A data analysis visualization method and device based on model

Abstract

Embodiments of the present invention relate to the field of automotive technology and disclose a model-based data analysis visualization method and device. The method includes: obtaining first data corresponding to a first measuring point in a first component, the first data being the data of the first measuring point in the first stage; obtaining second data corresponding to the first measuring point, the second data being the data corresponding to the first measuring point in the second stage; loading a first model including the first measuring point, the first model corresponding to the first component; and controlling the first measuring point on the first model to display difference information, the difference information being generated based on a comparison between the first data and the second data. Application of the technical solution of the present invention enables the first measuring point to be highlighted in the first model, allowing the user to quickly locate the first measuring point and obtain its corresponding difference information, quickly performing visual analysis on the measuring point, saving data analysis output time, improving data analysis reading efficiency, and enhancing the degree of data analysis visualization.

Description

Technical Field

[0001] The embodiments of the present invention relate to the automotive field, and in particular to a model-based data analysis visualization method and device. Background Art

[0002] Model-based data analysis visualization usually refers to the use of data graphics technology to display the appearance and parameters of a product in a combination of images and text, which makes the expression effect clearer and the comparison effect more intuitive. In some model-based data analysis visualization implementations, multiple data sets of the product are usually obtained first; then the various data included are input into different templates corresponding to the product components, and the template is associated with the model of each component; when analyzing the data, the associated template is called through model access to output an analysis report. However, for measurement points or components that may have problems, users can only analyze them through the final output analysis report, which has a relatively boring display format. In addition, during the report output process, different templates need to be frequently called and accessed, which often leads to problems such as freezes and long time consumption. Summary of the Invention

[0003] In view of the above problems, the present application provides a model-based data analysis visualization method and device, which is used to solve the problems in the prior art that the output of analysis reports requires accessing and calling different templates, resulting in jamming, long time consumption, boring report display format, and inconvenient display format of measurement point component status information.

[0004] According to one aspect of an embodiment of the present invention, a model-based data analysis visualization method is provided, the method comprising:

[0005] Acquire first data corresponding to a first measuring point in a first component, where the first data is data corresponding to the first measuring point in a first stage;

[0006] Acquire second data corresponding to the first measuring point, where the second data is data corresponding to the first measuring point in the second stage;

[0007] loading a first model including the first measuring point, where the first model corresponds to the first component;

[0008] The first measuring point on the first model is controlled to display difference information, where the difference information is generated based on a comparison between the first data and the second data.

[0009] In an optional manner, controlling the first measuring point on the first model to display difference information further includes:

[0010] generating an error value based on a comparison of the first data and the second data;

[0011] When the error value is less than or equal to a first threshold, the first measuring point is controlled to be displayed in a first color in the user interface; otherwise, the first measuring point is controlled to be displayed in a second color in the user interface.

[0012] In an optional manner, when the error value is less than or equal to a first threshold, controlling the first measuring point to be displayed in a first color in the user interface; otherwise, controlling the first measuring point to be displayed in a second color in the user interface further includes:

[0013] When the error value is less than or equal to the first threshold, controlling the first measuring point to be displayed in the first color in the user interface;

[0014] When the error value is greater than a second threshold, controlling the first measuring point to be displayed in a third color in the user interface;

[0015] When the error value is greater than the first threshold and less than or equal to the second threshold, the first measuring point is controlled to be displayed in the second color in the user interface.

[0016] In an optional manner, after the user interface has finished loading all models, the method further includes:

[0017] When the number of measurement points displayed in the second color in the first model exceeds a preset threshold, the first model is controlled to be highlighted in the user interface.

[0018] In an optional manner, the method further includes:

[0019] When the measuring points are continuously distributed and displayed in the same color, the first model is controlled to display a first set including the continuous measuring points, the first set is used to display the correctness of the data of the first model including the continuous measuring points in the linear region, and the first set is displayed in the first color or the second color.

[0020] In an optional manner, after loading the first model including the first measurement point, the method further includes:

[0021] After receiving an operation to view the first measurement point in the first model, the user interface is controlled to display a first card including first data analysis information, where the first data analysis information is generated based on the first data and the second data.

[0022] In an optional manner, the first model further includes a second measuring point, and the data of the second measuring point is acquired in the same manner as that of the first measuring point;

[0023] After the control user interface displays the first card including the first data analysis information, the method further includes:

[0024] After receiving an operation to view the second measuring point in the first model, the user interface is controlled to display a second card including second data analysis information, where the second data analysis information is generated based on the measurement data corresponding to the second measuring point at different stages.

[0025] In an optional manner, after loading the first model including the first measurement point, the method further includes:

[0026] Loading a second model including a third measuring point, where the second model corresponds to a second component, and data of the third measuring point is acquired in the same manner as data of the first measuring point;

[0027] After receiving an operation to view the third measurement point in the second model, the user interface is controlled to display a third card including third data analysis information.

[0028] In an optional manner, the first data is a theoretical measurement value, and the second data is an actual measurement value; obtaining the first data corresponding to the first measurement point in the first stage and the second data corresponding to the second stage further includes:

[0029] During the design phase of the first component, the theoretical measurement values are received and entered into a standard performance table, which is stored in a data platform;

[0030] Reading the standard score sheet to obtain the theoretical measurement value as the first data;

[0031] During the actual measurement phase of the first component, receiving the actual measurement value and filling it into the standard score sheet;

[0032] The standard score sheet is read to obtain the actual measurement value as the second data.

[0033] According to another aspect of an embodiment of the present invention, a model-based data analysis and visualization device is provided, comprising:

[0034] A first acquisition module is configured to acquire first data corresponding to a first measuring point in a first component, wherein the first data is data corresponding to the first measuring point in a first stage;

[0035] A second acquisition module is used to acquire second data corresponding to the first measuring point, where the second data is data corresponding to the first measuring point in the second stage;

[0036] a loading module, configured to load a first model including the first measuring point, wherein the first model corresponds to the first component;

[0037] The display module is configured to control the first measuring point on the first model to display difference information, where the difference information is generated based on a comparison between the first data and the second data.

