CN112260941B - Heterogeneous network data fusion method - Google Patents
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- H—ELECTRICITY
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Abstract
The invention discloses a heterogeneous network data fusion method, and provides a network fusion framework of an MAC (media access control) intermediate layer and a novel heterogeneous data fusion algorithm aiming at the characteristic that heterogeneous network data obtained after multi-mode protocol difference format conversion still has heterogeneity so as to realize heterogeneous network communication data fusion and optimize the heterogeneous network communication quality. The invention realizes the simplified setting of heterogeneous network access by adding the MAC intermediate layer, and simplifies the network access of various monitoring devices of the power distribution network. By adopting a fuzzy multi-attribute decision method based on strategy weight and utilizing the characteristic that the OWA operator has stronger control and resisting capability on the strategy weight, the superiority and the accuracy of the fusion decision information are improved. By improving the optimization decision performance, the monitoring decision of state information, operation environment information, security information, video monitoring, various auxiliary information and the like of the power distribution network equipment is realized.
Description
Technical Field
The invention relates to the field of electrical engineering science and the field of application of power distribution internet of things, in particular to a heterogeneous network data fusion method.
Background
With the deep research and gradual application of the power internet of things technology, massive power sensing network equipment has been deployed in the market, and the data traffic of the network shows explosive growth. The expenditure for building and upgrading the access network is continuously increased, and various access networks are repeatedly covered, but the comprehensive coverage of the network still cannot be realized; the existing different access network devices have poor interconnection and interoperability, complex access authentication process and incapability of automatically switching terminal devices among the access networks, which seriously affects user experience. In addition, different access networks cannot share the bandwidth capability, and the bandwidth resource utilization rate of various access network technologies is very low. In this situation, it is important to design a network convergence architecture suitable for mobile internet, high performance and low cost.
The heterogeneous network utilizes various existing communication systems, fully utilizes complementary characteristics among different networks, realizes interconnection and intercommunication through organic fusion among the systems, is a very effective mode for making up for deficiencies among a plurality of systems to meet the requirements of future mobile communication services, can make good use of advantages and avoid disadvantages, and exerts respective advantages. Through an intelligent wide access mode of a multimode terminal, various networks of different types provide various communication access services for users together, so that the self-adaption and self-organization in a real sense are realized, and the end-to-end service quality is realized.
Disclosure of Invention
The invention aims to: in view of the above defects in the prior art, the present invention provides a heterogeneous network data fusion method, and provides a network fusion architecture of an MAC middle layer and a novel heterogeneous data fusion method for solving the problem that heterogeneous network data obtained after a multimode protocol difference format conversion still has heterogeneity, so as to implement heterogeneous network communication data fusion and optimize heterogeneous network communication quality.
The technical scheme is as follows: in order to realize the purpose of the invention, the technical scheme adopted by the invention comprises two parts: a heterogeneous network data fusion method comprises the following steps:
the first step is as follows: collecting communication data accessed by different terminal devices through different communication networks, and storing the heterogeneous network communication data in a database;
the second step is that: adding an MAC intermediate layer between an MAC layer and a network layer, correspondingly mapping a network layer interface protocol and an MAC interface protocol, and converting heterogeneous network communication data;
the third step: extracting heterogeneous network communication data from the converted heterogeneous network communication database, and converting the heterogeneous network communication data into decision-making approval levels according to the different types of the heterogeneous network communication data;
the fourth step: according to a power fusion decision target, selecting a fuzzy semantic quantization standard, and setting an OWA operator weight vector; converting the approved level value by adopting a fuzzy decision method according to the confidence coefficient of each heterogeneous network communication data source;
the fifth step: calculating the final decision value of each decision according to the OWA operator weight vector and the converted acceptance level; and implementing a fusion decision according to the size of the decision value to complete the fusion of the communication data of the heterogeneous network.
Further, the heterogeneous network communication data fusion has m decisions (B) 1 ,B 2 ,...,B m ) The n converted heterogeneous network data sources are (Z) 1 ,Z 2 ,...,Z n ) Setting the confidence coefficient of the jth heterogeneous network communication data source as q j (ii) a Acceptance level Z of jth heterogeneous network communication data source to ith decision object ji ＝(b ji ,c ji ,d ji )，0≤b ji ≤c ji ≤d ji ≤1；b ji ,c ji ,d ji Triangular blur number representing acceptance level, c ji Indicating the degree of approval of the decision, b ji ,d ji Is a boundary value of the degree of recognition;
OWA operator weight vector
If the fuzzy decision method is adopted to implement conversion, the following steps are provided:
Z ji-min ＝q j ×Z ji ，Z ji-max ＝q j +Z ji -q j ×Z ji ，
in the formula Z ji-min 、Z ji-max 、Z ji-average Respectively the minimum value, the maximum value and the average value of the acceptance of the jth heterogeneous network data source to the ith decision;
computing the final decision value z for each decision i ：
In the formula, c ji Indicating a degree of acceptance of the decision,
representing the jth OWA operator weight.
