KR102474545B1 - Apparatus for integrated management of active injury information and method thereof - Google Patents

Abstract

An active risk information integrated management device and a method thereof are disclosed. The present invention collects source risk information from a pre-selected collection channel, verifies whether the collected risk information is risk information, and further verifies whether the verified risk information is a management item. The present invention refines the additionally verified risk information to standardize according to a preset unified format, applies the standardized risk information to a preset logical model analysis scenario to analyze the type of risk, degree of risk, and grade of risk, and the like, and provides various statistical information provision functions, risk information proactive response functions, risk information reporting functions, blind spot information management functions, and accident investigation result management functions based on the analyzed type of risk, risk information, the grade of risk, and the like. Therefore, it is possible to create a foundation for active product safety management by realizing integrated risk information management, and to realize product safety management at the right time in the right place through analysis and utilization of collected risk information.

Description

Apparatus for integrated management of active injury information and method thereof}

The present invention relates to an active risk information integrated management device and method thereof, and in particular, collects source risk information from a collection channel selected in advance, verifies whether or not risk information is present for the collected risk information, and manages the verified risk information. It additionally verifies the item or not, refines the additionally verified risk information, standardizes it according to a pre-established unified form, and applies the standardized risk information to a pre-set logical model analysis scenario to analyze the type of risk, degree of risk, risk grade, etc. , Active risk information that provides various statistical information based on the analyzed risk type, risk information, risk grade, etc., risk information proactive response function, risk information reporting function, blind spot information management function, accident investigation result management function, etc. It relates to an integrated management device and method thereof.

The Korea Consumer Agency collects information on issues in which harm to life, body or property has occurred or is likely to occur in the process of using or using goods or services by consumers, analyzes the cause, and devise measures to prevent the recurrence of accidents A hazard information system is in operation.

In the case of this risk information system, accident information and recall information generated from various collection channels are not properly collected due to limited information collection channels and operation, and due to the diversity of data formats managed by each collection channel, the collected information It is difficult to manage effectively.

Korean Patent Publication No. 10-2013-0098534 [Title: Living environment risk information providing system and method of providing information on living environment hazards of applications running on mobile terminals]

The purpose of the present invention is to collect source risk information from a pre-selected collection channel, verify whether or not risk information is present for the collected risk information, additionally verify whether or not the verified risk information is a management item, and additionally verify the risk information. are refined and standardized according to a pre-established unified format, and the standardized risk information is applied to a pre-set logic model analysis scenario to analyze the risk type, risk degree, and risk grade, and the analyzed risk type, risk information, risk grade, etc. Based on this, it is to provide an active integrated risk information management device and method that provides various statistical information provision functions, unsafe information pre-response functions, unsafe information reporting functions, blind spot information management functions, and accident investigation result management functions.

An active risk information integrated management device according to an embodiment of the present invention includes a storage unit for storing one or more risk information related to a specific keyword matched to the library collected through one or more preset libraries from one or more previously selected collection channels; And collecting the one or more risk information from the collection channel, verifying the authenticity of the risk information for the collected risk information, further verifying whether or not the verified risk information is a management item, and according to the additional verification result. Manage the verified risk information as management item information or blind spot information, standardize one or more additionally verified risk information according to a pre-set unified format, apply the standardized risk information to a pre-set logical model analysis scenario, A control unit performing an analysis function may be included.

As an example related to the present invention, the collection channel is selected as a result of evaluation grounds considering reliability according to the popularity of the collection channel, activity according to the amount of related articles, ripple effect according to the number of articles viewed, and ease according to whether or not collection is possible. It may include at least one of a server, a government and public institution server, and a social media server.

An active risk information integrated management method according to an embodiment of the present invention includes the steps of collecting, by a control unit, one or more risk information related to a specific keyword matched to the library through one or more preset libraries from one or more collection channels selected in advance. ; verifying, by the control unit, whether or not the collected risk information is genuine; further verifying, by the control unit, whether or not the verified risk information is a management item; managing, by the control unit, the verified risk information as management item information or blind spot information according to an additional verification result; standardizing, by the control unit, one or more additionally verified risk information according to a pre-set unified form; and performing, by the control unit, an analysis function by applying the standardized risk information to a preset logical model analysis scenario.

As an example related to the present invention, the step of verifying the authenticity of the unsafe information for the collected unsafe information includes pre-learning one or more unsafe information related to the specific keyword collected through a media company server or a government or public institution server. A process of performing a learning function as an input value of a risk information verification model and generating information about whether one or more risk information related to the collected specific keyword corresponds to actual risk information according to a result of performing the learning function; and performing a preset pre-processing process on one or more risk information related to the specific keyword collected through a social media server, performing a learning function by using the pre-processed risk information as an input value of the risk information verification model, and learning function. According to the execution result, data verification, accuracy, and F1 score are calculated for the collected risk information, and data verification results, calculated accuracy, calculated F1 score, and collected risk information are databased.

As an example related to the present invention, in the step of additionally verifying whether or not the verified risk information is a management item, when the collected risk information is verified to be risk information, the verified risk information is stored in a preset item library. A second verification can be made whether it is in the included state.

As an example related to the present invention, in the step of managing the verified risk information according to the additional verification result as management item information or blind spot information, the additional verification result indicates that the verified risk information does not correspond to a preset management item. managing the firstly verified hazard information as the blind spot information when the risk information is not verified; and managing the first verified risk information as management item information when the verified risk information corresponds to a preset management item as a result of the additional verification.

As an example related to the present invention, when a statistical information menu is selected from a plurality of menus displayed on the display unit after an inquiry period is input according to a user input, the control unit analyzes the risk information during the inquiry period. Based on the result of the accident investigation, which includes the type of harm, degree of harm and risk grade according to the result, accident information and recall information collected in relation to the above risk information, and blind spot information that has been additionally verified in relation to the above risk information, a new generating statistical information including unsafe information status, cumulative unsafe information status, unsafe information keywords, and unsafe keyword statistics; and controlling, by the control unit, to display the generated statistical information through the display unit.

As an example related to the present invention, when a scenario analysis menu is selected from a plurality of menus displayed on the display unit after an inquiry period is input according to a user input, the control unit analyzes the risk information during the inquiry period. Based on the type of harm, degree of harm and risk grade according to the result, accident investigation results including accident information and recall information collected in relation to the above risk information, and additionally verified blind spot information related to the above risk information, the accident Generating a scenario analysis result including rapidly rising item/product information, overlapping accident type analysis information, overseas recall cause analysis information, and risk assessment status information; and controlling, by the controller, to display the generated scenario analysis result through the display unit.

As an example related to the present invention, when a risk rating evaluation analysis menu is selected from among a plurality of menus displayed on the display unit after an inquiry period is input according to a user input, the control unit determines the risk information during the inquiry period. Based on the accident investigation results including accident information and recall information collected in relation to the risk type, degree of harm, and risk grade according to the analysis result of the above risk information, and additionally verified blind spot information related to the above risk information Generating a risk grade evaluation analysis result including risk grade evaluation information for each item, risk grade evaluation information for each product, risk grade evaluation status information, and risk grade evaluation result inquiry information; and controlling, by the control unit, to display the generated risk level evaluation analysis result through the display unit.

As an example related to the present invention, among a plurality of menus displayed on the display unit after an inquiry period is entered according to a user input, among a hazard information reporting menu, a hazard information proactive response menu, a blind spot information management menu, and an accident investigation result management menu. When any one of the menus is selected, the type, degree and grade of hazard according to the analysis result of the hazard information during the inquiry period, and the accident information and recall collected in relation to the hazard information by the controller Item risk information reporting, item safety management recommendation information, product risk information reporting, and product safety management recommendation information related to the selected menu based on the accident investigation results including information and additionally verified blind spot information related to the above risk information Risk information reporting information including, risk information proactive response information including item abnormal symptom proactive response information and product abnormal symptom proactive response information, blind spot information, risk type, risk degree and risk corresponding to the blind spot information Generating any one of accident investigation result management information including grade and accident investigation result status; and the generated hazard information reporting information, the generated hazard information proactive response information, the blind spot information, the hazard type, hazard degree, and hazard grade corresponding to the blind spot information, The method may further include controlling any one of accident investigation result management information to be displayed through the display unit.

The present invention collects source risk information from a pre-selected collection channel, verifies whether or not risk information is present for the collected risk information, additionally verifies whether or not the verified risk information is a management item, and refines the additionally verified risk information. standardized according to a pre-established unified format, and the standardized risk information is applied to a pre-set logic model analysis scenario to analyze the type, degree of risk, and grade of risk, and based on the type of risk analyzed, information, and grade of risk By providing a variety of statistical information provision function, risk information preemptive response function, risk information reporting function, blind spot information management function, and accident investigation result management function, etc. There is an effect of realizing product safety management in the right place at the right time through the analysis and utilization of collected risk information.

