CN115904548A - Dynamic loading method, device and system for application recognition algorithm model - Google Patents
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Abstract
The invention relates to the technical field of intelligent recognition, and provides a method, a device and a system for dynamically loading an application recognition algorithm model. The method comprises the following steps: integrating the application recognition algorithm model into an industrial safety protection system in a dynamic link library mode; uploading the dynamic link library file of the new application identification algorithm model to an industrial safety protection system, and replacing and updating the dynamic link library file of the original application identification algorithm model; and calling the application recognition algorithm model in the updated dynamic link library file through a recognition hook in the industrial safety protection system so as to realize dynamic loading of the application recognition algorithm model. The invention updates the application recognition algorithm model only by replacing the dynamic link library file and calling the application recognition algorithm model again by the recognition hook without restarting the system, reduces the service interruption brought to the system by updating the AI algorithm, and is beneficial to the application and popularization of the AI algorithm in the industrial safety protection system developed by C language.
Description
Technical Field
The invention relates to the technical field of intelligent recognition, in particular to a dynamic loading method and a dynamic loading device for an application recognition algorithm model, an industrial safety protection system developed based on C language and a computer readable storage medium.
Background
The increasing popularization of the application of the AI (Artificial Intelligence) algorithm solves the problem that the traditional static feature library identification method cannot identify the encryption application, thereby further solving the problem that the industrial safety protection equipment cannot manage and control the encryption application. Compared with the traditional method that the application identification is enhanced by continuously updating the static feature library, the algorithm model needs to be updated when the AI identification is enhanced or improved. The algorithm model for enhancing the AI recognition capability not only includes parameter changes of the algorithm, but also generally needs to be adjusted for the algorithm implementation in the model, i.e. the adjustment of the code level.
The C language is a computer programming language facing a process, and is different from object-oriented programming languages such as C + +, C #, java, and the like, and program instructions written in the C language need to be compiled into binary codes to be executed. For the safety protection equipment system realized by using the C language, the AI recognition algorithm model is realized as a functional module and is compiled together with the whole system. For improving the algorithm recognition capability of the industrial safety protection equipment, the algorithm module of the industrial safety protection system is modified, then the whole system is recompiled, and finally the system is upgraded and restarted to enable a new algorithm to take effect. Compared with the method which can take effect only by upgrading the feature library in the traditional static feature library identification method, the method needs to upgrade the whole system when the AI identification algorithm model is updated in the safety protection equipment system realized by using the C language, and the new algorithm model can be loaded and taken effect only after the system is restarted. The upgrading of the algorithm capability is poor in user friendliness, especially for safety protection equipment serially connected in an industrial production system, the restarting of the system can cause interruption of user services, and the application of the AI algorithm in the industrial safety protection equipment is limited.
Disclosure of Invention
In order to solve the technical defects, the embodiment of the invention provides a method and a device for dynamically loading an application recognition algorithm model.
The embodiment of the invention provides a dynamic loading method of an application recognition algorithm model, which is applied to an industrial safety protection system developed based on C language, and the method comprises the following steps:
integrating an application recognition algorithm model into an industrial safety protection system in a dynamic link library mode;
uploading the dynamic link library file of the new application identification algorithm model to an industrial safety protection system, and replacing and updating the dynamic link library file of the original application identification algorithm model;
and calling the application recognition algorithm model in the updated dynamic link library file through a recognition hook in the industrial safety protection system so as to realize dynamic loading of the application recognition algorithm model.
In the embodiment of the present invention, invoking an application recognition algorithm model in an updated dynamic link library file through a recognition hook in an industrial safety protection system includes:
loading a dynamic link library file of the updated application identification algorithm model in a memory of the industrial safety protection system, and acquiring an application identification algorithm interface function in the dynamic link library file;
updating the obtained interface function of the application identification algorithm to an identification hook of an industrial safety protection system;
and the identification hook calls an application identification algorithm model in the dynamic link library file through the updated application identification algorithm interface function.
In the embodiment of the present invention, the method for dynamically loading the application recognition algorithm model further includes: before replacing the dynamic link library file of the original application identification algorithm model, suspending the identification function of the original application identification algorithm model and closing the dynamic link library of the original application identification algorithm model in the industrial safety protection system.
In the embodiment of the invention, the application recognition algorithm model is integrated into the industrial safety protection system in the form of a dynamic link library, and the method comprises the following steps: and generating a dynamic link library file by using the application recognition algorithm model programmed by the C language, and uploading the generated dynamic link library file to a corresponding directory of the industrial safety protection system developed by the C language.
In the embodiment of the present invention, the application recognition algorithm model is an encrypted traffic recognition algorithm model, and the recognition hook is a fixed encrypted traffic recognition hook.
