CN114417275A - RPA-based automatic login method and device and storage medium - Google Patents
RPA-based automatic login method and device and storage medium Download PDFInfo
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- CN114417275A CN114417275A CN202111653414.0A CN202111653414A CN114417275A CN 114417275 A CN114417275 A CN 114417275A CN 202111653414 A CN202111653414 A CN 202111653414A CN 114417275 A CN114417275 A CN 114417275A
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- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
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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
Technical Field
The application relates to the field of artificial intelligence, in particular to an RPA-based automatic login method, an RPA-based automatic login device and a storage medium.
Background
With the continuous development of modern informatization technology, various industries in the society generate various products to meet the requirements. In order to meet personalized requirements of various industries, each software is different and complicated along with different services, a lot of operations are repeated and large in quantity, under the circumstance, in order to improve staff efficiency, an RPA product is generated, the existing RPA product can allow a user to automatically run a service process by compiling an automatic script, when the RPA product is required to be used across systems for automatic management, the corresponding system must be logged in manually, manual login needs to be carried out on system accounts of various systems when the user needs to carry out multi-system management through the RPA product, and the system accounts are manually re-logged in when the system accounts are disconnected, so that the running efficiency of the system is reduced.
Disclosure of Invention
The application aims to provide an RPA-based automatic login method, an RPA-based automatic login device and a storage medium, and aims to solve the problems that in the prior art, when an RPA product performs multi-system management, manual login needs to be performed on system accounts of various systems, and when a system account is disconnected, manual login needs to be performed on the system account again.
In order to achieve the purpose, the technical scheme adopted by the application is as follows:
the application provides an RPA-based automatic login method, which comprises the following steps:
acquiring account information input by a user, wherein the account information comprises secret information and a login mode;
sending a login request by using the secret information according to the login mode;
logging in the account information according to the login request;
and judging whether the account information is in a login state, and if not, re-logging in the account information.
Further, after sending the login request by using the secret information according to the login manner, the method further includes:
acquiring a monitoring time period matched with a current time node;
acquiring a preset early warning value matched with the monitoring time period;
judging whether the monitoring time interval is an idle time interval or not, if so, generating a prediction time interval by taking the current time node as an origin, splitting the prediction time interval into a calculation time interval and a monitoring time interval,
calculating the predicted sending times of the login request by using a linear regression linear equation based on the calculation time period and the monitoring time period;
judging whether the predicted sending times are greater than the preset early warning value or not;
if yes, alarm information is sent.
Further, the calculating the predicted sending times of the login request by using a linear regression linear equation based on the calculation time period and the monitoring time period specifically includes:
acquiring the sending times of the login request after the calculation time period is ended, and recording the sending times of the login request as a Y sequence value;
recording the calculation time interval as an X sequence value;
constructing a linear regression linear equation according to the X sequence value and the Y sequence value;
calculating a pre-calculated value of the Y sequence value after the monitoring time period is ended according to the linear regression linear equation;
and recording the precalculated value of the Y sequence value as the predicted sending times.
Further, after the obtaining of the monitoring period matched with the current time, the method further includes:
judging whether the monitoring time interval is a busy time interval or not;
if yes, acquiring a virtual IP address library;
acquiring the login success rate of each IP address in the virtual IP address library in the busy hour period;
sorting the IP addresses of the virtual IP address base according to the login success rate to generate an IP base to be logged in;
acquiring a preset switching period;
and switching the IP addresses according to the preset switching period and the sequence of the IP addresses in the IP library to be logged in.
Further, the sending a login request by using the secret information according to the login mode includes:
judging whether the login mode is account password login;
if yes, acquiring account password information in the secret information;
and sending a login request according to the account password information.
Further, the sending a login request by using the secret information according to the login mode further includes:
judging whether the login mode is login credential login;
if yes, login credential information in the secret information is obtained;
and sending a login request according to the login credential information.
Further, whether the login mode is verification code login is judged;
if so, acquiring a verification secret;
generating a corresponding verification answer according to the verification secret code;
and sending a login request according to the verification answer information.
