Mobile data monitoring service system and method

Abstract

The invention particularly relates to a mobile data monitoring service system and method. The mobile data monitoring service system comprises a self-service terminal machine, a data statistics module and an operation monitoring module, the data statistics module is responsible for reporting and counting operation data and business handling data of the self-service terminal machine; and the operation monitoring module is responsible for performing unified monitoring management on self-service terminal machines distributed in various regions according to the regions, monitoring the operation state of the current machine in real time, accurately positioning an abnormal terminal when an abnormal operation condition is encountered, and then informing a manager and a maintenance task in time to perform management and maintenance processing. According to the mobile data monitoring service system and method, visual query of statistical data is realized, the operation states of all deployed terminal machines can be counted, macroscopic regulation and control can be carried out, maintenance personnel can be notified to deal with abnormal problems in time when the abnormal problems occur, the operation risk is reduced, and business propaganda and popularization can be carried out simply and conveniently.

Description

Technical Field

[0001] The present invention relates to the technical field of self-service management, and particularly to a mobile data monitoring service system and method. Background Art

[0002] In recent years, with the continuous development of the Internet, digital terminal machines have emerged in an endless stream. They are not only of various types, but also with the wide promotion of terminal machines, their numbers are increasing rapidly.

[0003] However, while the base number of relevant terminal machines is increasing, due to the diversity of terminal types and the wide distribution area, etc., the statistical problem of terminal data is also a problem. It is necessary to not only count the usage of terminal machine services, but also monitor and count the operation status of the terminal machines themselves. Secondly, the statistics for different regions and the access and viewing of statistical data on different platforms are also inevitable requirements. Facing various and complex requirements, problems such as incomplete data statistics, inability to perform regional statistics, inability to finely monitor the status of terminal machines, poor data visualization effects, inability to detect and handle machine failures in a timely manner, and difficulties in accessing and statistically analyzing data across platforms are likely to occur.

[0004] Based on the limitations of the above-mentioned prior art, the present invention proposes a mobile data monitoring service system and method, aiming to statistically analyze and visually display the data of self-service terminal machines with a large volume or wide distribution, enabling managers or users to have a comprehensive understanding of the business data related to the terminals or the machine deployment situation, and at the same time enabling maintenance personnel to timely understand the operation status of the terminals and machine abnormal information, and be able to more accurately provide on-site maintenance support for machines with abnormal status. Summary of the Invention

[0005] The present invention provides a simple and efficient mobile data monitoring service system and method to make up for the defects of the prior art.

[0006] The present invention is realized by the following technical solutions:

[0007] A mobile data monitoring service system, characterized in that: it includes self-service terminal machines, a data statistics module and an operation monitoring module;

[0008] The self-service terminal machines are equipped with cameras, high-speed document scanners and signature pads, and are equipped with display screen computers; a complete set of convenient service programs can run on the self-service terminal machines, and users can handle business according to their needs, including but not limited to information query, certificate printing and self-declaration;

[0009] The data statistics module is responsible for reporting and statistically analyzing the operation data of the self-service terminal machines themselves and the relevant data generated when users use the self-service terminal machines to handle business;

[0010] The operation monitoring module is responsible for uniformly monitoring and managing the self-service terminal machines distributed in various regions according to the regions, real-time monitoring the running status of the current machines. When encountering abnormal running situations, it accurately locates the abnormal terminals, and then promptly notifies the management personnel and maintenance tasks for management and maintenance processing.

[0011] The self-service terminal machine's own running data includes consumable usage information, fault data, and maintenance report data; the data statistics module can also statistically analyze the running data of the self-service terminal machines by administrative region.

[0012] The relevant data generated when users use the self-service terminal machine to handle business includes, but is not limited to, application click volume, business handling data, user activity analysis data, recent business handling data, and terminal access volume statistical data;

[0013] The data statistics module statistically analyzes and integrates the user business data according to regions, time, business categories, and terminal machine models; after data integration, users can query according to regions, time, business categories, and terminal machine models, and view through visual statistical graphs.

