CN114328630B - Equipment identification system based on Internet of things - Google Patents
Equipment identification system based on Internet of things Download PDFInfo
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- CN114328630B CN114328630B CN202210079411.9A CN202210079411A CN114328630B CN 114328630 B CN114328630 B CN 114328630B CN 202210079411 A CN202210079411 A CN 202210079411A CN 114328630 B CN114328630 B CN 114328630B
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Abstract
The invention provides an equipment identification system based on the Internet of things, which comprises an equipment scanning module, wherein equipment scanning is performed through the equipment scanning module, equipment storage information in an equipment library module of the Internet of things is compared with equipment storage information in the equipment library module of the Internet of things, the equipment library module of the Internet of things is in data connection with an equipment feature extraction module of the Internet of things, an equipment image feature identification module of the Internet of things is in data connection with an equipment part identification module of the Internet of things, an equipment part identification module of the Internet of things is in data connection with an equipment analysis identification module of the Internet of things, the equipment of the Internet of things is analyzed and identified through the equipment analysis identification module of the Internet of things, the equipment analysis identification module of the Internet of things is in data connection with an equipment identification result algorithm feedback module of the Internet of things, and an equipment identification display module of the Internet of things is in data connection with an equipment identification display module of the Internet of things.
Description
Technical Field
The invention relates to the field of equipment identification systems, in particular to an equipment identification system based on the Internet of things.
Background
The existing internet of things needs to be connected with a large amount of equipment in the using process, but the existing equipment of the internet of things needs to be improved in the managing process, and the defects are as follows:
firstly, the existing system lacks a device identification system of the Internet of things, secondly cannot meet the requirements of coding the device of the Internet of things and carrying out algorithm analysis on the coding, secondly cannot meet the requirements of feature extraction on the device of the Internet of things, and meanwhile, the device of the Internet of things does not have the problem of carrying out algorithm feedback on an identification result after analysis and identification, so that improvement is carried out, and the device identification system based on the Internet of things is provided.
Disclosure of Invention
The invention aims at: aiming at the problems of the prior art, in order to achieve the purposes of the invention, the invention provides the following technical scheme, namely a device identification system based on the Internet of things, so as to improve the problems, and the invention is specifically as follows: the device comprises a device scanning module, the device scanning module is in data connection with an Internet of things device library module, the device scanning module is used for scanning devices and comparing with device storage information in the Internet of things device library module, the Internet of things device library module is in data connection with an Internet of things device feature extraction module, the Internet of things device feature extraction module is used for feature extraction of Internet of things devices, the Internet of things device feature extraction module is in data connection with an Internet of things device coding module, the Internet of things device coding module is in data connection with an Internet of things coding library module, the Internet of things device coding algorithm analysis module is in data connection with an Internet of things device image feature recognition module, the Internet of things device feature recognition module is in data connection with an Internet of things device feature recognition module, the Internet of things device feature recognition module is used for analysis recognition of things devices through the Internet of things device analysis recognition module, the Internet of things device analysis recognition module is in data connection with an Internet of things device recognition result feedback module, and the Internet of things device recognition algorithm is displayed through the Internet of things device feedback module, and the Internet of things device recognition module is displayed through the Internet of things device feedback module.
According to the technical scheme, the equipment scanning module comprises an equipment scanning unit and an equipment scanning storage unit, wherein the scanning unit is in data connection with the equipment scanning storage unit, and the scanning unit is in data connection with the equipment scanning storage unit and the Internet of things equipment library module.
As the preferable technical scheme of this application, thing networking equipment library module includes equipment coding unit and equipment model unit, equipment coding unit with equipment model unit data connection, equipment coding unit with equipment model unit with thing networking equipment feature draws module data connection.
As the preferred technical scheme of this application, thing networking equipment characteristic draws the module and includes thing networking equipment part characteristic unit and thing networking equipment trade characteristic unit data connection, thing networking equipment part characteristic unit with thing networking equipment trade characteristic unit data connection, thing networking equipment trade characteristic unit with thing networking equipment coding module data connection.
As the preferable technical scheme of this application, thing networking equipment coding module includes equipment classification coding unit and equipment model coding unit, equipment classification coding unit with equipment model coding unit data connection, equipment classification coding unit with equipment model coding unit with thing networking code library module data connection.
