KR102483001B1 - System for analysing and caring odor of used car based on artificial intelligent and processing method thereof - Google Patents

Abstract

According to the present invention, disclosed is a treatment method of an AI-based used car odor analysis and care system which comprises the following steps of: detecting an odor in a vehicle by arranging an odor measurement sensor module inside a vehicle; analyzing data for an odor-causing substance based on a measurement value of the odor measurement sensor module; generating a deodorant matching report by querying a deodorant capable of removing or reducing the odor-causing substance in a pre-prepared storage unit; and displaying the deodorant matching report on a user terminal to guide a deodorization solution.

Description

AI-based used car odor analysis and care system and its processing method

The present invention relates to an AI-based used car odor analysis and care system and a method for processing the same, and more particularly, an AI-based used car odor analysis and care system capable of measuring and analyzing the interior odor of a used car and helping in used car transactions, and the same It's about processing.

In general, in the used car transaction, people who want to buy a car visit a large used car market located in a region, and select a car by visiting a large used car market and being introduced to the cars on sale there, or by visiting and looking at the cars for sale. This was the transaction method, but even in this case, it is common to evaluate the vehicle only by looking at the vehicle registration book, insurance accident history, and performance inspection table.

Regarding the emotional quality of the interior smell of a vehicle, even if there is a somewhat stinky or unfamiliar smell in the interior, it is often regarded as insignificant.

However, since various gases or contaminants that cause odor tend to remain in the vehicle for a long period of time and additional costs may be incurred to remove the odor, a careful examination of the sensory quality of odor is required. In particular, in the case of cigarette smell, it is difficult to remove it easily because the causative substance is adsorbed to the fabric or filter in the car, so some people may suffer from extreme stress. For example, volatile organic compounds (VOCs), hydrogen sulfide (H ₂ S), benzene (C ₆ H ₆ ) may be seriously harmful to health if toxic substances are present.

In recent years, online transactions have been activated, and furthermore, non-face-to-face transactions have been activated, and to buy with confidence in the condition of a used car that has been confirmed only in writing as before, at least online, it is necessary to judge only a small amount of information, so the low-grade smell and emotional quality are unsatisfactory. It can also be the cause of a bad transaction.

As an alternative, Patent Document 1 sets the vehicle interior odor grade to 1 to 5 grades, and based on the primary measurement data and the perfumer's input data, the server requests air purification and cleaning for grade 1 to 2 vehicles, and upon completion After measuring the smell, the final grade is determined and the 1st to 3rd grades are reset, the 2nd grade vehicles transmit air purifier selection option information to the customer, the 3rd grades transmit information with air purifiers installed, and the 4th to 5th grade vehicles are separately Disclosed is a used car sales system and method customized for odor care, characterized in that sales information is transmitted to a wholesale or auction server without cleaning or installing an air purifier.

Patent Document 2 relates to a device and method for imparting a sense of smell and determining such a sense of smell in analyzing a mixed gas, detecting a gas through a sensor device, a smell sensibility pattern on a pre-stored database and a sensor Comparing and analyzing the detection patterns detected through the device, determining the closest odor sensibility pattern, and determining the odor sensibility of the detected gas with the determined odor sensibility pattern, by directly inputting the odor sensibility for the detected gas Disclosed is a method for determining a smell sensibility that includes converting into data.

However, since the above conventional technologies are technologies that measure odors to set odor levels or determine odor sensibility based on pre-stored data and provide them to users, these technologies are applied as they are to various odors or harmful substances remaining in the vehicle. There are limits to solving material problems.

In the case of Patent Document 1, the used car sales server proposes a procedure for sending a message requesting an air purification operation and an interior cleaning operation for a third-class vehicle to an indoor care terminal, and the air purification operation is an evaporate antibacterial operation, It is proposed that it can perform air duct sterilization work and indoor deodorization work.

However, since the physical and chemical composition of various odor-causing substances is also very different, it is difficult to efficiently remove them by uniformly performing several standardized purification operations.

Patent Document 1: Registered Patent Publication No. 10-2334052 (registered on November 29, 2021) Patent Document 2: Registered Patent Publication No. 10-1637773 (registered on July 1, 2016)

The present invention was devised in consideration of the above problems, and measures and analyzes the odor of the used car's interior to suggest measures to remove or mitigate the odor to the user, thereby improving the odor sensory quality based on AI. Its purpose is to provide an analysis and care system and its processing method.

Another object of the present invention is to provide an AI-based used car odor analysis and care system and a processing method that promote more transparent used car transactions by guiding odor emotional information on the vehicle to users.

