Work order data label processing method, system, equipment and medium
Through automated work ticket data label processing methods, work ticket data can be obtained, converted and extracted, and tags can be generated and associated, which solves the high cost and inefficiency problems caused by manual operations in the prior art, and achieves more efficient and accurate data labels deal with.
Patent Information
- Application Number
- CN202411584294.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-07
- Publication Date
- 2025-02-14
AI Technical Summary
The existing work order data label processing methods require manual operation by staff, resulting in increased labor costs, easy introduction of human errors, and low efficiency.
By obtaining the original work ticket data, converting it into work ticket text data, extracting key information, generating tags, and establishing an association relationship between the tag and the original work ticket data, realizing automated tag processing.
It reduces labor costs, reduces the occurrence of human errors, improves the efficiency of work order data label processing, and can more accurately understand the distribution trend of original work order data.
Smart Images
Figure CN119441461A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of data processing, and specifically relates to a work order data label processing method, system, equipment and medium. Background Art
[0002] With the rapid development of big data and artificial intelligence technology, information processing technology has become an indispensable part of all walks of life. In the current context, the amount of data in enterprises is showing an explosive growth trend. How to efficiently and accurately manage and utilize this data has become an important challenge facing enterprises.
[0003] As a core part of data management, data governance aims to ensure the quality, security and availability of data by formulating norms, processes and technical means. As an important part of data governance, the labeling system is of great significance to enhancing the value of data by labeling data to achieve data classification, retrieval and application.
[0004] The current existing work order data label processing method requires manual operation by staff, which not only increases labor costs, but also easily introduces human errors, resulting in low efficiency in work order data label processing. Summary of the invention
[0005] The purpose of the present invention is to provide a work order data label processing method, system, device and medium, which are used to solve the problem that manual operation is required by staff in the prior art, which increases labor costs, easily introduces human errors, and leads to low efficiency in work order data label processing.
[0006] In order to achieve the above object, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for processing work order data labels, comprising the following steps: Obtain original work order data, and convert the obtained original work order data into work order text data; Extract key information from the converted work order text data to obtain key information extraction results; Generate labels using key information extraction results; The generated tags are used to establish an association relationship between the tags and the original work order data to obtain a distribution result of the original work order data. The association relationship refers to a certain specific relationship between the tags and the original work order data.
[0007] A further improvement of the present invention is that the obtained original work order data is converted into work order text data using TTS technology.
[0008] A further improvement of the present invention is that a keyword extraction model is used to extract key information from the converted work order text data to obtain a key information extraction result.
[0009] A further improvement of the present invention is that the key information includes personnel, addresses, event summaries, names of organizations involved and sentiment values.
[0010] A further improvement of the present invention is that after the tags are generated, they can be displayed, edited, deleted, classified and grouped.
[0011] A further improvement of the present invention is that when editing, deleting, classifying and grouping tags, it is necessary to first determine whether the tags are within the scope of authority control, where the authority control refers to the authority set for different users to access or operate tags.
[0012] A further improvement of the present invention is that when the tags are within the scope of authority control, the tags are edited, deleted, classified and grouped.
[0013] In a second aspect, the present invention provides a work order data label processing system, including a data acquisition module, a key information extraction module, a label generation module and an original work order data distribution result generation module; The data acquisition module is used to acquire original work order data and convert the obtained original work order data into work order text data; The key information extraction module is used to extract key information from the converted work order text data to obtain a key information extraction result; The label generation module is used to generate labels using key information extraction results; The original work order data distribution result generation module is used to establish an association relationship between the tag and the original work order data using the generated tag to obtain the distribution result of the original work order data. The association relationship refers to a certain specific relationship between the tag and the original work order data.
[0014] In a third aspect, the present invention provides an electronic device including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the work order data label processing method introduced above when executing the computer program.
[0015] In a fourth aspect, the present invention provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the work order data label processing method introduced above.
[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention belongs to an improved invention. Compared with the existing work order data label processing method, the work order data label processing method proposed in the present invention extracts key information from the converted work order text data to obtain key information extraction results, and generates labels using the key information extraction results. It can be seen that the present invention generates labels based on the key information extraction results, and does not require manual operation by staff when generating labels, thereby reducing labor costs. Moreover, the present invention also uses the generated labels to establish an association relationship between the labels and the original work order data to obtain the distribution results of the original work order data, which is conducive to the staff to fully understand the distribution trend of the original work order data. There is no need for the staff to manually check each original work order data, thereby improving work efficiency, and effectively solving the problem in the prior art that the staff needs to perform manual operations, which increases labor costs, is easy to introduce human errors, and leads to low efficiency in the processing of work order data labels. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 It is a flow chart of the work order data label processing method of the present invention; Figure 2 It is a schematic diagram of the work order data label processing system of the present invention; Figure 3 It is a schematic structural diagram of the electronic device of the present invention. DETAILED DESCRIPTION
[0018] In order to further understand the content of the present invention, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the embodiments are only for explaining the present invention and are not intended to limit it.
