KR20220096835A - Method for managing integrated labor and computing device for executing the method - Google Patents

Abstract

According to one embodiment of the present invention, a computing device comprises one or more processors and a memory for storing one or more programs executed by one or more processors, wherein the computer device includes: a labor case analysis engine for collecting labor cases, analyzing the collected labor cases and generating labor case analysis information; and a user service engine receiving various kinds of requests or inquiries received from a user terminal and providing services corresponding thereto to the user terminal, wherein the user service engine includes a chatbot service module which upon receiving a user inquiry from the user terminal, analyzes the user inquiry, searches whether a similar case is available among the labor cases and transmits the searched similar case to the user terminal. Therefore, the computing device provides information on various labor-related risk factors, labor-related laws and government subsidies to the user terminal.

Description

A method for integrated labor management and a computing device for performing the same

Embodiments of the present invention relate to labor management techniques.

Recently, due to the increase in the unemployment rate, employment promotion measures and the expansion of employment insurance are emerging as social concerns, and many policies are being attempted to support them. The reality is that there are insufficient solutions to systematically manage In other words, there is a lack of specialized solutions as human resources and labor-related functions are provided as part of a tax or accounting management solution.

In addition, there are many cases where government subsidies are not received because they do not know them properly, and in the reality that SMEs are ignoring employment due to job instability, etc., it is necessary to manage government subsidies tailored to individual circumstances, and systematic personnel and labor management are necessary, In the event of a labor dispute, it is necessary to prevent it in advance and reduce social costs.

Korean Patent Publication No. 10-2164413 (2020.10.13)

An object of the present invention is to provide a computing device capable of providing information on various labor-related risk factors, labor-related laws and government subsidies, as well as information on various labor-related risk factors, by searching for similar cases after analyzing a user's query do it with

On the other hand, the technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned are clearly to those of ordinary skill in the art to which the present invention belongs from the description below. can be understood

A computing device according to an embodiment of the present invention is a computing device having one or more processors and a memory for storing one or more programs executed by the one or more processors, and collects labor-related cases, and collects the a labor case analysis engine that analyzes labor-related cases to generate labor case analysis information; and a user service engine that provides a service corresponding thereto to the user terminal according to various requests or queries received from the user terminal, wherein the user service engine: When a user query is input from the user terminal, and a chatbot service module that analyzes and searches whether there is a similar case among the labor-related cases, and transmits the searched similar case to the user terminal.

The user service engine receives a report request including workplace-related information from the user terminal and transmits it to the labor risk prediction engine, and from the labor risk prediction engine, unfair dismissal risk index, unfair supply and demand risk index, labor dispute for the workplace Receive labor risk management information including at least one of a risk index and an accident risk index, calculate a risk index of the workplace based on the received labor risk management information, and risk including the calculated risk index It may include a risk index reporting module for transmitting the index reporting to the user terminal.

The user service engine may include: an unfair dismissal prevention notification module for generating an unfair dismissal prevention notification when the worker's unfair dismissal risk index received from the labor risk prediction engine exceeds a preset standard; Illegal supply and demand prevention notification module for generating an illegal supply and demand prevention notification when the illegal supply and demand risk index of the workplace received from the labor risk prediction engine exceeds a preset standard; a labor dispute prevention notification module for generating a labor dispute prevention notification when the labor dispute risk index between the workplace and the worker received from the labor risk prediction engine exceeds a preset standard; and an accident prevention notification module for generating an accident prevention notification when the accident risk index of the workplace received from the labor risk prediction engine exceeds a preset standard.

The user service engine extracts the workplace to which the law or policy applies when labor-related laws or policies are revised or added, and uses the extracted or newly added laws or policies to the user terminal of the business site. A labor information notification module that transmits a labor information notification and transmits a labor information notification about the contents of the government subsidy to the user terminal of a previously registered workplace or worker that matches the conditions of the government subsidy. can

a legal search service module that, when a legal keyword is input from the user terminal, searches for a law or policy corresponding to the law-related keyword and transmits it to the user terminal; and a labor contract management module for creating a labor contract based on a labor contract between a previously registered worker and the workplace, and creating a payroll book for each worker based on the labor contract.

