Comprehensive energy data display method and system

Abstract

The invention discloses a comprehensive energy data display method and system, and the method comprises the steps: dynamically obtaining the energy use data of each project of a city through a multi-source data fusion technology, and collecting related environment parameters; according to the energy use data and the environmental parameters, calculating a comprehensive energy influence index of the influence degree of each project on the energy efficiency; calculating the display priority of each project according to the comprehensive energy influence index; based on the display priority, performing hierarchical classification on the project to form a multi-level project display structure; and combining the geographical distribution condition of each item with the display priority, carrying out rolling visual display, and highlighting the priority items of different levels through a thermodynamic diagram. By utilizing the embodiment of the invention, through hierarchical classification of the projects and visual display based on geographic information, the priority projects of different levels can be quickly identified, a targeted energy management strategy is formulated, the resource utilization efficiency is improved, the environmental burden is reduced, and sustainable development of cities is promoted.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and in particular to a comprehensive energy data display method and system. Background Art

[0002] With the global emphasis on sustainable development and the effective use of energy resources, urban energy management has become one of the major challenges facing today's society. With the acceleration of urbanization, urban energy consumption has increased year by year, leading to energy resource shortages and intensified environmental pollution. How to effectively monitor and evaluate the energy use of various urban projects and improve the level of urban energy management has become an urgent problem for governments, enterprises and research institutions. In this context, traditional energy data processing methods are relatively simple, often relying on a single data source, lacking comprehensive analysis, and difficult to truly reflect the energy efficiency of various projects in the city. At the same time, the existing energy data display methods are mostly static, unable to be updated in a timely manner, and lack consideration of environmental factors, resulting in a less intuitive display effect, which affects decision makers' control and optimization of energy use. Summary of the invention

[0003] The purpose of the present invention is to provide a comprehensive energy data display method and system to address the deficiencies in the prior art. It can quickly identify priority projects at different levels through hierarchical classification of projects and visual display based on geographic information, and then formulate targeted energy management strategies, improve resource utilization efficiency, reduce environmental burden, and promote the sustainable development of cities.

[0004] An embodiment of the present application provides a comprehensive energy data display method, the method comprising: Through multi-source data fusion technology, the energy usage data of various projects in the city are dynamically obtained, and relevant environmental parameters are collected at the same time; Calculate a comprehensive energy impact index of the impact of each project on energy efficiency based on the energy usage data and the environmental parameters; Calculate the display priority of each project according to the comprehensive energy impact index; Based on display priority, projects are classified into layers to form a multi-level project display structure; The geographical distribution of each project is combined with the display priority to make a rolling visual display, and the priority projects at different levels are highlighted through heat maps.

[0005] Optionally, the calculation formula of the comprehensive energy impact index is:

[0006] Among them, the is the comprehensive energy impact index of the i-th project, is the energy efficiency of the i-th project, Score the environmental impact of the i-th project, Score the social benefit of the i-th project. is the technical risk assessment score of the i-th project, is the threshold score of technical risk, , , , , is the corresponding adjustment coefficient, which is used to adjust the influence weights and nonlinear effects of different factors.

[0007] Optionally, the calculation formula for the display priority is:

[0008] Among them, the is the display priority of the i-th item, Score the resource consumption of the i-th project, is the maximum baseline value of available resource consumption, Indicates the negative impact of resource consumption, is the minimum benchmark value of social benefits. is the maximum benchmark value of social benefits, Indicates the positive impact of social benefits.

[0009] Optionally, based on the display priority, the projects are hierarchically classified to form a multi-level project display structure, including: Each project is displayed in layers according to the display priority and the preset priority threshold range; Classify each item in each layer, assign corresponding item labels and display them; Items of the same category within each layer are dynamically connected and displayed, and items with specific associations in different categories within each layer are dynamically connected and displayed.

[0010] Another embodiment of the present application provides a comprehensive energy data display system, the system comprising: The acquisition module is used to dynamically acquire energy usage data of various projects in the city through multi-source data fusion technology, and collect relevant environmental parameters at the same time; A first calculation module, used to calculate a comprehensive energy impact index of the impact of each project on energy efficiency based on the energy usage data and the environmental parameters; A second calculation module is used to calculate the display priority of each project according to the comprehensive energy impact index; The hierarchical module is used to classify projects into layers based on display priority to form a multi-level project display structure; The display module is used to combine the geographical distribution of each project with the display priority, perform a scrolling visual display, and highlight the priority projects at different levels through a heat map.

