CN117978680B - Heterogeneous Internet of things evaluation method and device and nonvolatile storage medium - Google Patents
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Abstract
The application discloses a heterogeneous Internet of things evaluation method, a heterogeneous Internet of things evaluation device and a nonvolatile storage medium. Wherein the method comprises the following steps: acquiring target performance data of the heterogeneous Internet of things to be evaluated in multiple dimensions, wherein the target performance data is used for reflecting the interconnection and interworking capacity of the heterogeneous Internet of things; determining a target evaluation index corresponding to the target performance data in each dimension, wherein the types of the target evaluation indexes comprise: resource evaluation index, data evaluation index, service evaluation index, network transmission index and access delay index; determining target index weights corresponding to the target evaluation indexes based on subjective scores of the target objects on the target evaluation indexes; and evaluating the interconnection and interworking capacity of the heterogeneous Internet of things based on the target evaluation index and the target index weight corresponding to the target evaluation index. The method solves the technical problem that the characteristic of the heterogeneous Internet of things is not considered in the related technology, so that the formulated evaluation index cannot accurately comprehensively evaluate the heterogeneous Internet of things.
Description
Technical Field
The application relates to the technical field of the Internet of things, in particular to a heterogeneous Internet of things evaluation method and device and a nonvolatile storage medium.
Background
Along with the rapid development of urban Internet of things application, the Internet of things development level can reflect the intelligent and digital degree of a city to a certain extent. Therefore, the internet of things is an important foundation of an informatization infrastructure, and different internet of things systems can exist in different fields, such as industrial internet of things, agricultural internet of things, automobile internet of things and the like. The different Internet of things are integrated through ternary division, and a new problem is generated, namely, how to evaluate heterogeneous interconnection capability of heterogeneous Internet.
However, because heterogeneous network elements in the current internet of things have the problems of diversity in typing, multi-state dispersion of cross-domain resources, complex coupling of application services and the like, in order to accurately evaluate the quality and performance of heterogeneous interconnection, the formulation of evaluation indexes becomes particularly important. However, since heterogeneous internet of things involves multiple domains and different types of internet of things systems, each domain and system may have its specific requirements, standards, and metrics. This results in a lack of uniform evaluation criteria and index systems, making it difficult to evaluate consistency and comprehensiveness of the different systems. In addition, even in the same field, different internet of things systems may have different standards and indexes.
Therefore, there is a need to develop an evaluation index that can evaluate heterogeneous interconnection capability of heterogeneous internet of things.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the application provides a heterogeneous Internet of things evaluation method, a heterogeneous Internet of things evaluation device and a nonvolatile storage medium, which are used for at least solving the technical problem that the characteristic of the heterogeneous Internet of things is not considered in the related technology, so that the formulated evaluation index cannot accurately comprehensively evaluate the heterogeneous Internet of things.
According to an aspect of the embodiment of the present application, there is provided a heterogeneous internet of things evaluation method, including: acquiring target performance data of the heterogeneous Internet of things to be evaluated under multiple dimensions, wherein the target performance data is used for reflecting the interconnection and interworking capacity of the heterogeneous Internet of things; determining a target evaluation index corresponding to the target performance data in each dimension, wherein the type of the target evaluation index comprises at least one of the following: the system comprises a resource evaluation index for representing accessibility of resource information of the heterogeneous Internet of things, a data evaluation index for representing consistency of data information of the heterogeneous Internet of things, a service evaluation index for representing the degree of cooperative fusion of the heterogeneous Internet of things, a network transmission index for representing network transmission quality of the heterogeneous Internet of things, and an access delay index for representing delay condition of the heterogeneous Internet of things; determining target index weights corresponding to the target evaluation indexes based on subjective scores of the target objects on the target evaluation indexes; and evaluating the interconnection and interworking capacity of the heterogeneous Internet of things based on the target evaluation index and the corresponding target index weight.
Optionally, obtaining target performance data of the heterogeneous internet of things to be evaluated in multiple dimensions includes: acquiring initial performance data of the heterogeneous Internet of things in multiple dimensions, wherein the dimensions of the initial performance data comprise at least one of the following: resource class, application data information, application service information, network transmission information, access delay information; performing preprocessing operation on the initial performance data to obtain target performance data, wherein the preprocessing operation comprises at least one of the following steps: and (5) data cleaning and normalization processing.
Optionally, determining a target evaluation index corresponding to the target performance data in each dimension includes: determining target evaluation indexes corresponding to the target performance data in each dimension from a preset evaluation index table, wherein the evaluation index table comprises first-level evaluation indexes corresponding to the dimensions of the performance data, each first-level evaluation index comprises a plurality of second-level evaluation indexes, and the target evaluation index is any one of the plurality of second-level evaluation indexes.
Optionally, the resource evaluation index includes at least one of: heterogeneous resource perception anomaly rate, heterogeneous resource quantifiable rate, heterogeneous resource demand situation prediction precision and heterogeneous resource management degree; the data evaluation index includes at least one of: heterogeneous data attribute consistency and heterogeneous data interoperation consistency; the service valuation indicator comprises at least one of: reconfigurable hardware equipment coverage rate, heterogeneous interconnected dynamic network protocol support rate, service decoupling degree, service scheduling supportable thread number and service precision; the network transmission index includes at least one of: channel utilization, network utilization, heterogeneous resource access low latency occupancy, heterogeneous data transmission rate; the access delay index includes at least one of: percent response time, maximum response time, time standard deviation.
