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CN111951163B - Visual conversion system and method for real-time data image - Google Patents

Visual conversion system and method for real-time data image Download PDF

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Publication number
CN111951163B
CN111951163B CN202010794465.4A CN202010794465A CN111951163B CN 111951163 B CN111951163 B CN 111951163B CN 202010794465 A CN202010794465 A CN 202010794465A CN 111951163 B CN111951163 B CN 111951163B
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model
unit
model data
module
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CN111951163A (en
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周安斌
汤祯科
宋健健
尚绪峰
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Shandong Jindong Digital Creative Co ltd
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Shandong Jindong Digital Creative Co ltd
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformations in the plane of the image
    • G06T3/40Scaling of whole images or parts thereof, e.g. expanding or contracting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration

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  • Engineering & Computer Science (AREA)
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Abstract

The invention provides a visual conversion system and a visual conversion method of a real-time data image, which belong to the technical field of data conversion, wherein the visual conversion system of the real-time data image comprises a data acquisition module, a model calculation module, a model data correction module, a graph conversion module and a display module; synchronously presenting the data according to two dimensions of time and space, and comprehensively controlling the change situation of the data; real-time monitoring, historical playback and simulation deduction of space data are supported, rules are clearly visible, and decisions can be more dependable and efficient; various chart presentation modes are provided, and besides a plane chart, chart superposition based on a three-dimensional space scene is supported.

Description

Visual conversion system and method for real-time data image
Technical Field
The invention belongs to the technical field of real-time data image conversion, and particularly relates to a visual conversion system and method for a real-time data image.
Background
Visualization is a theory, method and technology for converting data into graphics or images to be displayed on a screen by using computer graphics and image processing technology, and performing interactive processing. The method relates to a plurality of fields of computer graphics, image processing, computer vision, computer aided design and the like, and becomes a comprehensive technology for researching a series of problems of data representation, data processing, decision analysis and the like. Visualization technology was first applied to computer science, and forms an important branch of visualization technology—scientific computational visualization. Scientific computing visualization enables scientific data, including numerical values obtained by measurement, images, or digital information involved in computation, generated, to be visually represented by graphical image information, physical phenomena or physical quantities that vary over time and space, to be presented to researchers, enabling them to observe, simulate, and compute. However, in the prior art, the visualized data has the conditions of long manufacturing period, low manufacturing efficiency, incomplete chart presentation and greatly increased manufacturing cost, so that the visualized conversion system and method for the real-time data image are obtained.
Disclosure of Invention
The embodiment of the invention provides a visual conversion system and method for real-time data images, which aim to solve the problems of long manufacturing period, low manufacturing efficiency and incomplete chart presentation in the prior art.
In view of the above problems, the technical scheme provided by the invention is as follows:
a visual conversion system of real-time data images comprises a data acquisition module, a model calculation module, a model data correction module, a graph conversion module and a display module;
the data acquisition module is used for acquiring data of a required scene target, filtering the acquired data to generate a model, and transmitting the model to the model calculation unit;
the model calculation module is used for receiving model data of the data acquisition module, judging the resolution and the proportion of the model data, calculating the resolution and the proportion of the model data, scaling the model data and transmitting the model data to the model data correction module;
the model data correction module is used for receiving the model data subjected to resolution and scaling by the model calculation module, comparing and correcting the model data subjected to resolution and scaling according to the definition data of the system, and transmitting the model data subjected to resolution and scaling to the graphic conversion module;
the graphic conversion module is used for receiving the model data corrected by the model data correction module, integrating the corrected model data to generate graphic data, generating preview chart data for the graphic data, and exporting the preview chart data to the display module.
And the display module is used for receiving the preview chart data of the graphic conversion module and displaying the preview chart data.
As a preferred technical scheme of the invention, the data acquisition module comprises a scene acquisition unit, a data filtering unit and a model generation unit, wherein the scene acquisition unit is used for acquiring required target scene data and transmitting the target scene data to the data filtering unit, the data filtering unit is used for receiving the target scene data acquired by the scene acquisition unit, filtering out valuable target scene data according to analysis target scene data and calculation rules, removing invalid parts and transmitting the valuable target scene data to the model generation unit, and the model generation unit is used for receiving the target scene data filtered by the data filtering unit, processing the filtered target scene data to generate corresponding model data and transmitting the model data to the model calculation module.
