CN114510508A - Metallographic analysis method and system based on cloud server - Google Patents
Metallographic analysis method and system based on cloud server Download PDFInfo
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- CN114510508A CN114510508A CN202210037921.XA CN202210037921A CN114510508A CN 114510508 A CN114510508 A CN 114510508A CN 202210037921 A CN202210037921 A CN 202210037921A CN 114510508 A CN114510508 A CN 114510508A
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Abstract
The invention discloses a metallographic analysis method and a metallographic analysis system based on a cloud server, and relates to the field of metallographic analysis. The method comprises the following steps: first terminal sends the metallographic analysis demand to backstage cloud ware, backstage cloud ware receives the metallographic analysis demand to distribute the second terminal through predetermineeing the rule, the second terminal is received the metallographic analysis demand combines to predetermine the metallographic detection flow and obtains the metallographic detection result, and will the metallographic detection result sends backstage cloud ware, first terminal receipt the metallographic detection result is issued to backstage cloud ware, and show, this scheme utilizes the cloud platform, and the professional metallographic examination technical staff organic tissue of wide area scope gets up the butt joint and does not have the metallographic examination ability but has all kinds of enterprises of demand, helps them to realize the metallographic examination analysis.
Description
Technical Field
The invention relates to the field of metallographic analysis, in particular to a metallographic analysis method and a metallographic analysis system based on a cloud server.
Background
Various metallographic examination and analysis requirements are widely distributed in the market, enterprises need to be equipped with professional metallographic examination technicians to carry out metallographic examination, and a large amount of enterprise cost needs to be consumed, so that medium and small enterprises are difficult to implement on the metallographic examination and analysis requirements; meanwhile, professional metallographic examination technicians are lacked, so that a large amount of metallographic examination and analysis requirements further exist in the market and cannot be met, and no scheme capable of solving the problems exists in the market.
Disclosure of Invention
The invention aims to solve the technical problem of the prior art and provides a metallographic analysis method and system based on a cloud server.
The technical scheme for solving the technical problems is as follows:
a metallographic analysis method based on a cloud server comprises the following steps:
s1, the first terminal sends a metallographic analysis requirement to the background cloud server;
s2, the background cloud server receives the metallographic analysis requirement and distributes the metallographic analysis requirement to a second terminal through a preset rule;
s3, the second terminal receives the metallographic analysis requirement, obtains a metallographic detection result by combining a preset metallographic detection process, and sends the metallographic detection result to the background cloud server;
and S4, the first terminal receives and displays the metallographic detection result issued by the background cloud server.
The invention has the beneficial effects that: this scheme is received through backstage cloud ware metallographic analysis demand to distribute to the second terminal through predetermineeing the rule, two terminals are received metallographic analysis demand combines to predetermine the metallographic detection flow and obtains the metallographic detection result, and will the metallographic detection result is sent backstage cloud ware, and first terminal is received backstage cloud ware is issued the metallographic detection result, and show, this scheme utilization cloud platform gets up the professional metallographic examination technical staff organic organization of wide area scope and docks the vast enterprise that does not have the metallographic examination ability but has all kinds of enterprises of demand, helps them to realize metallographic examination analysis.
Further, the S1 is preceded by:
the background cloud server collects metallographic analysis industrial data from a plurality of platforms;
the background cloud server analyzes and associates the metallographic analysis industrial data to obtain a plurality of metallographic analysis data chains;
and the background cloud server constructs a metallographic analysis database according to the plurality of metallographic analysis data chains.
The beneficial effect of adopting the further scheme is that: according to the scheme, a metallographic analysis database is constructed, and a data base is provided for cloud platform data analysis.
Further, the S2 is preceded by:
according to the metallographic analysis requirement, searching in the metallographic analysis database;
when a metallographic analysis data chain matched with the metallographic analysis requirement is searched in the metallographic analysis database, obtaining a metallographic detection result of the metallographic analysis requirement according to the metallographic analysis data chain;
and when the metallographic analysis data chain matched with the metallographic analysis requirement is not searched in the metallographic analysis database, executing the step S2.