[0038] According to another aspect of an embodiment of the present invention, there is provided a model-based data analysis visualization device, comprising: a display, a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus;

[0039] The display is used to display a user interface;

[0040] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform the operation of any one of the above-mentioned model-based data analysis information display methods.

[0041] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided, wherein the storage medium stores at least one executable instruction. When the executable instruction is executed on a model-based data analysis visualization device / apparatus, the model-based data analysis visualization device / apparatus performs the operation of the model-based data analysis visualization method as described in any one of the above-mentioned invention contents.

[0042] The beneficial effects of the present application are as follows: by acquiring the first data and the second data, measurement data for comparative analysis can be obtained; further, by loading the first model, corresponding measurement points can be loaded through the model, so that the user can quickly select and determine the first measurement point to be analyzed; further, by constructing difference information, the first measurement point can be highlighted in the first model, so that the user can quickly locate the first measurement point and obtain its corresponding difference information, quickly perform visual analysis on the measurement point, save data analysis output time, improve data analysis reading efficiency, and improve the visualization of data analysis.

[0043] The above description is only an overview of the technical solutions of the embodiments of the present invention. In order to more clearly understand the technical means of the embodiments of the present invention, they can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the embodiments of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings are only used to illustrate the embodiments and are not to be considered as limiting the present invention. In addition, the same reference symbols are used to represent the same components throughout the drawings. In the drawings:

[0045] Figure 1A A flowchart of a first embodiment of the model-based data analysis visualization method provided by the present invention is shown;

[0046] Figure 1B A flow chart showing a second embodiment of the model-based data analysis visualization method provided by the present invention is shown;

[0047] Figure 1C A flowchart of a third embodiment of the model-based data analysis visualization method provided by the present invention is shown;

[0048] Figure 2A A schematic diagram of a user interface of another embodiment of the model-based data analysis and visualization device provided by the present invention is shown;

[0049] Figure 2B A schematic diagram of a user interface of another embodiment of the model-based data analysis and visualization device provided by the present invention is shown;

[0050] Figure 2C A schematic diagram of a user interface of another embodiment of the model-based data analysis and visualization device provided by the present invention is shown;

[0051] Figure 2D A schematic diagram of a user interface of another embodiment of the model-based data analysis and visualization device provided by the present invention is shown;

[0052] Figure 2E A schematic diagram of a user interface of another embodiment of the model-based data analysis and visualization device provided by the present invention is shown;

[0053] Figure 2F A schematic diagram of a user interface of another embodiment of the model-based data analysis and visualization device provided by the present invention is shown;

[0054] Figure 3 A schematic structural diagram of a first embodiment of a model-based data analysis and visualization device provided by the present invention is shown;

[0055] Figure 4 A structural diagram of an embodiment of a model-based data analysis visualization device provided by the present invention is shown. DETAILED DESCRIPTION

[0056] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0057] Figure 1A The flowchart of the first embodiment of the model-based data analysis visualization method of the present invention is shown, and the method can be executed by the model-based data analysis visualization method device. Figure 1A As shown, the method includes the following steps:

[0058] In step 110 , first data corresponding to a first measuring point in a first component is obtained, where the first data is data corresponding to the first measuring point in the first stage.

[0059] The first component may be a component of a product. For example, during vehicle manufacturing, the first component may be a vehicle door component including a first measuring point or multiple measuring points. The first measuring points may be used to perform data measurement and quality assessment of the door component design and manufacturing process.

[0060] The first data may be implemented as theoretical measurement values of the first measurement point in the design phase, and the theoretical measurement values may be used for subsequent data analysis to achieve quality assessment of component manufacturing.

[0061] It should be noted that the first data may also be implemented as measurement data of the first measuring point at different stages in other processes. For example, in the manufacturing process, the first data may be implemented as actual measurement values after the body-in-white assembly is cast.

[0062] In step 120 , second data corresponding to the first measuring point is obtained, where the second data is data corresponding to the first measuring point in the second stage.

[0063] Among them, the first data can be implemented as the theoretical measurement value of the first measuring point in the design stage, and the second data can be implemented as the actual measurement value of the first measuring point in the actual measurement stage. The theoretical measurement value and the actual measurement value can be used for subsequent data analysis to achieve quality assessment of component manufacturing.

[0064] It should be noted that the first data and the second data may also be implemented as measurement data of the first measuring point at different stages in other processes.

[0065] For example, when the actual measurement stage is the manufacturing stage, the first data may be implemented as the actual measurement value of the body-in-white assembly after casting, and the second data may be implemented as the actual measurement value of the body-in-white assembly after painting.

[0066] In an optional manner, the first data is a theoretical measurement value, and the second data is an actual measurement value; and the first data corresponding to the first measuring point in the first stage and the second data corresponding to the second stage are obtained.

[0067] During the design phase of the first component, the theoretical measurement values are received and entered into a standard performance table, which is stored in a data platform;

[0068] Reading the standard score sheet to obtain the theoretical measurement value as the first data;

[0069] During the actual measurement phase of the first component, receiving the actual measurement value and filling it into the standard score sheet;

[0070] The standard score sheet is read to obtain the actual measurement value as the second data.

[0071] The measurement data corresponding to the first measurement point at different stages and the first measurement point information may be stored in the data platform.

[0072] For example, for a body-in-white assembly that has completed the casting process, the theoretical measurement values of its included measurement points during the design phase can be added to the original score sheet;

[0073] Then, you can save the original score sheet in CSV format to form a standard score sheet that can be read by the data platform, and then upload the standard score sheet to the data platform;

[0074] By reading the standard score sheet again, theoretical measurement values can be acquired as first data.

[0075] Among them, the standard score sheet can also add the first measuring point information, that is, the information of the measuring point itself, such as base information, vehicle model information, measurement time information, measuring point name, three-dimensional coordinate theoretical measurement value, tolerance value, etc.

[0076] After the body-in-white assembly is cast, the actual three-dimensional coordinates of the measuring points included therein are measured, and the obtained actual measurement values of the three-dimensional coordinates are added to the standard score sheet, which includes the measurement data corresponding to the measuring points at different stages.

[0077] Correspondingly, after the standard score sheet completes the addition of data in the actual measurement phase, the standard score sheet can be read again to obtain the actual measurement value as the second data.