The computing device according to an embodiment of the present invention analyzes a user's query, searches for similar cases, and provides it to the user, and can provide information on various labor-related risk factors, labor-related laws, and government subsidy-related information. It is possible to provide a computing device for

In addition, it is possible to quickly respond to user inquiries by searching and reporting similar labor-related cases for user inquiries through the chatbot service. In addition, it is possible to overcome information asymmetry of government subsidies and make good use of them by matching them to workplaces or workers that match the conditions of government subsidies.

On the other hand, the effects obtainable in the present invention are not limited to the above-mentioned effects, and other effects not mentioned will be clearly understood by those of ordinary skill in the art to which the present invention belongs from the following description. will be able

1 is a diagram showing the configuration of an integrated labor management apparatus according to an embodiment of the present invention;
2 is a block diagram showing the configuration of a labor case analysis engine according to an embodiment of the present invention;
3 is a diagram schematically showing the configuration of a machine learning module according to an embodiment of the present invention;
4 is a block diagram showing the configuration of a user service engine according to an embodiment of the present invention;
5 is a block diagram illustrating and describing a computing environment including a computing device suitable for use in example embodiments.

Hereinafter, an embodiment of the present invention will be described in more detail with reference to the accompanying drawings. Embodiments of the present invention may be modified in various forms, and the scope of the present invention should not be construed as being limited to the following embodiments. This embodiment is provided to more completely explain the present invention to those of ordinary skill in the art. Therefore, the shape of the elements in the drawings is exaggerated to emphasize a clearer description.

The configuration of the invention for clarifying the solution to the problem to be solved by the present invention will be described in detail with reference to the accompanying drawings based on a preferred embodiment of the present invention, but the same in assigning reference numbers to the components of the drawings For the components, even if they are on different drawings, the same reference numbers are given, and it is noted in advance that the components of other drawings can be cited when necessary in the description of the drawings.

1 is a diagram showing the configuration of an integrated labor management apparatus according to an embodiment of the present invention.

Referring to FIG. 1 , the labor integrated management apparatus 100 may include a labor case analysis engine 102 , a labor risk prediction engine 104 , and a user service engine 106 .

The labor case analysis engine 102 may collect and analyze labor-related cases. The analyzed information of labor-related cases may be basic data used in the labor integrated management apparatus 100 .

2 is a block diagram showing the configuration of the labor case analysis engine 102 according to an embodiment of the present invention.

Referring to FIG. 2 , the labor case analysis engine 102 may include a data collection module 111 , a data processing module 113 , and a storage module 115 .

In one embodiment, the data collection module 111 , the data processing module 113 , and the storage module 115 are implemented using one or more physically separate devices, or one or more processors or a combination of one or more processors and software. may be implemented, and unlike the illustrated example, specific operations may not be clearly distinguished.

The data collection module 111 may collect labor-related cases. Here, the labor-related cases may refer to cases of previously occurring labor-related cases (eg, unfair dismissal, unfair supply and demand, labor disputes, incidents, etc.). The data collection module 111 may collect labor-related cases prepared by experts in the field of labor (eg, labor attorneys or lawyers). Labor-related cases may include court precedents or decisions of administrative agencies on labor cases. Labor-related cases may be prepared in the form of a document file or text.

In an exemplary embodiment, the data collection module 111 may collect labor-related cases from a website or the like through crawling. The data collection module 111 may collect labor-related cases at a preset period. However, the method of collecting labor-related cases is not limited thereto, and the labor-related cases may be directly input by the manager.