1 is a block diagram showing the configuration of an active risk information integrated management device according to an embodiment of the present invention.
2 is a diagram showing an example of an analysis scenario of a logical model of a recently rising accident item according to an embodiment of the present invention.
3 is a diagram showing an example of a logic model analysis scenario of frequently occurring accident types for each item according to an embodiment of the present invention.
4 is a diagram showing an example of a logical model analysis scenario for each item of overseas recall cause according to an embodiment of the present invention.
5 is a diagram showing an example of an item group risk assessment logic model analysis scenario according to an embodiment of the present invention.
6 is a flowchart illustrating a method for integrated management of active risk information according to an embodiment of the present invention.
7 is a diagram illustrating an example of statistical information provided according to an analysis result according to an embodiment of the present invention.
8 is a diagram illustrating an example of a report provided according to an analysis result according to an embodiment of the present invention.

It should be noted that technical terms used in the present invention are only used to describe specific embodiments and are not intended to limit the present invention. In addition, technical terms used in the present invention should be interpreted in terms commonly understood by those of ordinary skill in the art to which the present invention belongs, unless specifically defined otherwise in the present invention, and are excessively inclusive. It should not be interpreted in a positive sense or in an excessively reduced sense. In addition, when the technical terms used in the present invention are erroneous technical terms that do not accurately express the spirit of the present invention, they should be replaced with technical terms that those skilled in the art can correctly understand. In addition, general terms used in the present invention should be interpreted as defined in advance or according to context, and should not be interpreted in an excessively reduced sense.

Also, singular expressions used in the present invention include plural expressions unless the context clearly dictates otherwise. Terms such as "consisting of" or "comprising" in the present invention should not be construed as necessarily including all of the various elements or steps described in the invention, and some of the elements or steps may not be included. It should be construed that it may, or may further include additional components or steps.

In addition, terms including ordinal numbers such as first and second used in the present invention may be used to describe components, but components should not be limited by the terms. Terms are used only to distinguish one component from another. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element, without departing from the scope of the present invention.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings, but the same or similar components are given the same reference numerals regardless of reference numerals, and redundant description thereof will be omitted.

In addition, in describing the present invention, if it is determined that a detailed description of a related known technology may obscure the gist of the present invention, the detailed description will be omitted. In addition, it should be noted that the accompanying drawings are only for easily understanding the spirit of the present invention, and should not be construed as limiting the spirit of the present invention by the accompanying drawings.

1 is a block diagram showing the configuration of an active risk information integrated management device 100 according to an embodiment of the present invention.

As shown in FIG. 1, the active risk information integrated management device 100 is composed of a communication unit 110, a storage unit 120, a display unit 130, a voice output unit 140, and a control unit 150. Not all of the components of the active risk information integrated management device 100 shown in FIG. 1 are essential components, and the active risk information integrated management device 100 is implemented by more components than those shown in FIG. It may be, or the active risk information integrated management device 100 may be implemented with fewer components.

The active risk information integrated management device 100 includes a smart phone, a portable terminal, a mobile terminal, a foldable terminal, and a personal digital assistant (PDA). , PMP (Portable Multimedia Player) terminal, telematics terminal, navigation terminal, personal computer, notebook computer, slate PC, tablet PC, ultrabook , wearable device (including, for example, a watch type terminal (Smartwatch), a glass type terminal (Smart Glass), a Head Mounted Display (HMD), etc.), a Wibro terminal, an IPTV (Internet Protocol Television) terminal, It can be applied to various terminals such as smart TVs, digital broadcasting terminals, AVN (Audio Video Navigation) terminals, A/V (Audio/Video) systems, flexible terminals, digital signage devices, and the like.

In addition, the active risk information integrated management device 100 may be applied to a server, a cloud server, and the like.

The communication unit 110 communicates with any internal component or at least one external terminal through a wired/wireless communication network. At this time, the external arbitrary terminal may include a server (not shown) corresponding to the acquisition channel, another terminal (not shown), and the like. Here, wireless Internet technologies include Wireless LAN (WLAN), DLNA (Digital Living Network Alliance), Wireless Broadband (Wibro), WiMAX (World Interoperability for Microwave Access: Wimax), HSDPA (High Speed Downlink Packet Access) ), High Speed Uplink Packet Access (HSUPA), IEEE 802.16, Long Term Evolution (LTE), Long Term Evolution-Advanced (LTE-A), Wireless Mobile Broadband Service (WMBS), etc. , and the communication unit 110 transmits and receives data according to at least one wireless Internet technology within a range including Internet technologies not listed above. In addition, short-range communication technologies include Bluetooth, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, and Near Field Communication (NFC). , Ultra Sound Communication (USC), Visible Light Communication (VLC), Wi-Fi, Wi-Fi Direct, and the like may be included. In addition, wired communication technologies may include power line communication (PLC), USB communication, Ethernet, serial communication, optical/coaxial cables, and the like.

In addition, the communication unit 110 may mutually transmit information with an arbitrary terminal through a Universal Serial Bus (USB).

In addition, the communication unit 110 complies with technical standards or communication methods for mobile communication (eg, Global System for Mobile communication (GSM), Code Division Multi Access (CDMA), Code Division Multi Access 2000 (CDMA2000), EV) -DO(Enhanced Voice-Data Optimized or Enhanced Voice-Data Only), WCDMA(Wideband CDMA), HSDPA(High Speed Downlink Packet Access), HSUPA(High Speed Uplink Packet Access), LTE(Long Term Evolution), LTE-A (Long Term Evolution-Advanced), etc.) to transmit and receive radio signals with a base station, the server, and other terminals on a mobile communication network.

In addition, the communication unit 110 collects (or receives) one or more source hazard information (or source data/original source data/raw data) from the server under the control of the controller 150.

The storage unit 120 stores various user interfaces (UI), graphic user interfaces (GUI), and the like.

In addition, the storage unit 120 stores data and programs necessary for the active risk information integrated management device 100 to operate.

That is, the storage unit 120 includes a plurality of application programs (applications) running in the device 100 for integrated management of active risk information and data for operation of the device 100 for integrated management of active risk information. , commands can be stored. At least some of these application programs may be downloaded from an external server through wireless communication. In addition, at least some of these application programs may exist on the active integrated risk information management device 100 from the time of shipment for basic functions of the active integrated risk information management device 100 . On the other hand, the application program is stored in the storage unit 120, installed in the active unified risk information management device 100, and the operation (or function) of the active unsafe information integrated management device 100 by the control unit 150. can be driven to do.

In addition, the storage unit 120 may be a flash memory type, a hard disk type, a multimedia card micro type, or a card type memory (eg, SD or XD). memory, etc.), magnetic memory, magnetic disk, optical disk, RAM (Random Access Memory: RAM), SRAM (Static Random Access Memory), ROM (Read-Only Memory: ROM), EEPROM (Electrically Erasable Programmable Read-Only Memory), It may include at least one storage medium of PROM (Programmable Read-Only Memory). In addition, the active risk information integrated management device 100 may operate a web storage that performs the storage function of the storage unit 120 on the Internet, or may operate in relation to the web storage.

In addition, the storage unit 120 stores the collected (or received) one or more source hazard information (or source data/original source data/raw data) under the control of the controller 150.

The display unit (or display unit) 130 may display various contents such as various menu screens using a user interface and/or a graphic user interface stored in the storage unit 120 under the control of the control unit 150. have. Here, the content displayed on the display unit 130 includes various text or image data (including various information data) and a menu screen including data such as icons, list menus, and combo boxes. Also, the display unit 130 may be a touch screen.

In addition, the display unit 130 may include a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), and a flexible display. (Flexible Display), a three-dimensional display (3D Display), e-ink display (e-ink display), it may include at least one of LED (Light Emitting Diode).

In addition, the display unit 130 displays one or more of the collected (or received) source hazard information (or source data/original source data/raw data) under the control of the controller 150.

The audio output unit 140 outputs audio information included in a signal that has been subjected to predetermined signal processing by the control unit 150 . Here, the audio output unit 140 may include a receiver, a speaker, a buzzer, and the like.

In addition, the voice output unit 140 outputs a guide voice generated by the control unit 150 .

In addition, the audio output unit 140 provides audio information (or sound information), etc.

The controller (or microcontroller unit (MCU)) 150 executes overall control functions of the active risk information integrated management device 100 .

