Extensible three-dimensional vector plotting graph situation deduction method

Abstract

The invention discloses an extensible three-dimensional vector plotting graph situation deduction method, and belongs to the field of situation deduction methods, and the method comprises the following steps: 1, formulating corresponding situation rules for various vector plotting graphs, including flicker, rotation, scaling, roaming and growth situation parameter setting; 2, designing and realizing vector plotting graph and situation file management, and storing vector plotting graph information and situation information; 3, editing a vector plotting graph situation; and 4, realizing vector plotting graph situation simulation. Compared with a traditional three-dimensional vector plotting graph situation deduction method, the three-dimensional vector plotting graph situation deduction method has good expansibility and flexibility, and is suitable for making various professional combined primitive animation schemes; the three-dimensional vector plotting graph situation deduction method has the advantages of being accurate in expression, high in intuition, easy to operate, capable of supporting complex scenes, capable of being applied to multiple fields and the like.

Description

Technical Field

[0001] The invention relates to the field of situation deduction methods, and in particular to an expandable three-dimensional vector plotting situation deduction method. Background Art

[0002] Aircraft, image acquisition, 3D vector mapping and situational deduction are crucial technical links in aerospace and related fields. They each have unique functions and application scenarios, and are also interrelated, jointly promoting the development of related fields. Among them, aircraft use the image sensors (such as ordinary optical image sensors, small tilt image sensors, lidar sensors, etc.) to collect images of ground or air targets. These image data can be used to build high-quality real-life 3D models, conduct terrain mapping, environmental monitoring, etc. 3D vector mapping situational deduction is an advanced method that combines geographic information systems (GIS), 3D modeling and visualization technology to simulate and deduce situation changes in specific scenarios. In the field of aerospace, this technology can be used to simulate the flight trajectory of aircraft, the execution process of missions, and the battlefield environment.

[0003] Through the three-dimensional vector plotting and mapping morphological deduction, the flight status, target location, threat factors and other information of the aircraft can be intuitively displayed, providing decision makers with accurate situational awareness and decision support. At the same time, the flight plan, mission execution strategy, etc. of the aircraft can also be optimized and adjusted according to the deduction results to improve the efficiency and safety of mission execution. However, the existing three-dimensional vector plotting and mapping morphological deduction methods have the following problems: they do not have good scalability and flexibility, and cannot be applied to the production of various professional combination graphics element animation solutions. Therefore, those skilled in the art provide an expandable three-dimensional vector plotting and mapping morphological deduction method to solve the problems raised in the above background technology. Summary of the invention

[0004] The purpose of the present invention is to provide an expandable three-dimensional vector plotting image potential deduction method, which has good scalability and flexibility and is suitable for the production of various professional combination graphic element animation solutions to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: A scalable three-dimensional vector plotting and mapping morphological trend deduction method, comprising the following steps: Step 1: Formulate corresponding situation rules for various vector plotting graphics, including parameter settings for flashing, rotation, scaling, roaming, and growth situations; Step 2: Design and implement vector plotting graphics and situation file management, and save vector plotting graphics information and situation information; Step 3: Edit the vector plotting pattern; Step 4: Realize vector plotting morphological potential simulation.

[0006] As a further solution of the present invention: in the step one, the parameters include a unique identification mark, a start time, an end time, a time interval, an array of applicable vector plotting graphics types, a rotation angle, a scaling ratio, an array of roaming path points, and an array of growth paths.

[0007] As a further solution of the present invention: in step 1, after the parameters are set, it is necessary to evaluate the rationality of the parameter settings through testing and verification, specifically: S101: Create multiple test scenarios to simulate different situational deduction processes; S102: Collect test results of each test scenario. If the test results are reasonable, plan the test results to the first sequence; if the test results are unreasonable, plan the test results to the second sequence; S103: Count the number of test results in the first sequence and mark them as A, and count the number of test results in the second sequence and mark them as B; S104: Calculate the unreasonable threshold value S=B / (A+B) of this test; S105: Compare S with a preset value s. If S>s, it means that the parameter setting is unreasonable and the set parameters need to be adjusted. If S≤s, it means that the parameter setting is reasonable.

