CN112008766A - RPA robot-based data recall automation method - Google Patents

RPA robot-based data recall automation method Download PDF

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Publication number
CN112008766A
CN112008766A CN202010912831.1A CN202010912831A CN112008766A CN 112008766 A CN112008766 A CN 112008766A CN 202010912831 A CN202010912831 A CN 202010912831A CN 112008766 A CN112008766 A CN 112008766A
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China
Prior art keywords
robot
recall
data
electric meter
bureau
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Pending
Application number
CN202010912831.1A
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Chinese (zh)
Inventor
施沩
杭银丽
葛淼佳
梁甜甜
李婷
姜向阳
戴园园
高斌
丁乐乐
陈辰
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Nantong Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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Nantong Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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Application filed by Nantong Power Supply Co of State Grid Jiangsu Electric Power Co Ltd filed Critical Nantong Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
Priority to CN202010912831.1A priority Critical patent/CN112008766A/en
Publication of CN112008766A publication Critical patent/CN112008766A/en
Pending legal-status Critical Current

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J19/00Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/40Data acquisition and logging

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Hardware Design (AREA)
  • Mechanical Engineering (AREA)
  • Databases & Information Systems (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Robotics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Manipulator (AREA)

Abstract

The invention discloses a data recall automation method based on an RPA robot, which comprises the steps of S1 daily timing starting, S2 electric meter bureau number acquisition, S3 data recall, S4 recall result feedback and the like. The application of the invention avoids the repeated operation of manually starting the robot every day, can effectively help the recruitment staff to reduce pressure and burden, and improves the enterprise management level.

Description

RPA robot-based data recall automation method
Technical Field
The invention discloses a data recall automation method based on an RPA robot.
Background
The big data of current electric power are developed rapidly, and power consumption acquisition terminal and user data acquisition application are all multiplied increase, and data acquisition's timeliness requires to have brought great challenge for a ray of data acquisition personnel. Therefore, an automatic method is urgently needed, which can realize automatic recall of abnormal data, relieve the working pressure of front-line personnel and ensure the timeliness of data acquisition.
Object of the Invention
The invention aims to provide an RPA robot-based data recall automation method, which can be used by a user to quickly recall data and meet the timeliness of data acquisition and application.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a data recall automation method based on an RPA robot is characterized in that: the method comprises the following steps:
s1: the daily timing starts: automatically starting a recall robot through a lightweight enterprise-level job scheduling framework Quartz;
s2: collecting the number of the electric meter bureau: the robot automatically logs in the electricity consumption acquisition information system through a pre-designed behavior model, accurately positions and identifies foreground page text information of the electricity consumption acquisition information system by applying an Element Click technology, and acquires the number of an electric meter office to be recalled;
s3: data recall: executing data recruitment operation in a power consumption acquisition information system according to the number of an electric meter bureau acquired by S2 through a pre-designed behavior model, and finishing data recruitment behavior confirmation by means of an OCR technology;
s4: and (3) recalling result feedback: the robot feeds back the data recall condition to the spreadsheet.
In S1, automatically starting a recall robot through a lightweight enterprise-level job scheduling framework Quartz; in S2, acquiring the number of the electric meter bureau needing to be recalled by applying an Element Click technology; in S3, the robot calls the OCR service to complete the confirmation of the system verification code, and finally completes the data recall operation.
The working principle of the invention is as follows:
through a lightweight enterprise-level operation scheduling framework Quartz, the robot is started at 8 and 10 points every day, the robot automatically logs in an electricity utilization acquisition information system after being started, an abnormal data query function interface is opened, and the electricity bureau number needing to be subjected to data recalling is exported. And aiming at the electric meter bureau data needing to be recruited, taking at most 200 pieces of data in each batch as a limit, executing data recruitment operation in the electricity utilization acquisition information system, and recognizing the data recruitment verification code of the electricity utilization acquisition information system by utilizing an OCR technology to complete the confirmation of the recruitment operation. And after each batch of data is processed, feeding back the result of data recruitment to the electronic form of the specified path.
The invention has the beneficial effects that: after the method is applied, the repeated operation of manually starting the robot every day can be avoided. By the method, the automatic recall of the low-voltage user failure data and the large-user failure data can be realized, and the timeliness and the efficiency of data acquisition are improved. The application of the method can effectively help the recruitment staff to reduce pressure and burden, and improve the enterprise management level.
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FIG. 1 is a schematic flow diagram of the process of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
A data recall automation method based on an RPA robot is characterized in that: the method comprises the following steps:
s1: the daily timing starts: automatically starting a recall robot through a lightweight enterprise-level job scheduling framework Quartz;
s2: collecting the number of the electric meter bureau: the robot automatically logs in the electricity consumption acquisition information system through a pre-designed behavior model, accurately positions and identifies foreground page text information of the electricity consumption acquisition information system by applying an Element Click technology, and acquires the number of an electric meter office to be recalled;
s3: data recall: executing data recruitment operation in a power consumption acquisition information system according to the number of an electric meter bureau acquired by S2 through a pre-designed behavior model, and finishing data recruitment behavior confirmation by means of an OCR technology;
s4: and (3) recalling result feedback: the robot feeds back the data recall condition to the spreadsheet.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the technical principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (2)

