KR20240059598A - artificial intelligence based System and Method for business processing - Google Patents

Abstract

The present invention relates to a service provision system and method for improving work convenience and automatically distributing work.
According to an embodiment of the present invention, a service provision system for improving work convenience and automatically distributing work includes an employee terminal (3) configured to transmit employee information input from employees through a network;
A manager terminal (2) configured to transmit work information input from the manager through a network; and
Job information and employee information are received from the manager terminal (2) and employee terminal (3), and based on the received information, employees who are suitable for the technical field and level of difficulty of the job information are automatically matched, and job-related information is provided based on big data. In order to improve work convenience by automatically retrieving reference information and providing it to the employee terminal (3), work information input from the manager terminal (2) is transmitted, and the work information and employee input by the employee terminal (3) are received. A database unit 11 that receives and stores information using a network, generates keywords based on the business information, searches for information corresponding to the keywords using a big data search engine, and collects reference information according to the search. The big data search unit 12 and whether the technical field and difficulty level preset by the manager for the work information correspond to the employee grade assigned according to the major technical field and work performance amount preset by the employee for the employee information. The decision is made using an artificial intelligence model learned in advance based on the work information and employee information stored in the database unit 11, and the corresponding employee information is sent to the employee terminal 3 according to the judgment. An artificial intelligence work distribution unit (13) configured to transmit the reference material related to the above, receives and stores first biometric information regarding voice and fingerprint from the employee terminal (3), and the stored first biometric bioinformation is A work management server including a biometric recognition unit 14 configured to grant data transmission and reception permission to the employee terminal for a preset time from the manager, depending on whether it corresponds to the second biometric information transmitted from the employee terminal. Including (1),
The manager terminal (2) and the employee terminal (3) are configured with one selected from among a smartphone, a tablet PC, or a desktop PC equipped with a user interface,
The work information consists of information including work instruction documents preset by the manager, ranks regarding preset work technology fields and work difficulty, work images, patent documents, papers, audio information, and video information,
The employee information is information entered using the employee terminal (3) from an employee working in a business operated by the manager, and includes the employee's name, date of birth, position, major technical field, possible technical field, and work performance amount. It is composed of information including employee rank and biological information previously assigned by the manager,
The keywords consist of words or word sets extracted from work instruction documents, patent documents, documents related to technical data, and papers included in the work information,
The reference information is information containing the keywords, but is characterized in that it consists of information including papers, patent documents, Internet postings, dictionary information, image information, video information, and audio information,
Provides a service provision system to improve work convenience and automatically distribute work.

Description

Service provision system and method for improving work convenience and automatically distributing work {artificial intelligence based System and Method for business processing}

The present invention relates to a service provision system and method for improving work convenience and automatically distributing work.

In general, companies adopt a method in which the owner or the head of each department randomly assigns tasks requested by customers to employees. In this case, the work is assigned to employees who complete the work quickly, resulting in overload or a lack of competency. There is a problem that work efficiency is reduced because tasks of an inappropriate level of difficulty are assigned and take a long time.

Conventionally, there is a work distribution process in which work requested from each customer is distributed to employees, and a work processing process in which the employee terminal used by the employee who has received work displays the work distributed from the work management server to enable work processing. And, when work processing is completed, the employee terminal receives the time required to process the work from the employee and transmits it to the work management server, and the work management server points out the time required to process the employee's work. A point conversion process that converts into points, and a performance evaluation process for each employee in which the business management server performs a performance evaluation for each employee using accumulated points accumulated for each employee; A work distribution and evaluation method including a customer-specific business processing cost billing process in which the business management server charges business processing costs for each customer using points generated by processing the customer's requested work is disclosed.

However, the above-described prior art simply evaluates work performance and calculates work processing costs through points based on work processing speed, and it is difficult to distribute tasks of appropriate difficulty according to the employee's capabilities, resulting in low work efficiency and poor work performance. There is a problem that it takes a lot of time to process, and in order to provide reference materials that are highly relevant to the work, human resources are used to search and provide them, so there is a problem that there is a waste of manpower and time in processing the work.