The beneficial effect of adopting the further scheme is that: according to the scheme, the metallographic detection result of the metallographic analysis demand is obtained by retrieving the metallographic analysis data chain matched with the metallographic analysis demand from the metallographic analysis database, metallographic analysis can be performed without a second terminal, and the metallographic analysis is directly performed by a background server, so that the metallographic analysis efficiency is greatly improved.
Further, the S2 further includes:
establishing a metallographic analysis model according to a preset metallographic detection flow and metallographic detection image characteristics;
training the metallographic analysis model according to the metallographic analysis industrial data to obtain a trained metallographic analysis model;
and when the second terminal is in a busy state, analyzing a metallographic detection result according to the metallographic analysis requirement through the trained metallographic analysis model.
The beneficial effect of adopting the further scheme is that: according to the scheme, when the second terminal is in a busy state, a metallographic detection result is analyzed through the trained metallographic analysis model according to the metallographic analysis requirement, the waiting time of the first terminal is shortened, and the metallographic analysis requirement of the terminal can be responded in time.
Further, the method also comprises the following steps:
and the background cloud server supplements the metallographic analysis database according to the metallographic detection result obtained by the second terminal in combination with the metallographic analysis requirement.
The beneficial effect of adopting the further scheme is that: according to the scheme, the metallographic detection result is obtained, the metallographic analysis requirement is combined, the metallographic analysis database is supplemented, the data volume of the metallographic analysis database is enriched, and the metallographic analysis efficiency based on the cloud platform is improved.
Another technical solution of the present invention for solving the above technical problems is as follows:
a cloud server-based metallographic analysis system comprising: the system comprises a first terminal, a background cloud server and a second terminal;
the first terminal is used for sending a metallographic analysis requirement to the background cloud server;
the background cloud server is used for receiving the metallographic analysis requirement and distributing the metallographic analysis requirement to the second terminal through a preset rule;
the second terminal is used for receiving the metallographic analysis requirement, obtaining a metallographic detection result by combining a preset metallographic detection process, and sending the metallographic detection result to the background cloud server;
and the first terminal is also used for receiving and displaying the metallographic detection result issued by the background cloud server.
The invention has the beneficial effects that: this scheme is received through backstage cloud ware metallographic analysis demand to distribute to the second terminal through predetermineeing the rule, two terminals are received metallographic analysis demand combines to predetermine the metallographic detection flow and obtains the metallographic detection result, and will the metallographic detection result is sent backstage cloud ware, and first terminal is received backstage cloud ware is issued the metallographic detection result, and show, this scheme utilization cloud platform gets up the professional metallographic examination technical staff organic organization of wide area scope and docks the vast enterprise that does not have the metallographic examination ability but has all kinds of enterprises of demand, helps them to realize metallographic examination analysis.
Further, the background cloud server is also used for collecting metallographic analysis industrial data from a plurality of platforms; analyzing and correlating the metallographic analysis industrial data to obtain a plurality of metallographic analysis data chains; and constructing a metallographic analysis database according to the plurality of metallographic analysis data chains.
The beneficial effect of adopting the further scheme is that: according to the scheme, a metallographic analysis database is constructed, and a data base is provided for cloud platform data analysis.
Further, the background cloud server is also used for retrieving in the metallographic analysis database according to the metallographic analysis requirement; when a metallographic analysis data chain matched with the metallographic analysis requirement is searched in the metallographic analysis database, obtaining a metallographic detection result of the metallographic analysis requirement according to the metallographic analysis data chain;
and when the metallographic analysis data chain matched with the metallographic analysis requirement is not searched in the metallographic analysis database, distributing the metallographic analysis requirement to a second terminal through a preset rule.
