CN112994989A - Evaluation method, device and system for internet of things terminal and storage medium - Google Patents
Evaluation method, device and system for internet of things terminal and storage medium Download PDFInfo
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- CN112994989A CN112994989A CN202110550413.7A CN202110550413A CN112994989A CN 112994989 A CN112994989 A CN 112994989A CN 202110550413 A CN202110550413 A CN 202110550413A CN 112994989 A CN112994989 A CN 112994989A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L43/00—Arrangements for monitoring or testing data switching networks
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
The embodiment of the invention provides an evaluation method, device and system of an Internet of things terminal and a storage medium, and belongs to the technical field of Internet of things. The evaluation method of the Internet of things terminal comprises the following steps: acquiring sensing characteristic data of the terminal of the Internet of things; evaluating the corresponding Internet of things terminal through a cloud model base aiming at the acquired sensing characteristic data; if the evaluation result is in accordance with the evaluation, directly outputting the evaluation result; and if the evaluation result is not qualified, evaluating and simulating the perception characteristic data, outputting the evaluation result, and establishing a correlation model of the evaluation type and the perception characteristic data. The Internet of things terminal is evaluated through the cloud model base, and when the evaluation is not met, a correlation model of the evaluation type and the perception characteristic data can be established, so that the fault detection rate of the evaluation of the Internet of things terminal is effectively improved.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to an evaluation method, device and system for an Internet of things terminal and a storage medium.
Background
The gradual maturity of the related technology of the internet of things and the gradual enhancement of the intelligent demands of the industry and the production life promote a large amount of intelligent applications and terminals of the internet of things. The appearance of massive, multi-type and multi-form internet of things terminals brings quality problems of non-uniform standards, poor equipment compatibility and the like and potential information safety problems influencing economy. The method provides great challenges for detection means of the internet of things terminal and the application system and monitoring measures of information safety.
Particularly, a large number of developed internet of things terminal devices are deployed, so that high requirements are placed on stability of the devices after delivery, and the internet of things terminal devices are short in project period, multiple in tasks, tight in time and limited in manpower. At present, evaluation of the terminal equipment of the internet of things is carried out by adopting a manual configuration evaluation instrument and combining a manual watching mode, so that the outstanding problems currently exist are as follows:
1) evaluating the instrument requires the user to spend more time and effort in learning and requires a relatively solid basis for evaluation.
2) In the evaluation process, the work of an evaluation staff is relatively heavy, the configuration and operation of an evaluation instrument are complex, the evaluation efficiency is seriously influenced, and long-term continuous reliability evaluation cannot be carried out.
Disclosure of Invention
The embodiment of the invention aims to provide a client-side terminal evaluation method of the Internet of things, which can reliably and systematically evaluate the terminal of the Internet of things.
In order to achieve the above object, an embodiment of the present invention provides an evaluation method for an internet of things terminal, where the evaluation method for the internet of things terminal includes: acquiring sensing characteristic data of the terminal of the Internet of things; evaluating the corresponding Internet of things terminal through a cloud model base aiming at the acquired sensing characteristic data; if the evaluation result is in accordance with the evaluation, directly outputting the evaluation result; and if the evaluation result is not qualified, evaluating and simulating the perception characteristic data, outputting the evaluation result, and establishing a correlation model of the evaluation type and the perception characteristic data.
Optionally, the performing evaluation simulation on the perception feature data includes: acquiring historical perception characteristic data and a corresponding historical evaluation type; based on a digital twin technology, establishing virtual space mapping corresponding to the historical evaluation type and the historical perception characteristic data according to the acquired historical perception characteristic data and the corresponding historical evaluation type; and performing full-type evaluation simulation on the Internet of things terminal in the virtual space mapping.
Optionally, the establishing a relevance model between the evaluation type and the perceptual feature data includes: establishing a model corresponding to the simulation evaluation type and the perception characteristic data according to the full-type evaluation simulation of the terminal of the Internet of things; and deleting the non-associated evaluation characteristic data and the non-important characteristic data in the corresponding model, and establishing the association degree model.
Optionally, the establishing a model corresponding to the simulation evaluation type and the perceptual feature data includes: establishing a mechanism model based on the perception characteristic data; training and fitting perception characteristic data subjected to data processing in a physical entity module, and establishing a data driving model; and/or fusing the mechanistic model and the data-driven model.