[0014] A mobile data monitoring service method includes the following steps:

[0015] Step S1: The user logs in and accesses the convenient service program deployed on the self-service terminal machine through the identity document or account password, customizes and selects the functions to be used according to the needs, and clicks on the relevant functions to perform business handling operations; the self-service terminal sends the business data generated during the handling stage to the data statistics module;

[0016] Step S2: The data statistics module views, organizes, classifies, and summarizes the data reported by the self-service terminal, manages the display of the reported data categories, opens the data for users to view, and displays the relevant graphical interfaces to the users;

[0017] In the above step S2, the self-service terminal machine's own running data includes consumable usage information, fault data, and maintenance report data; the data statistics module can also statistically analyze the running data of the self-service terminal machines by administrative region.

[0018] The relevant data generated when users use the self-service terminal machine to handle business includes, but is not limited to, application click volume, business handling data, user activity analysis data, recent business handling data, and terminal access volume statistical data;

[0019] The data statistics module statistically integrates user service data according to region, time, service category, and terminal machine model; after data integration, users can query according to region, time, service category, and terminal machine model, and the statistics are presented through statistical graphs with better visualization effects.

[0020] Step S3: The management personnel log in to access the mobile data monitoring service system through the account password, and view the device information and operating status of the self-service terminal machine in real time through the operation monitoring module. The operation monitoring module reports the current operating status regularly through a custom scheduled task, and the status can be divided into four types: normal, abnormal, faulty, and offline.

[0021] When the operation monitoring module detects an abnormal situation of the terminal, it will send the abnormal information to the maintenance personnel according to the distribution area of the terminal. After receiving the maintenance requirements sent by the operation monitoring module, the maintenance personnel can perform fixed-point maintenance on the terminal machine according to the relevant messages and fault conditions reminded.

[0022] In the said step S3, the device information of the self-service terminal machine includes model, serial number, deployment address, maintenance record, and current consumable usage data.

[0023] Step S4: The user views the statistical graph of the relevant service data of the current self-service terminal by accessing the page configured by the management personnel.

[0024] In the said step S4, the page of the data statistics module is published in the form of an H5 page, and the user views the details of the data statistics of the terminal machine by accessing this H5 page.

[0025] A mobile data monitoring service device, characterized in that: it includes a memory and a processor; the memory is used to store computer programs, and the processor is used to implement the above method steps when executing the computer programs.

[0026] A readable storage medium, characterized in that: a computer program is stored on the readable storage medium, and the computer program implements the above method steps when executed by a processor.

[0027] The beneficial effects of the present invention are as follows: The mobile data monitoring service system and method not only realize the visual query of statistical data, have a refined understanding and control of the use of the convenient service program of the terminal machine, which is convenient and efficient; but also can statistically analyze the operating status of all deployed terminal machines, accurately grasp the status of each machine, and can conduct macro-control. When an abnormal problem occurs, it can notify the maintenance personnel in time for handling, and reduce the operation risk of the machine as much as possible; in addition, the management personnel can manage the applications in the data statistics by themselves, manage and publish the page data available for users to view, and the users can access and view through the H5 page, which is simple and convenient for business promotion. Brief Description of the Drawings

[0028] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0029] Attached Figure 1 It is a schematic diagram of the relationship between managers, maintenance personnel, users and the mobile data monitoring service system of the present invention.

[0030] Attached Figure 2 It is a schematic diagram of the mobile data monitoring service method of the present invention. Detailed Embodiment

[0031] In order to enable those skilled in the art of the present technology to better understand the technical solutions in the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in combination with the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0032] The mobile data monitoring service system includes a self-service terminal machine, a data statistics module and an operation monitoring module;

[0033] The self-service terminal machine is equipped with a camera, a high-speed document scanner and a signature board, and is equipped with a display screen computer; a complete set of convenient service programs can run on the self-service terminal machine, and users can handle business according to their needs, including but not limited to information query, certificate printing and self-declaration;

[0034] The data statistics module is responsible for reporting and statistically analyzing the operation data of the self-service terminal machine itself and the relevant data generated when users use the self-service terminal machine to handle business;

[0035] The operation monitoring module is responsible for uniformly monitoring and managing the self-service terminal machines distributed in various regions according to the region, real-time monitoring the operation status of the current machine, accurately locating the abnormal terminal in case of abnormal operation, and then timely notifying the management personnel and maintenance tasks for management and maintenance processing.

[0036] The operation data of the self-service terminal machine itself includes consumable usage information, fault data and maintenance report data; for terminal machines with a wide distribution area, the data statistics module can also statistically analyze the operation data of the self-service terminal machines according to administrative regions.

