A data quality monitoring visualization device and method based on RPA

Abstract

The present invention provides a data quality monitoring visualization device and method based on RPA, which relates to the field of RPA data quality monitoring technology, including an RPA control center and multiple secondary control centers and multiple RPA modules installed on the production line: a wireless module and a data processing module are installed in the RPA control center; a display component is provided between the RPA control center and the multiple RPA modules, which is used to display the detection data of the RPA modules in real time and report errors in a timely manner; and an interactive component is provided between the RPA control center and the multiple secondary control centers, which is used to assist staff in remotely directing on-site personnel to handle problems. This device can replace manual monitoring of data quality and realize visualization of data quality detection through the coordinated use of RPA modules, interactive components and display components. At the same time, when abnormal problems are found, on-site personnel can handle them in a timely manner. If necessary, the setting of the interactive component can allow off-site technicians to communicate with on-site personnel to discuss solutions.

Description

Technical Field

[0001] The present invention relates to the technical field of data quality monitoring based on RPA, and in particular to an RPA-based data quality monitoring visualization device and method. Background Art

[0002] RPA, short for Robotic Process Automation, is a technology that automates business processes by simulating and integrating human interactions within application software. Simply put, RPA acts like a virtual assistant that can handle a large number of rule-based workflows without human intervention, effectively reducing human errors and improving work efficiency.

[0003] In the existing production process, traditional manual inspection methods are usually used, which require comparing product data with the data of qualified products. This has a large workload and high work intensity, making it difficult to meet production needs. It is also prone to missed inspections and wrong inspections, making it difficult to control product quality. Summary of the Invention

[0004] The present invention aims to address the shortcomings of the background technology and provide an RPA-based data quality monitoring visualization device and method. Through the coordinated use of RPA modules, interactive components and display components, it can replace manual inspection of products and display the inspection data in real time to achieve visualization of data quality inspection. At the same time, when abnormal problems are found, on-site personnel can handle them in a timely manner. If necessary, the setting of interactive components can be used to allow off-site technicians to communicate with on-site personnel to discuss solutions.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an RPA-based data quality monitoring and visualization device, comprising an RPA control center, multiple secondary control centers, and multiple RPA modules installed on a production line:

[0006] The RPA control center is equipped with wireless modules and data processing modules;

[0007] A display component provided between the RPA control center and the plurality of RPA modules, configured to display the detection data of the RPA modules in real time and report errors in a timely manner; and

[0008] An interactive component is set up between the RPA control center and multiple secondary control centers to assist staff in remotely directing on-site personnel to handle problems.

[0009] Furthermore, the display component includes:

[0010] A first display screen installed on one side of the RPA control center, a primary mouse is provided on the RPA control center, and a host is installed inside the RPA control center;

[0011] The detection module, storage module and data input module are arranged inside the RPA module, and the output end of the detection module is linearly connected to the RPA control center.

[0012] Furthermore, the interaction component includes:

[0013] A connection plate connected to one side of the RPA control center, with a first camera installed at the bottom of the connection plate;

[0014] a first mouse provided on the RPA control center, wherein the RPA control center is provided with a wireless module;

[0015] A second display screen is mounted on the secondary control center, wherein a mounting plate is connected to one side of the secondary control center, and a second camera is mounted on the bottom of the mounting plate;

[0016] A second mouse is arranged on the secondary control center, a secondary wireless module is installed inside the secondary control center, and the wireless module is signal-connected with the secondary wireless module.

[0017] The present invention provides a data quality monitoring visualization device and method based on RPA, which has the following beneficial effects:

[0018] The advantage of the present invention is that, through the coordinated use of RPA modules, interactive components and display components, it can replace manual inspection of products, and display the inspection data in real time to achieve visualization of data quality inspection. At the same time, various inspection rules can be input and selected according to the production requirements of different products, thereby improving the diversity of RPA module detection. When abnormal problems are found, on-site personnel can handle them in a timely manner. If necessary, the setting of interactive components can be used to allow off-site technicians to communicate with on-site personnel to discuss solutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0020] Figure 2 Schematic diagram of the RPA module of the present invention.

[0021] Figure 3 Schematic diagram of the method of use of the present invention.

[0022] Figure 4 This is a schematic diagram of the specific step S1 of the present invention.

[0023] Figure 5 This is a schematic diagram of the specific step S6 of the present invention.

[0024] Figure 6 It is the overall flow chart of the present invention.

[0025] Figure 1-6 Figure 1: 1. RPA control center; 101. Wireless module; 102. Connection board; 103. First camera; 104. First display; 105. First mouse; 106. Data processing module; 107. Host; 2. Secondary control center; 201. Secondary wireless module; 202. Second camera; 203. Second display; 204. Second mouse; 3. RPA module; 301. Detection module; 302. Storage module; 303. Data input module. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts are within the scope of protection of this application.

[0027] The disclosure below provides many different embodiments or examples for realizing different structures of the present application. In order to simplify the disclosure of the present application, the components and settings of specific examples are described below. Of course, they are merely examples and are not intended to limit the present application. In addition, the present application may repeat reference numbers and / or reference letters in different examples, and such repetition is for the purpose of simplicity and clarity, and does not itself indicate the relationship between the various embodiments and / or settings discussed. In addition, the present application provides examples of various specific processes and materials, but those of ordinary skill in the art will appreciate the application of other processes and / or the use of other materials.

