CN113515837B - Method and device for establishing simulation test platform and electronic equipment - Google Patents
Method and device for establishing simulation test platform and electronic equipment Download PDFInfo
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Abstract
The application discloses a method and a device for establishing a simulation test platform and electronic equipment, which are used for solving the problems of poor simulation test effect and poor universality of the existing communication software simulation test platform. The method comprises the following steps: constructing a three-dimensional model of the terminal equipment based on the geometric structure and shape parameters of the terminal equipment in the physical entity world; constructing a three-dimensional model of the edge server based on the geometric structure and shape parameters of the edge server in the physical entity world; generating a digital twin model of the terminal equipment based on the application use condition data of the terminal equipment and the three-dimensional model of the terminal equipment; generating an edge server digital twin model based on the capability feature data of the edge server and the three-dimensional model of the edge server; and establishing a simulation test platform based on the terminal equipment digital twin model and the edge server digital twin model.
Description
Technical Field
The application belongs to the technical field of wireless communication, and particularly relates to a method and a device for establishing a simulation platform and electronic equipment.
Background
With the high deployment of the internet of things devices and terminal devices, network communication technologies are providing services for a large number of terminal devices with different functions. In order to provide better quality of service to terminal devices, a simulation test platform is typically built to simulate testing intelligent algorithms deployed at the network edge.
The existing communication software simulation test platform simulates a network environment mainly by constructing a mathematical model and fitting communication characteristics. On one hand, the existing communication software simulation test platform lacks interaction with the real world, and the simulated network environment is different from the real world network environment; on the other hand, the existing communication software simulation test platform is difficult to simulate personalized terminal equipment. In conclusion, the simulation test effect of the conventional communication software simulation test platform is poor, and universality is poor.
Disclosure of Invention
The embodiment of the application aims to provide a method and a device for establishing a simulation platform and electronic equipment, which can solve the problems of poor simulation test effect and poor universality of the existing communication software simulation test platform.
In order to solve the technical problems, the application is realized as follows:
In a first aspect, an embodiment of the present application provides a method for establishing a simulation test platform, where the method includes:
Constructing a three-dimensional model of the terminal equipment based on the geometric structure and shape parameters of the terminal equipment in the physical entity world; and
Constructing a three-dimensional model of an edge server based on geometric structures and shape parameters of the edge server in the physical entity world;
Generating a digital twin model of the terminal equipment based on the application use condition data of the terminal equipment and the three-dimensional model of the terminal equipment, wherein the application use condition data is obtained by monitoring the terminal equipment; and
Generating an edge server digital twin model based on the capability feature data of the edge server and the three-dimensional model of the edge server, wherein the capability feature data is obtained by monitoring the edge server;
And establishing a simulation test platform based on the terminal equipment digital twin model and the edge server digital twin model.
In a second aspect, an embodiment of the present application provides an apparatus for establishing a simulation test platform, where the apparatus includes:
the three-dimensional model construction module is used for constructing a three-dimensional model of the terminal equipment based on the geometric structure and the shape parameters of the terminal equipment in the physical entity world; and
Constructing a three-dimensional model of an edge server based on geometric structures and shape parameters of the edge server in the physical entity world;
the digital twin model generation module is used for generating a digital twin model of the terminal equipment based on application use condition data of the terminal equipment and the three-dimensional model of the terminal equipment, wherein the application use condition data is obtained by monitoring the terminal equipment; and
Generating an edge server digital twin model based on the capability feature data of the edge server and the three-dimensional model of the edge server, wherein the capability feature data is obtained by monitoring the edge server;
The simulation test platform building module is used for building a simulation test platform based on the terminal equipment digital twin model and the edge server digital twin model.
In a third aspect, an electronic device is presented, the electronic device comprising:
A processor; and
A memory arranged to store computer executable instructions that, when executed, cause the processor to:
Constructing a three-dimensional model of the terminal equipment based on the geometric structure and shape parameters of the terminal equipment in the physical entity world; and
Constructing a three-dimensional model of an edge server based on geometric structures and shape parameters of the edge server in the physical entity world;
Generating a digital twin model of the terminal equipment based on the application use condition data of the terminal equipment and the three-dimensional model of the terminal equipment, wherein the application use condition data is obtained by monitoring the terminal equipment; and
Generating an edge server digital twin model based on the capability feature data of the edge server and the three-dimensional model of the edge server, wherein the capability feature data is obtained by monitoring the edge server;
And establishing a simulation test platform based on the terminal equipment digital twin model and the edge server digital twin model.