[0037] The relevant data generated when the user conducts business using the self-service terminal machine include, but are not limited to, application click volume, business processing data, user activity analysis data, recent business processing data, and terminal access volume statistical data;

[0038] The data statistics module statistically integrates the user's business data according to region, time, business category, and terminal machine model; after data integration, the user can query according to region, time, business category, and terminal machine model, and view it through statistical graphs with better visualization effects.

[0039] In actual application scenarios, there are three groups of people, namely management personnel, maintenance personnel, and users. Among them, there is no direct relationship between management personnel and users. The two are interconnected through data transfer via the terminal machine and the data monitoring module in the mobile data monitoring service system, while management personnel and maintenance personnel are interconnected through the operation monitoring module.

[0040] The user refers to an individual or enterprise that needs to use the self-service terminal machine to conduct business and can view the terminal data statistics available for the user to consult.

[0041] The management personnel refer to individuals who conduct unified management and provide maintenance support for terminal machines in the data monitoring service system.

[0042] The maintenance personnel refer to individuals who can provide maintenance support for the terminal when the terminal has abnormal conditions.

[0043] This mobile data monitoring service method includes the following steps:

[0044] Step S1: The user logs in and accesses the convenient service program deployed on the self-service terminal machine through an identity document or account password, customizes and selects the functions to be used according to needs, and clicks on the relevant functions to perform business processing operations; the self-service terminal sends the business data generated during the processing stage to the data statistics module;

[0045] The convenient service program on the self-service terminal machine docks with the data reporting interface on the application program according to the uniformly formulated docking standard, so as to report the relevant application data to the mobile data monitoring service system.

[0046] Step S2: The data statistics module views, organizes, classifies, and summarizes the data reported by the self-service terminal, manages the display of the reported data categories, opens the data available for the user to consult, such as the statistics of current popular businesses, and displays the relevant graphical interfaces to the user;

[0047] In step S2, the self-service terminal machine's own operation data includes consumable usage information, fault data, and maintenance report data; for terminal machines with a wide distribution area, the data statistics module can also statistically analyze the operation data of the self-service terminal machines by region.

[0048] The relevant data generated when the user uses the self-service terminal machine for business processing includes, but is not limited to, application click volume, business processing data, user activity analysis data, recent business processing data, and terminal access volume statistics data;

[0049] The data statistics module statistically analyzes and integrates the user's business data according to region, time, business category, and terminal machine model; after data integration, the user can query according to region, time, business category, and terminal machine model, and the data is presented through statistical graphs with better visualization effects.

[0050] Step S3: The management personnel log in to the mobile data monitoring service system through the account password, and view the device information and operation status of the self-service terminal machine in real time through the operation monitoring module. The operation monitoring module regularly reports the current operation status through a custom scheduled task, and the status can be divided into: normal, abnormal, faulty, and offline.

[0051] When the operation monitoring module detects an abnormal situation of the terminal, it will send the abnormal information to the maintenance personnel according to the terminal distribution area. After receiving the maintenance requirements sent by the operation monitoring module, the maintenance personnel can perform on-site maintenance of the terminal machine according to the relevant messages and fault conditions reminded.

[0052] In step S3, the device information of the self-service terminal machine includes model, serial number, deployment address, maintenance record, and current consumable usage data; the current consumable usage data includes whether the printer is out of paper, out of ink, etc., so that when the management personnel find that the machine is abnormal or faulty, they can quickly locate and perform maintenance.

[0053] Step S4: The user views the statistical graph of the relevant business data of the current self-service terminal by accessing the page configured by the management personnel.

[0054] In step S4, the data statistics module page is published in the form of an H5 page, and the user views the data statistics details of the terminal machine by accessing this H5 page.

[0055] The mobile data monitoring service device is characterized in that it includes a memory and a processor; the memory is used to store computer programs, and the processor is used to implement the above method steps when executing the computer programs.

[0056] The readable storage medium is characterized in that: a computer program is stored on the readable storage medium, and when the computer program is executed by a processor, the above method steps are implemented.

[0057] Compared with the prior art, the mobile data monitoring service system and method have the following characteristics:

[0058] First, it realizes the refined control of the business data deployed on the terminal machines.

[0059] Second, for the widely distributed terminal machines, it can also be conveniently queried and statistically analyzed by means of region and type division.

[0060] Third, it reduces the risk of terminal downtime, reduces potential safety hazards, and can timely maintain and process the abnormal machines.