The application also provides an RPA-based automatic login device, which comprises a web management system module, an automatic login module and a login maintaining module;
the web management system module, the automatic login module and the login maintaining module are connected with each other;
the system comprises a web management system module, an automatic login module, a control unit, a login maintaining module and a judging unit, wherein the web management system module is internally provided with an information input unit, the automatic login module is internally provided with the control unit and the login unit, and the login maintaining module is internally provided with the judging unit;
the information input unit is used for acquiring account information input by a user, and the account information contains secret information and a login mode;
the control unit is used for sending a login request by using the secret information according to the login mode;
the login unit is used for logging 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, the account information is logged in again.
The present application also provides a storage medium, which is a computer-readable storage medium, on which a computer program is stored, which, when executed, implements the RPA-based automated login method as described in any one of the above.
The present application also provides a computer device comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the RPA-based automated login method as described above.
The beneficial effect of this application: according to the method and the device, the secret information is automatically matched to carry out unified login after the login mode of the peripheral system is identified, the system accounts of all the systems do not need to be logged in a manual mode, the automation of system login is realized, the account information is automatically logged in again after the system accounts are identified to be disconnected, the problem that the system accounts need not to be logged in again in a manual mode when the disconnected system accounts are solved, manual login of the system accounts of all the systems is needed when the RPA product is subjected to multi-system management in the prior art, the problem that the system accounts need to be manually logged in again when the system accounts are disconnected is solved, and the operation efficiency of the system is improved.
Drawings
FIG. 1 is a flowchart of a method of an RPA-based automated login method of the present application;
FIG. 2 is a schematic structural diagram of an RPA-based automatic login device according to the present application;
FIG. 3 is a schematic structural diagram of a web management system module according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of an automated log-in module according to an embodiment of the present disclosure;
FIG. 5 is a block diagram of a login maintenance module according to an embodiment of the present application;
FIG. 6 is a block diagram of an embodiment of a storage medium according to the present application;
FIG. 7 is a block diagram of an embodiment of a computer device of the present application;
the number designations in the figures are: the system comprises a web management system module, a 2-automatic login module, a 3-login maintenance module, an 11-information entry unit, a 21-control unit, a 22-login unit and a 31-judgment unit.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do 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 combinations of one or more of the associated listed items.
Referring to fig. 1, the present application provides an RPA-based automated login method, including:
s1, acquiring account information input by a user, wherein the account information comprises secret information and a login mode;
s2, sending a login request by using the secret information according to the login mode;
s3, logging in the account information according to the login request;
and S4, judging whether the account information is in a login state, and if not, re-logging the account information.
As described in the step S1, the RPA system obtains account information manually entered by a user, where the account information is used to log in various peripheral systems that the user needs to log in and monitor through the RPA system, and the account information includes secret information used to log in the system and login manners matched with the secret information, where the secret information corresponds to the login manners one to one.
As described in the step S2, the RPA system obtains a corresponding login manner of the system that needs to be logged in, such as password login, secret password login, or verification code login, and then the RPA system obtains secret information matched with the login manner to send, such as login password, login secret password, and login verification code, so as to implement the function of sending a login request;
it can be understood that the login manner is not limited to password login, secret password login or verification code login, and the secret information matched with the login manner is not limited to login password, secret password login or verification code login, which is not limited in this application.
As described in step S3, the RPA system logs in the corresponding peripheral system according to the secret information and the login manner, thereby implementing the function of the PRA system automatically logging in the corresponding peripheral system.
As described in step S4, the RPA system obtains the login status of the account information in real time, and determines whether the account information is in a login state in a corresponding peripheral system, and if not, the RPA system automatically re-logs in the account information in the peripheral system, thereby maintaining the login state of the account information in the peripheral system without performing a secondary login function on a disconnected system account in a manual manner.
