CN114417275A - RPA-based automatic login method and device and storage medium - Google Patents

Abstract

The application discloses an automatic login method based on RPA, which comprises the steps of obtaining account information input by a user, wherein the account information contains secret information and a login mode, sending a login request according to the login mode by using the secret information, logging in the account information according to the login request, judging whether the account information is in a login state or not, and if not, logging in the account information again, the method realizes the automation of system login without manually logging in system accounts of each system, simultaneously realizes the secondary login of a disconnected system account without manually logging in the system account, solves the problems that in the prior art, when an RPA product is subjected to multi-system management, manual login needs to be carried out on the system account, and when the system account is disconnected, manual login needs to be carried out on the system account again, the operating efficiency of the system is improved.

Description

Automatic login method, device and storage medium based on RPA

technical field

The present application relates to the field of artificial intelligence, in particular to an automated login method, device and storage medium based on RPA.

Background technique

With the continuous development of modern information technology, all walks of life in the society have produced a variety of products to meet the needs. In order to meet the individual needs of various industries, each software is very different, and it also becomes complicated with different businesses. Many operations are repeated and the number is large. In this scenario, in order to improve the efficiency of employees, the With the introduction of RPA products, existing RPA products allow users to automatically run business processes by writing automated scripts. When it is necessary to use RPA products to transport products across systems for automated management, it is necessary to manually log in to the corresponding system. As a result, users need to manually log in to the system accounts of each system when they need to manage multiple systems through RPA products, and manually re-login to the system accounts when the system accounts are disconnected, which reduces the operating efficiency of the system.

SUMMARY OF THE INVENTION

The purpose of this application is to provide an automatic login method, device and storage medium based on RPA, which aims to solve the problem that in the prior art, when an RPA product performs multi-system management, it is necessary to manually log in the system accounts of each system, and in the When the system account is disconnected, it is necessary to manually re-login the system account.

To achieve the above purpose, the technical scheme adopted in this application is:

The application provides an automated login method based on RPA, including:

Obtain the account information entered by the user, where the account information includes confidential information and login methods;

Send a login request using the secret information according to the login method;

log in to the account information according to the login request;

It is judged whether the account information is in the login state, and if not, the account information is re-login.

Further, after the login request is sent using the confidential information according to the login method, the method further includes:

Get the monitoring period that matches the current time node;

obtaining a preset warning value matching the monitoring period;

Judging whether the monitoring period is an idle period, and if so, generating a forecast period with the current time node as the origin, and splitting the forecast period into a calculation period and a monitoring period,

Using a linear regression equation to calculate the predicted number of times the login request is sent based on the calculation period and the monitoring period;

Judging whether the predicted sending times is greater than and equal to the preset warning value;

If so, send an alarm message.

Further, calculating the predicted sending times of the login request by using a linear regression equation based on the calculation period and the monitoring period specifically includes:

Obtain the number of times of sending the login request after the end of the calculation period, and record the number of times of sending the login request as the Y sequence value;

Denote the calculation period as the X series value;

Construct a linear regression line equation according to the X series value and the Y series value;

Calculate the budget value of the Y series value after the monitoring period ends according to the linear regression equation;

The budget value of the Y sequence value is recorded as the predicted number of transmissions.

Further, after the acquisition of the monitoring period matching the current time, the method further includes:

judging whether the monitoring period is a busy time period;

If so, obtain the virtual IP address library;

Obtain the login success rate of each IP address in the virtual IP address database in the busy time period;

Sorting the IP addresses of the virtual IP address library according to the login success rate to generate an IP library to be logged in;

Get the preset switching period;

According to the preset switching period, IP address switching is performed according to the sequence of the IP addresses in the to-be-registered IP database.

Further, the sending a login request using the confidential information according to the login method includes:

Determine whether the login method is an account and password login;

If so, obtain the account password information in the confidential information;

Send a login request according to the account password information.

Further, the sending a login request using the confidential information according to the login method further includes:

Determine whether the login method is login credential login;

If so, obtain the login credential information in the confidential information;

Send a login request according to the login credential information.

