Big data electronic tag monitoring management system

Abstract

The invention discloses a big data electronic tag monitoring management system comprising a tag management unit used for managing tag information and ensuring a tag state; the label monitoring unit is used for monitoring the real-time state of the label and acquiring the current label state as monitoring data; the data analysis unit is used for counting and analyzing the monitoring data to obtain an analysis report of the monitoring data; and the judgment unit is used for calculating the label according to the analysis report, judging whether the state of the label is abnormal or not, and obtaining a judgment result. The talent information is monitored and managed, so that the problems that the talent information is disordered or abnormal and early warning cannot be performed in time when the state information is abnormal are effectively avoided.

Description

Technical Field

[0001] This invention relates to the field of monitoring and management technology, and more specifically, to a big data electronic tag monitoring and management system. Background Technology

[0002] With the development of computer and network service technologies, using computer technology to manage various office tasks is a necessary means to adapt to modern information management. Talent is crucial to the development of enterprises today; selecting, utilizing, training, and retaining talent are long-term strategic goals and development strategies for business operations. In today's society, competition among enterprises is increasingly fierce, and the core of this competition is talent. Most high-end talent are graduates of top universities, but the current management of high-end talent information is not yet perfect, easily leading to problems such as chaotic or abnormal talent information during searches, and the inability to provide timely warnings when abnormal status information occurs.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This invention provides a big data electronic tag monitoring and management system. By monitoring and managing talent information, it effectively avoids the problems of chaotic or abnormal talent information during queries and the inability to provide timely warnings when abnormal status information occurs.

[0005] The first aspect of this invention discloses a big data electronic tag monitoring and management system, comprising:

[0006] The label management unit is used to manage label information and ensure the status of the labels;

[0007] The tag monitoring unit is used to monitor the real-time status of the tag and obtain the current tag status as monitoring data.

[0008] The data analysis unit is used to perform statistical analysis on the monitoring data and obtain an analysis report of the monitoring data;

[0009] The judgment unit is used to calculate the label based on the analysis report, determine whether the label status is abnormal, and obtain a judgment result.

[0010] A second aspect of this invention discloses a method for monitoring and managing electronic tags for big data, comprising:

[0011] Manage the tag information to ensure the status of the tags;

[0012] The real-time status of the tag is monitored, and the current tag status is obtained as monitoring data;

[0013] The monitoring data is statistically analyzed to obtain an analysis report of the monitoring data;

[0014] It is used to calculate the label based on the analysis report, determine whether the label status is abnormal, and obtain the judgment result.

[0015] According to another aspect of the present invention, a computing device is also provided, the computing device comprising: at least one processor, a memory, and an input / output unit; wherein the memory is used to store a computer program, and the processor is used to invoke the computer program stored in the memory to execute the above-described method for monitoring and managing big data electronic tags.

[0016] According to another aspect of the present invention, a computer-readable storage medium is also provided, which includes instructions that, when executed on a computer, cause the computer to perform the above-described method for monitoring and managing electronic tags of large data.

[0017] In this embodiment of the invention, the tag management unit establishes a tag information database to manage tags by adding, modifying, deleting, and querying them. The database also has backup and recovery functions, effectively ensuring the traceability and accuracy of tag information. The tag monitoring unit monitors tag status in real time, effectively ensuring tag compliance and reliability. After receiving the monitoring data, the data analysis unit processes and analyzes the data to obtain an analysis report. By providing effective real-time analysis reports, it effectively helps users understand the real-time status of tags. By implementing this embodiment of the invention, the problems of chaotic or abnormal talent information during queries and the inability to provide timely warnings when status information is abnormal can be effectively avoided. Attached Figure Description

[0018] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0019] Figure 1 This is a schematic diagram of the structure of a big data electronic tag monitoring and management system according to an embodiment of the present invention;

[0020] Figure 2 This is a flowchart illustrating a big data electronic tag monitoring and management system according to an embodiment of the present invention;

[0021] Figure 3 A schematic diagram of the structure of a medium according to an embodiment of the present invention is shown.

[0022] Figure 4A schematic diagram of the structure of a computing device according to an embodiment of the present invention is shown. Detailed Implementation

[0023] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0025] The following is for reference. Figure 1 , Figure 1 This is a schematic diagram of the structure of a big data electronic tag monitoring and management system provided in one embodiment of the present invention. It should be noted that the embodiments of the present invention can be applied to any applicable scenario.

[0026] Figure 1 The schematic diagram shown below illustrates the structure of a big data electronic tag monitoring and management system according to an embodiment of the present invention, including:

[0027] The label management unit 101 is used to manage label information and ensure the status of the labels;

[0028] The tag monitoring unit 102 is used to monitor the real-time status of the tag and obtain the current tag status as monitoring data.

