CN108537866B - Data processing method and device and readable storage medium - Google Patents
Data processing method and device and readable storage medium Download PDFInfo
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- CN108537866B CN108537866B CN201810320939.4A CN201810320939A CN108537866B CN 108537866 B CN108537866 B CN 108537866B CN 201810320939 A CN201810320939 A CN 201810320939A CN 108537866 B CN108537866 B CN 108537866B
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Abstract
The embodiment of the invention provides a data processing method, a data processing device and a readable storage medium, which are applied to electronic equipment. The electronic equipment displays a 3D graph generated based on the current business data set, and digital fingerprints and vertex data corresponding to each group of business data in the current business data set are stored in advance in the electronic equipment. The method comprises the following steps: when detecting that the electronic equipment newly adds at least one group of service data, adding the newly added at least one group of service data into a current service data set; aiming at each group of service data in the service data set, converting the group of service data into a digital fingerprint by utilizing a hash function; judging whether the digital fingerprint is a pre-stored digital fingerprint or not, and obtaining vertex data corresponding to each group of service data according to the judgment result; and re-rendering the 3D graphics based on the vertex data corresponding to each group of service data. Therefore, the conversion speed from the service data to the 3D graph is increased, and the dynamic modeling effect performance of the 3D model is greatly improved.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a data processing method, an apparatus, and a readable storage medium.
Background
In recent years, people have more and more benefits brought by big data, and people can predict the trend of future data through statistics of historical data so as to deal with various accidents. The data visualization benefit is usually from real-time display of data, real-time data are obtained through real-time data statistics so as to reflect the development state of the actual event at the current moment, predict the possible development direction of the actual event and finally decide the optimal event solution.
The 3D data visualization is to display the statistical result of the data in a 3D graph form by utilizing the drawing capability of a computer 3D graph, the obtained result has more expression forms than the traditional 2D and 2.5D, and the display result is more vivid and more easily accepted by human brain through good design. Therefore, how to efficiently and accurately realize the dynamic modeling effect of the 3D model in order to express the change of data in real time in 3D data visualization becomes an urgent problem to be solved in the field of 3D data visualization.
Disclosure of Invention
In order to overcome the above-mentioned deficiencies in the prior art, the present invention provides a data processing method, an apparatus and a readable storage medium, so as to solve or improve the above-mentioned problems.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical solutions:
in a first aspect, an embodiment of the present invention provides a data processing method applied to an electronic device, where a 3D graph generated based on a current service data set is displayed on the electronic device, where the electronic device stores in advance digital fingerprints and vertex data corresponding to each group of service data in the current service data set, and the method includes:
when detecting that the electronic equipment newly adds at least one group of service data, adding the newly added at least one group of service data into a current service data set;
aiming at each group of service data in the service data set, converting the group of service data into a digital fingerprint by utilizing a hash function;
judging whether the digital fingerprint is a pre-stored digital fingerprint or not, and obtaining vertex data corresponding to each group of service data according to the judgment result;
and re-rendering the 3D graphics based on the vertex data corresponding to each group of service data.
Optionally, the step of determining whether the digital fingerprint is a pre-stored digital fingerprint, and obtaining vertex data corresponding to each group of service data according to the determination result includes:
if the digital fingerprint is a pre-stored digital fingerprint, reusing the vertex data corresponding to the pre-stored digital fingerprint as the vertex data of the service data;
if the digital fingerprint is not the pre-stored digital fingerprint, recalculating the vertex data of the service data through a data conversion function.
Optionally, before the step of adding the at least one set of newly added service data to the current service data set when it is detected that the electronic device newly adds the at least one set of newly added service data, the method further includes:
performing vertex data operation on each group of current service data to obtain digital fingerprints and vertex data corresponding to each group of service data;
and storing the digital fingerprints and the vertex data corresponding to each group of service data obtained by operation.
Optionally, after the step of re-rendering the 3D graphics based on the vertex data corresponding to each set of service data, the method further includes:
and aiming at each group of service data, when the vertex data corresponding to the group of service data is dynamically changed, rendering the visual change effect corresponding to the 3D graph.
Optionally, the service data is 3D visualization data.