In another aspect, an embodiment of the present invention provides an application recognition algorithm model dynamic loading apparatus, which is applied to an industrial safety protection system developed based on C language, and the apparatus includes:
the uploading module is used for integrating the application recognition algorithm model into the industrial safety protection system in a dynamic link library mode and uploading a dynamic link library file of the new application recognition algorithm model to the industrial safety protection system;
the updating module is used for replacing and updating the dynamic link library file of the original application recognition algorithm model;
and the calling module is used for calling the application recognition algorithm model in the updated dynamic link library file through the recognition hook in the industrial safety protection system so as to realize the dynamic loading of the application recognition algorithm model.
In the embodiment of the invention, the calling module loads the dynamic link library file of the updated application identification algorithm model in the memory of the industrial safety protection system to acquire the application identification algorithm interface function in the dynamic link library file; updating the obtained interface function of the application identification algorithm to an identification hook of an industrial safety protection system; and the identification hook calls an application identification algorithm model in the dynamic link library file through the updated application identification algorithm interface function.
In the embodiment of the present invention, the application recognition algorithm model is an encryption traffic recognition algorithm model, and the recognition hook is a fixed encryption traffic recognition hook.
The embodiment of the invention also provides an industrial safety protection system developed based on the C language, which comprises the application recognition algorithm model dynamic loading device.
The embodiment of the present invention further provides a computer-readable storage medium, in which computer instructions are stored, and when the computer instructions are executed, the computer instructions are used to implement the above-mentioned method for dynamically loading the application recognition algorithm model.
The application recognition algorithm model is integrated into the industrial safety protection system developed by the C language in the form of the dynamic link library, the application recognition algorithm model is updated only by replacing the dynamic link library file and calling the application recognition algorithm model again by the recognition hook without restarting the system, the service interruption brought to the system by updating the AI algorithm is reduced, and the application and popularization of the AI algorithm in the industrial safety protection system developed by the C language are facilitated.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a flowchart of a method for dynamically loading an application recognition algorithm model according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for dynamically loading an application recognition algorithm model according to an alternative embodiment of the present invention;
fig. 3 is a block diagram of a dynamic loading apparatus for an application recognition algorithm model according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions and advantages of the embodiments of the present invention more apparent, the following further detailed description of the exemplary embodiments of the present invention is provided with reference to the accompanying drawings, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and are not exhaustive of all the embodiments. It should be noted that the embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
As described in the background art, for the safety protection equipment system implemented by using C language, the AI recognition algorithm model is implemented as a functional module and compiled with the whole system. For improving the algorithm recognition capability of the industrial safety protection equipment, the algorithm module of the industrial safety protection system is modified, then the whole system is recompiled, and finally the system is upgraded and restarted to enable a new algorithm to take effect. Compared with the method which can take effect only by upgrading the feature library in the traditional static feature library identification method, the method needs to upgrade the whole system when the AI identification algorithm model is updated in the safety protection equipment system realized by using the C language, and the new algorithm model can be loaded and taken effect only after the system is restarted. The upgrading of the algorithm capability is poor in user friendliness, especially for safety protection equipment serially connected in an industrial production system, the restarting of the system can cause interruption of user services, and the application of the AI algorithm in the industrial safety protection equipment is limited.
In order to solve the above problem, an embodiment of the present invention provides a dynamic loading method for an application recognition algorithm model, which is applied to an industrial safety protection system developed based on C language, and the method includes: integrating an application recognition algorithm model into an industrial safety protection system in a dynamic link library mode; uploading the dynamic link library file of the new application identification algorithm model to an industrial safety protection system, and replacing and updating the dynamic link library file of the original application identification algorithm model; and calling the application recognition algorithm model in the updated dynamic link library file through a recognition hook in the industrial safety protection system so as to realize dynamic loading of the application recognition algorithm model. The application recognition algorithm model is integrated into the industrial safety protection system developed by the C language in the form of the dynamic link library, the application recognition algorithm model is updated only by replacing the dynamic link library file and calling the application recognition algorithm model again by the recognition hook without restarting the system, the service interruption brought to the system by updating the AI algorithm is reduced, and the application and popularization of the AI algorithm in the industrial safety protection system developed by the C language are facilitated. The above technical solution is explained in detail below.
Fig. 1 is a flowchart of a dynamic loading method for an application recognition algorithm model according to an embodiment of the present invention. As shown in fig. 1, the present embodiment provides a dynamic loading method for an application recognition algorithm model, which is applied to an industrial safety protection system developed based on C language, and the method includes the following steps:
s101, integrating the application recognition algorithm model into an industrial safety protection system in a dynamic link library mode.
Specifically, a dynamic link library file is generated by the application recognition algorithm model programmed by the C language, and the generated dynamic link library file is uploaded to a corresponding directory of the industrial safety protection system developed by the C language, so that the application recognition algorithm model is integrated into the industrial safety protection system.