In a fourth aspect, a computer-readable storage medium storing one or more programs that, when executed by an electronic device comprising a plurality of application programs, cause the electronic device to:
Constructing a three-dimensional model of the terminal equipment based on the geometric structure and shape parameters of the terminal equipment in the physical entity world; and
Constructing a three-dimensional model of an edge server based on geometric structures and shape parameters of the edge server in the physical entity world;
Generating a digital twin model of the terminal equipment based on the application use condition data of the terminal equipment and the three-dimensional model of the terminal equipment, wherein the application use condition data is obtained by monitoring the terminal equipment; and
Generating an edge server digital twin model based on the capability feature data of the edge server and the three-dimensional model of the edge server, wherein the capability feature data is obtained by monitoring the edge server;
And establishing a simulation test platform based on the terminal equipment digital twin model and the edge server digital twin model.
By adopting the method for establishing the simulation test platform provided by the embodiment of the specification, the three-dimensional model of the terminal equipment can be constructed based on the geometric structure and the shape parameters of the terminal equipment in the physical entity world; constructing a three-dimensional model of the edge server based on the geometric structure and the shape parameters of the edge server in the physical entity world; generating a digital twin model of the terminal equipment based on application use condition data of the terminal equipment and a three-dimensional model of the terminal equipment, wherein the application use condition data is obtained by monitoring the terminal equipment; generating an edge server digital twin model based on the capability feature data of the edge server and a three-dimensional model of the edge server, wherein the capability feature data is obtained by monitoring the edge server; and finally, establishing a simulation test platform based on the terminal equipment digital twin model and the edge server digital twin model. The digital twin technology can be utilized, namely, the data of the physical entity world can be obtained in real time, and a reference is provided for updating the physical entity world, so that the simulation test platform provided by the specification is closer to the physical entity world, and the simulation test effect is improved.
Drawings
FIG. 1 is a schematic implementation flow chart of a method for establishing a simulation test platform according to an embodiment of the present application;
FIG. 2 is a schematic diagram of the architecture of a digital twin world and a physical entity world in the method for establishing a simulation test platform according to the embodiment of the present application;
FIG. 3 is a schematic diagram of a specific flow of a method for establishing a simulation test platform in an actual application according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a device for establishing a simulation test platform according to an embodiment of the present application;
fig. 5 is a schematic hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The terms first, second and the like in the description and in the claims, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the application may be practiced otherwise than as specifically illustrated or described herein. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/", generally means that the associated object is an "or" relationship.
It should be noted that, in the method for establishing a simulation test platform provided by the embodiment of the present application, the execution body may be an establishing device of the simulation test platform, or a control module in the establishing device of the simulation test platform for executing the method for establishing the loading simulation test platform. In the embodiment of the application, the method for establishing the loading simulation test platform by using the device for establishing the simulation test platform is taken as an example, and the device for establishing the simulation test platform provided by the embodiment of the application is explained.
The method for establishing the simulation test platform provided by the embodiment of the specification is described in detail below through specific embodiments and application scenes thereof with reference to the accompanying drawings.
Step 110, constructing a three-dimensional model of the terminal equipment based on the geometric structure and shape parameters of the terminal equipment in the physical entity world; and constructing a three-dimensional model of the edge server based on the geometry and shape parameters of the edge server in the physical entity world.
The three-dimensional model can also comprise outdoor physical entities such as vehicles, lanes, buildings, trees and the like, indoor physical entities such as walls, columns, doors and windows, roofs, stairs, table and chair furniture and the like of the buildings, communication equipment such as base stations, servers, sensors and the like, and people.
Step 120, generating a digital twin model of the terminal equipment based on application use condition data of the terminal equipment and a three-dimensional model of the terminal equipment, wherein the application use condition data is obtained by monitoring the terminal equipment; and generating a digital twin model of the edge server based on the capability feature data of the edge server and the three-dimensional model of the edge server, wherein the capability feature data is obtained by monitoring the edge server.