In a second aspect, an embodiment of the present invention further provides a data processing apparatus, which is applied to an electronic device, where a 3D graph generated based on a current service data set is displayed on the electronic device, where the electronic device stores in advance digital fingerprints and vertex data corresponding to each group of service data in the current service data set, and the apparatus includes:
the adding module is used for adding at least one group of newly added service data into the current service data set when detecting that the electronic equipment newly adds at least one group of service data;
the conversion module is used for converting each group of service data in the service data set into a digital fingerprint by utilizing a hash function;
the judging module is used for judging whether the digital fingerprint is a pre-stored digital fingerprint or not and obtaining vertex data corresponding to each group of service data according to the judgment result;
and the rendering module is used for re-rendering the 3D graphics based on the vertex data corresponding to each group of service data.
In a third aspect, an embodiment of the present invention further provides a readable storage medium, where a computer program is stored, and when the computer program is executed, the data processing method is implemented.
Compared with the prior art, the invention has the following beneficial effects:
the embodiment of the invention provides a data processing method, a device and a readable storage medium, and the method comprises the steps of firstly, adding at least one group of newly added service data into a current service data set when detecting that the electronic equipment newly adds at least one group of service data, then, converting the group of service data into a digital fingerprint by utilizing a hash function aiming at each group of service data in the service data set, then judging whether the digital fingerprint is a pre-stored digital fingerprint, obtaining vertex data corresponding to each group of service data according to a judgment result, and finally, re-rendering a 3D graph based on the vertex data corresponding to each group of service data. Therefore, the input business data are converted into the digital fingerprints by utilizing the Hash function, and then whether the vertex data are recalculated is determined by judging the digital fingerprints, so that the calculation amount of the vertex data when the business data change can be reduced, and the conversion speed from the business data to the 3D graph is increased because the calculation amount of the part is the maximum performance overhead of the 3D data visualization business layer, so that the purpose of improving the dynamic modeling effect performance of the 3D model is achieved. The conversion process of the service data into the 3D effect becomes more fluid and real-time for the user.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic diagram illustrating a dynamic effect change of service data in the prior art;
fig. 2a, fig. 2b, and fig. 2c are schematic diagrams of a service scenario in the prior art;
FIG. 3 is a schematic block diagram of an electronic device for implementing a data processing method according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating a data processing method according to an embodiment of the present invention;
fig. 5a and 5b are schematic views of service scenarios of a data processing method according to an embodiment of the present invention.
Icon: 100-an electronic device; 110-a memory; 120-a processor; 200-a data processing apparatus; 201-an operation module; 202-a storage module; 210-add module; 220-a transformation module; 230-a judgment module; 240-rendering module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, 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, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In recent years, people have more and more benefits brought by big data, and people can predict the trend of future data through statistics of historical data so as to deal with various accidents. The data visualization benefit is usually from real-time display of data, real-time data are obtained through real-time data statistics so as to reflect the development state of the actual event at the current moment, predict the possible development direction of the actual event and finally decide the optimal event solution.
The 3D data visualization is to display the statistical result of the data in a 3D graph form by utilizing the drawing capability of a computer 3D graph, the obtained result has more expression forms than the traditional 2D and 2.5D, and the display result is more vivid and more easily accepted by human brain through good design. Therefore, how to efficiently and accurately realize the dynamic modeling effect of the 3D model in order to express the change of data in real time in 3D data visualization becomes an urgent problem to be solved in the field of 3D data visualization.
Before discussing the dynamic effect of the 3D model, the service data and the 3D model are first described, for example, as shown in fig. 1, assuming that there is service data as room temperature now and the 3D model is a sphere, the sphere will become larger as the room temperature increases and smaller as the room temperature decreases. At this time, it is necessary to solve the problem that the dynamic effect of the 3D model (i.e., the sphere) changes based on the indoor temperature, which is the traffic data.
In the existing technical scheme, when the indoor temperature changes in fig. 1, all vertex data of the sphere are recalculated, and then the whole picture is redrawn. If the FPS is 60, then it is possible that 60 operations per second are required for room temperature to get all the vertex data for the corresponding sphere.
Fps (frames Per second), i.e. the number of redraws of a picture Per second. Generally, the higher the FPS, the higher the smoothness of the dynamic effect of the whole picture.
