CN112231663A

CN112231663A - Data acquisition method, device, equipment and storage medium combining RPA and AI

Info

Publication number: CN112231663A
Application number: CN202011128542.9A
Authority: CN
Inventors: 陈默; 蔡炫; 蒋子龙; 罗亮; 褚瑞; 李玮; 胡一川; 汪冠春
Original assignee: Beijing Benying Network Technology Co Ltd; Beijing Laiye Network Technology Co Ltd
Current assignee: Beijing Benying Network Technology Co Ltd; Beijing Laiye Network Technology Co Ltd
Priority date: 2020-03-31
Filing date: 2020-10-20
Publication date: 2021-01-15

Abstract

The embodiment of the application discloses a data acquisition method, a data acquisition device, data acquisition equipment and a storage medium which are combined with RPA and AI. The method is applied to an RPA execution end, the RPA execution end provides a user graphical interface based on Natural Language Processing (NLP), and the data acquisition method comprises the following steps: acquiring a starting parameter of an acquisition process; acquiring login information and acquisition parameters corresponding to acquisition process starting parameters; and logging based on the login information, acquiring data according to the acquisition parameters, and sending the data to the receiving end. Therefore, the technical problems of high data acquisition cost and low acquisition efficiency are solved, data are automatically acquired according to acquisition parameters, and the data acquisition efficiency is improved.

Description

Data acquisition method, device, equipment and storage medium combining RPA and AI

Technical Field

The present application relates to the field of computer technologies, and in particular, to a data collection method, apparatus, device, and storage medium that combine RPA (robot Process Automation) and AI (artificial intelligence).

Background

Robot Process Automation (RPA) simulates the operation of a human on a computer through specific robot software and automatically executes Process tasks according to rules.

Artificial intelligence (Artificia lnternagence), abbreviated in english as AI. The method is a new technical science for researching and developing theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence, a field of research that includes robotics, speech recognition, image recognition, natural language processing, and expert systems.

Generally, chain stocks limited company needs to collect, report and manage data such as transaction flow of third party payment accounts of stores in regions governed by different regional companies.

In the related art, data collection is usually performed by manually going to each store and a corresponding client, which is high in cost and low in collection efficiency.

Disclosure of Invention

The embodiment of the application discloses a data acquisition method, a data acquisition device, data acquisition equipment and a storage medium which are combined with RPA and AI, solves the technical problems of high data acquisition cost and low data acquisition efficiency in the prior art, and realizes automatic data acquisition according to acquisition parameters and improvement of data acquisition efficiency.

In a first aspect, an embodiment of the present application discloses a data acquisition method combining an RPA and an AI, which is applied to an RPA execution end, where the RPA execution end provides a graphical user interface based on Natural Language Processing (NLP), and the method includes:

acquiring a starting parameter of an acquisition process; acquiring login information and acquisition parameters corresponding to the acquisition process starting parameters;

logging in based on the login information, acquiring data on the user graphical interface according to the acquisition parameters, and sending the data to a receiving end.

Optionally, before the logging in based on the login information, the method further includes: acquiring verification code information; and recognizing the verification code information by calling a preset self-made word bank and an optical character Recognition algorithm (OCR).

Optionally, if the execution of the collection task fails, the data collection failure information is sent to the RPA process end or the RPA control end for process reconstruction.

Optionally, if the acquisition parameter does not acquire data, acquiring an updated acquisition parameter; and acquiring data according to the updated acquisition parameters, and sending the data to a receiving end.

Optionally, the acquiring data according to the acquisition parameter on the gui includes: determining a first interface element position of a first page of the user graphical interface, and executing clicking operation of the interface element; executing filling operation of the acquisition parameters at a second interface element position of a second page of the user graphical interface; data is collected based on a third page of the graphical user interface.

Optionally, logging in based on the login information includes: determining a login path in the login information; determining an acquisition end corresponding to the login path, and opening the acquisition end; and executing login operation of the account and the password in the login information on a login page of the acquisition end.

Optionally, the acquiring the process starting parameter includes: one or more of store number, payment category, and task identification.