The data processing module 113 may generate labor case analysis information by analyzing the labor-related cases collected by the data collection module 111 . In an exemplary embodiment, the data processing module 113 may extract labor case analysis information from each labor-related case by performing syntax analysis on labor-related cases in the form of documents or texts.

Here, the labor case analysis information includes workplace-related information (for example, business identification information, workplace size, workplace sales, and number of employees, etc.), worker-related information (for example, worker identification information, work details, working period, and type of work), and information related to labor cases.

Here, the labor case-related information may include labor case type information, labor case history information, labor case issue information, and related statute information. The information on the type of labor case may be information on which type of labor case (eg, unfair dismissal, unfair disciplinary action, non-payment of wages, strike, wage dispute, etc.) is the labor-related case. The labor incident history information may be information representing a history of the labor incident (how the labor incident occurred, how it proceeded, and how it was concluded, etc.). The information on the issue in the labor case may be information on the part that has become an issue in the labor case. Information on related laws and regulations may be information about laws (eg, Labor Standards Act, Minimum Wage Act, etc.) or administrative interpretations related to the relevant labor case.

That is, the data processing module 113 may serve to classify and systematize the labor-related cases collected by the data collection module 111 into a form that can be processed by the labor integrated management apparatus 100 .

The storage module 115 may store the labor case analysis information generated by the data processing module 113 . The storage module 115 may match and store each labor-related case and labor case analysis information. Labor case analysis information may be updated whenever new labor-related cases are collected. Also, the storage module 115 may serve as a database of the labor integrated management apparatus 100 . The storage module 115 may store various data registered in the labor integrated management apparatus 100 .

The labor risk prediction engine 104 may predict the labor risk using a machine learning technique. The labor risk prediction engine 104 may generate labor risk management information for a corresponding workplace by inputting labor-related cases, labor case analysis information, workplace-related information, and workplace policy-related information.

The labor risk prediction engine 104 may include an interface module 121 , a policy information management module 123 , and a machine learning module 125 .

In one embodiment, the interface module 121, the policy information management module 123, and the machine learning module 125 are implemented using one or more physically separated devices, or one or more processors or one or more processors and software. It may be implemented by combination, and unlike the illustrated example, it may not be clearly distinguished in specific operation.

The interface module 121 may serve as an interface between the labor case analysis engine 102 and the labor risk prediction engine 104 . In an exemplary embodiment, the interface module 121 may extract labor-related cases and labor case analysis information from the storage module 115 and input them into the machine learning module 125 .

In addition, the interface module 121 may serve as an interface between the labor risk prediction engine 104 and the user service engine 106 . In an exemplary embodiment, the interface module 121 may transmit the labor risk management information output from the machine learning module 125 to the user service engine 106 .

The policy information management module 123 provides business-related information for each business site (eg, business entity identification information, business type, business size, business environment (place of business, facilities installed at the business site, temperature and humidity of the business site, etc.), business history, business sales, and number of employees) can be stored. The policy information management module 123 may collect policy information (workplace policy-related information) related to the corresponding business site based on the business site-related information of each business site. For example, if the relevant workplace is an Urban Railroad Corporation, information related to workplace policies, including laws, policies, and subsidies applicable to the Urban Railroad Corporation, may be collected. The policy information management module 123 may input workplace-related information and workplace policy-related information to the machine learning module 125 .

The machine learning module 125 may generate labor risk management information for a corresponding workplace by inputting labor-related cases, labor case analysis information, workplace-related information, and workplace policy-related information. Here, the labor risk management information may include an unfair dismissal risk index, an illegal supply and demand risk index, a labor dispute risk index, and an accident risk index.

The machine learning module 125 provides an unfair dismissal risk index, an illegal supply and demand risk index, a labor dispute risk index, and an accident risk index when labor-related cases, labor case analysis information, workplace-related information, and workplace policy-related information are input. It may include a machine learning model that is trained to predict In an exemplary embodiment, the machine learning module 125 may include a multi-task learning model. 3 is a diagram schematically showing the configuration of the machine learning module 125 according to an embodiment of the present invention.

