KR102149818B1 - Method for providing automatic interior estimate service and system for performing the same - Google Patents

Abstract

A method of providing an automatic interior quotation service by a management server according to the present disclosure may include receiving a proposal requesting an interior service for an indoor place from a user terminal. Here, the proposal may include an address for an indoor place, a construction date, and a user preference for design and structure. The method of providing an automatic interior estimate service includes providing a provisional estimate generated based on a proposal to a user terminal, receiving a request for a construction request for a provisional estimate from the user terminal, and area information for each space in an indoor place. Receiving a step, the step of generating a detailed estimate including a construction list based on the temporary estimate and the received area information, determining at least one constructable contractor based on the construction performance and customer satisfaction for a plurality of contractors Based on the construction date and material or construction service of the construction list, the steps of selecting a final construction company from at least one constructible construction company, and placing an order for interior construction for an indoor location to the selected final construction company are performed. It may contain more.

Description

How to provide interior auto-estimating service and system to execute it {METHOD FOR PROVIDING AUTOMATIC INTERIOR ESTIMATE SERVICE AND SYSTEM FOR PERFORMING THE SAME}

The present disclosure relates to a method and system for providing interior services, and more particularly, to automatically provide a detailed estimate based on an interior temporary estimate for an indoor place and area information for each space of an indoor place, and to construct a detailed estimate Or, it relates to a method and system for providing an interior service that can automatically match a contractor for providing a service.

In recent years, as people's perception of a living space such as a house has changed from a residential space where they simply sleep to a place where they can enjoy hobbies and leisure lives, interest in the interior of the house is also increasing. In particular, as demand for decorating living spaces according to individual design tendencies and personalities is increasing, various interior services and information are overflowing online.

Typically, when a resident needs to construct an interior before moving into a new dwelling place, or wants to newly change the interior of an old place, the resident requests an interior construction or service estimate from an interior company. However, in most cases, interior services that have been provided beforehand are visited by an interior company directly to the site to examine and consult. In the process of conducting such a consultation, there are cases in which costs may be incurred, and since a person must visit the site, a considerable amount of time is required.

In recent years, due to the development of ICT, interior services that can solve these problems have been provided. For example, using an online service, the customer enters the desired interior option on the quotation proposal provided in the form of an input window through the interior company's homepage, or requests a consultation through the internet and You are required to be notified of an estimate for

However, in the case of these interior services, even if the limitations of time and space can be overcome, the difference in the construction cost required for each construction company is large even if the same design quotation is requested, and the information in the quotation is not specific, so the reliability of the information decreases. I can. In addition, in the process of collecting and revising the opinions on the interior, there may be a difference from the interior desired by the customer, and there is a problem that a defect may occur because the construction is not constructed according to the contract or the construction is poor.

That is, these interior services have difficulty in providing optimized interior services to users. Therefore, there is a need to overcome the problems of existing interior services to promote user convenience and provide transparent interior services.

The embodiments disclosed in the present specification automatically provide a detailed estimate based on the provisional estimate of the indoor place and the area information for each space of the indoor place, and automatically match the contractor optimized thereto, so that it is reasonable and transparent. It relates to a method and system for providing interior services that can provide interior cost and services.

A method of providing an automatic interior quotation service by a management server according to the present disclosure may include receiving a proposal requesting an interior service for an indoor place from a user terminal. Here, the proposal may include an address for an indoor place, a construction date, and a user preference for design and structure. The method of providing an automatic interior estimate service includes providing a provisional estimate generated based on a proposal to a user terminal, receiving a request for a construction request for a provisional estimate from the user terminal, and area information for each space in an indoor place. Receiving a step, the step of generating a detailed estimate including a construction list, based on the temporary estimate and the received area information, determining at least one constructible contractor based on the construction performance and customer satisfaction for a plurality of contractors Based on the construction date and material or construction service of the construction list, the steps of selecting a final construction company from at least one constructible construction company, and placing an order for interior construction for an indoor location to the selected final construction company are performed. It may contain more.