Therefore, there is a great need for technology that can improve work efficiency and ensure stable results with a small investment of time.

1. Korean Patent Publication No. 10-2002-0069987, 2002.09.05 2. Korean Patent No. 10-1994454, 2019.06.24

The purpose of the present invention to solve this problem is to automatically distribute tasks of appropriate difficulty according to the capabilities of employees for tasks requested by managers from customers, and automatically distribute data highly relevant to the task using an artificial intelligence model. The purpose is to provide a service provision system for improving work convenience and automatically distributing work through selective provision.

The object of the present invention is not limited to what has been mentioned above, and other objects not mentioned will be clearly understood by those skilled in the art from the description below.

According to an embodiment of the present invention to achieve this purpose, in a service provision system for improving work convenience and automatically distributing work, an employee terminal (3) configured to transmit employee information input from employees through a network. , a manager terminal (2) configured to transmit work information input from the manager through a network, and work information and employee information received from the manager terminal (2) and the employee terminal (3) based on the received information. The manager terminal (2) automatically matches employees suitable for the technical field and level of difficulty of the work information and automatically searches for work-related reference information based on big data and provides it to the employee terminal (3) to improve work convenience. A database unit (11) that receives work information input from a network, receives and stores the work information and employee information input by the employee terminal (3) using a network, and generates keywords based on the work information, A big data search unit 12 that searches information corresponding to the keyword using a big data search engine and collects reference information according to the search, and the technical field and difficulty level preset by the manager for the work information are determined by the employee. Using an artificial intelligence model previously learned based on the work information and employee information stored in the database unit 11, it is determined whether the information corresponds to the employee grade assigned according to the major technical field and work performance previously set by the employee. An artificial intelligence work distribution unit (13) configured to make a judgment and transmit the work information and the reference materials related to the work information to the employee terminal (3) of the corresponding employee information according to the judgment, and from the employee terminal (3) Receive and store first biometric information about voice and fingerprint, and depending on whether the stored first biometric information corresponds to the second biometric information transmitted from the employee terminal, use the employee terminal for a time preset by the administrator. It includes a work management server (1) including a biometric recognition unit (14) configured to grant data transmission and reception authority, and the manager terminal (2) and the employee terminal (3) are smart devices with a user interface. It consists of a phone, a tablet PC, or a desktop PC selected, and the work information includes a work instruction document preset by the manager, a preset work technology field and rank regarding work difficulty, work images, patent documents, papers, and voices. It consists of information including information and video information, and the employee information is information entered using the employee terminal (3) from an employee working at a business operated by the manager, including the employee's name, date of birth, rank, and major skills. It consists of information including field, possible technical field, employee rank pre-assigned by the manager based on work performance, and biometric information, and the keywords include work instruction documents, patent documents, and technologies included in the work information. It consists of words or word sets extracted from documents and papers related to data, and the reference information is information containing the above keywords, including papers, patent documents, Internet postings, dictionary information, image information, video information, and audio information. Provides a service provision system for improving work convenience and automatically distributing work, which is comprised of information.

In addition, the work management server 1 receives image information from the employee terminal 3 to maximize reliability when searching for reference information or images, and searches Internet portal information including images corresponding to the received image information. It includes an image recognition unit 16 configured to perform, and the Internet portal information includes documents, blog openings, and patents collected from Internet portal sites, paper search sites, Kipris, and public information provision sites by a big data search engine. The information includes material data such as literature and papers, and the image recognition unit 16 generates virtual image information to have a 2D drawing image form based on the image information, and creates virtual image information corresponding to the generated virtual image information. Provides a service provision system for improving work convenience and automatically distributing work, which is configured to enable searches of Internet portal information containing images.