[0078] Step 130: Load a first model including the first measuring point, where the first model corresponds to the first component.

[0079] After the data platform collects the first component and the first measurement point data included therein, it can load the first model corresponding to the first component, which also includes the corresponding first measurement point, such as Figure 2A shown.

[0080] For example, in the user interface, by rotating, zooming in, zooming out, filtering, and other operations on the first model, the first measurement point included in the first model can be selected.

[0081] For another example, the actual first component, the first model displayed in the user interface and the first measurement point included therein, as well as the standard performance table stored in the data platform, can be named according to unified standard rules. The name may include the production base, vehicle model, part number, and measurement time, so that related data can be accessed when performing data analysis based on the model.

[0082] For another example, when performing visual data analysis based on the first model, the file name of the first model where the first measuring point is located can be quickly associated with the standard score table corresponding to the first component to obtain data of the first measuring point in the standard score table.

[0083] Step 140: Control the first measuring point on the first model to display difference information, where the difference information is generated based on a comparison between the first data and the second data.

[0084] The difference information can be implemented as different colors, such as green, red, blue, or other colors, such as Figure 2A shown.

[0085] By displaying the first measuring point with the difference information on the first model, the first measuring point can be highlighted among many measuring points, so that the user can quickly locate the first measuring point.

[0086] For example, firstly, first data and second data corresponding to a first measuring point at different stages are obtained, and then a difference between the first data and the second data is determined.

[0087] The difference value is made to correspond to different threshold intervals, and then corresponding colors are configured for different threshold intervals, so that the first measuring point corresponding to the difference value can be determined to be displayed as the color corresponding to the threshold period in the first model, so that the color displayed by the first measuring point in the first model can have a specific meaning, and the specific meaning includes, for example, that the difference value belongs to the threshold period.

[0088] The difference information is generated based on the comparison between the first data and the second data. The first data and the second data can be implemented as length data, color data, glossiness data, or other manufacturing and design data, for example.

[0089] For another example, when the difference information is implemented as color, it can be determined whether the manufacturing of the first measuring point meets the quality requirements. When the first measuring point of the first model is displayed in green in the user interface, it can indicate that the measuring point meets the quality requirements; similarly, when the first measuring point is displayed in red in the user interface, it can indicate that the measuring point does not meet the quality requirements.

[0090] The method of the present application can obtain measurement data for comparative analysis by acquiring first data and second data during the model-based data analysis visualization process; further, by loading the first model, corresponding measurement points can be loaded through the model, so that the user can quickly select and determine the first measurement point to be analyzed; further, by constructing difference information, the first measurement point can be highlighted in the first model, so that the user can quickly locate the first measurement point and obtain its corresponding difference information, and quickly perform visual analysis on the measurement point, thereby saving data analysis output time, improving data analysis reading efficiency, and improving the degree of data analysis visualization.

[0091] Figure 1B The flowchart of the second embodiment of the model-based data analysis and visualization method of the present invention is shown. The method can be executed by a model-based data analysis and visualization device.

[0092] It should be noted that this embodiment is based on the first embodiment, and the operations of the method are the same as those of the first embodiment. This embodiment will not be repeated in detail. The differences between this embodiment and the first embodiment will be elaborated below. In the step of controlling the first measuring point on the first model to display difference information, Figure 1B As shown, the method includes the following steps:

[0093] Step 201: Generate an error value based on a comparison between the first data and the second data.

[0094] The error value may be implemented as a difference between the first data and the second data.

[0095] For example, the second data may be implemented as the actual measurement value after the BIW assembly is cast, and the first data may be implemented as the theoretical measurement value of the BIW assembly during the design phase. The error value is the difference between the actual measurement value and the theoretical measurement value.

[0096] By determining the size of the error value, it can be determined whether the manufacturing position of the first measuring point in the first component meets the manufacturing quality requirements.

[0097] The error value can also be used to determine whether the first component as a whole meets the quality requirements. For example, for key measuring points in some components, it can be set that when the error value of the measuring point is greater than a preset threshold, the component is judged to be non-compliant with the quality requirements. At the same time, the component or the measuring point can be controlled to be highlighted in the user interface, or an early warning prompt can be issued.

[0098] Step 202: When the error value is less than or equal to a first threshold, control the first measuring point to be displayed in a first color in the user interface; otherwise, control the first measuring point to be displayed in a second color in the user interface.

[0099] When the difference between the second data and the first data is less than or equal to a first threshold, it can be determined that the manufacturing of the first measuring point can meet the quality requirements.

[0100] For example, the first data is implemented as a theoretical measurement value in the design phase, and the second data is implemented as an actual measurement value in the actual measurement phase. When the first threshold is set to 3mm, if the error value is less than or equal to 3mm, it can be determined that the manufacturing of the first measuring point meets the quality requirements, and the first measuring point of the first model can be controlled to be displayed in the first color in the user interface. The first color can be configured to be green, for example. Figure 2D A first measurement point of a first color is shown in .

[0101] It can be understood that when a certain measuring point of the first model in the user interface is displayed in the first color, it can be quickly determined that the error between the actual measurement value and the theoretical measurement value of the measuring point is within 3 mm, and the manufacturing of the measuring point meets the quality requirements.

[0102] When the difference between the second data and the first data is greater than the first threshold, it can be determined that the manufacturing of the first measuring point does not meet the quality requirements, and the first measuring point of the first model can be controlled to be displayed in a second color in the user interface. The second color can be configured as blue, for example. Figure 2D The measurement points of the second color are shown.

[0103] It can be understood that when a measuring point of the first model in the user interface is displayed in the second color, it can be quickly determined that the error between the actual measurement value and the theoretical measurement value of the measuring point is greater than 3mm, and the manufacturing of the measuring point does not meet the quality requirements. Engineering personnel do not need to click on the measuring points one by one to enter their corresponding templates to view specific data, which greatly simplifies the data analysis process, reduces the time consumption of data analysis, and makes data analysis more intuitive and efficient.