Further, determine whether the login method is a verification code login;

If so, obtain the verification secret;

Generate a corresponding verification answer according to the verification secret;

Send a login request according to the verification answer information.

The application also provides an RPA-based automated login device, including a web management system module, an automated login module, and a login maintenance module;

The web management system module, the automatic login module and the login maintenance module are connected to each other;

Wherein, the web management system module is provided with an information input unit, the automatic login module is provided with a control unit and a login unit, and the login maintenance module is provided with a judgment unit;

The information entry unit is used to obtain account information entered by the user, and the account information includes confidential information and a login method;

The control unit is configured to use the secret information to send a login request according to the login method;

The login unit is configured to log in the account information according to the login request;

The judging unit is used for judging whether the account information is in a login state, and if not, re-login the account information.

The present application also provides a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed, implements the RPA-based automatic login method described in any of the above.

The present application also provides a computer device, which includes a processor, a memory, and a computer program stored on the memory and executable on the processor, when the processor executes the computer program, the above-mentioned based Automated login methods for RPA.

Beneficial effects of the present application: The present application automatically matches the confidential information for unified login after identifying the login method of the peripheral system, and realizes the automation of system login without manually logging in to the system accounts of each system, and in the identification After the system account is disconnected, the account information is automatically re-login, which realizes that there is no need to manually re-login the disconnected system account, and solves the need for RPA products in the prior art to perform multi-system management. The system account of each system is manually logged in, and when the system account is disconnected, the system account needs to be manually re-login, which improves the operating efficiency of the system.

Description of drawings

Fig. 1 is the method flow chart of a kind of automatic login method based on RPA of the application;

Fig. 2 is the structural representation of a kind of RPA-based automatic login device of the application;

3 is a schematic structural diagram of a web management system module in an embodiment of the application;

4 is a schematic structural diagram of an automated login module in an embodiment of the application;

5 is a schematic structural diagram of a login maintenance module in an embodiment of the application;

FIG. 6 is a structural block diagram of an embodiment of a storage medium of the present application;

FIG. 7 is a structural block diagram of an embodiment of a computer device of the present application;

The label names in the figure are: 1-web management system module, 2-automatic login module, 3-login maintenance module, 11-information input unit, 21-control unit, 22-login unit, 31-judgment unit.

Detailed ways

It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

It will be understood by those skilled in the art that the singular forms "a", "an", "the" and "the" as used herein can include the plural forms as well, unless expressly stated otherwise. It should be further understood that the word "comprising" used in the specification of this application refers to the presence of stated features, integers, steps, operations, elements and/or components, but does not preclude the presence or addition of one or more other features, Integers, steps, operations, elements, components and/or groups thereof. As used herein, the term "and/or" includes all or any element and all combination of one or more of the associated listed items.

Referring to Fig. 1, the present application provides an automated login method based on RPA, including:

S1. Obtain the account information entered by the user, where the account information includes confidential information and a login method;

S2. Send a login request by using the confidential information according to the login method;

S3. Log in the account information according to the login request;

S4. Determine whether the account information is in a login state, and if not, log in the account information again.

As described in the above step S1, the RPA system obtains account information manually entered by the user, and the account information is used to log in to various peripheral systems that the user needs to log in and monitor through the RPA system, and the account information contains information for logging in to the system The secret information and the login method matching the secret information, wherein the secret information and the login method are in one-to-one correspondence.

As described in the above step S2, the RPA system acquires the corresponding login method that needs to log in to the system, such as password login, password security login or verification code login, etc., and then the RPA system acquires the security information matching the login method. Send, such as login password, login password and login verification code, etc., so as to realize the function of sending login request;

It can be understood that the login method is not limited to password login, password security login or verification code login, and the security information matching the login method is not limited to login password, login password security or login verification code. There are three types, which are not limited in this application.

As described in the above step S3, the RPA system logs in to the corresponding peripheral system according to the confidential information and the login method, thereby realizing the function of the PRA system automatically logging in to the corresponding peripheral system.