Optionally, after the establishing of the association model between the evaluation type and the perceptual feature data, the evaluation method of the internet of things terminal further includes: and sending the correlation model to the cloud model library.
The embodiment of the invention also provides an evaluation device of the internet of things terminal, which comprises the following components: the evaluation method comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the evaluation method of the internet of things terminal according to any one of the above items.
The embodiment of the invention also provides a machine-readable storage medium, wherein the machine-readable storage medium is stored with instructions, and the instructions enable a machine to execute the evaluation method of the internet of things terminal according to any one of the above items.
The embodiment of the invention also provides an evaluation system of the internet of things terminal, which comprises the following components: the physical entity module comprises an Internet of things terminal and is used for providing sensing characteristic data of the Internet of things terminal; the evaluation device of the internet of things terminal is used for evaluating the internet of things terminal.
Optionally, the evaluation device of the internet of things terminal includes: the cloud model base is used for evaluating the terminal of the Internet of things; and the virtual space mapping module is used for establishing virtual space mapping corresponding to the perception characteristic data and the Internet of things terminal based on a digital twin technology and establishing an association model of an evaluation type and the perception characteristic data.
Optionally, the physical entity module, the cloud model library, and the virtual space mapping module may perform transmission interaction and data sharing.
Through the technical scheme, the Internet of things terminal is evaluated through the cloud model base by aiming at the cloud evaluation with high complexity, and when the cloud model base is not in accordance with the evaluation, the association degree model of the evaluation type and the perception characteristic data can be established, so that the fault detection rate of the evaluation of the Internet of things terminal is effectively improved.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
fig. 1 is a schematic flow chart of an evaluation method for an internet of things terminal according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an evaluation system of an internet of things terminal according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an example of a terminal evaluation system of the Internet of things;
fig. 4 is a schematic flow chart illustrating evaluation performed by the internet of things terminal evaluation system.
Description of the reference numerals
10 thing networking terminal evaluation device 20 physical entity module
11 cloud model block 12 virtual space mapping module.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
Fig. 1 is a schematic flow chart of an evaluation method for an internet of things terminal according to an embodiment of the present invention, and referring to fig. 1, the evaluation method for the internet of things terminal may include the following steps:
step S110: and acquiring the perception characteristic data of the terminal of the Internet of things.
The physical perception is the basis of an energy internet digital twin system, and the perception and the acquisition of the mass data of the states of each terminal and each link in the real world internet of things are realized.
The embodiment of the application can acquire sensing characteristic data of the internet of things terminal equipment in the internet of things as many as possible through various sensors and acquisition terminals, wherein each internet of things terminal can relate to application scenes as many as possible, for example: the comprehensive sensing and acquisition method for the mass data of the terminal of the Internet of things and the Internet of things is realized through multiple application scenes such as Internet of things financial application, intelligent security application, intelligent traffic application, intelligent home application, intelligent municipal application, intelligent pipe network application and intelligent sanitation application.
The sensing characteristic data of the terminal of the internet of things at least comprises port information data, flow characteristic data, behavior characteristic data and the like of the terminal of the internet of things, and can also comprise other characteristic data capable of reflecting the terminal of the internet of things, such as fault characteristic data and the like.
Preferably, after the sensing feature data of the internet of things terminal is obtained, the method for evaluating the internet of things terminal further includes: and preprocessing the perception characteristic data, namely performing edge calculation to reduce the processing pressure of cloud data.
Step S120: and evaluating the corresponding Internet of things terminal through a cloud model base aiming at the acquired sensing characteristic data.
The cloud model base can comprise a plurality of association degree models of evaluation types and perception characteristic data, and the models can be continuously increased so as to evaluate the internet of things terminal more abundantly and accurately.
For example, the terminal of the internet of things is tested for functional integrity, performance compliance, protocol standard compliance, compatibility, reliability, protocol consistency, interoperability, identification compliance, and the like.
Step S130: and if the evaluation result is in accordance with the evaluation, directly outputting the evaluation result.
For example, the conformity evaluation refers to bringing the preprocessed multi-type perception feature data into a cloud model base and judging whether the existing cloud model base is available; if the evaluation type is available, the evaluation type can be directly output; if not, go to step S140.
The output evaluation types may be several of the above types, for example, the evaluation output for the internet of things terminal 1 is evaluation of functional integrity, performance conformity, and compatibility.
Step S140: and if the evaluation result is not qualified, evaluating and simulating the perception characteristic data, outputting the evaluation result, and establishing a correlation model of the evaluation type and the perception characteristic data.