[0028] The embodiment of the present application provides a data quality monitoring visualization device and method based on RPA. This data quality monitoring visualization device and method based on RPA can replace manual inspection of products through the coordinated use of RPA modules, interactive components and display components, and display the inspection data in real time to achieve visualization of data quality inspection. At the same time, when abnormal problems are found, on-site personnel can handle them in a timely manner. If necessary, the setting of interactive components can be used to allow off-site technicians to communicate with on-site personnel to discuss solutions. The following describes the data quality monitoring visualization device and method based on RPA in detail. It should be noted that the description order of the following embodiments does not limit the preferred order of the embodiments.

[0029] The present application is described in detail below with reference to the accompanying drawings and specific implementation methods.

[0030] Example 1

[0031] See also Figure 1-6 In this embodiment, a data quality monitoring visualization device based on RPA is provided, including an RPA control center 1, multiple secondary control centers 2, and multiple RPA modules 3 installed on the production line: a wireless module 101 and a data processing module 106 are installed in the RPA control center 1; a display component is arranged between the RPA control center 1 and the multiple RPA modules 3, which is used to display the detection data of the RPA module 3 in real time and report errors in time; and an interactive component is arranged between the RPA control center 1 and the multiple secondary control centers 2, which is used to assist staff in remotely directing on-site personnel to handle problems.

[0032] The coordinated use of RPA module 3, interactive components, and display components can replace manual inspection of products, and display inspection data in real time to achieve visualization of data quality inspection. At the same time, various inspection rules can be input and selected according to the production requirements of different products to improve the diversity of RPA module 3 inspection. When abnormal problems are found, on-site personnel can handle them in a timely manner. If necessary, the setting of interactive components can be used to allow off-site technicians to communicate with on-site personnel to discuss solutions.

[0033] Example 2

[0034] Based on Example 1, the display component includes: a first display screen 104 installed on one side of the RPA control center 1, a primary mouse 105 provided on the RPA control center 1, and a host 107 installed inside the RPA control center 1; a detection module 301, a storage module 302, and a data input module 303 provided inside the RPA module 3, and the output end of the detection module 301 is linearly connected to the RPA control center 1.

[0035] Through the setting of the first display screen 104, the data detected by multiple RPA modules 3 can be displayed in real time, and the display position of the detection data on the first display screen 104 corresponds to the position of multiple RPA modules 3 on the production line, which is convenient for on-site personnel to locate the RPA module 3 that reports an error as soon as possible. Various quality standards and detection rules of the product are input into the storage module 302 through the data input module 303, and then the quality standards and detection rules to be executed are selected from the storage module 302 and input into the detection module 301, so that the RPA module 3 can replace manual processing of a large number of rule-based workflows, effectively reduce human errors, and improve work efficiency.

[0036] Example 3

[0037] Based on Example 1, the interactive components include: a connecting plate 102 connected to one side of the RPA control center 1, with a first camera 103 installed at the bottom of the connecting plate 102; a first mouse 105 provided on the RPA control center 1, with a wireless module 101 provided inside the RPA control center 1; a second display screen 203 installed on the secondary control center 2, with a mounting plate connected to one side of the secondary control center 2, with a second camera 202 installed at the bottom of the mounting plate; a second mouse 204 provided on the secondary control center 2, with a secondary wireless module 201 installed inside the secondary control center 2, and the wireless module 101 is signal-connected to the secondary wireless module 201.

[0038] After the RPA module 3 discovers an abnormal problem and reports an error, if the on-site personnel are unable to handle it, the first camera 103 can be used to capture the image on the first display screen 104 and transmit the captured image to the data processing module 106. The data processing module 106 divides the captured image into X and Y axes, and tracks the movement path and position of the first mouse 105 on the first display screen 104. The path data of the first mouse 105 is then transmitted to the secondary wireless module 201 on the secondary control center 2 via the wireless module 101, so that the position and path of the first mouse 105 are displayed on the second display screen 203 of the secondary control center 2. Similarly, the second camera 202 captures the image of the second display screen 203, and generates the movement position and path of the second mouse 204, which is then transmitted to the first display screen 104 on the RPA control center 1. At this time, on-site staff and off-site personnel can interact in real time through the first display screen 104, the first mouse 105, the second display screen 203, and the second mouse 204, so that off-site technicians can provide timely guidance to on-site personnel in handling and resolving abnormal problems.

[0039] It should be noted that a first mouse 105 icon and multiple second mouse 204 icons can appear simultaneously on the first display screen 104 of the RPA control center 1, but multiple second mice 204 cannot control the RPA control center 1. On-site personnel need to control the first mouse 105 according to the position of the second mouse 204 icon operated by off-site personnel.