In addition, the control unit 150 executes overall control functions of the active risk information integrated management device 100 using programs and data stored in the storage unit 120 . The controller 150 may include RAM, ROM, CPU, GPU, and a bus, and the RAM, ROM, CPU, and GPU may be connected to each other through a bus. The CPU may access the storage unit 120 and perform booting using the O/S stored in the storage unit 120, and use various programs, contents, data, etc. stored in the storage unit 120. It can perform various operations.

In addition, the control unit 150 utilizes a plurality of previously collected training data sets as continuous machine learning (or deep learning) data. Here, the input dataset for machine learning (or training dataset) is divided into a training set and a test set at a preset ratio (eg 7:3), and training and testing functions are performed. can be performed. In addition, the input data set for machine learning includes input values collected later, other input values, and the like. In addition, the output dataset for machine learning includes information on whether one or more risk information related to a specific keyword corresponds to actual risk information.

That is, the control unit 150 provides risk information about a corresponding input value, other input values, etc. in relation to specific raw data for a risk information verification model (or Support Vector Machine: SVM) through preset training data. It performs a learning function to check the authenticity of the information, etc. At this time, the server 200 stores raw data (including, for example, learning data, etc.) in parallel and distributedly, and unstructured data and structured data included in the stored raw data (or including learning data, etc.) Refining data, semi-structured data, performing preprocessing including classification as meta data, performing analysis including data mining on the preprocessed data, and performing at least one type of machine learning. Based on this, big data can be built by learning, training, and testing. At this time, at least one type of machine learning includes supervised learning, semi-supervised learning, unsupervised learning, reinforcement learning, and deep reinforcement learning. It may consist of any one or a combination of at least one of them.

In this way, the server 200 performs a learning function on the hazard information verification model in the form of a neural network through the learning data and the like.

In addition, the control unit 150 may provide one or more risk information (or source risk information/related) related to a specific keyword matched (or mapped/corresponding) to a corresponding library through one or more preset libraries from one or more preselected collection channels. source data). At this time, the control unit 150 uses open API (OPENAPI), web crawling (including, for example, Lxml-based web crawling, etc.), CSV (comma-separated values) information, etc. You can also collect information. Here, the collection channel is selected as a result of the evaluation basis considering reliability according to the popularity of the collection channel, activity according to the amount of related articles, ripple according to the number of views of articles, and ease according to whether or not collection is possible. Including institutional servers, social media servers, etc. In addition, media companies corresponding to the media server include Yonhap News, JoongAng Ilbo, KBS, MBC, YTN, SBS, JTBC, Chosun Ilbo, Kyunghyang Shinmun, and Hankyoreh Newspaper. In addition, government/public institutions corresponding to the government and public institution servers include the Korea Consumer Agency, the National Agency for Technology and Standards, and the like. In addition, social media corresponding to the social media server (or content provider corresponding to the content providing server) includes Twitter, YouTube, Facebook, Instagram, and Wikipedia. Include etc.

At this time, the library includes collection range (eg, managed items, unmanaged items, etc.), collection channels (eg, media, government and public institutions, including servers such as social media), collection information (eg, accident information). , recall information, etc.), and includes information such as search terms. Here, the management items are products subject to the 'Safety Management Act for Electrical Appliances and Household Appliances' and the 'Special Act on Safety of Children's Products' managed by the National Agency for Technology and Standards of the Ministry of Trade, Industry and Energy (eg, electrical appliances, household items, children's products, etc.) includes In addition, the above unmanaged items are items managed by the National Agency for Technology and Standards and items managed according to the relevant laws of other ministries (e.g., Ministry of Food and Drug Safety's 'Cosmetics Act', 'Medical Devices Act', etc., Ministry of Environment's 'Lifestyle Chemical Products and Including 'Act on the Safety Management of Biological Products', etc.), including blind spot products. In addition, the media companies include blind spot products excluding items managed by the National Agency for Technology and Standards and items managed according to the relevant laws and regulations of other ministries. In addition, the government and public institutions include homepages and systems related to unsafe information provided by government and public institutions having the highest public confidence in information. In addition, the social media includes the fastest collection channel that has great scalability and ripple effect of information and can be shared in real time. In addition, the accident information includes hazard information from the Korea Consumer Agency, hazard information generated by media outlets and social media, and includes date, item, age, cause of hazard, location of hazard, and the like. In addition, the recall information includes domestic/overseas recall information from the Product Safety Information Center of the National Agency for Technology and Standards, and includes harm symptoms, harmful parts, items, manufacturing countries, recall causes, and the like.

At this time, the control unit 150 automatically inputs (or stores/registers) accident information, recall information, etc. related to the collected hazard information to a database (or web system) (not shown) as an accident investigation result, and reports/receives information items, accident information items, damage information items, certification information items, product information items, informant information items, accident information items, business information items, manufacturing/import/sales information items, purchase/use information items, other information items, It can be managed with similar accident case items, operator accident cause analysis items, operator action items, accident target selection items, field investigation items, defect investigation decision items, defect investigation items, defect determination items, administrative action items, etc.

In this way, the control unit 150 analyzes risk and item information, recognizes a specific keyword corresponding to the library, and collects related source risk information.

In addition, the controller 150 verifies whether or not the collected risk information is authentic.

That is, the control unit 150 converts one or more hazard information related to the specific keyword collected through the press server server, the government or public institution server, etc. into a pre-learned risk information verification model (or support vector machine, support vector machine). : Perform a learning function (or machine learning/artificial intelligence/deep learning) as an input value of SVM), and determine whether one or more risk information related to the specific keyword collected according to the result of performing the learning function corresponds to actual risk information Generates (or calculates/calculates) information on whether or not At this time, the control unit 150 performs a learning function by using the unsafe information collected through the press server, the government and public institution servers, etc. as an input value of the unsafe information verification model, and performs a learning function in advance according to the result of performing the learning function. Extract set pattern patterns, identify accident articles based on the extracted pattern patterns, remove advertisements and redundant articles from the identified accident articles, and verify data (or verify authenticity) according to the identified accident articles And accuracy is calculated, and data verification results (or authenticity/information of risk information), calculated accuracy, and collected risk information are databased.

For example, the control unit 150 controls the collected hazard information (for example, the Apple Watch SE explosion (overheating) problem is not global, but it seems to be a problem that occurs only in Korea? The unusual thing is that it is not a battery, but it is designed to explode near a haptic motor Based on the results of performing the learning function (for example, Apple Watch + Explosion (product explosion-related to product explosion), etc.) Create information indicating that risk information corresponds to actual risk information.

In addition, the control unit 150 performs a pre-set pre-processing process (eg, including homonyms, spelling discrimination, semantics, etc.) on one or more hazard information related to the specific keyword collected through the social media server, etc. , The preprocessed risk information, etc. is used as the input value of the risk information verification model to perform the learning function, and data verification (or authenticity verification), accuracy and F1 score for the collected risk information according to the learning function execution result Calculate data verification results, calculated accuracy, calculated F1 score, and collected risk information into a database.

For example, the control unit 150 targets the collected harmful information (for example, the popularity exploded when it was uploaded to the Apple Watch 3 carrot that my husband used a while ago... The market price was 150,000 won, but I posted it at 90,000 won...) and performs other learning functions, and based on the results of performing other learning functions (eg Apple Watch + Explosion (explosion of popularity - regardless of product explosion), etc.), the collected hazard information corresponds to actual hazard information. It generates information indicating that it does not.

In this way, the control unit 150 removes patterns according to the nature of news and overlapping advertising articles for the unsafe information collected through the press server, the government and public institution servers, etc., and then performs a verification function for the collected unsafe information. It is possible to perform a primary verification function for the collected hazard information by reflecting word spelling, new word learning, etc. for the hazard information collected through the social media server, etc.

In addition, as a result of the verification, when it is verified (or confirmed/determined) that the collected unsafe information is not unsafe information, the controller 150 transmits information indicating that the collected unsafe information is not unsafe information to the display unit ( 130) and/or output through the audio output unit 140, and the entire process ends.

In addition, the control unit 150 additionally verifies whether or not the verified risk information is a management item.

That is, as a result of the verification, when it is verified (or confirmed/determined) that the collected unsafe information is unsafe information, the control unit 150 determines the hazardous location, cause, and part of the verified unsafe information for each item set in advance. Secondary verification (or judgment/confirmation) is performed whether or not the verified risk information (or the product corresponding to the verified risk information) is included in the item library (or unsafe information library) including symptoms. Here, the item library includes hazard locations, causes, symptoms of parts, etc. for each item related to products subject to the 'Electrical Appliances and Household Products Safety Management Act' and the 'Special Act on Children's Product Safety' managed by the National Agency for Technology and Standards of the Ministry of Trade, Industry and Energy. do.

