KR102576985B1 - Method and system for recording job history using terminology dictionary - Google Patents

Abstract

The disclosed technology relates to a method and system for recording work details using a terminology dictionary, comprising: a first step in which the dictionary system wirelessly communicates with a user terminal to receive information about the user's work details; A second step in which the term dictionary system searches for field terms included in the work details by referring to a list of field terms stored in a database; A third step in which the term dictionary system searches for at least one similar term matching the searched field term by referring to a list of similar terms stored in the database; A fourth step in which the terminology dictionary system compares the frequency of use of the field term and the frequency of use of the at least one similar term and selects one term with the highest frequency of use; and a fifth step of changing the field terminology of the work history into the selected term and storing it in the database. Therefore, it has the effect of changing field terms used only by specific users into general-purpose expressions.

Description

Method and system for recording work history using a terminology dictionary {METHOD AND SYSTEM FOR RECORDING JOB HISTORY USING TERMINOLOGY DICTIONARY}

The disclosed technology relates to a method and system for changing and recording field terms included in work details using a terminology dictionary.

At sites where specific work is performed for each location, such as a shipyard, construction site, or steel mill, multiple users are deployed to perform their assigned tasks. When performing these tasks, each user writes the work details manually in a ledger to record their work details or reports the work details orally to the site manager.

Meanwhile, as described above, the recorded work history is recorded to manage each user's performance. In the past, it was created and managed in an analog manner, but now work history is recorded on the server by recording messages through each terminal. It is being saved.

Meanwhile, in sites such as shipyards and steel mills, each user has a common field terminology. For example, terms such as ‘sachi’, ‘ochil’ or ‘ipgam’, the meaning of which is difficult for the general public to understand, are used more frequently than general expressions. However, not all users use these field terms uniformly; some use field terms, others use terms of general expression rather than field terms, and still others use terms of other expressions. Therefore, even when work details are recorded, each user expresses them differently, so there is a problem of using different terms even though they have the same meaning.

To improve these shortcomings, technology for building a terminology dictionary has recently been used. Referring to Korean Patent No. 10-1264139 (Title of the invention: Web management system for operating a dictionary of terms subject to standardization and its operating method), a technology for constructing a terminology dictionary and providing related search terms is disclosed. However, this technology had the problem of not being able to express field terms included in the voice in general terms.

The disclosed technology provides a method and system for converting field terms included in work details input by voice or text into general terms and recording them using a terminology dictionary.

The first aspect of the technology disclosed to achieve the above technical task is the first step in which the terminology dictionary system wirelessly communicates with the user terminal to receive information about the user's work history, and a list of field terms stored in the database by the terminology dictionary system. A second step of searching for a field term included in the work history with reference to a third step of searching for at least one similar term matching the searched field term by the terminology dictionary system referring to a list of similar terms stored in the database. Step, a fourth step in which the terminology dictionary system compares the frequency of use of the field term and the frequency of use of the at least one similar term and selects one term with the highest frequency of use, and the field term of the work history The aim is to provide a method of recording work details using a terminology dictionary, which includes a fifth step of changing the selected term and storing it in the database.

The second aspect of the technology disclosed to achieve the above technical problem is a user terminal that receives the user's work details as voice or text input through a user interface, a field term included in the work history, and at least one matching field term. Using a terminology dictionary that includes a terminology server that searches for similar terms, selects the one with the highest frequency of use among the field term and the at least one similar term, changes the field term in the work history, and transmits it to the user terminal. The goal is to provide a work history recording system.

Embodiments of the disclosed technology may have effects including the following advantages. However, since this does not mean that the embodiments of the disclosed technology must include all of them, the scope of rights of the disclosed technology should not be understood as being limited thereby.

According to one embodiment of the disclosed technology, a method and system for recording work details using a terminology dictionary has the effect of changing field terms used only by specific users into universal expressions.

In addition, it is effective in securing high-quality data by using a database that stores work details.

Additionally, it has the effect of efficiently managing the work history of multiple users.

1 is a flowchart of a method for recording work details using a glossary according to an embodiment of the disclosed technology.
Figure 2 is a block diagram of a work history recording system using a glossary according to an embodiment of the disclosed technology.
Figure 3 is a diagram showing a list stored in the database.
Figure 4 is a diagram showing the output of changed field terms included in the work details.
Figure 5 is a screen of a user terminal showing an example of entering information according to a request from a dictionary server.
Figure 6 is a screen of a user terminal showing another example of entering information according to a request from a dictionary server.

Since the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all changes, equivalents, and substitutes included in the spirit and technical scope of the present invention.