The digital twin model is based on the digital model of the physical entity object in the physical entity world, and senses, diagnoses and predicts the state of the physical entity object in real time through real-time testing, simulation and data analysis. When the algorithm in the digital twinning model is superior to the algorithm in the physical entity world, the algorithm in the digital twinning model may be applied to the physical entity world to optimize the federal learning model in the physical entity world. The digital twin model has the following characteristics:
dynamic properties: the digital virtual body constructed in the digital space is very similar to the physical entity of the physical space, but is not just a mirror image of the physical entity world, but also accepts real-time information of the physical entity world, and in turn drives the physical entity world in real time, that is, the digital twin model is dynamic.
Bidirectional: the data flow between the ontology in the physical entity world and the twin in the digital twin model is bi-directional. The ontology in the physical entity world can output data to the twin in the digital twin model, and the twin in the digital twin model can also feed back information to the ontology in the physical entity world. For example, a decision maker may take some intervention operations on the ontology in the physical entity world to optimize the behavior of the ontology in the physical entity world based on the information fed back by the twin in the digital twin model.
Fig. 2 is a schematic diagram of a digital twin world and a physical entity world in a method for establishing a simulation test platform according to an embodiment of the present application, where related communication data may be acquired through data flow interaction between the physical entity world and the digital twin world and stored in databases of the physical entity world and the digital twin world.
The physical entity world can provide training data and real-time monitoring data for the digital twin world, and the training data and the real-time monitoring data comprise four types of environment information, user information, network information and service information. The environment information comprises information such as wireless propagation environment, spectrum detection, channel information, transmission power and the like. The user information includes information such as user preferences, user demands, user intentions, geographical information, and movement information. The service information may refer to the type of service provided by the wireless network to the end user and the corresponding performance requirements. The network information may include network type, network topology, interface protocols, available resources, network traffic, etc. messages affecting the network operating state of the end-to-end transmission performance. Meanwhile, the digital twin world can also feed back the environment information, the user information, the network information, the service information and the real-time performance in the constructed digital twin world to the physical entity world.
Optionally, generating the edge server digital twin model based on the capability feature data of the edge server and the three-dimensional model of the edge server includes:
Generating a first data analysis neural network model based on application use condition data of the terminal equipment, wherein the first data analysis neural network model is used for predicting preference use conditions of the application of the terminal equipment by a user;
and packaging the first data analysis neural network model into a three-dimensional model of the terminal equipment to generate a digital twin model of the terminal equipment.
The first data analysis neural network model can be obtained by analyzing relation training among geographic positions (business areas, office buildings and residential buildings), time periods and video content browsed by users (education, science and technology, entertainment and the like) through an unsupervised learning algorithm such as clustering. The first data analysis neural network model is used for analyzing the inherent association relationship among user information, browsing content, time and geographic position to determine the preference use condition of the application of the terminal equipment by the user.
And after the first data analysis neural network model is packaged into the three-dimensional model of the terminal equipment and the digital twin model of the terminal equipment is generated, some characteristic parameters in the terminal equipment or the edge server can be adjusted to simulate the characteristic parameters corresponding to different types of users of the terminal equipment. For example, the user ages in the user data of the terminal device may be set to simulate the preferences of users of different ages.
Optionally, generating the edge server digital twin model based on the capability feature data of the edge server and the three-dimensional model of the edge server includes:
generating a second data analysis neural network model based on the capability feature data, the second data analysis neural network model being used to predict the capability features of the edge server;
And packaging the second data analysis neural network model into the three-dimensional model of the edge server to generate a digital twin model of the edge server.
The second data analysis neural network model is used for analyzing the relation between the transmission signal intensity of the edge server and the shielding object. The relation between the transmitted signal intensity of the edge server and the obstruction can be analyzed by collecting the transmitted signal intensity of the edge server, the received signal intensity of the intermediate obstruction (vehicle, building, etc.), and by using an unsupervised learning algorithm such as clustering.
Optionally, after generating the edge server digital twin model, the method provided by the embodiment of the present specification further includes:
Acquiring a plurality of first hot content prediction models of a plurality of terminal equipment digital twin models, wherein one terminal equipment digital twin model corresponds to one first hot content prediction model, and the first hot content prediction model is generated based on a first data analysis neural network model and preset characteristic parameters in the terminal equipment digital twin model;
aggregating a plurality of first hot content prediction models to obtain a second hot content prediction model corresponding to the area to which the edge server belongs;
And performing simulation test on the second hot content prediction model to determine the prediction effects of the first hot content prediction models and the second hot content prediction models.