1. A data recall automation method based on an RPA robot is characterized in that: the method comprises the following steps:
s1: the daily timing starts: automatically starting a recall robot through a lightweight enterprise-level job scheduling framework Quartz;
s2: collecting the number of the electric meter bureau: the robot automatically logs in the electricity consumption acquisition information system through a pre-designed behavior model, accurately positions and identifies foreground page text information of the electricity consumption acquisition information system by applying an Element Click technology, and acquires the number of an electric meter office to be recalled;
s3: data recall: executing data recruitment operation in a power consumption acquisition information system according to the number of an electric meter bureau acquired by S2 through a pre-designed behavior model, and finishing data recruitment behavior confirmation by means of an OCR technology;
s4: and (3) recalling result feedback: the robot feeds back the data recall condition to the spreadsheet.
2. The RPA robot-based data recall automation method according to claim 1, characterized in that: in S1, automatically starting a recall robot through a lightweight enterprise-level job scheduling framework Quartz; in S2, acquiring the number of the electric meter bureau needing to be recalled by applying an Element Click technology; in S3, the robot calls the OCR service to complete the confirmation of the system verification code, and finally completes the data recall operation.
CN202010912831.1A 2020-09-03 2020-09-03 RPA robot-based data recall automation method Pending CN112008766A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010912831.1A CN112008766A (en) 2020-09-03 2020-09-03 RPA robot-based data recall automation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010912831.1A CN112008766A (en) 2020-09-03 2020-09-03 RPA robot-based data recall automation method

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CN112008766A true CN112008766A (en) 2020-12-01

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112749171A (en) * 2021-02-08 2021-05-04 国网山东省电力公司德州供电公司 Cross-system non-invasive data acquisition technology
CN113642831A (en) * 2021-06-24 2021-11-12 国网上海市电力公司 Data rapid acquisition method, medium and equipment based on process automation processing
CN115048282A (en) * 2022-08-15 2022-09-13 北京弘玑信息技术有限公司 Extraction method of repeated operation, electronic device and storage medium

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RU2665033C1 (en) * 2017-10-25 2018-08-27 федеральное государственное бюджетное образовательное учреждение высшего образования "Национальный исследовательский университет "МЭИ" (ФГБОУ ВО "НИУ "МЭИ") Automatic frequency load shedding in the power supply power distribution network control method
CN109741118A (en) * 2018-06-26 2019-05-10 平安科技(深圳)有限公司 Invoice issuing method, apparatus, equipment and computer readable storage medium
CN110161300A (en) * 2019-06-19 2019-08-23 广东电网有限责任公司 A kind of monitoring method and monitoring device of low-voltage power supply
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112749171A (en) * 2021-02-08 2021-05-04 国网山东省电力公司德州供电公司 Cross-system non-invasive data acquisition technology
CN113642831A (en) * 2021-06-24 2021-11-12 国网上海市电力公司 Data rapid acquisition method, medium and equipment based on process automation processing
CN115048282A (en) * 2022-08-15 2022-09-13 北京弘玑信息技术有限公司 Extraction method of repeated operation, electronic device and storage medium
CN115048282B (en) * 2022-08-15 2022-10-25 北京弘玑信息技术有限公司 Extraction method of repeated operation, electronic device and storage medium

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