[0008] As a further solution of the present invention: in the step 2, the vector plotting graphic information includes the vector plotting graphic id, type, style, control point array and attributes, and the situation information includes the vector plotting graphic id and the corresponding situation parameter settings.

[0009] As a further solution of the present invention: in step 3, the specific process of editing the vector plotting shape is: S301: Acquire a vector plotting graphic object, and acquire the vector plotting graphic object and its core information through mouse interaction, wherein the core information includes control points, style, and attributes; S302: Selecting a posture type, selecting an applicable posture type according to the type of the vector plotting graph, the posture types including flickering, rotation, scaling, roaming and growth; S303: modifying situation parameters, modifying parameters of relevant situations in the situation parameter panel to meet the deduction requirements; S304: Setting a roaming or growth path. For roaming and growth situations, corresponding path information needs to be obtained through mouse interaction.

[0010] As a further solution of the present invention: in the step S302, if multiple types of situations are selected, the deduction process can be selected to proceed simultaneously or sequentially in chronological order, wherein synchronously means that multiple situations will start and proceed at the same time, and sequentially in chronological order means that multiple situations will proceed sequentially in a preset time order.

[0011] As a further solution of the present invention: in step 4, the specific process of realizing the potential simulation of the vector plotting diagram is as follows: S401: Reading a situation file, that is, reading a situation file through a situation management class, obtaining all situation information in the situation file, and sorting the obtained situation information sequence according to the start time; S402: Setting the clock, i.e. designing and implementing a clock class or directly using a third-party clock class, setting the start and end time and the clock rate, and obtaining the current time and triggering a tick event; the clock class or the third-party clock class is used to control the time progress of the situation deduction; S403: Calculate the start and end time and clock rate of the situation sequence, that is, calculate the clock rate of each situation according to the start and end time and interval time of the situation sequence, and set the clock rate of the clock; S404: starting the clock and triggering a tick event, that is, starting the clock, triggering a tick event, and determining all executable situations in the situation sequence according to the current time; S405: Calculate the current state of each situation, that is, linearly calculate the state of each situation according to the current time and the start and end time, including shape and position parameter information; for roaming situations, after obtaining the path reference points, recalculate the control point sequence according to the principle that the length of the control point sequence remains unchanged; for growth situations, calculate the control point sequence and update the vector plotting graphics; S406: updating and drawing the vector plotting graph, that is, recalculating or updating the geometry of the vector plotting graph according to the calculated vector plotting graph parameters, and drawing the vector plotting graph to realize situation deduction.

[0012] As a further solution of the present invention: in the process of drawing the vector plotting graphics to realize the situation deduction, the drawn vector plotting graphics are detected, specifically: Check whether the graphic elements are complete, count the number of missing elements and mark them as X1, if the graphic elements are complete, output X1=0, where the graphic elements include lines, arrows, symbols and text annotations; Check whether the layer information is complete, count the number of layers that are not loaded correctly and mark them as X2. If the layer information is complete, output X2=0; The matching degree of the graphic parameters is tested. According to the calculated vector plotting graphic parameters, whether the actually drawn graphic matches the parameters is checked. The number of mismatched parameters is counted and marked as Y1. If they are completely matched, Y1=0 is output. The parameters include the length, width and color of the line, and the size, shape and direction of the symbol. Check the accuracy of the graphic position to see if the graphic element is accurately positioned in the map or coordinate system. If it is not accurate, count the distance between the two positions and mark it as Y2. If the position is accurate, output Y2=0. If any one of X1, X2, Y1 and Y2 is greater than zero, it means that the currently drawn vector plotting graph is unqualified and proceeds to the next step; otherwise, it means that the currently drawn vector plotting graph is qualified and the detection ends; Generate a radar chart Z based on X1, X2, Y1 and Y2, calculate the area of ​​the radar chart Z and mark it as P; P is compared with a preset area p, and the abnormality level of the drawn vector plotting graph is output according to the comparison result.

[0013] As a further solution of the present invention: the specific process of outputting the abnormal level of the vector plotted graphics drawn according to the comparison result is: If P < p, the abnormal level of the vector plotted graph drawn by the output is level one; If p≤P<2p, the abnormal level of the vector plotting graph drawn by the output is level 2; If 2p≤P, the abnormality level of the vector plotting graph drawn by the output is level three.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. Compared with the traditional three-dimensional vector graphics morphological potential deduction method, the present application has good scalability and flexibility, and is suitable for the production of various professional combination graphic element animation solutions. In addition, the three-dimensional vector graphics morphological potential deduction method of the present application has the advantages of accurate expression, strong intuitiveness, easy operation, support for complex scenes, and applicability to multiple fields.