It can be understood that if the current cloud model block cannot determine the type of the internet of things terminal to be evaluated, evaluation simulation training can be performed on the internet of things terminal in other data modules independent of the cloud model base, such as a database.
Preferably, the performing evaluation simulation on the perception feature data comprises: acquiring historical perception characteristic data and a corresponding historical evaluation type; based on a digital twin technology, establishing virtual space mapping corresponding to the historical evaluation type and the historical perception characteristic data according to the acquired historical perception characteristic data and the corresponding historical evaluation type; and performing full-type evaluation simulation on the Internet of things terminal in the virtual space mapping.
By way of example, a virtual space mapping can be established in a data module, for example, through a data twin technology according to a large amount of historical perception feature data of each internet of things terminal and a corresponding historical evaluation type, that is, a mapping process of changing a physical entity into a digital bit is realized, and in the established virtual space mapping, the current internet of things terminal is subjected to full-type evaluation.
Preferably, the establishing a model corresponding to the simulation evaluation type and the perception feature data according to the full-type evaluation simulation of the internet of things terminal includes: establishing a corresponding model of the perception characteristic data and the evaluation result according to the full-type evaluation simulation of the Internet of things terminal; and deleting the non-associated evaluation characteristic data and the non-important characteristic data in the corresponding model, and establishing the association degree model.
By way of example, a large amount of historical perception feature data comprises non-associated evaluation feature data and non-important feature data, full-type evaluation simulation is conducted on the internet of things terminal in the virtual space mapping, data screening is conducted according to the overall evaluation result, and after the data is deleted, the association degree model is established.
Further preferably, the establishing a model corresponding to the simulation evaluation type and the perceptual feature data includes: establishing a mechanism model based on the perception characteristic data; training and fitting perception characteristic data subjected to data processing in a physical entity module, and establishing a data driving model; and/or fusing the mechanistic model and the data-driven model.
By way of example, the full-mode simulation of the internet of things is composed of digital twins mapped by physical entities, and mirror image replication of the internet of things terminal equipment in a physical space in a virtual space is achieved. The method comprises the following steps of aiming at the virtual space mapping corresponding to the perception feature data and the internet of things terminal, namely the construction of a digital twin body of a physical entity, and comprising a mechanism model, a data driving model and a mechanism and data fusion driving model:
1) the mechanism model is a model established for the terminal equipment of the Internet of things with fixed port information, flow characteristics, behavior characteristics and the like;
2) the data driving model is a model formed by performing data preprocessing on the edge side through acquired sensing characteristic data, integrating and refining related information, then sharing the information, and training and fitting the information on the basis of data;
3) and a modeling mode of fusing mechanism modeling and data-driven modeling can also be adopted.
The mechanism model and the data-driven model can be constructed in a neural network training mode, and the embodiment of the invention does not limit the mechanism model and the data-driven model.
Preferably, after the establishing of the association model between the evaluation type and the perceptual feature data, the evaluation method of the internet of things terminal further includes: and sending the correlation model to the cloud model library. The cloud model is expanded and updated quickly, and the evaluation of the Internet of things terminal is more comprehensive and accurate.
The embodiment of the invention also provides an evaluation device of the internet of things terminal, which comprises the following components: the evaluation method comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the evaluation method of the internet of things terminal according to the steps S110-S140.
An embodiment of the present invention further provides a machine-readable storage medium, where the machine-readable storage medium has instructions stored thereon, and the instructions enable a machine to execute the method for evaluating the internet of things terminal according to steps S110 to S140.
Fig. 2 is a schematic structural diagram of an internet of things terminal evaluation system provided in an embodiment of the present invention, and referring to fig. 2, the internet of things terminal evaluation system may include: the physical entity module 20 comprises an internet of things terminal and is used for providing sensing characteristic data of the internet of things terminal; the evaluation device 10 of the internet of things terminal is used for evaluating the internet of things terminal.
The sensing characteristic data at least comprises port information data, flow characteristic data and behavior characteristic data of the Internet of things terminal.
Preferably, the evaluation device 10 of the internet of things terminal may include: the cloud model base 11 is used for evaluating the terminal of the Internet of things; and the virtual space mapping module 12 is used for establishing virtual space mapping corresponding to the perception characteristic data and the internet of things terminal based on a digital twin technology, and establishing an association model of an evaluation type and the perception characteristic data.