As a preferred technical scheme of the present invention, the model calculation module includes a data judgment unit, a model calculation unit and a scale calculation unit, where the data judgment unit is configured to receive the model data generated by the model generation unit, perform judgment analysis on the model data and definition data of the system, determine how large resolution and size scaling are performed on the model data, transmit the model data after the judgment to the model calculation unit, the model calculation unit is configured to receive the model data after the judgment by the data judgment unit, perform resolution scaling processing on the model data according to the corresponding judgment, and transmit the model data after the resolution scaling of the model calculation unit to the scale calculation unit, and the scale calculation unit is configured to receive the model data after the size scaling processing on the model data according to the corresponding judgment, and transmit the model data to the model data correction module.
As a preferred technical scheme of the present invention, the model data correction module includes a model data comparison unit and a model data modification unit, where the data comparison unit is configured to receive the scaled model data of the size ratio by the ratio calculation unit, compare the model data with the definition data again, and transmit the result to the model data modification unit, and the model data modification unit is configured to receive the model data compared by the model data comparison unit, correct the result according to the compared model data and the definition data, and transmit the result to the graphics conversion module.
As a preferred technical scheme of the present invention, the graphic conversion module includes a data integration unit, a graphic data generating unit, a graphic data previewing unit and a graphic data deriving unit, where the data integration unit is configured to receive the model data corrected by the model data correction unit, and transmit the corrected model data to the graphic data generating unit after integration processing, the graphic data generating unit is configured to receive the model data integrated by the data integration unit, process the integrated model data to transmit the integrated model data to the graphic data generating unit, the graphic data generating unit is configured to receive the graphic data generated by the graphic data generating unit, process the generated graphic data to generate preview chart data and transmit the preview chart data to the graphic data deriving unit, and the graphic data deriving unit is configured to receive the preview chart data generated by the graphic data previewing unit, process the preview chart data and transmit the preview chart data to the display module.
In a second aspect, an embodiment of the present invention provides a method for a visual transformation system based on a real-time data image, including the steps of:
s1, scene acquisition and model generation, wherein a scene acquisition unit acquires required target scene data and transmits the target scene data to a data filtering unit, the data filtering unit receives the target scene data acquired by the scene acquisition unit, filters out valuable target scene data according to analysis target scene data and calculation rules, eliminates invalid parts and transmits the invalid parts to a model generation unit, and the model generation unit receives the target scene data filtered by the data filtering unit, processes the filtered target scene data to generate corresponding model data and transmits the model data to a data judging unit;
s2, model data resolution and scale scaling, wherein a data judging unit receives model data generated by a model generating unit, judges and analyzes the model data and definition data of a system, judges whether the resolution and the scale scaling are carried out on the model data, transmits the judged model data to a model calculating unit, receives the model data judged by the data judging unit, carries out resolution scaling processing on the model data according to corresponding judgment, and transmits the model data to a scale calculating unit, and the scale calculating unit receives the model data of which the resolution is scaled by the model calculating unit, and transmits the model data to a model data comparing unit after carrying out scale scaling processing on the model data according to corresponding judgment;
s3, model data correction, namely, a data comparison unit receives the model data with scaled size by the scale calculation unit, compares the model data with definition data again and transmits the model data to a model data modification unit, and the model data modification unit is used for receiving the model data compared by the model data comparison unit, correcting the model data and the definition data according to the compared model data and transmitting the corrected model data to a data integration unit;
s4, generating graphic data, wherein a data integration unit receives the corrected model data of the model data modification unit, integrates the corrected model data and transmits the integrated model data to a graphic data generation unit, the graphic data generation unit receives the integrated model data of the data integration unit, processes the integrated model data to generate graphic data and transmits the graphic data to the graphic data generation unit, the graphic data generation unit receives the graphic data generated by the graphic data generation unit, processes the generated graphic data to generate preview chart data and transmits the preview chart data to a graphic data export unit, and the graphic data export unit receives the preview chart data generated by the graphic data preview unit, processes the preview chart data and transmits the preview chart data to a display module;
and S5, displaying a chart picture, wherein the display module receives the preview chart data of the shape data export unit and displays the preview chart data on the picture.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
(1) The invention utilizes two-dimensional and three-dimensional views to combine virtual reality technology to completely and freshly present city panorama including city blocks, landmark points, buildings, maneuvering targets, pipeline facilities and the like.
