Visualization method for power communication network evaluation based on multi-source data fusion

Abstract

The present invention belongs to the field of electric power communication network operation and maintenance technology, and specifically discloses a method for visualizing electric power communication network evaluation based on multi-source data fusion, including: utilizing a 2.5D indicator coding stereo wall visualization method to perform spatial superposition expression of multi-source indicator data associated with actual physical paths in the electric power communication network; constructing an improved multi-column Sankey diagram structure based on the optical path dimension to perform global comparative sorting and indicator structure analysis on various indicator evaluation values ​​of the optical path at the logical path level; utilizing a glyph visualization component based on a radial layout to synchronously compare the multi-dimensional indicators of each optical path to complete the visualization of electric power communication network evaluation. The present invention solves the problem that existing evaluation visualization solutions cannot fully reflect the physical spatial structure of the communication network, nor can they respond to user selection behaviors in real time, resulting in a significant gap with the current operation and maintenance personnel's needs for real-time, interactive, and comprehensive visualization systems.

Description

Technical Field

[0001] The present invention belongs to the technical field of power communication network operation and maintenance, and particularly relates to a power communication network evaluation visualization method based on multi-source data fusion. Background Art

[0002] As the fundamental support platform for power system dispatching, control, protection, and information exchange, the operational status of the power communication network directly impacts the safety and reliability of the entire power grid. With the continuous expansion of ultra-high voltage (UHV), smart grids, and new energy access, the power communication network is becoming increasingly complex, characterized by multiple paths, multiple systems, and multiple services. Its communication links encompass not only optical cables, equipment, and sites, but also closely integrate heterogeneous information from multiple sources, including geographic location, pipeline structure, and resource allocation.

[0003] During the operation, maintenance, and troubleshooting of power communication networks, assessing the health of network links is a key approach. Typical assessment dimensions include, but are not limited to, optical cable attenuation, fiber core margin, number of common trenches, and number of common cables. Current assessment methods for power communication networks can be broadly categorized into two types: report-based offline analysis and static layer-based display.

[0004] Report-based analysis typically exports these indicators in a tabular format, presenting them in static reports. While this approach offers strong data integrity, it lacks spatial correlation and visual comparison capabilities. Users must independently perform spatial associations and indicator reasoning, resulting in low efficiency and the potential for missing key risk points.

[0005] A layered display (such as layered rendering in GIS systems) renders each indicator as a separate layer on the map interface. This requires users to frequently switch between different indicator views using a "layer switch" during evaluation. This approach typically only allows users to view information for a single path within the current indicator layer, preventing simultaneous comparison of multiple paths. Furthermore, users must mentally integrate information from multiple indicator layers, relying heavily on manual judgment and experience, resulting in high decision-making costs.

[0006] Furthermore, existing assessment visualization solutions mostly use two-dimensional static graphics, lacking three-dimensional representation and dynamic interaction mechanisms. This representation fails to fully capture the physical spatial structure of communication networks (e.g., winding geographic paths and the interweaving of multiple channels), nor can it respond in real time to user selections (e.g., clicking to view details, filtering out abnormal paths, and expanding related indicators). This significantly falls short of the current demands of operations and maintenance personnel for real-time, interactive, and comprehensive visualization systems. Therefore, a visualization method that integrates multidimensional indicators, supports path-level spatial encoding, and interactive perception is urgently needed to improve the assessment efficiency and decision-making support capabilities of power communication networks. Summary of the Invention

[0007] The purpose of this invention is to solve the problem that existing evaluation visualization solutions cannot fully reflect the physical spatial structure of the communication network, nor can they respond to the user's selection behavior in real time, resulting in a significant gap with the current operation and maintenance personnel's demand for real-time, interactive and comprehensive visualization systems. A power communication network evaluation visualization method based on multi-source data fusion is proposed.

[0008] The technical solution of the present invention is: a method for visualizing power communication network evaluation based on multi-source data fusion, comprising the following steps:

[0009] Using a 2.5D indicator-coded 3D wall visualization method, we spatially overlay the multi-source indicator data associated with the actual physical paths in the power communication network to generate a 3D wall structure.