As a result of the additional verification, if the verified risk information does not correspond to a preset management item, the controller 150 manages the first verified risk information (or the collected source risk information) as blind spot information ( or derived/created). Here, the blind spot information includes information indicating that the collected hazard information does not correspond to a preset management item, but is verified as hazard information.

That is, as a result of the additional verification, when the verified unsafe information (or a product corresponding to the verified unsafe information) is not included in the preset item library, the controller 150 determines that the first verified unsafe information is Although it does not correspond to a preset management item, it is determined that it corresponds to hazard information, and the first verified hazard information is managed as the blind spot information.

In this way, the control unit 150 can derive and manage blind spot information for a product (or a product corresponding to the risk information) that is not a standardized item registered as a management item.

For example, when the collected unsafe information includes 'iPhone 13 + battery + ignition' in a state where 'cell phone> battery> ignition' is included in the item library, the controller 150 controls the collected unsafe information (including 'iPhone 13+battery+ignition') is not directly included in the item library, but has been verified as hazard information, so the collected hazard information is derived and managed as blind spot information.

In addition, as a result of the additional verification, if the verified risk information corresponds to a preset management item, the controller 150 manages the first verified risk information (or the collected source risk information) as management item information. (or derived/generated). Here, the management item information includes information indicating that the collected risk information is information corresponding to a previously set management item in a state where the risk information is verified as risk information.

That is, as a result of the additional verification, when the verified unsafe information (or a product corresponding to the verified unsafe information) is included in the preset item library, the controller 150 determines that the first verified unsafe information is stored in advance. It is determined that it corresponds to the set management item and risk information, and the first verified risk information is managed as the management item information.

In addition, the controller 150 controls the first and secondly verified one or more source hazard information (or the additionally verified one or more source hazard information/the secondarily verified one or more source hazard information/the blind spot information or One or more source risk information managed by the management item information) is standardized according to a pre-set unified form. Here, the pre-set unified form (or standardized form) is a hazard symptom, a hazard site, a hazard location, a hazard cause, an item (or detailed item), an occurrence date (or a start date), a manufacturer name (or importer name), age, It includes gender, etc., and may be in a state in which weights are set (or distributed) for each item. In addition, the adverse symptoms include burns, concussions and bruises, skin and subcutaneous tissue damage, muscle, bone and ligament damage, whole body damage, damage to internal organs of the body, and other injuries. In addition, the hazardous parts include head and face, neck and shoulders, torso, arms and hands, buttocks, legs and feet, inside the body, and other hazardous parts. In addition, the above hazardous places (or occurrence places) include houses, shopping facilities, lodging and restaurants, other commercial facilities, medical service facilities, educational facilities, sports/leisure facilities, roads, sidewalks, transportation facilities, leisure, cultural and amusement facilities, Includes religious and cultural facilities, industrial and construction areas, public facilities, welfare and elderly care facilities, agricultural, fishery and livestock production areas, nature and related facilities, and others. In addition, the hazard causes include physical shock, product-related, food and foreign substances, skin-related, medical procedures and drugs, electricity and chemical substances, fire, smoke, overheating, gas, and others.

That is, the control unit 150 controls the first and secondly verified one or more source hazard information (or the additionally verified one or more source hazard information/the secondly verified one or more source hazard information/the blind spot information or One or more sources of risk information managed by the management item information) according to the unified form, including symptoms of harm, hazardous parts, hazardous locations, causes of harm, items (or detailed items), occurrence date (or start date), manufacturer name (or Name of importer), age, gender, etc. are standardized.

In this way, in order to solve the problem that the form of information such as terminology and classification system used in each collection channel is different, the control unit 150 refines the source risk information verified through the first and second rounds to form a unified form. Convert to and process.

In addition, the control unit 150 applies the standardized risk information (or standardized verified source data) to a preset logical model analysis scenario to analyze the risk type, risk degree, risk grade, etc. (or perform an analysis function). do). Here, the logical model analysis scenario includes a recent rapid rise accident item logical model analysis scenario, a frequently occurring accident type logical model analysis scenario for each item, a logical model analysis scenario for overseas recall causes for each item, and a risk assessment logic model analysis scenario for each product group. At this time, the control unit 150 may analyze the standardized hazard information as a target risk grade in consideration of a preset frequency grade and severity grade.

In addition, the logical model analysis scenario includes a definition item for defining a logical model, a utilization information item for using at least one of accident information and recall information, an analysis method item for explaining an analysis method, and a correspondence for explaining a response plan. It consists of plan items. In addition, the above countermeasure items include management before product release (eg, establishment of unmanaged product safety standards, review of revision of safety standards, etc.), management information after product release (eg, monitoring of illegal defective products, safety investigation of distributed products, accidents, etc.) product cause investigation, etc.), product safety foundation creation information (eg, consumer safety advisory, education and publicity, etc.), etc.

In addition, the recent rapid rise accident item logic model analysis scenario (or accident item logic model analysis scenario / accident item logic model analysis scenario in which the ranking has risen to a level higher than a preset rank within a preset period) is a scenario in which the occurrence of accidents of a certain item increases in a short period of time. In this case, it is a scenario in which causes are analyzed for the increase in sales volume of the product, expansion of the usage environment, consumer misuse/use and negligence.

That is, as shown in FIG. 2, the scenario for analyzing the logical model of the recent rapid increase accident item is a scenario for selecting a subject of intensive management for continuous monitoring if the frequency of occurrence of a similar accident of the same item is high in a certain period of time. For example, the standardized risk according to the analysis method (for example, the number of accidents is determined as an item with a rapid increase in the number of accidents during a set period compared to the comparison period) using accident information such as date, item, and number of accidents) Analyze information and provide countermeasures based on the analysis results (for example, reviewing distribution product safety investigation, cause of accident product investigation, issuance of consumer safety advisory, etc. if it is determined to be an item with a recent rapid increase in accidents).

In addition, the accident type logic model analysis scenario that frequently occurs for each item is a scenario in which causes are analyzed for cases where the same accident repeatedly occurs in a single item, consumer misuse/use and negligence, and product defects.

That is, as shown in FIG. 3, the frequently occurring accident type logic model analysis scenario for each item is a scenario for preventing the occurrence of an accident of a corresponding item by analyzing a frequently occurring accident type. accident information such as age, cause of harm, harm symptom, etc.) according to the analysis method (for example, by selecting the top item with a high number of accidents among the target items and analyzing the type of accident with a high frequency of occurrence), the standardized Analyze risk information, respond to the results of the analysis (e.g., consumer carelessness or misuse/usage accident types are issued consumer safety warnings or expand awareness through education and publicity, and accident types caused by product problems are illegal / Review and respond to defective product monitoring and distribution product safety investigation).

In addition, the logical model analysis scenario of the overseas recall cause for each item is a scenario for analyzing the cause of recall and related trends occurring abroad.

That is, as shown in FIG. 4, the overseas recall cause logic model analysis scenario for each item is used as a scenario for analyzing the cause of recall occurring overseas to identify potential risks and strengthening safety management of domestic distribution products. Using information (including recall information such as item, country of manufacture/import, recall cause, etc.), analysis method (for example, selecting the top item with the highest number of recalls among target items and analyzing detailed recall causes) Accordingly, the standardized risk information is analyzed, and countermeasures based on the analysis results are provided (for example, monitoring illegal/defective products for items similar to those with frequent recalls and reviewing whether to conduct safety investigations on distributed products).

In addition, the item group risk assessment logic model analysis scenario is a scenario in which risk information occurring for each item is quantitatively evaluated.

That is, as shown in FIG. 5, the item group risk assessment logic model analysis scenario is a scenario for comprehensive risk assessment using accident and recall information of the item, and utilization information (eg item, age) , including accident information and recall information such as cause of hazard, location of hazard, symptom of harm, hazard part, item, etc.) Deriving high-risk items with a high index), analyze the standardized risk information, and respond according to the analysis results (for example, for high-risk items with high risks, review the revision of safety standards and provide safety education and publicity to consumers) and provide response review necessary for follow-up management).

As such, the control unit 150 may establish a specific logic model analysis scenario capable of product safety management and policy utilization, and provide a statistical model for analyzing the degree of harm by using necessary data.

For example, the control unit 150 calculates an item × cause × hazard information for the last 6 months (time series) of 6 to 12 years old (age) with a high frequency of accidents among fire accidents (hazard causes) of kickboards (items). A statistical model that can simultaneously analyze age × time series can be provided.