Optionally, determining the target index weight corresponding to the target evaluation index based on the subjective score of the target object on the target evaluation index includes: obtaining subjective scores of target objects on target evaluation indexes; and converting the subjective scores into weights by adopting a preset analysis method to obtain target index weights of target evaluation indexes.
Optionally, the evaluation of the interconnection capability of the heterogeneous internet of things based on the target evaluation index and the corresponding target index weight includes: based on the target evaluation index and the corresponding target index weight, the interconnection and interworking capacity of the heterogeneous Internet of things is evaluated by adopting a comprehensive evaluation method to obtain a corresponding scoring result, wherein the comprehensive evaluation method comprises at least one of the following steps: delta, analytic hierarchy process, entropy method.
Optionally, after evaluating the interconnection and interworking capability of the heterogeneous internet of things based on the target evaluation index and the corresponding target index weight, the method further includes: judging the size relation between the scoring result and a preset scoring threshold, wherein the scoring threshold comprises: a first scoring threshold, a second scoring threshold, and the first scoring threshold is greater than the second scoring threshold; when the grading result is not lower than the first grading threshold value, determining that the interconnection and interworking capacity of the heterogeneous Internet of things is in an excellent grade; when the grading result is lower than the first grading threshold value and not lower than the second grading threshold value, determining that the interconnection and interworking capacity of the heterogeneous Internet of things is in a good grade; and determining that the interconnection capacity of the heterogeneous Internet of things is a qualified grade when the grading result is lower than the second grading threshold.
According to another aspect of the embodiment of the present application, there is also provided a heterogeneous internet of things evaluation device, including: the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring target performance data of the heterogeneous Internet of things to be evaluated in multiple dimensions, wherein the target performance data is used for reflecting the interconnection and intercommunication capacity of the heterogeneous Internet of things; the first determining module is used for determining a target evaluation index corresponding to the target performance data in each dimension, wherein the type of the target evaluation index comprises at least one of the following: the type of the target evaluation index includes at least one of: the system comprises a resource evaluation index for representing accessibility of resource information of the heterogeneous Internet of things, a data evaluation index for representing consistency of data information of the heterogeneous Internet of things, a service evaluation index for representing the degree of cooperative fusion of the heterogeneous Internet of things, a network transmission index for representing network transmission quality of the heterogeneous Internet of things, and an access delay index for representing delay condition of the heterogeneous Internet of things; the second determining module is used for determining target index weights corresponding to the target evaluation indexes based on subjective scores of the target objects on the target evaluation indexes; and the evaluation module is used for evaluating the interconnection and interworking capacity of the heterogeneous Internet of things based on the target evaluation index and the corresponding target index weight.
According to another aspect of the embodiment of the present application, there is further provided a nonvolatile storage medium, where the nonvolatile storage medium includes a stored computer program, and a device where the nonvolatile storage medium is located executes the heterogeneous internet of things evaluation method by running the computer program.
According to another aspect of the embodiments of the present application, there is also provided a computer program product, including a stored computer program, where the computer program, when executed by a processor, implements the heterogeneous internet of things evaluation method described above.
In the embodiment of the application, target performance data of the heterogeneous Internet of things to be evaluated in multiple dimensions are obtained, wherein the target performance data are used for reflecting the interconnection and interworking capacity of the heterogeneous Internet of things; determining a target evaluation index corresponding to the target performance data in each dimension, wherein the type of the target evaluation index comprises at least one of the following: the type of the target evaluation index includes at least one of: the system comprises a resource evaluation index for representing accessibility of resource information of the heterogeneous Internet of things, a data evaluation index for representing consistency of data information of the heterogeneous Internet of things, a service evaluation index for representing the degree of cooperative fusion of the heterogeneous Internet of things, a network transmission index for representing network transmission quality of the heterogeneous Internet of things, and an access delay index for representing delay condition of the heterogeneous Internet of things; determining target index weights corresponding to the target evaluation indexes based on subjective scores of the target objects on the target evaluation indexes; and evaluating the interconnection and interworking capacity of the heterogeneous Internet of things based on the target evaluation index and the corresponding target index weight.
In the technical scheme, the method for evaluating the interconnection and interworking capacity of the heterogeneous Internet of things system is provided by considering that the various Internet of things are severely cracked, the network architecture is complex, various resources are autonomous and heterogeneous and the application is difficult to fuse, so that the current heterogeneous Internet of things cannot adapt to the complex and diverse application scene at present.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
fig. 1 is a hardware configuration block diagram of a computer terminal for implementing a heterogeneous internet of things evaluation method according to an embodiment of the present application;
FIG. 2 is a flow chart of an alternative heterogeneous Internet of things evaluation method according to an embodiment of the application;
Fig. 3 is a schematic structural diagram of an optional heterogeneous internet of things evaluation device according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects 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 the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In addition, the related information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for presentation, analyzed data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party. For example, an interface is provided between the system and the relevant user or institution, before acquiring the relevant information, the system needs to send an acquisition request to the user or institution through the interface, and acquire the relevant information after receiving the consent information fed back by the user or institution.