Fig. 3 is a schematic structural diagram of an example of an internet of things terminal evaluation system, please refer to fig. 3, where a cloud model base 11, for example, an internet of things terminal evaluation information center of a cloud architecture, may obtain perceptual feature data of an internet of things terminal, where the perceptual feature data may relate to various types of applications, such as internet of things financial application, intelligent security application, intelligent transportation application, intelligent home application, intelligent municipal application, intelligent pipe network application, intelligent environmental sanitation application, and the like; the method comprises the steps of evaluating the Internet of things terminal through a cloud model base, if the evaluation is not in accordance, namely the current cloud model base cannot evaluate the Internet of things terminal, constructing virtual space mapping through a digital twin technology, performing full-type evaluation simulation on the Internet of things terminal according to a large amount of historical perception characteristic data and evaluation results thereof, and constructing an association model of evaluation types and the perception characteristic data, wherein the association model can be used for expanding and updating the cloud model base.
When full-type evaluation simulation is carried out, comprehensive perception of the application service of the internet of things terminal can realize closed-loop feedback optimization of virtual space mapping on the physical entity module. Based on algorithm models such as big data and artificial intelligence, feedback optimization is carried out on the physical entity according to the predicted result in the virtual space mapping, and the evaluation fault detection rate can be effectively improved.
Further, when a large amount of historical perceptual feature data is obtained, the physical entity module 20 may perform edge calculation on the data first to reduce the cloud data processing pressure.
With the development of sensor terminal technology, the upgrading of functions, the expansion of applications and the like, the evaluation may be inaccurate, so that the cloud model needs to be added and updated. According to the embodiment of the application, preferably, an association degree model of the evaluation type and the perception characteristic data is established through virtual space mapping, and the cloud association degree model is updated.
With reference to fig. 3 and fig. 4, an evaluation process of the internet of things terminal evaluation system according to the embodiment of the present invention for the internet of things terminal is described by way of example:
step S11, the cloud acquires sensing characteristic data of the Internet of things terminal;
step S12, evaluating the Internet of things terminal through the cloud model base 11 of the acquired sensing characteristic data;
step S13, if the evaluation result is in line with the standard, outputting the evaluation result;
step S14, if the evaluation result does not match, the virtual space map 12 is constructed from the historical data (historical perceptual feature data and corresponding historical evaluation result) provided by the physical entity module 20;
step S15, performing full-type simulation evaluation on the terminal of the Internet of things;
step S16, sorting the evaluation results and carrying out data screening;
step S17, after establishing an evaluation type and perception feature data association degree model, executing step S13;
and step S18, uploading the association model to the cloud model library 11.
Further preferably, the physical entity module 20, the cloud model library 11, and the virtual space mapping module 12 can perform transmission interaction and data sharing.
According to the internet of things terminal evaluation system provided by the embodiment of the invention, the physical entity module 20, the cloud model base 11 and the virtual space mapping module 12 can be transmitted and interacted in real time. The transmission interaction is a network facility of each part of a construction networking digital twin system, and the efficient connection, real-time interaction and interaction cooperation of each link are realized. Aiming at the transmission requirements of high bandwidth, large connection, low time delay and high reliability of the Internet of things, a heterogeneous network fusion technology of communication technologies such as 5G, power line communication and micro-power wireless communication can be adopted, cloud, edge and end cooperative resource allocation is combined, different Internet of things terminal evaluations are carried out according to complexity, an ARM + FPGA cooperative automatic evaluation mechanism can be adopted for low-complexity Internet of things terminal evaluation, and the Internet of things terminal evaluation system provided by the embodiment of the invention can be adopted for rapid automatic evaluation based on a digital twin technology for high-complexity cloud evaluation.
Further, data can be shared among the physical entity module 20, the cloud model library 11, and the virtual space mapping module 12. The data sharing is a power library of the Internet of things digital twin system, realizes a data storage and sharing platform, and provides a strong driving force for the construction of a virtual space mapping model. The data comprises static attribute data and dynamic acquisition data of the physical entity module, simulation data of the virtual space, stored knowledge data and application data. The attribute data of the physical entity is inherent attribute data such as geometric attributes, functions and performances, and port information, flow characteristics and behavior characteristics of each terminal of the internet of things; the simulation data of the virtual space mapping is mainly model data generated by full-mode simulation operation calculation; the stored knowledge data mainly comprises normative data such as technical specifications and standard data; the application data is predicted, simulated and analyzed through a virtual space by utilizing algorithms such as big data and artificial intelligence.
