CN112040011A - Simulation training method and device based on RPA and AI, computing equipment and medium - Google Patents
Simulation training method and device based on RPA and AI, computing equipment and medium Download PDFInfo
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- CN112040011A CN112040011A CN202011149219.XA CN202011149219A CN112040011A CN 112040011 A CN112040011 A CN 112040011A CN 202011149219 A CN202011149219 A CN 202011149219A CN 112040011 A CN112040011 A CN 112040011A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/08—Protocols specially adapted for terminal emulation, e.g. Telnet
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The embodiment of the specification discloses a simulation training method, a simulation training device, a calculation device and a medium based on RPA and AI. The method comprises the following steps: s1: receiving an RPA simulation training request sent by a user client through a Web page, wherein the RAA simulation training request carries the RPA simulation training request; s2: acquiring corresponding cloud host information according to the RPA simulation training request, and connecting the remote desktop to a corresponding cloud host according to the corresponding cloud host information; the cloud host is provided with RPA training software and an application system corresponding to the RPA training software; s3: and performing page integration on the remote desktop and the Web page to enable the Web page to enter the remote desktop, so as to operate RPA training software on the cloud host to train the RPA to be trained through the remote desktop.
Description
Technical Field
The present disclosure relates to the field of robot process automation, and in particular, to a simulation training method, apparatus, computing device, and medium based on RPA and AI.
Background
RPA (robot Process Automation) simulates human operations on a computer through specific "robot software" and automatically executes Process tasks according to rules. AI (Artificial Intelligence) is a new technical science for studying and developing theories, methods, techniques and application systems for simulating, extending and expanding human Intelligence. Among them, NLP (Natural Language Processing) is a sub-field of AI, and is a bridge for communication between machine Language and human Language to achieve the purpose of man-machine communication, and is generally used for understanding and classifying text contents.
RPA has unique advantages: low code, non-intrusive. The low code means that the RPA can be operated without high IT level, and business personnel who do not know programming can also develop the flow; non-invasively, the RPA can simulate human operation without opening the interface with a software system. However, conventional RPA has certain limitations: can only be based on fixed rules and application scenarios are limited. With the continuous development of the AI technology, the limitation of the traditional RPA is overcome by the deep fusion of the RPA and the AI, and the RPA + AI is a Hand work + Head work, which greatly changes the value of the labor force.
RPA is applied to various industries and in various fields. In the process of developing the RPA application, various application scenes and environments need to be faced, and an RPA implementation engineer usually needs to arrive at a client site to develop the application scenes, cannot prepare in advance, and cannot train and store the technology in advance. Certain specific application scenes cannot be installed on a personal computer, so that a real application scene is difficult to build for testing and training, and the testing and development can be started only when the application scene reaches a client site. If a simulation environment consistent with the actual application scene of a client can be provided, training and actual operation are carried out in advance, the training quality of an engineer can be greatly improved, and the competence of the engineer is improved. Therefore, a method for performing simulation training of RPA and AI is needed.
Disclosure of Invention
Embodiments of the present specification provide a simulation training method, apparatus, computing device and medium based on RPA and AI, so as to overcome at least one technical problem in the prior art.
According to a first aspect of the embodiments of the present specification, there is provided a simulation training method based on RPA and AI, including:
s1: receiving an RPA simulation training request sent by a user client through a Web page;
s2: acquiring corresponding cloud host information according to the RPA simulation training request, and connecting the remote desktop to a corresponding cloud host according to the corresponding cloud host information; the cloud host is provided with RPA training software and an application system corresponding to the RPA training software;
s3: and performing page integration on the remote desktop and the Web page to enable the Web page to enter the remote desktop, so as to operate RPA training software on the cloud host to train the RPA to be trained through the remote desktop.
Optionally, the RPA simulation training request includes an RPA training condition and a training code; the specific steps of S2 are as follows:
s21: acquiring an RPA training condition in the RPA simulation training request, and acquiring a cloud host type required by a user according to the RPA training condition; the RPA training condition is an application environment required by the RPA to be trained, and the type of the cloud host is determined by an application system corresponding to RPA training software installed on the cloud host;
s22: acquiring corresponding cloud host information according to the cloud host type;
s23: and connecting the remote desktop to the corresponding cloud host through RDP or VNC protocol.