Optionally, before acquiring the plurality of first hot content prediction models of the plurality of terminal device digital twin models, the method provided by the embodiment of the present disclosure further includes:
Acquiring a hot content global model from the edge server digital twin model;
And generating a first hot content prediction model of the digital twin model of the terminal equipment based on the hot content global model, the first data analysis neural network model in the digital twin model of the terminal equipment and preset characteristic parameters of the digital twin model of the terminal equipment.
The hot content global model is an untrained hot content prediction model.
The first hot content prediction model can be used for deploying digital twin bodies of objects such as an edge server, user equipment and the like in a simulation test platform to build a simulation test environment. The video content browsed by the user on the terminal device may be predicted by the first data analysis neural network model based on the relationship between the geographic location of the user, the time period, and the video content browsed by the user.
Optionally, to determine the prediction effects of the plurality of first and second popular content prediction models, performing a simulation test on the second popular content prediction model to determine the prediction effects of the plurality of first and second popular content prediction models, including:
Predicting a plurality of content samples to be tested based on the second popular content prediction model and the plurality of content samples to be tested to determine at least one popular content in the plurality of content samples to be tested, wherein the plurality of content samples to be tested comprise at least one preset popular content sample;
And determining the effect of the second popular content prediction model according to the at least one popular content and the at least one preset popular content sample.
Optionally, after performing the simulation test on the second hot content prediction model, the method provided by the embodiment of the present specification further includes:
and if the accuracy of the second popular content prediction model is higher than that of the third popular content prediction model generated by the corresponding edge server in the physical entity world, updating the third popular content prediction model based on the second popular content prediction model.
And 130, establishing a simulation test platform based on the digital twin model of the terminal equipment and the digital twin model of the edge server.
Based on the terminal equipment digital twin model and the edge server digital twin model, a simulation test platform is built, and the built simulation test platform can be used for building a simulation test environment in a virtual space, deploying equipment and realizing simulation test of an edge intelligent algorithm. Such as federal learning simulation tests, which are shown in fig. 3. A user terminal such as a smart phone, a notebook computer, and an edge server are deployed in the edge scene. The user terminal downloads the global model from the edge server and trains using the local data. After several rounds of updating, the result is uploaded to an edge server for global aggregation, and a simulation test platform is established.
By adopting the method for establishing the simulation test platform provided by the embodiment of the specification, the three-dimensional model of the terminal equipment can be constructed based on the geometric structure and the shape parameters of the terminal equipment in the physical entity world; constructing a three-dimensional model of the edge server based on the geometric structure and the shape parameters of the edge server in the physical entity world; generating a digital twin model of the terminal equipment based on application use condition data of the terminal equipment and a three-dimensional model of the terminal equipment, wherein the application use condition data is obtained by monitoring the terminal equipment; generating an edge server digital twin model based on the capability feature data of the edge server and a three-dimensional model of the edge server, wherein the capability feature data is obtained by monitoring the edge server; and finally, establishing a simulation test platform based on the terminal equipment digital twin model and the edge server digital twin model. The digital twin technology can be utilized, namely, the data of the physical entity world can be obtained in real time, and a reference is provided for updating the physical entity world, so that the simulation test platform provided by the specification is closer to the physical entity world, and the simulation test effect is improved.
The embodiment of the application also provides a device 400 for establishing the simulation test platform, as shown in fig. 4, which comprises:
A three-dimensional model construction module 401, configured to construct a three-dimensional model of a terminal device based on geometric structures and shape parameters of the terminal device in a physical entity world; and
Constructing a three-dimensional model of an edge server based on geometric structures and shape parameters of the edge server in the physical entity world;
A digital twin model generating module 402, configured to generate a digital twin model of a terminal device based on application usage data of the terminal device and a three-dimensional model of the terminal device, where the application usage data is obtained by monitoring the terminal device; and
Generating an edge server digital twin model based on the capability feature data of the edge server and the three-dimensional model of the edge server, wherein the capability feature data is obtained by monitoring the edge server;
And the simulation test platform establishing module 403 is configured to establish a simulation test platform based on the terminal device digital twin model and the edge server digital twin model.