[0015] 2. In the process of scalable three-dimensional vector plotting and mapping morphological deduction, the rationality of parameter setting is crucial. If the parameter setting is unreasonable, it may bring a series of serious consequences. This application analyzes and judges the rationality of the parameters after setting them, and promptly discovers and adjusts the unreasonable parameters to effectively reduce risks.

[0016] 3. In the process of 3D vector plotting and mapping pattern deduction, this application detects the drawn vector plotting graphics to promptly detect whether there are any abnormalities, and after the abnormality is found, the current level of the abnormality is determined through radar chart comparison and analysis, so as to facilitate the staff to understand the importance of the matter. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 The figure is a flow chart of a scalable three-dimensional vector plotting and mapping morphological deduction method. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] As mentioned in the background technology of this application, it has been found through research that the existing three-dimensional vector graphics potential deduction method does not have good scalability and flexibility, cannot be applied to the production of various professional combination graphics element animation solutions, and has certain defects.

[0020] In order to solve the above-mentioned defects, the present application discloses an extensible three-dimensional vector plotting shape potential deduction method, which has good extensibility and flexibility and is suitable for the production of various professional combination graphic element animation solutions.

[0021] The following will describe in detail how the solution of the present application solves the above technical problems in conjunction with the accompanying drawings.

[0022] See also Figure 1 In an embodiment of the present invention, an expandable three-dimensional vector mapping morphological potential deduction method includes the following steps: Step 1: Formulate corresponding situation rules for various types of vector mapping graphics, including parameter settings for flickering, rotation, scaling, roaming, and growth situations; Step 2: Design and implement vector mapping graphics and situation file management, and save vector mapping graphics information and situation information; Step 3: Edit the vector mapping graphics morphological potential; Step 4: Implement vector mapping graphics morphological potential simulation. Compared with traditional three-dimensional vector mapping graphics morphological potential deduction methods, this application has good scalability and flexibility, and is suitable for the production of various professional combination graphics animation solutions. In addition, the three-dimensional vector mapping graphics morphological potential deduction method of this application has the advantages of accurate expression, strong intuitiveness, easy operation, support for complex scenes, and applicability to multiple fields.

[0023] In this embodiment, in step 1, the parameters include a unique identification identifier, a start time, an end time, a time interval, an array of applicable vector plotting graphic types, a rotation angle, a scaling ratio, an array of roaming path points, and an array of growth paths. A unique identification identifier refers to an identifier that can uniquely identify an object or entity within a certain range. This identifier is usually used to ensure the accuracy, integrity, and traceability of data. An array of applicable vector plotting graphic types is an array that contains a series of graphic types applicable to vector plotting. An array of roaming path points is an array that contains a series of points on a roaming path. A growth path array is an array that contains a series of points or steps that describe a growth path.

[0024] In this embodiment, in step 1, after the parameters are set, the rationality of the parameter settings needs to be evaluated through testing and verification, specifically: S101: create multiple test scenarios to simulate different situation deduction processes; S102: collect the test results of each test scenario, if the test results are reasonable, the test results are planned to the first sequence, if the test results are unreasonable, the test results are planned to the second sequence; S103: count the number of test results in the first sequence and mark them as A, count the number of test results in the second sequence and mark them as B; S104: calculate the unreasonable threshold S=B / (A+B) of this test; S105: compare S with the preset value s, if S>s, it means that the parameter setting is unreasonable and the set parameters need to be adjusted, if S≤s, it means that the parameter setting is reasonable. In the process of scalable three-dimensional vector plotting and mapping situation deduction, the rationality of parameter setting is very important. If the parameter setting is unreasonable, it may bring a series of serious consequences. The present application analyzes and judges the rationality of the parameters after setting them, and timely discovers and adjusts the parameters when they are unreasonable, effectively reducing the risk.