As the preferred technical scheme of this application, thing networking device code library module includes thing networking device code storage unit and thing networking device code extraction element, thing networking device code storage unit with thing networking device code extraction element data connection, thing networking device code storage unit with thing networking device code extraction element with thing networking device code algorithm analysis module data connection.
As the preferable technical scheme of the application, the Internet of things equipment coding algorithm analysis module comprises an Internet of things equipment coding storage unit, an Internet of things equipment coding retrieval unit and an Internet of things equipment coding comparison unit, performs coding retrieval through the Internet of things equipment coding retrieval unit, extracts from the Internet of things equipment coding storage unit, and performs coding comparison analysis on the extraction through the Internet of things equipment coding comparison unit.
As the preferable technical scheme of the application, the image feature recognition module of the Internet of things equipment comprises an image feature extraction unit and a graphic part feature extraction unit, and the image feature extraction unit and the graphic part feature extraction unit are in data connection with the image feature extraction unit and the graphic part feature extraction unit.
As the preferred technical scheme of this application, thing networking equipment discernment result algorithm feedback module includes equipment discernment model feedback unit and equipment outward appearance discernment feedback unit, equipment discernment model feedback unit with equipment outward appearance discernment feedback unit data connection, equipment discernment model feedback unit with equipment outward appearance discernment feedback unit with the equipment discernment display module data connection of thing networking.
As the preferable technical scheme of the application, the equipment identification display module of the Internet of things comprises an equipment industry display unit, an equipment model display unit and an equipment purpose display unit, and the equipment industry display unit is in data connection with the equipment model display unit and the equipment purpose display unit.
Compared with the prior art, the invention has the beneficial effects that:
in the scheme of the application:
1. the device scanning module is in data connection with the Internet of things device library module, the device scanning module is used for scanning devices and comparing the device scanning with the device storage information in the Internet of things device library module, the Internet of things device library module is in data connection with the Internet of things device feature extraction module, and the Internet of things device feature extraction module is used for extracting features of the Internet of things device;
2. the method comprises the steps that through data connection of an Internet of things equipment feature extraction module and an Internet of things equipment coding module, the Internet of things equipment coding module is connected with an Internet of things coding library module, the Internet of things coding library module is connected with an Internet of things equipment coding algorithm analysis module, the Internet of things equipment coding algorithm analysis module is connected with an Internet of things equipment image feature identification module, the Internet of things equipment image feature identification module is connected with an Internet of things equipment part identification module, the Internet of things equipment part identification module is connected with an Internet of things equipment analysis identification module, and the Internet of things equipment is analyzed and identified through the Internet of things equipment analysis identification module;
3. the Internet of things equipment analysis and identification module is in data connection with the Internet of things equipment identification result algorithm feedback module, the Internet of things equipment identification result algorithm feedback module is in data connection with the Internet of things equipment identification display module, and the Internet of things equipment identification result is displayed through the Internet of things equipment identification display module.
Description of the drawings:
fig. 1 is a flowchart provided in the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. It is clear that the described embodiment is a specific implementation of the invention and is not limited to all embodiments.
Thus, the following detailed description of the embodiments of the invention is not intended to limit the scope of the invention, as claimed, but is merely representative of some embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
According to FIG. 1, an Internet of things-based device identification system comprises a device scanning module, the device scanning module is in data connection with an Internet of things device library module, device scanning is conducted through the device scanning module, device storage information in the Internet of things device library module is compared with device storage information in the Internet of things device library module, the Internet of things device library module is in data connection with an Internet of things device feature extraction module, the Internet of things device feature extraction module is in data connection with an Internet of things device coding module, the Internet of things device coding module is in data connection with an Internet of things coding library module, the Internet of things coding algorithm analysis module is in data connection with an Internet of things device coding algorithm analysis module, the Internet of things device image feature recognition module is in data connection with an Internet of things device part recognition module, the Internet of things device part recognition module is in data connection with the Internet of things device analysis recognition module, the Internet of things device analysis recognition module is used for analyzing and recognizing Internet of things device, the Internet of things device analysis recognition module is in data connection with an Internet of things device recognition result algorithm feedback module, and the Internet of things device recognition result feedback module is in data connection with an Internet of things device recognition algorithm, and the Internet of things device recognition result display module is in data connection with the Internet of things device display module, and the Internet of things device recognition module is displayed by the Internet of things device recognition module.