[0040] The method for using the RPA-based data quality monitoring visualization device includes the following steps:

[0041] S1. Define data quality standards and design quality inspection rules, determine the data standards for each product and the data range of qualified products;

[0042] S11. Product data quality must comply with various standards and regulations. These regulations can be external (such as national standards, industry standards, group standards, etc.) or internal (organizational internal management standards);

[0043] S12. Secondly, product data quality must meet business needs. Different business scenarios have different requirements for data accuracy, data format, precision, timeliness, etc.

[0044] S13. Based on data quality standards and business rules, conduct data quality exploration on actual data and design multiple data inspection rules in terms of data standardization, completeness, accuracy, consistency, timeliness, accessibility, etc.

[0045] S14. Data quality inspection rules specify the data field type, field length, association relationship, data value range or number of records, etc.;

[0046] S15. Design data quality checking methods based on the rules designed in S14, including regular expressions, SQL statements, or other codes (Java, js, etc.);

[0047] S16: Quality inspection rules only need to be designed on one production line, and can be replicated and applied to multiple production lines through the RPA control center.

[0048] S2. Input the data quality detection rules into the storage module according to the data standard of S1 through the data input module to form a data quality detection knowledge base;

[0049] S3. Configure the actual detection objects for the above data quality inspection rules, including database tables and fields;

[0050] S4. After configuration, based on the product's data detection business requirements, select detection rules from the storage module's data quality detection knowledge base to form a detection plan. This plan is then input into the detection module. The RPA module then executes these data inspection rules in sequence to detect the product.

[0051] S5: Data obtained after detection by multiple RPA modules is transmitted to the RPA control center. The detection data is displayed in real time through the display component, and errors are reported if any problems occur.

[0052] S6. Handle inspection results and abnormal issues;

[0053] S61. After the normal execution is completed, the first display screen 104 may display the inspection results to evaluate the overall quality of the data;

[0054] S62: If an abnormality is found during the inspection, the RPA control center 1 can observe it in real time and take appropriate measures. The RPA module 3 on the production line can also proactively report the error and notify on-site personnel to handle it.

[0055] S63. If there is a problem that cannot be handled by the on-site personnel, the on-site personnel and off-site technicians can communicate and handle it remotely through the interactive components and the secondary control center.

[0056] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0057] The above is a detailed introduction to an RPA-based data quality monitoring visualization device and method provided in the embodiments of the present application. This article uses specific examples to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the technical solutions and core ideas of the present application; ordinary technicians in this field should understand that they can still modify the technical solutions recorded in the aforementioned embodiments, or replace some of the technical features therein with equivalents; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A data quality monitoring visualization device based on RPA, characterized in that: It includes an RPA control center (1), multiple secondary control centers (2), and multiple RPA modules (3) installed on the production line: The RPA control center (1) is equipped with a wireless module (101) and a data processing module (106); A display component provided between the RPA control center (1) and the plurality of RPA modules (3), for displaying the detection data of the RPA modules (3) in real time and reporting errors in a timely manner; and An interactive component provided between the RPA control center (1) and the plurality of secondary control centers (2), for assisting staff in remotely directing on-site personnel to handle problems; The display assembly comprises: A first display screen (104) is installed on one side of the RPA control center (1), a first mouse (105) is provided on the RPA control center (1), and a host (107) is installed inside the RPA control center (1); A detection module (301), a storage module (302) and a data input module (303) are provided inside the RPA module (3), wherein the output end of the detection module (301) is linearly connected to the RPA control center (1); The interactive components include: A connecting plate (102) connected to one side of the RPA control center (1), wherein a first camera (103) is installed at the bottom of the connecting plate (102); a first mouse (105) provided on the RPA control center (1), wherein the RPA control center (1) is provided with a wireless module (101); a second display screen (203) mounted on the secondary control center (2), wherein a mounting plate is connected to one side of the secondary control center (2), and a second camera (202) is mounted on the bottom of the mounting plate; a second mouse (204) provided on the secondary control center (2), wherein a secondary wireless module (201) is installed inside the secondary control center (2), and the wireless module (101) is signal-connected to the secondary wireless module (201); After the RPA module (3) discovers an abnormal problem and reports an error, when the on-site personnel are unable to handle it, the first camera (103) captures the image on the first display screen (104), and transmits the captured image to the data processing module (106). The data processing module (106) divides the captured image into X and Y axes, and tracks the movement path and position of the first mouse (105) on the first display screen (104). Then, the path data of the first mouse (105) is transmitted to the secondary wireless module (20) on the secondary control center (2) through the wireless module (101). 1), so that the position and path of the first mouse (105) are displayed on the second display screen (203) of the secondary control center (2). Similarly, the second camera (202) captures the image of the second display screen (203), generates the moving position and path of the second mouse (204), and transmits it to the first display screen (104) of the RPA control center (1). At this time, on-site staff and off-site personnel can interact in real time through the first display screen (104), the first mouse (105), the second display screen (203) and the second mouse (204); A first mouse (105) icon and multiple second mouse (204) icons can appear simultaneously on the first display screen (104) of the RPA control center (1), but the multiple second mice (204) cannot control the RPA control center (1), and on-site personnel need to control the first mouse (105) according to the position of the second mouse (204) icon operated by off-site personnel.

Images