[0011] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to execute any of the above methods when running.

[0012] Yet another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any of the methods described above.

[0013] Compared with the prior art, the present invention provides a comprehensive energy data display method, which dynamically obtains the energy usage data of various projects in the city through multi-source data fusion technology, and collects relevant environmental parameters at the same time; calculates the comprehensive energy impact index of the impact of each project on energy efficiency according to the energy usage data and the environmental parameters; calculates the display priority of each project according to the comprehensive energy impact index; based on the display priority, the projects are hierarchically classified to form a multi-level project display structure; the geographical distribution of each project is combined with the display priority for rolling visual display, and the priority projects at different levels are highlighted through a heat map, so that the priority projects at different levels can be quickly identified through the hierarchical classification of the projects and the visual display based on geographic information, and then targeted energy management strategies are formulated to improve resource utilization efficiency, reduce environmental burden, and promote the sustainable development of the city. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A hardware structure block diagram of a computer terminal for a comprehensive energy data display method provided by an embodiment of the present invention; Figure 2 A schematic diagram of a flow chart of a comprehensive energy data display method provided by an embodiment of the present invention; Figure 3 A schematic diagram of the structure of a comprehensive energy data display system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0015] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but should not be construed as limiting the present invention.

[0016] The embodiment of the present invention firstly provides a comprehensive energy data display method, which can be applied to electronic devices, such as computer terminals, specifically ordinary computers, etc.

[0017] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of a computer terminal of a comprehensive energy data display method provided by an embodiment of the present invention. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data. Optionally, the computer terminal may also include a transmission device 106 for communication functions and an input and output device 108. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0018] The memory 104 can be used to store software programs and modules of application software, such as program instructions / modules corresponding to the comprehensive energy data display method in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, implementing the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0019] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0020] See also Figure 2, an embodiment of the present invention provides a comprehensive energy data display method, which may include the following steps: S201, dynamically acquiring energy usage data of various projects in the city through multi-source data fusion technology, and collecting relevant environmental parameters at the same time; specifically, one implementation method may include: 1. Data source identification and aggregation In the initial stage, identify various data sources within the city, including but not limited to smart grids, smart water systems, gas monitoring systems, environmental monitoring sites, traffic management systems, and social media data. Through cooperation with relevant departments and enterprises, establish a data source catalog to aggregate and standardize different data sources, ensuring that the data format is unified and can be used for subsequent integration. 2. Distributed sensor network configuration Deploy distributed sensor networks in key areas and key projects. These sensors can monitor energy usage (such as electricity, gas, water, etc.) and environmental parameters (such as temperature, humidity, PM2.5 and other pollutant concentrations) in real time. Select low-power wide area network (LPWAN) technology to ensure that sensors are online for a long time and have wide coverage, and ensure data accuracy through regular maintenance and calibration. 3. Establish a data fusion framework. Design a data fusion processing framework with a hierarchical architecture. The bottom layer is responsible for data collection and preliminary cleaning, the middle layer handles the fusion of multi-source data, and the top layer performs comprehensive data analysis and display. Use a data stream processing platform (such as Apache Flink) to support the push and processing of real-time data to ensure rapid response to new data. 4. Implementation of multiple data fusion algorithms Introduce multiple algorithms in data fusion, such as Kalman filter based on signal processing to smooth sensor data and eliminate noise, while using deep learning models for anomaly detection. Clustering algorithms (such as K-means) are used to group similar energy usage patterns together to identify typical energy consumption behaviors and potential abnormal cases. This multiple fusion algorithm can achieve a deep understanding of different data to obtain more accurate energy efficiency indicators. 5. Dynamic update mechanism of environmental parameters Design a dynamic update mechanism for environmental parameters, combine meteorological data, traffic flow data and information on urban activities (such as large-scale events, holidays, etc.), and use machine learning models to predict short-term trends in environmental parameters to ensure the timeliness and reliability of environmental monitoring data. Use time series analysis methods to establish a dynamic model of environmental parameters, thereby affecting the actual situation of energy use. 6. Data visualization and interactive display Use data visualization tools (such as Tableau or D3.js) to build interactive panels to present real-time energy usage data and environmental parameters to users in an intuitive way. Through various forms such as heat maps, trend maps and dashboards, managers can quickly identify data patterns and abnormal situations to support quick decision-making. 7. Establishment of data storage and management system Choose a high-performance distributed database (such as Cassandra or InfluxDB) to store all the merged data for subsequent data access and query. When designing the data storage structure, ensure that the data can be flexibly retrieved according to different dimensions (such as time, project type, geographic location, etc.), and implement data version control and failure management to ensure data security and integrity. 8. Feedback and optimization mechanism A feedback mechanism is set up in the system to regularly review and evaluate the acquired data and analysis results, and continuously adjust the data collection strategy and fusion algorithm according to the actual results. This feedback and optimization cycle helps to improve the overall performance of the system and ensure the accuracy and real-time nature of energy data.