In addition, a system for providing an automatic interior estimate service may include a communication module configured to receive a proposal requesting an interior service for an indoor place from a user terminal. Here, the proposal may include an address for an indoor place, a construction date, and a user preference for design and structure. The system for providing the automatic interior quotation service may further include a database configured to store price policy information, material information, and construction company information from a plurality of construction company servers and a plurality of material suppliers. Here, the database is a price policy DB in which the first predetermined standard unit price for a plurality of construction lists and the second predetermined standard unit price for materials and services required for interior construction are stored, and the quantity of materials required for interior construction is aggregated. It may include a material DB in which information about the information is stored, and a construction company DB in which construction schedule information, construction performance information, and customer satisfaction information for each of a plurality of construction companies are stored. A system that provides an automatic interior quotation service provides a temporary estimate generated based on a proposal to a user terminal through a communication module, receives a construction request for a temporary estimate from the user terminal, and receives the temporary estimate and each of the indoor places. An estimate generation module configured to generate detailed estimates including a construction list based on the area information for the space, and at least one constructable contractor based on the construction performance and customer satisfaction of multiple contractors extracted from the contractor DB. Determined, and based on each construction list material or construction service extracted from the construction date and material DB, the final construction company is selected from at least one possible construction company, and the interior construction for the indoor place is ordered to the selected final construction company. It may include an automatic matching module configured to.

According to various embodiments of the present disclosure, by providing a detailed estimate based on a temporary estimate of an indoor place and area information for each space of an indoor place, it is possible to reduce interior construction cost and increase transparency of construction cost. have. In addition, it is possible to increase the user's convenience and satisfaction with interior services by automatically matching the construction companies optimized for the construction list for the user to construct.

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

Embodiments of the present disclosure will be described with reference to the accompanying drawings described below, where like reference numerals denote like elements, but are not limited thereto.
1 is a schematic diagram of an interior service providing system according to an embodiment of the present disclosure.
2 is a block diagram of an interior service providing system according to an embodiment of the present disclosure.
3 is a flowchart illustrating a method of providing an interior service according to an embodiment of the present disclosure.
4 is a flowchart illustrating a step of generating a detailed estimate according to an embodiment of the present disclosure.
5 is a structural diagram showing an artificial neural network according to an embodiment of the present disclosure.
6 is a flowchart illustrating a method of providing an interior service using an artificial neural network according to an embodiment of the present disclosure.
7 is an exemplary diagram illustrating an interface for receiving user information and information on an indoor place from a user according to an embodiment of the present disclosure.
8 is an exemplary diagram illustrating an interface for receiving user preferences for design and structure from a user according to an embodiment of the present disclosure.
9 is an exemplary view showing a temporary estimate according to an embodiment of the present disclosure.
10 is an exemplary view showing a detailed estimate according to an embodiment of the present disclosure.
11 is an exemplary diagram illustrating an interface for collecting customer satisfaction through a user terminal according to an embodiment of the present disclosure.
12 is an exemplary view showing information on interior services provided to a final construction company terminal according to an embodiment of the present disclosure.

Hereinafter, with reference to the accompanying drawings, specific details for the implementation of the present disclosure will be described in detail. However, in the following description, when there is a possibility that the subject matter of the present disclosure may be unnecessarily obscure, detailed descriptions of widely known functions or configurations will be omitted.

In the accompanying drawings, the same or corresponding elements are assigned the same reference numerals. In addition, in the description of the following embodiments, overlapping descriptions of the same or corresponding components may be omitted. However, even if description of a component is omitted, it is not intended that such component is not included in any embodiment.

The interior service providing system according to an embodiment of the present disclosure provides a more specific detailed estimate based on a provisional estimate for an indoor place to be constructed by a user and area information for each space of the indoor place, and provides a detailed estimate. It is possible to automatically match the contractors optimized for the construction or service of the included construction list. Furthermore, by collecting information on customer satisfaction after interior construction and providing defect repair and post management, it is possible to not only provide reasonable and transparent interior construction cost and construction information, but also provide optimized interior services to users. have.