In a second aspect, an embodiment of the present application provides a data acquisition device for combining an RPA and an AI, which is applied to an RPA execution end, where the RPA execution end provides an NLP-based user graphical interface, and the device includes:

the first acquisition module is used for acquiring acquisition process starting parameters;

the second acquisition module is used for acquiring login information and acquisition parameters corresponding to the acquisition process starting parameters;

the login module is used for logging in based on the login information;

and the acquisition and transmission module is used for acquiring data on the user graphical interface according to the acquisition parameters and transmitting the data to a receiving end.

Optionally, the apparatus further includes: the third acquisition module is used for acquiring verification code information; and the identification module is used for identifying the verification code information by calling a preset self-made word stock and an optical character identification algorithm.

Optionally, the apparatus further includes: and the first sending module is used for sending the data acquisition failure information to the RPA process end or the RPA control end for process reconstruction if the acquisition task fails to be executed.

Optionally, the apparatus further includes: the fourth acquisition module is used for acquiring the updated acquisition parameters if the acquisition parameters do not acquire data; and the second sending module is used for collecting data according to the updated collection parameters and sending the data to a receiving end.

Optionally, the login module is specifically configured to: determining a login path in the login information; determining an acquisition end corresponding to the login path, and opening the acquisition end; and executing login operation of the account and the password in the login information on a login page of the acquisition end.

Optionally, the collecting and sending module is specifically configured to: determining a first interface element position of a first page of the user graphical interface, and executing clicking operation of the interface element; executing filling operation of the acquisition parameters at a second interface element position of a second page of the user graphical interface; and acquiring data based on a third page of the user graphical interface, and sending the data to a receiving end.

Optionally, acquiring a process starting parameter includes: one or more of store number, payment category, and task identification.

In order to achieve the above object, an embodiment of a third aspect of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the data acquisition method combining RPA and AI as described in the above embodiment is implemented.

In order to achieve the above object, a fourth aspect of the present application provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the data acquisition method combining RPA and AI as described in the above embodiments.

The technical scheme provided by the embodiment of the application at least has the following beneficial technical effects:

acquiring a starting parameter of an acquisition process; acquiring login information and acquisition parameters corresponding to acquisition process starting parameters; and logging in based on the login information, acquiring data on a user graphical interface according to the acquisition parameters, and sending the data to a receiving end. Therefore, the technical problems of high data acquisition cost and low acquisition efficiency are solved, data are automatically acquired according to acquisition parameters, and the data acquisition efficiency is improved.

Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

Fig. 1 is a schematic flowchart of a data acquisition method combining an RPA and an AI according to an embodiment of the present disclosure;

fig. 2 is a schematic flowchart of another data acquisition method combining an RPA and an AI according to an embodiment of the present disclosure;

fig. 3 is an exemplary diagram of a data collection method combining RPA and AI according to an embodiment of the present disclosure;

fig. 4 is an exemplary diagram of another data collection method combining RPA and AI according to an embodiment of the present disclosure;

fig. 5 is a schematic structural diagram of a data acquisition device combining an RPA and an AI according to an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of another data acquisition device combining an RPA and an AI according to an embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of another data acquisition device combining an RPA and an AI according to an embodiment of the present disclosure;

fig. 8 is a schematic structural diagram of another data acquisition device combining an RPA and an AI according to an embodiment of the present application;

fig. 9 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It is to be noted that the terms "comprises" and "comprising" and any variations thereof in the examples and figures of the present application 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.

Aiming at the technical problems that the data acquisition is usually carried out manually, the cost is high and the acquisition efficiency is low in the background technology, the data acquisition efficiency is improved by automatically acquiring the acquisition parameters.

Specifically, the method is applied to an RPA (robot flow automation) execution end, the RPA execution end can passively receive flow tasks, then execute the tasks, wait for receiving the next flow task after the execution is finished, continue to execute, acquire data and report the data to a receiving end, and the automatic collection and report processes of the data are realized.

Fig. 1 is a schematic flow chart of a data acquisition method combining an RPA and an AI according to an embodiment of the present disclosure.

The data acquisition method combining the RPA and the AI is applied to the RPA execution end, the RPA execution end provides a user graphical interface based on Natural Language Processing (NLP), and the user graphical interface based on the NLP adopts an NLP technology to extract information in the data acquisition process so as to acquire data and send the data to a receiving end.