Example 1
Due to the continuous development of the internet of things system, different internet of things systems exist in different fields, such as industrial internet of things, agricultural internet of things, automobile internet of things and the like. The internet of things systems which are different from each other are integrated through ternary divide and conquer, and the interconnection and intercommunication capability of the heterogeneous internet of things systems has important significance for realizing collaborative work, shared resources and information across fields or industries. However, due to diversity, technology, etc. differences of heterogeneous internet of things systems, it is not easy to achieve seamless interconnection between them. At present, the related technology still has the following problems in evaluating the interconnection and interworking capability of the heterogeneous Internet of things:
Heterogenous challenge (one)
In particular, considering that there is significant heterogeneity in specific requirements and indexes among various systems, making it difficult to formulate a general evaluation system, and thus, the heterogeneity challenge is embodied in the following points:
Firstly, the internet of things systems in different fields and industries have different technical characteristics and standards. For example, industrial internet of things systems are often required to support the connection of large-scale devices and real-time data processing, while agricultural internet of things systems may be more focused on environmental monitoring and crop management. These different technical features lead to differences in system architecture, communication protocols, data processing and security requirements.
Second, internet of things systems in different fields and industries may rely on different standards and specifications. For example, an industrial internet of things system may employ an industrial protocol-based communication standard, such as Modbus or OPC UA, while a smart home internet of things system may employ a more common communication standard such as Wi-Fi or bluetooth. These different standards require that the assessment model take into account how well the system is conforming to a particular standard.
In addition, internet of things systems in different fields and industries may be concerned with different indexes and requirements. For example, industrial internet of things systems may emphasize stability, reliability, and real-time of the system, while medical internet of things systems may be more concerned with data security and privacy protection.
Therefore, the formulated evaluation system needs to consider a plurality of different technical characteristics, application standards, concerned indexes and requirements and the like so as to adapt to the specific requirements of different internet of things systems. In view of such heterogeneity, it has become difficult to develop a general evaluation system. The traditional evaluation index often cannot cover the specific requirements and indexes of the internet of things systems in all different fields and industries.
(II) lack of consistency criteria
In the technical field of the internet of things, standards and specifications of consistency are not available, and particularly, the interconnection and intercommunication conditions among heterogeneous internet of things systems are aimed. Due to the lack of unified standards, accuracy and comparability of evaluation results aiming at heterogeneous Internet of things are difficult to ensure. In addition, as the internet of things covers various application fields and industries, each field and industry may have unique standards and specifications, the diversity and complexity need to be considered in the evaluation process so as to adapt to the specific standard requirements of different fields and industries.
(III) comprehensive considerations
Evaluating the interworking capability of heterogeneous internet of things systems requires consideration of several aspects, including, but not limited to: technology, standard, security, scalability, reliability, etc. Therefore, how to weigh the correlations and weights between different indexes to obtain the comprehensive evaluation result is an important problem considered by the embodiment of the application.
Aiming at the evaluation problems in the prior art, the embodiment of the application provides a method embodiment of a heterogeneous Internet of things evaluation index determination method, which aims at evaluating the interconnection and interworking capacity of a heterogeneous Internet of things system through a set general evaluation index and setting an evaluation weight corresponding to each evaluation index through expert scoring to obtain a comprehensive evaluation result of the heterogeneous Internet of things to be evaluated so as to objectively reflect the interconnection and interworking capacity of the heterogeneous Internet of things system.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.
The method embodiments provided by the embodiments of the present application may be performed in a mobile terminal, a computer terminal, or similar computing device. Fig. 1 shows a hardware block diagram of a computer terminal for implementing a heterogeneous internet of things evaluation method. As shown in fig. 1, the computer terminal 10 includes one or more processors 102 (shown as 102a, 102b, … …,102n in the figures), which processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA, a memory 104 for storing data, and a transmission device 106 for communication functions. In addition, the method may further include: a display, an input/output interface (I/O interface), a Universal Serial BUS (USB) port (which may be included as one of the ports of the BUS), a network interface, a power supply, and/or a camera. It will be appreciated by those of ordinary skill in the art that the configuration shown in fig. 1 is merely illustrative and is not intended to limit the configuration of the electronic device described above. For example, the computer terminal 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
It should be noted that the one or more processors 102 and/or other data processing circuits described above may be referred to generally herein as "data processing circuits. The data processing circuit may be embodied in whole or in part in software, hardware, firmware, or any other combination. Furthermore, the data processing circuitry may be a single stand-alone processing module or incorporated, in whole or in part, into any of the other elements in the computer terminal 10. As referred to in embodiments of the application, the data processing circuit acts as a processor control (e.g., selection of the path of the variable resistor termination connected to the interface).
The memory 104 may be used to store software programs and modules of application software, such as a program instruction/data storage device corresponding to the heterogeneous internet of things evaluation method in the embodiment of the present application, and the processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, thereby implementing the heterogeneous internet of things evaluation method of the application program. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission means 106 is arranged to receive or transmit data via a network. The specific examples of the network described above may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module for communicating with the internet wirelessly.
The display may be, for example, a touch screen type Liquid Crystal Display (LCD) that may enable a user to interact with a user interface of the computer terminal 10.
In the above operating environment, fig. 2 is a schematic flow chart of an optional heterogeneous internet of things evaluation method according to an embodiment of the present application, as shown in fig. 2, the method at least includes steps S202-S208, where:
Step S202, target performance data of the heterogeneous Internet of things to be evaluated in multiple dimensions are obtained.