Therefore, the embodiment of the invention can evaluate the Internet of things terminal through the cloud model base by aiming at the cloud evaluation with higher complexity, and can establish the association degree model of the evaluation type and the perception characteristic data of the Internet of things terminal when the cloud model base is not in accordance with the evaluation, so as to effectively improve the fault detection rate of the evaluation of the Internet of things terminal; the digital twin technology is used for evaluating the Internet of things terminal, the terminal full-type evaluation simulation is carried out through a digital mirror image, and the relevance model is uploaded to the cloud database to expand and update the cloud database; in the embodiment of the invention, the edge calculation is carried out on the perception characteristic data in the physical entity module so as to reduce the processing pressure of cloud data; further, for the evaluation of the low-complexity internet of things terminal, an automatic evaluation mechanism based on ARM + FPGA cooperation can be adopted, and for the high-complexity cloud evaluation, the evaluation method and the system for the internet of things terminal provided by the embodiment of the invention can be used.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
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 computer storage media 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 magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
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 an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An evaluation method for an internet of things terminal is characterized by comprising the following steps:
acquiring sensing characteristic data of the terminal of the Internet of things;
evaluating the corresponding Internet of things terminal through a cloud model base aiming at the acquired sensing characteristic data;
if the evaluation result is in accordance with the evaluation, directly outputting the evaluation result; and
and if the evaluation result is not qualified, evaluating and simulating the perception characteristic data, outputting the evaluation result, and establishing a correlation model of the evaluation type and the perception characteristic data.
2. An evaluation method of an internet of things terminal according to claim 1, wherein the evaluation simulation for the perception feature data comprises:
acquiring historical perception characteristic data and a corresponding historical evaluation type;
based on a digital twin technology, establishing virtual space mapping corresponding to the historical evaluation type and the historical perception characteristic data according to the acquired historical perception characteristic data and the corresponding historical evaluation type; and
and performing full-type evaluation simulation on the Internet of things terminal in the virtual space mapping.
3. An evaluation method of an internet of things terminal according to claim 2, wherein the establishing of the association degree model of the evaluation type and the perception feature data comprises:
establishing a model corresponding to the simulation evaluation type and the perception characteristic data according to the full-type evaluation simulation of the terminal of the Internet of things;
and deleting the non-associated evaluation characteristic data and the non-important characteristic data in the corresponding model, and establishing the association degree model.
4. An evaluation method of an internet of things terminal according to claim 3, wherein the establishing of a model corresponding to the simulation evaluation type and the perception feature data comprises:
establishing a mechanism model based on the perception characteristic data;
training and fitting perception characteristic data subjected to data processing in a physical entity module, and establishing a data driving model; and/or
And fusing the mechanism model and the data driving model.
5. An evaluation method of an internet of things terminal according to claim 2, wherein after the establishing of the correlation model between the evaluation type and the perceptual feature data, the evaluation method of the internet of things terminal further comprises:
and sending the correlation model to the cloud model library.
6. The utility model provides an evaluation device at thing networking terminal which characterized in that, evaluation device at thing networking terminal includes: memory, processor and computer program stored on the memory and executable on the processor, the processor executing the computer program to implement the method for evaluating an internet of things terminal according to any one of claims 1 to 5.
7. A machine-readable storage medium having stored thereon instructions for causing a machine to execute the method for evaluating an internet of things terminal according to any one of claims 1-5.
8. The utility model provides an evaluation system at thing networking terminal which characterized in that, evaluation system at thing networking terminal includes:
the physical entity module comprises an Internet of things terminal and is used for providing sensing characteristic data of the Internet of things terminal;
the evaluation device of the internet of things terminal according to claim 6, which is used for evaluating the internet of things terminal.
9. The system for evaluating the terminal of the internet of things according to claim 8, wherein the evaluating device of the terminal of the internet of things comprises:
the cloud model base is used for evaluating the terminal of the Internet of things; and
and the virtual space mapping module is used for establishing virtual space mapping corresponding to the perception characteristic data and the Internet of things terminal based on a digital twin technology and establishing an association model of an evaluation type and the perception characteristic data.
10. The system for evaluating the internet of things terminal according to claim 9, wherein the physical entity module, the cloud model base and the virtual space mapping module can be used for transmission interaction and data sharing.
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