[0010] Construct an improved multi-column Sankey diagram structure based on the light path dimension, and perform global comparison and ranking of various light path indicator evaluation values ​​and indicator structure analysis at the logical path level;

[0011] The radial layout-based glyph visualization component CompactStripeGlyph is used to visualize the multi-dimensional index values ​​in the light path samples and to perform synchronous comparison of the multi-dimensional indexes of each light path.

[0012] An interactive response mechanism is designed to respond to user trigger operations on the three-dimensional wall structure, the improved multi-column Sankey diagram structure, or visualization components, highlight the corresponding components, and display detailed data in a pop-up window to complete the visualization of the power communication network assessment.

[0013] Preferably, the 2.5D indicator-coded three-dimensional wall visualization method is used to perform spatial superposition expression on multi-source indicator data associated with actual physical paths in the power communication network to generate a three-dimensional wall structure, specifically comprising the following steps:

[0014] Get the physical path set in the power communication network topology :

[0015]

[0016] in, Indicates the total number of physical paths, Indicates the physical paths;

[0017] The first physical paths It is represented by the sequence of channel units that it passes through along the geographical path:

[0018]

[0019] in, Indicates the physical paths On the channel unit, Indicates the physical paths The total number of channels passed, each channel unit There is multi-dimensional indicator information on it, and the indicator vector is constructed based on the multi-dimensional indicator information. for:

[0020]

[0021] in, Channel cell No. indicator data, Channel cell The total number of indicator data;

[0022] The normalization function is used to normalize the indicators of different dimensions in the indicator vector. The specific formula is:

[0023]

[0024] in, represents the normalized channel unit No. indicator data, represents the normalized front channel unit No. The original data corresponding to the indicators The minimum value of represents the normalized front channel unit No. The original data corresponding to the indicators The maximum value of Represents the theoretical maximum value of the discrete index, represents the set of real numbers, represents the set of natural numbers;

[0025] Each channel unit corresponds to a two-dimensional location point set on the map :

[0026]

[0027] in, Indicates the channel unit The three-dimensional wall The latitude of a point, Indicates the channel unit The three-dimensional wall The longitude of a point;

[0028] Based on two-dimensional location point set Determine the geographical location of the channel, form the foundation of the three-dimensional wall, and based on the normalized channel unit No. indicator data Each channel unit Mapped into cube primitives on a two-dimensional base, the 2.5D three-dimensional wall is constructed.

[0029] As an advantage, the normalized channel unit No. indicator data Each channel unit Mapped to a cube primitive on a two-dimensional basis, the specific mapping relationship is:

[0030] The width of the cube primitive is consistent with the width of each physical path;

[0031] The normalized channel unit No. indicator data Mapping generates cube primitive height;

[0032] Cube primitive colors are derived from the indicator vector via a color mapping mechanism that combines normalization with discrete color band segmentation.

[0033] Preferably, the color of the cube primitive is derived from the indicator vector by a color mapping mechanism that integrates normalization processing and discrete color band segmentation, specifically comprising the following steps:

[0034] Use ColorBrewer's perceptually balanced color spectrum set to divide the value range into n intervals:

[0035]

[0036] Each interval corresponds to an RGB color level, that is, a cube primitive , the normalized channel unit No. indicator data The mapping is:

[0037]

[0038] in, Indicates the final color of the 3D wall rendering. Represents flooring, used to map continuous normalized values ​​to discrete color segment indices.

[0039] Preferably, the improved multi-column Sankey diagram structure based on the light path dimension is used to perform global comparison and sorting and indicator structure analysis on various light path indicator evaluation values ​​at the logical path level, specifically including the following steps:

[0040] Constructing a set of logical paths :

[0041]

[0042] in, Indicates the logical paths, Corresponding to a set of aggregate evaluation indicators :

[0043]

[0044] in, Indicates the Logical paths No. The evaluation index scores, Indicates the Logical paths The total number of evaluation indicators;

[0045] Construct a Sankey diagram with K+1 columns, corresponding to K+1 indicator dimensions, with nodes in each column Indicates the Indicator paths, the node height is proportional to ,The edges between nodes represent the transfer relationships of the same path under different ,metric dimensions. The edge weight in the Sankey diagram is defined as a constant constant. The edge path color remains consistent for ,path identification. When a path is highlighted, its edge is automatically bolded or brightened;

[0046] Each column node The corresponding indicator scores are sorted from high to low, and the Sankey diagram flows from left to right, forming an indicator analysis path from the "comprehensive score" to each detailed indicator.