As shown in fig. 1, the data acquisition method includes the following steps:

step 101, acquiring acquisition process starting parameters.

In practical application, stores for acquiring data and acquisition ends such as clients or payment platforms in the stores can be determined as required, it can be understood that one or more stores may be provided, the acquisition ends in one store may be all acquisition objects or may be part of devices as acquisition objects, and the selection and setting may be performed according to practical application requirements.

Wherein, different collection end corresponds different RPA flows to the collection flow that collection end corresponds starts the parameter and also differs, gathers flow start parameter, includes: one or more of store number, payment category, and task identification.

For example, there are multiple stores under one area, there are multiple collection terminals under one store, for example, there are 3 stores under a area a, and there are 2 collection terminals used in the whole area, i.e., there are 2 RPA processes (1 area x 2 collection terminals, i.e., two RPA processes are compiled, where an RPA process is not directly bound to a store); assuming that the 2 RPA flows are a001 and a002, when an OpenAPI (open platform) dynamic creation task is called, RPA flows can be created according to the number of stores, that is, 6 RPA flows including a001+1 store, a001+2 store, a001+3 store, a002+1 store, a002+2 store and a002+3 store are executed in the form of stores, and each RPA flow is only executed for collecting summary data of a certain store and reporting the flow.

And 102, acquiring login information and acquisition parameters corresponding to the acquisition process starting parameters.

Specifically, in order to ensure the security of data, the RPA execution terminals in different stores all have corresponding login accounts and passwords, and can acquire data on different acquisition terminals according to acquisition parameters as required, so that login information and acquisition parameters can be acquired from a preset platform server according to acquisition process starting parameters.

The login information may be one or more of a login path, an account, a password, a mobile phone number, and the like, different login paths correspond to different acquisition terminals, and different acquisition parameters are set according to actual application needs to acquire different data, such as data acquired, which may be data of a category, a reimbursement ratio, a drug type, and the like.

And 103, logging in based on the login information, acquiring data on the graphical user interface according to the acquisition parameters, and sending the data to a receiving end.

Specifically, the security of the acquired data is ensured, the login information needs to be verified, different login information corresponds to different verification modes, as a possible implementation mode, a login path in the login information is determined, an acquisition end corresponding to the login path is determined, the acquisition end is opened, and the login operation of an account and a password in the login information is executed on a login page of the acquisition end.

Further, after logging in based on the login information, there are many ways to collect data according to the collection parameters, which are illustrated as follows:

the first example is that a first interface element position of a first page of a user graphical interface is determined, clicking operation of the interface element is executed, filling operation of acquisition parameters is executed at a second interface element position of a second page of the user graphical interface, and data are acquired based on a third page of the user graphical interface.

In the second example, the acquisition parameters are input at the target position, and the target page is jumped to acquire data.

In summary, the data acquisition method combining the RPA and the AI according to the embodiment of the present application starts parameters by acquiring an acquisition flow; acquiring login information and acquisition parameters corresponding to acquisition process starting parameters; and logging based on the login information, acquiring data according to the acquisition parameters, and sending the data to the receiving end. Therefore, the technical problems of high data acquisition cost and low acquisition efficiency are solved, data are automatically acquired according to acquisition parameters, and the data acquisition efficiency is improved.

Fig. 2 is a schematic flow chart of another data acquisition method combining an RPA and an AI according to an embodiment of the present disclosure.

As shown in fig. 2, the data acquisition method includes the following steps:

step 201, acquiring acquisition process starting parameters.

Step 202, obtaining login information and acquisition parameters corresponding to the acquisition process starting parameters.

It should be noted that step 201 and step 202 are the same as steps 101 to 102, and are not described in detail here, specifically referring to the description of steps 101 to 102.

And step 203, acquiring the verification code information, and recognizing the verification code information by calling a preset self-made word bank and an optical character recognition algorithm.

Specifically, identifying code information is obtained, and the identifying code information is identified by calling a preset self-made word library. The verification code information can be one or more of images (without interference lines), numbers (with small changes), numbers and letters (without complex images and characters), the verification code identification can be achieved by capturing a plurality of images and establishing a local graphic library, more specifically, after the images are captured, the images are identified through an optical character Recognition technology (OCR) to obtain a text format corresponding to the verification code information, and further, matching is performed by calling a preset self-made font library to determine whether the verification information is correct.