[0104] In the process of model-based data analysis visualization, the method in the present application can obtain the difference between the second data and the first data by constructing a basic error value; further, when it is determined that the error value is less than or equal to a first threshold, the first measuring point is controlled to be displayed in a first color in the user interface, so that the quality-compliant measuring points can be quickly identified in the user interface; further, when it is determined that the error value is greater than the first threshold, the first measuring point is controlled to be displayed in a second color in the user interface, so that the quality-compliant measuring points can be quickly identified in the user interface.

[0105] Figure 1C The flowchart of the third embodiment of the model-based data analysis visualization method of the present invention is shown. The method can be executed by a model-based data analysis display device.

[0106] It should be noted that this embodiment is based on the second embodiment, and the operations of the method are the same as those of the second embodiment, which will not be described in detail in this embodiment. The differences between this embodiment and the second embodiment will be elaborated below. Figure 1C As shown, when the error value is less than or equal to a first threshold, controlling the first measuring point to be displayed in a first color in the user interface; otherwise, controlling the first measuring point to be displayed in a second color in the user interface, the method includes the following steps:

[0107] Step 211: When the error value is less than or equal to the first threshold, control the first measuring point to be displayed in the first color in the user interface.

[0108] For example, when the difference between the second data and the first data is less than or equal to a first threshold, it can be determined that the manufacturing of the first measuring point can meet the quality requirements.

[0109] Step 212: When the error value is greater than a second threshold, control the first measuring point to be displayed in a third color in the user interface.

[0110] When the difference between the second data and the first data is not only greater than the first threshold but also greater than the second threshold, it can be determined that the manufacturing of the first measuring point seriously does not meet the quality requirements.

[0111] For example, the first data is implemented as a theoretical measurement value in the design phase, and the second data is implemented as an actual measurement value in the actual measurement phase. When the first threshold is set to 3mm and the second threshold is set to 6mm, if the error value is greater than 6mm, it can be determined that the manufacturing of the first measuring point seriously does not meet the quality requirements. The first measuring point of the first model can be controlled to be displayed in a third color in the user interface. The first color can be configured to be red, which has a warning effect, such as Figure 2D A third measurement point of a third color is shown in .

[0112] It can be understood that when a certain measuring point of the first model in the user interface is displayed in the third color, it can be quickly determined that the error between the actual measurement value and the theoretical measurement value of the measuring point is greater than 6 mm, and the manufacturing of the measuring point seriously does not meet the quality requirements.

[0113] Step 213: When the error value is greater than the first threshold and less than or equal to the second threshold, control the first measuring point to be displayed in the second color in the user interface.

[0114] Among them, when the difference between the actual measurement value and the theoretical measurement value of the first measuring point is greater than the first threshold and less than or equal to the second threshold, it can be determined that although the first measuring point does not meet the quality requirements, it does not seriously fail to meet the quality requirements. That is, the measuring points that do not meet the quality requirements are ranked in a tiered manner.

[0115] It is understandable that displaying the measuring points in green, blue, and red is of practical significance. When the manufacturing of multiple measuring points in the first component does not meet the quality requirements, engineers can give priority to analyzing and processing the red measuring points and lower the priority of analyzing and processing the blue measuring points.

[0116] In the model-based data analysis visualization process, the method in the present application can control the first measuring point to be displayed in a third color in the user interface by determining that the error value is greater than the second threshold; further, by determining that the error value is greater than the first threshold and less than or equal to the second threshold, the first measuring point can be controlled to be displayed in the second color in the user interface. This enables the user to quickly identify measuring points that seriously do not meet quality requirements and measuring points that generally do not meet quality requirements when there are a large number of measuring points, so as to give priority to analyzing and processing the measuring points that seriously do not meet quality requirements.

[0117] In an optional embodiment, after loading the first model including the first measuring point, the method further includes: after receiving an operation to view the first measuring point in the first model, controlling the user interface to display a first card including first data analysis information, where the first data analysis information is generated based on the first data and the second data.

[0118] When visually displaying the first card corresponding to the first measuring point, the first measuring point can be associated with the corresponding standard score table in the data platform, and the first data, second data, and first measuring point information stored therein about the first measuring point are obtained. The first card is displayed in the user interface as follows: Figure 2B shown.

[0119] The first data analysis information of the first card may include different parameters, which may be displayed in a combination of images, text, and tables, such as Figure 2C As shown; for example, it may include parameter 1, parameter 2, parameter 3, or more parameters, as well as component model information and other content; the present invention does not limit the specific content that may be included in the first data analysis information displayed on the first card, but the first data analysis information is generated based on the first data and the second data, and can also be produced based on the basic information of the first measuring point. The basic information may include the place of origin, the name of the component at the measuring point, the production line, the process and other content.

[0120] The image included in the first card can be displayed as a bar chart, pie chart, etc. This application does not impose any specific restrictions on the display content of the first card. It should be noted that in this embodiment, when analyzing the first measurement point data based on the first model and displaying the first card, there is no need to call the template corresponding to the first measurement point. Only the corresponding standard data table needs to be read online. This data reading process is simple to operate, does not cause any lag, and has a short waiting time.

[0121] By controlling the user interface to display the first card, the first data analysis information of the first measuring point can be visualized, saving data analysis output time, improving data analysis reading efficiency, and improving data analysis visualization.

[0122] In an optional manner, the first model further includes a second measuring point, and the data of the second measuring point is acquired in the same manner as that of the first measuring point.

[0123] After the control user interface displays a first card including first data analysis information, the method further includes: after receiving an operation to view the second measuring point in the first model, controlling the user interface to display a second card including second data analysis information, where the second data analysis information is generated based on measurement data corresponding to the second measuring point at different stages.

[0124] The first component may include, for example, a first measuring point and a second measuring point, and the data acquisition method and loading method thereof are the same.

[0125] For example, the first measuring point and the second measuring point can be implemented as two adjacent or non-adjacent measuring points. The first component can also include multiple measuring points such as a third measuring point and a fourth measuring point.

[0126] The first model displayed in the corresponding user interface also includes a first measuring point and a second measuring point.

[0127] When performing data analysis on the first measuring point and the second measuring point, the user interface can be controlled to simultaneously display a first card corresponding to the first measuring point and a second card corresponding to the second measuring point.