In addition, the control unit 150 determines the hazard type, degree of hazard, risk grade, etc. according to the analysis result of the hazard information (or related to the analyzed standardized hazard information) and accident information collected in relation to the hazard information. Based on accident investigation results including recall information and additionally verified blind spot information related to the risk information, various statistical information provision function, scenario analysis result provision function, risk grade evaluation analysis function, and risk information reporting function , risk information pre-response function, blind spot information management function, accident investigation result management function, etc. are provided.

That is, when a search period is input (or set) according to user input (or user selection/touch/control) and then any one of the plurality of menus displayed on the display unit 130 is selected, the control unit 150 ) performs a function corresponding to the selected menu based on one or more hazard information related to the inquiry period, and displays (or outputs) the result of performing the corresponding function on the display unit 130. Here, the plurality of menus provide statistical information menus (or items/buttons) for providing statistical information for each item such as electrical appliances, household items, and children's products during the inquiry period, and scenario analysis results during the inquiry period. scenario analysis menu to provide risk rating information by item/product during the inquiry period, risk rating analysis menu to provide risk rating information by item/product during the inquiry period, and report (or report) on risk information by item/product during the inquiry period Hazard information reporting menu, unsafe information proactive response menu to provide information on abnormal symptoms by item/product during the inquiry period, blind spot information management menu to provide blind spot information by item/product during the inquiry period , Incident investigation result management menu, etc. are included to provide accident investigation result information by item/product during the inquiry period.

In addition, when the statistical information menu is selected from among a plurality of menus displayed on the display unit 130 after an inquiry period is entered according to a user input, the control unit 150 determines the risk information for the corresponding hazard information during the inquiry period. Accident investigation results, including accident information collected in relation to the hazard information, recall information, etc., and additionally verified blind spot information in relation to the hazard information, etc. according to the analysis result Statistical information including information such as new unsafe information status, cumulative unsafe information status, unsafe information keywords, and unsafe keyword statistics is generated based on the basis, and the generated statistical information is displayed on the display unit 130 and/or the audio output unit 140. ) through the output.

In addition, when the scenario analysis menu is selected from among a plurality of menus displayed on the display unit 130 after an inquiry period is input according to a user input, the control unit 150 determines the risk information for the corresponding hazard information during the inquiry period. Accident investigation results, including accident information collected in relation to the hazard information, recall information, etc., and additionally verified blind spot information in relation to the hazard information, etc. according to the analysis result Based on this, a scenario analysis result including item/product information with a rapid rise in accidents, duplicate accident type analysis information, overseas recall cause analysis information, risk assessment status information, etc. is generated, and the generated scenario analysis result is displayed on the display unit 130 and / or output through the audio output unit 140.

In addition, when the risk level evaluation analysis menu is selected from among a plurality of menus displayed on the display unit 130 after an inquiry period is entered according to a user input, the control unit 150 displays corresponding risk information during the inquiry period. Accident investigation results, including accident information collected in relation to the hazard information, recall information, etc., and additionally verified blind spot information in relation to the hazard information Based on the above, the risk grade evaluation analysis result including risk grade evaluation information by item, risk grade evaluation information by product, risk grade evaluation status information, risk grade evaluation result inquiry information, etc. is generated, and the generated risk grade evaluation analysis result is output through the display unit 130 and/or the audio output unit 140.

In addition, when the unsafe information reporting menu is selected from among a plurality of menus displayed on the display unit 130 after an inquiry period is input according to a user input, the control unit 150 determines the corresponding unsafe information during the inquiry period. Accident investigation results including accident information collected in relation to the risk information, recall information, etc. according to the analysis result of risk type, degree of harm, risk grade, etc., additionally verified blind spot information related to the risk information, etc. Based on this, risk information reporting information including item risk information reporting, item safety management recommendation information, product risk information reporting, product safety management recommendation information, etc. is generated, and the generated risk information reporting information is transmitted to the display unit 130 and / or output through the audio output unit 140.

In addition, when the risk information proactive response menu is selected from among a plurality of menus displayed on the display unit 130 after an inquiry period is entered according to a user input, the control unit 150 displays the corresponding risk information during the inquiry period. Accident investigation results, including accident information collected in relation to the hazard information, recall information, etc., and additionally verified blind spot information in relation to the hazard information Based on the above, risk information proactive response information including item abnormal symptom proactive response information, product abnormal symptom proactive response information, etc. is generated, and the generated unsafe information proactive response information is displayed on the display unit 130 and/or the audio output. It is output through the unit 140.

In addition, when the blind spot information management menu is selected from among a plurality of menus displayed on the display unit 130 after an inquiry period is entered according to a user input, the control unit 150 displays the hazard information during the inquiry period. Accident investigation results, including accident information collected in relation to the hazard information, recall information, etc., and additionally verified blind spot information in relation to the hazard information Blind spot information (or blind spot risk information), risk type, degree of harm, risk grade, etc. corresponding to the blind spot information, etc. The type, degree of harm, grade of harm, etc. are output through the display unit 130 and/or the audio output unit 140.

In addition, when the accident investigation result management menu is selected from among a plurality of menus displayed on the display unit 130 after an inquiry period is entered according to a user input, the control unit 150 displays the hazard information during the inquiry period. Accident investigation results, including accident information collected in relation to the hazard information, recall information, etc., and additionally verified blind spot information in relation to the hazard information It performs an accident investigation result input function based on, etc., generates accident investigation result management information including the accident investigation result status, etc., and transmits the generated accident investigation result management information to the display unit 130 and/or the audio output. It is output through the unit 140.

In addition, the control unit 150 provides the statistical information providing function, the scenario analysis result providing function, the risk level evaluation and analysis function, the risk information reporting function, the risk information proactive response function, the blind spot information management function, and the accident The generated statistical information, the generated scenario analysis result, the generated risk rating evaluation analysis result, the generated risk information reporting information, the generated risk information proactive response information, and the corresponding square according to the execution of the survey result management function, etc. The hazard type, hazard degree, hazard grade, and the generated accident investigation result management information corresponding to zone information may be transmitted to other terminals (not shown) possessed by a pre-registered manager through the communication unit 110.

In addition, other terminals possessed by the manager provide the statistical information according to execution of various functions provided in real time from the corresponding active risk information integrated management device 100, the scenario analysis result, the risk grade evaluation analysis result, and the risk information reporting. It is possible to receive and display information, risk information advance response information, risk type, risk degree, risk grade corresponding to the corresponding blind spot information, and the accident investigation result management information.

Accordingly, the manager can check information related to various risk information collected from the corresponding active risk information integrated management device 100 remotely.

In addition, the control unit 150 utilizes (or applies) the risk type, degree of risk, and grade of risk according to the analysis result of the corresponding risk information to the product safety policy.

That is, the control unit 150 outputs a countermeasure provided in the corresponding logical model analysis scenario through the display unit 130 and/or the audio output unit 140 according to the analysis result, and the corresponding solution according to the analysis result Use the countermeasures provided in the logical model analysis scenario for product safety policies. At this time, the product safety policy (or countermeasure) includes management information before product release (eg, establishment of unmanaged product safety standards, review of revision of safety standards, etc.), management information after product release (eg, illegal defective product monitoring, distribution product safety investigation, accident product cause investigation, etc.), product safety foundation creation information (eg, consumer safety advisory, education and publicity, etc. included), etc.

In this way, the control unit 150 may provide collection and analysis, management before product release, management after product release, foundation creation, and the like. Here, the collection and analysis includes collecting consumer accident information and product recall information into a single database, analyzing the data, and using the data as public information in the field of product safety. In addition, the management prior to product release reviews the establishment and management of safety standards for non-managed products (e.g. convergence/new technology products), revision of safety standards for existing products, and contents for institutional improvement such as review of items. include In addition, the post-launch management includes the selection of the primary item to conduct illegal/defective product monitoring (imported products), distribution product safety investigation, accident product cause investigation, etc. to strengthen market surveillance. In addition, the foundation creation (or product safety foundation creation) includes content for spreading awareness of product safety by issuing consumer safety warnings or providing education and promotional materials to consumers.

In addition, the control unit 150 controls the risk type, risk degree, risk information corresponding to the statistical information, the scenario analysis result, the risk grade evaluation analysis result, the risk information reporting information, the risk information proactive response information, the corresponding blind spot information, Risk ratings, accident investigation result management information, etc. may be linked to a product safety information portal provided by the product safety portal system (not shown) of the National Agency for Technology and Standards.