[0025] In this embodiment, in step 2, the vector plotting graphic information includes the vector plotting graphic id, type, style, control point array and attributes, and the situation information includes the vector plotting graphic id and the corresponding situation parameter settings. The vector plotting graphic id is a unique identifier of the vector plotting graphic, which is used to uniquely identify a graphic in the system. Type refers to the type of the vector plotting graphic, such as line, polygon and circle. Style refers to the style information of the vector plotting graphic, including color, line type and fill. The control point array is a set of points used to define the shape and position of the vector plotting graphic. Attributes refer to additional information of the vector plotting graphic, such as name, description and level.

[0026] In this embodiment, in step three, the specific process of editing the vector mapping graphic situation is as follows: S301: obtain the vector mapping graphic object, and obtain the vector mapping graphic object and its core information through mouse interaction. The core information includes control points, style and attributes; S302: select the situation type, and select the applicable situation type according to the vector mapping graphic type. The situation types include flashing, rotation, scaling, roaming and growth; S303: modify the situation parameters, and modify the parameters of the relevant situation in the situation parameter panel to meet the deduction requirements; S304: set the roaming or growth path. For roaming and growth situations, it is also necessary to obtain the corresponding path information through mouse interaction.

[0027] In this embodiment, in step S302, if there are multiple types of situations selected, the deduction process can be selected to be performed synchronously or sequentially in chronological order, wherein synchronously means that multiple situations will start and proceed at the same time, and sequentially in chronological order means that multiple situations will proceed sequentially in a preset time sequence. Synchronous and sequentially in chronological order are two commonly used situation deduction methods. When selecting, it is necessary to comprehensively consider the specific situation type, deduction objectives and resource constraints to ensure the accuracy and efficiency of the deduction process.

[0028] In this embodiment, in step 4, the specific process of realizing the vector plotting map morphological situation simulation is as follows: S401: reading the situation file, that is, reading a situation file through the situation management class, obtaining all the situation information in the situation file, and sorting the obtained situation information sequence according to the start time; S402: setting the clock, that is, designing and implementing the clock class or directly using the third-party clock class, setting the start and end time and the clock rate, and obtaining the current time and triggering the tick event; the clock class or the third-party clock class is used to control the time progress of the situation deduction; S403: calculating the start and end time and clock rate of the situation sequence, that is, calculating the clock rate of each situation according to the start and end time and interval time of the situation sequence, and setting the clock rate of the clock; S 404: Start the clock and trigger the tick event, that is, start the clock, trigger the tick event, and judge all executable situations in the situation sequence according to the current time; S405: Calculate the current state of each situation, that is, linearly calculate the state of each situation according to the current time and the start and end time, including parameter information such as shape and position; for roaming situations, after obtaining the path reference point, recalculate the control point sequence according to the principle that the length of the control point sequence remains unchanged; for growth situations, calculate the control point sequence and update the vector plotting graphics; S406: Update and draw the vector plotting graphics, that is, recalculate or update the vector plotting graphics geometry according to the calculated vector plotting graphics parameters, and draw the vector plotting graphics to realize situation deduction. "Tick" is usually used to represent a time mark or time interval. In computer science and programming, it is usually used in timers or real-time systems to track the passage of time or record time intervals. Every time a Tick passes, it means that a certain length of time has passed. This length of time may be very short, such as a few milliseconds or microseconds. Therefore, Tick can be used as an indicator to measure the frequency of event occurrence or the speed of system operation.

[0029] In this embodiment, in the process of drawing vector plotting graphics to realize situation deduction, the drawn vector plotting graphics are checked, specifically: whether the graphic elements are complete, the number of missing elements is counted and marked as X1, if the graphic elements are complete, X1=0 is output, wherein the graphic elements include lines, arrows, symbols and text annotations; whether the layer information is complete, the number of layers that are not correctly loaded is counted and marked as X2, if the layer information is complete, X2=0 is output; the matching degree of the graphic parameters is checked, according to the calculated vector plotting graphics parameters, whether the actually drawn graphics match the parameters, the number of unmatched parameters is counted and marked as Y1, if they are completely matched, Y1=0 is output, wherein the parameters are The numbers include the length, width and color of the lines, the size, shape and direction of the symbols; the accuracy of the graphic position is detected to check whether the position of the graphic elements in the map or coordinate system is accurate. If not, the distance between the two positions is counted and marked as Y2. If the position is accurate, Y2=0 is output; if any one of X1, X2, Y1 and Y2 is greater than zero, it means that the currently drawn vector plotting graphics is unqualified and enters the next step, otherwise it means that the currently drawn vector plotting graphics is qualified and the detection ends; based on X1, X2, Y1 and Y2, a radar chart Z is generated, and the area of ​​the radar chart Z is calculated and marked as P; P is compared with the preset area p, and the abnormality level of the drawn vector plotting graphics is output according to the comparison result. In the process of three-dimensional vector plotting graphics morphological deduction, this application detects the drawn vector plotting graphics, promptly finds out whether there are abnormalities, and after finding the abnormalities, judges the current abnormality level through radar chart comparison and analysis, so as to facilitate the staff to understand the importance of things.