Optionally, the specific step of S3 is:
s31: according to a page integration technology, performing page integration on the remote desktop and the Web page to enable the Web page to enter the remote desktop;
s32: and presenting an RPA training software interface on the cloud host to a user through the Web page, and receiving an operation instruction of the user on the remote desktop, so that the RPA training software on the cloud host is operated to train the RPA to be trained.
Optionally, the specific step of S22 is:
s221: acquiring a training code in the RPA simulation training request, and authenticating the training code, wherein the training code is a number representing user identity information and used for confirming whether a user has a use authority;
s222: when the training code is successfully authenticated, inquiring whether an idle cloud host exists in the corresponding remote desktop gateway or not according to the type of the cloud host;
s223: and when the remote desktop gateway has an idle cloud host, acquiring the information of the idle cloud host.
Optionally, after the S2, the method further includes:
s4: and acquiring a training code in the RPA simulation training request, creating a training session according to the training code, and timing the training session.
Optionally, after the S3, the method further includes:
s5: and presenting the time of the training session to a user through the Web page, disconnecting the training session when the time of the training session exceeds a preset training duration, restoring the cloud host to a preset state, and disconnecting the cloud host from a corresponding remote desktop.
Optionally, before the S5, the method further includes:
s6: and if the operation of prolonging the training time length of the user is received before the training session is disconnected, prolonging the preset training time length.
Optionally, after S3, the method further includes:
in the training process, displaying the training related content to a user in the form of text;
and converting the text into voice information based on a Natural Language Processing (NLP) method, and playing the voice information through the user client.
According to a second aspect of the embodiments of the present specification, there is provided an RPA and AI based simulation training apparatus, including:
the receiving module is configured to receive an RPA simulation training request sent by a user client through a Web page;
the connection module is configured to acquire corresponding cloud host information according to the RPA simulation training request and connect the remote desktop to a corresponding cloud host according to the corresponding cloud host information; the cloud host is provided with RPA training software and an application system corresponding to the RPA training software;
the training module is configured to perform page integration on the remote desktop and the Web page, so that the Web page enters the remote desktop, and the RPA to be trained is trained by operating the RPA training software on the cloud host through the remote desktop.
Optionally, the connection module comprises:
the information acquisition unit is configured to acquire an RPA training condition in the RPA simulation training request and acquire the type of the cloud host required by the user according to the RPA training condition; the RPA training condition is an application environment required by the RPA to be trained, and the type of the cloud host is determined by an application system corresponding to RPA training software installed on the cloud host;
the cloud host information acquisition unit is configured to acquire corresponding cloud host information according to the cloud host type;
a connection unit configured to connect the remote desktop to a corresponding cloud host through an RDP or VNC protocol.
Optionally, the training module comprises:
the integration unit is configured to perform page integration on the remote desktop and the Web page according to a page integration technology, so that the Web page enters the remote desktop;
and the training unit is configured to present an RPA training software interface on the cloud host to a user through the Web page, receive an operation instruction of the user on the remote desktop, and thus operate the RPA training software on the cloud host to train the RPA to be trained.
Optionally, the cloud host information obtaining unit includes:
the authentication subunit is configured to acquire a training code in the RPA simulation training request and authenticate the training code, wherein the training code is a number representing user identity information and used for confirming whether a user has a use authority;
the inquiry subunit is configured to inquire whether an idle cloud host exists in the corresponding remote desktop gateway or not according to the type of the cloud host when the training code is successfully authenticated;
the cloud host acquisition subunit is configured to acquire idle cloud host information when there is an idle cloud host in the remote desktop gateway.
Optionally, the apparatus further comprises:
a text presentation module configured to: in the training process, displaying the training related content to a user in the form of text;
a speech translation module configured to: and converting the text into voice information based on a Natural Language Processing (NLP) method, and playing the voice information through the user client.
According to a third aspect of embodiments herein, there is provided a computing device comprising a storage device for storing a computer program and a processor for executing the computer program to enable the computing device to perform the steps of the RPA and AI based simulation training method when executed.