Has the advantages that: compared with the prior art, the technical scheme of the invention has the following beneficial technical effects:
the heterogeneous network data fusion method provided by the invention realizes simplified setting of heterogeneous network access by adding an MAC intermediate layer, for example, the need that a user needs to input different passwords when accessing each link is eliminated. Meanwhile, the network access of the new equipment is simplified, the safe connection is established, the network coverage is expanded, and the functions of advanced network management including discovery, flow control, path selection and quality of service (QoS) negotiation are provided. The novel heterogeneous data fusion algorithm adopts a fuzzy multi-attribute decision method based on strategy weight, and improves superiority and accuracy of fusion decision information by utilizing the characteristics of stronger strategy weight control resisting capability of an OWA operator and the like.
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FIG. 1 is a flow chart of an implementation of the method of the present invention;
fig. 2 is a diagram of a MAC middle layer bridge architecture.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular internal procedures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
The invention provides a novel heterogeneous data fusion method aiming at the characteristic that heterogeneous network data obtained after multi-mode protocol difference format conversion still has heterogeneity, so as to realize heterogeneous network communication data fusion and optimize heterogeneous network communication quality. As shown in fig. 1, the specific implementation of the data fusion method in the heterogeneous network is described as follows:
the first step is as follows: collecting communication data accessed by different terminal devices through different communication networks, and storing the communication data of the heterogeneous network into a database;
the second step: adding an MAC intermediate layer between an MAC layer and a network layer, correspondingly mapping a network layer interface protocol and an MAC interface protocol, and converting heterogeneous network communication data;
the third step: extracting heterogeneous network communication data from the converted heterogeneous network communication database, and converting the heterogeneous network communication data into decision-making approval levels according to the different types of the heterogeneous network communication data;
the fourth step: according to a power fusion decision target, selecting a fuzzy semantic quantization standard, and setting an OWA (Ordered Weighted average) operator weight vector; converting the approved level value by adopting a fuzzy decision method according to the confidence coefficient of each heterogeneous network communication data source;
the fuzzy semantic rule is divided into "most", "half" and "as much as possible", and the parameters thereof are set to (0.31, 0.81), (0, 0.06) and (0.6, 1.1) in this order, so that the fuzzy semantic quantizer g (y) can be obtained according to the parameters. According to g (y), calculating the weight vector of OWA operator
m describes the number of decisions for the heterogeneous network communication data source.
The fifth step: calculating the final decision value of each decision according to the OWA operator weight vector and the converted acceptance level; and implementing a fusion decision according to the size of the decision value to complete the fusion of the communication data of the heterogeneous network.
There are m decisions (B) to set the heterogeneous network communication data fusion 1 ,B 2 ,...,B m ) The n converted heterogeneous network data sources are (Z) 1 ,Z 2 ,...,Z n ) Setting the confidence coefficient of the jth heterogeneous network communication data source as q j (ii) a Acceptance level Z of jth heterogeneous network communication data source to ith decision object ji ＝(b ji ,c ji ,d ji )，0≤b ji ≤c ji ≤d ji ≤1；b ji ,c ji ,d ji Triangular blur number representing acceptance level, c ji Indicating the degree of approval of the decision, b ji ,d ji Is a boundary value of the degree of recognition;
OWA operator weight vector
If the conversion is implemented by adopting a fuzzy decision method, the following steps are provided:
Z ji-min ＝q j ×Z ji ，Z ji-max ＝q j +Z ji -q j ×Z ji ，
in the formula Z ji-min 、Z ji-max 、Z ji-average Respectively the minimum value, the maximum value and the average value of the recognition of the jth heterogeneous network data source to the ith decision;
computing the final decision value z for each decision i ：
In the formula, c ji Indicating the degree of acceptance of the decision,
representing the jth OWA operator weight.
The invention provides a network convergence framework of an MAC (media access control) middle layer aiming at the network access condition of multiple communication type terminal equipment of a power distribution internet of things. The architecture defines a MAC intermediate layer between the MAC layer and the network layer, and provides a unified scheme for the fusion of various network MAC layers, and unifies Ethernet technology and non-Ethernet technology. The MAC middle layer belongs to a form of middleware and provides an extensible universal network access interface for upper and lower heterogeneous access network protocols. The MAC intermediate layer maps the upper layer network interface protocol and the bottom layer heterogeneous access MAC interface protocol correspondingly; the traditional single P2P interface access form is converted into a bus-like shared access form of a middleware interface.
The MAC middle layer supports port selection for the transfer of data frames, which may be from any application higher or lower layer interface, to and from which data frames may arrive and be transferred, regardless of the upper layer protocol or underlying network technology. The MAC middle layer abstracts the detailed information of each bottom layer interface, and can aggregate the available bandwidth of various technologies through link scheduling, thereby realizing the seamless integration of each bottom layer technology.
