CN-116109272-B - RPA data processing method, device, computer equipment and storage medium

CN116109272BCN 116109272 BCN116109272 BCN 116109272BCN-116109272-B

Abstract

The embodiment of the application belongs to the field of big data, and relates to an RPA data processing method, an RPA data processing device, computer equipment and a storage medium, wherein the method comprises the steps of obtaining an RPA data packet, wherein the RPA data packet comprises RPA data of a plurality of data dimensions of an RPA component; the method comprises the steps of obtaining a data processing task corresponding to the RPA data in an RPA data packet, operating the data processing task to perform data processing on the RPA data to obtain a component statistical result and a component evaluation result, and generating the data processing result of the RPA data according to the component statistical result and the component evaluation result. The application systematically processes the RPA data, thereby reducing the resource waste of the RPA data.

Inventors

SUN LEI
LI MEIPING
SUN CHANGQING
LIU YAOYAO

Assignees

远光软件股份有限公司

Dates

Publication Date: 20260505
Application Date: 20230216

Claims (7)

1. An RPA data processing method, comprising the steps of: the method comprises the steps of obtaining an RPA data packet, wherein the RPA data packet comprises RPA data of a plurality of data dimensions of an RPA component, the RPA data comprises basic data and operation data, the basic data and the operation data respectively have the plurality of data dimensions, the basic data comprises a component name, a component display name, a component code, a component version number, a component belonging classification, a component creation date and a component creator of the RPA component, and the operation data comprises component operation times, component operation states and operation record data; acquiring a data processing task corresponding to the RPA data in the RPA data packet, wherein the data processing task comprises a primary statistical task and a further evaluation task, the primary statistical task realizes statistical induction of the RPA data, and the further evaluation task realizes evaluation analysis of an RPA component; operating the data processing task to perform data processing on the RPA data to obtain a component statistical result and a component evaluation result; Generating a data processing result of the RPA data according to the component statistics result and the component evaluation result; the step of operating the data processing task to perform data processing on the RPA data to obtain a component statistical result and a component evaluation result includes: operating a primary statistical task in the data processing task to perform data processing on the RPA data based on the primary statistical task to obtain a component statistical result; Based on the RPA data and the component statistics result, operating a further evaluation task in the data processing task to obtain a component evaluation result; The step of running the primary statistics task in the data processing task to perform data processing on the RPA data based on the primary statistics task to obtain a component statistics result includes: extracting first feature data from the RPA data based on a primary statistical task of the data processing tasks; acquiring first standard data corresponding to the first characteristic data from the primary statistical task; Comparing the first characteristic data with the first standard data, and generating a component statistical result according to the obtained comparison result; the step of operating a further evaluation task in the data processing task based on the RPA data and the component statistics result to obtain a component evaluation result comprises the following steps: Determining an advanced evaluation task in the data processing task according to the component statistics result, wherein the advanced evaluation task comprises an abnormality detection task, a component expansion task or a component optimization task; Acquiring second characteristic data corresponding to the advanced evaluation task from the RPA data and the component statistical result; And operating the advanced evaluation task based on the second characteristic data to obtain a component evaluation result.
2. The RPA data processing method of claim 1, further comprising, prior to the step of obtaining the RPA data packet: the method comprises the steps that RPA data of an RPA component are collected through a runner, wherein the RPA data comprise basic data and running data, and the basic data and the running data respectively have a plurality of data dimensions; And encrypting the RPA data through an encryptor in the operator to obtain an RPA data packet.
3. The RPA data processing method according to claim 2, wherein the step of acquiring the data processing task corresponding to the RPA data in the RPA data packet includes: inputting the RPA data packet into a decryptor and operating the decryptor to decrypt the RPA data packet to obtain the RPA data; extracting an RPA component identifier from the RPA data; and inquiring a data processing task corresponding to the RPA data according to the RPA component identification.
4. The RPA data processing method according to claim 1, wherein the step of generating the data processing result of the RPA data based on the component statistics and the component evaluation result comprises: processing the component statistical result and the component evaluation result through a graphical tool to obtain a data processing result of the RPA data; Displaying the data processing result through the target terminal and And storing the RPA data and the data processing result into a database.
5. An RPA data processing apparatus, comprising: The system comprises a data packet acquisition module, a data packet acquisition module and a data processing module, wherein the RPA data packet comprises RPA data of a plurality of data dimensions of an RPA component, the RPA data comprises basic data and operation data, the basic data and the operation data respectively have the plurality of data dimensions, the basic data comprises a component name of the RPA component, a component display name, a component code, a component version number, a class to which the component belongs, a component creation date and a component creator, and the operation data comprises component operation times, a component operation state and operation record data; The task acquisition module is used for acquiring a data processing task corresponding to the RPA data in the RPA data packet, wherein the data processing task comprises a primary statistical task and a further evaluation task, the primary statistical task realizes the statistical induction of the RPA data, and the further evaluation task realizes the evaluation analysis of an RPA component; the data processing module is used for running the data processing task to perform data processing on the RPA data to obtain a component statistical result and a component evaluation result; the result generation module is used for generating a data processing result of the RPA data according to the component statistics result and the component evaluation result; The data processing module comprises a primary operation sub-module and an evaluation operation sub-module, wherein: The primary operation sub-module is used for operating primary statistical tasks in the data processing tasks so as to perform data processing on the RPA data based on the primary statistical tasks and obtain component statistical results; The evaluation operation sub-module is used for operating a further evaluation task in the data processing task based on the RPA data and the component statistical result to obtain a component evaluation result; The operation submodule comprises a first extraction unit, a standard acquisition unit and a data comparison unit, wherein: The first extraction unit is used for extracting first characteristic data from the RPA data based on a primary statistical task in the data processing tasks; The standard acquisition unit is used for acquiring first standard data corresponding to the first characteristic data from the primary statistical task; The data comparison unit is used for comparing the first characteristic data with the first standard data and generating a component statistical result according to the obtained comparison result; the evaluation operation submodule comprises a task determining unit, a second acquisition unit and an evaluation operation unit, wherein: The task determining unit is used for determining a further evaluation task in the data processing task according to the component statistical result, wherein the further evaluation task comprises an abnormality detection task, a component expansion task or a component optimization task; the second obtaining unit is used for obtaining second characteristic data corresponding to the advanced evaluation task from the RPA data and the component statistical result; And the evaluation operation unit is used for operating the advanced evaluation task based on the second characteristic data to obtain a component evaluation result.
6. A computer device comprising a memory having stored therein computer readable instructions which when executed by a processor implement the steps of the RPA data processing method of any one of claims 1 to 4.
7. A computer readable storage medium having stored thereon computer readable instructions which when executed by a processor implement the steps of the RPA data processing method according to any one of claims 1 to 4.