In order to achieve the above object, the present invention includes the steps of detecting odors in the vehicle by arranging an odor measurement sensor module inside the vehicle; Analyzing data on odor-causing substances based on the measured values of the odor measuring sensor module; generating a deodorant matching report by querying a deodorant capable of removing or reducing the odor-causing substances in a pre-prepared storage unit; and displaying the deodorant matching report on a user terminal to guide a deodorant solution.

In the step (a), the odor measurement sensor module includes a plurality of sensors capable of detecting different components, and each sensor is nicotine, tar, ethanol (C ₂ H ₅ OH) , carbon monoxide (CO), mycotoxins, volatile organic compounds (VOCs), ammonia (NH ₃ ), hydrogen sulfide (H ₂ S), solvent, benzene (C ₆ H ₆ ), ozone (O ₃ ), nitrogen dioxide ( NO ₂ ) and sulfur dioxide (SO ₂ ) may have a detection ability for at least one selected from the group consisting of.

In the step (b), a process of extracting odor sensibility information from the storage unit by analyzing the type and strength of the odor-causing substances, and in the step (c), the deodorants mapped for each odor sensibility information are analyzed. It is possible to generate the deodorant matching report by querying.

Alternatively, in the step (c), the deodorant matching report may be generated by inquiring deodorants mapped for each major component of the odor-causing substance.

In the step (d), the deodorant matching report and smell sensibility information may be transmitted to the user terminal.

According to another aspect of the present invention, the odor measurement sensor module is disposed inside the vehicle to detect the smell coming from the vehicle; a data analyzer that analyzes data on odor-causing substances based on the measured values of the odor measurement sensor module; a storage unit for storing deodorant information; an AI diagnosis unit for generating a deodorant matching report by querying the storage unit for a deodorant capable of removing or reducing the detected odor-causing substances; and a care processing unit displaying the deodorant matching report on a user terminal and guiding a deodorant solution.

The storage unit stores odor sensibility information corresponding to the type and intensity of odor-causing substances, and the AI diagnosis unit determines odor sensibility information based on the analysis result of the data analysis unit, and the storage unit determines odor sensibility information for each odor sensibility information. The deodorant matching report may be generated by inquiring mapped deodorants.

Alternatively, the AI diagnostic unit may generate the deodorant matching report by querying deodorants mapped for each major component of odor-causing substances in the storage unit based on the analysis result of the data analyzer.

The care processing unit may transmit the deodorant matching report and smell sensibility information to the user terminal.

According to another aspect of the present invention, a procedure for analyzing data on odor-causing substances based on a measurement value of an odor measuring sensor module disposed in the interior of a vehicle, and a deodorant capable of removing or reducing the odor-causing substances A computer-readable recording medium recording a program capable of executing on a computer a procedure of generating a deodorant matching report by querying in a storage unit, displaying the deodorant matching report and odor emotion information on a user terminal, and guiding a deodorizing solution is provided.

The AI-based used car odor analysis and care system and its treatment method according to the present invention have the following effects.

First, by measuring and analyzing the indoor odor of used cars, presenting deodorants that can remove or mitigate the odor to the user, it is possible to efficiently clean up by using a deodorant that matches the odor-causing substance, and to prevent indiscriminate use of deodorants. Side effects or unnecessary costs can be prevented.

Second, more transparent used car transactions can be made and customer complaints can be fundamentally resolved by guiding the user to the smell and emotion information of the vehicle.

Third, it is possible to improve the emotional quality of used car products through accurate AI diagnosis and report on various odor-causing substances remaining in the car.

Fourth, even if one of the complex odors in the car is relatively strong and it is difficult to distinguish other odors by smell, it is possible to diagnose and care by quantitatively analyzing odor-causing substances.

The following drawings attached to this specification illustrate preferred embodiments of the present invention, and together with the detailed description of the present invention serve to further understand the technical idea of the present invention, the present invention is the details described in such drawings should not be construed as limited to
1 is a block diagram of an AI-based used car odor analysis and care system according to a preferred embodiment of the present invention.
FIG. 2 is a flowchart illustrating a process in which the treatment method of the AI-based used car odor analysis and care system shown in FIG. 1 is performed.
3 is a block diagram of an AI-based used car odor analysis and care system according to another embodiment of the present invention.
FIG. 4 is a flowchart illustrating a process in which the processing method of the AI-based used car odor analysis and care system shown in FIG. 3 is performed.
5 is a table schematically illustrating the main configuration of the deodorant matching report generated by the AI diagnosis unit according to the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram of an AI-based used car odor analysis and care system according to a preferred embodiment of the present invention.

