CN114328630A - Equipment identification system based on thing networking - Google Patents
Equipment identification system based on thing networking Download PDFInfo
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- CN114328630A CN114328630A CN202210079411.9A CN202210079411A CN114328630A CN 114328630 A CN114328630 A CN 114328630A CN 202210079411 A CN202210079411 A CN 202210079411A CN 114328630 A CN114328630 A CN 114328630A
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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 is scanned by the equipment scanning module and is compared with equipment storage information in an Internet of things equipment base module, the Internet of things equipment base module is in data connection with an Internet of things equipment feature extraction module, an Internet of things equipment image 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 an Internet of things equipment analysis identification module, the Internet of things equipment is analyzed and identified through the Internet of things equipment analysis and identification module, 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 equipment identification display module of the Internet of things, and the result of the Internet of things equipment identification is displayed through the Internet of things equipment identification display module.
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 number of devices in the using process, but the existing internet of things devices have some defects in the managing process and need to be improved, and the defects are as follows:
the method comprises the following steps that firstly, an equipment identification system of the Internet of things is lacked in the existing system, secondly, coding of the equipment of the Internet of things and algorithm analysis of the coding cannot be achieved, secondly, feature extraction of the equipment of the Internet of things cannot be achieved, and meanwhile, the problem that algorithm feedback of a recognition result is lacked after the equipment of the Internet of things is analyzed and identified is solved, so that improvement is made on the problem, and the equipment identification system based on the Internet of things is provided.
Disclosure of Invention
The invention aims to: to solve the problems of the prior art, and to achieve the above object, the present invention provides the following technical solutions, an equipment identification system based on the internet of things, so as to improve the above problems, and the application specifically includes: 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 scans devices and compares the devices 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 extracts features 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 coding library module is in data connection with an Internet of things device coding algorithm analysis module, the Internet of things device coding algorithm analysis module is in data connection with an Internet of things device image feature recognition module, and 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 equipment part identification module is in data connection with the internet of things equipment analysis and identification module, the internet of things equipment analysis and identification module analyzes and identifies the internet of things equipment, 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 equipment identification display module of the internet of things, and the result of the internet of things equipment identification is displayed through the internet of things equipment identification display module.
As the preferable technical scheme, 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 in a data mode, and the scanning unit is connected with the equipment scanning storage unit in a data mode and the Internet of things equipment library module in a data mode.
As the preferred 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 feature draws the module and includes thing networking equipment part feature cell and thing networking equipment trade feature cell data connection, thing networking equipment part feature cell with thing networking equipment trade feature cell data connection, thing networking equipment trade feature cell with thing networking equipment coding module data connection.
As the preferred 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 coding library module data connection.
As the preferred technical scheme of this application, thing networking coding storehouse module includes thing networking equipment code memory cell and thing networking equipment code extraction element, thing networking equipment code memory cell with thing networking equipment code extraction element data connection, thing networking equipment code memory cell with thing networking equipment code extraction element with thing networking equipment code analysis module data connection.
As the preferable technical scheme, 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 coding retrieval is carried out through the Internet of things equipment coding retrieval unit, the extraction is carried out from the Internet of things equipment coding storage unit, and the extracted coding comparison analysis is carried out through the Internet of things equipment coding comparison unit.
As the preferred technical scheme of this application, thing networking device image feature identification module includes that image feature draws unit and figure part feature and draws the unit, the image feature draw the unit with figure part feature draws the unit with thing networking device part identification module data connection.
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 preferred technical scheme of this application, the equipment of thing networking discerns display module includes equipment trade display element and equipment model display element and equipment usage display element, equipment trade display element with equipment model display element and equipment usage display element data connection.
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 scanned devices with 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 devices;
2. the internet of things equipment feature extraction module is in data connection with the 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 coding library module is in data connection with the internet of things equipment coding algorithm analysis module, the internet of things equipment coding algorithm analysis module is in data connection with the internet of things equipment image feature recognition module, the internet of things equipment image feature recognition module is in data connection with the internet of things equipment part recognition module, the internet of things equipment part recognition module is in data connection with the internet of things equipment analysis recognition module, and the internet of things equipment is analyzed and recognized through the internet of things equipment analysis recognition 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 flow chart provided by the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely 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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring 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, the device scanning module scans devices and compares the scanned devices 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 library module is in data connection with an internet-of-things device coding algorithm analysis module, the internet-of-things device coding algorithm analysis module is in data connection with an internet-of-things device image feature identification module, and the internet-of-things device image feature identification module are in data connection with an internet-of-things device part identification, the internet of things equipment part identification module is in data connection with the internet of things equipment analysis and identification module, the internet of things equipment is analyzed and identified through the internet of things equipment analysis and identification module, 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.