Referring to FIG. 3 , the machine learning module 125 may include a first task unit 125a, a second task unit 125b, a third task unit 125c, and a fourth task unit 125d. .

The first task unit 125a may be a machine learning model trained to output an unfair dismissal risk index for a corresponding workplace by inputting labor-related cases, labor case analysis information, workplace-related information, and workplace policy-related information.

The second task unit 125b may be a machine learning model that is trained to output a risk index of fraudulent supply and demand for a corresponding workplace by inputting labor-related cases, labor case analysis information, workplace-related information, and workplace policy-related information.

The third task unit 125c may be a machine learning model trained to output a labor dispute risk index for a corresponding workplace by inputting labor-related cases, labor case analysis information, workplace-related information, and workplace policy-related information.

The fourth task unit 125d may be a machine learning model that is trained to output an accident risk index for a corresponding workplace by inputting labor-related cases, labor case analysis information, workplace-related information, and workplace policy-related information.

Referring back to FIG. 1 , the user service engine 106 may provide corresponding services to the user terminal (not shown) according to various requests or queries received from the user terminal (not shown). Here, the user terminal (not shown) may be a terminal of a workplace or a terminal of a worker.

4 is a block diagram showing the configuration of the user service engine 106 according to an embodiment of the present invention. Referring to FIG. 4 , the user service engine 106 includes a risk index reporting module 131 , an unfair dismissal prevention notification module 133 , an illegal supply and demand prevention notification module 135 , a labor dispute prevention notification module 137 , and an accident It may include a prevention notification module 139 , a labor information notification module 141 , a chatbot service module 143 , a legal search service module 145 , and a labor contract management module 147 .

In one embodiment, the risk index reporting module 131, the unfair dismissal prevention notification module 133, the illegal supply and demand prevention notification module 135, the labor dispute prevention notification module 137, the accident prevention notification module 139, the labor The information notification module 141, the chatbot service module 143, the legal search service module 145, and the labor contract management module 147 are implemented using one or more physically separated devices, or one or more processors or one or more It may be implemented by a combination of a processor and software, and unlike the illustrated example, specific operations may not be clearly distinguished.

The risk index reporting module 131 may receive a reporting request from a user terminal (not shown). Reporting requests include information on business sites (for example, business identification information, business type, business size, business environment (place of business, facilities installed in the business, temperature and humidity, etc.), business history, business sales, and number of employees, etc. ) may be included.

The risk index reporting module 131 may transmit the workplace-related information included in the reporting request to the labor risk prediction engine 104 , and may receive labor risk management information for the workplace from the labor risk prediction engine 104 . Here, the labor risk management information may include an unfair dismissal risk index, an unfair supply and demand risk index, a labor dispute risk index, and an accident risk index. Since the machine learning module 125 of the labor risk prediction engine 104 has already been learned through previous labor-related cases, etc., when business-related information included in the reporting request is input, it responds to labor risk management information. can be printed out.

The risk index reporting module 131 may calculate the risk index of the corresponding operator based on the unfair dismissal risk index, the unfair supply and demand risk index, the labor dispute risk index, and the accident risk index included in the labor risk management information. The risk index reporting module 131 may transmit the risk index reporting including the risk index of the business site to the operator terminal (not shown). In addition, the risk index reporting may include an unfair dismissal risk index, an unfair supply and demand risk index, a labor dispute risk index, and an accident risk index of the workplace.

The unfair dismissal prevention notification module 133 may transmit an unfair dismissal prevention notification to a worker registered in the labor integrated management device 100 . In an exemplary embodiment, when the labor integrated management device 100 registers a worker, worker-related information (eg, worker identification information, work work content, working period, and work type, etc.) and information related to the workplace of the workplace to which the worker is affiliated can be registered.