[0021] The implementation of the above steps can not only effectively integrate and dynamically obtain energy usage data and environmental parameters of various projects in the city, but also ensure the accuracy and completeness of the data through a variety of advanced technical means. Through real-time and visual data analysis, decision makers can more quickly identify energy efficiency issues and environmental impacts, thereby formulating more reasonable management strategies. This approach enhances the level of intelligence in urban energy management, provides strong support for achieving sustainable development goals, and provides a model for other cities to learn from.

[0022] S202, calculating a comprehensive energy impact index of the impact of each project on energy efficiency based on the energy usage data and the environmental parameters; 1. Comprehensive assessment: By combining energy usage data and environmental parameters, it is possible to comprehensively evaluate the energy efficiency performance of each project, reveal the relationship between energy use and environmental protection, and help governments and enterprises make more scientific decisions. 2. Prioritization: This calculation process provides an important basis for the subsequent display priority allocation, so that resources can be allocated to the projects that need improvement the most, thereby improving the overall energy efficiency. 3. Dynamic optimization: Through the acquisition and calculation of real-time dynamic data, it can timely reflect changes in project energy efficiency, support dynamic adjustment and optimization strategies, and thus improve the flexibility and effectiveness of urban energy management.

[0023] Specifically, a calculation formula for a comprehensive energy impact index can be:

[0024] The index can comprehensively reflect the comprehensive performance of the project in terms of energy efficiency, environmental impact, social benefits, and technical risks. The significance of designing this formula is: 1. Comprehensive evaluation: By introducing multiple factors, the comprehensive energy efficiency of the project can be evaluated comprehensively and accurately, supporting decision-makers to make more scientific judgments in resource allocation and policy formulation. 2. Dynamic adjustment: The formula reflects a nonlinear relationship and can adapt to the characteristics of different projects and changes in the external environment, ensuring the flexibility and adaptability of the analysis. 3. Quantifiable indicators: It provides a quantitative indicator, which makes the comparison of various projects more objective and helps to clarify which projects deserve priority.

[0025] Among them, the is the comprehensive energy impact index of the i-th project, is the energy efficiency of the i-th project, Score the environmental impact of the i-th project, Score the social benefit of the i-th project. is the technical risk assessment score of the i-th project, is the threshold score of technical risk, , , , , is the corresponding adjustment coefficient, which is used to adjust the influence weights and nonlinear effects of different factors.

[0026] 1. Part I:

[0027] - :Adjustment coefficient, used to control the impact of energy efficiency on the comprehensive impact index. The value of can set the weight and importance of this indicator in the overall calculation. - : An index form of energy efficiency, which aims to emphasize the importance of energy efficiency in influencing the index. Using the power relationship Can introduce nonlinear characteristics, so that when energy efficiency is significantly improved, The growth rate also increased accordingly, highlighting the potential for improvement in energy efficiency. - :The negative impact of environmental impact score is introduced into the model through the exponential decay function. This part decreases rapidly when the environmental impact score is high. , reflecting the negative effect of environmental parameters, and adjusting the coefficient to control its decay rate. 2. Part II:

[0028] - : Another adjustment coefficient that controls the importance of the social benefit score in the comprehensive impact index. By adjusting the value here, the importance of social benefits between different projects can be reflected. - :Describes the relationship between social benefit score and technical risk. When the technical risk is below the threshold When the social benefits The positive contribution of the technology risk is relatively large; when the technology risk exceeds this threshold, the technology risk will increase rapidly in the form of a square. This reflects that when the technical risk is high, even if the social benefit score is high, the overall impact index will be significantly suppressed.