In addition, the artificial intelligence work distribution unit 13 can easily check the evaluation of work processing information through the employee terminal 3 and refer to it for work, or the manager's instructions, evaluation information, and comments included in the review information. In order to process work by easily and quickly reflecting it in the work, and to enable convenient work communication and review between managers and employees, the work processing information for the work information that has been completed is transmitted from the employee terminal (3). receives and stores the work processing information, transmits the work processing information to the manager terminal (2), and receives review information input by the manager terminal (2) based on the work processing information, so that the employee terminal (3) performs the review It is configured to enable confirmation of information, and the review information is given a score by the manager terminal (2) and the score is configured to be confirmed by the employee through the employee terminal (3). Provides a service provision system for automatic task distribution.

According to the present invention, tasks of appropriate difficulty are automatically distributed according to the employee's capabilities using an artificial intelligence model, and data highly relevant to the task is automatically collected and provided using big data search to provide convenient and quick work. It has the effect of greatly improving work convenience by enabling work distribution and simple management and processing of work.

The effects of the present invention are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

1 is a conceptual diagram schematically showing the configuration of a service provision system for improving work convenience and automatically distributing work according to an embodiment of the present invention;
Figure 2 is a block diagram showing the detailed configuration of the task management server in the service provision system for improving task convenience and automatic task distribution according to an embodiment of the present invention;
Figure 3 is a flowchart illustrating a service provision method using a service provision system for improving work convenience and automatically distributing work according to an embodiment of the present invention;

Hereinafter, embodiments will be described in detail with reference to the attached drawings. However, various changes can be made to the embodiments, so the scope of the patent application is not limited or limited by these embodiments. It should be understood that all changes, equivalents, or substitutes for the embodiments are included in the scope of rights.

Specific structural or functional descriptions of the embodiments are disclosed for illustrative purposes only and may be modified and implemented in various forms. Accordingly, the embodiments are not limited to the specific disclosed form, and the scope of the present specification includes changes, equivalents, or substitutes included in the technical spirit.

Terms such as first or second may be used to describe various components, but these terms should be interpreted only for the purpose of distinguishing one component from another component. For example, a first component may be named a second component, and similarly, the second component may also be named a first component.

When a component is referred to as being “connected” to another component, it should be understood that it may be directly connected or connected to the other component, but that other components may exist in between.

The terms used in the examples are for descriptive purposes only and should not be construed as limiting. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more other features. It should be understood that this does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by a person of ordinary skill in the technical field to which the embodiments belong. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted in an ideal or excessively formal sense unless explicitly defined in the present application. No.

In addition, when describing with reference to the accompanying drawings, identical components will be assigned the same reference numerals regardless of the reference numerals, and overlapping descriptions thereof will be omitted.

Additionally, in describing the present invention, if it is determined that a detailed description of related known technologies may unnecessarily obscure the gist of the present invention, the detailed description will be omitted. When 'includes', 'has', 'consists of', etc. mentioned in the specification are used, other parts may be added unless 'only' is used. When a component is expressed in the singular, the plural is included unless specifically stated otherwise.

When interpreting a component, it is interpreted to include the margin of error even if there is no separate explicit description.

Like reference numerals refer to like elements throughout the specification.

The size and thickness of each component shown in the drawings are shown for convenience of explanation, and the present invention is not necessarily limited to the size and thickness of the components shown.

Each feature of the various embodiments of the present invention can be partially or fully combined or combined with each other, and as can be fully understood by those skilled in the art, various technical interconnections and operations are possible, and each embodiment may be implemented independently of each other. It may be possible to conduct them together due to a related relationship.

Hereinafter, a service provision system and method for improving work convenience and automatically distributing work according to an embodiment of the present invention will be described in detail with reference to the attached drawings.

1 is a conceptual diagram schematically showing the configuration of a service provision system for improving work convenience and automatically distributing work according to an embodiment of the present invention;

Figure 2 is a block diagram showing the detailed configuration of the task management server in the service provision system for improving task convenience and automatic task distribution according to an embodiment of the present invention;

Figure 3 is a flowchart illustrating a service provision method using a service provision system for improving work convenience and automatically distributing work according to an embodiment of the present invention.

Referring to Figures 1 to 3, the present invention is a service provision system for improving work convenience and automatically distributing work, in which a manager automatically performs work requested by a customer at an appropriate level of difficulty according to the employee's capabilities using an artificial intelligence model. It is configured to include a work management server (1), an administrator terminal (2), and an employee terminal (3) to automatically select and provide data highly relevant to work.