The step S202 may be understood as obtaining target performance data under multiple dimensions related to evaluating the heterogeneous internet of things, where the target performance data may reflect the interconnection capability of the heterogeneous internet of things to be evaluated.
Step S204, determining a target evaluation index corresponding to the target performance data in each dimension.
Aiming at the problems of distributed deployment, wide-area diversity of networks, low efficiency of network interconnection and the like of the current heterogeneous Internet of things, the target evaluation index corresponding to the target performance data determined in the embodiment of the application is a general evaluation index comprehensively formulated according to the technical characteristics and standards of the Internet of things in different industries and fields. Specifically, the types of the target evaluation index include at least one of: the method comprises the steps of resource evaluation indexes used for representing accessibility of resource information of the heterogeneous Internet of things, data evaluation indexes used for representing consistency of data information of the heterogeneous Internet of things, service evaluation indexes used for representing the degree of cooperative fusion of the heterogeneous Internet of things, network transmission indexes used for representing network transmission quality of the heterogeneous Internet of things and access delay indexes used for representing delay conditions of the heterogeneous Internet of things.
Step S206, determining the target index weight corresponding to the target evaluation index based on the subjective scores of the target objects on the target evaluation index.
The step S206 may be understood as that, the expert scores the target evaluation index based on its professional indication and history experience to obtain a corresponding subjective score, and then performs weight distribution according to the subjective score to determine the target index weight corresponding to the target evaluation index.
And step S208, evaluating the interconnection and interworking capacity of the heterogeneous Internet of things based on the target evaluation index and the corresponding target index weight.
In the technical scheme provided in step S208, the interconnection capability of the heterogeneous internet of things is comprehensively assessed by combining the target evaluation index corresponding to the target performance data and the target index weight corresponding to the target evaluation index, so as to obtain a corresponding evaluation result, wherein the evaluation result can quantitatively identify the interconnection capability level of the heterogeneous internet of things system, so as to provide reference and knowledge for a decision maker.
Based on the scheme defined in the steps S202 to S208, it can be known that, in the embodiment, by considering that the cracking between various kinds of the internet of things is serious, the network architecture is complex, various kinds of resources are autonomous heterogeneous and are difficult to merge, so that the current heterogeneous internet of things cannot adapt to the application scenario which is complex and diverse at present, therefore, an evaluation method capable of quantifying the interconnection and interworking capacity of the heterogeneous internet of things system is provided, wherein a unified evaluation index system is set by a measurement method and a standard of the interconnection and interworking capacity, and a target evaluation index corresponding to multidimensional performance data of the heterogeneous internet of things is determined by the evaluation index system, thereby achieving the purpose of quantitatively evaluating the interconnection and interworking capacity of the heterogeneous internet of things, and further solving the technical problem that the formulated evaluation index cannot accurately comprehensively evaluate the heterogeneous internet of things because the related technology does not consider the characteristics of the heterogeneous internet of things.
The above-described method of this embodiment is further described below.
As an alternative embodiment, in the solution provided in the step S202, the method may include the following steps S2021 to S2022, where:
Step S2021, acquiring initial performance data of the heterogeneous internet of things in a plurality of dimensions, wherein the dimensions of the initial performance data include at least one of: resource class, application data information, application service information, network transmission information, access delay information;
Step S2022, performing a preprocessing operation on the initial performance data to obtain target performance data, where the preprocessing operation includes at least one of: and (5) data cleaning and normalization processing.
In the embodiment, initial performance parameters for evaluating the interconnection and interworking capacity of the heterogeneous internet of things are acquired, wherein the initial performance parameters can be acquired through various data sources such as sensor data, equipment, networks, computing power, services, system logs, user feedback and the like of the internet of things; in order to ensure accuracy and reliability of the performance data, the obtained initial performance data may be preprocessed, for example: data cleaning, normalization processing and the like.
As an optional implementation manner, in the technical solution provided in step S204, the method may include: determining target evaluation indexes corresponding to the target performance data in each dimension from a preset evaluation index table, wherein the evaluation index table comprises first-level evaluation indexes corresponding to the dimensions of the performance data, each first-level evaluation index comprises a plurality of second-level evaluation indexes, and the target evaluation index is any one of the plurality of second-level evaluation indexes.
In the above embodiment, a general evaluation index table for comprehensively evaluating each heterogeneous internet of things system is formulated based on technical characteristics, standards, and the like of heterogeneous internet of things systems with different attributes, and a target evaluation index corresponding to target performance data may be found from the evaluation index table. Wherein, the evaluation index table comprises a plurality of first-level evaluation indexes corresponding to the dimension of the performance data, and the first-level evaluation indexes comprise: resource evaluation index, data evaluation index, service evaluation index, network transmission index and access delay index; in addition, each first-level evaluation index is subdivided into a plurality of second-level evaluation indexes, wherein in the embodiment of the application, the target evaluation index corresponding to the determined target performance data is the second-level evaluation index.