[0047] Preferably, the glyph visualization component CompactStripeGlyph adopts a radial fan-shaped structure for layout, and is formally presented as a set of centrally symmetrical and evenly distributed fan-shaped areas.

[0048] Preferably, the visualization of the multi-dimensional index values ​​in the light path sample specifically includes the following steps:

[0049] Based on the light path sample n Evaluation indicators , through the glyph visualization component CompactStripeGlyph The circular display area of ​​the arc is divided into n sector-shaped sub-areas , among which, Each sector area For evaluation indicators The value of ;

[0050] The interior of each sector area is divided into Layer, each layer represents the evaluation index A division on the value interval;

[0051] The stripes of each layer are arranged in the same width along the arc length direction to obtain a perceptible banded structure of stacked stripes;

[0052] Evaluation indicator variables The range of possible values ​​of is normalized to obtain the normalized value :

[0053]

[0054] Normalize the value Mapping to stripe filling layers :

[0055]

[0056] In the sector area Before filling The unfilled part of the layer stripes remains blank and is used to represent the value of the evaluation indicator variable.

[0057] Preferably, the method for synchronously comparing the multi-dimensional indicators of each optical path is specifically as follows:

[0058] Calculating the optical path In evaluating indicator variables The normalized value on Wako Road In evaluating indicator variables The normalized value on ;

[0059] According to the normalized value and normalized values , in the same sector area Draw two sets of nested or parallel stripe sets in and ;

[0060] Check the fan filling situation to determine the light path and optical path Based on the advantages and disadvantages of multi-dimensional attributes, the multi-dimensional indicators of each optical path are compared synchronously.

[0061] Preferably, the interactive response mechanism is specifically:

[0062] When hovering over a three-dimensional wall element, a floating tooltip displays the core indicator value of the corresponding channel unit;

[0063] When you click on a 3D wall element, the complete properties of the corresponding channel element will be displayed in the sidebar of the page;

[0064] Click a logic path node or streamline to globally highlight the associated elements of the logic path in all indicator columns.

[0065] The beneficial effects of the present invention are:

[0066] 1. Multi-dimensional indicators integrated into one map: This invention integrates and visualizes various evaluation indicators of the power communication network. A single map can present the data distribution of multiple dimensions, such as optical attenuation, fiber core redundancy, and co-cable and co-trench distribution. This avoids the tedious layer switching operations in traditional evaluations and improves information display efficiency.

[0067] 2. Intuitive Visualization: The 2.5D map wall rendering technology and color scheme used make the assessment results visually intuitive and vivid. The physical location of each optical path is associated with the assessment indicator through height, color, and other coding, enhancing geographic relevance and data readability, allowing users to more quickly identify abnormal sections or weak indicators.

[0068] 3. Comprehensive ranking and weakness identification: The improved Sankey diagram structure can intuitively compare and sort the scoring results of multiple light paths. The length and thickness of the streamlines reflect the strength of the indicators, allowing users to quickly identify the strengths and weaknesses of each light path, thereby performing targeted optimization and risk control.

[0069] 4. Compact expression and efficient comparison: The introduced CompactStripeGlyph glyph component adopts a radial fan structure and stripe hierarchical encoding method to compress and display multiple indicator information in a limited graphic space, with extremely high variable carrying density and perceptual consistency. It supports side-by-side comparison of two or more light paths under the same set of indicators, and intuitively reflects the strength and gap of variables through the number of stripe filling layers and color differences. Users can quickly perceive the comparative relationship of indicators between different light paths through graphical glyphs without relying on numerical tables, thereby improving the decision-making efficiency and cognitive efficiency of evaluation tasks. It is particularly suitable for refined weakness analysis and multi-path screening task scenarios.