[0030] In this embodiment, the specific process of outputting the abnormality level of the drawn vector plotting graphics according to the comparison result is: if P < p, the abnormality level of the drawn vector plotting graphics is output as level 1; if p ≤ P < 2p, the abnormality level of the drawn vector plotting graphics is output as level 2; if 2p ≤ P, the abnormality level of the drawn vector plotting graphics is output as level 3. This setting can help the staff quickly understand the degree of abnormality.

[0031] Compared with the traditional three-dimensional vector plotting morphological potential deduction method, the present invention has good scalability and flexibility, and is suitable for the production of various professional combination graphics element animation solutions. In addition, the three-dimensional vector plotting morphological potential deduction method of the present application has the advantages of accurate expression, strong intuitiveness, easy operation, support for complex scenes, and applicability to multiple fields. In the process of scalable three-dimensional vector plotting morphological potential deduction, the rationality of parameter setting is crucial. If the parameter setting is unreasonable, it may bring a series of serious consequences. The present application analyzes and judges the rationality of the parameters after setting them, and promptly discovers and adjusts the parameters when they are unreasonable, effectively reducing the risk. In the process of three-dimensional vector plotting morphological potential deduction, the present application detects the drawn vector plotting graphics, promptly discovers whether there are abnormalities, and after discovering the abnormalities, judges the current abnormality level through radar chart comparison and analysis, thereby facilitating the staff to understand the importance of things.

[0032] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

[0033] What is described above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A scalable three-dimensional vector plotting method for morphological deduction, characterized in that: The following steps are involved: Step 1: Formulate corresponding situation rules for various vector plotting graphics, including parameter settings for flashing, rotation, scaling, roaming, and growth situations; Step 2: Design and implement vector plotting graphics and situation file management, and save vector plotting graphics information and situation information; Step 3: Edit the vector plotting pattern; Step 4: Realize vector plotting morphological potential simulation.

2. The scalable three-dimensional vector plotting method according to claim 1, characterized in that: In the step 1, the parameters include a unique identification mark, a start time, an end time, a time interval, an array of applicable vector plotting graphics types, a rotation angle, a scaling ratio, an array of roaming path points, and an array of growth paths.

3. The scalable three-dimensional vector plotting and mapping method according to claim 2, characterized in that: In step 1, after the parameters are set, testing and verification are required to evaluate the rationality of the parameter settings, specifically: S101: Create multiple test scenarios to simulate different situational deduction processes; S102: Collect test results of each test scenario. If the test results are reasonable, plan the test results to the first sequence; if the test results are unreasonable, plan the test results to the second sequence; S103: Count the number of test results in the first sequence and mark them as A, and count the number of test results in the second sequence and mark them as B; S104: Calculate the unreasonable threshold value S=B / (A+B) of this test; S105: Compare S with a preset value s. If S>s, it means that the parameter setting is unreasonable and the set parameters need to be adjusted. If S≤s, it means that the parameter setting is reasonable.

4. The scalable three-dimensional vector plotting and mapping method according to claim 3, characterized in that: In the step 2, the vector plotting graphic information includes the vector plotting graphic id, type, style, control point array and attributes, and the situation information includes the vector plotting graphic id and the corresponding situation parameter settings.