Specifically, the first-level evaluation indexes in the evaluation index table can be refined to obtain second-level evaluation indexes corresponding to the following first-level evaluation indexes: the resource evaluation index includes at least one of: heterogeneous resource perception anomaly rate, heterogeneous resource quantifiable rate, heterogeneous resource demand situation prediction precision and heterogeneous resource management degree; the data evaluation index includes at least one of: heterogeneous data attribute consistency and heterogeneous data interoperation consistency; the service evaluation index includes at least one of: reconfigurable hardware equipment coverage rate, heterogeneous interconnected dynamic network protocol support rate, service decoupling degree, service scheduling supportable thread number and service precision; the network transmission index includes at least one of the following: channel utilization, network utilization, heterogeneous resource access low latency occupancy, heterogeneous data transmission rate; the access delay index includes at least one of: percent response time, maximum response time, time standard deviation. The definition and specific acquisition modes of each secondary evaluation index in each primary evaluation index are respectively described in the following tables 1-4.
TABLE 1
TABLE 2
TABLE 3 Table 3
TABLE 4 Table 4
As an alternative embodiment, in the technical solution provided in the step S206, the method may include the following steps S2061-S2062, where:
Step S2061, obtaining subjective scores of target objects on target evaluation indexes;
Step S2062, converting the subjective scores into weights by adopting a preset analysis method to obtain target index weights of target evaluation indexes.
In the embodiment, through inviting experts in related fields to evaluate and score the target evaluation indexes by means of field investigation, questionnaire, third party collection and the like and combining the importance of the evaluation indexes and the actual conditions of different systems, subjective scores are obtained, and the subjective scores are converted into weights to obtain corresponding target index weights. To improve the objectivity and reliability of the evaluation result, multiple experts may be invited to score, and a reasonable score statistical method, such as an average value or a weighted average value, is adopted to determine the corresponding weight.
As an optional implementation manner, in the technical solution provided in step S208, the method may include: based on the target evaluation index and the corresponding target index weight, the interconnection and interworking capacity of the heterogeneous Internet of things is evaluated by adopting a comprehensive evaluation method to obtain a corresponding scoring result, wherein the comprehensive evaluation method comprises at least one of the following steps: delta, analytic hierarchy process, entropy method.
In this embodiment, if the entropy method is adopted, the corresponding scoring result may be obtained by calculating a weighted sum of the target evaluation index and the corresponding target index weight, where the calculation formula is as follows:
Wherein, Represents the i-th target evaluation index,/>And the target index weight corresponding to the ith target evaluation index is represented. The scoring result may be in the form of a percentile, for example, with E set to a value between 0 and 100. /(I)
Further, in order to quantitatively identify the level of the interconnection capability of the heterogeneous internet of things system, the interconnection capability of the heterogeneous internet of things may be further classified according to the evaluation result of the heterogeneous internet of things, and the specific implementation process may include:
Judging the size relation between the scoring result and a preset scoring threshold, wherein the scoring threshold comprises: a first scoring threshold, a second scoring threshold, and the first scoring threshold is greater than the second scoring threshold;
When the grading result is not lower than the first grading threshold value, determining that the interconnection and interworking capacity of the heterogeneous Internet of things is in an excellent grade;
When the grading result is lower than the first grading threshold value and not lower than the second grading threshold value, determining that the interconnection and interworking capacity of the heterogeneous Internet of things is in a good grade;
And determining that the interconnection capacity of the heterogeneous Internet of things is a qualified grade when the grading result is lower than the second grading threshold.
It should be noted that the number of the first scoring threshold value and the second scoring threshold value may be set to be plural. For example, if the scoring result is in the form of percentile, the scoring result may be set to be in a good grade in the scoring interval [ 90-100 ], the scoring result may be set to be in a good grade in the scoring interval [ 90-75 ], and the scoring result may be set to be in a general grade in the scoring interval (75-0). It should be noted that, in the embodiment of the present application, the setting of the scoring threshold is only described as an example, and may be set according to the actual situation. Through classifying the interconnection and interworking capacity of the heterogeneous Internet of things, corresponding improvement measures and strategies can be made by auxiliary decision makers aiming at heterogeneous Internet of things of different grades so as to improve the interconnection and interworking capacity of the heterogeneous Internet of things.
In addition, the comprehensive evaluation results of the heterogeneous Internet of things can be arranged and generalized so as to facilitate understanding and explaining the evaluation results, and meanwhile, corresponding evaluation reports are written, including contents such as evaluation backgrounds, evaluation methods, data analysis and evaluation results and the like, so that follow-up related personnel can conveniently check the evaluation results.
In the embodiment, the method for evaluating the interconnection and interworking capacity of the heterogeneous internet of things systems can be used for quantitatively evaluating the interoperability among different systems by defining and measuring key evaluation indexes, so that the degree of interconnection, the data exchange capacity and the function integration level among the internet of things systems can be understood. The method and the system can realize comprehensive and unified quantitative evaluation on the interconnection and interworking capacities of heterogeneous Internet of things systems by calling a pre-established rating index table, help users to better know the advantages and disadvantages of each Internet of things system, and select the most suitable system according to own requirements.
Example 2
Based on the embodiment 1 of the present application, an embodiment of a heterogeneous internet of things evaluation device is further provided, and the device executes the heterogeneous internet of things evaluation method of the embodiment when running. Fig. 3 is a schematic structural diagram of an optional heterogeneous internet of things evaluation device according to an embodiment of the present application, where, as shown in fig. 3, the heterogeneous internet of things evaluation device at least includes an obtaining module 31, a first determining module 32, a second determining module 33 and an evaluating module 34, where:
The obtaining module 31 is configured to obtain target performance data of the heterogeneous internet of things to be evaluated in multiple dimensions, where the target performance data is used to reflect interconnection capability of the heterogeneous internet of things.