S102, uploading the dynamic link library file of the new application identification algorithm model to an industrial safety protection system, and replacing and updating the dynamic link library file of the original application identification algorithm model, namely replacing the old dynamic link library file with the new dynamic link library file.
S103, calling the application recognition algorithm model in the updated dynamic link library file through the recognition hook in the industrial safety protection system so as to realize dynamic loading of the application recognition algorithm model.
Specifically, a dynamic link library file of an updated application identification algorithm model is loaded in a memory of the industrial safety protection system, an application identification algorithm interface function in the dynamic link library file is obtained, the obtained application identification algorithm interface function is updated to an identification interface hook of the industrial safety protection system, and the identification interface hook calls the application identification algorithm model in the dynamic link library file through the updated application identification algorithm interface function, so that the dynamic loading of the application identification algorithm model is realized.
In an embodiment, in step S102, before replacing the dynamic link library file of the original application recognition algorithm model, the recognition function of the original application recognition algorithm model is suspended, and the dynamic link library of the original application recognition algorithm model in the industrial safety protection system is closed, so as to avoid the problems of crash and the like caused by the change of the application recognition algorithm model in the process of replacing the dynamic link library file.
The application recognition algorithm model in the invention can have various algorithm models with recognition functions, and the recognition hook can be a recognition hook interface corresponding to the algorithm model.
Fig. 2 is a flowchart of a method for dynamically loading an application recognition algorithm model according to an alternative embodiment of the present invention. In an optional embodiment, the application recognition algorithm model adopts an encryption traffic recognition algorithm model, and the recognition hook adopts a fixed encryption traffic recognition hook. As shown in fig. 2, the overall process of the dynamic loading method of the application recognition algorithm model is as follows: firstly, uploading a dynamic link library file generated by a new encryption flow identification algorithm model to an appointed directory of an industrial safety protection system; meanwhile, the encrypted traffic identification function of the encrypted traffic identification algorithm model is suspended, and a dynamic link library of the original encrypted traffic identification algorithm model is closed in an industrial safety protection system, so that the problems of crash and the like caused by model change in the subsequent library file replacement process are avoided; then, replacing the original dynamic link library file with the newly uploaded dynamic link library file so as to achieve the purpose of substantive change of the library file; after the dynamic link library file is replaced, the dynamic link library is re-opened in the industrial safety protection system, so that a new dynamic link library can be loaded in the memory, an interface function in the dynamic link library of the new encryption flow identification algorithm model is obtained, and the interface function is updated to an identification hook of the industrial safety protection system; and finally, recovering the encrypted traffic identification function so as to enable the new encrypted traffic identification algorithm model to take effect and realize the dynamic loading of the encrypted traffic identification algorithm model. In this embodiment, the whole updating process of the algorithm model only involves file replacement, in-memory library replacement, hook function updating, and disabling and enabling of the encrypted traffic function, without restarting the system, and without service interruption to industrial production, so that the encrypted traffic recognition algorithm model is popularized in application recognition of the industrial safety protection system, thereby enabling more industrial encrypted traffic to be visualized, and facilitating visual display of the safety condition of the industrial system.
Fig. 3 is a block diagram of a dynamic loading apparatus for a model of an application recognition algorithm according to an embodiment of the present invention. As shown in fig. 3, the present embodiment provides an application recognition algorithm model dynamic loading apparatus, which is applied to an industrial safety protection system developed based on C language, and the apparatus includes: the device comprises an uploading module, an updating module and a calling module. The uploading module is used for integrating the application identification algorithm model to the industrial safety protection system in a dynamic link library mode and uploading a dynamic link library file of a new application identification algorithm model to the industrial safety protection system. And the updating module replaces and updates the dynamic link library file of the original application recognition algorithm model. The calling module is used for calling the application recognition algorithm model in the updated dynamic link library file through the recognition hook in the industrial safety protection system so as to realize dynamic loading of the application recognition algorithm model.
In one embodiment, the calling module loads a dynamic link library file of the updated application identification algorithm model in a memory of the industrial safety protection system, obtains an application identification algorithm interface function in the dynamic link library file, updates the obtained application identification algorithm interface function to an identification interface hook of the industrial safety protection system, and the identification interface hook calls the application identification algorithm model in the dynamic link library file through the updated application identification algorithm interface function.