Referring to FIG. 1, the AI-based used car odor analysis and care system according to a preferred embodiment of the present invention analyzes the odor measurement sensor module 10 disposed in the vehicle and the detected odor data to provide care corresponding to odor-causing substances. It includes a management server 30 that provides services.

The odor measurement sensor module 10 is disposed inside the vehicle and detects unknown odor components emitted from the vehicle. In the odor measurement sensor module 10, a plurality of gas sensors or biosensors capable of detecting different components are installed in the same module in an array form. Each sensor provided in the odor measurement sensor module 10 detects nicotine, tar, ethanol (C ₂ H ₅ OH), carbon monoxide (CO), mycotoxins, volatile organic compounds (VOCs), ammonia ( NH ₃ ), hydrogen sulfide (H ₂ S), solvent, benzene (C ₆ H ₆ ), ozone (O ₃ ), chlorine (Cl), methane (CH ₄ ), nitrogen dioxide (NO ₂ ) and sulfur dioxide ( SO ₂ ) has detection ability for at least one selected from the group consisting of.

The measurement value detected by the smell measuring sensor module 10 is transmitted to the management server 30 through the user terminal 20 . The user terminal 20 is a portable computer device such as a laptop computer or a smartphone equipped with a communication interface such as USB (Universal Serial Bus) or Wi-Fi for connection with the odor measurement sensor module 10. . Preferably, the user terminal 20 may be a terminal used by a used car dealer. As another example, the user terminal 20 may be a terminal of a general user using a vehicle. As another example, the user terminal 20 may be a dedicated terminal constituting a kit together with the smell measurement sensor module 10 .

The management server 30 includes a data analysis unit 31, an AI diagnosis unit 32, a care processing unit 33 and a communication interface 34, and is configured to work with a storage unit 35 corresponding to a database.

The data analyzer 31 analyzes data on odor-causing substances based on the measured values of the odor measuring sensor module 10 . Specifically, the data analysis unit 31 analyzes the type and intensity of the measured odor-causing substances and extracts odor sensibility information from the storage unit 35 . Here, the smell sensibility refers to a name pre-input into the storage unit 35 so that a person can specify a sensibility for an unstandardized smell. For example, odor sensibility information corresponding to 'nicotine' or 'tar' among odor-causing substances may be set to 'cigarette smell'.

The storage unit 35 is a database (DB) for storing information on odor-causing substances and deodorants. In the storage unit 35, information on the type of deodorant is mapped for each odor sensibility information of the odor-causing substance. Alternatively, information on the type of deodorant may be mapped to the storage unit 35 for each major component of the odor-causing substance. More preferably, as shown in FIG. 5, the type of deodorant may be mapped by comprehensively reflecting odor-causing substances and emotional information.

The AI diagnosis unit 32 queries the storage unit 35 for deodorants capable of removing or reducing the detected and analyzed odor-causing substances, and generates a deodorant matching report including a data structure as shown in FIG. 5 . As described above, since the deodorant is mapped by odor sensibility information (or by major component of odor-causing substances) in the storage unit 35, the AI diagnosis unit 32 can quickly specify a deodorant to treat the odor-causing substance. there is.

The care processing unit 33 displays a deodorant matching report and odor sensibility information on the user terminal 20 to guide a deodorizing solution. For example, the care processing unit 33 displays the analyzed smells on the user terminal 20 when the smells are cigarette smell and mold smell, and the cigarette smell is a fabric deodorant, phytoncide, PB-1 ^TM detergent and Sonax ^TM tar remover It may be guided to remove using at least one selected from among them, and the moldy odor may be guided to be removed using an ozone generator.

The communication interface 34 is a communication module for transmitting and receiving data with the user terminal 20 via a network such as wired/wireless Internet.

2 is a flowchart illustrating a process in which the treatment method of the AI-based used car odor analysis and care system having the above configuration is performed.

Referring to FIG. 2, first, when the user terminal 20 accesses the management server 30 online, the management server 30 outputs a message guiding odor diagnosis and care process and displays the message on the user terminal 20 (step S100 and step S101).

The user may measure the odor by arranging the odor measurement sensor module 10 at a predetermined location inside the vehicle according to the guidance. The odor measurement sensor module 10 is disposed on the dashboard, floor, seat, etc. of the vehicle to detect odors in the vehicle (step S102).

When the measurement of the odor measurement sensor module 10 is completed, the measurement value is transmitted to the user terminal 20 (step S103), and the user terminal 20 transmits the odor measurement data to the management server 30 (step S104). .

The data analysis unit 31 of the management server 30 analyzes the type and intensity of odor-causing substances and extracts odor sensibility information from the storage unit 35 (step S105).