(2) The method and the system synchronously present the data according to two dimensions of time and space, and comprehensively control the change situation of the data; real-time monitoring, historical playback and simulation deduction of space data are supported, rules are clearly visible, and decisions can be more dependent and efficient.
(3) The invention provides various chart presentation modes, besides a plane chart, the invention also supports chart superposition based on a three-dimensional space scene.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
Drawings
FIG. 1 is a schematic diagram of a system for visual conversion of real-time data images according to the present disclosure;
fig. 2 is a flow chart of a method of a real-time data image visualization transformation system as disclosed in the present invention.
Reference numerals illustrate: 100-data acquisition unit, 110-scene acquisition unit, 120-data filtering unit, 130-model generation unit, 200-model calculation module, 210-data judgment unit, 220-model calculation unit, 230-proportion calculation unit, 300-model data correction module, 310-model data comparison unit, 320-model data modification unit, 400-graph conversion module, 410-data integration unit, 420-graph data generation unit, 430-graph data preview unit, 440-graph data derivation unit, and 500-display module.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, based on the embodiments of the invention, which are apparent to those of ordinary skill in the art without inventive faculty, are intended to be within the scope of the invention.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, based on the embodiments of the invention, which are apparent to those of ordinary skill in the art without inventive faculty, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
Example 1
Referring to fig. 1, the invention provides a technical scheme that: a visual conversion system of real-time data images comprises a data acquisition module 100, a model calculation module 200, a model data correction module 300, a graph conversion module 400 and a display module 500;
the data acquisition module 100, wherein the data acquisition module 100 is configured to acquire data of a required scene target, filter the acquired data to generate a model, and transmit the model to the model calculation unit 220;
the model calculation module 200 is configured to receive model data of the data acquisition module 100, determine resolution and scale conditions of the model data, calculate and scale the resolution and scale of the model data, and transmit the calculated and scaled model data to the model data correction module 300;
the model data correction module 300 is configured to receive the model data after resolution and scaling performed by the model calculation module 200, compare and correct the model data after resolution and scaling according to the definition data of the system, and transmit the model data to the graphic conversion module 400;
the graphics conversion module 400 is configured to receive the model data corrected by the model data correction module 300, integrate the corrected model data to generate graphics data, generate preview graph data for the graphics data, and export the preview graph data to the display module 500.
The display module 500 is configured to receive the preview graph data of the graphics conversion module 400, and display the preview graph data.
Further, the data acquisition module 100 includes a scene acquisition unit 110, a data filtering unit 120, and a model generating unit 130, where the scene acquisition unit 110 is configured to acquire required target scene data, and transmit the target scene data to the data filtering unit 120, the data filtering unit 120 is configured to receive the target scene data acquired by the scene acquisition unit 110, filter the valuable target scene data according to analysis target scene data and a calculation rule, reject an invalid portion, and transmit the invalid portion to the model generating unit 130, and the model generating unit 130 is configured to receive the target scene data filtered by the data filtering unit 120, process the filtered target scene data to generate corresponding model data, and transmit the model data to the model calculating module 200.
Specifically, the scene acquisition unit 110 acquires target scene data required by the region, the target scene data is sent to the data filtering unit 120, the data filtering unit 120 receives the target scene data from the scene acquisition unit 110, filters out valuable target scene data according to analysis target scene data and calculation rules, eliminates invalid data and sends the invalid data to the model generating unit 130, the model generating unit 130 creates a digital model for the target scene data by using bim+gsi, further, the digital model may be a two-dimensional model or a three-dimensional model, and the model generating unit 130 sends the digital model to the data judging unit 210.