Description

RPA data processing method, device, computer equipment and storage medium Technical Field The present application relates to the field of big data technologies, and in particular, to an RPA data processing method, an RPA data processing device, a computer device, and a storage medium. Background RPA (Robotic process automation, robot process automation) is a business process automation technology based on software robots and Artificial Intelligence (AI), which is an application program capable of automatically completing some high-repeatability and regular fixed works, thereby reducing the labor intensity, error rate and accelerating the business process and realizing automation and intellectualization of the works. At present, RPA has been widely used in various fields such as finance, tax, supply chain, human resources, information maintenance, etc. RPA products generate large amounts of data during operation, which have some information value. However, there is no systematic processing for RPA data at present, resulting in resource waste of RPA data. Disclosure of Invention The embodiment of the application aims to provide an RPA data processing method, an RPA data processing device, computer equipment and a storage medium, so as to reduce the waste of RPA data. In order to solve the above technical problems, an embodiment of the present application provides an RPA data processing method, which adopts the following technical scheme: acquiring an RPA data packet, wherein the RPA data packet comprises RPA data of a plurality of data dimensions of an RPA component; Acquiring a data processing task corresponding to the RPA data in the RPA data packet, wherein the data processing task comprises a primary statistics task and a further evaluation task; operating the data processing task to perform data processing on the RPA data to obtain a component statistical result and a component evaluation result; and generating a data processing result of the RPA data according to the component statistics result and the component evaluation result. In order to solve the above technical problems, the embodiment of the present application further provides an RPA data processing apparatus, which adopts the following technical scheme: the data packet acquisition module is used for acquiring an RPA data packet, wherein the RPA data packet comprises RPA data of a plurality of data dimensions of an RPA component; The task acquisition module is used for acquiring a data processing task corresponding to the RPA data in the RPA data packet, wherein the data processing task comprises a primary statistics task and a further evaluation task; the data processing module is used for running the data processing task to perform data processing on the RPA data to obtain a component statistical result and a component evaluation result; and the result generation module is used for generating a data processing result of the RPA data according to the component statistics result and the component evaluation result. In order to solve the above technical problems, the embodiment of the present application further provides a computer device, which adopts the following technical schemes: acquiring an RPA data packet, wherein the RPA data packet comprises RPA data of a plurality of data dimensions of an RPA component; Acquiring a data processing task corresponding to the RPA data in the RPA data packet, wherein the data processing task comprises a primary statistics task and a further evaluation task; operating the data processing task to perform data processing on the RPA data to obtain a component statistical result and a component evaluation result; and generating a data processing result of the RPA data according to the component statistics result and the component evaluation result. In order to solve the above technical problems, an embodiment of the present application further provides a computer readable storage medium, which adopts the following technical schemes: acquiring an RPA data packet, wherein the RPA data packet comprises RPA data of a plurality of data dimensions of an RPA component; Acquiring a data processing task corresponding to the RPA data in the RPA data packet, wherein the data processing task comprises a primary statistics task and a further evaluation task; operating the data processing task to perform data processing on the RPA data to obtain a component statistical result and a component evaluation result; and generating a data processing result of the RPA data according to the component statistics result and the component evaluation result. Compared with the prior art, the method and the device have the advantages that the RPA data package is obtained, the RPA data package comprises the RPA data of a plurality of data dimensions of the RPA component, the richness of the data is ensured, the RPA data package is generated through encryption, the safety of the data is ensured, the data processing task corresponding to the