According to a fourth aspect of embodiments herein, there is provided a storage medium storing a computer program for use in the above-mentioned computing device, the computer program, when executed by a processor, implementing the steps of the RPA and AI based simulation training method.
The beneficial effects of the embodiment of the specification are as follows:
after receiving an RPA simulation training request sent by a user client through a Web page, acquiring corresponding cloud host information according to the RPA simulation training request, and acquiring a corresponding cloud host according to the cloud host information, so that a remote desktop is connected to the corresponding cloud host, and the remote desktop is acquired to the desktop of the cloud host. After the corresponding cloud host is obtained, performing page process on the remote desktop and the Web page to enable the Web page to enter the remote desktop, so that a user can operate the remote desktop on the Web page, and can train the RPA to be trained by using RPA training software installed on the cloud host because the remote desktop is connected with the cloud host. The method is based on a Web remote desktop technology and cloud server resources, achieves the effect of simulating a plurality of actual application scenes on the cloud host by installing the application system on the cloud host, provides a real development environment and application scenes for an RPA (resilient packet access) implementation engineer, and can be used for the RPA implementation engineer to perform simulation training of the real environment. The user can enter the training access server through the Web page to train without installing any software or configuring any environment, and can perform actual training in a real environment, so that the implementation capability of an RPA engineer can be comprehensively improved, and the time and cost for project implementation can be shortened. The problems that in the prior art, RPA engineers can not prepare in advance and can not train and store technology in advance when facing various application scenes and environments are solved, and the problems that in the prior art, certain specific scenes can not be installed on a personal computer, a real application scene is difficult to build for testing and training, and only a client site can be reached for testing and developing are solved. The invention sets a link of authenticating the training code, acquires the training code from the RPA simulation training request, authenticates the training code, and can acquire the idle cloud host in the remote desktop gateway only after the authentication is successful, and can enter the remote desktop for training. The training code is set for authentication and controlling the use authority of the training resource. In addition, the invention can establish a training session according to the training code, time the training session, automatically disconnect the training session when the training time exceeds the preset training time, namely after the training session time of the user is used up, and restore the cloud host to the preset state. If the user performs the operation of prolonging the training time before the training session is disconnected, the training time can be prolonged. By controlling the training duration, the single user is prevented from occupying training resources for a long time. And after the last user finishes using, the cloud host after using is restored to a preset state, and the phenomenon that after the last user operates, the environment of the cloud host changes and the training of the next user is influenced is avoided.
The innovation points of the embodiment of the specification comprise:
1. the method is based on a Web remote desktop technology and cloud server resources, achieves the effect of simulating a plurality of actual application scenes on the cloud host by installing the application system on the cloud host, provides a real development environment and application scenes for an RPA (resilient packet access) implementation engineer, and can be used for the RPA implementation engineer to perform simulation training of the real environment. The user can enter the training access server through the Web page to train without installing any software or configuring any environment, and can perform actual training in a real environment, so that the implementation capability of an RPA engineer can be comprehensively improved, and the time and cost for project implementation can be shortened. The problems that in the prior art, RPA engineers are faced with various application scenes and environments, advance preparation cannot be carried out, and training and technical storage cannot be carried out in advance are solved, and the problems that in the prior art, certain specific scenes cannot be installed on a personal computer, a real application scene is difficult to build for testing and training, and only a client site can be reached for testing and development are solved.
2. The invention sets a link of authenticating the training code, acquires the training code from the RPA simulation training request, authenticates the training code, and can acquire the idle cloud host in the remote desktop gateway only after the authentication is successful, and can enter the remote desktop for training. The setting of the training code is used for authentication and controlling the use authority of the training resource, and is one of the innovative points of the embodiment of the specification.
3. According to the invention, a training session is established according to the training code, the training session is timed, and when the training time exceeds the preset training duration, namely the training session of the user is automatically disconnected after the training session time of the user is used up, and the cloud host is restored to the preset state. If the user performs the operation of prolonging the training time before the training session is disconnected, the training time can be prolonged. By controlling the training duration, the single user is prevented from occupying training resources for a long time. And after the last user finishes using, the cloud host after using is restored to a preset state, so that the situation that the environment of the cloud host changes after the last user operates and the training of the next user is influenced is avoided, and the method is one of the innovation points of the embodiment of the specification.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present specification, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic structural diagram illustrating an RPA training system provided in accordance with an embodiment of the present disclosure;
fig. 2 is a schematic flowchart illustrating a simulation training method based on RPA and AI according to an embodiment of the present disclosure;
FIG. 3 is a block diagram illustrating a simulated training device based on RPA and AI according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram illustrating a computing device provided according to an embodiment of the present specification.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present specification without any inventive step are within the scope of the present specification.