Further, the model calculation module 200 includes a data determination unit 210, a model calculation unit 220, and a scale calculation unit 230, where the data determination unit 210 is configured to receive the model data generated by the model generation unit 130, perform determination analysis on the model data and definition data of the system, determine how large resolution and size scaling are performed on the model data, transmit the determined model data to the model calculation unit 220, the model calculation unit 220 is configured to receive the model data determined by the data determination unit 210, perform resolution scaling processing on the model data according to the corresponding determination, and transmit the model data to the scale calculation unit 230, and the scale calculation unit 230 is configured to receive the model data scaled by the model calculation unit 220, perform size scaling processing on the model data according to the corresponding determination, and transmit the scaled model data to the model data correction module 300.
Specifically, the data judging unit 210 receives the digital model created from the model generating unit 130, compares the digital model with the system definition model data, obtains corresponding resolution and scale size data, and transmits the data to the model calculating unit 220, performs resolution scaling processing on the digital model according to the obtained resolution data by the model calculating unit 220, and transmits the data to the scale calculating unit 230, and the scale calculating unit 230 receives the digital model subjected to resolution scaling processing from the model calculating unit 220, performs scale size scaling on the digital model according to the compared scale size data, and transmits the scale size scaled digital model to the data comparing unit.
Further, the model data correction module 300 includes a model data comparing unit 310 and a model data modifying unit 320, where the data comparing unit is configured to receive the scaled model data of the size ratio of the ratio calculating unit 230, compare the model data with the definition data again, and transmit the result to the model data modifying unit 320, and the model data modifying unit 320 is configured to receive the model data compared by the model data comparing unit 310, and perform correction processing according to the compared model data and definition data, and transmit the result to the graphic conversion module 400.
Specifically, the data comparing unit receives the digital model from the proportion calculating unit 230, compares the processed digital model with the definition data of the system again to obtain the preprocessing data, and transmits the digital model and the preprocessing data to the model data modifying unit 320, and the model data modifying unit 320 receives the digital model and the preprocessing data from the data comparing unit, performs data correction on the digital model according to the preprocessing data, and transmits the data corrected to the data integrating unit 410.
Further, the graphics conversion module 400 includes a data integrating unit 410, a graphics data generating unit 420, a graphics data previewing unit 430, and a graphics data deriving unit 440, where the data integrating unit 410 is configured to receive the model data corrected by the model data modifying unit 320, integrate the corrected model data and transmit the integrated model data to the graphics data generating unit 420, the graphics data generating unit 420 is configured to receive the model data integrated by the data integrating unit 410, process the integrated model data to transmit the integrated model data to the graphics data generating unit 420, the graphics data generating unit 420 is configured to receive the graphics data generated by the graphics data generating unit 420, process the generated graphics data to generate preview chart data and transmit the preview chart data generated by the graphics data previewing unit 430 to the graphics data deriving unit 440, and the graphics data deriving unit 440 is configured to receive the preview chart data generated by the graphics data previewing unit 430, process the preview chart data and transmit the preview chart data to the display module 500.
Specifically, the data integrating unit 410 receives the digital model corrected by the model data modifying unit 320, according to the content and the data correlation, through the structured interface layout and the color collocation with emphasis, the data is effectively integrated and processed and then sent to the graphic data generating unit 420, the graphic data generating unit 420 receives the integrated data from the data unit and sends the integrated data to the graphic data previewing unit 430, the graphic data previewing unit 430 receives the image data from the graphic data generating unit 420, selects the graphic or multidimensional display type capable of being more emphasized according to the content to be displayed, generates the graphic preview files such as the scatter diagram, the line diagram, the histogram, the pie diagram, the radar diagram, the K diagram, the thermodynamic diagram, the box diagram, the relationship diagram and Sang Jitu required by the user, sends the graphic preview files to the graphic data exporting unit 440, and the graphic data exporting unit 440 receives the graphic preview files from the graphic data previewing unit 430 and sends the graphic preview files to the display module 500 for display after processing.