[0019] The work order data label processing method proposed in the present invention first obtains the original work order data, and converts the obtained original work order data into work order text data, then extracts key information from the converted work order text data to obtain key information extraction results, and then generates labels using the key information extraction results, and finally uses the generated labels to establish an association relationship between the labels and the original work order data to obtain the distribution results of the original work order data. Compared with the prior art, the present invention effectively solves the problem that the prior art requires manual operation by staff, increases labor costs, easily introduces human errors, and leads to low efficiency in processing work order data labels.
[0020] Embodiment 1: The flowchart of the work order data label processing method of the present invention is as follows Figure 1 As shown, the work order data label processing method of the present invention includes the following steps: S1. Obtain original work order data, and convert the obtained original work order data into work order text data.
[0021] S2. Extract key information from the converted work order text data to obtain key information extraction results.
[0022] S3. Generate labels using key information extraction results.
[0023] S4. Use the generated tags to establish an association relationship between the tags and the original work order data to obtain a distribution result of the original work order data. The association relationship refers to a certain specific relationship between the tags and the original work order data.
[0024] Embodiment 2: The schematic diagram of the work order data label processing system of the present invention is as follows Figure 2 As shown, the work order data label processing system of the present invention includes a data acquisition module, a key information extraction module, a label generation module and an original work order data distribution result generation module.
[0025] The data acquisition module is used to obtain the original work order data and convert the obtained original work order data into work order text data.
[0026] The key information extraction module is used to extract key information from the converted work order text data to obtain key information extraction results.
[0027] The label generation module is used to generate labels using key information extraction results.
[0028] The original work order data distribution result generation module is used to establish the association relationship between the tag and the original work order data using the generated tag to obtain the distribution result of the original work order data. The association relationship refers to a certain specific relationship between the tag and the original work order data.
[0029] In this embodiment, the relationship between the label and the original work order data is specifically as follows: A. Through a certain tag, you can query the records of all work orders related to the tag; B. Through a work order, you can query the records of all tags related to the work order; C. The correlation between two different work orders (also called the relationship between two different work orders) can be queried through a certain tag and multiple work orders.
[0030] In this embodiment, the data acquisition module uses TTS (Text To Speech) technology to convert the obtained original work order data into work order text data.
[0031] The key information extraction module uses a keyword extraction model to extract key information (such as personnel, address, event summary, name of the organization involved, and sentiment value) from the converted work order text data to obtain the key information extraction results.
[0032] Embodiment 3: S1. Obtain original work order data, and convert the obtained original work order data into work order text data.
[0033] First, the original work order data is obtained (the format of the original work order data is voice format or text format), and the obtained original work order data is converted into work order text data.
[0034] Specifically, in this step, the original work order data in voice format is converted into work order text data using TTS (Text To Speech) technology.
[0035] S2. Extract key information from the converted work order text data to obtain key information extraction results.
[0036] In this step, the keyword extraction model is used to extract key information from the converted work order text data to obtain key information extraction results. The key information includes personnel, address, event summary, name of the organization involved, and sentiment value.
[0037] Specifically, in this step, a training set, a validation set, and a test set are first constructed based on the converted work order text data, and then a keyword extraction model is constructed. The keyword extraction model is trained based on the constructed training set, the performance of the keyword extraction model is evaluated based on the constructed validation set, and the training result of the keyword extraction model is tested based on the constructed test set to obtain a trained keyword extraction model. Finally, the work order text data for key information to be extracted is input into the trained keyword extraction model to extract key information and obtain a key information extraction result.
[0038] S3. Generate labels using key information extraction results.
[0039] The key information extraction result obtained in step S2 is used to generate a label.
[0040] When the labels generated using the key information extraction results obtained in step S2 are incomplete, the staff can also manually set the labels based on their personal understanding and cognition, so that subsequent users can analyze the data more comprehensively.
[0041] S4. Use the generated tags to establish the association relationship between the tags and the original work order data to obtain the distribution result of the original work order data.
[0042] The tag generated in step S3 is used to establish an association relationship between the tag and the original work order data, and the distribution result of the original work order data is obtained. The association relationship refers to a certain specific relationship between the tag and the original work order data.
[0043] In this embodiment, the relationship between the label and the original work order data is specifically as follows: A. Through a certain tag, you can query the records of all work orders related to the tag; B. Through a work order, you can query the records of all tags related to the work order; C. The correlation between two different work orders (also called the relationship between two different work orders) can be queried through a certain tag and multiple work orders.
[0044] The work order data tag processing method proposed in the present invention can display, edit, delete, classify and group tags after generating tags. Specifically, this embodiment displays, edits, deletes, classifies and groups tags through a tag management interface.