Terms such as first, second, A, B, etc. may be used to describe various components, but the components are not limited by the terms, and are only used for the purpose of distinguishing one component from other components. It is used only as For example, a first component may be referred to as a second component, and similarly, the second component may be referred to as a first component without departing from the scope of the present invention. The term and/or includes any of a plurality of related stated items or a combination of a plurality of related stated items.

As used herein, singular expressions should be understood to include plural expressions unless the context clearly dictates otherwise. And terms such as "include" mean the presence of the described features, numbers, steps, operations, components, parts, or combinations thereof, but one or more other features, numbers, steps, operations, components, parts, etc. It should be understood that it does not exclude the existence or addition of combinations thereof.

Before providing a detailed description of the drawings, it would be clarified that the division of components in this specification is merely a division according to the main function each component is responsible for. That is, two or more components, which will be described below, may be combined into one component, or one component may be divided into two or more components for more detailed functions.

In addition to the main functions it is responsible for, each of the components described below may additionally perform some or all of the functions handled by other components, and some of the main functions handled by each component may be performed by other components. Of course, it can also be carried out exclusively by . Therefore, the presence or absence of each component described throughout this specification should be interpreted functionally.

1 is a flowchart of a method for recording work details using a glossary according to an embodiment of the disclosed technology. Referring to Figure 1, the method of recording work details using a glossary includes the following steps.

In step 110, the dictionary system wirelessly communicates with the user terminal and receives information about the user's work history. The glossary system uses the user terminal and wireless networks such as 4G and 5G to receive information about work details created on the user terminal. The user terminal is a terminal through which work details can be input and may be, for example, the user's smart terminal. And the glossary system can use a computer or server that communicates wirelessly with a smart terminal.

Meanwhile, the glossary system receives work details as voice or text input. The user terminal may receive voice or text input by the user and transmit it to the glossary system. The glossary system can receive information about work details in the form of an audio file or text file.

Meanwhile, in step 110, the glossary system receives information about the user's identification number, user's work location, user's work type, and user's work time from the user terminal before receiving information about work details. This is done to obtain information in advance about who the user is, where they are, and what kind of work they are doing, so that the work details can be changed more accurately. The terminology dictionary system is used to change closed field terms used among specific users into more general and non-closed terms. In changing these terms, the meaning of field terms is accurately identified and used for more general purposes. In order to change the expression, the above-described information can be requested from the user terminal.

In step 120, the terminology dictionary system searches for field terms included in the work details by referring to the field term list stored in the database. Here, field terminology includes at least one of technical terms, abbreviations, slang, and foreign words used in the user's workplace. For example, it could be a term such as ‘sachil’ or ‘ipgam’ that is used in situations where users communicate wirelessly. The terminology dictionary system stores these field terms in a database. A database generally has lists or tables that store a plurality of data. Therefore, the database included in the terminology dictionary system can similarly have a list in which a plurality of field terms are recorded, and this can be used to search whether field terms included in the work history exist in the list.

In step 130, the dictionary system searches for at least one similar term that matches the searched field term by referring to the list of similar terms stored in the database. Here, similar terms include at least one of standard terms, general terms, and synonyms that have a degree of similarity above a certain standard with field terms. The terminology dictionary system can have a list of similar terms just as it has a list of field terms in the database. Additionally, at least one similar term can be matched to a specific field term and stored. For example, similar terms such as ‘confirmation’ or ‘OK’ can be matched and stored for the field term ‘entrance’. The terminology dictionary system can search the database for at least one similar term that has been matched in this way.

Meanwhile, in step 130, the terminology dictionary system can search for similar terms using artificial intelligence. For example, at least one similar term can be searched using artificial intelligence that has previously learned a plurality of terms stored in a database. Artificial intelligence is capable of learning information about the pronunciation, meaning, and use cases of learned terms to determine what the field terms included in the work history mean and in what situations they are used. And based on these information acquisition results, it is possible to search for at least one similar term with a similar meaning to the field term.

In step 140, the terminology dictionary system compares the frequency of use of the searched field term and the frequency of use of at least one similar term and selects the one term with the highest frequency of use. The frequency of use of the field term and at least one similar term is determined based on at least one of the number of searches, number of saves, and number of changes for the field term and at least one similar term.

As previously explained, the glossary system stores a plurality of field terms and similar terms in the database. These terms can be searched, stored, or changed according to the requests of users using the system. In this case, the system is able to record each count together in the database. For example, when changing the field term ‘entry’ to ‘confirmation’, the counting value can be increased by one each time it is changed and recorded in the field term list as the number of changes to ‘entry’.