Example two
The embodiment of the invention also discloses a method of the visual conversion system of the real-time data image, which is shown by referring to the figure 2 and comprises the following steps:
s1, scene acquisition and model generation, wherein a scene acquisition unit 110 acquires required target scene data and transmits the target scene data to a data filtering unit 120, the data filtering unit 120 receives the target scene data acquired by the scene acquisition unit 110, filters valuable target scene data according to analysis target scene data and calculation rules, eliminates invalid parts and transmits the invalid parts to a model generating unit 130, the model generating unit 130 receives the target scene data filtered by the data filtering unit 120, processes the filtered target scene data to generate corresponding model data, and transmits the model data to a data judging unit 210;
specifically, the scene acquisition unit 110 acquires target scene data required by the region, the target scene data is sent to the data filtering unit 120, the data filtering unit 120 receives the target scene data from the scene acquisition unit 110, filters out valuable target scene data according to analysis target scene data and calculation rules, eliminates invalid data and sends the invalid data to the model generating unit 130, the model generating unit 130 creates a digital model for the target scene data by using bim+gsi, further, the digital model may be a two-dimensional model or a three-dimensional model, and the model generating unit 130 sends the digital model to the data judging unit 210.
S2, model data resolution and scale scaling, the data judging unit 210 receives the model data generated by the model generating unit 130, judges and analyzes the model data and definition data of the system, judges whether the model data is in resolution and scale scaling, transmits the judged model data to the model calculating unit 220, the model calculating unit 220 receives the model data judged by the data judging unit 210, and transmits the model data to the scale calculating unit 230 after resolution scaling according to corresponding judgment, and the scale calculating unit 230 receives the model data after resolution scaling of the model calculating unit 220, and transmits the model data to the model data comparing unit 310 after size scaling according to corresponding judgment;
specifically, the data judging unit 210 receives the digital model created from the model generating unit 130, compares the digital model with the system definition model data, obtains corresponding resolution and scale size data, and transmits the data to the model calculating unit 220, performs resolution scaling processing on the digital model according to the obtained resolution data by the model calculating unit 220, and transmits the data to the scale calculating unit 230, and the scale calculating unit 230 receives the digital model subjected to resolution scaling processing from the model calculating unit 220, performs scale size scaling on the digital model according to the compared scale size data, and transmits the scale size scaled digital model to the data comparing unit.
S3, the model data correction, the data comparison unit receives the scaled model data with the size ratio by the ratio calculation unit 230, compares the model data with the definition data again and transmits the result to the model data modification unit 320, and the model data modification unit 320 is configured to receive the model data compared by the model data comparison unit 310, correct the model data compared with the definition data according to the compared model data and then transmit the corrected model data to the data integration unit 410;
specifically, the data comparing unit receives the digital model from the proportion calculating unit 230, compares the processed digital model with the definition data of the system again to obtain the preprocessing data, and transmits the digital model and the preprocessing data to the model data modifying unit 320, and the model data modifying unit 320 receives the digital model and the preprocessing data from the data comparing unit, performs data correction on the digital model according to the preprocessing data, and transmits the data corrected to the data integrating unit 410.
S4, generating graphic data, wherein the data integrating unit 410 receives the corrected model data of the model data modifying unit 320, integrates the corrected model data and transmits the integrated model data to the graphic data generating unit 420, the graphic data generating unit 420 receives the integrated model data of the data integrating unit 410, processes the integrated model data to transmit the integrated model data to the graphic data generating unit 420, the graphic data generating unit 420 receives the graphic data generated by the graphic data generating unit 420, processes the generated graphic data to generate preview chart data and transmits the preview chart data to the graphic data deriving unit 440, and the graphic data deriving unit 440 receives the preview chart data generated by the graphic data previewing unit 430, processes the preview chart data and transmits the preview chart data to the display module 500;
specifically, the data integrating unit 410 receives the digital model corrected by the model data modifying unit 320, according to the content and the data correlation, through the structured interface layout and the color collocation with emphasis, the data is effectively integrated and processed and then sent to the graphic data generating unit 420, the graphic data generating unit 420 receives the integrated data from the data unit and sends the integrated data to the graphic data previewing unit 430, the graphic data previewing unit 430 receives the image data from the graphic data generating unit 420, selects the graphic or multidimensional display type capable of being more emphasized according to the content to be displayed, generates the graphic preview file such as the scatter diagram, the line diagram, the histogram, the pie diagram, the radar diagram, the K diagram, the thermodynamic diagram, the box diagram, the relationship diagram and Sang Jitu required by the user, sends the graphic preview file to the graphic data exporting unit 440, and the graphic data exporting unit 440 receives the graphic preview file from the graphic data previewing unit 430 (430) and sends the graphic preview file to the display module 500 after processing.