The AI diagnosis unit 32 of the management server 30 determines odor sensibility information based on the analysis result of the data analysis unit 31, and maps the main components of odor causative substances and each odor sensibility information in the storage unit 35. Deodorant matching reports are generated as shown in FIG.

Preferably, the AI diagnosis unit 32 may present a different treatment agent or include a warning message to use together in the deodorant matching report when there are deodorants that should not be used together in the generated deodorant matching report. For example, when a deodorant containing sulfur (S) or sulfide components and a deodorant used in aqueous solution are used in combination, sulfur (S) and water (H ₂ O) react to form toxic hydrogen sulfide (H ₂ S) It warns of possible occurrences and prevents misuse in advance. In addition, for example, when a deodorant with a predominant acidity and a deodorant with a predominant alkalinity are used in combination, an acid-base neutralization reaction occurs, which is warned to prevent misuse.

The care processing unit 33 of the management server 30 transmits the odor sensitivity information and the deodorant matching report to the user terminal 20 to guide the deodorization solution (step S107), and the user terminal 20 displays the received information on the device screen and, if necessary, even a voice guidance message may be output (step S108). Of course, a dedicated app must be installed in the user terminal 20 in advance to support these functions.

3 is a block diagram of an AI-based used car odor analysis and care system according to another embodiment of the present invention. This embodiment substantially provides a configuration in which the above-described functional configuration of the management server 30 is mounted in the user terminal 20'. That is, the user terminal 20' includes a data analysis unit 21, an AI diagnosis unit 22, a care processing unit 23, a communication interface 24, and a storage unit 25.

As in the foregoing embodiment, the data analysis unit 21 analyzes data on odor-causing substances based on the measured values of the odor measurement sensor module 10, and the storage unit 25 analyzes the sensibility information on odor-causing substances and Save the deodorant information. The storage unit 25 may be composed of, for example, a flash memory, a USB memory, or a hard disk.

The AI diagnosis unit 22 queries the storage unit 25 for deodorants capable of removing or reducing the detected odor-causing substances and generates a deodorant matching report. In addition, the care processing unit 23 displays a deodorant matching report and odor sensibility information on the screen of the user terminal 20' to provide guidance on deodorization solutions.

The communication interface 24 is for connecting the odor measuring sensor module 10 to the user terminal 20', and for example, Universal Serial Bus (USB) or Wi-Fi may be employed. Such a user terminal 20 may be configured by loading a dedicated app on a portable computer device such as a laptop computer or a smart phone.

4 is a flowchart illustrating a process in which the treatment method of the AI-based used car odor analysis and care system having the above configuration is performed.

Referring to FIG. 4 , first, when the dedicated app is executed, the user terminal 20' outputs a screen for guiding odor diagnosis and care processes (step S200).

The user may measure the odor by arranging the odor measurement sensor module 10 at a predetermined location inside the vehicle according to the guidance. The odor measurement sensor module 10 is disposed on the dashboard, floor, seat, etc. of the vehicle to detect odors in the vehicle (step S201).

When the measurement of the smell measurement sensor module 10 is completed, the measurement value is transmitted to the user terminal 20' (step S202).

The data analysis unit 21 of the user terminal 20' analyzes the type and intensity of odor-causing substances and extracts odor sensibility information from the storage unit 25 (step S203).

The AI diagnosis unit 22 of the user terminal 20' determines odor sensibility information based on the analysis result of the data analysis unit 21, and searches for deodorants mapped for each odor sensibility information in the storage unit 25. As shown in Fig. 5, a deodorant matching report is generated (step S204). Alternatively, the AI diagnosis unit 22 may generate a deodorant matching report by querying deodorants mapped for each major component of odor-causing substances in the storage unit 25 based on the analysis result of the data analysis unit 21. .

The care processing unit 23 of the user terminal 20 outputs a deodorant matching report and smell sensibility information on a screen to guide a deodorizing solution (step S205).

According to another aspect of the present invention, a procedure for analyzing data on odor-causing substances based on the measured values of the odor measurement sensor module 10, and a storage unit prepared in advance with a deodorant capable of removing or reducing odor-causing substances. A recording medium recording a program capable of executing a procedure of generating a deodorant matching report by querying (25, 35) and a procedure of displaying the deodorant matching report on the user terminal (20, 20') to guide a deodorization solution on a computer ( For example, a magnetic recording medium, CD-ROM, flash memory, etc.) is provided.