According to the method, the secret information is automatically matched for unified login after the login mode of the peripheral system is identified, the system accounts of all the systems do not need to be manually logged in, the automation of system login is realized, the account information is automatically re-logged in after the system accounts are identified to be disconnected, the secondary login of the disconnected system accounts is not needed, the problem that in the prior art, when the RPA product is subjected to multi-system management, manual login of the system accounts of all the systems is needed, and the system accounts need to be manually re-logged in when the system accounts are disconnected is solved, and the operation efficiency of the system is improved.
In an embodiment, after the step S2, the method further includes:
s21, obtaining a monitoring time period matched with a current time node, obtaining a preset early warning value matched with the monitoring time period, judging whether the monitoring time period is an idle time period or not, if so, obtaining a prediction time period by taking the current time node as an original point, dividing the prediction time period into a calculation time period and a monitoring time period, calculating the prediction sending times of the login request by using a linear regression linear equation based on the calculation time period and the monitoring time period, judging whether the prediction sending times are greater than the preset early warning value or not, and if so, sending alarm information.
As described in the foregoing embodiment, the monitoring periods include an idle period and a busy period, the RPA system executes different account information operation instructions according to the distinction of the monitoring periods, acquires the current time and acquires a monitoring period matching the current time according to the current time, and then the RPA system determines whether the monitoring period is an idle period, if so, the RPA system generates a prediction period with a current time node as an origin, where the prediction period is used to predict the number of subsequent transmissions of the login request according to the number of transmissions of the login request in the prediction period,
the RPA system then splits the monitoring period into the calculation period and the monitoring period, and calculates the predicted number of times of transmission of the login request using a linear regression linear equation according to the calculation period and the monitoring period, and judging whether the predicted sending times are greater than the preset early warning value or not, if so, sending alarm information to a background system, thereby reminding the staff of the background system that the sending times of the login request which is automatically sent at present are excessive and carrying out corresponding adjustment, therefore, the PRA system can adjust the automatic sending times of the login request according to the current time period, avoid the RPA system from being crashed due to the excessive automatic sending times of the login request or the system being attacked maliciously, therefore, the automatic login function of the RPA system is ensured to normally operate, and the automatic login efficiency of the RPA system is improved.
It can be understood that the duration of the prediction time period and the warning value of the preset warning value can be set by a user, which is not limited in the present application.
In a specific application scenario of this embodiment, if a current time node is 10 points, a monitoring period from 9 points to 11 points corresponding to 10 points is an idle period, the RPA system determines that the monitoring period is an idle period, then the RPA system obtains a subsequent 30-minute time period as a prediction period by using 10 points as time nodes, then the RPA system records the first 10 minutes of the prediction period as a calculation period, records the last 20 minutes of the prediction period as a monitoring period, and then constructs a linear regression linear equation according to the number of automatic transmissions of the login request and the calculation period, so as to obtain a linear fitting equation, thereby calculating the number of predicted transmissions, and determining whether the number of predicted transmissions is greater than or equal to the preset warning value, if yes, sending warning information to a background system
In an actual application scenario of the present application, the RPA system estimates the predicted transmission frequency after 30 minutes by using a linear regression linear equation, and it can be understood that the estimation manner of the predicted transmission frequency may be estimation by combining an estimation model or calculation by using a TREND function, which is not limited in the present application.
S22, obtaining the sending times of the login request after the calculation time period is finished, recording the sending times of the login request as a Y sequence value, recording the calculation time period as an X sequence value, constructing a linear regression linear equation according to the X sequence value and the Y sequence value, calculating the pre-calculated value of the Y sequence value after the monitoring time period is finished according to the linear regression linear equation, and recording the pre-calculated value of the Y sequence value as the predicted sending times.
As described in the above examples, the prediction period is 30 minutes, the calculation period is 0 to 10 minutes (y.ltoreq.10), and the monitoring period is 20 to 30 minutes (20 < y.ltoreq.30);
the RPA system acquires the sending times of the automatically sent login requests after the calculation time period is over (namely Y is less than or equal to 10), then a linear regression linear equation is constructed according to the sending times of the automatically sent login requests and the calculation time period (Y is less than or equal to 10) so as to obtain a linear fitting equation, then the linear fitting equation is used for calculating the pre-calculated value of the Y sequence value after the monitoring time period (20 < Y is less than or equal to 30) is over, and the pre-calculated value of the Y sequence value is recorded as the predicted sending times of the login requests, so that the RPA system estimates that the login request times sent by the system through an automatic login function after 30 minutes are the pre-calculated value of the Y sequence value.