It should be noted that the terms "including" and "having" and any variations thereof in the embodiments of the present specification and the drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
In the description of the present invention, "cloud services" are an augmentation, usage and interaction model of internet-based related services, typically involving the provision of dynamically scalable and often virtualized resources over the internet.
In the description of the present invention, a "system image" is an image backup made to a system partition. The embodiment of the invention is used for carrying out mirror image backup on a cloud desktop.
In the description of the invention, the 'reverse proxy' is to proxy the application system client to the initial cloud host, so that a user can use relevant application software on a cloud desktop without sensing, without concerning the position of a server, without concerning the configuration problem of an application environment, and without automatically constructing a complex client software environment.
The embodiment of the specification discloses a simulation training method and device based on RPA and AI, a computing device and a storage medium. The following are detailed below.
The RPA can simulate the operation of a human on a computer through specific 'robot software', and automatically execute the flow task according to the rules.
AI is a new technical science to study, develop theories, methods, techniques and applications for simulating, extending and expanding human intelligence.
Fig. 1 is a schematic structural diagram illustrating an RPA training system provided in accordance with an embodiment of the present disclosure. As shown in fig. 1, the specific structure of the training system includes a training access server, a remote desktop gateway, and a cloud desktop. In the training system building process, the remote desktop gateway is built through an open source project, a cloud host provided by a cloud service provider is adopted by a cloud desktop, an RPA development tool and related training resources are pre-installed, and various application systems are installed on the cloud desktop through a reverse proxy technology, so that a user can use related application software on the cloud desktop without sensing, the position of a server does not need to be concerned, the configuration problem of an application environment does not need to be concerned, and a complex client software environment does not need to be built by himself. And making a system mirror image for the cloud desktop, opening more cloud desktops, and configuring the cloud desktops into a remote desktop gateway. And erecting a training access server, and configuring resources of a remote desktop and a cloud desktop so as to complete the construction process of the training system.
In the training process, firstly, a user accesses a Web page of a training access server through a Web browser, a training code issued in advance is input on the Web page for authentication, the training system allocates a cloud desktop for the user under the condition that the authentication is successful and available training resources exist, the Web page enters a remote desktop after the allocation is successful, and the user operates the remote desktop on the Web page and uses RPA training software and related resources in the cloud desktop for training.
After the training system distributes cloud desktops to users, the training system creates a training session for the users, times the training session, and counts down according to preset training time, so that the training time of each user can be conveniently controlled, and the fact that a single user occupies training resources for a long time is avoided. The training system presents a training duration countdown page to the user through the Web page, so that the user can conveniently check the residual training duration. The user may enter a new available training code to extend the training duration. After the training time of the user training session is used up, the training system can automatically disconnect the session, and the cloud desktop environment is protected through the system mirror image, so that the situation that the training of the next user is influenced due to environment change after the previous user operates the cloud desktop environment is avoided.
The RPA training system which can be used for simulation training is built in the embodiment, a real development environment and an application scene can be provided for an RPA implementation engineer, the implementation capability of the RPA engineer can be comprehensively promoted, and the time and the cost for project implementation can be shortened. In the embodiment, the remote desktop gateway is mainly adopted to realize remote operation of the cloud desktop, and numerous practical application scenes are simulated on the cloud desktop through a reverse proxy technology. A user can enter a remote desktop through a Web interface to train, and the actual training under a real environment can be carried out without installing any software or configuring any environment.
Fig. 2 is a flowchart illustrating a simulation training method based on RPA and AI according to an embodiment of the present disclosure. As shown in fig. 2, the method specifically includes the following steps:
s210: receiving an RPA simulation training request sent by a user client through a Web page;
and the user accesses the Web page of the training access server through the browser and sends an RPA simulation training request to the training access server through the Web page.