Specifically, the present invention includes a manager terminal (2) that transmits work information input from the manager, and a database unit (11) that receives and stores the work information and employee information input by the employee terminal (3) using a network; A big data search unit 12 that generates keywords based on the work information, searches for information corresponding to the keywords using a big data search engine, and collects reference information according to the search, and a manager for the work information Work information and employee information stored in the database unit 11 to determine whether the technical field and difficulty level preset from the employee correspond to the employee level assigned according to the major technical field and work performance previously set by the employee with respect to the employee information. An artificial intelligence work distribution unit (13) that makes a decision using an artificial intelligence model learned in advance based on the judgment and transmits the work information and the reference information about the work information to the employee terminal (3) of the corresponding employee information according to the judgment. It is configured to include a business management server (1) including .

The manager terminal (2) and the employee terminal (3) transmit the business information input by the manager (operator) of the company or company, the business information input by the company's employees, and the employee information to the business management server (1), It is designed to link through a network to enable mutual transmission and reception of work-related information.

For example, the manager terminal 2 and the employee terminal 3 are configured to provide the work information and employee information to the work management server 1, and according to the embodiment, a smart device with a user interface is used. It can be implemented as a phone, but it can also be implemented as a smartphone, tablet personal computer, mobile phone, video phone, e-book reader, desktop PC, or laptop PC. It may be implemented as a PC, netbook computer, workstation, server, personal digital assistant (PDA), portable multimedia player (PMP), or wearable device.

Here, the work information is information related to work input from the manager to the manager terminal 2, and includes work instruction documents preset by the manager, ranks regarding preset work technology fields and task difficulty, work images, and patent documents. , the information may include papers, audio information, and video information.

In addition, the employee information is information entered using the employee terminal (3) from an employee working in a company or the same business operated by the manager, including name, date of birth, position, major technical field, and technical field in which work is possible, The information may include an employee rank and biometric information previously assigned by the manager depending on the amount of work performed.

The manager terminal 2 may be configured to upload additional data related to the transmitted work information to the work management server 1.

The employee terminal 3 may be configured to transmit and upload information on results of completed work processing regarding the work information to the work management server 1.

The work management server (1) receives work information and employee information from the manager terminal (2) and employee terminal (3) and automatically matches employees suitable for the technical field and level of difficulty of the work information based on the received information. , It can be configured to automatically search for various reference information related to work based on big data and provide it to the employee terminal 3.

The database unit 11 is configured to receive and store the business information and employee information. The database unit 11 is usually composed of a hard disk drive (HDD), read only memory (ROM), and RAM ( Random Access Memory (EEPROM), Electrically Erasable and Programmable Read Only Memory (EEPROM), flash memory, Compact Flash (CF) card, Secure Digital (SD) card, Smart Media (SM) card, Multimedia (MMC) card, or It can be provided as a storage device capable of inputting and outputting information, such as a memory stick, and serves to collect and store multiple patent documents from Internet portal site search engines or free patent document provision sites (Kypris) through the network. It may be configured to do so.

The big data search unit 12 is configured to generate a keyword based on the business information, search for information corresponding to the keyword using a big data search engine, and collect reference information according to the search.

The big data search unit 12 extracts synonyms corresponding to the keywords based on synonym information previously stored in the database unit, searches Internet portal information containing the synonyms, and searches a plurality of Internet portals searched according to the search. Among the portal information, the list information generated by sorting based on the Internet portal information containing the most keywords and synonyms is configured to be transmitted to the employee terminal by a communication module, so that various work-related information is automatically sent to the employee. By searching and providing information, various information related to work, that is, reference information, can be automatically and quickly delivered to employees, thereby improving work processing efficiency.

For example, the synonym information may be a plurality of synonyms corresponding to words, word sets, and sentences included in the keyword, and may be information extracted based on synonym data stored in advance.