In a specific application scenario of the present application, the RPA system acquires that the number of times of automatic transmission of the login request is 20 times after 10 minutes of the current time node, then constructs a linear regression line equation according to the number of times of automatic transmission of the login request (Y-sequence value is 50) and the calculation period (X-sequence value is less than 10), and then uses the linear regression line equation to calculate that the pre-calculated value of the Y-sequence value is 140 after the monitoring period ends, and then the RPA system estimates that the number of times of automatic transmission of the login request transmitted by the system through the automatic login function after 30 minutes ends is 140.
In an embodiment, after the obtaining of the monitoring period matching the current time, the method further includes:
s23, judging whether the monitoring time interval is a busy hour time interval, if so, acquiring a virtual IP address library, acquiring the login success rate of each IP address in the virtual IP address library in the busy hour time interval, sequencing the IP addresses of the virtual IP address library according to the login success rate, generating an IP library to be logged in, acquiring a preset switching cycle, and switching the IP addresses according to the preset switching cycle and the sequence of the IP addresses in the IP library to be logged in.
As in the previous embodiment, the predetermined switching period is 10 minutes,
the RPA system judges whether the current time is a busy hour period, if so, the RPA system acquires a virtual IP address base which is used for replacing the IP address when the account information logs in, thereby avoiding the login success rate of the IP address in the virtual IP address base in the busy hour period acquired by the RPA system after the account number is forbidden due to excessive login times of the same IP address, and the IP addresses in the virtual IP address base are reordered from high to low according to the login success rate, thereby generating an IP library to be logged in, then the RPA system circularly switches the IP addresses according to the sequence of the IP addresses in the virtual IP address library every 10 minutes, therefore, 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 an embodiment, the step S2 specifically includes:
and S24, judging whether the login mode is account password login, if so, acquiring account password information in the secret information, and sending a login request according to the account password information.
As described in the above embodiment, the RPA system determines whether the login manner of the peripheral system is account password login, and if so, the RPA system obtains account password information in the secret information and sends a login request according to the account password information, so that the RPA system logs in the peripheral system through the account password information, thereby implementing account automatic login and automatic connection between the RPA system and the peripheral system.
In one embodiment, the step S2 further includes:
s25, judging whether the login mode is login credential login, if so, acquiring login credential information in the secret information, and sending a login request according to the login credential information.
As described in the above embodiment, the RPA system determines whether the login manner of the peripheral system is login credential login, and if so, the RPA system obtains login credential information in the secret information and sends a login request according to the login credential information, so that the RPA system logs in the peripheral system through the account password information, thereby implementing account automatic login and automatic connection between the RPA system and the peripheral system.
In one embodiment, the step S2 further includes:
s26, judging whether the login mode is verification code login, if so, acquiring verification secret, generating a corresponding verification answer according to the verification secret, and sending a login request according to the verification answer information.
As described in the above embodiment, the RPA system determines whether the login manner of the peripheral system is a verification code login, if so, the RPA system obtains the verification secret password and sends the verification secret password to a background management system according to the verification secret password, a worker of the background management system manually inputs a verification answer according to the verification secret password, and then the RPA system sends a login request according to the verification answer, so that the RPA system logs in the peripheral system through the account password information, thereby implementing account automatic login and automatic connection between the RPA system and the peripheral system.
It is understood that the generation method of the verification answer may also be a method for automatically identifying the generation of the verification secret for the image algorithm, and the generation method of the verification answer is not limited in this application.