The beneficial effect of adopting the further scheme is that: according to the scheme, the metallographic detection result of the metallographic analysis demand is obtained by retrieving the metallographic analysis data chain matched with the metallographic analysis demand from the metallographic analysis database, metallographic analysis can be performed without a second terminal, and the metallographic analysis is directly performed by a background server, so that the metallographic analysis efficiency is greatly improved.
Further, the background cloud server is also used for establishing a metallographic analysis model according to a preset metallographic detection process and metallographic detection image characteristics;
training the metallographic analysis model according to the metallographic analysis industrial data to obtain a trained metallographic analysis model;
and when the second terminal is in a busy state, analyzing a metallographic detection result according to the metallographic analysis requirement through the trained metallographic analysis model.
The beneficial effect of adopting the further scheme is that: according to the scheme, when the second terminal is in a busy state, a metallographic detection result is analyzed through the trained metallographic analysis model according to the metallographic analysis requirement, the waiting time of the first terminal is shortened, and the metallographic analysis requirement of the terminal can be responded in time.
And further, the background cloud server is further used for supplementing the metallographic analysis database according to a metallographic detection result obtained by the second terminal and by combining metallographic analysis requirements.
The beneficial effect of adopting the further scheme is that: according to the scheme, the metallographic detection result is obtained, the metallographic analysis requirement is combined, the metallographic analysis database is supplemented, the data volume of the metallographic analysis database is enriched, and the metallographic analysis efficiency based on the cloud platform is improved.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
Fig. 1 is a schematic flow chart of a metallographic analysis method based on a cloud server according to an embodiment of the present invention;
fig. 2 is a structural block diagram of a metallographic analysis system based on a cloud server according to an embodiment of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth to illustrate, but are not to be construed to limit the scope of the invention.
As shown in fig. 1, a metallographic analysis method based on a cloud server provided in an embodiment of the present invention includes:
s1, the first terminal sends a metallographic analysis requirement to the background cloud server; wherein, can have a plurality of first terminals, first terminal can be the customer end APP of demand metallographic analysis. And (3) directly uploading metallographic structures to be analyzed by demand enterprises widely distributed all over the country through a client APP.
S2, the background cloud server receives the metallographic analysis requirement and distributes the metallographic analysis requirement to a second terminal through a preset rule; wherein there may be a plurality of second terminals. The second terminal may be a metallographic examination processing terminal that can be connected to various metal material smelting plants. The background cloud server is deeply connected to various metal material smelting factories, is dynamically connected with the smelting process, accumulates intelligent manufacturing, and the heat treatment data of material smelting processing is combined with the metallographic examination of later-stage finished product materials, and the analysis data is obtained from the whole process of material smelting to later-stage finished products and is fed back to a client APP terminal. Wherein the preset rules may include: and detecting the working states of the plurality of second terminals, sequentially distributing the analysis requirements to the second terminals in idle working states, and generating an analysis sequence according to the request time and the requirement level of the analysis requirements when the current second terminals are in busy working states to wait for the second terminals to process sequentially.
S3, the second terminal receives the metallographic analysis requirement, obtains a metallographic detection result by combining a preset metallographic detection process, and sends the metallographic detection result to the background cloud server;
it should be noted that the preset metallographic detection process may include: smelting a metal material, a smelting process, heat treatment of material smelting processing, metallographic examination and obtaining of a finished product.
And S4, the first terminal receives and displays the metallographic detection result issued by the background cloud server.
This scheme is received through backstage cloud ware metallographic analysis demand to distribute to the second terminal through predetermineeing the rule, two terminals are received metallographic analysis demand combines to predetermine the metallographic detection flow and obtains the metallographic detection result, and will the metallographic detection result is sent backstage cloud ware, and first terminal is received backstage cloud ware is issued the metallographic detection result, and show, this scheme utilization cloud platform gets up the professional metallographic examination technical staff organic organization of wide area scope and docks the vast enterprise that does not have the metallographic examination ability but has all kinds of enterprises of demand, helps them to realize metallographic examination analysis.