[0029] 1. (Adjustment coefficient: Energy efficiency weight coefficient): Controls the weight of energy efficiency in the calculation and sets the importance of energy efficiency in the comprehensive impact. It is set through historical data analysis and expert consultation, combined with the actual operation of the project, and usually a value between 0 and 1 is selected. 2. (Adjustment coefficient: nonlinear index of energy efficiency effect): Introducing nonlinear characteristics, emphasizing that when energy efficiency is significantly improved, The increase in the number of should also increase significantly. Through regression analysis of historical data, find the best fit and determine The appropriate value is usually A value greater than 1 indicates a nonlinear positive effect. 3. (Adjustment coefficient: environmental impact attenuation coefficient): Control environmental impact on The intensity of the negative impact of the environmental impact is determined by analyzing the historical data of the environmental impact score, usually using a learning algorithm (such as regression analysis) to estimate the decay rate of the environmental impact in the index calculation. 4. (Adjustment coefficient: social benefit weight coefficient): Control social benefits in Importance in calculations. Determined through a combination of expert evaluation and empirical research, usually quantified through surveys of the relative importance of social benefits or public policy documents. 5. (Adjustment coefficient: technical risk impact factor): adjusts the intensity of the negative impact of technical risks on social benefit contributions. Through historical project data analysis and expert evaluation, it is usually determined in a situational analysis to ensure that it reflects both the degree of risk and the reasonableness of the contribution to social benefits. 6. (Technical Risk Assessment Score): Quantitatively assess the technical risks of a project for weighing subsequent impacts. Scores are given based on multiple dimensions such as the project's technical feasibility and complexity, usually using a combination of expert scoring and historical data. 7. (Technical Risk Threshold Score): Determine the cut-off point for how technical risks affect social benefits. Based on the nature of the project and industry standards, combined with risk assessments of historical projects, a relatively reasonable risk level benchmark is set. 8. (Energy efficiency): Quantify the efficiency level of the project in energy use, which directly affects Calculation is based on actual energy consumption data and scale, usually the calculation formula is (actual output / actual input). 9. (Environmental Impact Score): reflects the impact of the project on the environment and directly participates in The environmental monitoring data and standard evaluation system are used to score, and a weighted average is obtained by combining multiple environmental indicators. 10. (Social Benefit Score): Quantify the project's performance in terms of social benefits and impact The final result is usually quantified through social surveys, public feedback and other means, and is evaluated based on actual social benefit data. S203, calculating the display priority of each project according to the comprehensive energy impact index; 1. Optimize resource allocation: By showing the priority calculation, limited resources can be allocated to those projects with the greatest impact and reasonable use of resources, thereby improving overall energy efficiency and sustainable development. 2. Promote project transparency: Demonstrate that the calculation of priorities is based on data, ensure that the comparison between projects is fair and transparent, and help the public understand and accept the projects. 3. Guide decision-making and policy making: The results showing priorities will become an important reference for policy makers and can guide the formulation of more reasonable strategies in urban energy management and environmental governance. 4. Dynamic feedback adjustment: When the resource consumption or social benefits of a project change, the display priority can be quickly reflected to ensure that decisions are based on the latest data, thereby achieving flexible adjustment and optimization.

[0030] Specifically, a calculation formula for display priority may be:

[0031] This formula aims to comprehensively consider the comprehensive energy impact index, resource consumption and social benefits of each project, thereby generating a multi-dimensional display priority. The significance of designing this formula is: 1. Multi-factor comprehensive evaluation: By combining multiple factors, it is possible to more comprehensively evaluate the priority of the project, ensuring that the evaluation is not only based on energy efficiency, but also takes into account resource effectiveness and social impact. 2. Dynamic adjustment capability: Various parameters in the calculation can be adjusted in real time to ensure that the display priority can adapt to changes in different project status and improve decision-making flexibility. 3. Clarify display goals: Through quantified display priorities, it is possible to clearly define the projects that should be displayed first and improve the targeted nature of project display.

[0032] Among them, the is the display priority of the i-th item, Score the resource consumption of the i-th project, is the maximum baseline value of available resource consumption, Indicates the negative impact of resource consumption, is the minimum benchmark value of social benefits. is the maximum benchmark value of social benefits, Indicates the positive impact of social benefits.