5. The scalable three-dimensional vector plotting and mapping morphological deduction method according to claim 4, characterized in that: In step 3, the specific process of editing the vector plotting shape is as follows: S301: Acquire a vector plotting graphic object, and acquire the vector plotting graphic object and its core information through mouse interaction, wherein the core information includes control points, style, and attributes; S302: Selecting a posture type, selecting an applicable posture type according to the type of the vector plotting graph, the posture types including flickering, rotation, scaling, roaming and growth; S303: modifying situation parameters, modifying parameters of relevant situations in the situation parameter panel to meet the deduction requirements; S304: Setting a roaming or growth path. For roaming and growth situations, corresponding path information needs to be obtained through mouse interaction.

6. The scalable three-dimensional vector plotting and mapping morphological deduction method according to claim 5, characterized in that: In step S302, if multiple types of situations are selected, the deduction process can be carried out simultaneously or in chronological order. Synchronous means that multiple situations will start and proceed at the same time, and proceeding in chronological order means that multiple situations will proceed in a preset time order.

7. The scalable three-dimensional vector plotting and mapping morphological trend deduction method according to claim 6, characterized in that: In step 4, the specific process of realizing the potential simulation of vector plotting is as follows: S401: Reading a situation file, that is, reading a situation file through a situation management class, obtaining all situation information in the situation file, and sorting the obtained situation information sequence according to the start time; S402: Setting the clock, i.e. designing and implementing a clock class or directly using a third-party clock class, setting the start and end time and the clock rate, and obtaining the current time and triggering a tick event; the clock class or the third-party clock class is used to control the time progress of the situation deduction; S403: Calculate the start and end time and clock rate of the situation sequence, that is, calculate the clock rate of each situation according to the start and end time and interval time of the situation sequence, and set the clock rate of the clock; S404: starting the clock and triggering a tick event, that is, starting the clock, triggering a tick event, and determining all executable situations in the situation sequence according to the current time; S405: Calculate the current state of each situation, that is, linearly calculate the state of each situation according to the current time and the start and end time, including shape and position parameter information; for roaming situations, after obtaining the path reference points, recalculate the control point sequence according to the principle that the length of the control point sequence remains unchanged; for growth situations, calculate the control point sequence and update the vector plotting graphics; S406: updating and drawing the vector plotting graph, that is, recalculating or updating the geometry of the vector plotting graph according to the calculated vector plotting graph parameters, and drawing the vector plotting graph to realize situation deduction.

8. The scalable three-dimensional vector plotting and mapping morphological trend deduction method according to claim 7, characterized in that: In the process of drawing vector plotting graphics to realize situation deduction, the drawn vector plotting graphics are detected, specifically: Check whether the graphic elements are complete, count the number of missing elements and mark them as X1, if the graphic elements are complete, output X1=0, where the graphic elements include lines, arrows, symbols and text annotations; Check whether the layer information is complete, count the number of layers that are not loaded correctly and mark them as X2. If the layer information is complete, output X2=0; The matching degree of the graphic parameters is tested. According to the calculated vector plotting graphic parameters, whether the actually drawn graphic matches the parameters is checked. The number of mismatched parameters is counted and marked as Y1. If they are completely matched, Y1=0 is output. The parameters include the length, width and color of the line, and the size, shape and direction of the symbol. Check the accuracy of the graphic position to see if the graphic element is accurately positioned in the map or coordinate system. If it is not accurate, count the distance between the two positions and mark it as Y2. If the position is accurate, output Y2=0. If any one of X1, X2, Y1 and Y2 is greater than zero, it means that the currently drawn vector plotting graph is unqualified and proceeds to the next step; otherwise, it means that the currently drawn vector plotting graph is qualified and the detection ends; Generate a radar chart Z based on X1, X2, Y1 and Y2, calculate the area of ​​the radar chart Z and mark it as P; P is compared with a preset area p, and the abnormality level of the drawn vector plotting graph is output according to the comparison result.

9. The scalable three-dimensional vector plotting and mapping morphological deduction method according to claim 8, characterized in that: The specific process of outputting the abnormal level of the vector plotting graph drawn according to the comparison result is as follows: If P < p, the abnormal level of the vector plotted graph drawn by the output is level one; If p≤P<2p, the abnormal level of the vector plotting graph drawn by the output is level 2; If 2p≤P, the abnormality level of the vector plotting graph drawn by the output is level three.

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