[0070] 5. Strong Interactivity: This solution supports two-way interaction between the map and Sankey diagram. Clicking on either the map or Sankey diagram element triggers corresponding highlighting and data pop-up display, enhancing the system's practicality and decision-making value. This interactive design allows users to delve into the details of assessment results, helping operations personnel and decision-makers make more informed decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 The figure shows a flowchart of a visualization method for electric power communication network evaluation based on multi-source data fusion provided in Example 1 of the present invention.

[0072] Figure 2 The figure shows a schematic diagram of a three-dimensional plane perspective rendering of a power communication network in a certain city provided in Example 2 of the present invention.

[0073] Figure 3 Shown is a schematic diagram of the power communication network service selection panel provided in Example 2 of the present invention.

[0074] Figure 4 The figure shows a schematic diagram of the 2.5D state of a three-dimensional wall of a power communication network in a certain city provided in Example 2 of the present invention.

[0075] Figure 5 Shown is an enlarged schematic diagram of the details of a three-dimensional wall of a power communication network in a certain city provided in Example 2 of the present invention.

[0076] Figure 6 Shown is a schematic diagram of interactive display when clicking and hovering provided in Example 2 of the present invention.

[0077] Figure 7 Shown is the sorting diagram interface provided in Example 2 of the present invention.

[0078] Figure 8 Shown is a schematic diagram of visual rendering of a light path provided in Example 2 of the present invention.

[0079] Figure 9 Shown is the comparison chart interface provided in Example 2 of the present invention. DETAILED DESCRIPTION

[0080] The exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be understood that the embodiments shown and described in the accompanying drawings are merely exemplary and are intended to illustrate the principles and spirit of the present invention, rather than to limit the scope of the present invention.

[0081] Example 1:

[0082] like Figure 1 As shown, a visualization method for power communication network evaluation based on multi-source data fusion includes the following steps:

[0083] S1. Using a 2.5D indicator-coded 3D wall visualization method, we spatially overlay the multi-source indicator data associated with the actual physical paths in the power communication network to generate a 3D wall structure.

[0084] In this embodiment, the 2.5D indicator-coded stereo wall visualization method aims to spatially overlay the multi-source indicator data associated with the actual physical paths in the power communication network, clearly reflecting the indicator risk distribution and path composition of the network physical layer in a three-dimensional form. Step S1 specifically includes the following sub-steps:

[0085] Assume that there is a set of physical paths in the entire network topology for:

[0086]

[0087] in, Indicates the total number of physical paths. physical paths It can be expressed as a sequence of channel units that it passes through along the geographical path:

[0088]

[0089] Indicates the The first on the path channel unit, Indicates the path The total number of channels passed, each channel unit There is multi-dimensional indicator information on it, constructing the indicator vector for:

[0090]

[0091] in, Channel cell No. indicator data, Channel cell The total number of indicator data, in this embodiment, =4, Indicates the number of common grooves, which is discrete data; Indicates the number of shared cables, which is discrete data; Indicates the fiber core richness, which is a continuous variable; Represents the light attenuation information, which is a continuous variable. Then the normalization function is used to normalize the indicators of different dimensions:

[0092]

[0093] in, represents the normalized channel unit No. indicator data, represents the normalized front channel unit No. The original data corresponding to the indicators The minimum value of represents the normalized front channel unit No. The original data corresponding to the indicators The maximum value of Represents the theoretical maximum value of the discrete index, represents the set of real numbers, Represents the set of natural numbers.

[0094] Next, each channel unit corresponds to a two-dimensional location point set on the map:

[0095]

[0096] in, Indicates the channel unit The three-dimensional wall The latitude of a point, Indicates the channel unit The three-dimensional wall The longitude of a point;

[0097] Each channel drawn on the map is connected by a series of longitude and latitude coordinate points, based on a two-dimensional position point set. Determine the geographical location of the channel, form the foundation of the three-dimensional wall, and based on the normalized channel unit No. indicator data Each channel unit Mapped to a cube primitive on a two-dimensional basis, its visual expression is as follows:

[0098] The width of the cube primitive is consistent with the width of each physical path;

[0099] The normalized channel unit No. indicator data Mapping generates cube primitive height;

[0100] The cube primitive colors are derived from the indicator vectors through a color mapping mechanism that combines normalization with discrete color band segmentation.