[0033] 1. :Comprehensive Energy Impact Index, reflecting the performance of the project in terms of energy efficiency, environmental impact and social benefits. As the basis for displaying priorities, ensure that the calculation of priorities is consistent with the overall performance of the project. 2. : Indicates the negative impact of resource consumption. Score the resource consumption of the i-th project, It is the maximum available resource consumption baseline value. When resource consumption increases, the value of this item will decrease, thereby reducing the display priority, ensuring that projects with efficient resource usage are displayed first. 3. : Indicates the positive impact of social benefits. Score social benefits, and These are the minimum and maximum benchmark values ​​of social benefits. When social benefits increase, the display priority is enhanced by increasing this item, and projects with great social impact are encouraged to be displayed.

[0034] (Resource Consumption Score): Evaluate the resource utilization efficiency of the project to ensure efficient use of resources. It is obtained based on the actual resource consumption data of the project during operation, usually obtained through actual measurement and statistical analysis. (Maximum resource consumption benchmark value): used as a reference for resource consumption. Standardize. Based on historical project data analysis, select the maximum value of resource consumption in operation as the benchmark.

[0035] (Social benefit score): measures the project's contribution to society and reflects its social value. The score is obtained by collecting data from multiple dimensions such as questionnaires, public feedback, and project implementation effects, and then weighting them. and : Represents the minimum and maximum benchmark values ​​of social benefit scores. By analyzing the social benefit data of historical projects, a reasonable range of values ​​is determined.

[0036] S204, based on the display priority, hierarchically classify the projects to form a multi-level project display structure; This step mainly analyzes the calculated display priority (PS_i) and classifies and displays each project in layers according to its priority. Specifically, by setting a preset threshold range for the display priority, projects of different priorities can be effectively divided into different layers, allowing users to quickly identify which projects are most in need of attention and processing. In this process, each layer can be further classified according to the nature, function or other characteristics of the project to facilitate rapid retrieval and effective communication of information. This method can use different visualization tools and techniques to enhance the user's experience and understanding. 1. Clear information transmission: After the projects are classified into layers, users can quickly find the required content in the hierarchical information architecture, thereby improving the efficiency of information acquisition. 2. Priority highlighting: Through multi-level display, high-priority projects are emphasized to make them more easily noticed and ensure that key projects can receive reasonable decision-making support. 3. Enhance decision-making basis: Through a visual hierarchy, decision makers can clearly see the priority of each project at each level, which facilitates resource allocation and project scheduling. 4. Promote collaboration and interaction: Project presentations at different levels promote communication among stakeholders. Especially when it comes to projects involving cross-departmental or multi-party collaboration, more transparent information presentation helps to reach consensus.

[0037] Specifically, each project may be displayed in layers according to the display priority and the preset priority threshold range; This step is to preliminarily classify and stratify all items according to their display priority. Items are divided into different levels according to preset thresholds (such as high, medium, and low). For example, high-priority items can be classified into the first level, medium-priority items into the second level, and low-priority items into the third level. Through stratification, users can quickly identify the most urgent or important items. When users are looking for specific items, they can directly focus on the relevant level to avoid getting lost in a large amount of information.

[0038] Based on historical data and expert opinions, multiple thresholds for display priority can be set. For example, PS_i<50 is defined as low priority, 50 ≤ PS_i<75 is defined as medium priority, and PS_i ≥ 75 is defined as high priority.

[0039] After obtaining the calculated display priority, the system automatically stratifies all items according to their PS_i values, placing them in the high priority layer, medium priority layer, and low priority layer. At this point, the items in each layer have not yet been subdivided.

[0040] Classify each item in each layer, assign corresponding item labels and display them; On the basis of stratification, the projects within each layer are classified in more detail. For example, they can be identified and classified according to the nature of the project (such as energy, environment, social benefits, etc.) or implementation status (such as planning, implementation, completed). Through labeling, users can quickly understand the project type and status, and make corresponding attention and decisions. Classified project labels can promote communication between different stakeholders and make discussions clearer and more efficient.

[0041] Machine learning technology can be used to analyze project features and automatically generate corresponding labels for each project. For example, by performing natural language processing (NLP) on project documents, keywords can be extracted to form labels (such as "renewable energy", "intelligent transportation", etc.).