Alternatively, the acquisition module 31 may be implemented as follows: acquiring initial performance data of the heterogeneous Internet of things in multiple dimensions, wherein the dimensions of the initial performance data comprise at least one of the following: resource class, application data information, application service information, network transmission information, access delay information; performing preprocessing operation on the initial performance data to obtain target performance data, wherein the preprocessing operation comprises at least one of the following steps: and (5) data cleaning and normalization processing.
The first determining module 32 is configured to determine a target evaluation index corresponding to the target performance data in each dimension.
Alternatively, the first determining module 32 may be implemented as follows: determining target evaluation indexes corresponding to the target performance data in each dimension from a preset evaluation index table, wherein the evaluation index table comprises first-level evaluation indexes corresponding to the dimensions of the performance data, each first-level evaluation index comprises a plurality of second-level evaluation indexes, and the target evaluation index is any one of the plurality of second-level evaluation indexes.
Wherein, the types of the target evaluation indexes comprise at least one of the following: the method comprises the steps of resource evaluation indexes used for representing accessibility of resource information of the heterogeneous Internet of things, data evaluation indexes used for representing consistency of data information of the heterogeneous Internet of things, service evaluation indexes used for representing the degree of cooperative fusion of the heterogeneous Internet of things, network transmission indexes used for representing network transmission quality of the heterogeneous Internet of things and access delay indexes used for representing delay conditions of the heterogeneous Internet of things.
Specifically, the resource evaluation index, the data evaluation index, the service evaluation index, the network transmission index and the access delay index are first-level evaluation indexes in the evaluation index table, so that the first-level evaluation indexes can be further refined into a plurality of second-level indexes as follows:
The resource evaluation index includes at least one of: heterogeneous resource perception anomaly rate, heterogeneous resource quantifiable rate, heterogeneous resource demand situation prediction precision and heterogeneous resource management degree;
the data evaluation index includes at least one of: heterogeneous data attribute consistency and heterogeneous data interoperation consistency;
The service valuation indicator comprises at least one of: reconfigurable hardware equipment coverage rate, heterogeneous interconnected dynamic network protocol support rate, service decoupling degree, service scheduling supportable thread number and service precision;
the network transmission index includes at least one of: channel utilization, network utilization, heterogeneous resource access low latency occupancy, heterogeneous data transmission rate;
The access delay index includes at least one of: percent response time, maximum response time, time standard deviation.
The second determining module 33 is configured to determine a target index weight corresponding to the target evaluation index based on a subjective score of the target object on the target evaluation index.
Alternatively, the second determining module 33 may be implemented as follows: obtaining subjective scores of target objects on target evaluation indexes; and converting the subjective scores into weights by adopting a preset analysis method to obtain target index weights of target evaluation indexes.
And the evaluation module 34 is used for evaluating the interconnection and interworking capability of the heterogeneous Internet of things based on the target evaluation index and the corresponding target index weight.
Alternatively, the above evaluation index 34 may be realized by: based on the target evaluation index and the corresponding target index weight, the interconnection and interworking capacity of the heterogeneous Internet of things is evaluated by adopting a comprehensive evaluation method to obtain a corresponding scoring result, wherein the scoring result is in a percentile form, and the comprehensive evaluation method comprises at least one of the following steps: delta, analytic hierarchy process, entropy method.
Further, the evaluation module 34 may further classify the interconnection capability of the heterogeneous internet of things in the following manner: judging the size relation between the scoring result and a preset scoring threshold, wherein the scoring threshold comprises: a first scoring threshold, a second scoring threshold, and the first scoring threshold is greater than the second scoring threshold; when the grading result is not lower than the first grading threshold value, determining that the interconnection and interworking capacity of the heterogeneous Internet of things is in an excellent grade; when the grading result is lower than the first grading threshold value and not lower than the second grading threshold value, determining that the interconnection and interworking capacity of the heterogeneous Internet of things is in a good grade; and determining that the interconnection capacity of the heterogeneous Internet of things is a qualified grade when the grading result is lower than the second grading threshold.
In the embodiment of the present application, the setting of the scoring threshold is only described as an example, and may be set according to the actual situation.
Note that each module in the heterogeneous internet of things evaluation device may be a program module (for example, a set of program instructions for implementing a specific function), or may be a hardware module, and for the latter, it may be represented by the following form, but is not limited thereto: the expression forms of the modules are all a processor, or the functions of the modules are realized by one processor.
Example 3
According to an embodiment of the present application, there is also provided a nonvolatile storage medium having a program stored therein, wherein when the program runs, a device in which the nonvolatile storage medium is controlled to execute the heterogeneous internet of things evaluation method in embodiment 1.
Optionally, the device where the nonvolatile storage medium is located performs the following steps by running the program:
Step S202, target performance data of the heterogeneous Internet of things to be evaluated in multiple dimensions are obtained, wherein the target performance data are used for reflecting interconnection and interworking capacity of the heterogeneous Internet of things;
Step S204, determining a target evaluation index corresponding to the target performance data in each dimension, wherein the type of the target evaluation index comprises at least one of the following: the system comprises a resource evaluation index for representing accessibility of resource information of the heterogeneous Internet of things, a data evaluation index for representing consistency of data information of the heterogeneous Internet of things, a service evaluation index for representing the degree of cooperative fusion of the heterogeneous Internet of things, a network transmission index for representing network transmission quality of the heterogeneous Internet of things, and an access delay index for representing delay condition of the heterogeneous Internet of things;
step S206, determining the target index weight corresponding to the target evaluation index based on the subjective scores of the target object on the target evaluation index;
and step S208, evaluating the interconnection and interworking capacity of the heterogeneous Internet of things based on the target evaluation index and the corresponding target index weight.