S220: acquiring corresponding cloud host information according to the RPA simulation training request, and connecting the remote desktop to a corresponding cloud host according to the corresponding cloud host information; the cloud host is provided with RPA training software and an application system corresponding to the RPA training software;
acquiring an RPA training condition in the RPA simulation training request, and acquiring a cloud host type required by a user according to the RPA training condition; the RPA training condition is an application environment required by the RPA to be trained, and the type of the cloud host is determined by an application system corresponding to RPA training software installed on the cloud host; acquiring corresponding cloud host information according to the cloud host type; and connecting the remote desktop to the corresponding cloud host through RDP or VNC protocol. Through the connection of the remote desktop and the cloud host, the remote operation of the cloud host can be realized.
In a specific embodiment, the cloud host can adopt a cloud host provided by a cloud service provider, RPA training software and related training resources are installed on the initial cloud host, and an application system client is proxied to the initial cloud host through a reverse proxy technology, so that a user can use the related application software on a cloud desktop without sensing, without concerning the position of a server, without concerning the configuration problem of an application environment, and without automatically constructing a complex client software environment. The method comprises the steps of installing RPA training software and an application system corresponding to the RPA training software on an initial cloud host, manufacturing a system mirror image for the cloud host, and creating a plurality of cloud hosts through the system mirror image without reinstalling the application system by a user. Meanwhile, after the last user finishes using, the interface provided by the cloud service provider can be used, the used cloud host is reset by using the system mirror image, and the cloud host is restored to the initial state for training, so that the phenomenon that the training of the next user is influenced due to environment change after the last user operates the cloud host is avoided. And configuring a plurality of cloud hosts configured with RPA training software and an application system into the remote desktop gateway, so that the remote desktop gateway can be connected with the cloud hosts.
In a specific embodiment, a training code in the RPA simulation training request is obtained first, and the training code is authenticated, where the training code is a number representing user identity information and used to determine whether a user has a use right; when the training code is successfully authenticated, inquiring whether an idle cloud host exists in the corresponding remote desktop gateway or not according to the type of the cloud host; and when the remote desktop gateway has an idle cloud host, acquiring the information of the idle cloud host. In this embodiment, a link of authenticating the training code is set, the training code is obtained from the RPA simulation training request, and the training code is authenticated, and only if the authentication is successful, an idle cloud host in the remote desktop gateway can be obtained, and then the remote desktop can be accessed for training. The training code is set for authentication and controlling the use authority of the training resource.
In this embodiment, the training access server may present the time of the training session to the user through the Web page, and disconnect the training session, restore the cloud host to a preset state, and disconnect the connection between the cloud host and the corresponding remote desktop when the time of the training session exceeds a preset training duration. And if the operation of prolonging the training time length of the user is received before the training session is disconnected, prolonging the preset training time length. In this embodiment, a training session is created according to the training code, the training session is timed, and when the training time exceeds a preset training duration, that is, after the training session time of the user is used up, the training session is automatically disconnected, and the cloud host is restored to a preset state. If the user performs the operation of prolonging the training time before the training session is disconnected, the training time can be prolonged. By controlling the training duration, the single user is prevented from occupying training resources for a long time.
S230: and performing page integration on the remote desktop and the Web page to enable the Web page to enter the remote desktop, so as to operate RPA training software on the cloud host to train the RPA to be trained through the remote desktop.
According to a page integration technology, performing page integration on the remote desktop and the Web page to enable the Web page to enter the remote desktop; and presenting an RPA training software interface on the cloud host to a user through the Web page, and receiving an operation instruction of the user on the remote desktop, so that the RPA training software on the cloud host is operated to train the RPA to be trained.
Further, in the training process, the training related content can be displayed to the user in the form of text. The text can play a role in guiding and prompting the user operation. Meanwhile, the text can be converted into voice information based on a Natural Language Processing (NLP) technology, and the voice information is synchronously played to the user through the user client, so as to improve the operation experience of the user.