As described in the foregoing embodiment, the specific application scenarios of the present application are as follows: an RPA system acquires account information manually input by a user and a corresponding login mode of a peripheral system needing to be logged in, at the moment, the RPA system judges that the login mode of the peripheral system is account password login, the RPA system acquires the account password information in the confidential information and sends a login request according to the account password information, at the moment, a current time node is 10 points, the RPA system judges that a monitoring period from 9 points to 11 points corresponding to 10 points is a free time period, the current monitoring period is the free time period, then the RPA system acquires a subsequent 30-minute period as a prediction period by taking the 10 points as time nodes, records the first 10 minutes of the prediction period as a calculation period and the last 20 minutes of the prediction period as the monitoring period, and then the RPA system constructs a linear regression linear equation according to the automatic sending times of the login request and the calculation period, calculating a straight line fitting equation, calculating the predicted sending times of the login request by using the straight line fitting equation, comparing the predicted sending times with a preset early warning value matched with the current idle time period after obtaining a specific value of the predicted sending times, and judging that the predicted sending times are smaller than the preset early warning value, logging in a corresponding peripheral system by using account password information by using the RPA system according to the login request, so that the PRA system automatically logs in the corresponding peripheral system and simultaneously prevents the RPA system from being crashed due to excessive automatic sending times of the login request, thereby ensuring the normal operation of the automatic login function of the RPA system and improving the automatic login efficiency of the RPA system, and then the RPA system acquires the login condition of the account information in real time and judges whether the account information is in a login state in the corresponding peripheral system or not, if not, the RPA system automatically re-logs in the account information in the peripheral system, so that the login state of the account information in the peripheral system is maintained, and the function of performing secondary login on the disconnected system account in a manual mode is not needed.
Referring to fig. 2, the present application further provides an RPA-based automated login apparatus, which includes 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 with each other;
referring to fig. 3, 4 and 5, 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 determination unit 31;
the information input unit 11 is configured to acquire account information input by a user, where the account information includes secret information and a login manner;
the control unit 21 is configured to send a login request by using the secret information according to the login manner;
a login unit 22, configured to log in the account information according to the login request;
the determining unit 31 is configured to determine whether the account information is in a login state, and if not, re-login the account information.
The modules are not described in detail herein, and are used to execute the RPA-based automated login apparatus.
Referring to fig. 6, the present application further provides a storage medium 100, which is a computer-readable storage medium having stored thereon a computer program 200, which when executed implements the RPA-based automated login method as described in any one of the above.
Referring to fig. 7, the present application also provides a computer device comprising a processor 300, a memory and a computer program stored on the memory and executable on the processor 300, wherein the processor 400 implements the RPA-based automated login method as described above when executing the computer program 200.
By combining the above embodiments, the application has the following greatest beneficial effects: the automatic matching of the secret information after the login mode of the peripheral system is identified is used for performing unified login, the system accounts of all the systems do not need to be logged in manually, the automation of system login is realized, the account information is automatically re-logged in after the system accounts are identified to be disconnected, the problem that the disconnected system accounts do not need to be logged in secondarily manually in the prior art is solved, the problems that in the prior art, when the RPA product is subjected to multi-system management, manual login needs to be performed on the system accounts of all the systems, and the system accounts need to be manually re-logged in when the system accounts are disconnected are solved, and the operation efficiency of the system is improved.
Those skilled in the art will appreciate the methods of operation of the smart devices described herein and the devices referred to above for performing one or more of the methods described herein. These devices may be specially designed and manufactured for the required purposes, or they may comprise known devices in general-purpose computers. These devices have stored therein computer programs or applications that are selectively activated or reconfigured. Such a computer program may be stored in a device (e.g., computer) readable medium, including, but not limited to, any type of disk including floppy disks, hard disks, optical disks, CD-ROMs, and magnetic-optical disks, ROMs (Read-Only memories), RAMs (Random Access memories), EPROMs (Erasable Programmable Read-Only memories), EEPROMs (Electrically Erasable Programmable Read-Only memories), flash memories, magnetic cards, or optical cards, or any type of media suitable for storing electronic instructions, and each coupled to a bus. That is, a readable medium includes any medium that stores or transmits information in a form readable by a device (e.g., a computer).