In the process of implementing the technical solution of the present application, the inventor finds that for the above-mentioned scene in which the indoor temperature corresponds to the size of the sphere, when slightly complex business data corresponds to the 3D model, the disadvantage becomes obvious. For example, in a real business scenario, there are rarely simple scenarios as shown in fig. 1. As shown in fig. 2, assuming that the service data are A, B, C, D four cartons respectively, and the corresponding 3D model is 4 end-to-end cubes, when a carton X is inserted into A, B, C, D four cartons, the service data is changed to A, B, X, C, D, and here, assuming that the insertion of X does not change the position of A, B, only C, D is moved backward, and then the corresponding 3D rendering result should be 5 end-to-end cubes.
Referring to fig. 3 and 4, according to the above mentioned prior art, all vertex data of 5 end-to-end cubes are recalculated according to A, B, X, C, D set of business data, and then the picture is redrawn as a whole. The vertex data is data composed of a plurality of vertexes, and all the vertexes are connected according to a certain rule to form a graph. Each vertex is a point in space, usually expressed as its coordinates, two points may determine a straight line, and three points may determine a plane, but in 3D data visualization, usually a vertex contains data that is not only coordinates, but also contains other attributes that are needed in rendering, such as color, normal, texture, etc.
However, since there is no adjustment of A, B to the two traffic data, recalculation of the vertex data from A, B, X, C, D of the entire set of data would result in unnecessary loss, i.e., unnecessary operations on A, B.
The above prior art solutions have shortcomings which are the results of practical and careful study of the inventor, and therefore, the discovery process of the above problems and the solutions proposed by the following embodiments of the present invention to the above problems should be the contribution of the inventor to the present invention in the course of the present invention.
In order to solve the above problems, the inventors of the present application have made long-term studies and propose a data processing method, apparatus and readable storage medium, which convert input service data into digital fingerprints by using a hash function, and then determine whether to perform vertex data recalculation by judging the digital fingerprints, so as to reduce the calculation amount of the vertex data when the service data changes, and since the calculation amount of this part is the maximum performance overhead of a 3D data visualization service level, the conversion speed between the service data and a 3D graph is increased, so as to achieve the purpose of improving the performance of a dynamic modeling effect of a 3D model. The conversion process of the service data into the 3D effect becomes more fluid and real-time for the user.
Referring to fig. 3, a block diagram illustrating a structure of an electronic device 100 for implementing a data processing method according to an embodiment of the present invention is shown. In this embodiment, the electronic device 100 includes a data processing apparatus 200, a memory 110, and a processor 120. In the embodiment of the present invention, the data processing apparatus 200 includes at least one software functional module which can be stored in the memory 110 in the form of software or Firmware (Firmware) or solidified in an Operating System (OS) of the electronic device 100. The processor 120 is used for executing executable software modules stored in the memory 110, such as software functional modules and computer programs included in the data processing device 200. In this embodiment, the data processing apparatus 200 may also be integrated into the operating system as a part of the operating system. Specifically, the data processing apparatus 200 may include:
an adding module 210, configured to add at least one new set of service data to a current service data set when it is detected that at least one new set of service data is added to the electronic device 100.
A converting module 220, configured to, for each group of service data in the service data set, convert the group of service data into a digital fingerprint by using a hash function.
The determining module 230 is configured to determine whether the digital fingerprint is a pre-stored digital fingerprint, and obtain vertex data corresponding to each group of service data according to the determination result.
In this embodiment, if the digital fingerprint is a pre-stored digital fingerprint, the vertex data corresponding to the pre-stored digital fingerprint is multiplexed as the vertex data of the service data, and if the digital fingerprint is not a pre-stored digital fingerprint, the vertex data of the service data is recalculated by a data conversion function.
And a rendering module 240, configured to re-render the 3D graphics based on the vertex data corresponding to each group of service data.
Optionally, the apparatus may further include:
the operation module 201 is configured to perform vertex data operation on each current group of service data to obtain a digital fingerprint and vertex data corresponding to each group of service data;
the storage module 202 is configured to store the digital fingerprints and the vertex data corresponding to each set of service data obtained through the operation.
Optionally, the rendering module 240 may be further configured to, for each group of service data, render a visual change effect corresponding to the 3D graphics when vertex data corresponding to the group of service data changes dynamically.
Referring to fig. 4, a flowchart of a data processing method according to an embodiment of the present invention is shown, where the method is executed by the electronic device 100 shown in fig. 3, and each software functional module of the data processing apparatus 200 is described in detail below with reference to fig. 4. It should be noted that the data processing method provided by the embodiment of the present invention is not limited by the specific sequence shown in fig. 4 and described below. The method comprises the following specific steps:
step S210, when it is detected that at least one new set of service data is added to the electronic device 100, adding the at least one new set of service data to the current service data set.