1 is a schematic diagram of an interior service providing system 100 according to an embodiment of the present disclosure. In the system 100 shown in FIG. 1, a plurality of user terminals 110_1 to 110_n transmits a proposal to the management server 120 through the communication network 160, for example, through a user's input. You can request interior services for the indoor places you want. Here, the user terminals 110_1 to 110_n use a user input device (eg, a touch display, a keyboard, a mouse, a touch fan or a stylus, a microphone, a motion recognition sensor, etc.) capable of transmitting a proposal to the management server 120 As a suitable terminal device provided, for example, it may be any one of a personal computer, a smart phone, a tablet computer, etc., but is not limited thereto.

The management server 120 may be configured to generate a provisional estimate and a detailed estimate based on the received proposal, provide it to the user terminals 110_1 to 110_n, and automatically match the construction companies. The received proposal contains user information (for example, an address for an indoor place, etc.) and information on user preference (for example, a construction date and user preference for design and structure) from the user terminals 110_1 to 110_n. It may include, and the manager of the management server 120 may monitor this through the manager terminal 130. Here, the management server 120 is a computing device capable of communicating with other devices through a wired or wireless network, and a processing device such as a central processing unit (CPU), a graphic processing unit (GPU), a digital signal processor (DSP), etc. It may be a computing device capable of performing an arithmetic operation using, but is not limited thereto.

According to one embodiment, the management server 120, from each of the plurality of user terminals (110_1 to 110_n), through the communication network 160, information related to a user who uses the interior service (for example, user name and contact information , You can receive a proposal including the address and construction date for the indoor place) and information related to user preference (eg, spatial transformation, materials, furniture, etc., interior-related options). The management server 120 may generate a provisional estimate for interior services based on the received proposal, and the generated provisional estimate is configured to transmit the generated provisional estimate to the user terminal that sent the proposal. The user terminal may transmit a construction request request to the management server 120 in response to such a provisional estimate, and the management server 120 provides area information and provisional estimate for each space of an indoor place for providing interior services. On the basis of this, you can create a detailed quotation.

The management server 120 is constructed from a plurality of construction company servers (140_1 to 140_n) and/or a plurality of material supplier servers (150_1 to 150_n) through the communication network 160, such as construction companies, materials and costs (prices) Company information may be provided periodically or aperiodically (for example, in real time) and stored or updated. From this construction company information, the management server 120 can automatically match the construction company based on the construction performance, customer satisfaction, construction date and construction list.

2 is a block diagram of an interior service providing system 200 according to an embodiment of the present disclosure. Hereinafter, components of the interior service providing system 200 of the present disclosure will be described in more detail. As shown in FIG. 2, the interior service providing system 200 may include a user terminal 110 and a management server 120. The management server 120 may be configured to include a communication module 230, a processor 240, and a database 250. According to an embodiment, the processor 240 may include a quote generation module 242, an automatic matching module 244, a learning module 246, and an information collection module 246, and the database 250 is a price policy It may include a DB 252, a material DB 254, and a contractor DB 256. Among the functions or components of the interior service providing system 200, for components having the same member numbers or names as those described in FIG. 1 described above, detailed descriptions may be omitted to avoid repetition, and changes Or, you can only explain additional parts.

The communication module 230 may be configured to enable the management server 120 to communicate with the user terminal 110. Depending on the installation environment, the communication module is, for example, a wired network such as Ethernet, a wired home network (Power Line Communication), a telephone line communication device, and RS-serial communication, or a WLAN (Wirelsee LAN), Bluetooth, and ZigBee. ), etc., can be variously selected and configured.

According to an embodiment, the communication module 230 may receive a proposal requesting an interior service for an indoor place from the user terminal 110 and provide it to the processor 240. Here, the proposal may include user information (eg, address for an indoor place, user name, contact information, etc.). In addition, the proposal may include information such as a construction date and user preference for design and structure inputted by the user through the user terminal 110. In addition, for example, the user inputs Kim XX, XX apartment X-dong, XX apartment XX, XX-gu, Seoul, 2018/06/02~04, and bathroom floor construction using the user terminal 110, and requests interior services. Then, the communication module 230 may transmit a user name, an address for an indoor place, a construction date, and a user preference to the processor 240 of the server 120. According to another embodiment, the communication module 230 may be configured to transmit the provisional and/or detailed quotation generated by the quotation generating module 242 based on the proposal to the user terminal 110.