The unfair dismissal prevention notification module 133 transmits the worker-related information of the registered worker and the workplace-related information of the corresponding business operator to the labor risk prediction engine 104, and the unfair dismissal risk index of the worker from the labor risk prediction engine 104 can receive The unfair dismissal prevention notification module 133 may transmit an unfair dismissal prevention notification to the worker terminal (not shown) of the worker when the unfair dismissal risk index of the worker exceeds a preset standard.

The illegal supply and demand prevention notification module 135 may generate an illegal supply and demand prevention notification based on the illegal supply and demand risk index of the workplace registered in the labor integrated management device 100 . That is, the labor risk prediction engine 104 may calculate an illegal supply and demand risk index for each workplace registered in the labor integrated management device 100 . In this case, when the fraudulent supply and demand risk index exceeds a preset standard, the fraudulent supply and demand prevention notification module 135 may generate an illegal supply and demand prevention notification for the corresponding workplace. The fraudulent supply and demand prevention notification may be transmitted to a server computing device of a related institution.

The labor dispute prevention notification module 137 may generate a labor dispute prevention notification based on the labor dispute risk index between the workplace and the workers registered in the labor integrated management device 100 . That is, the labor risk prediction engine 104 may calculate a labor dispute risk index between each workplace registered in the labor integrated management device 100 and workers working at the workplace. In this case, when the labor dispute risk index exceeds a preset standard, the labor dispute prevention notification module 137 may generate a labor dispute prevention notification to the corresponding workplace and workers.

The accident prevention notification module 139 may generate an accident prevention notification based on the accident risk index for the workplace registered in the labor integrated management device 100 . That is, the labor risk prediction engine 104 may calculate an accident risk index for each workplace registered in the labor integrated management device 100 . In this case, when the accident risk index exceeds a preset criterion, the accident prevention notification module 139 may generate an accident prevention notification for the corresponding workplace. Incident Accident prevention notification may be transmitted to the workplace terminal of the relevant workplace.

The labor information notification module 141 may monitor labor-related laws and policies. When labor-related laws or policies are revised or newly added, the labor information notification module 141 extracts the workplace to which the applicable law or policy is applied, and adds the revised or newly added laws or policies to the terminal of the workplace of the extracted workplace. It is possible to transmit a labor information notification for

The labor information notification module 141 may monitor whether there is a government subsidy matching the workplace or worker registered in the labor integrated management device 100 . That is, the labor information notification module 141 may monitor whether the registered workplace or worker matches the conditions of the government subsidy. When there is a workplace or worker matching the conditions of the government subsidy, the labor information notification module 141 may transmit a labor information notification about the contents of the government subsidy to the terminal of the corresponding workplace or worker.

When a user query is input from a user terminal (not shown), the chatbot service module 143 may answer the user's query. The chatbot service module 143 may search for whether there is a similar case by analyzing the user's query. The chatbot service module 143 may search whether there is a similar case corresponding to the user's query in the labor-related cases collected by the labor case analysis engine 102 .

The chatbot service module 143 may extract each keyword from the user's query and search for similar cases based on the extracted keyword. In addition, the chatbot service module 143 may search for similar cases based on user information (eg, business-related information in the case of a business operator and worker-related information in the case of a worker) that has made a user inquiry. For example, if the user who made the user inquiry is a business operator, similar cases can be searched for based on business history, business type, number of workers, and business environment among business-related information of the business operator.

The chatbot service module 143 may connect the user's query to a labor expert who can consult in real time when similar cases cannot be searched for for the user's query. The chatbot service module 143 may transmit the contents of the consultation on the user's query to the labor case analysis engine 102 as one labor-related case.

When a law-related keyword is input from the user terminal (not shown), the legal search service module 145 may search for a law or policy corresponding to the law-related keyword and transmit it to the user terminal (not illustrated). In an exemplary embodiment, the legal search service module 145 may search for a law or policy corresponding to a law-related keyword among the information collected by the policy information management module 123 , but is not limited thereto.