[0042] Items of the same category within each layer are dynamically connected and displayed, and items with specific associations in different categories within each layer are dynamically connected and displayed.

[0043] Based on the classification of each layer, projects of the same category are dynamically connected, and projects with specific associations between different categories are also visually connected. For example, if an energy project is associated with an environmental protection project, the relationship between them is displayed through visual means (such as lines, arrows, etc.). Through dynamic connection, users can not only see the priority and classification of projects, but also understand the interdependence and connection between different projects, which helps to grasp the overall situation. Dynamic connection enables users to cross levels and categories, fully grasp the synergy between project groups, and enhance the comprehensiveness of decision-making.

[0044] In the relationship graph between projects, related projects can be dynamically identified and connected through graphic algorithms. This step can use adjacency matrices and deep learning algorithms to automatically generate relationship graphs between projects.

[0045] You can use unified visualization tools (such as D3.js or Tableau) to achieve dynamic display, and display the project hierarchy, classification labels, and relationships between projects in a graphical form. When a user clicks on an item, the system can dynamically adjust the display to highlight the project's associations and similar projects. Through the implementation of the above steps, not only can a multi-level project display structure be formed, but also the best results can be achieved in user experience and decision support, promoting the efficient operation of integrated energy management.

[0046] S205, combining the geographical distribution of each project with the display priority, performing a rolling visual display, and highlighting the priority projects at different levels through a heat map.

[0047] The core of this step is to directly combine the display priority of the project with its geographical location, and to display the distribution of each project in geographic space through visualization technology. Combining the display priority with the geographic information system (GIS) can effectively show the relative position of different projects in the city or region, and highlight high-priority projects through heat maps, so that users can clearly identify the dense areas and distribution characteristics of projects with different priorities. This method can not only help users quickly obtain project information, but also provide intuitive spatial analysis to facilitate decision-making and resource allocation. Function and significance: 1. Improve data visualization: By combining the project’s geographic location with display priority, users can more intuitively understand the spatial relationship of the project, making it easier to make quick decisions and take actions. 2. Enhanced decision support: The visualized data provides accurate geographic information for city managers and decision makers, helping them to plan and manage urban projects more effectively and ensure optimal allocation of resources. 3. Identify priority clusters: Heat maps can highlight the concentration areas of high-priority projects, helping decision makers identify areas that need to be focused on, so as to better carry out regional governance and project promotion. 4. Promote public participation and transparency: Through visual display, the public can clearly understand the priority and geographical distribution of the project, increase the transparency of the project, and promote the participation and support of all sectors of society. One way to achieve this may include: Step 1: Data collection and preprocessing Collect geographic information data related to the project, such as the project's latitude and longitude, address, and previously calculated display priority data (PS_i). Through data cleaning and standardization, ensure that all data is in the same coordinate system and in the same format.

[0048] Step 2: Geographic Information System (GIS) Integration Use a GIS platform (such as ArcGIS or QGIS) to create a dynamic map and mark the location information of all projects on the map. Each project can be marked with a different color or symbol to indicate its display priority. For example, use red markers for high priority projects, yellow for medium priority projects, and green for low priority projects.

[0049] Step 3: Heat map generation The heat map algorithm is used to analyze the display priority of the project. The algorithm can use the "kernel density estimation-based" method to spatially weight the priority of each project on the map to form a priority heat map. The weighted influence range of the priority can determine the degree of diffusion of the heat area by setting the radius parameter.

[0050] Step 4: Dynamic update and visualization In the GIS platform, the dynamic refresh function is implemented, and the new project data and priority information are updated to the map in real time using the WebSocket or HTTP real-time communication protocol. Whenever a new project is added or the priority of the original project changes, the system will automatically update the heat map to ensure that the map always reflects the current project situation.

[0051] Step 5: User interaction design In the visualization interface, design the user interaction function. Users can view the priority distribution of different areas by zooming and panning the map. At the same time, add a project filter to allow users to filter the mapped projects according to different conditions (such as project category, resource consumption, etc.), and automatically update the heat map and the color of the mark. This technical implementation not only improves the data visualization effect, but also enhances the interactivity between users and data, making the decision-making process of integrated energy management more scientific and efficient.