According to an embodiment of the present application, there is also provided a computer program product comprising a stored computer program, wherein the computer program, when executed by a processor, implements the heterogeneous internet of things evaluation method of embodiment 1.
Optionally, the computer program execution implements the steps of:
Step S202, target performance data of the heterogeneous Internet of things to be evaluated in multiple dimensions are obtained, wherein the target performance data are used for reflecting interconnection and interworking capacity of the heterogeneous Internet of things;
Step S204, determining a target evaluation index corresponding to the target performance data in each dimension, wherein the type of the target evaluation index comprises at least one of the following: the system comprises a resource evaluation index for representing accessibility of resource information of the heterogeneous Internet of things, a data evaluation index for representing consistency of data information of the heterogeneous Internet of things, a service evaluation index for representing the degree of cooperative fusion of the heterogeneous Internet of things, a network transmission index for representing network transmission quality of the heterogeneous Internet of things, and an access delay index for representing delay condition of the heterogeneous Internet of things;
step S206, determining the target index weight corresponding to the target evaluation index based on the subjective scores of the target object on the target evaluation index;
and step S208, evaluating the interconnection and interworking capacity of the heterogeneous Internet of things based on the target evaluation index and the corresponding target index weight.
According to an embodiment of the present application, there is further provided a processor, configured to execute a program, where the program executes the heterogeneous internet of things evaluation method in embodiment 1 when running.
Optionally, the program execution realizes the following steps:
Step S202, target performance data of the heterogeneous Internet of things to be evaluated in multiple dimensions are obtained, wherein the target performance data are used for reflecting interconnection and interworking capacity of the heterogeneous Internet of things;
Step S204, determining a target evaluation index corresponding to the target performance data in each dimension, wherein the type of the target evaluation index comprises at least one of the following: the system comprises a resource evaluation index for representing accessibility of resource information of the heterogeneous Internet of things, a data evaluation index for representing consistency of data information of the heterogeneous Internet of things, a service evaluation index for representing the degree of cooperative fusion of the heterogeneous Internet of things, a network transmission index for representing network transmission quality of the heterogeneous Internet of things, and an access delay index for representing delay condition of the heterogeneous Internet of things;
step S206, determining the target index weight corresponding to the target evaluation index based on the subjective scores of the target object on the target evaluation index;
and step S208, evaluating the interconnection and interworking capacity of the heterogeneous Internet of things based on the target evaluation index and the corresponding target index weight.
There is also provided, in accordance with an embodiment of the present application, an electronic device, wherein the electronic device includes one or more processors; and a memory for storing one or more programs, which when executed by the one or more processors, cause the one or more processors to implement a method for running the program, wherein the program is configured to perform the heterogeneous internet of things evaluation method in embodiment 1 described above when run.
Optionally, the processor is configured to implement the following steps by computer program execution:
Step S202, target performance data of the heterogeneous Internet of things to be evaluated in multiple dimensions are obtained, wherein the target performance data are used for reflecting interconnection and interworking capacity of the heterogeneous Internet of things;
Step S204, determining a target evaluation index corresponding to the target performance data in each dimension, wherein the type of the target evaluation index comprises at least one of the following: the system comprises a resource evaluation index for representing accessibility of resource information of the heterogeneous Internet of things, a data evaluation index for representing consistency of data information of the heterogeneous Internet of things, a service evaluation index for representing the degree of cooperative fusion of the heterogeneous Internet of things, a network transmission index for representing network transmission quality of the heterogeneous Internet of things, and an access delay index for representing delay condition of the heterogeneous Internet of things;
step S206, determining the target index weight corresponding to the target evaluation index based on the subjective scores of the target object on the target evaluation index;
and step S208, evaluating the interconnection and interworking capacity of the heterogeneous Internet of things based on the target evaluation index and the corresponding target index weight.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of units may be a logic function division, and there may be another division manner in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the related art or all or part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application, which are intended to be comprehended within the scope of the present application.
Claims (9)
1. The heterogeneous Internet of things evaluation method is characterized by comprising the following steps of:
acquiring target performance data of the heterogeneous Internet of things to be evaluated in multiple dimensions, wherein the target performance data are used for reflecting the interconnection and interworking capacity of the heterogeneous Internet of things;
Determining a target evaluation index corresponding to the target performance data in each dimension, wherein the type of the target evaluation index comprises: the system comprises a resource evaluation index for representing accessibility of resource information of the heterogeneous Internet of things, a data evaluation index for representing consistency of data information of the heterogeneous Internet of things, a service evaluation index for representing the degree of cooperative fusion of the heterogeneous Internet of things, a network transmission index for representing network transmission quality of the heterogeneous Internet of things, and an access delay index for representing delay condition of the heterogeneous Internet of things, wherein the resource evaluation index comprises: heterogeneous resource perception anomaly rate, heterogeneous resource quantifiable rate, heterogeneous resource demand situation prediction precision and heterogeneous resource management degree; the data evaluation index comprises: heterogeneous data attribute consistency and heterogeneous data interoperation consistency; the service evaluation index includes: reconfigurable hardware equipment coverage rate, heterogeneous interconnected dynamic network protocol support rate, service decoupling degree, service scheduling supportable thread number and service precision; the network transmission index includes: channel utilization, network utilization, heterogeneous resource access low latency occupancy, heterogeneous data transmission rate; the access delay index includes: percentage response time, maximum response time, time standard deviation;
Determining a target index weight corresponding to the target evaluation index based on subjective scores of target objects on the target evaluation index;
And evaluating the interconnection and interworking capacity of the heterogeneous Internet of things based on the target evaluation index and the corresponding target index weight.