The keyword may be a word or word set extracted from a work instruction document, a patent document, a document related to technical data, or a paper included in the work information.

The Internet portal information is information including data such as documents, blog openings, patent documents, and papers collected from Internet portal sites, paper search sites, Kipris, and public information provision sites by big data search engines. This is the same information as reference information.

The reference information is information containing the keywords related to the business information and may include papers, patent documents, Internet postings, dictionary information, image information, video information, and audio information.

At this time, the patent document may be a document about the technical content submitted by the applicant to receive patent registration at the patent office of each country. However, patent literature can be understood as a concept that includes various documents including technical content, such as job inventions and papers for patent applications. That is, according to one embodiment, the patent document may be at least one of a job invention, a thesis, or a patent application for a patent application.

The big data search engine may be implemented using a big data search site search engine that typically provides big data search or a big data search engine configured to perform a known big data search. Accordingly, as a result, it is possible to provide a wide range of various information regarding work information, and by searching and providing more Internet portal information regarding work information, convenience when performing work can be improved.

The big data search engine can be combined with an artificial intelligence model and provided to perform a search.

For example, the artificial intelligence model provided in combination with the big data search engine is usually collected from the database unit 11 or through an external patent document provision server (not shown) or Internet portal site search (not shown). It is an artificial intelligence model based on Convolutional Deep Neural Networks (CNN) learned by inputting patent documents or pre-stored patent documents as learning data, and is an artificial intelligence model based on the Bi-LSTM model learned based on the patent documents. It could be an intelligence model. However, it is not limited to this and various artificial intelligence models can be applied to the present invention, for example, models such as DNN (Deep Neural Network), RNN (Recurrent Neural Network), BRDNN (Bidirectional Recurrent Deep Neural Network), word embedding An artificial intelligence model using a deep learning algorithm based on can also be used as an artificial intelligence model.

Here, Convolutional Deep Neural Networks (CNN) are a type of multilayer perceptrons designed to use minimal preprocessing, and Convolutional Neural Networks use one or several convolutional layers. ) and general artificial neural network layers on top of it, and additional weights and pooling layers can be used.

Due to this structure, a convolutional neural network can be provided to utilize input data with a two-dimensional structure.

Additionally, convolutional neural networks can be trained using standard back propagation, and convolutional neural networks have the advantage of being easier to train and using fewer parameters than other feedforward artificial neural network techniques.

The artificial intelligence work distribution (13) determines whether the technical field and difficulty level preset by the manager for the work information correspond to the employee grade assigned according to the major technical field and work performance amount preset by the employee for the employee information. may be configured to determine using an artificial intelligence model, and transmit the work information and the reference information regarding the work information to the employee terminal 3 of the corresponding employee information according to the judgment.

The provided artificial intelligence model combined with the artificial intelligence task distribution 13 is a convolutional deep neural network (Convolutional Deep) learned by inputting work information, employee information, and work processing information pre-stored from the database unit 11 as learning data. It is an artificial intelligence model based on Neural Networks (CNN), and may be an artificial intelligence model based on the Bi-LSTM model learned based on the above patent document. However, it is not limited to this and various artificial intelligence models can be applied to the present invention, for example, models such as DNN (Deep Neural Network), RNN (Recurrent Neural Network), BRDNN (Bidirectional Recurrent Deep Neural Network), word embedding An artificial intelligence model using a deep learning algorithm based on can be used as an artificial intelligence model, and the artificial intelligence and its learning method used in embodiments of the present invention are all types of artificial intelligence that can be applied by those skilled in the art to solve problems. The technology and its learning method can be used to implement a system according to the disclosed embodiments.

The work management server 1 receives and stores first biometric information about voice and fingerprint from the employee terminal 3, and the stored first biometric information is combined with the second biometric bioinformation transmitted from the employee terminal. Depending on whether the user responds, the system further includes a biometric recognition unit 14 configured to grant data transmission and reception authority to the employee terminal for a preset period of time from the administrator, allowing for more convenient and quick search for reference information. Not only can it be provided to employees, but it can also provide reference information that is close to (similar to) work information.