Meanwhile, the terminology dictionary system can also perform a dictionary function as it is meant to be. For example, when a specific field term is input from a specific user's terminal, the matched similar term along with a description of its meaning can be displayed on the screen. Even in this case, the number of searches can be recorded by adding a counting value for the field term. Likewise, the number of saves can be recorded by adding a counting value when saving field terms transmitted from the user terminal.

In step 150, the dictionary system changes the field terminology included in the received work details into the term selected in step 140 and stores it in the database. The glossary system converts work details into text and stores them in the database. If the work details were input by voice in step 110, the terminology dictionary system can convert the voice into text, extract field terms from the converted work details, and change them to similar terms. If the work details are entered as text, field terms included in the text can be extracted without voice conversion and changed to similar terms with a high frequency of use.

Meanwhile, the terminology dictionary system additionally stores the field terminology in the database if the field term included in the work history is not searched in the field term list and similar term list. At this time, it is difficult to immediately determine whether the entered term is a field term or a similar term. Therefore, the terminology dictionary system can add the relevant term to the field term list or similar term list.

When a term that does not exist in the database is entered, the terminology dictionary system can be set to basically store the term in the field terminology list. And if a work history containing the same term is entered later, the counting value can be added as before. If this process is repeated over a certain period of time, counting values for specific terms are accumulated in the database. If the accumulated counting value exceeds a certain value, the dictionary system can determine that the term is used more frequently than other terms. Therefore, the term can be determined to be a similar term, deleted from the field term list, and then moved to the similar term list. Of course, considering that the main users who enter work details are workers working in the field, if the counting value exceeds a certain value, the term may be judged to be a term of expression frequently used in the field and stored as is in the field terminology list. This can be changed depending on the settings of the administrator operating the system, and can also be classified using artificial intelligence that has previously learned about field terms or similar terms.

Figure 2 is a block diagram of a work history recording system using a glossary according to an embodiment of the disclosed technology. Referring to FIG. 2, the work history recording system 200 using a glossary includes a user terminal 210 and a dictionary server 220.

The user terminal 210 includes a display 210a, a microphone 210b, a touch panel 210c, and a communication module 210d. The user terminal receives the user's work details as voice or text input through the user interface. The user terminal 210 outputs a user interface using the display 210a. And when the user's work details are voice, the work details are input using the microphone 210b. Alternatively, if the user's work details are text, the work details can be input using the touch panel 210c. The user's work details entered in this way are transmitted to the glossary server 220 using the communication module 210d.

The dictionary server 220 includes a communication module 220a, a database 220b, and a processor 220c. The terminology dictionary server 220 searches for field terms included in the work details and at least one similar term that matches the field term. Before searching for a term, the dictionary server 220 may perform additional processing depending on the type of work details received. For example, when the work details are received by voice, the artificial intelligence included in the processor 220c can convert the voice into text. Of course, if the work details are received as text, the voice recognition process can be omitted.

Meanwhile, the term dictionary server 220 selects the one with the highest frequency of use among the field term and at least one similar term included in the work details converted to text. Field terminology includes at least one of technical terms, abbreviations, slang, and foreign words used in the user's workplace. In addition, similar terms include at least one of standard terms, general terms, and synonyms that have a degree of similarity above a certain standard with field terms.

The glossary server 220 stores a plurality of field terms and similar terms in the database 220b, and the field terms and similar terms are recorded in each list. And it has a structure in which at least one similar term matches a specific field term. The glossary server 220 searches the field terminology included in the work history from the field terminology list. Then, at least similar terms that match the searched field term are searched.

Meanwhile, the dictionary server 220 selects the one with the highest frequency of use among the searched terms. In order to perform this search and selection process, the dictionary server 220 may perform the process using the processor 220c.

Meanwhile, the glossary server 220 changes field terms in the work details and transmits them to the user terminal 210. The glossary server 220 is equipped with a communication module 220a and can communicate wirelessly with the communication module 210d of the user terminal 210. Therefore, it is possible to wirelessly receive work details from the user terminal and transmit the results of changing terms wirelessly.

Meanwhile, the glossary server 220 records the work details of multiple users in a unified expression and records them into data by recording the identification number of the user who transmitted the work details, the user's work location, the user's work type, and the user's work time. Receive information about In other words, it is possible to know in advance who performed what work, where, and when, and to store the specific work details as a single piece of data. Of course, when saving work details, the frequency of use of field terms and at least one similar term is checked and changed to the term with the highest frequency of use before saving the work details.

The term dictionary server 220 determines the frequency of use based on at least one of the number of searches, number of saves, and number of changes for the field term and at least one similar term. In other words, if the field term is used most frequently, the work history can be saved without changing the term. Alternatively, if a specific similar term is used most frequently among similar terms, the field terminology included in the work details can be changed to that term.