Preferably, in any of the above embodiments, the S1 may further include:
the background cloud server collects metallographic analysis industrial data from a plurality of platforms;
the background cloud server analyzes and associates the metallographic analysis industrial data to obtain a plurality of metallographic analysis data chains;
and the background cloud server constructs a metallographic analysis database according to the plurality of metallographic analysis data chains. It should be noted that the metallographic analysis database can perform standardized data storage processing, improve existing industrial data, and perform standardized storage according to material classification, metallographic structure classification, material heat treatment process classification, or the like.
The cloud platform based metallographic examination cloud service system has the advantages that the widely distributed metallographic examination demand ends are butted with wide professional metallographic examination technical engineers through the cloud platform, and wide abundant metallographic professional technicians are butted with enterprises which are widely lack of metallographic examination technologies, so that metallographic examination cloud service is realized, industrial data are accumulated, and basic engineering of metallographic examination industrial big data is filled.
According to the scheme, a metallographic analysis database is constructed, and a data base is provided for cloud platform data analysis.
Preferably, in any embodiment above, before the S2, the method further includes:
according to the metallographic analysis requirement, searching in the metallographic analysis database;
when a metallographic analysis data chain matched with the metallographic analysis requirement is searched in the metallographic analysis database, obtaining a metallographic detection result of the metallographic analysis requirement according to the metallographic analysis data chain;
and when the metallographic analysis data chain matched with the metallographic analysis requirement is not searched in the metallographic analysis database, executing the step S2.
According to the scheme, the metallographic detection result of the metallographic analysis demand is obtained by retrieving the metallographic analysis data chain matched with the metallographic analysis demand from the metallographic analysis database, metallographic analysis can be performed without a second terminal, and the metallographic analysis is directly performed by a background server, so that the metallographic analysis efficiency is greatly improved.
Preferably, in any of the above embodiments, the S2 further includes:
establishing a metallographic analysis model according to a preset metallographic detection flow and metallographic detection image characteristics;
training the metallographic analysis model according to the metallographic analysis industrial data to obtain a trained metallographic analysis model;
it should be noted that, in one embodiment, a metallographical inspection business process is combined with a metal material industry including steel, cemented carbide, nonferrous metals, and the like, characteristics in metallographical inspection image data are obtained through analysis after massive metallographical analysis data training, and a metallographical analysis model is established through modeling in combination with expert experience, so that a stable and reliable metallographical inspection result can be obtained by the model. The metallographic examination result can be divided according to national standard, industrial standard or enterprise standard, and is subjected to grain size rating, nonmetallic inclusion detection and rating, decarburized layer depth measurement, tissue proportion measurement and analysis and the like. By establishing an automatic or semi-automatic analysis automation program, the platform unmanned and automatic operation of the high-power tissue metallographic examination in the metal material industry is realized.
And when the second terminal is in a busy state, analyzing a metallographic detection result according to the metallographic analysis requirement through the trained metallographic analysis model.
According to the scheme, when the second terminal is in a busy state, a metallographic detection result is analyzed through the trained metallographic analysis model according to the metallographic analysis requirement, the waiting time of the first terminal is shortened, and the metallographic analysis requirement of the terminal can be responded in time.
Preferably, in any of the above embodiments, further comprising:
and the background cloud server supplements the metallographic analysis database according to the metallographic detection result obtained by the second terminal in combination with the metallographic analysis requirement.
According to the scheme, the metallographic detection result is obtained, the metallographic analysis requirement is combined, the metallographic analysis database is supplemented, the data volume of the metallographic analysis database is enriched, and the metallographic analysis efficiency based on the cloud platform is improved.