[0052] It can be seen that through multi-source data fusion technology, the energy usage data of various projects in the city are dynamically obtained, and relevant environmental parameters are collected at the same time; based on the energy usage data and the environmental parameters, the comprehensive energy impact index of the impact of each project on energy efficiency is calculated; based on the comprehensive energy impact index, the display priority of each project is calculated; based on the display priority, the projects are hierarchically classified to form a multi-level project display structure; the geographical distribution of each project is combined with the display priority for a rolling visual display, and the priority projects at different levels are highlighted through a heat map, so that through the hierarchical classification of projects and the visual display based on geographic information, priority projects at different levels can be quickly identified, and then targeted energy management strategies can be formulated to improve resource utilization efficiency, reduce environmental burden, and promote the sustainable development of the city.

[0053] Another embodiment of the present invention provides a comprehensive energy data display system, see Figure 3 , the system may include: The acquisition module 301 is used to dynamically acquire energy usage data of various projects in the city through multi-source data fusion technology, and collect relevant environmental parameters at the same time; A first calculation module 302, for calculating a comprehensive energy impact index of the impact of each project on energy efficiency according to the energy usage data and the environmental parameters; A second calculation module 303 is used to calculate the display priority of each project according to the comprehensive energy impact index; A hierarchical module 304, for classifying the projects into hierarchical categories based on display priorities to form a multi-level project display structure; The display module 305 is used to combine the geographical distribution of each project with the display priority, perform a scrolling visual display, and highlight the priority projects at different levels through a heat map.

[0054] It can be seen that through multi-source data fusion technology, the energy usage data of various projects in the city are dynamically obtained, and relevant environmental parameters are collected at the same time; based on the energy usage data and the environmental parameters, the comprehensive energy impact index of the impact of each project on energy efficiency is calculated; based on the comprehensive energy impact index, the display priority of each project is calculated; based on the display priority, the projects are hierarchically classified to form a multi-level project display structure; the geographical distribution of each project is combined with the display priority for a rolling visual display, and the priority projects at different levels are highlighted through a heat map, so that through the hierarchical classification of projects and the visual display based on geographic information, priority projects at different levels can be quickly identified, and then targeted energy management strategies can be formulated to improve resource utilization efficiency, reduce environmental burden, and promote the sustainable development of the city.

[0055] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0056] Specifically, in this embodiment, the above storage medium may be configured to store a computer program for performing the following steps: S201, through multi-source data fusion technology, dynamically obtain energy usage data of various projects in the city and collect relevant environmental parameters; S202, calculating a comprehensive energy impact index of the impact of each project on energy efficiency based on the energy usage data and the environmental parameters; S203, calculating the display priority of each project according to the comprehensive energy impact index; S204, based on the display priority, hierarchically classify the projects to form a multi-level project display structure; S205, combining the geographical distribution of each project with the display priority, performing a rolling visual display, and highlighting the priority projects at different levels through a heat map.

[0057] It can be seen that through multi-source data fusion technology, the energy usage data of various projects in the city are dynamically obtained, and relevant environmental parameters are collected at the same time; based on the energy usage data and the environmental parameters, the comprehensive energy impact index of the impact of each project on energy efficiency is calculated; based on the comprehensive energy impact index, the display priority of each project is calculated; based on the display priority, the projects are hierarchically classified to form a multi-level project display structure; the geographical distribution of each project is combined with the display priority for a rolling visual display, and the priority projects at different levels are highlighted through a heat map, so that through the hierarchical classification of projects and the visual display based on geographic information, priority projects at different levels can be quickly identified, and then targeted energy management strategies can be formulated to improve resource utilization efficiency, reduce environmental burden, and promote the sustainable development of the city.

[0058] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0059] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0060] Specifically, in this embodiment, the processor may be configured to perform the following steps through a computer program: S201, through multi-source data fusion technology, dynamically obtain energy usage data of various projects in the city and collect relevant environmental parameters; S202, calculating a comprehensive energy impact index of the impact of each project on energy efficiency based on the energy usage data and the environmental parameters; S203, calculating the display priority of each project according to the comprehensive energy impact index; S204, based on the display priority, hierarchically classify the projects to form a multi-level project display structure; S205, combining the geographical distribution of each project with the display priority, performing a rolling visual display, and highlighting the priority projects at different levels through a heat map.