Optionally, in one embodiment, the digital twin model generating module 402 is configured to:
generating a first data analysis neural network model based on application use condition data of the terminal equipment, wherein the first data analysis neural network model is used for predicting preference use conditions of a user on the application of the terminal equipment;
And packaging the first data analysis neural network model into a three-dimensional model of the terminal equipment to generate the digital twin model of the terminal equipment.
Optionally, in one embodiment, the digital twin model generating module 402 is configured to:
Generating a second data analysis neural network model based on the capability feature data, the second data analysis neural network model being used to predict the capability features of the edge server;
And packaging the second data analysis neural network model into the three-dimensional model of the edge server to generate the digital twin model of the edge server.
Optionally, in one embodiment, after the digital twin model generating module 402 generates the edge server digital twin model, the apparatus further includes:
the model acquisition module is used for acquiring a plurality of first hot content prediction models of the digital twin models of the terminal equipment, wherein one digital twin model of the terminal equipment corresponds to one first hot content prediction model, and the first hot content prediction model is generated based on a first data analysis neural network model and preset characteristic parameters in the digital twin model of the terminal equipment;
The model aggregation module is used for aggregating the plurality of first hot content prediction models to obtain a second hot content prediction model corresponding to the area to which the edge server belongs;
And the simulation test module is used for performing simulation test on the second hot content prediction models so as to determine the prediction effects of the plurality of first hot content prediction models and the second hot content prediction models.
Optionally, in one embodiment, the simulation test module is configured to:
Predicting the plurality of content samples to be tested based on the second popular content prediction model and a plurality of content samples to be tested to determine at least one popular content in the plurality of content samples to be tested, wherein the plurality of content samples to be tested comprise at least one preset popular content sample;
And determining the effect of the second hot content prediction model according to the at least one hot content and the at least one preset hot content sample.
Optionally, in an embodiment, after the simulation test module performs a simulation test on the second hot content prediction model, the apparatus further includes:
And the model updating module is used for updating the third popular content prediction model based on the second popular content prediction model if the accuracy rate of the second popular content prediction model is higher than that of the third popular content prediction model generated by the corresponding edge server in the physical entity world.
Optionally, before the model obtaining module obtains the plurality of first hot content prediction models of the plurality of terminal device digital twin models, the apparatus includes:
The hot content global model acquisition module is used for acquiring a hot content global model from the edge server digital twin model;
The model generation module is used for analyzing the neural network model and preset characteristic parameters of the terminal equipment digital twin model based on the hot content global model and the first data in the terminal equipment digital twin model, and generating a first hot content prediction model of the terminal equipment digital twin model.
The device 400 for establishing a simulation test platform can implement the method of the method embodiments of fig. 1 to 3, and specifically refer to the method for establishing a simulation test platform of the embodiment shown in fig. 1 to 3, which is not described herein.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. Referring to fig. 5, at the hardware level, the electronic device includes a processor, and optionally an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, network interface, and memory may be interconnected by an internal bus, which may be an ISA (Industry Standard Architecture ) bus, a PCI (PERIPHERAL COMPONENT INTERCONNECT, peripheral component interconnect standard) bus, or EISA (Extended Industry Standard Architecture ) bus, among others. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 5, but not only one bus or type of bus.
And the memory is used for storing programs. In particular, the program may include program code including computer-operating instructions. The memory may include memory and non-volatile storage and provide instructions and data to the processor.
The processor reads the corresponding computer program from the nonvolatile memory to the memory and then runs the computer program to form the building device of the simulation test platform on the logic level. The processor is used for executing the programs stored in the memory and is specifically used for executing the following operations:
Constructing a three-dimensional model of the terminal equipment based on the geometric structure and shape parameters of the terminal equipment in the physical entity world; and
Constructing a three-dimensional model of an edge server based on geometric structures and shape parameters of the edge server in the physical entity world;
Generating a digital twin model of the terminal equipment based on the application use condition data of the terminal equipment and the three-dimensional model of the terminal equipment, wherein the application use condition data is obtained by monitoring the terminal equipment; and
Generating an edge server digital twin model based on the capability feature data of the edge server and the three-dimensional model of the edge server, wherein the capability feature data is obtained by monitoring the edge server;
And establishing a simulation test platform based on the terminal equipment digital twin model and the edge server digital twin model.