The labor contract management module 147 may create a labor contract for a worker registered in the labor integrated management device 100 . The labor contract management module 147 may automatically create a labor contract based on the labor contract between the worker and the workplace (eg, working period, employment type, salary, bonus, annual leave, etc.).

In addition, the labor contract management module 147 may create a payroll book based on the labor contract of each worker. The labor contract management module 147 may analyze the working hours in the labor contract and prepare a payroll to pay statutory allowances for overtime work, night work, holiday work, and the like. To this end, the labor contract management module 147 may monitor the attendance status of each worker. In addition, the labor contract management module 147 may transmit a notification prior to the expiration of the contract period based on each worker's labor contract.

According to the disclosed embodiment, by collecting labor-related cases and generating labor risk management information through machine learning technology based on the collected labor-related cases, each workplace or worker manages risks in advance for labor-related risk accidents As a result, it is possible to reduce social costs caused by labor-related disputes or accidents.

In addition, it is possible to quickly respond to user inquiries by searching and reporting similar labor-related cases for user inquiries through the chatbot service. In addition, it is possible to overcome information asymmetry of government subsidies and make good use of them by matching them to workplaces or workers that match the conditions of government subsidies.

In this specification, a module may mean a functional and structural combination of hardware for carrying out the technical idea of the present invention and software for driving the hardware. For example, the "module" may mean a logical unit of a predetermined code and a hardware resource for executing the predetermined code, and does not necessarily mean physically connected code or a single type of hardware.

5 is a block diagram illustrating and describing a computing environment 10 including a computing device suitable for use in example embodiments. In the illustrated embodiment, each component may have different functions and capabilities other than those described below, and may include additional components in addition to those described below.

The illustrated computing environment 10 includes a computing device 12 . In one embodiment, the computing device 12 may be the labor integrated management device 100 .

Computing device 12 includes at least one processor 14 , computer readable storage medium 16 , and communication bus 18 . The processor 14 may cause the computing device 12 to operate in accordance with the exemplary embodiments discussed above. For example, the processor 14 may execute one or more programs stored in the computer-readable storage medium 16 . The one or more programs may include one or more computer-executable instructions that, when executed by the processor 14, configure the computing device 12 to perform operations in accordance with the exemplary embodiment. can be

Computer-readable storage medium 16 is configured to store computer-executable instructions or program code, program data, and/or other suitable form of information. The program 20 stored in the computer-readable storage medium 16 includes a set of instructions executable by the processor 14 . In one embodiment, computer-readable storage medium 16 includes memory (volatile memory, such as random access memory, non-volatile memory, or a suitable combination thereof), one or more magnetic disk storage devices, optical disk storage devices, flash It may be memory devices, other forms of storage medium accessed by computing device 12 and capable of storing desired information, or a suitable combination thereof.

Communication bus 18 interconnects various other components of computing device 12 , including processor 14 and computer readable storage medium 16 .

Computing device 12 may also include one or more input/output interfaces 22 and one or more network communication interfaces 26 that provide interfaces for one or more input/output devices 24 . The input/output interface 22 and the network communication interface 26 are coupled to the communication bus 18 . Input/output device 24 may be coupled to other components of computing device 12 via input/output interface 22 . Exemplary input/output device 24 may include a pointing device (such as a mouse or trackpad), a keyboard, a touch input device (such as a touchpad or touchscreen), a voice or sound input device, various types of sensor devices, and/or imaging devices. input devices and/or output devices such as display devices, printers, speakers and/or network cards. The exemplary input/output device 24 may be included in the computing device 12 as a component constituting the computing device 12 , and may be connected to the computing device 12 as a separate device distinct from the computing device 12 . may be

The above detailed description is illustrative of the present invention. In addition, the above description shows and describes preferred embodiments of the present invention, and the present invention can be used in various other combinations, modifications, and environments. That is, changes or modifications are possible within the scope of the concept of the invention disclosed herein, the scope equivalent to the written disclosure, and/or within the scope of skill or knowledge in the art. The written embodiment describes the best state for implementing the technical idea of the present invention, and various changes required in the specific application field and use of the present invention are possible. Therefore, the detailed description of the present invention is not intended to limit the present invention to the disclosed embodiments. Also, the appended claims should be construed as including other embodiments.