[0101] During map rendering, the multiple 3D units of each path are arranged sequentially to form a "ribbon-like" 2.5D wall structure, showcasing the hierarchical evolution of the path's indicators in geographic space. To ensure a unified visual representation of the indicators within the 2.5D wall, embodiments of the present invention employ a color mapping mechanism that combines normalization with discrete color band segmentation.

[0102] The color map uses the perceptually balanced color spectrum provided by ColorBrewer to divide the value range into n intervals:

[0103]

[0104] Each interval corresponds to an RGB color level, that is, a cube primitive , the normalized channel unit No. indicator data The mapping is:

[0105]

[0106] in, Indicates the final color of the 3D wall rendering. Represents flooring, used to map continuous normalized values ​​to discrete color segment indices.

[0107] In actual deployment, this method uses path segments (such as ditch segments) as the smallest unit, abstracts their direction on the map into line segments with a certain geographic coordinate length, and uses WebGL technology to construct 2.5D stereo walls on the map layer.

[0108] S2. Construct a modified multi-column Sankey diagram structure based on the light path dimension, and perform global comparison and ranking of various light path indicator evaluation values ​​and indicator structure analysis at the logical path level;

[0109] In this embodiment, a modified multi-column Sankey diagram structure suitable for the health assessment of the logical layer of the power communication network is constructed. Its main purpose is to perform global comparative sorting and indicator structure analysis of various indicator evaluation values ​​of the optical path at the logical path level.

[0110] Defining a set of logical paths for:

[0111]

[0112] in, Indicates the logical paths, Corresponding to a set of aggregate evaluation indicators :

[0113]

[0114] in, Indicates the Logical paths No. The evaluation index scores, Indicates the Logical paths The total number of evaluation indicators, in this embodiment of the present invention, =3, Indicates the Logical paths The comprehensive score of Indicates the Logical paths The common groove influence score, Indicates the Logical paths The co-cable impact score, Indicates the Logical paths The light decay affects the score.

[0115] Construct a Sankey diagram with K+1 columns, corresponding to K+1 indicator dimensions, with nodes in each column Indicates the Indicator paths, the node height is proportional to The edges between nodes represent the transfer relationship of the same path under different metric dimensions. In a Sankey diagram, edge weights are defined as constants, all edges have the same width, and the edge path color remains consistent for path identification. When a path is highlighted, its edges are automatically bolded or brightened.

[0116] Each column node Sort the corresponding indicators from high to low scores to achieve a global comparison of their impact. The Sankey diagram always flows from left to right, forming an indicator analysis path from the "comprehensive score" to each detailed indicator.

[0117] S3. Use the radial layout-based glyph visualization component CompactStripeGlyph to visualize the multidimensional index values ​​in the light path sample and perform simultaneous comparison of the multidimensional indexes of each light path;

[0118] In this embodiment, to improve the comparison efficiency of multiple optical paths in the power communication network under multiple indicator dimensions, the embodiment of the present invention introduces a radial layout-based glyph visualization component CompactStripeGlyph to support graphical encoding, rapid comparison and perception of optical paths under multiple core indicators. The glyph visualization component CompactStripeGlyph adopts a radial fan-shaped structure for layout, and its design is inspired by the traditional Chinese Bagua graphic structure. It is formally presented as a collection of centrally symmetrical and evenly distributed fan-shaped areas.

[0119] The visualization of the multi-dimensional index values ​​in the light path sample specifically includes the following steps:

[0120] Based on the light path sample n Evaluation indicators , through the glyph visualization component CompactStripeGlyph The circular display area of ​​the arc is divided into n sector-shaped sub-areas , among which, Each sector area For evaluation indicators The value of ;

[0121] The interior of each sector area is divided into Layer, each layer represents the evaluation index A division on the value interval;

[0122] Arrange the stripes of each layer in the same width along the arc length direction to obtain a perceptible band structure of stacked stripes. It is a preset global parameter used to control visual accuracy. The larger its value, the higher the granularity of visual expression.