One or more functions performed in the embodiment of the present invention may be performed by pre-installing a dedicated app provided by the server or the like in the device 100 for integrated management of active risk information, and using the installed dedicated app.

In addition, one or more functions performed in the embodiment of the present invention may be performed not only through the dedicated app, but also through a website provided by the server or the like, in addition to the dedicated app.

In this way, source risk information is collected from a collection channel selected in advance, whether or not risk information is verified for the collected risk information, whether or not it is a management item for the verified risk information is additionally verified, and additionally verified risk information is refined. standardized according to a pre-established unified format, and the standardized risk information is applied to a pre-set logic model analysis scenario to analyze the type, degree of risk, and grade of risk, and based on the type of risk analyzed, information, and grade of risk As a result, it can provide various statistical information provision functions, unsafe information preliminary response functions, unsafe information reporting functions, blind spot information management functions, and accident investigation result management functions.

Hereinafter, the active risk information integrated management method according to the present invention will be described in detail with reference to FIGS. 1 to 8 .

6 is a flowchart illustrating a method for integrated management of active risk information according to an embodiment of the present invention.

First, the control unit 150 controls one or more risk information (or source risk information/source) related to a specific keyword that is matched (or mapped/corresponding to) a corresponding library through one or more preset libraries from one or more preselected collection channels. data) is collected. At this time, the control unit 150 uses open API (OPENAPI), web crawling (including, for example, Lxml-based web crawling, etc.), CSV (comma-separated values) information, etc. You can also collect information. Here, the collection channel is selected as a result of the evaluation basis considering reliability according to the popularity of the collection channel, activity according to the amount of related articles, ripple according to the number of views of articles, and ease according to whether or not collection is possible. Including institutional servers, social media servers, etc. In addition, media companies corresponding to the media server include Yonhap News, JoongAng Ilbo, KBS, MBC, YTN, SBS, JTBC, Chosun Ilbo, Kyunghyang Shinmun, and Hankyoreh Newspaper. In addition, government/public institutions corresponding to the government and public institution servers include the Korea Consumer Agency, the National Agency for Technology and Standards, and the like. In addition, social media corresponding to the social media server (or content provider corresponding to the content providing server) includes Twitter, YouTube, Facebook, Instagram, Wikipedia, and the like.

At this time, the library includes collection range (eg, managed items, unmanaged items, etc.), collection channels (eg, media, government and public institutions, including servers such as social media), collection information (eg, accident information). , recall information, etc.), and includes information such as search terms. Here, the management items are products subject to the 'Safety Management Act for Electrical Appliances and Household Appliances' and the 'Special Act on Safety of Children's Products' managed by the National Agency for Technology and Standards of the Ministry of Trade, Industry and Energy (eg, electrical appliances, household items, children's products, etc.) includes In addition, the above unmanaged items are items managed by the National Agency for Technology and Standards and items managed according to the relevant laws of other ministries (e.g., Ministry of Food and Drug Safety's 'Cosmetics Act', 'Medical Devices Act', etc., Ministry of Environment's 'Lifestyle Chemical Products and Including 'Act on the Safety Management of Biological Products', etc.), including blind spot products. In addition, the media companies include blind spot products excluding items managed by the National Agency for Technology and Standards and items managed according to the relevant laws and regulations of other ministries. In addition, the government and public institutions include homepages and systems related to unsafe information provided by government and public institutions having the highest public confidence in information. In addition, the social media includes the fastest collection channel that has great scalability and ripple effect of information and can be shared in real time. In addition, the accident information includes hazard information from the Korea Consumer Agency, hazard information generated from media outlets and social media, and the like. In addition, the recall information includes domestic/overseas recall information from the Product Safety Information Center (not shown) of the National Agency for Technology and Standards.

At this time, the control unit 150 automatically inputs (or stores/registers) accident information, recall information, etc. related to the collected hazard information to a database (or web system) (not shown) as an accident investigation result, and reports/receives information items, accident information items, damage information items, certification information items, product information items, informant information items, accident information items, business information items, manufacturing/import/sales information items, purchase/use information items, other information items, It can be managed with similar accident case items, operator accident cause analysis items, operator action items, accident target selection items, field investigation items, defect investigation decision items, defect investigation items, defect determination items, administrative action items, etc.

In this way, the control unit 150 analyzes risk and item information, recognizes a specific keyword corresponding to the library, and collects related source risk information.

For example, the control unit 150 receives first source data (for example, http:/// Newspaper articles in the website www.test12345.com/news-987654.html) are collected (S610).

Then, the control unit 150 verifies whether or not the collected risk information is authentic.

That is, the control unit 150 converts one or more hazard information related to the specific keyword collected through the press server server, the government or public institution server, etc. into a pre-learned risk information verification model (or support vector machine, support vector machine). : Perform a learning function (or machine learning/artificial intelligence/deep learning) as an input value of SVM), and determine whether one or more risk information related to the specific keyword collected according to the result of performing the learning function corresponds to actual risk information Generates (or calculates/calculates) information on whether or not At this time, the control unit 150 performs a learning function by using the unsafe information collected through the press server, the government and public institution servers, etc. as an input value of the unsafe information verification model, and performs a learning function in advance according to the result of performing the learning function. Extract set pattern patterns, identify accident articles based on the extracted pattern patterns, remove advertisements and redundant articles from the identified accident articles, and verify data (or verify authenticity) according to the identified accident articles And accuracy is calculated, and data verification results (or authenticity/information of risk information), calculated accuracy, and collected risk information are databased.

In addition, the control unit 150 performs a pre-set pre-processing process (eg, including homonyms, spelling discrimination, semantics, etc.) on one or more hazard information related to the specific keyword collected through the social media server, etc. , The preprocessed risk information, etc. is used as the input value of the risk information verification model to perform the learning function, and data verification (or authenticity verification), accuracy and F1 score for the collected risk information according to the learning function execution result Calculate data verification results, calculated accuracy, calculated F1 score, and collected risk information into a database.

In this way, the control unit 150 removes patterns according to the nature of news and overlapping advertising articles for the unsafe information collected through the press server, the government and public institution servers, etc., and then performs a verification function for the collected unsafe information. It is possible to perform a primary verification function for the collected hazard information by reflecting word spelling, new word learning, etc. for the hazard information collected through the social media server, etc.

For example, the control unit 150 performs a learning function by using a first input value including the collected first source data as an input value of the risk information verification model, and according to a result of performing the learning function, the corresponding first Information indicating that the original data is unsafe information is generated (S620).

Thereafter, the control unit 150 additionally verifies whether or not the verified risk information is a management item.

That is, as a result of the verification, when it is verified (or confirmed/determined) that the collected unsafe information is unsafe information, the control unit 150 determines the hazardous location, cause, and part of the verified unsafe information for each item set in advance. Secondary verification (or judgment/confirmation) is performed whether or not the verified risk information (or the product corresponding to the verified risk information) is included in the item library (or unsafe information library) including symptoms. Here, the item library includes hazard locations, causes, symptoms of parts, etc. for each item related to products subject to the 'Electrical Appliances and Household Products Safety Management Act' and the 'Special Act on Children's Product Safety' managed by the National Agency for Technology and Standards of the Ministry of Trade, Industry and Energy. do.

For example, the control unit 150 verifies whether or not a battery related to the first source data verified as hazard information is included in the preset item library (S630).

As a result of the additional verification, if the verified risk information does not correspond to a preset management item, the controller 150 manages the first verified risk information (or the collected source risk information) as blind spot information ( or derived/created). Here, the blind spot information includes information indicating that the collected hazard information does not correspond to a preset management item, but is verified as hazard information.

That is, as a result of the additional verification, when the verified unsafe information (or a product corresponding to the verified unsafe information) is not included in the preset item library, the controller 150 determines that the first verified unsafe information is Although it does not correspond to a preset management item, it is determined that it corresponds to hazard information, and the first verified hazard information is managed as the blind spot information.

For example, when the preset item library does not include the first source data verified as hazard information, the controller 150 manages the first source data verified as blind spot information (S640). ).

In addition, as a result of the additional verification, if the verified risk information corresponds to a preset management item, the controller 150 manages the first verified risk information (or the collected source risk information) as management item information. (or derived/generated). Here, the management item information includes information indicating that the collected risk information is information corresponding to a previously set management item in a state where the risk information is verified as risk information.

That is, as a result of the additional verification, when the verified unsafe information (or a product corresponding to the verified unsafe information) is included in the preset item library, the controller 150 determines that the first verified unsafe information is stored in advance. It is determined that it corresponds to the set management item and risk information, and the first verified risk information is managed as the management item information.

For example, when the first source data verified as risk information is included in the preset item library, the control unit 150 manages the first source data verified as management item information (S650). .