As described above, when the present invention is applied, the indoor odor of used cars is measured and analyzed to remove or mitigate the odor by extracting deodorants from the storage units 25 and 35 and presenting them to the user in the form of a list, thereby reducing odor-causing substances. Consistent purification work can be efficiently carried out, and side effects or unnecessary expenses caused by indiscriminate use of deodorant can be prevented. In addition, there is an advantage in that a more transparent used car transaction can be made and the problem of customer complaints can be fundamentally solved by guiding the user to the smell emotion information of the vehicle.

Although the present invention has been described above with limited embodiments and drawings, the present invention is not limited thereto, and within the equivalent scope of the technical idea of the present invention by those skilled in the art to which the present invention belongs Of course, various modifications and variations are possible.

10: odor measuring sensor module 20,20': user terminal
30: management server 21, 31: data analysis unit
22,32: AI diagnosis unit 23,33: Care processing unit
24,34: communication interface 25,35: storage unit

Claims (11)

(a) arranging an odor measurement sensor module inside the vehicle to detect odors in the vehicle;
(b) analyzing data on odor-causing substances based on the measured values of the odor measurement sensor module by a data analysis unit;
(c) generating a deodorant matching report by an AI diagnosis unit by inquiring a deodorant capable of removing or reducing the odor-causing substance from a pre-prepared storage unit; and
(d) displaying the deodorant matching report on a user terminal by the care processing unit to guide a deodorizing solution;
In the step (a),
The odor measuring sensor module includes a plurality of sensors capable of detecting different components, and each sensor is nicotine, tar, ethanol (C ₂ H ₅ OH), carbon monoxide (CO), mold Toxins, volatile organic compounds (VOCs), ammonia (NH ₃ ), hydrogen sulfide (H ₂ S), solvents, benzene (C ₆ H ₆ ), ozone (O ₃ ), chlorine (Cl), methane (CH ₄ ), has a detection ability for at least one selected from the group consisting of nitrogen dioxide (NO ₂ ) and sulfur dioxide (SO ₂ ),
In the step (b),
Analyzing the type and intensity of the odor-causing substance and extracting odor sensibility information from the storage unit;
In the step (c),
generating the deodorant matching report by searching for deodorants mapped for each odor sensibility information or for each major component of the odor-causing substance;
When there are deodorants that should not be used together in the deodorant matching report, a message warning that other treatment agents are suggested or used together is included in the deodorant matching report. delete delete delete According to claim 1,
In the step (d),
The AI-based used car odor analysis and processing method of the care system, characterized in that for transmitting the deodorant matching report and odor sensibility information to the user terminal. An odor measurement sensor module disposed inside the vehicle to detect odors in the vehicle;
a data analyzer that analyzes data on odor-causing substances based on the measured values of the odor measurement sensor module;
a storage unit for storing odor sensibility information and deodorant information corresponding to the type and intensity of odor-causing substances;
an AI diagnosis unit for generating a deodorant matching report by querying the storage unit for a deodorant capable of removing or reducing the detected odor-causing substances; and
A care processing unit for displaying the deodorant matching report on a user terminal and guiding a deodorant solution;
The odor measuring sensor module,
It includes a plurality of sensors capable of detecting different components, and each sensor detects nicotine, tar, ethanol (C ₂ H ₅ OH), carbon monoxide (CO), mycotoxins, and volatile organic compounds ( VOCs), ammonia (NH ₃ ), hydrogen sulfide (H ₂ S), solvent, benzene (C ₆ H ₆ ), ozone (O ₃ ), nitrogen dioxide (NO ₂ ) and sulfur dioxide (SO ₂ ). Has a detection ability for at least one selected from,
The AI diagnosis unit,
Determining odor sensibility information based on the analysis result of the data analysis unit, and querying deodorants mapped for each odor sensibility information or for each major component of the odor causing substance in the storage unit to generate the deodorant matching report;
AI-based used car odor analysis and care system, characterized in that when there are deodorants that should not be used together in the deodorant matching report, a message warning that other treatment agents are suggested or used together is included in the deodorant matching report. delete delete The method of claim 6, wherein the care processing unit,
An AI-based used car odor analysis and care system, characterized in that for transmitting the deodorant matching report and odor sensibility information to the user terminal. delete A procedure for analyzing data on odor causative substances based on the measured values of the odor sensor module disposed in the interior of the vehicle;
A process of generating a deodorant matching report by querying a deodorant mapped by odor sensibility information or mapped by major components of odor causative substances in a storage unit in order to remove or reduce the odor causative substance;
A process of displaying the deodorant matching report and odor sensibility information on a user terminal and guiding a deodorization solution;
A computer-readable record recording a program that can execute a procedure on a computer to include a message warning that other processing agents are suggested or used together in the deodorant matching report when there are deodorants that must not be used together in the deodorant matching report media.

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