As described in the above step S4, the RPA system obtains the login status of the account information in real time, and judges whether the account information is in the login state in the corresponding peripheral system, and if not, the RPA system records the account information Re-login is automatically performed in the peripheral system, so as to maintain the login state of the account information in the peripheral system, and the function of re-login to the disconnected system account by manual means is not required.

Through the above method, the present application automatically matches the confidential information for unified login after identifying the login method of the peripheral system, and realizes the automation of system login without manually logging in to the system accounts of each system. After the account is disconnected, the account information is automatically re-login, which realizes that there is no need to manually log in to the system account that is disconnected, and solves the need for RPA products in the prior art to perform multi-system management. The problem of manually logging in the system account of the system account, and manually re-login the system account when the system account is disconnected, improves the operating efficiency of the system.

In an embodiment, after the step S2, it further includes:

S21. Obtain a monitoring period matching the current time node, obtain a preset early warning value matching the monitoring period, and determine whether the monitoring period is an idle time period, and if so, obtain a prediction period with the current time node as the origin , and split the forecast period into a calculation period and a monitoring period, and use a linear regression equation to calculate the predicted sending times of the login request based on the computing period and the monitoring period, and determine whether the predicted sending times is greater than and equal to The preset warning value, if yes, sends an alarm message.

As described in the above embodiment, the monitoring period includes a free time period and a busy time period, the RPA system executes different account information operation instructions according to the distinction of the monitoring period, and the RPA system obtains the current time, And obtain the monitoring period that matches the current time according to the current time, and then the RPA system judges whether the monitoring period is an idle time period, and if so, the RPA system generates a prediction period with the current time node as the origin, and the The prediction period is used to predict the number of subsequent sending times of the login request according to the number of times the login request is sent within the prediction period,

Afterwards, the RPA system divides the monitoring period into the calculation period and the monitoring period, and uses a linear regression equation to calculate the predicted sending times of the login request according to the calculation period and the monitoring period, and Determine whether the predicted sending times are greater than and the preset warning value, and if so, send alarm information to the background system, thereby reminding the staff of the background system that the currently automatically sent login request is sent too many times and adjust accordingly , so that the PRA system can adjust the number of automatic sending times of the login request according to the current time period, avoiding the crash of the RPA system due to the excessive automatic sending times of the login request or the system being maliciously attacked, thereby ensuring the RPA system. The normal operation of the automatic login function also improves the automatic login efficiency of the RPA system.

It can be understood that the duration of the prediction period and the pre-warning value of the preset pre-warning value can be set by the user, which is not limited in this application.

In a specific application scenario of this embodiment, the current time node is 10 o'clock, and the monitoring period from 9 o'clock to 11 o'clock corresponding to 10 o'clock is an idle time period, and the RPA system determines that the monitoring period is an idle time period, After that, the RPA system uses 10 o'clock as the time node to obtain the subsequent 30-minute time period as the prediction period, and then the RPA system records the first 10 minutes of the prediction period as the calculation period, and the last 20 minutes of the prediction period. The minute is recorded as the monitoring period, and then a linear regression line equation is constructed according to the number of automatic sending times of the login request and the calculation period, so as to obtain a straight line fitting equation, so as to estimate the number of predicted sending times, and determine the predicted sending times. Whether the number of times is greater than the preset warning value, if so, send an alarm message to the background system

That is, in the actual application scenario of the present application, the RPA system uses the linear regression equation to estimate the number of predicted sending times after 30 minutes. The calculation is performed using the TREND function, which is not limited in this application.

S22. Acquire the number of times of sending the login request after the calculation period ends, and denote the number of times of sending the login request as a Y sequence value, and denote the calculation period as an X sequence value, according to the X sequence value value and the Y series value to construct a linear regression line equation, calculate the budget value of the Y series value after the monitoring period ends according to the linear regression line equation, and record the budget value of the Y series value as the Predicted send times.