In one embodiment, as shown in fig. 2, a cloud server based metallographic analysis system includes: a first terminal 1101, a background cloud server 1102 and a second terminal 1103;
the first terminal 1101 is used for sending metallographic analysis requirements to a background cloud server;
the background cloud server 1102 is configured to receive the metallographic analysis requirement and distribute the metallographic analysis requirement to the second terminal 1103 according to a preset rule;
the second terminal 1103 is configured to receive the metallographic analysis requirement, obtain a metallographic detection result by combining a preset metallographic detection process, and send the metallographic detection result to the background cloud server 1102;
the first terminal 1101 is further configured to receive the metallographic detection result sent by the background cloud server, and display the metallographic detection result.
This scheme is received through backstage cloud ware metallographic analysis demand to distribute to the second terminal through predetermineeing the rule, two terminals are received metallographic analysis demand combines to predetermine the metallographic detection flow and obtains the metallographic detection result, and will the metallographic detection result is sent backstage cloud ware, and first terminal is received backstage cloud ware is issued the metallographic detection result, and show, this scheme utilization cloud platform gets up the professional metallographic examination technical staff organic organization of wide area scope and docks the vast enterprise that does not have the metallographic examination ability but has all kinds of enterprises of demand, helps them to realize metallographic examination analysis.
Preferably, in any of the above embodiments, the background cloud server 1102 is further configured to collect metallographical analysis industrial data from a plurality of platforms; analyzing and correlating the metallographic analysis industrial data to obtain a plurality of metallographic analysis data chains; and constructing a metallographic analysis database according to the plurality of metallographic analysis data chains.
According to the scheme, a metallographic analysis database is constructed, and a data base is provided for cloud platform data analysis.
Preferably, in any of the above embodiments, the background cloud server 1102 is further configured to perform retrieval in the metallographic database according to the metallographic analysis requirement; when a metallographic analysis data chain matched with the metallographic analysis requirement is searched in the metallographic analysis database, obtaining a metallographic detection result of the metallographic analysis requirement according to the metallographic analysis data chain;
and when the metallographic analysis data chain matched with the metallographic analysis requirement is not searched in the metallographic analysis database, distributing the metallographic analysis requirement to a second terminal through a preset rule.
According to the scheme, the metallographic detection result of the metallographic analysis demand is obtained by retrieving the metallographic analysis data chain matched with the metallographic analysis demand from the metallographic analysis database, metallographic analysis can be performed without a second terminal, and the metallographic analysis can be directly performed by a background server, so that the metallographic analysis efficiency is greatly improved.
Preferably, in any of the embodiments described above, the background cloud server 1102 is further configured to establish a metallographic analysis model according to a preset metallographic detection process and metallographic detection image characteristics;
training the metallographic analysis model according to the metallographic analysis industrial data to obtain a trained metallographic analysis model;
and when the second terminal is in a busy state, analyzing a metallographic detection result according to the metallographic analysis requirement through the trained metallographic analysis model.
According to the scheme, when the second terminal is in a busy state, a metallographic detection result is analyzed through the trained metallographic analysis model according to the metallographic analysis requirement, the waiting time of the first terminal is shortened, and the metallographic analysis requirement of the terminal can be responded in time.
Preferably, in any embodiment above, the background cloud server 1102 is further configured to supplement the metallographic analysis database according to a metallographic detection result obtained by the second terminal in combination with a metallographic analysis requirement.
According to the scheme, the metallographic detection result is obtained, the metallographic analysis requirement is combined, the metallographic analysis database is supplemented, the data volume of the metallographic analysis database is enriched, and the metallographic analysis efficiency based on the cloud platform is improved.
It is understood that some or all of the alternative embodiments described above may be included in some embodiments.
It should be noted that the above embodiments are product embodiments corresponding to the previous method embodiments, and for the description of each optional implementation in the product embodiments, reference may be made to corresponding descriptions in the above method embodiments, and details are not described here again.