[0123] Evaluation indicator variables The range of possible values ​​of is normalized to obtain the normalized value :

[0124]

[0125] Normalize the value Mapping to stripe filling layers :

[0126]

[0127] In the sector area Before filling Layer stripes, with unfilled portions remaining blank, are used to represent the value of the evaluation indicator variable. This design naturally supports percentage expression and has strong visual recognition.

[0128] The method for synchronously comparing the multi-dimensional indicators of each optical path is specifically as follows:

[0129] Calculating the optical path In evaluating indicator variables The normalized value on Wako Road In evaluating indicator variables The normalized value on ;

[0130] According to the normalized value and normalized values , in the same sector area Draw two sets of nested or parallel stripe sets in and ;

[0131] Check the fan filling situation to determine the light path and optical path Based on the advantages and disadvantages of multi-dimensional attributes, the multi-dimensional indicators of each optical path are compared synchronously.

[0132] In an embodiment of the present invention, CompactStripeGlyph is used for graphical encoding and comparison of the following four core evaluation indicators of power communication:

[0133]

[0134] Each indicator is compressed to [0,1] by a unified normalization method before drawing, and the fan-shaped area is filled with expression to form a complete comparable glyph unit. Users can quickly judge the light path by visually checking the fan-shaped filling situation. and optical path The advantages and disadvantages under multi-dimensional attributes.

[0135] Furthermore, this component boasts excellent scalability, supporting the simultaneous comparison of multiple light paths (k>2). Simply expanding the same set of sector-shaped regions into multiple sets of superimposed or parallel stripe images allows for compact visual mapping of multiple objects and indicators. The CompactStripeGlyph glyph visualization component compresses and expresses multiple variables within a limited graphic space, enabling efficient comparison. It supports any number of variables and light path expansions, maintaining consistency and consistent variable dimensions, facilitating cognitive analogies and visual memory.

[0136] S4. Design an interactive response mechanism to respond to user trigger operations on the three-dimensional wall structure, the improved multi-column Sankey diagram structure, or the visualization component, highlight the corresponding component and display detailed data in a pop-up window to complete the visualization of the power communication network assessment.

[0137] In this embodiment, in addition to the most basic shape composition and color coding, the embodiment of the present invention adds a series of information interaction mechanisms to the components. Specifically, when the user hovers the mouse over any three-dimensional wall component, the system triggers a response action through the event binding mechanism: an information panel (Tooltip) floats out on the layer, displaying multiple core indicator values ​​of the channel segment. When the user clicks on the three-dimensional wall, the system will dynamically load the details information panel in the right area of ​​the page to display the complete properties of the channel segment, including the number of common trench segments, the number of common cables, the use of the optical fiber cores of the current path segment, and the names of other logical paths shared with the segment, so as to help users intuitively understand the relevant information. This interactive mechanism not only improves the meticulousness of indicator perception, but also supports operation and maintenance personnel to quickly trace and deal with local weak links.

[0138] The embodiment of the present invention defines and implements a logical interaction mechanism for the component. Specifically, after the user clicks on any logical path node or streamline, the system will highlight the path in the entire map using color enhancement (such as highlighting, luminescence, etc.); through color consistency, animated indicator lines, directional markings, etc., the user is guided to trace from the "path source" on the left to each evaluation dimension; each column of nodes is arranged in descending order according to the score, and the user can intuitively see in which indicator dimensions the selected path is at the excellent, good, medium, or poor level, forming an "indicator health map."

[0139] Example 2:

[0140] On the basis of Example 1, the embodiment of the present invention takes a certain electric power communication network service in a certain city as an example to specifically demonstrate and illustrate the actual effects and application capabilities of the electric power communication network evaluation visualization method based on multi-source data fusion proposed by the present invention. Through the embodiment of the present invention, it can be fully demonstrated that the electric power communication network evaluation visualization method based on multi-source data fusion proposed by the present invention has the ability to integrate and express evaluation data in a real network environment, the multi-dimensional linkage effect of physical paths and logical topologies, and the user's rapid perception of key indicators and auxiliary decision-making support capabilities during the interaction process. The embodiment of the present invention further verifies the practicality and advancement of the present invention in actual operation and maintenance scenarios.