And 204, determining a login path in the login information, determining an acquisition end corresponding to the login path, opening the acquisition end, and executing login operation of an account and a password in the login information on a login page of the acquisition end.

Specifically, different login paths correspond to different acquisition ends, a target acquisition end is determined according to the login paths, so that the acquisition end is opened, and login operation of an account and a password is performed on a login page of the acquisition end to perform login.

Step 205, determining a first interface element position of a first page of the user graphical interface, executing a click operation of the interface element, executing a filling operation of the acquisition parameter at a second interface element position of a second page of the user graphical interface, acquiring data based on a third page of the user graphical interface, and sending the data to the receiving end.

Specifically, a page after logging in a graphical user interface is a first page, a first interface element position of the first page is determined, for example, the first interface element position such as a picture and a button of the first page is determined, the interface element is clicked to realize page jump to a second page, a second interface element position of the second page is determined, that is, a filling position corresponding to each acquisition parameter is determined, the filling operation of the acquisition parameters is executed to jump to a third page, data is acquired based on the third page, and the data is sent to a receiving end.

And step 206, if the acquisition task fails to be executed, sending data acquisition failure information to the RPA process end or the RPA control end for process reconstruction.

Specifically, if the execution of the collection task fails, the data collection failure information is sent to the RPA process end or the RPA control end for process reconstruction, that is, the RPA process end or the RPA control end creates the RPA process again and sends the RPA process to the RPA execution end to execute the collection process again, so that the success rate of data collection is further improved.

And step 207, if the acquisition parameters do not acquire the data, acquiring updated acquisition parameters, acquiring the data according to the updated acquisition parameters, and sending the data to a receiving end.

Specifically, data cannot be acquired according to the acquisition parameters, the acquisition parameters can be updated as required to acquire corresponding data and send the data to the receiving end, for example, in a data acquisition scene, the acquisition parameters include acquisition reimbursement drug category parameters, and the acquisition parameters can be updated to the acquisition reimbursement parameters for reacquisition if relevant data cannot be acquired according to the acquisition reimbursement drug category parameters.

In summary, the data acquisition method combining the RPA and the AI according to the embodiment of the present application starts parameters by acquiring an acquisition flow; acquiring login information and acquisition parameters corresponding to acquisition process starting parameters; acquiring verification code information, identifying the verification code information by calling a preset self-made word stock, determining a login path in the login information, determining an acquisition end corresponding to the login path, opening the acquisition end, executing login operation of an account number and a password in the login information on a login page of the acquisition end, determining a first interface element position of a first page, executing click operation of the interface element, executing filling operation of acquisition parameters on a second interface element position of a second page, acquiring data based on a third page, sending the data to a receiving end, sending data acquisition failure information to an RPA process end or an RPA control end for process reconstruction if an acquisition task fails, acquiring updated acquisition parameters if the acquisition parameters do not acquire the data, acquiring the data according to the updated acquisition parameters, and sending the data to the receiving end. Therefore, the technical problems of high data acquisition cost and low acquisition efficiency are solved, data are automatically acquired according to acquisition parameters, and the data acquisition efficiency is improved.

In order to make it more clear for those skilled in the art how to perform data acquisition, the following description is given by taking the acquisition end as the client, in conjunction with fig. 3 and fig. 4.

Specifically, as shown in fig. 3, (1) the "environment initialization" block ends the corresponding client program once before running; (2) the 'initialization' flow block takes out relevant store information (store codes, client codes and the like) of a preset data queue, then calls a request account information interface by taking the relevant store information as parameters to obtain corresponding store account passwords and obtain parameters (acquisition parameters), and assembles all obtained data into a dictionary to be transmitted to the next flow block; (3) the 'login operation' flow block is responsible for opening the acquired client path and then inputting an account password; (4) the 'navigation operation' flow block is responsible for clicking corresponding buttons and titles to enter the client; (5) the 'settlement declaration' flow block is responsible for entering a settlement declaration page and filling parameters to be inquired; (6) the 'data export' flow block is responsible for specially exporting Excel operation; (7) and the 'closing client' flow block is responsible for executing the uploading of Excel data and the short-stroke uploading log and closing the client.