The work management server 1 further includes an image recognition unit 16 that receives image information from the employee terminal 3 and performs a search for Internet portal information containing images corresponding to the received image information. In addition, the image recognition unit generates virtual image information in the form of a 2D drawing image based on the image information, and is configured to perform a search of Internet portal information containing an image corresponding to the generated virtual image information. When searching for information or images, noise can be removed and reliability can be maximized.

The artificial intelligence work distribution unit 13 receives and stores work processing information on which work processing has been completed for the work information from the employee terminal 3, transmits the work processing information to the manager terminal 2, and transmits the work processing information to the manager terminal 2. As the employee terminal 3 is configured to confirm the review information by receiving the review information input by the manager terminal 2 based on the work processing information, the employee can evaluate the work processing information. The terminal 3 can easily check and refer to work, or refer to the manager's instructions, evaluation information, and comments included in the review information and easily and quickly reflect them in work to process work.

In addition, the review information is given a score by the manager terminal 2, and the score is provided to the employee for confirmation through the employee terminal 3, thereby enabling rapid communication related to mutual work.

The task management server (1) is a communication unit that enables transmission and reception of each information between the manager terminal (2), the employee terminal (3), and the task management server (1) using a wired/wireless network. It is composed including (15: communication module). For example, it serves to enable communication for sending/receiving information between the manager terminal 2, the employee terminal 3, and the work management server 1 using a wired/wireless network, and the work information and It may be configured to receive employee information and transmit the reference information to the employee terminal 3. For example, the communication unit 15 may be connected to LAN, WCDMA (Wideband Code Division Multiple Access), and LTE (Long Term Evolution). ), WiBro (Wireless Broadband Internet), RF (Radio Frequency) communication, Wireless LAN, Wi-Fi (Wireless Fidelity), NFC (Near Field Communication), Bluetooth, and infrared communication. It can be.

Below, a method of providing an artificial intelligence-based automatic task distribution service using an artificial intelligence-based automatic task distribution service system according to an embodiment of the present invention will be described.

An artificial intelligence-based automatic task distribution service providing method according to an embodiment of the present invention may be provided including the first step (S1) to the fifth step (S5).

The first step (S1) is a step in which the database unit 11 of the job distribution server 1 receives and stores the job information and employee information from the operator terminal 2 and the employee terminal 3.

Here, in the first step (S1), first biometric information regarding voice and fingerprint is received and stored from the employee terminal 3 by the biometric recognition unit 14 of the business management server 1, and the stored first biometric information is transmitted and stored. 1 Depending on whether the biometric bioinformation corresponds to the second biometric information transmitted from the employee terminal 3, the administrator grants permission to transmit and receive data to the employee terminal 3 for a preset time. More may be included.

In the second step (S2), a keyword is generated based on the business information by the big data search unit 12, information corresponding to the keyword is searched using a big data search engine, and reference information is provided according to the search. It may be a collection stage.

In the third step (S3), the technical field and difficulty level preset by the manager for the work information are adjusted by the artificial intelligence work distribution unit 13 to the major technical field and work performance amount preset by the employee for the employee information. The communication unit 15 uses the artificial intelligence model to determine whether it corresponds to the employee grade assigned according to the judgment, and sends the work information and the reference information about the work information to the employee terminal 3 of the corresponding employee information according to the judgment. It may be a transmission step.

At this time, in the third step (S3), the big data search unit 12 extracts a synonym corresponding to the keyword based on the synonym information previously stored in the database unit 1, and an Internet portal containing the synonym is extracted. The employee terminal ( It may be provided including the fourth step (S4) of transmitting to 3).

In addition, the fourth step (S4) receives image information from the employee terminal 3 by the image recognition unit 16 of the work management server 1, and includes a drawing image corresponding to the received image information. It may be provided by including a fifth step (S5) of performing an Internet portal information search and providing information according to the search to the employee terminal 3 through the communication unit 15.

At this time, in the fifth step (S5), the image recognition unit 16 generates virtual image information in the form of a 2D drawing image based on the image information, and creates an Internet portal containing a drawing image corresponding to the generated virtual image information. It may be provided including the step of performing a search for information (reference information).