[0061] It can be seen that through multi-source data fusion technology, the energy usage data of various projects in the city are dynamically obtained, and relevant environmental parameters are collected at the same time; based on the energy usage data and the environmental parameters, the comprehensive energy impact index of the impact of each project on energy efficiency is calculated; based on the comprehensive energy impact index, the display priority of each project is calculated; based on the display priority, the projects are hierarchically classified to form a multi-level project display structure; the geographical distribution of each project is combined with the display priority for a rolling visual display, and the priority projects at different levels are highlighted through a heat map, so that through the hierarchical classification of projects and the visual display based on geographic information, priority projects at different levels can be quickly identified, and then targeted energy management strategies can be formulated to improve resource utilization efficiency, reduce environmental burden, and promote the sustainable development of the city.

[0062] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the drawings. Any changes made according to the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which still do not exceed the spirit covered by the description and drawings, should be within the protection scope of the present invention.

Claims

1. A comprehensive energy data display method, characterized in that: The method comprises: Through multi-source data fusion technology, the energy usage data of various projects in the city are dynamically obtained, and relevant environmental parameters are collected at the same time; Calculate a comprehensive energy impact index of the impact of each project on energy efficiency based on the energy usage data and the environmental parameters; Calculate the display priority of each project according to the comprehensive energy impact index; Based on display priority, projects are classified into layers to form a multi-level project display structure; The geographical distribution of each project is combined with the display priority to make a rolling visual display, and the priority projects at different levels are highlighted through heat maps.

2. The method according to claim 1, characterized in that The calculation formula of the comprehensive energy impact index is: Among them, the is the comprehensive energy impact index of the i-th project, is the energy efficiency of the i-th project, Score the environmental impact of the i-th project, Score the social benefit of the i-th project. is the technical risk assessment score of the i-th project, is the threshold score of technical risk, , , , , is the corresponding adjustment coefficient, which is used to adjust the influence weights and nonlinear effects of different factors.

3. The method according to claim 2, characterized in that The calculation formula for the display priority is: Among them, the is the display priority of the i-th item, Score the resource consumption of the i-th project, is the maximum baseline value of available resource consumption, Indicates the negative impact of resource consumption, is the minimum benchmark value of social benefits. is the maximum benchmark value of social benefits, Indicates the positive impact of social benefits.

4. The method according to claim 3, characterized in that Based on the display priority, the projects are hierarchically classified to form a multi-level project display structure, including: Each project is displayed in layers according to the display priority and the preset priority threshold range; Classify each item in each layer, assign corresponding item labels and display them; Items of the same category within each layer are dynamically connected and displayed, and items with specific associations in different categories within each layer are dynamically connected and displayed.

5. A comprehensive energy data display system, characterized in that: The system comprises: The acquisition module is used to dynamically acquire energy usage data of various projects in the city through multi-source data fusion technology, and collect relevant environmental parameters at the same time; A first calculation module, used to calculate a comprehensive energy impact index of the impact of each project on energy efficiency based on the energy usage data and the environmental parameters; A second calculation module is used to calculate the display priority of each project according to the comprehensive energy impact index; The hierarchical module is used to classify projects into layers based on display priority to form a multi-level project display structure; The display module is used to combine the geographical distribution of each project with the display priority, perform a scrolling visual display, and highlight the priority projects at different levels through a heat map.

6. The system according to claim 5, characterized in that The calculation formula of the comprehensive energy impact index is: Among them, the is the comprehensive energy impact index of the i-th project, is the energy efficiency of the i-th project, Score the environmental impact of the i-th project, Score the social benefit of the i-th project. is the technical risk assessment score of the i-th project, is the threshold score of technical risk, , , , , is the corresponding adjustment coefficient, which is used to adjust the influence weights and nonlinear effects of different factors.

7. The system according to claim 6, characterized in that The calculation formula for the display priority is: Among them, the is the display priority of the i-th item, Score the resource consumption of the i-th project, is the maximum baseline value of available resource consumption, Indicates the negative impact of resource consumption, is the minimum benchmark value of social benefits. is the maximum benchmark value of social benefits, Indicates the positive impact of social benefits.

8. The system according to claim 7, characterized in that The layered module is specifically used for: Each project is displayed in layers according to the display priority and the preset priority threshold range; Classify each item in each layer, assign corresponding item labels and display them; Items of the same category within each layer are dynamically connected and displayed, and items with specific associations in different categories within each layer are dynamically connected and displayed.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 4 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 4.

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