Specifically, as shown in fig. 4, (1) "environment initialization" block ends the browser process once before running; (2) the 'initialization' flow block takes out relevant store information (store codes, client codes and the like) of a preset data queue, then an HTTP request account information interface takes the just taken relevant store information out, then corresponding store account passwords and acquisition parameters are obtained, all the acquired data are assembled into a dictionary and transmitted to the next flow block, and a browser is opened to enter a page; (3) the 'login account password' flow block is used for inputting the acquired account password; (4) the verification code judging flow block is used for storing the verification code of the current page, then a homemade word bank is called by python for identification, and if the verification code is wrong, the verification code is refreshed firstly and the true is returned to go out; (5) the branch of 'whether the verification code is wrong' is used for judging whether the verification code is correct, and if the verification code is true, the 'login account password' flow block is entered for continuing to identify (the step is important because the verification code identification accuracy cannot be ensured to be 100%); (6) the flow block of 'inquiring data and saving' is filled in the parameters which are taken from the interface, and then inquiry and export are carried out; (7) the "close browser" block is used to close the browser and upload the log.

In order to implement the above embodiments, the present application further provides a data acquisition device combining an RPA and an AI. Fig. 5 is a schematic structural diagram of a data acquisition device combining RPA and AI according to the present application, as shown in fig. 5, applied to an RPA execution end, which provides a graphical user interface based on natural language processing NLP, the data acquisition device combining RPA and AI includes: a first acquisition module 501, a second acquisition module 502, a third acquisition module 603, and a sending module 604, wherein,

a first obtaining module 501, configured to obtain an acquisition process starting parameter.

A second obtaining module 502, configured to obtain login information and a collection parameter corresponding to the collection process starting parameter.

A login module 503, configured to log in based on the login information.

And the acquisition and transmission module 504 is configured to acquire data on a graphical user interface according to the acquisition parameters and transmit the data to a receiving end.

In an embodiment of the present application, as shown in fig. 6, on the basis of fig. 5, the method further includes: a third acquisition module 505 and a recognition module 506.

And a third obtaining module 505, configured to obtain the verification code information through optical character recognition.

And the identifying module 506 is configured to identify the verification code information by calling a preset self-made word library.

In an embodiment of the present application, as shown in fig. 7, on the basis of fig. 5, the method further includes: a first transmitting module 507.

The first sending module 507 is configured to send data acquisition failure information to an RPA process end or an RPA control end for process reconstruction if execution of the acquisition task fails.

In an embodiment of the present application, as shown in fig. 8, on the basis of fig. 5, the method further includes: a fourth acquiring module 508 and a second sending module 509.

A fourth obtaining module 508, configured to obtain an updated acquisition parameter if the acquisition parameter does not acquire data.

A second sending module 509, configured to collect data according to the updated collection parameter, and send the data to a receiving end.

In an embodiment of the present application, the login module 503 is specifically configured to: determining a login path in the login information; determining an acquisition end corresponding to the login path, and opening the acquisition end; and executing login operation of the account and the password in the login information on a login page of the acquisition end.

In an embodiment of the present application, the collecting and sending module 504 is specifically configured to: determining a first interface element position of a first page of a user graphical interface, and executing clicking operation of the interface element; executing filling operation of the acquisition parameters at a second interface element position of a second page of the user graphical interface; and acquiring data based on a third page of the user graphical interface, and sending the data to a receiving end.

In one embodiment of the present application, acquiring process start parameters includes: one or more of store number, payment category, and task identification.

It should be noted that the foregoing explanation of the embodiment of the data acquisition method is also applicable to the data acquisition apparatus of the embodiment, and is not repeated herein.

To sum up, the data acquisition device combining the RPA and the AI of the embodiment of the present application obtains the acquisition process starting parameters; acquiring login information and acquisition parameters corresponding to acquisition process starting parameters; and logging based on the login information, acquiring data according to the acquisition parameters, and sending the data to the receiving end. Therefore, the technical problems of high data acquisition cost and low acquisition efficiency are solved, data are automatically acquired according to acquisition parameters, and the data acquisition efficiency is improved.

The electronic device provided in this embodiment may be used to implement the technical solutions of the above method embodiments, and the implementation principles and technical effects are similar, which are not described herein again.