In one embodiment, the application recognition algorithm model is an encrypted traffic recognition algorithm model and the recognition hooks are fixed encrypted traffic recognition hooks. And the uploading module uploads the dynamic link library file generated by the new encryption flow identification algorithm model to a specified directory of the industrial safety protection system. The updating module suspends the encrypted flow identification function of the encrypted flow identification algorithm model, closes a dynamic link library of the original encrypted flow identification algorithm model in the industrial safety protection system, and avoids the problems of crash and the like caused by model change in the subsequent library file replacement process; then, the newly uploaded dynamic link library file replaces the original dynamic link library file so as to achieve the purpose of substantive change of the library file. After the dynamic link library file is replaced, the calling module reopens the dynamic link library in the industrial safety protection system, so that a new dynamic link library can be loaded in the memory, an interface function in the dynamic link library of the new encryption flow identification algorithm model is obtained, and the interface function is updated to an identification hook of the industrial safety protection system. And finally, recovering the encrypted traffic identification function so as to enable the new encrypted traffic identification algorithm model to take effect and realize the dynamic loading of the encrypted traffic identification algorithm model. The whole updating process of the algorithm model only relates to file replacement, in-memory library replacement, hook function updating and encrypted flow function disabling and enabling, a system does not need to be restarted, and no service interruption influence is caused on industrial production.
The embodiment of the invention also provides an industrial safety protection system developed based on the C language, which comprises the dynamic loading device of the application recognition algorithm model.
The embodiment of the present invention further provides a computer-readable storage medium, in which computer instructions are stored, and when the computer instructions are executed, the computer instructions are used to implement the above dynamic loading method for the application recognition algorithm model.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The scheme in the embodiment of the invention can be realized by adopting various computer languages, such as object-oriented programming language Java and transliteration scripting language JavaScript.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A dynamic loading method of an application recognition algorithm model is applied to an industrial safety protection system developed based on C language, and is characterized by comprising the following steps:
integrating an application recognition algorithm model into an industrial safety protection system in a dynamic link library mode;
uploading the dynamic link library file of the new application identification algorithm model to an industrial safety protection system, and replacing and updating the dynamic link library file of the original application identification algorithm model;
and calling the application recognition algorithm model in the updated dynamic link library file through a recognition hook in the industrial safety protection system so as to realize dynamic loading of the application recognition algorithm model.
2. The dynamic loading method of the application recognition algorithm model according to claim 1, wherein the calling of the application recognition algorithm model in the updated dynamic link library file through the recognition hook in the industrial security protection system comprises:
loading a dynamic link library file of the updated application identification algorithm model in a memory of the industrial safety protection system, and acquiring an application identification algorithm interface function in the dynamic link library file;
updating the obtained interface function of the application identification algorithm to an identification hook of the industrial safety protection system;
and the identification hook calls an application identification algorithm model in the dynamic link library file through the updated application identification algorithm interface function.
3. The method for dynamic loading of an application recognition algorithm model according to claim 1, further comprising:
before replacing the dynamic link library file of the original application identification algorithm model, suspending the identification function of the original application identification algorithm model and closing the dynamic link library of the original application identification algorithm model in the industrial safety protection system.
4. The dynamic loading method for the application recognition algorithm model according to claim 1, wherein the application recognition algorithm model is integrated into the industrial safety protection system in a form of a dynamic link library, and the method comprises the following steps:
and generating a dynamic link library file by using the application recognition algorithm model of the C language programming, and uploading the generated dynamic link library file to a corresponding directory of the industrial safety protection system developed by the C language.
5. The dynamic loading method for the application recognition algorithm model according to claim 1, wherein the application recognition algorithm model is an encrypted traffic recognition algorithm model, and the recognition hook is a fixed encrypted traffic recognition hook.
6. An application recognition algorithm model dynamic loading device applied to an industrial safety protection system developed based on C language is characterized by comprising:
the uploading module is used for integrating the application identification algorithm model into the industrial safety protection system in a dynamic link library mode and uploading a dynamic link library file of a new application identification algorithm model to the industrial safety protection system;
the updating module is used for replacing and updating the dynamic link library file of the original application recognition algorithm model;
and the calling module is used for calling the application recognition algorithm model in the updated dynamic link library file through the recognition hook in the industrial safety protection system so as to realize the dynamic loading of the application recognition algorithm model.
7. The dynamic loading device of the application recognition algorithm model according to claim 6, wherein the calling module loads the updated dynamic link library file of the application recognition algorithm model in the memory of the industrial safety protection system to obtain the interface function of the application recognition algorithm in the dynamic link library file;
updating the obtained interface function of the application identification algorithm to an identification hook of the industrial safety protection system;
and the identification hook calls an application identification algorithm model in the dynamic link library file through the updated application identification algorithm interface function.
8. The dynamic loading device for the application recognition algorithm model according to claim 6, wherein the application recognition algorithm model is an encryption traffic recognition algorithm model, and the recognition hook is a fixed encryption traffic recognition hook.
9. An industrial safety protection system developed based on C language, characterized by comprising an application recognition algorithm model dynamic loading device according to any one of claims 6 to 8.
10. A computer-readable storage medium, wherein computer instructions are stored in the computer-readable storage medium, and when executed, the computer instructions are used for implementing the application recognition algorithm model dynamic loading method according to any one of claims 1 to 5.
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