The reader should understand that in the description of this specification, reference to the description of the terms "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
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 on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A metallographic analysis method based on a cloud server is characterized by comprising the following steps:
s1, the first terminal sends a metallographic analysis requirement to the background cloud server;
s2, the background cloud server receives the metallographic analysis requirement and distributes the metallographic analysis requirement to a second terminal through a preset rule;
s3, the second terminal receives the metallographic analysis requirement, obtains a metallographic detection result by combining a preset metallographic detection process, and sends the metallographic detection result to the background cloud server;
and S4, the first terminal receives and displays the metallographic detection result issued by the background cloud server.
2. The cloud server-based metallographic analysis method according to claim 1, wherein said S2 is preceded by:
according to the metallographic analysis requirement, searching in a metallographic analysis database;
when a metallographic analysis data chain matched with the metallographic analysis requirement is searched in the metallographic analysis database, obtaining a metallographic detection result of the metallographic analysis requirement according to the metallographic analysis data chain;
and when the metallographic analysis data chain matched with the metallographic analysis requirement is not searched in the metallographic analysis database, executing the step S2.
3. The cloud server-based metallographic analysis method according to claim 2, wherein said S1 is preceded by:
the background cloud server collects metallographic analysis industrial data from a plurality of platforms;
the background cloud server analyzes and associates the metallographic analysis industrial data to obtain a plurality of metallographic analysis data chains;
and the background cloud server constructs a metallographic analysis database according to the plurality of metallographic analysis data chains.
4. The cloud server-based metallographic analysis method according to claim 2, wherein said S2 further comprises:
establishing a metallographic analysis model according to a preset metallographic detection flow and metallographic detection image characteristics;
training the metallographic analysis model according to the metallographic analysis industrial data to obtain a trained metallographic analysis model;
and when the second terminal is in a busy state, analyzing a metallographic detection result according to the metallographic analysis requirement through the trained metallographic analysis model.
5. The cloud server-based metallographic analysis method according to claim 2, further comprising:
and the background cloud server supplements the metallographic analysis database according to the metallographic detection result obtained by the second terminal in combination with the metallographic analysis requirement.
6. A metallographic analysis system based on a cloud server comprises: the system comprises a first terminal, a background cloud server and a second terminal;
the first terminal is used for sending a metallographic analysis requirement to the background cloud server;
the background cloud server is used for receiving the metallographic analysis requirement and distributing the metallographic analysis requirement to the second terminal through a preset rule;
the second terminal is used for receiving the metallographic analysis requirement, obtaining a metallographic detection result by combining a preset metallographic detection process, and sending the metallographic detection result to the background cloud server;
and the first terminal is also used for receiving and displaying the metallographic detection result issued by the background cloud server.
7. The cloud server-based metallographic analysis system according to claim 6, wherein said background cloud server is further configured to perform a search in a metallographic database according to said metallographic analysis requirements; when a metallographic analysis data chain matched with the metallographic analysis requirement is searched in the metallographic analysis database, obtaining a metallographic detection result of the metallographic analysis requirement according to the metallographic analysis data chain;
and when the metallographic analysis data chain matched with the metallographic analysis requirement is not searched in the metallographic analysis database, distributing the metallographic analysis requirement to a second terminal through a preset rule.
8. The cloud server-based metallographic system according to claim 7, wherein said backend cloud server is further configured to collect metallographic industrial data from a plurality of platforms; analyzing and correlating the metallographic analysis industrial data to obtain a plurality of metallographic analysis data chains; and constructing a metallographic analysis database according to the plurality of metallographic analysis data chains.
9. The cloud server-based metallographic analysis system according to claim 7, wherein said background cloud server is further configured to build a metallographic model according to a predetermined metallographic detection procedure and metallographic detection image characteristics;
training the metallographic analysis model according to the metallographic analysis industrial data to obtain a trained metallographic analysis model;
and when the second terminal is in a busy state, analyzing a metallographic detection result according to the metallographic analysis requirement through the trained metallographic analysis model.
10. The cloud server-based metallographic analysis system according to claim 7, wherein said background cloud server is further configured to supplement said metallographic analysis database in accordance with a metallographic detection result obtained by said second terminal in combination with a metallographic analysis requirement.
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