Referring to fig. 9, a schematic structural diagram of an electronic device 900 suitable for implementing an embodiment of the present application is shown, where the electronic device 900 may be a terminal device or a server. Among them, the terminal Device may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a Personal Digital Assistant (PDA), a tablet computer (PAD), a Portable Multimedia Player (PMP), a car terminal (e.g., car navigation terminal), etc., and a fixed terminal such as a digital TV, a desktop computer, etc. The electronic device shown in fig. 9 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.

As shown in fig. 9, the electronic device 900 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 901, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 902 or a program loaded from a storage means 908 into a Random Access Memory (RAM) 903. In the RAM 903, various programs and data necessary for the operation of the electronic apparatus 900 are also stored. The processing apparatus 901, the ROM 902, and the RAM 903 are connected to each other through a bus 904. An input/output (I/O) interface 905 is also connected to bus 904.

Generally, the following devices may be connected to the I/O interface 905: input devices 906 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 907 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 908 including, for example, magnetic tape, hard disk, etc.; and a communication device 909. The communication device 909 may allow the electronic apparatus 900 to perform wireless or wired communication with other apparatuses to exchange data. While fig. 9 illustrates an electronic device 900 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.

In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication device 909, or installed from the storage device 908, or installed from the ROM 902. The computer program, when executed by the processing apparatus 901, performs the above-described functions defined in the methods of the embodiments of the present application.

It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.

The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to perform the methods shown in the above embodiments.

Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of Network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In order to implement the above embodiments, the present application also provides an electronic device, including: the data acquisition method in the above embodiments is implemented when the processor executes the computer program.

To achieve the above embodiments, the present application also proposes a non-transitory computer-readable storage medium, in which instructions are executed by a processor to enable the data acquisition method in the above embodiments to be performed.

The units described in the embodiments of the present application may be implemented by software or hardware. Where the name of a unit does not in some cases constitute a limitation of the unit itself, for example, the first retrieving unit may also be described as a "unit for retrieving at least two internet protocol addresses".

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.

In the context of this application, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the disclosure. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.

Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the application. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims

1. A data acquisition method combining RPA and AI is characterized in that the data acquisition method is applied to an RPA execution end, the RPA execution end provides a user graphical interface based on natural language processing NLP, and the method comprises the following steps:

acquiring a starting parameter of an acquisition process;

acquiring login information and acquisition parameters corresponding to the acquisition process starting parameters;

logging in based on the login information;

and acquiring data on the user graphical interface according to the acquisition parameters, and sending the data to a receiving end.

2. The method of claim 1, further comprising, prior to said logging in based on said login information:

acquiring verification code information;

and identifying the verification code information by calling a preset self-made word stock and an optical character identification algorithm.

3. The method of claim 1, further comprising:

and if the execution of the acquisition task fails, sending data acquisition failure information to an RPA process end or an RPA control end for process reconstruction.

4. The method of claim 1, further comprising:

if the acquisition parameters do not acquire data, acquiring updated acquisition parameters;

and acquiring data according to the updated acquisition parameters, and sending the data to a receiving end.

5. The method of claim 1, wherein collecting data at the graphical user interface according to the collection parameters comprises:

determining a first interface element position of a first page of the user graphical interface, and executing clicking operation of the interface element;

executing filling operation of the acquisition parameters at a second interface element position of a second page of the user graphical interface;

data is collected based on a third page of the graphical user interface.

6. The method of claim 1, wherein performing a login based on the login information comprises:

determining a login path in the login information;

determining an acquisition end corresponding to the login path, and opening the acquisition end;

and executing login operation of the account and the password in the login information on a login page of the acquisition end.

7. The method of claim 1, wherein the acquisition procedure initiation parameters comprise:

one or more of store number, payment category, and task identification.

8. A data acquisition device combining RPA and AI, which is applied to RPA executing end, the RPA executing end provides a user graphic interface based on NLP, comprising:

the login module is used for logging in based on the login information;

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, when executing the computer program, implementing a data collection method in combination with an RPA and an AI according to any one of claims 1-7.

10. A non-transitory computer-readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the RPA and AI combined data acquisition method of any of claims 1-7.