Thereafter, the controller 150 controls the first and secondly verified one or more source hazard information (or the secondly verified one or more source hazard information/the blind spot information or one or more source hazards managed by the management item information). information) is standardized according to a pre-established unified format. Here, the pre-set unified form (or standardized form) is a hazard symptom, a hazard site, a hazard location, a hazard cause, an item (or detailed item), an occurrence date (or a start date), a manufacturer name (or importer name), age, It includes gender, etc., and may be in a state in which weights are set (or distributed) for each item. In addition, the adverse symptoms include burns, concussions and bruises, skin and subcutaneous tissue damage, muscle, bone and ligament damage, whole body damage, damage to internal organs of the body, and other injuries. In addition, the hazardous parts include head and face, neck and shoulders, torso, arms and hands, buttocks, legs and feet, inside the body, and other hazardous parts. In addition, the above hazardous places (or occurrence places) include houses, shopping facilities, lodging and restaurants, other commercial facilities, medical service facilities, educational facilities, sports/leisure facilities, roads, sidewalks, transportation facilities, leisure, cultural and amusement facilities, Includes religious and cultural facilities, industrial and construction areas, public facilities, welfare and elderly care facilities, agricultural, fishery and livestock production areas, nature and related facilities, and others. In addition, the hazard causes include physical shock, product-related, food and foreign substances, skin-related, medical procedures and drugs, electricity and chemical substances, fire, smoke, overheating, gas, and others.

That is, the control unit 150 controls the first and secondly verified one or more source hazard information (or the secondly verified one or more source hazard information/the blind spot information or one or more source hazards managed by the management item information). Information) is standardized according to the above unified form into hazard symptoms, hazardous parts, hazardous places, causes of harm, items (or detailed items), occurrence date (or start date), manufacturer name (or importer name), age, gender, etc. do.

In this way, in order to solve the problem that the form of information such as terminology and classification system used in each collection channel is different, the control unit 150 refines the source risk information verified through the first and second rounds to form a unified form. Convert to and process.

For example, the control unit 150 standardizes the first source data related to the verified battery according to a preset standardization form (S660).

Thereafter, the control unit 150 applies the standardized risk information (or standardized verified source data) to a preset logical model analysis scenario to analyze the risk type, risk degree, risk grade, etc. (or perform an analysis function). do). Here, the logical model analysis scenario is a recent rapid rise accident item logical model analysis scenario (or an accident item logical model analysis scenario / an accident item logical model analysis scenario in which the ranking has risen to a predetermined rank or higher within a preset period), an accident item that frequently occurs by item It includes a type logic model analysis scenario, an overseas recall cause logic model analysis scenario for each item, and a risk assessment logic model analysis scenario for each product group.

For example, the standardized first source data is applied to the analysis scenario of the logical model of the recently rising accident item to analyze the hazard type, degree of hazard, and hazard grade of the corresponding battery (S670).

Thereafter, the control unit 150 determines the risk type, degree of harm, risk grade, etc. according to the analysis result of the corresponding hazard information (or related to the analyzed standardized hazard information), and accident information collected in relation to the corresponding hazard information. Based on accident investigation results including recall information and additionally verified blind spot information related to the risk information, various statistical information provision function, scenario analysis result provision function, risk grade evaluation analysis function, and risk information reporting function , risk information pre-response function, blind spot information management function, accident investigation result management function, etc. are provided.

That is, when a search period is input (or set) according to user input (or user selection/touch/control) and then any one of the plurality of menus displayed on the display unit 130 is selected, the control unit 150 ) performs a function corresponding to the selected menu based on one or more hazard information related to the inquiry period, and displays (or outputs) the result of performing the corresponding function on the display unit 130. Here, the plurality of menus provide statistical information menus (or items/buttons) for providing statistical information for each item such as electrical appliances, household items, and children's products during the inquiry period, and scenario analysis results during the inquiry period. scenario analysis menu to provide risk rating information by item/product during the inquiry period, risk rating analysis menu to provide risk rating information by item/product during the inquiry period, and report (or report) on risk information by item/product during the inquiry period Hazard information reporting menu, unsafe information proactive response menu to provide information on abnormal symptoms by item/product during the inquiry period, blind spot information management menu to provide blind spot information by item/product during the inquiry period , Incident investigation result management menu, etc. are included to provide accident investigation result information by item/product during the inquiry period.

In addition, when the statistical information menu is selected from among a plurality of menus displayed on the display unit 130 after an inquiry period is entered according to a user input, the control unit 150 determines the risk information for the corresponding hazard information during the inquiry period. Accident investigation results, including accident information collected in relation to the hazard information, recall information, etc., and additionally verified blind spot information in relation to the hazard information, etc. according to the analysis result Statistical information including information such as new unsafe information status, cumulative unsafe information status, unsafe information keywords, and unsafe keyword statistics is generated based on the basis, and the generated statistical information is displayed on the display unit 130 and/or the audio output unit 140. ) through the output.

In addition, when the scenario analysis menu is selected from among a plurality of menus displayed on the display unit 130 after an inquiry period is input according to a user input, the control unit 150 determines the risk information for the corresponding hazard information during the inquiry period. Accident investigation results, including accident information collected in relation to the hazard information, recall information, etc., and additionally verified blind spot information in relation to the hazard information, etc. according to the analysis result Based on this, a scenario analysis result including item/product information with a rapid rise in accidents, duplicate accident type analysis information, overseas recall cause analysis information, risk assessment status information, etc. is generated, and the generated scenario analysis result is displayed on the display unit 130 and / or output through the audio output unit 140.

In addition, when the risk level evaluation analysis menu is selected from among a plurality of menus displayed on the display unit 130 after an inquiry period is entered according to a user input, the control unit 150 displays corresponding risk information during the inquiry period. Accident investigation results, including accident information collected in relation to the hazard information, recall information, etc., and additionally verified blind spot information in relation to the hazard information Based on the above, the risk grade evaluation analysis result including risk grade evaluation information by item, risk grade evaluation information by product, risk grade evaluation status information, risk grade evaluation result inquiry information, etc. is generated, and the generated risk grade evaluation analysis result is output through the display unit 130 and/or the audio output unit 140.

In addition, when the unsafe information reporting menu is selected from among a plurality of menus displayed on the display unit 130 after an inquiry period is input according to a user input, the control unit 150 determines the corresponding unsafe information during the inquiry period. Accident investigation results including accident information collected in relation to the risk information, recall information, etc. according to the analysis result of risk type, degree of harm, risk grade, etc., additionally verified blind spot information related to the risk information, etc. Based on this, risk information reporting information including item risk information reporting, item safety management recommendation information, product risk information reporting, product safety management recommendation information, etc. is generated, and the generated risk information reporting information is transmitted to the display unit 130 and / or output through the audio output unit 140.

In addition, when the risk information proactive response menu is selected from among a plurality of menus displayed on the display unit 130 after an inquiry period is entered according to a user input, the control unit 150 displays the corresponding risk information during the inquiry period. Accident investigation results, including accident information collected in relation to the hazard information, recall information, etc., and additionally verified blind spot information in relation to the hazard information Based on the above, risk information proactive response information including item abnormal symptom proactive response information, product abnormal symptom proactive response information, etc. is generated, and the generated unsafe information proactive response information is displayed on the display unit 130 and/or the audio output. It is output through the unit 140.

In addition, when the blind spot information management menu is selected from among a plurality of menus displayed on the display unit 130 after an inquiry period is entered according to a user input, the control unit 150 displays the hazard information during the inquiry period. Accident investigation results, including accident information collected in relation to the hazard information, recall information, etc., and additionally verified blind spot information in relation to the hazard information Blind spot information (or blind spot risk information), risk type, degree of harm, risk grade, etc. corresponding to the blind spot information, etc. The type, degree of harm, grade of harm, etc. are output through the display unit 130 and/or the audio output unit 140.

In addition, when the accident investigation result management menu is selected from among a plurality of menus displayed on the display unit 130 after an inquiry period is entered according to a user input, the control unit 150 displays the hazard information during the inquiry period. Accident investigation results, including accident information collected in relation to the hazard information, recall information, etc., and additionally verified blind spot information in relation to the hazard information It performs an accident investigation result input function based on, etc., generates accident investigation result management information including the accident investigation result status, etc., and transmits the generated accident investigation result management information to the display unit 130 and/or the audio output. It is output through the unit 140.