The method for establishing the simulation test platform disclosed in the embodiment shown in fig. 1 to 3 of the present specification can be applied to a processor or implemented by the processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but may also be a digital signal Processor (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps, and logic blocks disclosed in one or more embodiments of the present description may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with one or more embodiments of the present disclosure may be embodied directly in a hardware decoding processor or in a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.
The electronic device may further execute the method for establishing the simulation test platform of fig. 1 to 3, which is not described herein.
The present description also proposes a computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a portable electronic device comprising a plurality of application programs, enable the portable electronic device to perform the method of the embodiments shown in fig. 1-3, and in particular to perform the operations of:
Constructing a three-dimensional model of the terminal equipment based on the geometric structure and shape parameters of the terminal equipment in the physical entity world; and
Constructing a three-dimensional model of an edge server based on geometric structures and shape parameters of the edge server in the physical entity world;
Generating a digital twin model of the terminal equipment based on the application use condition data of the terminal equipment and the three-dimensional model of the terminal equipment, wherein the application use condition data is obtained by monitoring the terminal equipment; and
Generating an edge server digital twin model based on the capability feature data of the edge server and the three-dimensional model of the edge server, wherein the capability feature data is obtained by monitoring the edge server;
And establishing a simulation test platform based on the terminal equipment digital twin model and the edge server digital twin model.
Of course, in addition to the software implementation, the electronic device in this specification does not exclude other implementations, such as a logic device or a combination of software and hardware, that is, the execution subject of the following process is not limited to each logic unit, but may also be hardware or a logic device.
In summary, the foregoing description is only a preferred embodiment of the present invention and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, improvement, or the like, which is within the spirit and principles of one or more embodiments of the present disclosure, is intended to be included within the scope of one or more embodiments of the present disclosure.
The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that 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 one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
Claims (10)
1. The method for establishing the simulation test platform is characterized by comprising the following steps:
Constructing a three-dimensional model of the terminal equipment based on the geometric structure and shape parameters of the terminal equipment in the physical entity world; and
Constructing a three-dimensional model of an edge server based on geometric structures and shape parameters of the edge server in the physical entity world;
Generating a digital twin model of the terminal equipment based on the application use condition data of the terminal equipment and the three-dimensional model of the terminal equipment, wherein the application use condition data is obtained by monitoring the terminal equipment; and
Generating an edge server digital twin model based on the capability feature data of the edge server and the three-dimensional model of the edge server, wherein the capability feature data is obtained by monitoring the edge server;
And establishing a simulation test platform based on the terminal equipment digital twin model and the edge server digital twin model.
2. The method of claim 1, wherein the generating a terminal device digital twin model based on the application usage data of the terminal device and the three-dimensional model of the terminal device comprises:
generating a first data analysis neural network model based on application use condition data of the terminal equipment, wherein the first data analysis neural network model is used for predicting preference use conditions of a user on the application of the terminal equipment;
And packaging the first data analysis neural network model into a three-dimensional model of the terminal equipment to generate the digital twin model of the terminal equipment.
3. The method of claim 1, wherein the generating an edge server digital twin model based on the capability feature data of the edge server and the three-dimensional model of the edge server comprises:
Generating a second data analysis neural network model based on the capability feature data, the second data analysis neural network model being used to predict the capability features of the edge server;
And packaging the second data analysis neural network model into the three-dimensional model of the edge server to generate the digital twin model of the edge server.
4. The method of claim 3, wherein after generating the edge server digital twin model, the method further comprises:
acquiring a plurality of first hot content prediction models of the plurality of terminal equipment digital twin models, wherein one terminal equipment digital twin model corresponds to one first hot content prediction model, and the first hot content prediction model is generated based on a first data analysis neural network model and preset characteristic parameters in the terminal equipment digital twin model;
Aggregating the plurality of first hot content prediction models to obtain a second hot content prediction model corresponding to the area to which the edge server belongs;
and performing simulation test on the second hot content prediction models to determine the prediction effects of the first hot content prediction models and the second hot content prediction models.
5. The method of claim 4, wherein said performing a simulation test on the effects of the second popular content prediction model to determine the predicted effects of the plurality of first popular content prediction models and the second popular content prediction model comprises:
Predicting the plurality of content samples to be tested based on the second popular content prediction model and a plurality of content samples to be tested to determine at least one popular content in the plurality of content samples to be tested, wherein the plurality of content samples to be tested comprise at least one preset popular content sample;
And determining the effect of the second hot content prediction model according to the at least one hot content and the at least one preset hot content sample.