In a general embodiment, after receiving an RPA simulation training request sent by a user client through a Web page, corresponding cloud host information is obtained according to the RPA simulation training request, and a corresponding cloud host can be obtained according to the cloud host information, so that a remote desktop is connected to the corresponding cloud host, and the remote desktop is obtained from the desktop of the cloud host. After the corresponding cloud host is obtained, performing page process on the remote desktop and the Web page to enable the Web page to enter the remote desktop, so that a user can operate the remote desktop on the Web page, and can train the RPA to be trained by using RPA training software installed on the cloud host because the remote desktop is connected with the cloud host. The method is based on a Web remote desktop technology and cloud server resources, achieves the effect of simulating a plurality of actual application scenes on the cloud host by installing the application system on the cloud host, provides a real development environment and application scenes for an RPA (resilient packet access) implementation engineer, and can be used for the RPA implementation engineer to perform simulation training of the real environment. The user can enter the training access server through the Web page to train without installing any software or configuring any environment, and can perform actual training in a real environment, so that the implementation capability of an RPA engineer can be comprehensively improved, and the time and cost for project implementation can be shortened. The problems that in the prior art, RPA engineers can not prepare in advance and can not train and store technology in advance when facing various application scenes and environments are solved, and the problems that in the prior art, certain specific scenes can not be installed on a personal computer, a real application scene is difficult to build for testing and training, and only a client site can be reached for testing and developing are solved. The invention sets a link of authenticating the training code, acquires the training code from the RPA simulation training request, authenticates the training code, and can acquire the idle cloud host in the remote desktop gateway only after the authentication is successful, and can enter the remote desktop for training. The training code is set for authentication and controlling the use authority of the training resource. In addition, the invention can establish a training session according to the training code, time the training session, automatically disconnect the training session when the training time exceeds the preset training time, namely after the training session time of the user is used up, and restore the cloud host to the preset state. If the user performs the operation of prolonging the training time before the training session is disconnected, the training time can be prolonged. By controlling the training duration, the single user is prevented from occupying training resources for a long time. And after the last user finishes using, the cloud host after using is restored to a preset state, and the phenomenon that after the last user operates, the environment of the cloud host changes and the training of the next user is influenced is avoided.
Fig. 3 is a block diagram illustrating a simulated training device based on RPA and AI according to an embodiment of the present disclosure. As shown in fig. 3, an RPA simulation training apparatus provided in an embodiment of the present specification may include:
the receiving module 310 is configured to receive an RPA simulation training request sent by a user client through a Web page;
the connection module 320 is configured to acquire corresponding cloud host information according to the RPA simulation training request and connect the remote desktop to a corresponding cloud host according to the corresponding cloud host information; the cloud host is provided with RPA training software and an application system corresponding to the RPA training software;
in one embodiment, the connection module comprises:
the information acquisition unit is configured to acquire an RPA training condition in the RPA simulation training request and acquire the type of the cloud host required by the user according to the RPA training condition; the RPA training condition is an application environment required by the RPA to be trained, and the type of the cloud host is determined by an application system corresponding to RPA training software installed on the cloud host; the cloud host information acquisition unit is configured to acquire corresponding cloud host information according to the cloud host type; a connection unit configured to connect the remote desktop to a corresponding cloud host through an RDP or VNC protocol.
In this embodiment, the cloud host information obtaining unit includes:
the authentication subunit is configured to acquire a training code in the RPA simulation training request and authenticate the training code, wherein the training code is a number representing user identity information and used for confirming whether a user has a use authority; the inquiry subunit is configured to inquire whether an idle cloud host exists in the corresponding remote desktop gateway or not according to the type of the cloud host when the training code is successfully authenticated; the cloud host acquisition subunit is configured to acquire idle cloud host information when there is an idle cloud host in the remote desktop gateway.
In a specific embodiment, the apparatus may further include a timing module, where the timing module is configured to obtain a training code in the RPA simulation training request, create a training session according to the training code, and time the training session.
The training module 330 is configured to perform page integration on the remote desktop and the Web page, so that the Web page enters the remote desktop, and the remote desktop operates the RPA training software on the cloud host to train the RPA to be trained.
In a particular embodiment, the training module includes:
the integration unit is configured to perform page integration on the remote desktop and the Web page according to a page integration technology, so that the Web page enters the remote desktop; and the training unit is configured to present an RPA training software interface on the cloud host to a user through the Web page, receive an operation instruction of the user on the remote desktop, and thus operate the RPA training software on the cloud host to train the RPA to be trained.