In addition, the fifth step (S5) receives and stores business processing information on which business processing has been completed for the business information from the employee terminal 3, transmits the business processing information to the manager terminal 2, and transmits the business processing information to the manager terminal 2. It may further include a step of receiving review information input by the manager terminal 2 based on work processing information and providing the review information so that the employee terminal 3 can check the review information. Accordingly, convenient business communication and reviews between managers and employees are possible, and such review information can be transmitted using text messages.

In this embodiment of the present invention, the server of the method and system may be driven by instructions that cause one or more processors to perform the functions and processors described above.

For example, such instructions may include interpreted instructions, such as script instructions such as JavaScript or ECMAScript instructions, executable code, or other instructions stored on a computer-readable medium. Furthermore, the device according to the present invention may be implemented in a distributed manner over a network, such as a server farm, or may be implemented in a single computer device.

Although the specification and drawings describe example device configurations, implementations of the functional operations and subject matter described herein may be implemented in other types of digital electronic circuits, or may be implemented in the structures disclosed herein and their structural equivalents. It may be implemented as computer software, firmware, or hardware, or as a combination of one or more of these. Implementations of the subject matter described herein may relate to one or more computer program products, that is, computer program instructions encoded on a tangible program storage medium for controlling the operation of or execution by a device according to the invention. It can be implemented as the above modules. The computer-readable medium may be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of matter that affects a machine-readable radio wave signal, or a combination of one or more of these.

Implementations of the subject matter described herein may include backend components, such as a data server, middleware components, such as an application server, or, for example, a web browser or graphical user through which a user may interact with an implementation of the subject matter described herein. It may be implemented in a front-end component, such as a client computer with an interface, or in a computing system that includes any combination of one or more of such back-end, middleware, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication, such as a telecommunications network.

Although this specification contains details of numerous specific implementations, these should not be construed as limitations on the scope of any invention or what may be claimed, but rather as descriptions of features that may be unique to particular embodiments of particular inventions. It must be understood. Certain features described herein in the context of individual embodiments may also be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination. Furthermore, although features may be described as operating in a particular combination and initially claimed as such, one or more features from a claimed combination may in some cases be excluded from that combination, and the claimed combination may be a sub-combination. It can be changed to a variant of a sub-combination.

Likewise, although operations are depicted in the drawings in a particular order, this should not be construed as requiring that those operations be performed in the particular order or sequential order shown or that all of the depicted operations must be performed to obtain desirable results. In certain cases, multitasking and parallel processing may be advantageous. Additionally, the separation of various system components in the above-described embodiments should not be construed as requiring such separation in all embodiments, and the described program components and systems may generally be integrated together into a single software product or packaged into multiple software products. You must understand that it is possible.

In an embodiment of the present invention, each component, functional block, or means may be composed of one or more subcomponents, and the electrical, electronic, and mechanical functions performed by each component may be an electronic circuit or an integrated circuit. , ASIC (Application Specific Integrated Circuit), etc. may be implemented with various known elements or mechanical elements, and each may be implemented separately or two or more may be integrated into one.

The present invention, constructed in this way, uses an artificial intelligence model to automatically distribute tasks of appropriate difficulty according to the employee's capabilities, and uses big data search to automatically collect and provide data highly relevant to the task, enabling convenient and quick work. It is an invention that has the effect of greatly improving work convenience by enabling distribution and simple management and processing of work.

Although embodiments of the present invention have been described in more detail with reference to the accompanying drawings, the present invention is not necessarily limited to these embodiments, and may be modified in various ways without departing from the technical spirit set forth in the claims of the present invention. Modifications may be implemented. Accordingly, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention, but are for illustrative purposes, and the scope of the technical idea of the present invention is not limited by these embodiments. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive. The scope of protection of the present invention should be interpreted in accordance with the claims below, and all technical ideas within the equivalent scope should be construed as being included in the scope of rights of the present invention.