S5, displaying a chart picture, wherein the display module 500 receives the preview chart data of the shape data export unit and displays the preview chart data on the picture.
The invention utilizes two-dimensional and three-dimensional views to combine virtual reality technology to completely and freshly present city panorama including city blocks, landmark points, buildings, maneuvering targets, pipeline facilities and the like; synchronously presenting the data according to two dimensions of time and space, and comprehensively controlling the change situation of the data; real-time monitoring, historical playback and simulation deduction of space data are supported, rules are clearly visible, and decisions can be more dependable and efficient; various chart presentation modes are provided, and besides a plane chart, chart superposition based on a three-dimensional space scene is supported.
It should be understood that the specific order or hierarchy of steps in the processes disclosed are examples of exemplary approaches. Based on design preferences, it is understood that the specific order or hierarchy of steps in the processes may be rearranged without departing from the scope of the present disclosure. The accompanying method claims present elements of the various steps in a sample order, and are not meant to be limited to the specific order or hierarchy presented.
In the foregoing detailed description, various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments of the subject matter require more features than are expressly recited in each claim. Rather, as the following claims reflect, invention lies in less than all features of a single disclosed embodiment. Thus the following claims are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate preferred embodiment of this invention.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. The processor and the storage medium may reside as discrete components in a user terminal.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. These software codes may be stored in memory units and executed by processors. The memory unit may be implemented within the processor or external to the processor, in which case it can be communicatively coupled to the processor via various means as is known in the art.
The foregoing description includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, as used in the specification or claims, the term "comprising" is intended to be inclusive in a manner similar to the term "comprising," as interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean "non-exclusive or".

Claims (4)

1. The visual conversion system of the real-time data image is characterized by comprising a data acquisition module (100), a model calculation module (200), a model data correction module (300), a graph conversion module (400) and a display module (500);
the data acquisition module (100), the data acquisition module (100) is used for acquiring data of a required scene target, filtering the acquired data to generate a model, and transmitting the model to the model calculation unit (220);
the model calculation module (200), the model calculation module (200) includes a data judgment unit (210), the model calculation unit (220) and a scale calculation unit (230), the data judgment unit (210) is configured to receive the model data generated by the model generation unit (130), judge and analyze the model data and the definition data of the system, judge how large resolution and size scale the model data are, transmit the judged model data to the model calculation unit (220), the model calculation unit (220) is configured to receive the model data judged by the data judgment unit (210), and transmit the model data to the scale calculation unit (230) after resolution scaling processing is performed on the model data according to the corresponding judgment, and the scale calculation unit (230) is configured to receive the model data after resolution scaling of the model calculation unit (220), and transmit the model data to the model data correction module (300) after size scaling processing is performed on the model data according to the corresponding judgment;
the model calculation module (200) is used for receiving the model data of the data acquisition module (100), judging the resolution and the proportion of the model data, calculating the resolution and the proportion of the model data, scaling the resolution and the proportion, and transmitting the calculated resolution and proportion to the model data correction module (300);
the model data correction module (300) is used for receiving the model data subjected to resolution and scaling by the model calculation module (200), comparing and correcting the model data subjected to resolution and scaling according to the definition data of the system, and transmitting the model data subjected to resolution and scaling to the graphic conversion module (400);
a graphics conversion module (400), wherein the graphics conversion module (400) comprises a data integration unit (410), a graphics data generation unit (420), a graphics data preview unit (430) and a graphics data export unit (440), the data integration unit (410) is configured to receive the model data corrected by the model data modification unit (320), and transmit the corrected model data to the graphics data generation unit (420) after integration processing, the graphics data generation unit (420) is configured to receive the model data integrated by the data integration unit (410), transmit the integrated model data to the graphics data generation unit (420) after processing, the graphics data generation unit (420) is configured to receive the graphics data generated by the graphics data generation unit (420), process the generated graphics data to generate preview chart data and transmit the preview chart data to the graphics data export unit (440), and the graphics data export unit (440) is configured to receive the preview chart data generated by the graphics data preview unit (430), and transmit the chart data to the preview display module (500) after processing.