[0128] The first card may include first data analysis information, and the second card may include second data analysis information.

[0129] By displaying the multiple measuring points of the first model in the user interface, data analysis and visual display of the multiple measuring points of the first component can be performed simultaneously.

[0130] In some optional embodiments, after loading the first model including the first measuring point, the method further includes: loading a second model including a third measuring point, the second model corresponding to a second component, and the data acquisition method of the third measuring point is the same as that of the first measuring point; after receiving an operation to view the third measuring point in the second model, controlling the user interface to display a third card including third data analysis information.

[0131] During the process of loading the first model, or after the first model is loaded, a second model including a third measuring point may be loaded, where the second model corresponds to the second component.

[0132] After the third measuring point in the second model receives the confirmation operation, the user interface may be controlled to display a third card including third data analysis information.

[0133] like Figure 2E As shown, the user interface includes a first model of the proximal door component and a second model of the distal door component.

[0134] The first model includes a green first measuring point and a blue second measuring point, and the second model includes a red third measuring point.

[0135] After the three measuring points receive the confirmation operation, the user interface can be controlled to simultaneously display the first card corresponding to the first measuring point, the second card corresponding to the second measuring point, and the third card corresponding to the third measuring point. Figure 2F shown.

[0136] In some optional embodiments, after all models are loaded in the user interface, the method further includes: when the number of measurement points displayed in the second color in the first model exceeds a preset threshold, controlling the first model to be highlighted in the user interface.

[0137] For example, when the number of measurement points displayed in blue in the first model exceeds a preset threshold of 15, it can be determined that the manufacturing of the first component corresponding to the first model does not meet the quality requirements, which includes more than 15 measurement point error values that do not meet the quality requirements. The first model can be controlled to be displayed in a preset color in the user interface.

[0138] It can also be configured that when the number of measurement points displayed in green in the first model exceeds a preset threshold of 15, it is determined that the manufacturing of the first component corresponding to the first model does not meet the quality requirements.

[0139] The preset color may be implemented as gray, for example, so that component models that do not meet quality requirements can be highlighted in the user interface.

[0140] When the user interface shows that a product is composed of multiple component models, engineers can quickly identify the components that do not meet quality requirements and prioritize their analysis and processing.

[0141] In some optional embodiments, the method further includes: when the measuring points are continuously distributed and displayed in the same color, controlling the first model to display a first set containing continuous measuring points, the first set being used to display the correctness of the data of the first model containing the continuous measuring points within the linear region, and the first set being displayed in the first color or the second color.

[0142] For example, when a large number of measurement points are distributed on the first model, and measurement points of the same color are distributed in a line and are relatively close to each other, the measurement points constitute a first set.

[0143] During the display of the user interface, the visual effect of the first set will be similar to a colored line segment.

[0144] It can be understood that when the second set and the third set exist, and the second set and the third set respectively display different colors, the first model will be displayed as including multiple line segments of different colors in visual effect.

[0145] Users can quickly locate areas where measurement points meet quality requirements, do not meet quality requirements, or seriously do not meet quality requirements based on the positions of different colored line segments in the first model.

[0146] Figure 3 FIG. 1 shows a schematic diagram of the structure of an embodiment of a data analysis and visualization device based on a model of the present invention. Figure 3As shown, the device 300 includes: a first acquisition module 310 , a second acquisition module 320 , a loading module 330 , and a display module 340 .

[0147] A first acquisition module is configured to acquire first data corresponding to a first measuring point in a first component, wherein the first data is data corresponding to the first measuring point in a first stage;

[0148] A second acquisition module is used to acquire second data corresponding to the first measuring point, where the second data is data corresponding to the first measuring point in the second stage;

[0149] a loading module, configured to load a first model including the first measuring point, wherein the first model corresponds to the first component;

[0150] The display module is configured to control the first measuring point on the first model to display difference information, where the difference information is generated based on a comparison between the first data and the second data.

[0151] In an optional manner, the first loading module is used to control the first measuring point on the first model to display difference information, further comprising:

[0152] The display module is used to generate an error value based on the comparison between the first data and the second data;

[0153] When the error value is less than or equal to a first threshold, the display module controls the first measuring point to be displayed in a first color in the user interface; otherwise, the display module controls the first measuring point to be displayed in a second color in the user interface.

[0154] In an optional manner, when the error value is less than or equal to a first threshold, the display module controls the first measuring point to be displayed in a first color in the user interface; otherwise, the display module controls the first measuring point to be displayed in a second color in the user interface, further comprising:

[0155] When the error value is less than or equal to the first threshold, the display module controls the first measuring point to be displayed in the first color in the user interface;

[0156] When the error value is greater than a second threshold, the display module controls the first measuring point to be displayed in a third color in the user interface;

[0157] When the error value is greater than the first threshold and less than or equal to the second threshold, the display module controls the first measuring point to be displayed in the second color in the user interface.

[0158] In an optional manner, after the loading module completes loading all models in the user interface, the loading module further includes:

[0159] When the number of measurement points displayed in the second color in the first model exceeds a preset threshold, the display module controls the first model to be highlighted in the user interface.

[0160] In an optional manner, when the measuring points are continuously distributed and displayed in the same color, the display module controls the first model to display a first set containing continuous measuring points, and the first set is used to display the correctness of the data of the first model containing the continuous measuring points in the linear region, and the first set is displayed in the first color or the second color.

[0161] In an optional manner, after the loading module loads the first model including the first measuring point, the method further includes:

[0162] After the first acquisition module receives an operation to view the first measurement point in the first model, the display module controls the user interface to display a first card including first data analysis information, where the first data analysis information is generated based on the first data and the second data.

[0163] In an optional manner, the first model further includes a second measuring point, and the data acquisition method of the second measuring point is the same as that of the first measuring point; after the display module controls the user interface to display the first card containing the first data analysis information, the method further includes:

[0164] After the second acquisition module receives the operation of viewing the second measuring point in the first model, the display module controls the user interface to display a second card containing second data analysis information, where the second data analysis information is generated based on the measurement data corresponding to the second measuring point at different stages.