As a preferred embodiment, on the basis of the above manner, further, the device scanning module 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.
As a preferred embodiment, on the basis of the above manner, further, the internet of things device feature extraction module includes an internet of things device part feature unit and an internet of things device industry feature unit data connection, the internet of things device part feature unit and the internet of things device industry feature unit data connection, the internet of things device industry feature unit and the internet of things device coding module data connection, the internet of things device coding module includes a device classification coding unit and a device model coding unit, the device classification coding unit and the device model coding unit are data connection, and the device classification coding unit and the device model coding unit are data connection with the internet of things coding library module.
As a preferred embodiment, on the basis of the above manner, further, the internet of things coding library module includes an internet of things device coding storage unit and an internet of things device coding extraction unit, the internet of things device coding storage unit and the internet of things device coding extraction unit are in data connection with the internet of things device coding algorithm analysis module, the internet of things device coding algorithm analysis module includes an internet of things device coding storage unit, an internet of things device coding retrieval unit and an internet of things device coding comparison unit, the coding retrieval is performed through the internet of things device coding retrieval unit, the extraction is performed from the internet of things device coding storage unit, and the extracted coding comparison analysis is performed through the internet of things device coding comparison unit.
As a preferred embodiment, on the basis of the above manner, further, the internet of things device image feature identification module includes 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 identification module, the Internet of things equipment identification result algorithm feedback module comprises an equipment identification model feedback unit and an equipment appearance identification feedback unit, the equipment identification model feedback unit is in data connection with the equipment appearance identification feedback unit, 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 equipment identification display module of the Internet of things comprises an equipment industry display unit, an equipment model display unit and an equipment use display unit, and the equipment industry display unit is in data connection with the equipment model display unit and the equipment use display unit.
The working principle is as follows: in the using process, the equipment scanning module is in data connection with the Internet of things equipment base module, equipment is scanned through the equipment scanning module and is compared with the equipment storage information in the Internet of things equipment base module, the Internet of things equipment base module is in data connection with the Internet of things equipment feature extraction module, the Internet of things equipment feature extraction module is used for feature extraction of the Internet of things equipment, the Internet of things equipment feature extraction module is in data connection with the Internet of things equipment coding module, the Internet of things equipment coding module is in data connection with the Internet of things coding base module, the Internet of things coding base module is in data connection with the Internet of things equipment coding algorithm analysis module, the Internet of things equipment coding algorithm analysis module is in data connection with the Internet of things equipment image feature identification module, and the Internet of things equipment image feature identification module is in data connection with the 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 and identification module, the Internet of things equipment is analyzed and identified through the Internet of things equipment analysis and identification module, 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, the Internet of things equipment identification result is displayed through the Internet of things equipment identification display module, the equipment scanning module comprises an equipment scanning unit and an equipment scanning storage unit, the scanning unit is in data connection with the equipment scanning storage unit and the Internet of things equipment library module, the Internet of things equipment library module comprises an equipment coding unit and an equipment model unit, and the equipment coding unit is in data connection with the equipment model unit, the equipment coding unit, the equipment model unit and the Internet of things equipment feature extraction module are in data connection, the Internet of things equipment feature extraction module comprises an Internet of things equipment part feature unit and an Internet of things equipment industry feature unit in data connection, the Internet of things equipment part feature unit and the Internet of things equipment industry feature unit in data connection, the Internet of things equipment industry feature unit and the Internet of things equipment coding module in data connection, the Internet of things equipment coding module comprises an equipment classification coding unit and an equipment model coding unit in data connection, the equipment classification coding unit and the equipment 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 equipment code storage unit and an Internet of things equipment code extraction unit in data connection, and the Internet of things equipment code storage unit and the Internet of things equipment code extraction unit are in data connection, the internet of things equipment code storage unit and the internet of things equipment code extraction unit are in data connection with the internet of things equipment code algorithm analysis module, the internet of things equipment code algorithm analysis module comprises the internet of things equipment code storage unit, the internet of things equipment code retrieval unit and the internet of things equipment code comparison unit, code retrieval is carried out through the internet of things equipment code retrieval unit, extraction is carried out from the internet of things equipment code storage unit, extracted code comparison analysis is carried out through the internet of things equipment code comparison unit, the internet of things equipment image feature identification 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 identification module, the internet of things equipment identification result algorithm feedback module comprises an equipment identification model feedback unit and an equipment appearance identification feedback unit, the equipment identification type feedback unit and the equipment appearance identification feedback unit are in data connection, the equipment identification type feedback unit and the equipment appearance identification feedback unit are in data connection with an equipment identification display module of the Internet of things, the equipment identification display module of the Internet of things comprises an equipment industry display unit, an equipment type display unit and an equipment use display unit, and the equipment industry display unit is in data connection with the equipment type display unit and the equipment use display unit.