The converged network bridge architecture based on the MAC middle layer is shown in fig. 2, the MAC middle layer of the converged network bridge is connected with different heterogeneous network access technologies, converts different types of access protocols, performs frame parsing and repackaging according to the corresponding transmission technology type, and can perform frame fragmentation and frame reassembly on different protocol data frames if necessary. The multi-access terminal based on the MAC middle layer can realize multi-link multiplexing, including terminal uplink and downlink demultiplexing. The uplink multiplexing converges the data flow from the Ethernet MAC layer and the uplink data flow from the non-Ethernet MAC layer, and the converged data frames are uniformly transmitted to the network layer of the multi-access terminal; the downlink demultiplexing carries out downlink demultiplexing on a downlink IP packet from a multi-access terminal network layer through a link scheduling mechanism, and distributes data frames to a plurality of bottom layer links for transmission.
The heterogeneous network fusion information comprises equipment state information, environment information, security information, video monitoring and various auxiliary information and the like. The goals of the fusion decision include: monitoring the safety of the distribution network, such as judging the invasion of foreign matters, fire alarm and the like; processing the linkage control information of the distribution network equipment, such as starting linkage control commands of an air conditioner, a fan and the like according to the environmental information; and the decision processing of the equipment state information comprises equipment state real-time monitoring, equipment state comprehensive evaluation, equipment situation perception, fault prejudgment and the like.
Specific embodiments of the present invention have been described above in detail. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (1)
1. A heterogeneous network data fusion method is characterized in that: the method comprises the following steps:
the first step is as follows: collecting communication data accessed by different terminal devices through different communication networks, and storing the heterogeneous network communication data in a database;
the second step is that: adding an MAC intermediate layer between an MAC layer and a network layer, correspondingly mapping a network layer interface protocol and an MAC interface protocol, and converting heterogeneous network communication data;
the third step: extracting heterogeneous network communication data from the converted heterogeneous network communication database, and converting the heterogeneous network communication data into decision-making recognition level according to the different types of the heterogeneous network communication data;
the fourth step: according to a power fusion decision target, selecting a fuzzy semantic quantization standard, and setting an OWA operator weight vector; converting the approved level value by adopting a fuzzy decision method according to the confidence coefficient of each heterogeneous network communication data source;
the fifth step: calculating the final decision value of each decision according to the OWA operator weight vector and the converted acceptance level; implementing a fusion decision according to the size of the decision value to complete the fusion of the heterogeneous network communication data;
there are m decisions for heterogeneous network communication data fusion (B) 1 ,B 2 ,...,B m ) The n converted heterogeneous network data sources are (Z) 1 ,Z 2 ,...,Z n ) Setting the confidence coefficient of the jth heterogeneous network communication data source as q j (ii) a Acceptance level Z of jth heterogeneous network communication data source to ith decision object ji ＝(b ji ,c ji ,d ji )，0≤b ji ≤c ji ≤d ji ≤1；b ji ,c ji ,d ji Triangular blur number representing acceptance level, c ji Indicating the degree of approval of the decision, b ji ,d ji Is a boundary value of the degree of recognition;
OWA operator weight vector
If the fuzzy decision method is adopted to implement conversion, the following steps are provided:
Z ji-min ＝q j ×Z ji ，Z ji-max ＝q j +Z ji -q j ×Z ji ，
in the formula Z ji-min 、Z ji-max 、Z ji-average Respectively the minimum value, the maximum value and the average value of the acceptance of the jth heterogeneous network data source to the ith decision;
computing the final decision value z for each decision i ：
In the formula, c ji Indicating the degree of acceptance of the decision,
representing the jth OWA operator weight.
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| CN106130833A (en) * | 2016-06-20 | 2016-11-16 | 西安电子科技大学 | Home network fusion method based on Inter MAC layer and device |
| CN109460952A (en) * | 2018-10-25 | 2019-03-12 | 北京卫星信息工程研究所 | Heterogeneous network converged communication device and communication means for Emergency Logistics |
| WO2020029411A1 (en) * | 2018-08-10 | 2020-02-13 | 北京邮电大学 | Method and apparatus for handover between heterogeneous networks |
| CN111447084A (en) * | 2020-03-19 | 2020-07-24 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | A method and system for interconnection and fusion of heterogeneous industrial networks |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106130833A (en) * | 2016-06-20 | 2016-11-16 | 西安电子科技大学 | Home network fusion method based on Inter MAC layer and device |
| WO2020029411A1 (en) * | 2018-08-10 | 2020-02-13 | 北京邮电大学 | Method and apparatus for handover between heterogeneous networks |
| CN109460952A (en) * | 2018-10-25 | 2019-03-12 | 北京卫星信息工程研究所 | Heterogeneous network converged communication device and communication means for Emergency Logistics |
| CN111447084A (en) * | 2020-03-19 | 2020-07-24 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | A method and system for interconnection and fusion of heterogeneous industrial networks |
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