In this way, by storing work history and dictionary information together, it is possible for new employees or ordinary people just deployed to the field to limit the search scope when searching for field terms or similar terms in the glossary, allowing them to quickly check accurate search results. It is possible.

Figure 3 is a diagram showing a list stored in the database. As shown in FIG. 3, the database 220b can form a data table consisting of a list of field terms and a list of similar terms.

The field term list stores multiple field terms. For search efficiency, the database can store field terms sorted according to certain criteria, such as alphabetical or abc order.

Meanwhile, the similar term list also stores a plurality of similar terms, just like the field term list. However, the difference from the field term list is that at least one similar term matching one field term can be stored together. For example, for one field term called ‘entrance’, multiple terms such as ‘confirmation’, ‘over’, or ‘ok’ may be matched.

Meanwhile, this list can be stored in the form of a table. And for each object, a counting value indicating the frequency of use can be stored together. For example, as shown in the drawing, the frequency of use of field term 1 is 10, and the frequency of use of field term 2 is 17. Numerical values can be stored together. This numerical value may represent the frequency of use of the term. The terminology dictionary system 200 is capable of selecting a specific term with the highest frequency of use based on the numerical value of the frequency of use recorded in the database 220b.

First, the terminology dictionary system 200 searches the field terminology list for terms included in the work details. For convenience of explanation, site term 1 (301) and site term 5 (303) are considered to be field terms included in the work details. Since two field terms 301 and 303 have been searched, the system 200 searches the similar term list for at least one similar term that matches each field term. As shown in the drawing, similar terms matched to field term 1 (301) are 1-1 and 1-2 (302), and similar terms matched to field term 5 (303) are 5-1, 5-2, and 5-3. . The system 200 selects the term with the highest frequency of use according to the frequency of use of each term. For example, in the case of field term 1 (301), the usage frequency is 10, the similar term 1-1 matched here has a usage frequency of 2, and the similar term 1-2 has a usage frequency of 30. Therefore, the system 200 changes field term 1 (301) to similar term 1-2 (302). On the other hand, in the case of field term 5 (303), the frequency of use of the matched similar terms is lower than the frequency of use of the field term, so the field term with the highest frequency of use is stored as is without change.

Figure 4 is a diagram showing the output of changed field terms included in the work details. Referring to FIG. 4, the user terminal 210 receives a change result for work details from the server and outputs it on the screen. At this time, changing the basic sentence structure may slightly change the meaning or nuance to be conveyed, so the system can only process terminology changes as much as possible and return the work details to the user terminal. As shown in the drawing, the field term ‘ABS1134 unit’ included in the work details (401) was reflected in the work details (402), which were changed to ‘Factory A’. In other words, the term is changed to one that can be easily recognized by other users without information about the field. ‘AFF button’ is also a field term whose meaning cannot be clearly determined by itself, so you can see that it has been changed to ‘welding device button’. The terminology dictionary system allows users without any knowledge of the field to change and save terms to a level where they can sufficiently understand the meaning of work details. Work details saved through this process are accumulated over a certain level in the database and converted into data.

Figure 5 is a screen of a user terminal showing an example of entering information according to a request from a dictionary server. And Figure 6 is a screen of a user terminal showing another example of entering information according to a request from a dictionary server. First, referring to FIG. 5, when a work history is received from a user terminal, the terminology dictionary server first determines information about the user who sent the work history before searching for field terms for the work history. In one embodiment, the user can input his/her identification number ‘A0123’ by tapping the 501 area displayed on the screen of the terminal 210. Here, the identification number refers to a unique number for each user.

Meanwhile, the user can select the work location where he or she is assigned. For example, if the user's work location is Area1, the user can select the work location by tapping area 502.

Meanwhile, referring to FIG. 6, the user can also select the type of work performed at the work location selected by the user. For example, if the task the user is processing is milling, the user can select the task type by tapping the 602 area. After performing this process, the user can input work details by entering text or recording voice on the terminal 210.

Meanwhile, as mentioned above, it is possible to provide an interface so that the user can directly input the work time. However, for convenience of input, the terminal automatically checks information about the current time and sends the work details to the server. You can also send it. The system can store additional information about the work details along with the work details from the user terminal.

The method and system for recording work details using a terminology dictionary according to an embodiment of the disclosed technology have been described with reference to the embodiments shown in the drawings to aid understanding, but this is only illustrative and should be used by those with ordinary knowledge in the field. It will be understood that various modifications and other equivalent embodiments are possible from this. Therefore, the true technical protection scope of the disclosed technology should be determined by the appended patent claims.