Therefore, other implementations, other embodiments, and equivalents of the claims also fall within the scope of the following claims.

1. Task management server 2. Administrator terminal
3. Employee terminal 11. Database section
12. Big Data Search Department 13. Artificial Intelligence Work Distribution Department
14. Biometrics Department 15. Communications Department
16. Image recognition unit

Claims (3)

In a service provision system for improving work convenience and automatically distributing work,
An employee terminal (3) configured to transmit employee information input from employees through a network;
A manager terminal (2) configured to transmit work information input from the manager through a network; and
Job information and employee information are received from the manager terminal (2) and employee terminal (3), and based on the received information, employees who are suitable for the technical field and level of difficulty of the job information are automatically matched, and job-related information is provided based on big data. In order to improve work convenience by automatically retrieving reference information and providing it to the employee terminal (3), work information input from the manager terminal (2) is transmitted, and the work information and employee input by the employee terminal (3) are received. A database unit 11 that receives and stores information using a network, generates keywords based on the business information, searches for information corresponding to the keywords using a big data search engine, and collects reference information according to the search. The big data search unit 12 and whether the technical field and difficulty level preset by the manager for the work information correspond to the employee grade assigned according to the major technical field and work performance amount preset by the employee for the employee information. The decision is made using an artificial intelligence model learned in advance based on the work information and employee information stored in the database unit 11, and the corresponding employee information is sent to the employee terminal 3 according to the judgment. An artificial intelligence work distribution unit (13) configured to transmit the reference material related to the above, receives and stores first biometric information regarding voice and fingerprint from the employee terminal (3), and the stored first biometric bioinformation is A work management server including a biometric recognition unit 14 configured to grant data transmission and reception authority to the employee terminal for a preset time from the manager, depending on whether it corresponds to the second biometric information transmitted from the employee terminal. Including (1),
The manager terminal (2) and the employee terminal (3) are configured with one selected from among a smartphone, a tablet PC, or a desktop PC equipped with a user interface,
The work information consists of information including work instruction documents pre-set by the manager, ranks regarding pre-set work technology fields and work difficulty, work images, patent documents, papers, audio information, and video information,
The employee information is information entered using the employee terminal (3) from an employee working in a business operated by the manager, and includes the employee's name, date of birth, position, major technical field, possible technical field, and work performance amount. It is composed of information including employee rank and biometric information previously assigned by the manager,
The keywords are composed of words or word sets extracted from work instruction documents, patent documents, documents related to technical data, and papers included in the work information,
The reference information is information containing the keywords, but is characterized in that it consists of information including papers, patent documents, Internet postings, dictionary information, image information, video information, and audio information,
A service provision system to improve work convenience and automatically distribute work. According to claim 1,
The task management server (1) receives image information from the employee terminal (3) in order to maximize reliability when searching for reference information or images, and performs a search of Internet portal information including images corresponding to the received image information. It includes an image recognition unit 16 configured to
The Internet portal information is information including data such as documents, blog openings, patent documents, and papers collected from Internet portal sites, paper search sites, Kipris, and public information provision sites by big data search engines,
The image recognition unit 16 is configured to generate virtual image information to have a 2D drawing image form based on the image information and to perform a search of Internet portal information containing an image corresponding to the generated virtual image information. Characterized by,
A service provision system to improve work convenience and automatically distribute work. According to claim 1,
The artificial intelligence work distribution unit 13 can easily check the evaluation of work processing information through the employee terminal 3 and refer to it for work or refer to the manager's instructions, evaluation information, and comments included in the review information. In order to enable work processing by easily and quickly reflecting it in work, and to enable convenient work communication and reviews between managers and employees, the work processing information for the work information that has been completed is transmitted and stored from the employee terminal (3). The business processing information is transmitted to the manager terminal (2), and review information input by the manager terminal (2) is transmitted based on the business processing information, and the employee terminal (3) receives the review information. It is configured so that it can be checked,
The review information is characterized in that a score is given by the manager terminal (2) and the score can be confirmed by the employee through the employee terminal (3).
A service provision system to improve work convenience and automatically distribute work.