2. The method of claim 1, wherein obtaining target performance data for the heterogeneous internet of things under evaluation in multiple dimensions comprises:
Acquiring initial performance data of the heterogeneous Internet of things in multiple dimensions, wherein the dimensions of the initial performance data comprise: resource class, application data information, application service information, network transmission information, access delay information;
Performing preprocessing operation on the initial performance data to obtain the target performance data, wherein the preprocessing operation comprises at least one of the following steps: and (5) data cleaning and normalization processing.
3. The method of claim 2, wherein determining a target evaluation index for the target performance data in each dimension comprises:
Determining target evaluation indexes corresponding to the target performance data in each dimension from a preset evaluation index table, wherein the evaluation index table comprises first-level evaluation indexes corresponding to the dimensions of the performance data, each first-level evaluation index comprises a plurality of second-level evaluation indexes, and the target evaluation index is any one of the plurality of second-level evaluation indexes.
4. The method of claim 1, wherein determining a target indicator weight corresponding to the target evaluation indicator based on subjective scores of target objects on the target evaluation indicator comprises:
Obtaining subjective scores of target objects on the target evaluation indexes;
And converting the subjective scores into weights by adopting a preset analysis method to obtain target index weights of the target evaluation indexes.
5. The method of claim 1, wherein evaluating the interworking capability of the heterogeneous internet of things based on the target evaluation index and the corresponding target index weight comprises:
Based on the target evaluation index and the corresponding target index weight, evaluating the interconnection and interworking capacity of the heterogeneous Internet of things by adopting a comprehensive evaluation method to obtain a corresponding grading result, wherein the comprehensive evaluation method comprises at least one of the following steps: delta, analytic hierarchy process, entropy method.
6. The method of claim 5, wherein after evaluating the interworking capability of the heterogeneous internet of things based on the target evaluation index and the corresponding target index weight, the method further comprises:
Judging the size relation between the scoring result and a preset scoring threshold, wherein the scoring threshold comprises: a first scoring threshold, a second scoring threshold, and the first scoring threshold is greater than the second scoring threshold;
when the scoring result is not lower than the first scoring threshold value, determining that the interconnection and interworking capability of the heterogeneous Internet of things is in an excellent grade;
When the scoring result is lower than the first scoring threshold and not lower than the second scoring threshold, determining that the interconnection and interworking capability of the heterogeneous Internet of things is in a good grade;
And determining that the interconnection and interworking capacity of the heterogeneous Internet of things is qualified grade when the scoring result is lower than the second scoring threshold.
7. Heterogeneous internet of things evaluation device, characterized by comprising:
The system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring target performance data of the heterogeneous Internet of things to be evaluated in multiple dimensions, wherein the target performance data is used for reflecting the interconnection and interworking capacity of the heterogeneous Internet of things;
The first determining module is configured to determine a target evaluation index corresponding to the target performance data in each dimension, where a type of the target evaluation index includes: the system comprises a resource evaluation index for representing accessibility of resource information of the heterogeneous Internet of things, a data evaluation index for representing consistency of data information of the heterogeneous Internet of things, a service evaluation index for representing the degree of cooperative fusion of the heterogeneous Internet of things, a network transmission index for representing network transmission quality of the heterogeneous Internet of things, and an access delay index for representing delay condition of the heterogeneous Internet of things, wherein the resource evaluation index comprises: heterogeneous resource perception anomaly rate, heterogeneous resource quantifiable rate, heterogeneous resource demand situation prediction precision and heterogeneous resource management degree; the data evaluation index comprises: heterogeneous data attribute consistency and heterogeneous data interoperation consistency; the service evaluation index includes: reconfigurable hardware equipment coverage rate, heterogeneous interconnected dynamic network protocol support rate, service decoupling degree, service scheduling supportable thread number and service precision; the network transmission index includes: channel utilization, network utilization, heterogeneous resource access low latency occupancy, heterogeneous data transmission rate; the access delay index includes: percentage response time, maximum response time, time standard deviation;
the second determining module is used for determining target index weights corresponding to the target evaluation indexes based on subjective scores of the target objects on the target evaluation indexes;
and the evaluation module is used for evaluating the interconnection and interworking capacity of the heterogeneous Internet of things based on the target evaluation index and the corresponding target index weight.
8. A non-volatile storage medium, wherein a computer program is stored in the non-volatile storage medium, and wherein a device in which the non-volatile storage medium is located executes the heterogeneous internet of things evaluation method according to any one of claims 1 to 6 by running the computer program.
9. A computer program product, comprising: computer program, wherein the computer program, when executed by a processor, implements the heterogeneous internet of things evaluation method of any one of claims 1 to 6.
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