As described in the above embodiment, the prediction period is 30 minutes, the calculation period is 0 minutes-10 minutes (y≤10), and the monitoring period is 20-30 minutes (20<y≤30);

The RPA system obtains the number of times of sending the login request automatically sent after the calculation period ends (ie y≤10), and then according to the number of times of sending the login request automatically sent and the calculation period (y≤10) ) to construct a linear regression line equation to obtain a straight line fitting equation, and then use the straight line fitting equation to calculate the budget value of the Y sequence value after the monitoring period (20<y≤30) ends, and calculate the If the budget value of the Y sequence value is recorded as the predicted number of times of sending the login request, the RPA system infers that the number of login requests sent by the system through the automatic login function after 30 minutes is the budget value of the Y sequence value.

In the specific application scenario of the present application, the RPA system obtains 20 automatic sending times of the login request after 10 minutes of the current time node, and then according to the automatic sending times of the login request (Y sequence value = 50) and the calculation period (X series value < 10) to construct a linear regression line equation, and then use the linear regression line equation to calculate the budget value of the Y series value after the monitoring period ends to 140, Then, the RPA system infers that the number of automatic sending times of the login request sent by the system through the automatic login function is 140 after the end of 30 minutes.

In one embodiment, after acquiring the monitoring period matching the current time, the method further includes:

S23. Determine whether the monitoring period is a busy time period, and if so, obtain a virtual IP address database, obtain the login success rate of each IP address in the virtual IP address database during the busy time period, and obtain the login success rate according to the login success rate. The IP addresses of the virtual IP address library are sorted at a rate, an IP library to be logged in is generated, a preset switching period is obtained, and the IP address switching is performed according to the order of the IP addresses in the IP library to be logged according to the preset switching period.

As described in the above embodiment, the preset switching period is 10 minutes,

Then the RPA system judges whether the current time is a busy time period, and if so, the RPA system obtains a virtual IP address library, and the virtual IP address library is used to replace the IP address when the account information is logged in, thereby avoiding due to Excessive login times with the same IP address lead to account banning, and then the RPA system obtains the login success rate of the IP address in the virtual IP address database within the busy time period, and assigns the login success rate based on the login success rate. The IP addresses in the virtual IP address library are reordered from high to low, thereby generating the IP library to be logged in, after which the RPA system cyclically switches the IP address according to the sequence of the IP addresses in the virtual IP address library every 10 minutes address, so that the IP address of the account information during automatic login can be periodically switched according to the success rate of the IP address, and the success rate of the account information during automatic login is improved.

In one embodiment, the step S2 specifically includes:

S24. Determine whether the login method is account and password login, and if so, acquire account and password information in the secret security information, and send a login request according to the account and password information.

As described in the above embodiment, the RPA system determines whether the login method of the peripheral system is account and password login. The information sends a login request, so that the RPA system logs in to the peripheral system through the account password information, so as to realize the automatic login and automatic connection of the account of the RPA system and the peripheral system.

In one embodiment, the step S2 further includes:

S25. Determine whether the login method is login credential login, and if so, acquire login credential information in the confidential information, and send a login request according to the login credential information.

As described in the above embodiment, the RPA system determines whether the login method of the peripheral system is login credential login; The information sends a login request, so that the RPA system logs in to the peripheral system through the account password information, so as to realize the automatic login and automatic connection of the account of the RPA system and the peripheral system.

In one embodiment, the step S2 further includes:

S26: Determine whether the login method is a verification code login, and if so, obtain a verification secret, generate a corresponding verification answer according to the verification secret, and send a login request according to the verification answer information.

As described in the above embodiment, the RPA system determines whether the login method of the peripheral system is a verification code login, and if so, the RPA system obtains the verification secret, and sends it to the background management according to the verification secret System, the staff of the background management system manually enters the verification answer according to the verification secret, and then the RPA system sends a login request according to the verification answer, so that the RPA system logs in to the peripheral through the account password information. system, so as to realize the automatic login and automatic connection of the accounts of the RPA system and the peripheral system.

It can be understood that the method for generating the verification answer can also be generated by automatically identifying the verification secret by an image algorithm, and the present application does not limit the method for generating the verification answer.