110: Receive user’s work details
120: Search for field terms included in work details
130: Search for similar terms to field terms
140: Select specific terms based on frequency of use
150: Reflect selected term in work history
200: system
210: user terminal
220: Glossary server

Claims (15)

A first step in which the glossary system wirelessly communicates with the user terminal to receive information about the user's work history;
A second step in which the term dictionary system searches for field terms included in the work details by referring to a list of field terms stored in a database;
A third step in which the term dictionary system searches for a plurality of similar terms matching the searched field term by referring to a list of similar terms stored in the database;
A fourth step in which the term dictionary system compares the frequency of use of the field term and the frequency of use of the plurality of similar terms and selects a similar term with the highest frequency of use among the plurality of similar terms; and
A fifth step of changing the field term of the work history to the selected similar term and storing it in the database;
The term dictionary system further includes the step of receiving information about the user's identification, the user's work location, the user's work type, and the user's work time from the user terminal;
The terminology dictionary system searches for similar terms using information on a plurality of terms, pronunciation symbols of terms, meanings of terms, and use cases of terms stored in the database in advance, and
The terminology dictionary system compares the frequency of use of the field terms and similar terms based on at least one of the number of searches, number of saves, and number of changes.
The number of searches includes the number of times the field term and similar terms are searched when the terminology dictionary system performs the dictionary function,
The number of times of storage includes the number of times the field term and similar terms are stored in the database when the field term and similar terms do not exist in the terminology dictionary system ,
The number of changes includes the number of times the field term is changed to the selected similar term.
How to record work details using a glossary delete According to claim 1,
The first step is a method of recording work details using a terminology dictionary in which the dictionary system receives the work details as voice or text input. According to claim 1,
The field term includes at least one of specialized terms, abbreviations, slang, and foreign words used at the user's workplace, and the similar term includes at least one of standard terms, general terms, and synonyms that have a degree of similarity above a certain standard with the field term. A method of recording work details using a glossary that includes one. delete delete According to claim 1,
The fifth step is a work history recording method using a terminology dictionary that converts the work history into text and stores it in the database. According to claim 1,
The glossary system records work details using a terminology dictionary that adds the field term to the field term list or the similar term list if the field term included in the work history is not searched in the field term list or the similar term list. method. A user terminal that receives the user's work details by voice or text through a user interface; and
Search for the field term included in the work history and a plurality of similar terms matching the field term, and compare the frequency of use of the field term and the plurality of similar terms to determine the highest frequency of use among the plurality of similar terms. It includes a terminology dictionary server that selects a similar term , changes the field term in the work history to the selected similar term, and transmits it to the user terminal.
The dictionary server requests and receives information about the user's identification number, the user's work location, the user's work type, and the user's work time from the user terminal.
The terminology dictionary server searches for a plurality of similar terms that match the field term using information on a plurality of terms, pronunciation symbols of the terms, meanings of the terms, and use cases of the terms stored in the dictionary in the database.
The terminology dictionary server compares the field term and the plurality of similar terms based on at least one of the number of searches, number of saves, and number of changes for the field term and similar terms.
The number of searches includes the number of times the field term and similar terms are searched when the dictionary server performs the dictionary function.
The number of times of storage includes the number of times the field term and similar terms are stored in the database when the field term and similar terms do not exist in the terminology dictionary server.
The number of changes includes the number of times the field term is changed to the selected similar term.
Work history recording system using a glossary. The method of claim 9, wherein the user terminal,
a display that outputs the interface;
A microphone that receives the work details as voice input;
a touch panel connected to the display and receiving the work details as text; and
A communication module that wirelessly transmits the work details to the dictionary server. A work history recording system using a terminology dictionary including a. The method of claim 9, wherein the dictionary server:
A communication module that receives the work details;
a database storing the list of field terms, the list of similar terms, and the work details; and
A processor that searches for a field term included in the work details among a plurality of field terms stored in the database and searches for the at least one similar term that matches the searched field term; a work history recording system using a terminology dictionary including a. . delete According to clause 9,
The field term includes at least one of specialized terms, abbreviations, slang, and foreign words used at the user's workplace, and the similar term includes at least one of standard terms, general terms, and synonyms that have a degree of similarity above a certain standard with the field term. A work history recording system using a glossary that includes one. delete According to clause 9,
When the work history is transmitted as voice, the dictionary server converts the voice into text using artificial intelligence and creates a terminology dictionary that changes field terms included in the converted text to the one term with the highest frequency of use. Work history recording system used.