[0141] Taking a communication system of a city's power network as an example, first render a three-dimensional wall in the center of the map to show the overall distribution of the communication network. At the same time, activate the buttons for the current communication network in the information panel (topology map, sorting map, comparison map), such as Figure 2 and Figure 3 shown.

[0142] When the user further drags to change the Z-axis visual angle, a three-dimensional wall appears, such as Figure 4 and Figure 5 shown.

[0143] When the user hovers the mouse, the current channel overview is displayed next to the three-dimensional wall. When clicked, the information panel shows the channel details, such as Figure 6 shown.

[0144] For each communication network status button, the sorting diagram represents the improved multi-column Sankey diagram based on the optical path dimension designed by the present invention. The comparison diagram represents the glyph visualization component based on the radial layout designed by the present invention. The interface of the sorting diagram is as follows Figure 7 shown.

[0145] When the user clicks on a light path, the improved Sankey diagram will highlight the current path and only render the light path in the map. The light path quality score is provided through the floating information panel. Figure 8 shown.

[0146] The interface of the comparison chart is as follows Figure 9 As shown, the quality scores of two different optical paths can be clearly compared.

[0147] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and it should be understood that the scope of protection of the present invention is not limited to such specific descriptions and embodiments. Those skilled in the art can make various other specific variations and combinations based on the technical teachings disclosed in the present invention without departing from the essence of the present invention, and such variations and combinations are still within the scope of protection of the present invention.

Claims

1. A visualization method for power communication network evaluation based on multi-source data fusion, characterized in that: The following steps are involved: Using a 2.5D indicator-coded 3D wall visualization method, we spatially overlay the multi-source indicator data associated with the actual physical paths in the power communication network to generate a 3D wall structure. Construct an improved multi-column Sankey diagram structure based on the light path dimension, and perform global comparison and ranking of various light path indicator evaluation values ​​and indicator structure analysis at the logical path level; The radial layout-based glyph visualization component CompactStripeGlyph is used to visualize the multi-dimensional index values ​​in the light path samples and to perform synchronous comparison of the multi-dimensional indexes of each light path. Design an interactive response mechanism to respond to user triggers on the three-dimensional wall structure, the improved multi-column Sankey diagram structure, or visualization components, highlight the corresponding component and display detailed data in a pop-up window to complete the visualization of the power communication network assessment; Using the improved multi-column Sankey diagram structure based on the light path dimension, a global comparison and ranking of various light path indicator evaluation values ​​and indicator structure analysis are performed at the logical path level. The specific steps include: Constructing a set of logical paths : in, Indicates the logical paths, Corresponding to a set of aggregate evaluation indicators : in, Indicates the Logical paths No. The evaluation index scores, Indicates the Logical paths The total number of evaluation indicators; Construct a Sankey diagram with K+1 columns, corresponding to K+1 indicator dimensions, and each column node in the Sankey diagram Indicates the Indicator paths, the node height is proportional to ,The edges between nodes represent the transfer relationships of the same path under different ,metric dimensions. The edge weight in the Sankey diagram is defined as a constant constant. The edge path color remains consistent for ,path identification. When a path is highlighted, its edge is automatically bolded or brightened; Each column node Sort the corresponding indicators from high to low, and the Sankey diagram flows from left to right, forming an indicator analysis path from "comprehensive score" to each detailed indicator; The method for synchronously comparing the multi-dimensional indicators of each optical path is specifically as follows: Calculating the optical path In evaluating indicator variables The normalized value on Wako Road In evaluating indicator variables The normalized value on ; According to the normalized value and normalized values , in the same sector area Draw two sets of nested or parallel stripes in and ; Check the fan filling situation to determine the light path and optical path The advantages and disadvantages under multi-dimensional attributes are compared synchronously with the multi-dimensional indicators of each optical path.