[0029] Data analysis unit 103 is used to perform statistics and analysis on the monitoring data and obtain an analysis report of the monitoring data;

[0030] The judgment unit 104 is used to calculate the label based on the analysis report, determine whether the label status is abnormal, and obtain a judgment result.

[0031] As an optional implementation, the judgment unit 104 is also used to, after obtaining the judgment result, send the abnormal situation to the user by message push based on the preset early warning model if the judgment result shows that the tag status is abnormal.

[0032] Specifically, when a tag shows an abnormal status, the system can push notifications to the user via SMS, email, or phone based on an early warning model. This effectively solves the problem of not being able to provide timely warnings when status information is abnormal.

[0033] Please see Figure 2 , Figure 2 This is a flowchart illustrating a big data electronic tag monitoring and management method disclosed in an embodiment of the present invention. Figure 2 As shown, the method includes the following steps:

[0034] S201. Manage the tag information to ensure the status of the tags;

[0035] In this embodiment of the invention, the label management unit establishes a label information database. This database has backup and restore functions for the label information, and allows for management operations such as adding, modifying, deleting, and querying labels using a front-end interface or API. This effectively ensures the traceability and accuracy of the label information.

[0036] S202. Monitor the real-time status of the tag and obtain the current tag status as monitoring data;

[0037] In this embodiment of the invention, the label monitoring unit achieves real-time monitoring of labels by setting up monitoring stations and a monitoring plan, and uploads the acquired real-time monitoring data to the backend via the monitoring network. This effectively ensures the compliance and reliability of the labels.

[0038] S203. Perform statistical analysis on the monitoring data and obtain an analysis report of the monitoring data;

[0039] In this embodiment of the invention, after receiving the monitoring data, the data analysis unit processes and analyzes the monitoring data using data mining and machine learning to obtain a status report and anomaly analysis of the monitoring data, which is then identified as an analysis report. This helps users understand the real-time status of the current tag, and users can also intuitively see if there are any anomalies in their information.

[0040] S204. Calculate the label based on the analysis report, determine whether the label status is abnormal, and obtain the judgment result.

[0041] In this embodiment of the invention, after receiving the analysis report, the judgment unit calculates the tags using the set monitoring threshold and an anomaly detection algorithm, and derives a judgment result based on the final calculation result. This further avoids situations where talent information is confused or abnormal.

[0042] After introducing the methods and apparatus of exemplary embodiments of the present invention, the following references are made. Figure 3 A computer-readable storage medium according to exemplary embodiments of the present invention will be described, please refer to... Figure 3 The computer-readable storage medium shown is an optical disc 30, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it implements the steps described in the above method embodiments, such as managing tag information to ensure the tag status; monitoring the real-time status of the tag and obtaining the current tag status as monitoring data; statistically analyzing the monitoring data and obtaining an analysis report of the monitoring data; calculating the tag based on the analysis report, determining whether the tag status is abnormal, and obtaining a determination result.

[0043] The specific implementation methods for each step will not be repeated here.

[0044] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical and magnetic storage media, which will not be elaborated here.

[0045] After introducing the methods, media, and apparatus of exemplary embodiments of the present invention, the following references are made. Figure 4 A computing device for training a carbon emission prediction model according to an exemplary embodiment of the present invention.

[0046] Figure 4 A block diagram is shown of an exemplary computing device 40 suitable for implementing embodiments of the present invention. The computing device 40 may be a computer system or a server. Figure 4 The computing device 40 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

[0047] like Figure 4 As shown, the components of computing device 40 may include, but are not limited to: one or more processors or processing units 401, system memory 402, and bus 403 connecting different system components (including system memory 402 and processing unit 401).

[0048] The computing device 40 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computing device 40, including volatile and non-volatile media, and removable and non-removable media.

[0049] System memory 402 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 4021 and / or cache memory 4022. Computing device 40 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, ROM 4023 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 4 Not shown in the image (usually referred to as a "hard drive"). Although not shown in Figure 4 The diagram illustrates that disk drives for reading and writing to removable non-volatile disks (e.g., "floppy disks") and optical disc drives for reading and writing to removable non-volatile optical discs (e.g., CD-ROMs, DVD-ROMs, or other optical media) can be provided. In these cases, each drive can be connected to bus 403 via one or more data media interfaces. System memory 402 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0050] A program / utility 4025 having a set (at least one) of program modules 4024 may be stored, for example, in system memory 402, and such program modules 4024 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment. Program modules 4024 typically perform the functions and / or methods described in the embodiments of the present invention.