The above embodiments are only used for illustrating the invention and not for limiting the technical solutions described in the 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 embodiments, and therefore, any modification or equivalent replacement of the present invention is made; all such modifications and variations are intended to be included herein within the scope of this disclosure and the appended claims.
Claims (10)
1. An 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 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 coding library module is in data connection with an Internet of things equipment coding algorithm analysis 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 image feature recognition module is in data connection with the internet of things equipment part recognition module, the internet of things equipment part recognition module is in data connection with the internet of things equipment analysis recognition module, the internet of things equipment analysis recognition module analyzes and recognizes the internet of things equipment, the internet of things equipment analysis recognition module is in data connection with the internet of things equipment recognition result algorithm feedback module, the internet of things equipment recognition result algorithm feedback module is in data connection with the equipment recognition display module of the internet of things, and the result of the internet of things equipment recognition is displayed through the internet of things equipment recognition display module.
2. The internet of things-based device identification system according to 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 Internet of things-based equipment identification system according to claim 1, wherein the Internet of things equipment library module comprises an equipment coding unit and an equipment model unit, the equipment coding unit is in data connection with the equipment model unit, and the equipment coding unit is in data connection with the equipment model unit and the Internet of things equipment feature extraction module.
4. The device identification system based on the internet of things of claim 1, wherein the internet of things device feature extraction module comprises an internet of things device part feature unit and an internet of things device industry feature unit data connection, the internet of things device part feature unit and the internet of things device industry feature unit data connection, and the internet of things device industry feature unit and the internet of things device coding module data connection.
5. The device identification system based on the internet of things of claim 1, wherein the internet of things device coding module comprises a device classification coding unit and a device model coding unit, the device classification coding unit and the device model coding unit are in data connection, and the device classification coding unit and the device model coding unit are in data connection with the internet of things coding library module.
6. The device identification system based on the Internet of things of claim 1, wherein 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 device coding storage unit is in data connection with the Internet of things device coding extraction unit, and the Internet of things device coding storage unit and the Internet of things device coding extraction unit are in data connection with the Internet of things device coding algorithm analysis module.
7. The device identification system based on the internet of things of claim 1, wherein the internet of things device coding algorithm analysis module comprises an internet of things device coding storage unit, an internet of things device coding retrieval unit and an internet of things device coding comparison unit, the coding retrieval is carried out through the internet of things device coding retrieval unit, the extraction is carried out from the internet of things device coding storage unit, and the extracted coding comparison analysis is carried out through the internet of things device coding comparison unit.
8. The device identification system based on the internet of things of claim 1, wherein the device image feature identification module of the internet of things 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 device part identification module of the internet of things.
9. The Internet of things-based equipment identification system according to claim 1, wherein the Internet of things equipment identification result algorithm feedback module comprises an equipment identification model feedback unit and an equipment appearance identification feedback unit, 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 an equipment identification display module of the Internet of things.
10. The Internet of things-based equipment identification system according to claim 1, wherein the Internet of things-based equipment identification display module comprises an equipment industry display unit, an equipment model display unit and an equipment use display unit, and the equipment industry display unit is in data connection with the equipment model display unit and the equipment use display unit.
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