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. An RPA-based automatic login method is characterized by comprising the following steps:
acquiring account information input by a user, wherein the account information comprises secret information and a login mode;
sending a login request by using the secret information according to the login mode;
logging in the account information according to the login request;
and judging whether the account information is in a login state, and if not, re-logging in the account information.
2. The RPA-based automated login method according to claim 1, wherein after sending a login request using the secret information according to the login manner, further comprising:
acquiring a monitoring time period matched with a current time node;
acquiring a preset early warning value matched with the monitoring time period;
judging whether the monitoring time interval is an idle time interval or not, if so, generating a prediction time interval by taking the current time node as an origin, splitting the prediction time interval into a calculation time interval and a monitoring time interval,
calculating the predicted sending times of the login request by using a linear regression linear equation based on the calculation time period and the monitoring time period;
judging whether the predicted sending times are greater than the preset early warning value or not;
if yes, alarm information is sent.
3. The RPA-based automated login method according to claim 2, wherein the calculating the predicted number of sending times of the login request based on the calculation period and the monitoring period using a linear regression line equation specifically comprises:
acquiring the sending times of the login request after the calculation time period is ended, and recording the sending times of the login request as a Y sequence value;
recording the calculation time interval as an X sequence value;
constructing a linear regression linear equation according to the X sequence value and the Y sequence value;
calculating a pre-calculated value of the Y sequence value after the monitoring time period is ended according to the linear regression linear equation;
and recording the precalculated value of the Y sequence value as the predicted sending times.
4. The RPA-based automated login method according to claim 1, wherein after said obtaining a monitoring period matching a current time, further comprising:
judging whether the monitoring time interval is a busy time interval or not;
if yes, acquiring a virtual IP address library;
acquiring the login success rate of each IP address in the virtual IP address library in the busy hour period;
sorting the IP addresses of the virtual IP address base according to the login success rate to generate an IP base to be logged in;
acquiring a preset switching period;
and switching the IP addresses according to the preset switching period and the sequence of the IP addresses in the IP library to be logged in.
5. The RPA-based automated login method according to claim 1, wherein said sending a login request using said secret information according to said login manner comprises:
judging whether the login mode is account password login;
if yes, acquiring account password information in the secret information;
and sending a login request according to the account password information.
6. The RPA-based automated login method according to claim 1, wherein said sending a login request using said secret information according to said login manner further comprises:
judging whether the login mode is login credential login;
if yes, login credential information in the secret information is obtained;
and sending a login request according to the login credential information.
7. The RPA-based automated login method according to claim 1, wherein determining whether the login method is a passcode login;
if so, acquiring a verification secret;
generating a corresponding verification answer according to the verification secret code;
and sending a login request according to the verification answer information.
8. An automatic login device based on RPA is characterized by comprising a web management system module, an automatic login module and a login maintaining module;
the web management system module, the automatic login module and the login maintaining module are connected with each other;
the system comprises a web management system module, an automatic login module, a control unit, a login maintaining module and a judging unit, wherein the web management system module is internally provided with an information input unit, the automatic login module is internally provided with the control unit and the login unit, and the login maintaining module is internally provided with the judging unit;
the information input unit is used for acquiring account information input by a user, and the account information contains secret information and a login mode;
the control unit is used for sending a login request by using the secret information according to the login mode;
the login unit is used for logging 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, the account information is logged in again.
9. A storage medium, characterized in that it is a computer-readable storage medium, on which a computer program is stored, which when executed implements the RPA-based automated login method according to any one of claims 1 to 7.
10. A computer device comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, the processor implementing the RPA-based automated login method as claimed in any one of claims 1 to 7 when executing the computer program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111653414.0A CN114417275A (en) | 2021-12-30 | 2021-12-30 | RPA-based automatic login method and device and storage medium |
Applications Claiming Priority (1)
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| CN115688759A (en) * | 2022-11-07 | 2023-02-03 | 北京北明数科信息技术有限公司 | Method, system, computer equipment and medium for classifying reported information |
| CN115688759B (en) * | 2022-11-07 | 2023-11-07 | 北京北明数科信息技术有限公司 | Method, system, computer equipment and medium for classifying reported information |
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