[0061] Third, the data is configurable and shareable, and can display and publicize excellent business data externally.

[0062] The above-described embodiments are only one of the specific implementation manners of the present invention, and the general changes and substitutions made by those skilled in the art within the scope of the technical solution of the present invention should be included in the protection scope of the present invention.

Claims

1. A mobile data monitoring service system, characterized in that: It includes a self-service terminal machine, a data statistics module and an operation monitoring module; The self-service terminal machine is equipped with a camera, a high-speed document scanner and a signature board, and has a display screen computer; A complete set of convenient service programs can run on the self-service terminal machine, and users can handle business according to their needs, including but not limited to information query, certificate printing and self-service declaration; The data statistics module is responsible for reporting and statistics of the self-running data of the self-service terminal machine itself and the relevant data generated when users use the self-service terminal machine to handle business; The operation monitoring module is responsible for uniformly monitoring and managing the self-service terminal machines distributed in various regions according to regions, real-time monitoring the running status of the current machine. When an abnormal operation occurs, it can accurately locate the abnormal terminal, and then timely notify the management personnel and maintenance tasks for management and maintenance.

2. The mobile data monitoring service system according to claim 1, wherein: The self-running data of the self-service terminal machine itself includes consumable usage information, fault data and maintenance report data; the data statistics module can also statistically analyze the running data of the self-service terminal machine according to administrative regions.

3. The mobile data monitoring service system according to claim 2, characterized in that: The relevant data generated when users use the self-service terminal machine to handle business includes but not limited to application click volume, business handling data, user activity analysis data, recent business handling data and terminal access volume statistics data; The data statistics module statistically analyzes and integrates user business data according to regions, time, business categories and terminal machine models; after data integration, users can query according to regions, time, business categories and terminal machine models, and view through visual statistical graphs.

4. A method for mobile data monitoring service, characterized in that: It includes the following steps: Step S1: The user logs in and accesses the convenient service program deployed on the self-service terminal machine through an identity document or account password, customizes and selects the functions to be used according to the needs, and clicks the relevant functions to perform business handling operations; the self-service terminal sends the business data generated during the handling stage to the data statistics module; Step S2: The data statistics module checks, organizes, classifies and summarizes the data reported by the self-service terminal, manages the display of the reported data categories, opens the data for users to view, and displays the relevant graphical interfaces to users; Step S3: The management personnel log in and access the mobile data monitoring service system through the account password, and view the device information and running status of the self-service terminal machine in real time through the operation monitoring module. The operation monitoring module regularly reports the current running status through a custom scheduled task; When the operation monitoring module detects an abnormal situation of the terminal, it will send the abnormal information to the maintenance personnel according to the terminal distribution area. After receiving the maintenance requirements sent by the operation monitoring module, the maintenance personnel can perform fixed-point maintenance on the terminal machine according to the reminder messages and fault conditions; Step S4: The user views the relevant business data statistical chart of the current self-service terminal by accessing the page configured by the management personnel.

5. The mobile data monitoring service method according to claim 4, characterized in that: In step S2, the self-running data of the self-service terminal machine itself includes consumable usage information, fault data and maintenance report data; the data statistics module can also statistically analyze the running data of the self-service terminal machine according to administrative regions.

6. The mobile data monitoring service method according to claim 5, characterized in that: The relevant data generated when the user conducts business using the self-service terminal machine include, but are not limited to, application click volume, business handling data, user activity analysis data, recent business handling data, and terminal access volume statistics data; The data statistics module statistically integrates the user's business data according to region, time, business category, and terminal machine model; after data integration, the user can query according to region, time, business category, and terminal machine model, and the statistics are presented through visual statistical graphs.

7. The mobile data monitoring service method according to claim 4, wherein: In step S3, the device information of the self-service terminal machine includes model, serial number, deployment address, maintenance record, and current consumable usage data.

8. The mobile data monitoring service method according to claim 4, characterized in that: In step S4, the data statistics module page is published in the form of an H5 page, and the user can view the data statistics details of the terminal machine by accessing this H5 page.

9. A mobile data monitoring service device, characterized in that: It includes a memory and a processor; the memory is used to store a computer program, and the processor is used to implement the method steps described in any one of claims 4 to 8 when executing the computer program.

10. A readable storage medium, characterized in that: A computer program is stored on the readable storage medium, and when the computer program is executed by the processor, the method steps described in any one of claims 4 to 8 are implemented.

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