[0045] When editing, deleting, classifying, and grouping tags, you need to first determine whether the tags are within the scope of permission control. Only when the tags are within the scope of permission control can the user edit, delete, classify, and group the tags. Permission control refers to the permissions set for different users to access or operate tags.
[0046] When editing, deleting, classifying and grouping tags, first determine whether the tags are within the scope of permission control. This can ensure that different users can only access or operate tags within the scope of permission control, thereby protecting the integrity and accuracy of the data and ensuring the stability of the work order system.
[0047] In order to verify the effectiveness of the work order data label processing method proposed in the present invention, this embodiment uses case data from a hotline center work order system about people complaining about a barbecue stall downstairs in a community causing serious road congestion for verification. First, the TTS technology is used to convert the recording data of the complaint calls made by the masses into text format data. The text format data is not only convenient for better display of the masses' demands, but also convenient for the staff to organize the data later. The accuracy of the process of converting the recording data of the complaint calls made by the masses into text format data is as high as 96%. Then, the trained keyword extraction model is used to conduct an in-depth analysis of the converted work order text data, successfully extract key information, and generate labels based on the key information, such as address, community name, barbecue stall name, mobile vendors, occupying the road and traffic congestion. The accuracy of extracting key information and generating labels using the trained keyword extraction model is as high as 99.99%, and the labels generated by the trained keyword extraction model to extract key information and cover the meaning that the masses want to express are also as high as 99.99%. The above data show that the work order data label processing method proposed in the present invention can extract key information and generate labels more accurately.
[0048] Embodiment 4: See also Figure 3As shown, the present invention also provides an electronic device 100 for a work order data label processing method; the electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.
[0049] The memory 101 can be used to store the computer program 103. The processor 102 implements the steps of the work order data label processing method described in Example 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data (such as audio data) created according to the use of the electronic device 100, etc. In addition, the memory 101 can include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other non-volatile solid-state storage devices.
[0050] The at least one processor 102 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 may be a microprocessor or any conventional processor, etc. The processor 102 is the control center of the electronic device 100, and uses various interfaces and lines to connect various parts of the entire electronic device 100.
[0051] The memory 101 in the electronic device 100 stores a plurality of instructions to implement a work order data tag processing method, and the processor 102 can execute the plurality of instructions to implement: Obtain original work order data, and convert the obtained original work order data into work order text data; Extract key information from the converted work order text data to obtain key information extraction results; Generate labels using key information extraction results; The generated tags are used to establish an association relationship between the tags and the original work order data to obtain a distribution result of the original work order data. The association relationship refers to a certain specific relationship between the tags and the original work order data.
[0052] Embodiment 5: If the module / unit integrated in the electronic device 100 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory and read-only memory (ROM, Read-Only Memory).
[0053] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0054] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0055] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0056] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.
[0057] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.
Claims
1. A method for processing work order data labels, characterized in that: The following steps are involved: Obtain original work order data, and convert the obtained original work order data into work order text data; Extract key information from the converted work order text data to obtain key information extraction results; Generate labels using key information extraction results; The generated tags are used to establish an association relationship between the tags and the original work order data to obtain a distribution result of the original work order data. The association relationship refers to a certain specific relationship between the tags and the original work order data.
2. The work order data label processing method according to claim 1, characterized in that: The obtained original work order data is converted into work order text data using TTS technology.
3. The work order data label processing method according to claim 1, characterized in that: The keyword extraction model is used to extract key information from the converted work order text data to obtain the key information extraction results.
4. The work order data label processing method according to claim 1 or 3, characterized in that: The key information includes personnel, address, event summary, name of the organization involved and sentiment value.
5. The work order data label processing method according to claim 1, characterized in that: After generating tags, you can also display, edit, delete, classify and group them.
6. The work order data label processing method according to claim 1, characterized in that: When editing, deleting, classifying and grouping tags, it is necessary to first determine whether the tags are within the scope of permission control, which refers to the permissions set for different users to access or operate tags.
7. The work order data label processing method according to claim 6, characterized in that: When tags are within the scope of permission control, you can edit, delete, classify and group tags.
8. A work order data label processing system, characterized in that: It includes data acquisition module, key information extraction module, label generation module and original work order data distribution result generation module; The data acquisition module is used to acquire original work order data and convert the obtained original work order data into work order text data; The key information extraction module is used to extract key information from the converted work order text data to obtain a key information extraction result; The label generation module is used to generate labels using key information extraction results; The original work order data distribution result generation module is used to establish an association relationship between the tag and the original work order data using the generated tag to obtain the distribution result of the original work order data. The association relationship refers to a certain specific relationship between the tag and the original work order data.
9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the work order data label processing method described in any one of claims 1 to 7 are implemented.
10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the work order data label processing method described in any one of claims 1 to 7 are implemented.