In this embodiment, the electronic device 100 displays a 3D graph generated based on a current service data set, where the electronic device 100 stores in advance digital fingerprints and vertex data corresponding to each group of service data in the current service data set, that is, each vertex data has a digital fingerprint corresponding to one. Specifically, before the step S210, the electronic device 100 may perform vertex data operation on each current group of service data to obtain a digital fingerprint and vertex data corresponding to each group of service data, and store the digital fingerprint and vertex data corresponding to each group of service data obtained through operation. For example, referring to FIG. 5a, illustrated by the example of A, B, C, D four cartons mentioned in the above prior art shortcomings, when vertex data is first computed on this data, each carton will compute two types of data: one is the digital fingerprint corresponding to the service data, and the other is the vertex data obtained by the operation of the service data, wherein the digital fingerprint and the vertex data are in one-to-one correspondence.
In actual implementation, when it is detected that at least one new set of service data is added to the electronic device 100, the at least one new set of service data is added to the current service data set. For example, as shown in FIG. 5a, when carton X is inserted at A, B, C, D, a new service data set of A, B, X, C, D results.
The service data is 3D visualization data, such as temperature data.
Step S220, for each group of service data in the service data set, converting the group of service data into a digital fingerprint by using a hash function.
In the prior art, after inserting new service data X, generally, the vertex data of A, B, X, C, D needs to be recalculated one by one, and in this embodiment, for each group of service data A, B, X, C, D in the service data set, a hash function is used to convert the group of service data into a digital fingerprint, that is, a digital fingerprint corresponding to A, B, X, C, D is obtained. The hash function is a method of creating a small digital "fingerprint" from any kind of data.
Step S230, determining whether the digital fingerprint is a pre-stored digital fingerprint, and obtaining vertex data corresponding to each group of service data as a result of the determination.
In this embodiment, the digital fingerprints corresponding to these service data are calculated A, B, X, C, D according to the above step S230, and if the digital fingerprint is a pre-stored digital fingerprint, the vertex data corresponding to the pre-stored digital fingerprint is multiplexed as the vertex data of the service data, and if the digital fingerprint is not a pre-stored digital fingerprint, the vertex data of the service data is recalculated by a data conversion function. That is, when the digital fingerprint matches the fingerprint corresponding to the currently operated vertex data, the corresponding vertex data is directly multiplexed, instead of recalculating the vertex data. In this way, as shown in fig. 5b, the vertex data corresponding to A, B service data can be directly multiplexed, and since the input of X service data is completely consistent with the input of original C service data, the obtained digital fingerprints are also completely consistent, so the vertex data corresponding to X service data can be directly multiplexed with the vertex data of original C service data, and based on this scheme, only the C service data and the D service data need to be recalculated with the vertex data.
And step S240, re-rendering the 3D graphics based on the vertex data corresponding to each group of service data.
In this embodiment, whether to perform vertex data recalculation is determined by judging the digital fingerprint, and the 3D graph is rendered again based on the vertex data corresponding to each group of service data, so that the calculation amount of the vertex data when the service data changes can be reduced, and since the calculation amount of this part is the maximum performance overhead of the 3D data visualization service layer, the conversion speed between the service data and the 3D graph is increased, and the purpose of improving the dynamic modeling effect performance of the 3D model is achieved.
Optionally, for each group of service data, when vertex data corresponding to the group of service data dynamically changes, the electronic device 100 may render a visual change effect corresponding to the 3D graphic, where the visual change effect is an effect of visually changing the 3D graphic finally presented on the electronic device 100 by continuously and dynamically changing the vertex data.
Further, a readable storage medium is provided in a preferred embodiment of the present invention, and a computer program is stored in the readable storage medium, and the computer program implements the data processing method when running.