10 Computing Environment
12 computing devices
14 processors
16 computer-readable storage medium
18 communication bus
20 programs
22 input/output interface
24 input/output devices
26 network communication interface
100 integrated labor management device
102 Labor Case Analysis Engine
104 Labor Risk Prediction Engine
106 user service engine
111 Data Acquisition Module
113 data processing module
115 storage module
121 interface module
123 Policy Information Management Module
125 machine learning modules
125a first task unit
125b second task unit
125c third task unit
125d 4th task unit
131 Risk Index Reporting Module
133 Unfair dismissal prevention notification module
135 Illegal supply and demand prevention notification module
137 Labor Dispute Prevention Notification Module
139 Incident Accident Prevention Notification Module
141 Labor Information Notification Module
143 Chatbot service module
145 Legal Search Services Module
147 Labor contract management module

Claims (5)

one or more processors, and
A computing device having a memory to store one or more programs executed by the one or more processors, the computing device comprising:
a labor case analysis engine that collects labor-related cases and generates labor case analysis information by analyzing the collected labor-related cases; and
and a user service engine that provides a service corresponding thereto to the user terminal according to various requests or queries received from the user terminal,
The user service engine is:
Computing device comprising a chatbot service module that, when a user query is input from a user terminal, analyzes the user query, searches whether there is a similar case among the labor-related cases, and transmits the searched similar case to the user terminal . The method according to claim 1,
The user service engine,
Receives a report request including workplace-related information from a user terminal and transmits it to the labor risk prediction engine, and from the labor risk prediction engine, unfair dismissal risk index, unfair supply and demand risk index, labor dispute risk index, and accident Receives labor risk management information including one or more of the risk indices, calculates the risk index of the workplace based on the received labor risk management information, and reports the risk index including the calculated risk index to the user terminal A computing device comprising a risk score reporting module to transmit to. 3. The method according to claim 2,
The user service engine,
an unfair dismissal prevention notification module for generating an unfair dismissal prevention notification when the worker's unfair dismissal risk index received from the labor risk prediction engine exceeds a preset standard;
Illegal supply and demand prevention notification module for generating an illegal supply and demand prevention notification when the illegal supply and demand risk index of the workplace received from the labor risk prediction engine exceeds a preset standard;
a labor dispute prevention notification module for generating a labor dispute prevention notification when the labor dispute risk index between the workplace and the worker received from the labor risk prediction engine exceeds a preset standard; and
Computing device comprising an accident prevention notification module for generating an accident prevention notification when the accident risk index of the workplace received from the labor risk prediction engine exceeds a preset standard. 4. The method according to claim 3,
The user service engine,
When labor-related laws or policies are revised or newly added, the workplace to which the laws or policies are applied is extracted, and labor information notification on the content of the revised or newly added laws or policies is sent to the user terminal of the extracted workplace. , Computing device comprising a labor information notification module that transmits a labor information notification regarding the contents of the government subsidy to a user terminal of a workplace or worker that matches the conditions of government subsidy among previously registered workplaces or workers. 5. The method according to claim 4,
a legal search service module that, when a legal keyword is input from the user terminal, searches for a law or policy corresponding to the law-related keyword and transmits it to the user terminal; and
Computing device comprising a labor contract management module for creating a labor contract based on a labor contract between a previously registered worker and a workplace, and creating a payroll book for each worker based on the labor contract.

Images