[0165] In an optional manner, after loading the first model including the first measuring point, the loading module further includes:

[0166] The loading module loads a second model including a third measuring point, the second model corresponds to a second component, and the data of the third measuring point is acquired in the same manner as that of the first measuring point;

[0167] After receiving the operation of viewing the third measuring point in the second model, the display module controls the user interface to display a third card containing third data analysis information.

[0168] In an optional manner, the first data is a theoretical measurement value, the second data is an actual measurement value, the first acquisition module acquires the first data corresponding to the first measuring point in the first stage, and the second acquisition module acquires the second data corresponding to the first measuring point in the second stage, further comprising:

[0169] During the design phase of the first component, a first acquisition module receives the theoretical measurement value and fills it into a standard performance table, which is stored in a data platform;

[0170] The display module reads the standard score sheet and obtains the theoretical measurement value as the first data;

[0171] During the actual measurement phase of the first component, the second acquisition module receives the actual measurement value and fills it into the standard score sheet;

[0172] The display module reads the standard score sheet and obtains the actual measurement value as the second data.

[0173] By applying the technical solution of the present invention, measurement data for comparative analysis can be obtained by acquiring first data and second data; by loading the first model, corresponding measurement points can be loaded through the model, allowing the user to quickly select and determine the first measurement point to be analyzed; by constructing difference information, the first measurement point can be highlighted in the first model, allowing the user to quickly locate the first measurement point and obtain its corresponding difference information; by determining that the error value is less than or equal to a first threshold, the measurement point can be controlled to be displayed in a first color; by determining that the error value is greater than the first threshold and less than or equal to a second threshold, the measurement point can be controlled to be displayed in a second color; by determining that the error value is greater than the first threshold and less than or equal to a second threshold, the measurement point can be controlled to be displayed in a third color, and measurement points of different quality states can be quickly identified. When a product includes multiple component models, component models that do not meet quality requirements are highlighted, allowing engineers to quickly identify the component and perform priority analysis and processing on it, reducing the time consumption of data analysis output, improving data analysis efficiency, and improving the visualization of data analysis.

[0174] Figure 4 A schematic structural diagram of an embodiment of a model-based data analysis and visualization device of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the model-based data analysis and visualization device.

[0175] like Figure 4 As shown, the model-based data analysis and visualization device may include: a processor 402 , a communications interface 404 , a memory 406 , and a communication bus 408 .

[0176] Processor 402, communication interface 404, and memory 406 communicate with each other via communication bus 408. Communication interface 404 is used to communicate with other devices, such as clients or other server network elements. Processor 402 is used to execute program 410, which may specifically perform the steps described in the aforementioned embodiment of the model-based data analysis and visualization method.

[0177] Specifically, the program 410 may include program code including computer-executable instructions.

[0178] Processor 402 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement an embodiment of the present invention. The one or more processors included in the model-based data analysis and visualization device may be processors of the same type, such as one or more CPUs, or may be processors of different types, such as one or more CPUs and one or more ASICs.

[0179] The memory 406 is used to store the program 410. The memory 406 may include a high-speed RAM memory, or may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0180] Program 410 may be specifically called by processor 402 to cause device XXX to perform the following operations:

[0181] Acquire first data corresponding to a first measuring point in a first component, where the first data is data corresponding to the first measuring point in a first stage;

[0182] Acquire second data corresponding to the first measuring point, where the second data is data corresponding to the first measuring point in the second stage;

[0183] loading a first model including the first measuring point, where the first model corresponds to the first component;

[0184] The first measuring point on the first model is controlled to display difference information, where the difference information is generated based on a comparison between the first data and the second data.

[0185] In an optional manner, controlling the first measuring point on the first model to display difference information further includes:

[0186] generating an error value based on a comparison of the first data and the second data;

[0187] When the error value is less than or equal to a first threshold, the first measuring point is controlled to be displayed in a first color in the user interface; otherwise, the first measuring point is controlled to be displayed in a second color in the user interface.

[0188] In an optional manner, when the error value is less than or equal to a first threshold, controlling the first measuring point to be displayed in a first color in the user interface; otherwise, controlling the first measuring point to be displayed in a second color in the user interface further includes:

[0189] When the error value is less than or equal to the first threshold, controlling the first measuring point to be displayed in the first color in the user interface;

[0190] When the error value is greater than a second threshold, controlling the first measuring point to be displayed in a third color in the user interface;

[0191] When the error value is greater than the first threshold and less than or equal to the second threshold, the first measuring point is controlled to be displayed in the second color in the user interface.

[0192] In an optional manner, after the user interface has finished loading all models, the method further includes:

[0193] When the number of measurement points displayed in the second color in the first model exceeds a preset threshold, the first model is controlled to be highlighted in the user interface.

[0194] In an optional manner, the method further includes:

[0195] When the measuring points are continuously distributed and displayed in the same color, the first model is controlled to display a first set including the continuous measuring points, the first set is used to display the correctness of the data of the first model including the continuous measuring points in the linear region, and the first set is displayed in the first color or the second color.

[0196] In an optional manner, after loading the first model including the first measurement point, the method further includes:

[0197] After receiving an operation to view the first measurement point in the first model, the user interface is controlled to display a first card including first data analysis information, where the first data analysis information is generated based on the first data and the second data.

[0198] In an optional manner, the first model further includes a second measuring point, and the data of the second measuring point is acquired in the same manner as that of the first measuring point;

[0199] After the control user interface displays the first card including the first data analysis information, the method further includes:

[0200] After receiving an operation to view the second measuring point in the first model, the user interface is controlled to display a second card including second data analysis information, where the second data analysis information is generated based on the measurement data corresponding to the second measuring point at different stages.

[0201] In an optional manner, after loading the first model including the first measurement point, the method further includes:

[0202] Loading a second model including a third measuring point, where the second model corresponds to a second component, and data of the third measuring point is acquired in the same manner as data of the first measuring point;

[0203] After receiving an operation to view the third measurement point in the second model, the user interface is controlled to display a third card including third data analysis information.