The graphic conversion module (400) is used for receiving the model data corrected by the model data correction module (300), integrating the corrected model data to generate graphic data, generating preview chart data for the graphic data, and exporting the preview chart data to the display module (500);
and the display module (500) is used for receiving the preview chart data of the graphic conversion module (400) and displaying the preview chart data.
2. The visual transformation system of a real-time data image according to claim 1, wherein the data acquisition module (100) comprises a scene acquisition unit (110), a data filtering unit (120) and a model generation unit (130), the scene acquisition unit (110) is used for acquiring required target scene data and transmitting the target scene data to the data filtering unit (120), the data filtering unit (120) is used for receiving the target scene data acquired by the scene acquisition unit (110), filtering out valuable target scene data according to analysis target scene data and calculation rules, removing invalid parts and transmitting the invalid parts to the model generation unit (130), and the model generation unit (130) is used for receiving the target scene data filtered by the data filtering unit (120), processing the filtered target scene data to generate corresponding model data and transmitting the model data to the model calculation module (200).
3. The visual transformation system of a real-time data image according to claim 1, wherein the model data correction module (300) comprises a model data comparison unit (310) and a model data modification unit (320), the data comparison unit is configured to receive scaled model data of a size scale of the scale calculation unit (230), compare the model data with definition data again and transmit the model data to the model data modification unit (320), and the model data modification unit (320) is configured to receive the model data compared by the model data comparison unit (310) and perform correction processing according to the compared model data and definition data and transmit the model data to the graphic transformation module (400).
4. A method of a real-time data image visualization transformation system, applied to the real-time data image visualization transformation system of claim 1, comprising the steps of:
s1, scene acquisition and model generation, wherein a scene acquisition unit (110) acquires required target scene data and transmits the target scene data to a data filtering unit (120), the data filtering unit (120) receives the target scene data acquired by the scene acquisition unit (110), filters out valuable target scene data according to analysis target scene data and calculation rules, eliminates invalid parts and transmits the valuable target scene data to a model generating unit (130), the model generating unit (130) receives the target scene data filtered by the data filtering unit (120), processes the filtered target scene data to generate corresponding model data, and transmits the model data to a data judging unit (210);
s2, model data resolution and scale scaling, a data judging unit (210) receives model data generated by a model generating unit (130), judges and analyzes the model data and definition data of a system, judges whether the model data is in resolution and scale scaling, transmits the judged model data to a model calculating unit (220), the model calculating unit (220) receives the model data judged by the data judging unit (210), and transmits the model data to a scale calculating unit (230) after resolution scaling according to corresponding judgment, and the scale calculating unit (230) receives the model data after resolution scaling of the model calculating unit (220), and transmits the model data to a model data comparing unit (310) after size scaling according to corresponding judgment;
s3, model data correction, wherein the data comparison unit receives the scaled model data with the size ratio by the ratio calculation unit (230), compares the model data with the definition data again and transmits the model data to the model data modification unit (320), and the model data modification unit (320) is used for receiving the model data compared by the model data comparison unit (310), correcting the model data and the definition data according to the compared model data and transmitting the corrected model data and the definition data to the data integration unit (410);
s4, generating graphic data, wherein a data integration unit (410) receives the corrected model data of the model data modification unit (320), and transmits the corrected model data to a graphic data generation unit (420) after integrating, the graphic data generation unit (420) receives the model data integrated by the data integration unit (410), and transmits the integrated model data to the graphic data generation unit (420) after processing, the graphic data generation unit (420) receives the graphic data generated by the graphic data generation unit (420), and generates preview chart data after processing the generated graphic data and transmits the preview chart data to a graphic data derivation unit (440), and the graphic data derivation unit (440) receives the preview chart data generated by the graphic data preview unit (430) and transmits the preview chart data to a display module (500) after processing;
s5, displaying a chart picture, wherein the display module (500) receives the preview chart data of the shape data export unit and displays the preview chart data.
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