6. The method of claim 4 or 5, wherein after said performing a simulation test on said second hot content prediction model, said method further comprises:
And if the accuracy rate of the second hot content prediction model is higher than that of a third hot content prediction model generated by a corresponding edge server in the physical entity world, updating the third hot content prediction model based on the second hot content prediction model.
7. The method of claim 4, wherein prior to obtaining a plurality of first hot content prediction models of the plurality of terminal device digital twin models, the method further comprises:
Acquiring a hot content global model from the edge server digital twin model;
And generating a first hot content prediction model of the terminal equipment digital twin model based on the hot content global model, the first data analysis neural network model in the terminal equipment digital twin model and preset characteristic parameters of the terminal equipment digital twin model.
8. An apparatus for establishing a simulation test platform, the apparatus comprising:
the three-dimensional model construction module is used for constructing a three-dimensional model of the terminal equipment based on the geometric structure and the shape parameters of the terminal equipment in the physical entity world; and
Constructing a three-dimensional model of an edge server based on geometric structures and shape parameters of the edge server in the physical entity world;
the digital twin model generation module is used for generating a digital twin model of the terminal equipment based on application use condition data of the terminal equipment and the three-dimensional model of the terminal equipment, wherein the application use condition data is obtained by monitoring the terminal equipment; and
Generating an edge server digital twin model based on the capability feature data of the edge server and the three-dimensional model of the edge server, wherein the capability feature data is obtained by monitoring the edge server;
The simulation test platform building module is used for building a simulation test platform based on the terminal equipment digital twin model and the edge server digital twin model.
9. An electronic device, comprising:
A processor; and
A memory arranged to store computer executable instructions that, when executed, cause the processor to:
Constructing a three-dimensional model of the terminal equipment based on the geometric structure and shape parameters of the terminal equipment in the physical entity world; and
Constructing a three-dimensional model of an edge server based on geometric structures and shape parameters of the edge server in the physical entity world;
Generating a digital twin model of the terminal equipment based on the application use condition data of the terminal equipment and the three-dimensional model of the terminal equipment, wherein the application use condition data is obtained by monitoring the terminal equipment; and
Generating an edge server digital twin model based on the capability feature data of the edge server and the three-dimensional model of the edge server, wherein the capability feature data is obtained by monitoring the edge server;
And establishing a simulation test platform based on the terminal equipment digital twin model and the edge server digital twin model.
10. A computer-readable storage medium storing one or more programs that, when executed by an electronic device comprising a plurality of application programs, cause the electronic device to:
Constructing a three-dimensional model of the terminal equipment based on the geometric structure and shape parameters of the terminal equipment in the physical entity world; and
Constructing a three-dimensional model of an edge server based on geometric structures and shape parameters of the edge server in the physical entity world;
Generating a digital twin model of the terminal equipment based on the application use condition data of the terminal equipment and the three-dimensional model of the terminal equipment, wherein the application use condition data is obtained by monitoring the terminal equipment; and
Generating an edge server digital twin model based on the capability feature data of the edge server and the three-dimensional model of the edge server, wherein the capability feature data is obtained by monitoring the edge server;
And establishing a simulation test platform based on the terminal equipment digital twin model and the edge server digital twin model.
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| CN116781153A (en) * | 2022-03-10 | 2023-09-19 | 中兴通讯股份有限公司 | Optical transport network performance prediction method, system, electronic equipment and storage medium |
| CN115460121B (en) * | 2022-11-07 | 2023-01-17 | 联通(广东)产业互联网有限公司 | Data center monitoring method and system based on big data and digital twins |
| CN115933422A (en) * | 2022-12-27 | 2023-04-07 | 广州视声智能股份有限公司 | Household equipment control method and device based on digital twinning |
| CN116823072B (en) * | 2023-06-27 | 2024-04-09 | 深圳翌万信息技术有限公司 | Intelligent operation platform based on Internet of things data twinning |
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| CN109041130B (en) * | 2018-08-09 | 2021-11-16 | 北京邮电大学 | Resource allocation method based on mobile edge calculation |
| CN109819233B (en) * | 2019-01-21 | 2020-12-08 | 合肥哈工热气球数字科技有限公司 | Digital twin system based on virtual imaging technology |
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