2. The method for visualizing power communication network evaluation based on multi-source data fusion according to claim 1 is characterized in that: The 2.5D indicator-coded three-dimensional wall visualization method is used to perform spatial superposition expression on multi-source indicator data associated with actual physical paths in the power communication network to generate a three-dimensional wall structure, which specifically includes the following steps: Get the physical path set in the power communication network topology : in, Indicates the total number of physical paths, Indicates the physical paths; The first physical paths It is represented by the sequence of channel units that it passes through along the geographical path: in, Indicates the physical paths On the Channel cells, Indicates the physical paths The total number of channels passed, each channel unit There is multi-dimensional indicator information on it, and the indicator vector is constructed based on the multi-dimensional indicator information. for: in, Channel cell No. indicator data, Channel cell The total number of indicator data; The normalization function is used to normalize the indicators of different dimensions in the indicator vector. The specific formula is: in, represents the normalized channel unit No. indicator data, represents the normalized front channel unit No. The original data corresponding to the indicators The minimum value of represents the normalized front channel unit No. The original data corresponding to the indicators The maximum value of Represents the theoretical maximum value of the discrete index, represents the set of real numbers, represents the set of natural numbers; Each channel unit corresponds to a two-dimensional location point set on the map : in, Indicates the channel unit The three-dimensional wall The latitude of a point, Indicates the channel unit The three-dimensional wall The longitude of a point; Based on two-dimensional location point set Determine the geographical location of the channel, form the foundation of the three-dimensional wall, and based on the normalized channel unit No. indicator data Each channel unit Mapped into cube primitives on a two-dimensional base, the 2.5D three-dimensional wall is constructed.

3. The method for visualizing power communication network evaluation based on multi-source data fusion according to claim 2 is characterized in that: The normalized channel unit No. indicator data Each channel unit Mapped to a cube primitive on a two-dimensional basis, the specific mapping relationship is: The width of the cube primitive is consistent with the width of each physical path; The normalized channel unit No. indicator data Mapping generates cube primitive height; Cube primitive colors are derived from the indicator vector via a color mapping mechanism that combines normalization with discrete color band segmentation.

4. The method for visualizing power communication network evaluation based on multi-source data fusion according to claim 3 is characterized in that: The color mapping mechanism of deriving the cube primitive color from the indicator vector by integrating normalization processing and discrete color band segmentation specifically includes the following steps: Use ColorBrewer's perceptually balanced color spectrum set to divide the value range into n intervals: Each interval corresponds to an RGB color level, that is, a cube primitive , the normalized channel unit No. indicator data The mapping is: in, Represents the final normalized channel unit No. indicator data The color of the corresponding part of the three-dimensional wall rendering, Represents flooring, used to map continuous normalized values ​​to discrete color segment indices.

5. The method for visualizing power communication network evaluation based on multi-source data fusion according to claim 1, characterized in that: The glyph visualization component CompactStripeGlyph adopts a radial fan-shaped structure for layout, and is formally presented as a set of centrally symmetrical and evenly distributed fan-shaped areas.

6. The method for visualizing power communication network evaluation based on multi-source data fusion according to claim 5, characterized in that: The visualization of the multi-dimensional index values ​​in the light path sample specifically includes the following steps: Based on the light path sample n Evaluation indicators , through the glyph visualization component CompactStripeGlyph The circular display area of ​​the arc is divided into n sector-shaped sub-areas , among which, sector area For evaluation indicators The value of ; The interior of each sector area is divided into Layer, each layer represents the evaluation index A division on the value interval; The stripes of each layer are arranged in the same width along the arc length direction to obtain a perceptible banded structure of stacked stripes; Evaluation indicator variables The range of possible values ​​of is normalized to obtain the normalized value : Normalize the value Mapping to stripe filling layers : In the sector area Before filling The unfilled part of the layer stripes remains blank and is used to represent the value of the evaluation indicator variable.

7. The method for visualizing power communication network evaluation based on multi-source data fusion according to claim 1, characterized in that: The interactive response mechanism is specifically: When hovering over a three-dimensional wall element, a floating tooltip displays the core indicator value of the corresponding channel unit; When you click on a 3D wall element, the complete properties of the corresponding channel element will be displayed in the sidebar of the page; Click a logic path node or streamline to globally highlight the associated elements of the logic path in all indicator columns.

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