The database 250 is a price policy DB 252 in which a first predetermined standard unit price for a plurality of construction lists and a second predetermined standard unit price for materials and services required for interior construction are stored, and a material required for interior provision It may include a material DB (254) for storing information on the aggregate of the quantity of goods and a construction company DB (256) for storing construction schedule information, construction performance information, and customer satisfaction information for each of a plurality of construction companies. The management server 120 may receive information related to a construction company, materials, and costs (prices) from a plurality of construction company servers and material supplier servers through the communication module 230.

The price policy DB 252 may be stored as a first predetermined standard unit price for the material list, for example, 4 million won as a cost for kitchen work, 3 million won as a cost for expansion work, etc. As a second predetermined standard unit price for construction services, for example, 600,000 won for an island table, 50,000 won for slim, etc., 1.2 million won for extension work, and 150,000 won per person for labor costs, etc. may be stored.

The material DB 254 may store aggregate information of material quantities required for interior service provision in a database for each type, and receive related information in real time or periodically from a plurality of material supplier servers.

The construction company DB 256 may store information related to the construction company. According to an embodiment, the construction company DB 256 includes information related to each construction company such as contact information and address, construction schedule information determined by date for each construction company, construction performance information according to the type of construction service for each construction company, and interior After construction is completed, customer satisfaction information that can be collected through a survey provided by the user terminal can be stored.

The pricing policy DB 252, the material DB 254 and the contractor DB 256, through a communication network, a plurality of construction company servers (140_1 to 140_n), a plurality of material supplier servers (150_1 to 150_n) and management Update information of related information may be periodically or aperiodically received from the server 120 (eg, in real time) and stored. In FIG. 2, the database 250 is shown to be included in the server 120, but is not limited thereto. According to embodiments, the database 250 may exist separately from the server 120 and may be connected to a communication network.

The quotation generating module 242 automatically generates a provisional estimate for an indoor place based on a proposal including user information and user preference received from the user terminal, and the generated provisional estimate and area information for each space of the indoor place It can be configured to generate a detailed estimate based on. The generated provisional estimate and detailed estimate may be provided to the user terminal 110 through the communication module 230.

According to one embodiment, the provisional estimate is a construction list based on user information (e.g., an address for an indoor place) and user preference (e.g., user preference for design and structure) included in the received proposal. Can be created by extracting For example, when the received proposal includes bathroom flooring construction as a user preference, bathroom floor tile construction and bathroom floor drain construction may be extracted as a construction list with reference to the material DB 254. The quotation generating module 242 may read the stored price information from the price policy DB 252 based on the first predetermined standard unit price for the extracted construction list. From this price information, a provisional estimate can be generated.

The estimate generating module 242 may receive area information for each space of an indoor place, and extract a construction list based on the received area information and the generated provisional estimate. Here, the area information for each space of the indoor place may be determined based on a drawing of an address included in the user information of the proposal. In addition or alternatively, an interior-related company may measure each space of an indoor place and input area information for each space to the management server 120.

The quotation generating module 242 may extract a construction list based on area information and a provisional estimate for each space received from the management server 120. According to the items of the extracted construction list, the material DB 254 may be referred to, and the type and material or construction service required for interior construction may be determined. Then, the quote generation module 242 may determine a proposed price for each item included in the construction list by referring to the price corresponding to the material or service included in the construction list from the price policy DB 252 . Then, the details of the detailed estimate may be determined based on the extracted construction list and the proposed price determined for the items included in the construction list and the required quantity of materials.

In some embodiments, the area information for each space of the received indoor place may be, for example, a living room 17m², a bedroom 11m², a kitchen 10m², and a bathroom 5m², and the construction list in the temporary estimate is, for example, bathroom floor tile construction. And bathroom floor drain construction. In this case, the construction list may be generated, including items such as bathroom floor waterproofing, bathroom floor tile replacement, bathroom drainage pipe replacement, bathroom excellent pipe replacement, labor cost, material cost, and the like. According to the items of the construction list, the type and quantity of materials required can be determined, and the proposed price for the type of material can also be determined using a second predetermined standard unit price based on the details of the determined construction list. For example, in the case of bathroom floor tile replacement, the type and quantity of materials can be determined with 500 sheets of porcelain Nordic pattern tiles matte (0.01 m² per piece) based on the received information on the area of the bathroom. The suggested price can also be determined as 500,000 won, for example, if it is 10,000 won per 10 matte Nordic pattern tiles.