[0204] In an optional manner, the first data is a theoretical measurement value, and the second data is an actual measurement value; obtaining the first data corresponding to the first measurement point in the first stage and the second data corresponding to the second stage further includes:

[0205] During the design phase of the first component, the theoretical measurement values are received and entered into a standard performance table, which is stored in a data platform;

[0206] Reading the standard score sheet to obtain the theoretical measurement value as the first data;

[0207] During the actual measurement phase of the first component, receiving the actual measurement value and filling it into the standard score sheet;

[0208] The standard score sheet is read to obtain the actual measurement value as the second data.

[0209] By applying the technical solution of the present invention, measurement data for comparative analysis can be obtained by acquiring first data and second data; by loading the first model, corresponding measurement points can be loaded through the model, allowing the user to quickly select and determine the first measurement point to be analyzed; by constructing difference information, the first measurement point can be highlighted in the first model, allowing the user to quickly locate the first measurement point and obtain its corresponding difference information; by determining that the error value is less than or equal to a first threshold, the measurement point can be controlled to be displayed in a first color; by determining that the error value is greater than the first threshold and less than or equal to a second threshold, the measurement point can be controlled to be displayed in a second color; by determining that the error value is greater than the first threshold and less than or equal to a second threshold, the measurement point can be controlled to be displayed in a third color, and measurement points of different quality states can be quickly identified. When a product includes multiple component models, component models that do not meet quality requirements are highlighted, allowing engineers to quickly identify the component and perform priority analysis and processing on it, reducing the time consumption of data analysis output, improving data analysis efficiency, and improving the visualization of data analysis.

[0210] An embodiment of the present invention provides a computer-readable storage medium, which stores at least one executable instruction. When the executable instruction runs on a model-based data analysis visualization device / apparatus, the model-based data analysis visualization device / apparatus executes the model-based data analysis visualization method in any of the above-mentioned method embodiments.

[0211] The executable instructions can be specifically used to enable the model-based data analysis and visualization device / apparatus to perform the following operations:

[0212] Acquire first data corresponding to a first measuring point in a first component, where the first data is data corresponding to the first measuring point in a first stage;

[0213] Acquire second data corresponding to the first measuring point, where the second data is data corresponding to the first measuring point in the second stage;

[0214] loading a first model including the first measuring point, where the first model corresponds to the first component;

[0215] The first measuring point on the first model is controlled to display difference information, where the difference information is generated based on a comparison between the first data and the second data.

[0216] In an optional manner, controlling the first measuring point on the first model to display difference information further includes:

[0217] generating an error value based on a comparison of the first data and the second data;

[0218] When the error value is less than or equal to a first threshold, the first measuring point is controlled to be displayed in a first color in the user interface; otherwise, the first measuring point is controlled to be displayed in a second color in the user interface.

[0219] In an optional manner, when the error value is less than or equal to a first threshold, controlling the first measuring point to be displayed in a first color in the user interface; otherwise, controlling the first measuring point to be displayed in a second color in the user interface further includes:

[0220] When the error value is less than or equal to the first threshold, controlling the first measuring point to be displayed in the first color in the user interface;

[0221] When the error value is greater than a second threshold, controlling the first measuring point to be displayed in a third color in the user interface;

[0222] When the error value is greater than the first threshold and less than or equal to the second threshold, the first measuring point is controlled to be displayed in the second color in the user interface.

[0223] In an optional manner, after the user interface has finished loading all models, the method further includes:

[0224] When the number of measurement points displayed in the second color in the first model exceeds a preset threshold, the first model is controlled to be highlighted in the user interface.

[0225] In an optional manner, the method further includes:

[0226] When the measuring points are continuously distributed and displayed in the same color, the first model is controlled to display a first set including the continuous measuring points, the first set is used to display the correctness of the data of the first model including the continuous measuring points in the linear region, and the first set is displayed in the first color or the second color.

[0227] In an optional manner, after loading the first model including the first measurement point, the method further includes:

[0228] After receiving an operation to view the first measurement point in the first model, the user interface is controlled to display a first card including first data analysis information, where the first data analysis information is generated based on the first data and the second data.

[0229] In an optional manner, the first model further includes a second measuring point, and the data of the second measuring point is acquired in the same manner as that of the first measuring point;

[0230] After the control user interface displays the first card including the first data analysis information, the method further includes:

[0231] After receiving an operation to view the second measuring point in the first model, the user interface is controlled to display a second card including second data analysis information, where the second data analysis information is generated based on the measurement data corresponding to the second measuring point at different stages.

[0232] In an optional manner, after loading the first model including the first measurement point, the method further includes:

[0233] Loading a second model including a third measuring point, where the second model corresponds to a second component, and data of the third measuring point is acquired in the same manner as data of the first measuring point;

[0234] After receiving an operation to view the third measurement point in the second model, the user interface is controlled to display a third card including third data analysis information.

[0235] In an optional manner, the first data is a theoretical measurement value, and the second data is an actual measurement value; obtaining the first data corresponding to the first measurement point in the first stage and the second data corresponding to the second stage further includes:

[0236] During the design phase of the first component, the theoretical measurement values are received and entered into a standard performance table, which is stored in a data platform;

[0237] Reading the standard score sheet to obtain the theoretical measurement value as the first data;

[0238] During the actual measurement phase of the first component, receiving the actual measurement value and filling it into the standard score sheet;

[0239] The standard score sheet is read to obtain the actual measurement value as the second data.

[0240] By applying the technical solution of the present invention, measurement data for comparative analysis can be obtained by acquiring first data and second data; by loading the first model, corresponding measurement points can be loaded through the model, allowing the user to quickly select and determine the first measurement point to be analyzed; by constructing difference information, the first measurement point can be highlighted in the first model, allowing the user to quickly locate the first measurement point and obtain its corresponding difference information; by determining that the error value is less than or equal to a first threshold, the measurement point can be controlled to be displayed in a first color; by determining that the error value is greater than the first threshold and less than or equal to a second threshold, the measurement point can be controlled to be displayed in a second color; by determining that the error value is greater than the first threshold and less than or equal to a second threshold, the measurement point can be controlled to be displayed in a third color, and measurement points of different quality states can be quickly identified. When a product includes multiple component models, component models that do not meet quality requirements are highlighted, allowing engineers to quickly identify the component and perform priority analysis and processing on it, reducing the time consumption of data analysis output, improving data analysis efficiency, and improving the visualization of data analysis.