As a preferred embodiment, on the basis of the above mode, the device scanning module further includes a device scanning unit and a device scanning storage unit, the scanning unit is in data connection with the device scanning storage unit and the internet of things device library module, the internet of things device library module includes a device coding unit and a device model unit, the device coding unit is in data connection with the device model unit, and the device coding unit is in data connection with the device model unit and the internet of things device feature extraction module.
According to the method, the device characteristic extraction module comprises a device characteristic unit of the Internet of things and a device characteristic unit data connection of the Internet of things industry, the device characteristic unit of the Internet of things and a device coding module data connection of the Internet of things, the device coding module of the Internet of things comprises a device classification coding unit and a device model coding unit, the device classification coding unit and the device model coding unit are connected in a data connection mode, and the device classification coding unit and the device model coding unit are connected with the Internet of things coding library module data connection.
According to the method, the Internet of things coding library module comprises an Internet of things equipment coding storage unit and an Internet of things equipment coding extraction unit, the Internet of things equipment coding storage unit and the Internet of things equipment coding extraction unit are in data connection with the Internet of things equipment coding algorithm analysis module, the Internet of things equipment coding algorithm analysis module comprises an Internet of things equipment coding storage unit, an Internet of things equipment coding retrieval unit and an Internet of things equipment coding comparison unit, the Internet of things equipment coding retrieval unit is used for conducting coding retrieval, the Internet of things equipment coding retrieval unit is used for conducting extraction, and the Internet of things equipment coding comparison unit is used for conducting code comparison analysis on the extraction.
As a preferred embodiment, on the basis of the above manner, the image feature recognition module of the internet of things device further comprises an image feature extraction unit and a graphic part feature extraction unit, the image feature extraction unit and the graphic part feature extraction unit are in data connection with the device part recognition module of the internet of things device, the device recognition result algorithm feedback module of the internet of things device comprises a device recognition model feedback unit and a device appearance recognition feedback unit, the device recognition model feedback unit and the device appearance recognition feedback unit are in data connection with the device recognition display module of the internet of things, and the device recognition display module of the internet of things comprises a device industry display unit, a device model display unit and a device purpose display unit which are in data connection.
Working principle: in the using process, the device scanning module is firstly connected with the internet of things device library module in data, the device scanning module is used for scanning the device and comparing the device scanning module with the device storage information in the internet of things device library module, the internet of things device library module is connected with the internet of things device feature extraction module in data, the internet of things device feature extraction module is connected with the internet of things device coding module in data, the internet of things device coding module is connected with the internet of things coding library module in data, the internet of things coding library module is connected with the internet of things device coding algorithm analysis module in data, the internet of things device coding algorithm analysis module is connected with the internet of things device image feature identification module in data, the internet of things device image feature identification module is connected with the internet of things device part identification module in data, the data connection of the Internet of things equipment part recognition module and the Internet of things equipment analysis recognition module, the Internet of things equipment analysis recognition module is used for analyzing and recognizing Internet of things equipment, the Internet of things equipment analysis recognition module and the Internet of things equipment recognition result algorithm feedback module are connected with the data connection of the Internet of things equipment recognition display module, the Internet of things equipment recognition result algorithm feedback module and the Internet of things equipment recognition display module are connected with each other, the Internet of things equipment recognition display module is used for displaying the Internet of things equipment recognition result, the equipment scanning module comprises an equipment scanning unit and an equipment scanning storage unit, the scanning unit is connected with the equipment scanning storage unit, the scanning unit is connected with an Internet of things equipment library module, the Internet of things equipment library module comprises an equipment encoding unit and an equipment model unit, the equipment encoding unit is connected with the equipment model unit, the device coding unit is in data connection with the device model unit and the Internet of things device characteristic extraction module, the Internet of things device characteristic extraction module comprises an Internet of things device part characteristic unit and an Internet of things device industry characteristic unit in data connection, the Internet of things device part characteristic unit is in data connection with the Internet of things device industry characteristic unit, the Internet of things device industry characteristic unit is in data connection with the Internet of things device coding module, the Internet of things device coding module comprises a device classification coding unit and a device model coding unit, the device classification coding unit is in data connection with the device model coding unit, the device classification coding unit and the device model coding unit are in data connection with the Internet of things coding library module, the Internet of things coding library module comprises an Internet of things device coding storage unit and an Internet of things device coding extraction unit, the Internet of things equipment coding storage unit is in data connection with the Internet of things equipment coding extraction unit, the Internet of things equipment coding storage unit and the Internet of things equipment coding extraction unit are in data connection with the Internet of things equipment coding algorithm analysis module, the Internet of things equipment coding algorithm analysis module comprises an Internet of things equipment coding storage unit, an Internet of things equipment coding retrieval unit and an Internet of things equipment coding