As described in the above embodiment, the specific application scenario of the present application is: the RPA system obtains the account information manually entered by the user and the corresponding login method of the peripheral system that needs to be logged in. At this time, the RPA system judges the peripheral system. If the login method is account and password login, the RPA system obtains the account and password information in the secret security information, and sends a login request according to the account and password information. At this time, the current time node is 10:00, then the RPA system Judging that the monitoring period from 9:00 to 11:00 corresponding to 10:00 is an idle time period, then the current monitoring period is an idle time period, and then the RPA system uses 10:00 as the time node to obtain the subsequent 30-minute time period as a prediction period, and the first 10 minutes of the forecast period are recorded as the calculation period, and the last 20 minutes of the forecast period are recorded as the monitoring period, after which the RPA system automatically sends the login request according to the number of times and the calculation period Construct a linear regression line equation for a period of time, and calculate a straight line fitting equation, and use the straight line fitting equation to calculate the predicted sending times of the login request, and obtain the specific value of the predicted sending times. Then, the predicted sending times are compared with the preset warning value matching the current idle time period, and after judging that the predicted sending times is less than the preset warning value, the RPA system uses the account according to the login request. The password information is used to log in to the corresponding peripheral system, so that the PRA system can automatically log in to the corresponding peripheral system and prevent the RPA system from crashing due to the excessive number of automatic sending of the login request, thereby ensuring the normal operation of the automatic login function of the RPA system. The automatic login efficiency of the RPA system, then the RPA system obtains the login status of the account information in real time, and determines whether the account information is in the login state in the corresponding peripheral system, if not, the RPA system will The account information is automatically re-login in the peripheral system, thereby realizing the function of maintaining the login state of the account information in the peripheral system without manually re-login to the disconnected system account.

Referring to FIG. 2 , the present application also provides an RPA-based automated login device, including a web management system module 1, an automated login module 2 and a login maintenance module 3;

The web management system module 1, the automatic login module 2 and the login maintenance module 3 are connected to each other;

3, 4 and 5, wherein, the web management system module 1 is provided with an information input unit 11, the automatic login module 2 is provided with a control unit 21 and a login unit 22, and the login maintenance module 3 is provided with a judgment unit 31 ;

The information entry unit 11 is used to obtain account information entered by the user, and the account information includes confidential information and a login method;

a control unit 21, configured to send a login request using the secret information according to the login method;

a login unit 22, configured to log in the account information according to the login request;

The judging unit 31 is configured to judge whether the account information is in a login state, and if not, log in the account information again.

The above modules are for executing the above RPA-based automatic login device, and will not be introduced one by one here.

Referring to FIG. 6 , the present application also provides a storage medium 100, which is a computer-readable storage medium on which a computer program 200 is stored. Automated login method.

7 , the present application also provides a computer device, which includes a processor 300, a memory, and a computer program stored on the memory and running on the processor 300. When the processor 400 executes the computer program 200, the above-mentioned implementation is realized. The RPA-based automated login method.

It can be seen from the above-mentioned embodiments that the greatest beneficial effect of the present application is that: after identifying the login method of the peripheral system, the security information is automatically matched to perform unified login, which realizes the system login without manually logging into the system accounts of each system. automatic, and automatically re-login the account information after recognizing that the system account is disconnected, realizes the need to manually re-login the disconnected system account, and solves the problem that the RPA product in the prior art In multi-system management, it is necessary to manually log in to the system account of each system, and when the system account is disconnected, it is necessary to manually re-login the system account, which improves the operating efficiency of the system.

Those skilled in the art can understand that the operation method of the smart device described in this application and the above-mentioned device for performing one or more of the methods described in this application. These devices may be specially designed and manufactured for the required purposes, or they may include those known in general purpose computers. These devices have computer programs or applications stored in them that are selectively activated or reconfigured. Such a computer program may be stored in a device (eg, computer) readable medium including, but not limited to, any type of medium suitable for storing electronic instructions and coupled to a bus, respectively Types of disks (including floppy disks, hard disks, CD-ROMs, CD-ROMs, and magneto-optical disks), ROM (Read-Only Memory, read-only memory), RAM (Random Access Memory, random access memory), EPROM (Erasable Programmable Read-Only Memory) , Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory, Electrically Erasable Programmable Read-Only Memory), flash memory, magnetic card or optical card. That is, a readable medium includes any medium that stores or transmits information in a form that can be read by a device (eg, a computer).