[0241] The algorithms or displays provided herein are not inherently related to any particular computer, virtual system or other device. In addition, the embodiments of the present invention are not directed to any particular programming language.

[0242] In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the present invention may be practiced without these specific details. Similarly, in order to streamline the present invention and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of embodiments of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. The claims that follow the detailed description are hereby expressly incorporated into that detailed description, with each claim itself serving as a separate embodiment of the present invention.

[0243] Those skilled in the art will appreciate that the modules in the devices of the embodiments can be adaptively changed and installed in one or more devices different from the embodiments. The modules, units, or components in the embodiments can be combined into one module, unit, or component, and furthermore, they can be divided into multiple submodules, subunits, or subcomponents. Except that at least some of such features and / or processes or units are mutually exclusive.

[0244] It should be noted that the above embodiments illustrate rather than limit the invention, and that alternative embodiments may be devised by a person skilled in the art without departing from the scope of the appended claims. In the claims, any reference signs placed between brackets should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising several different elements and by means of appropriately programmed computers. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names. The steps in the above embodiments should not be understood as limiting the order of execution unless otherwise specified.

Claims

1. A data analysis visualization method based on a model, characterized in that: The method comprises: Obtaining first data corresponding to a first measuring point in a first component, the first data being data corresponding to the first measuring point in a first stage, wherein the first data is a theoretical measurement value, and obtaining the first data corresponding to the first measuring point in the first stage further comprises: receiving the theoretical measurement value and entering it into a standard performance table during a design stage of the first component, the standard performance table being stored in a data platform; and reading the standard performance table to obtain the theoretical measurement value as the first data; Obtaining second data corresponding to the first measuring point, the second data being data corresponding to the first measuring point in the second phase, wherein the second data is an actual measurement value; obtaining the second data corresponding to the second phase further comprises: receiving the actual measurement value and entering it into the standard score sheet during the actual measurement phase of the first component; reading the standard score sheet to obtain the actual measurement value as the second data; loading a first model including the first measuring point, where the first model corresponds to the first component; Controlling the first measuring point on the first model to display difference information, where the difference information is generated based on a comparison between the first data and the second data. Controlling the first measuring point on the first model to display the difference information further includes: generating an error value based on the comparison between the first data and the second data; when the error value is less than or equal to a first threshold, controlling the first measuring point to be displayed in a first color in the user interface; otherwise, controlling the first measuring point to be displayed in a second color in the user interface.

2. The model-based data analysis visualization method according to claim 1, characterized in that: When the error value is less than or equal to a first threshold, controlling the first measuring point to be displayed in a first color in the user interface; Otherwise, controlling the first measuring point to be displayed in a second color in the user interface further includes: When the error value is less than or equal to the first threshold, controlling the first measuring point to be displayed in the first color in the user interface; When the error value is greater than a second threshold, controlling the first measuring point to be displayed in a third color in the user interface; When the error value is greater than the first threshold and less than or equal to the second threshold, the first measuring point is controlled to be displayed in the second color in the user interface.

3. The model-based data analysis visualization method according to claim 1, characterized in that: After all models are loaded into the user interface, the method further includes: When the number of measurement points displayed in the second color in the first model exceeds a preset threshold, the first model is controlled to be highlighted in the user interface.

4. The model-based data analysis visualization method according to claim 1, characterized in that: The method further comprises: When the measuring points are continuously distributed and displayed in the same color, the first model is controlled to display a first set including the continuous measuring points, the first set is used to display the correctness of the data of the first model including the continuous measuring points in the linear region, and the first set is displayed in the first color or the second color.

5. The model-based data analysis visualization method according to claim 1, characterized in that: After loading the first model including the first measurement point, the method further includes: After receiving an operation to view the first measurement point in the first model, the user interface is controlled to display a first card including first data analysis information, where the first data analysis information is generated based on the first data and the second data.

6. The model-based data analysis visualization method according to claim 5, characterized in that: The first model further includes a second measuring point, and the data acquisition method of the second measuring point is the same as that of the first measuring point; After the control user interface displays the first card including the first data analysis information, the method further includes: After receiving an operation to view the second measuring point in the first model, the user interface is controlled to display a second card including second data analysis information, where the second data analysis information is generated based on the measurement data corresponding to the second measuring point at different stages.

7. The model-based data analysis visualization method according to claim 5, characterized in that: After the first model including the first measuring point is loaded, the method further includes: Loading a second model including a third measuring point, where the second model corresponds to a second component, and data of the third measuring point is acquired in the same manner as data of the first measuring point; After receiving an operation to view the third measurement point in the second model, the user interface is controlled to display a third card including third data analysis information.

8. A data analysis and visualization device based on a model, characterized in that: The device comprises: A first acquisition module is configured to acquire first data corresponding to a first measuring point in a first component, wherein the first data is data corresponding to the first measuring point in a first stage, wherein the first data is a theoretical measurement value. Acquiring the first data corresponding to the first measuring point in the first stage further comprises: receiving the theoretical measurement value and entering it into a standard performance table during a design stage of the first component, wherein the standard performance table is stored in a data platform; and reading the standard performance table to obtain the theoretical measurement value as the first data. a second acquisition module configured to acquire second data corresponding to the first measuring point, the second data being data corresponding to the first measuring point in the second phase, wherein the second data is an actual measurement value; acquiring the second data corresponding to the second phase further comprising: receiving the actual measurement value during the actual measurement phase of the first component and entering it into the standard score sheet; and reading the standard score sheet to obtain the actual measurement value as the second data; a loading module, configured to load a first model including the first measuring point, wherein the first model corresponds to the first component; a display module, configured to control the first measuring point on the first model to display difference information, the difference information being generated based on a comparison between the first data and the second data, wherein controlling the first measuring point on the first model to display the difference information further comprises: generating an error value based on the comparison between the first data and the second data; and controlling the first measuring point to be displayed in a first color in a user interface when the error value is less than or equal to a first threshold; otherwise, controlling the first measuring point to be displayed in a second color in the user interface.

Images