comparison unit, the Internet of things equipment coding retrieval unit is used for coding retrieval and extracting from the Internet of things equipment coding storage unit, the Internet of things equipment coding comparison unit is used for carrying out code comparison analysis on extraction, the Internet of things equipment image feature recognition module comprises an image feature extraction unit and a graphic part feature extraction unit, the image feature extraction unit and the graphic part feature extraction unit are in data connection with the Internet of things equipment part recognition module, the equipment identification result algorithm feedback module of the Internet of things comprises an equipment identification model feedback unit and an equipment appearance identification feedback unit, wherein the equipment identification model feedback unit and the equipment appearance identification feedback unit are in data connection, the equipment identification model feedback unit and the equipment appearance identification feedback unit are in data connection with the equipment identification display module of the Internet of things, and the equipment identification display module of the Internet of things comprises an equipment industry display unit, an equipment model display unit and an equipment purpose display unit, and the equipment industry display unit, the equipment model display unit and the equipment purpose display unit are in data connection.
The above embodiments are only for illustrating the present invention and not for limiting the technical solutions described in the present invention, and although the present invention has been described in detail in the present specification with reference to the above embodiments, the present invention is not limited to the above specific embodiments, and thus any modifications or equivalent substitutions are made to the present invention; all technical solutions and modifications thereof that do not depart from the spirit and scope of the invention are intended to be included in the scope of the appended claims.
Claims (3)
1. The equipment identification system based on the Internet of things is characterized by comprising an equipment scanning module, wherein the equipment scanning module is in data connection with an Internet of things equipment library module, equipment is scanned through the equipment scanning module and is compared with equipment storage information in the Internet of things equipment library module, the Internet of things equipment library module is in data connection with an Internet of things equipment feature extraction module, the Internet of things equipment is subjected to feature extraction through the Internet of things equipment feature extraction module, the Internet of things equipment feature extraction module is in data connection with an Internet of things equipment coding module, the Internet of things equipment coding module is in data connection with the Internet of things coding library module, the Internet of things equipment coding algorithm analysis module is in data connection with an Internet of things equipment image feature identification module, the Internet of things equipment feature identification module is in data connection with an Internet of things equipment part identification module, the Internet of things equipment part identification module is in data connection with the Internet of things equipment analysis identification module, the Internet of things equipment analysis identification module is used for carrying out analysis identification on the Internet of things equipment, the Internet of things equipment analysis module is in data connection with the Internet of things equipment coding algorithm identification module, and the Internet of things equipment identification module is connected with the Internet of things equipment coding algorithm identification module is fed back through the Internet of things equipment coding algorithm analysis module, and the Internet of things equipment identification module is connected with Internet of things equipment identification module display algorithm display module display device display results.
The Internet of things coding library module comprises an Internet of things equipment coding storage unit and an Internet of things equipment coding extraction unit, wherein the Internet of things equipment coding storage unit is in data connection with the Internet of things equipment coding extraction unit, and the Internet of things equipment coding storage unit and the Internet of things equipment coding extraction unit are in data connection with the Internet of things equipment coding algorithm analysis module;
the internet of things equipment coding algorithm analysis module comprises an internet of things equipment coding storage unit, an internet of things equipment coding retrieval unit and an internet of things equipment coding comparison unit, wherein the internet of things equipment coding retrieval unit is used for carrying out coding retrieval, extracting the internet of things equipment coding storage unit, and carrying out code comparison analysis on the extracting through the internet of things equipment coding comparison unit;
the image feature recognition module of the Internet of things equipment comprises an image feature extraction unit and a graphic part feature extraction unit, and the image feature extraction unit and the graphic part feature extraction unit are in data connection with the Internet of things equipment part recognition module;
the device coding module of the Internet of things comprises a device classification coding unit and a device model coding unit, wherein the device classification coding unit is in data connection with the device model coding unit, and the device classification coding unit and the device model coding unit are in data connection with the coding library module of the Internet of things;
the equipment identification result algorithm feedback module of the Internet of things comprises an equipment identification model feedback unit and an equipment appearance identification feedback unit, wherein the equipment identification model feedback unit is in data connection with the equipment appearance identification feedback unit, and the equipment identification model feedback unit and the equipment appearance identification feedback unit are in data connection with the equipment identification display module of the Internet of things;
the device library module of the Internet of things comprises a device coding unit and a device model unit, wherein the device coding unit is in data connection with the device model unit, and the device coding unit is in data connection with the device model unit and the device characteristic extraction module of the Internet of things;
the internet of things equipment characteristic extraction module comprises an internet of things equipment part characteristic unit and an internet of things equipment industry characteristic unit data connection, the internet of things equipment part characteristic unit is in data connection with the internet of things equipment industry characteristic unit, and the internet of things equipment industry characteristic unit is in data connection with the internet of things equipment coding module.