In summary, embodiments of the present invention provide a data processing method, an apparatus, and a readable storage medium, where first, when it is detected that at least one set of service data is newly added to an electronic device, the newly added at least one set of service data is added to a current service data set, then, for each set of service data in the service data set, a hash function is used to convert the set of service data into a digital fingerprint, and then, it is determined whether the digital fingerprint is a pre-stored digital fingerprint, and a result of the determination is obtained as vertex data corresponding to each set of service data, and finally, a 3D graph is re-rendered based on the vertex data corresponding to each set of service data. Therefore, the input business data are converted into the digital fingerprints by utilizing the Hash function, and then whether the vertex data are recalculated is determined by judging the digital fingerprints, so that the calculation amount of the vertex data when the business data change can be reduced, and the conversion speed from the business data to the 3D graph is increased because the calculation amount of the part is the maximum performance overhead of the 3D data visualization business layer, so that the purpose of improving the dynamic modeling effect performance of the 3D model is achieved. The conversion process of the service data into the 3D effect becomes more fluid and real-time for the user.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, system, and method may be implemented in other ways. The apparatus, system, and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
Alternatively, all or part of the implementation may be in software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (8)
1. A data processing method is applied to electronic equipment, wherein a 3D graph generated based on a current business data set is displayed on the electronic equipment, digital fingerprints and vertex data corresponding to each group of business data in the current business data set are stored in the electronic equipment in advance, and the method comprises the following steps:
when detecting that the electronic equipment newly adds at least one group of service data, adding the newly added at least one group of service data into a current service data set;
aiming at each group of service data in the service data set, converting the group of service data into a digital fingerprint by utilizing a hash function;
judging whether the digital fingerprint is a pre-stored digital fingerprint or not, and obtaining vertex data corresponding to each group of service data according to the judgment result;
the step of judging whether the digital fingerprint is a pre-stored digital fingerprint and obtaining the vertex data corresponding to each group of service data according to the judgment result comprises the following steps:
if the digital fingerprint is a pre-stored digital fingerprint, reusing the vertex data corresponding to the pre-stored digital fingerprint as the vertex data of the service data;
if the digital fingerprint is not the pre-stored digital fingerprint, recalculating the vertex data of the service data through a data conversion function;
and re-rendering the 3D graphics based on the vertex data corresponding to each group of service data.
2. The data processing method of claim 1, wherein before the step of adding at least one set of added service data to a current service data set when the electronic device is detected to add at least one set of added service data, the method further comprises:
performing vertex data operation on each group of current service data to obtain digital fingerprints and vertex data corresponding to each group of service data;
and storing the digital fingerprints and the vertex data corresponding to each group of service data obtained by operation.
3. The data processing method of claim 1, wherein after the step of re-rendering the 3D graphics based on the vertex data corresponding to each set of business data, the method further comprises:
and aiming at each group of service data, when the vertex data corresponding to the group of service data is dynamically changed, rendering the visual change effect corresponding to the 3D graph.
4. The data processing method of claim 1, wherein the business data is 3D visualization data.
5. A data processing device is applied to an electronic device, wherein a 3D graph generated based on a current business data set is displayed on the electronic device, digital fingerprints and vertex data corresponding to each group of business data in the current business data set are prestored in the electronic device, and the device comprises:
the adding module is used for adding at least one group of newly added service data into the current service data set when detecting that the electronic equipment newly adds at least one group of service data;
the conversion module is used for converting each group of service data in the service data set into a digital fingerprint by utilizing a hash function;
the judging module is used for judging whether the digital fingerprint is a pre-stored digital fingerprint or not and obtaining vertex data corresponding to each group of service data according to the judgment result;
the method for judging whether the digital fingerprint is a pre-stored digital fingerprint and obtaining the vertex data corresponding to each group of service data according to the judgment result comprises the following steps:
if the digital fingerprint is a pre-stored digital fingerprint, reusing the vertex data corresponding to the pre-stored digital fingerprint as the vertex data of the service data;
if the digital fingerprint is not the pre-stored digital fingerprint, recalculating the vertex data of the service data through a data conversion function;
and the rendering module is used for re-rendering the 3D graphics based on the vertex data corresponding to each group of service data.
6. The data processing apparatus of claim 5, wherein the apparatus further comprises:
the operation module is used for carrying out vertex data operation on each group of current service data to obtain digital fingerprints and vertex data corresponding to each group of service data;
and the storage module is used for storing the digital fingerprints and the vertex data corresponding to each group of service data obtained by operation.
7. The data processing apparatus of claim 5, wherein:
and the rendering module is further configured to render a visual change effect corresponding to the 3D graph for each group of service data when vertex data corresponding to the group of service data is dynamically changed.
8. A readable storage medium, characterized in that a computer program is stored therein, which computer program, when executed, implements the data processing method of any one of claims 1-4.
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