In a specific embodiment, the apparatus may further include a supervision module configured to present the time of the training session to the user through the Web page, disconnect the training session, restore the cloud host to a preset state, and disconnect the cloud host from the corresponding remote desktop when the time of the training session exceeds a preset training duration.
In this embodiment, the apparatus may further include a renewal module configured to extend the preset training duration if an operation of extending the training duration by the user is received before the training session is disconnected.
Optionally, the apparatus further comprises:
a text presentation module configured to: in the training process, displaying the training related content to a user in the form of text;
a speech translation module configured to: and converting the text into voice information based on a Natural Language Processing (NLP) method, and playing the voice information through the user client.
According to the content, after receiving the RPA simulation training request sent by the user client through the Web page, the corresponding cloud host information is obtained according to the RPA simulation training request, and the corresponding cloud host can be obtained according to the cloud host information, so that the remote desktop is connected to the corresponding cloud host, and the remote desktop is obtained to the desktop of the cloud host. After the corresponding cloud host is obtained, performing page process on the remote desktop and the Web page to enable the Web page to enter the remote desktop, so that a user can operate the remote desktop on the Web page, and can train the RPA to be trained by using RPA training software installed on the cloud host because the remote desktop is connected with the cloud host. The method is based on a Web remote desktop technology and cloud server resources, achieves the effect of simulating a plurality of actual application scenes on the cloud host by installing the application system on the cloud host, provides a real development environment and application scenes for an RPA (resilient packet access) implementation engineer, and can be used for the RPA implementation engineer to perform simulation training of the real environment. The user can enter the training access server through the Web page to train without installing any software or configuring any environment, and can perform actual training in a real environment, so that the implementation capability of an RPA engineer can be comprehensively improved, and the time and cost for project implementation can be shortened. The problems that in the prior art, RPA engineers can not prepare in advance and can not train and store technology in advance when facing various application scenes and environments are solved, and the problems that in the prior art, certain specific scenes can not be installed on a personal computer, a real application scene is difficult to build for testing and training, and only a client site can be reached for testing and developing are solved. The invention sets a link of authenticating the training code, acquires the training code from the RPA simulation training request, authenticates the training code, and can acquire the idle cloud host in the remote desktop gateway only after the authentication is successful, and can enter the remote desktop for training. The training code is set for authentication and controlling the use authority of the training resource. In addition, the invention can establish a training session according to the training code, time the training session, automatically disconnect the training session when the training time exceeds the preset training time, namely after the training session time of the user is used up, and restore the cloud host to the preset state. If the user performs the operation of prolonging the training time before the training session is disconnected, the training time can be prolonged. By controlling the training duration, the single user is prevented from occupying training resources for a long time. And after the last user finishes using, the cloud host after using is restored to a preset state, and the phenomenon that after the last user operates, the environment of the cloud host changes and the training of the next user is influenced is avoided.
Fig. 4 is a schematic structural diagram illustrating a computing device provided according to an embodiment of the present specification. As shown in fig. 4, a computing device 400 is provided, which includes a storage device 410 and a processor 420, the storage device 410 is used for storing a computer program, and the processor 420 runs the computer program to make the computing device 400 execute the steps of the simulation training method based on RPA and AI.
In the embodiment of the present specification, a storage medium is provided, which stores a computer program used in the above-mentioned computing device 400, and when the computer program is executed by a processor, the computer program implements the steps of the RPA simulation training method.
To sum up, the embodiments of the present specification provide a simulation training method and apparatus, a computing device, and a storage medium based on an RPA and an AI, and a Web-based remote desktop technology and cloud server resources, and by installing an application system on a cloud host, an effect of simulating numerous actual application scenarios on the cloud host is achieved, so as to provide a real development environment and application scenarios for an RPA implementing engineer, and the method and apparatus can be used for the RPA implementing engineer to perform simulation training of a real environment, thereby facilitating to comprehensively improve the implementation ability of the RPA engineer and shorten the time and cost for implementing a project.
Those of ordinary skill in the art will understand that: the figures are merely schematic representations of one embodiment, and the blocks or processes in the figures are not necessarily required to practice this description.