2. The internet of things-based device identification system of claim 1, wherein the device scanning module comprises a device scanning unit and a device scanning storage unit, the scanning unit is in data connection with the device scanning storage unit, and the scanning unit is in data connection with the device scanning storage unit and the internet of things device library module.
3. The device identification system based on the internet of things according to claim 1, wherein the device identification display module of the internet of things comprises a device industry display unit, a device model display unit and a device purpose display unit, and the device industry display unit is in data connection with the device model display unit and the device purpose display unit.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111401486A (en) * | 2019-01-02 | 2020-07-10 | 中国移动通信有限公司研究院 | Identification method and device of Internet of things identifier and terminal equipment |
| CN112270346A (en) * | 2020-10-20 | 2021-01-26 | 清华大学 | Internet of things equipment identification method and device based on semi-supervised learning |
| CN112769623A (en) * | 2021-01-19 | 2021-05-07 | 河北大学 | Internet of things equipment identification method under edge environment |
| CN113328985A (en) * | 2021-04-07 | 2021-08-31 | 西安交通大学 | Passive Internet of things equipment identification method, system, medium and equipment |
| CN113657443A (en) * | 2021-07-10 | 2021-11-16 | 东南大学 | Online Internet of things equipment identification method based on SOINN network |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN207367043U (en) * | 2017-11-06 | 2018-05-15 | 江苏麦酷博信息科技有限公司 | A kind of Intelligent internet of things module |
| US20200250530A1 (en) * | 2019-02-06 | 2020-08-06 | Hewlett Packard Enterprise Development Lp | Deep machine learning modeling of networking device identification |
| CN109978101B (en) * | 2019-04-09 | 2020-04-21 | 北京理工大学珠海学院 | Transformer substation construction field equipment management system and method based on Internet of things |
| CN111447303B (en) * | 2020-04-03 | 2022-09-09 | 宁波市水利水电规划设计研究院有限公司 | GPS-based dynamic coding method for Internet of things platform equipment |
| CN112532489A (en) * | 2020-12-01 | 2021-03-19 | 深圳万物安全科技有限公司 | Internet of things equipment identification method and system and storage medium |
| CN112561141A (en) * | 2020-12-04 | 2021-03-26 | 国网天津市电力公司电力科学研究院 | Physical ID differentiation optimization configuration method for power distribution internet of things |
| CN112699901A (en) * | 2021-01-07 | 2021-04-23 | 镇江瑞奇信息技术有限公司 | Plant species identification system based on Internet of things |
-
2022
- 2022-01-24 CN CN202210079411.9A patent/CN114328630B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111401486A (en) * | 2019-01-02 | 2020-07-10 | 中国移动通信有限公司研究院 | Identification method and device of Internet of things identifier and terminal equipment |
| CN112270346A (en) * | 2020-10-20 | 2021-01-26 | 清华大学 | Internet of things equipment identification method and device based on semi-supervised learning |
| CN112769623A (en) * | 2021-01-19 | 2021-05-07 | 河北大学 | Internet of things equipment identification method under edge environment |
| CN113328985A (en) * | 2021-04-07 | 2021-08-31 | 西安交通大学 | Passive Internet of things equipment identification method, system, medium and equipment |
| CN113657443A (en) * | 2021-07-10 | 2021-11-16 | 东南大学 | Online Internet of things equipment identification method based on SOINN network |
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