For example, when the statistical information menu is selected from a plurality of menus displayed on the display unit 130 after a first inquiry period (eg, the past week) is input, as shown in FIG. 7, the The control unit 150 controls the analysis results of the hazard type, hazard information, hazard grade, etc. of the battery, one or more accident information collected in relation to the battery, one or more recall information, etc., and one or more additionally verified in relation to the battery. Statistical information 700, which is the current state of hazard information of the battery for the past week based on blind spot information, is displayed on the display unit 130.

As another example, when the risk information reporting menu is selected from among a plurality of menus displayed on the display unit 130 after the second inquiry period (for example, the last month) is input, as shown in FIG. , The control unit 150 determines the analysis result of the hazard type, hazard information, hazard grade, etc. of the battery, one or more accident information collected in relation to the battery, one or more recall information, etc., additionally verified in relation to the battery. Based on one or more blind spot information, etc., a report on the risk information of each electrical appliance, household appliance, and children's product for the last month of the battery is generated, and the generated report 800 is displayed on the display unit 130. It is displayed (S680).

As described above, the embodiment of the present invention collects source risk information from a collection channel selected in advance, verifies whether or not risk information is present for the collected risk information, and additionally verifies whether or not the verified risk information is a management item. and additionally verified risk information is refined and standardized according to a pre-established unified form, and the standardized risk information is applied to a pre-set logic model analysis scenario to analyze the type, degree of risk, and risk grade, and the analyzed risk type , by providing various statistical information based on risk information and risk grade, risk information proactive response function, risk information reporting function, blind spot information management function, accident investigation result management function, etc., through the realization of integrated management of risk information It is possible to create a foundation for active product safety management and realize product safety management at the right time and place through analysis and utilization of collected risk information.

The foregoing may be modified and modified by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention, but to explain, and the scope of the technical idea of the present invention is not limited by these embodiments. The protection scope of the present invention should be construed according to the claims below, and all technical ideas within the equivalent range should be construed as being included in the scope of the present invention.

100: active risk information integrated management device 110: communication department
120: storage unit 130: display unit
140: audio output unit 150: control unit

Claims (10)

a storage unit for storing one or more preset libraries and storing one or more hazard information related to a specific keyword included in the library collected from one or more collection channels previously selected through the one or more libraries; and
Collecting the one or more risk information about the product from the collection channel, verifying the authenticity of the risk information for the collected risk information, further verifying whether or not the verified risk information is a managed item, and further verifying the result. According to the method, the verified risk information is managed as management item information or blind spot information, and standardization processing is performed by converting and processing one or more additionally verified risk information into a pre-set unified form, and the standardized risk information is converted into a pre-set logical model. It includes a control unit that performs an analysis function for the type of risk, the degree of risk, and the risk level by applying to the analysis scenario,
The control unit,
A learning function is performed using one or more risk information related to the specific keyword collected through a press server or a server of a government or public institution as an input value of a pre-learned risk information verification model, and according to the result of performing the learning function, the collected generating information about whether one or more risk information related to the specific keyword corresponds to actual risk information;
When the collected risk information is verified to be risk information, further verifying whether or not the verified risk information is included in a preset item library;
Apply the risk type, degree of risk, and risk grade according to the analysis result of the risk information to the product safety policy,
The collection channel,
Reliability according to the popularity of the collection channel, activity according to the amount of related articles, ripple according to the number of views of articles, and ease of collection are selected as the result, and are selected as the result of evaluation based on media servers, government and public institution servers, and social media servers includes at least one of
The management item information,
Including information indicating that the collected risk information corresponds to a preset management item in a state where the risk information is verified,
The blind spot information,
The active integrated risk information management device, characterized in that it includes information indicating that the collected risk information does not correspond to a preset management item, but is information that has been verified as risk information. delete Collecting, by a controller, one or more hazard information related to a specific keyword included in the library from one or more collection channels preselected through one or more libraries stored in a storage unit;
verifying, by the control unit, authenticity of the unsafe information for the collected product unsafe information;
further verifying, by the control unit, whether or not the verified risk information is a management item;
managing, by the control unit, the verified risk information as management item information or blind spot information according to an additional verification result;
Standardization processing of converting and processing, by the control unit, one or more additionally verified hazard information into a pre-set unified form; and
Performing, by the controller, an analysis function for risk type, risk degree, and risk grade by applying the standardized risk information to a preset logical model analysis scenario;
The step of verifying the authenticity of the risk information for the collected risk information,
A learning function is performed using one or more risk information related to the specific keyword collected through a press server or a server of a government or public institution as an input value of a pre-learned risk information verification model, and according to the result of performing the learning function, the collected Generating information on whether one or more risk information related to the specific keyword corresponds to actual risk information,
The step of additionally verifying whether the verified risk information is a managed item,
When the collected risk information is verified to be risk information, verifying whether or not the verified risk information is included in a preset item library;
The control unit,
Apply the risk type, degree of risk, and risk grade according to the analysis result of the risk information to the product safety policy,
The collection channel,
Reliability according to the popularity of the collection channel, activity according to the amount of related articles, ripple according to the number of views of articles, and ease of collection are selected as the result, and are selected as the result of evaluation based on media servers, government and public institution servers, and social media servers includes at least one of
The management item information,
Including information indicating that the collected risk information corresponds to a preset management item in a state where the risk information is verified,
The blind spot information,
The active risk information integrated management method, characterized in that it includes information indicating that the collected risk information does not correspond to a preset management item, but is information that has been verified as risk information. delete delete According to claim 3,
In the step of managing the verified risk information as management item information or blind spot information according to the additional verification result,
managing the verified hazard information as the blind spot information when the verified hazard information does not correspond to a preset management item as a result of the additional verification; and
and managing the verified risk information as management item information when, as a result of the additional verification, the verified risk information corresponds to a preset management item. According to claim 3,
When a statistical information menu is selected from among a plurality of menus displayed on the display unit after an inquiry period is entered according to a user input, the type of risk and risk according to the analysis result of the risk information during the inquiry period by the control unit Current status of new unsafe information, cumulative unsafe information based on accident investigation results including degree and risk grade, accident information and recall information collected in relation to the above-mentioned unsafe information, and additionally verified blind spot information related to the above-mentioned unsafe information generating statistical information including current status, unsafe information keywords, and unsafe keyword statistics; and
The active risk information integrated management method further comprising controlling, by the control unit, to display the generated statistical information through the display unit. According to claim 3,
When a scenario analysis menu is selected from among a plurality of menus displayed on the display unit after an inquiry period is entered according to a user input, the type of risk and risk according to the analysis result of the risk information during the inquiry period by the control unit Accident investigation results including the degree and risk grade, accident information and recall information collected in relation to the above risk information, and item/product information with a rapid increase in accidents based on blind spot information additionally verified in relation to the above risk information, duplication Generating a scenario analysis result including accident type analysis information, overseas recall cause analysis information, and risk assessment status information; and
The active risk information integrated management method further comprising controlling, by the control unit, to display the generated scenario analysis result through the display unit. According to claim 3,
After an inquiry period is entered according to a user input, when a risk rating evaluation analysis menu is selected from among a plurality of menus displayed on the display unit, the type of risk according to the analysis result of the risk information during the inquiry period by the control unit. , Risk level evaluation information for each item based on the accident investigation results including the degree and risk grade, accident information and recall information collected in relation to the above risk information, and additionally verified blind spot information related to the above risk information, Generating a risk grade evaluation analysis result including risk grade evaluation information for each product, risk grade evaluation status information, and risk grade evaluation result inquiry information; and
The active risk information integrated management method further comprising controlling, by the control unit, to display the generated risk rating analysis result through the display unit. According to claim 3,
When any one of the risk information reporting menu, risk information proactive response menu, blind spot information management menu, and accident investigation result management menu is selected from among the plurality of menus displayed on the display after the inquiry period is entered according to user input , Accident investigation results including, by the control unit, the type of hazard, the degree of harm, and the hazard grade according to the analysis result of the hazard information during the inquiry period, and accident information and recall information collected in relation to the hazard information, and Risk information reporting information including item risk information reporting related to the selected menu, item safety management recommendation information, product risk information reporting and product safety management recommendation information, based on additionally verified blind spot information related to the risk information , Risk information, proactive response information including item abnormal symptom proactive response information and product abnormal symptom proactive response information, blind spot information, risk type, risk degree and risk grade corresponding to the blind spot information, and accident investigation result status Generating any one of the accident investigation result management information that includes; and
By the controller, the generated hazard information reporting information, the generated hazard information proactive response information, the blind spot information, the hazard type, hazard degree and hazard grade corresponding to the blind spot information, and the generated accident The active risk information integrated management method further comprising the step of controlling to display any one of survey result management information through the display unit.

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