Those of ordinary skill in the art will understand that: modules in the devices in the embodiments may be distributed in the devices in the embodiments according to the description of the embodiments, or may be located in one or more devices different from the embodiments with corresponding changes. The modules of the above embodiments may be combined into one module, or further split into multiple sub-modules.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solutions of the present specification, and not to limit them; although the present description has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present specification.
Claims (11)
1. A simulation training method based on RPA and AI, which is suitable for being executed on a training access server, is characterized in that the method comprises the following steps:
s1: receiving an RPA simulation training request sent by a user client through a Web page;
s2: acquiring corresponding cloud host information according to the RPA simulation training request, and connecting the remote desktop to a corresponding cloud host according to the corresponding cloud host information; the cloud host is provided with RPA training software and an application system corresponding to the RPA training software;
s3: and performing page integration on the remote desktop and the Web page to enable the Web page to enter the remote desktop, so as to operate RPA training software on the cloud host to train the RPA to be trained through the remote desktop.
2. The method of claim 1, wherein the RPA simulated training request comprises RPA training conditions and a training code; the specific steps of S2 are as follows:
s21: acquiring an RPA training condition in the RPA simulation training request, and acquiring a cloud host type required by a user according to the RPA training condition; the RPA training condition is an application environment required by the RPA to be trained, and the type of the cloud host is determined by an application system corresponding to RPA training software installed on the cloud host;
s22: acquiring corresponding cloud host information according to the cloud host type;
s23: and connecting the remote desktop to the corresponding cloud host through RDP or VNC protocol.
3. The method according to claim 1, wherein the specific steps of S3 are:
s31: according to a page integration technology, performing page integration on the remote desktop and the Web page to enable the Web page to enter the remote desktop;
s32: and presenting an RPA training software interface on the cloud host to a user through the Web page, and receiving an operation instruction of the user on the remote desktop, so that the RPA training software on the cloud host is operated to train the RPA to be trained.
4. The method according to claim 2, wherein the specific steps of S22 are:
s221: acquiring a training code in the RPA simulation training request, and authenticating the training code, wherein the training code is a number representing user identity information and used for confirming whether a user has a use authority;
s222: when the training code is successfully authenticated, inquiring whether an idle cloud host exists in the corresponding remote desktop gateway or not according to the type of the cloud host;
s223: and when the remote desktop gateway has an idle cloud host, acquiring the information of the idle cloud host.
5. The method according to claim 4, further comprising, after the S2:
s4: and acquiring a training code in the RPA simulation training request, creating a training session according to the training code, and timing the training session.
6. The method according to claim 5, further comprising, after the S3:
s5: and presenting the time of the training session to a user through the Web page, disconnecting the training session when the time of the training session exceeds a preset training duration, restoring the cloud host to a preset state, and disconnecting the cloud host from a corresponding remote desktop.
7. The method according to claim 6, prior to the S5, further comprising:
s6: and if the operation of prolonging the training time length of the user is received before the training session is disconnected, prolonging the preset training time length.
8. The method of claim 1, wherein after S3, the method further comprises:
in the training process, displaying the training related content to a user in the form of text;
and converting the text into voice information based on a Natural Language Processing (NLP) method, and playing the voice information through the user client.
9. A simulation training device based on RPA and AI, characterized by comprising:
the receiving module is configured to receive an RPA simulation training request sent by a user client through a Web page;
the connection module is configured to acquire corresponding cloud host information according to the RPA simulation training request and connect the remote desktop to a corresponding cloud host according to the corresponding cloud host information; the cloud host is provided with RPA training software and an application system corresponding to the RPA training software;
the training module is configured to perform page integration on the remote desktop and the Web page, so that the Web page enters the remote desktop, and the RPA to be trained is trained by operating the RPA training software on the cloud host through the remote desktop.
10. A computing device comprising a storage device for storing a computer program and a processor for executing the computer program to cause the computing device to perform the steps of the method according to any of claims 1-8.
11. A storage medium, characterized in that it stores a computer program for use in a computing device according to claim 9, which computer program, when being executed by a processor, carries out the steps of the method according to any one of claims 1-8.
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