[0051] The computing device 40 can also communicate with one or more external devices 404 (such as a keyboard, pointing device, display, etc.). This communication can be performed via the input / output (I / O) interface 405. Furthermore, the computing device 40 can also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 406. Figure 4 As shown, network adapter 406 communicates with other modules of computing device 40 (such as processing unit 401) via bus 403. It should be understood that, although... Figure 4 As not shown, it can be used in conjunction with computing device 40 with other hardware and / or software modules.

[0052] The processing unit 401 executes various functional applications and data processing by running programs stored in the system memory 402. For example, it manages tag information to ensure the tag status; monitors the real-time status of the tags and obtains the current tag status as monitoring data; performs statistical analysis on the monitoring data to obtain an analysis report; and calculates the tag status based on the analysis report to determine whether the tag status is abnormal, obtaining a judgment result. The specific implementation methods of each step will not be repeated here. It should be noted that although several units / modules or sub-units / sub-modules of a big data electronic tag monitoring and management system are mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of the present invention, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0053] In the description of this invention, it should be noted that the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0054] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0055] In the several embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0056] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0057] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0058] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0059] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0060] Furthermore, although the operations of the method of the present invention are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

Claims

1. A big data electronic tag monitoring and management system, characterized in that, The system includes: The label management unit is used to manage label information and ensure the status of the labels; The tag monitoring unit is used to monitor the real-time status of the tag and obtain the current tag status as monitoring data. The data analysis unit is used to perform statistical analysis on the monitoring data and obtain an analysis report of the monitoring data; The judgment unit is used to calculate the label based on the analysis report, determine whether the label status is abnormal, and obtain the judgment result.

2. The big data electronic tag monitoring and management system according to claim 1, characterized in that, The label management unit is used to manage label information, and the specific method to ensure the label status is as follows: A tag information database is established based on the tags, and management operations such as adding, modifying, deleting, and querying the tags are implemented. The database has backup and recovery functions for the tag information.

3. The big data electronic tag monitoring and management system according to claim 1, characterized in that, The label detection unit is used to monitor the real-time status of the label, and the method for obtaining the current label status as monitoring data is as follows: By setting up monitoring stations and monitoring plans, the status of the tags is monitored in real time to obtain monitoring data; A monitoring network is established based on RFID technology, and the monitoring data is uploaded to the backend for processing and analysis.

4. The big data electronic tag monitoring and management system according to claim 1, characterized in that, The data analysis unit is used to perform statistical analysis on the monitoring data, and the specific method for obtaining the analysis report of the monitoring data is as follows: By processing and analyzing the monitoring data, status reports and anomaly analyses of the monitoring data are obtained; The status reports and anomaly analyses of the monitoring data are used to determine the analysis reports of the monitoring data.

5. The big data electronic tag monitoring and management system according to claim 1, characterized in that, The determination unit is also used for: After obtaining the judgment result, if the judgment result shows that the tag status is abnormal, the abnormal situation will be sent to the user via message push based on the preset early warning model.

6. A method for a big data electronic tag monitoring and management system, characterized in that, include: Manage the tag information to ensure the status of the tags; The real-time status of the tag is monitored, and the current tag status is obtained as monitoring data; The monitoring data is statistically analyzed to obtain an analysis report of the monitoring data; The analysis report is used to calculate the status of the tag and determine whether the tag status is abnormal, thus obtaining the judgment result.

7. The method for big data electronic tag monitoring and management system according to claim 6, characterized in that, The management of tag information to ensure the tag status includes: A tag information database is established based on the tags, and management operations such as adding, modifying, deleting, and querying the tags are implemented. The database has backup and recovery functions for the tag information.

8. The method for big data electronic tag monitoring and management system according to claim 6, characterized in that, The step of monitoring the real-time status of the tag and obtaining the current tag status as monitoring data includes: By setting up monitoring stations and monitoring plans, the status of the tags is monitored in real time to obtain monitoring data; A monitoring network is established based on RFID technology, and the monitoring data is uploaded to the backend for processing and analysis.

9. The method for monitoring and managing electronic tags for big data according to claim 6, characterized in that, The step of statistically analyzing the monitoring data to obtain an analysis report of the monitoring data includes: By processing and analyzing the monitoring data, status reports and status anomaly analyses of the monitoring data are obtained. The status reports and status anomaly analyses of the monitoring data are used to determine the analysis reports of the monitoring data.

10. The method for monitoring and managing electronic tags for big data according to claim 6, characterized in that, After calculating the label based on the analysis report, determining whether the label status is abnormal, and obtaining the determination result, the method further includes: If the judgment result shows that the tag status is abnormal, the abnormality will be sent to the user via push notification based on the preset early warning model.

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