The above are only the preferred embodiments of the present application, and are not intended to limit the scope of the patent of the present application. Any equivalent structure or equivalent process transformation made by using the contents of the description and drawings of the present application, or directly or indirectly applied to other related The technical field is similarly included in the scope of patent protection of this application.

Claims (10)

1. a kind of automatic login method based on RPA, is characterized in that, comprises: Obtain the account information entered by the user, where the account information includes confidential information and login methods; Send a login request using the secret information according to the login method; log in to the account information according to the login request; It is judged whether the account information is in the login state, and if not, the account information is re-login. 2. The RPA-based automatic login method according to claim 1, wherein after the login request is sent according to the login method using the confidential information, the method further comprises: Get the monitoring period that matches the current time node; obtaining a preset warning value matching the monitoring period; Judging whether the monitoring period is an idle period, and if so, generating a forecast period with the current time node as the origin, and splitting the forecast period into a calculation period and a monitoring period, Using a linear regression equation to calculate the predicted number of times the login request is sent based on the calculation period and the monitoring period; Judging whether the predicted sending times is greater than and equal to the preset warning value; If so, send an alarm message. 3. The automatic login method based on RPA as claimed in claim 2, characterized in that, based on the calculation period and the monitoring period, the predicted sending times of the login request is calculated using a linear regression equation, specifically comprising: Obtain the number of times of sending the login request after the end of the calculation period, and record the number of times of sending the login request as the Y sequence value; Denote the calculation period as the X series value; Construct a linear regression line equation according to the X series value and the Y series value; Calculate the budget value of the Y series value after the monitoring period ends according to the linear regression equation; The budget value of the Y sequence value is recorded as the predicted number of transmissions. 4. the automatic login method based on RPA as claimed in claim 1, is characterized in that, after described obtaining the monitoring period that matches with current time, also comprises: judging whether the monitoring period is a busy time period; If so, obtain the virtual IP address library; Obtain the login success rate of each IP address in the virtual IP address database within the busy time period; Sorting the IP addresses of the virtual IP address library according to the login success rate to generate an IP library to be logged in; Get the preset switching period; According to the preset switching period, the IP address switching is performed according to the sequence of the IP addresses in the to-be-registered IP database. 5. The RPA-based automatic login method according to claim 1, wherein the sending a login request using the confidential information according to the login method comprises: Determine whether the login method is an account and password login; If so, obtain the account password information in the confidential information; Send a login request according to the account password information. 6. The RPA-based automatic login method according to claim 1, wherein the sending a login request by using the confidential information according to the login method further comprises: Determine whether the login method is login credential login; If so, obtain the login credential information in the confidential information; Send a login request according to the login credential information. 7. the automatic login method based on RPA as claimed in claim 1, is characterized in that, judges whether described login mode is verification code login; If so, obtain the verification password; Generate a corresponding verification answer according to the verification secret; Send a login request according to the verification answer information. 8. an automatic login device based on RPA, is characterized in that, comprises web management system module, automatic login module and login maintenance module; The web management system module, the automatic login module and the login maintenance module are connected to each other; Wherein, the web management system module is provided with an information input unit, the automatic login module is provided with a control unit and a login unit, and the login maintenance module is provided with a judgment unit; The information entry unit is used to obtain account information entered by the user, and the account information includes confidential information and a login method; The control unit is configured to use the secret information to send a login request according to the login method; The login unit is configured to log in the account information according to the login request; The judging unit is used for judging whether the account information is in a login state, and if not, re-login the account information. 9 . A storage medium, characterized in that it is a computer-readable storage medium on which a computer program is stored, and when the computer program is executed, the RPA-based RPA-based storage medium according to any one of claims 1 to 7 is implemented. Automated login method. 10. A computer device, characterized in that it comprises a processor, a memory, and a computer program stored on the memory and running on the processor, the processor implementing the computer program as claimed in the claim The RPA-based automated login method according to any one of requirements 1 to 7 is required.

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