Finally, labor costs can also be determined according to the construction list. The quotation generating module can read information on the previously determined labor cost from the price policy DB. For example, in the case of a bathroom floor tile replacement, the labor cost may be 100,000 won, and the bathroom drain pipe replacement may be 40,000 won. These, by summing all the costs corresponding to each construction list can determine the labor cost (eg, 140,000 won).

Therefore, it is possible to generate a detailed estimate by determining the details of the construction list based on the received area information. By providing detailed estimates based on temporary estimates and area information, reasonable and transparent interior construction cost and construction information can be provided to users who use interior services.

As described above, area information for each space of an indoor place may be provided by, for example, a manager directly visiting an indoor place to provide an interior service and measuring each space. In addition, a database storing drawing information according to an address of an indoor place may be built inside or outside the management server 120, and 2D drawing information may be read through an address input through a user terminal. A 3D drawing may be generated using this 2D drawing information, and area information for each space may be extracted based on the 3D drawing.

The automatic matching module 244 can read the construction performance and customer satisfaction for a plurality of construction companies from the construction company DB 256, and based on the construction performance and customer satisfaction read from the database 250, at least one It is structured to decide which contractors can be constructed. Here, the constructible construction company may add up the score for the construction performance and the score for the customer satisfaction information, and the summed score among the plurality of construction companies may be greater than or equal to a predetermined threshold. Then, the automatic matching module 244 may select a final construction company from at least one construction workable construction company based on the construction date and the material or construction service of the construction list, respectively. For example, a construction company capable of providing construction materials or construction services for a construction list may be selected as a final construction company, a construction company capable of performing construction on the construction date of the proposal. Here, the final construction company can provide at least one material or service, and the material or construction service is stored in the construction company DB 256 by sorting the materials and/or construction services that can be provided for each construction company. It can be, and it is possible to receive and store related information periodically or aperiodically from a plurality of construction company servers.

In some embodiments, it is assumed that the construction date and user preference included in the proposal is, for example, January 2, 2019, as a wallpaper construction. In this case, the construction performance according to the wallpaper work for each construction company is, for example, 15 times for company A, 15 times for company B, and 5 times for company C, and customer satisfaction is, for example, 7 points for company A, 9 points for company B, and If company C has 2 points, the total score for each construction company can be 22 points for company A, 24 points for company B, and 7 points for company C.If the combined score is more than a predetermined threshold, it can be determined as a constructible contractor. have. If the predetermined threshold is, for example, 22 points, the constructible contractors can be determined as A and B.

The final contractor may provide at least one of a construction list material (eg, an integrated automatic pop-up eye trap drainage pipe) and/or a construction service (eg, electrical work). For contractors, each contractor may have a fixed schedule for each date. Accordingly, a construction company capable of providing at least one of the materials and/or construction services of the construction list may be selected as a constructible construction company, and a final construction company may be selected from such a constructible construction company. Since each contractor is specialized for each field such as electricity and bathroom, multiple final contractors may be selected to provide the entire construction list.

The learning module 246 may generate a detailed estimate based on the reference construction cost, and generate an artificial neural network capable of selecting at least one constructable company among reference constructable companies. For example, the artificial neural network can infer reference construction costs and reference construction companies through supervised learning. Using an artificial neural network-based supervised learning method, a detailed estimate can be generated by inferring a reference construction cost pattern, and one can be constructed by inferring a reference constructionable company pattern. The learning and reasoning process of the artificial neural network will be described in more detail below with reference to FIGS. 5 and 6.

After the interior service is provided, the information collection module 248 may provide a predetermined question item through the user terminal 110 to receive an answer to the question item and collect customer satisfaction information for each construction company. Here, the customer satisfaction information may be scored by applying a weight according to the answer to the question item, and may be sorted and stored for each construction company in the construction company DB 256.

According to some embodiments, the question item may be an overall item related to interior construction, that is, a construction cost, a construction schedule, an interior construction satisfaction level, and a defect repair. For example, compliance with the construction schedule, satisfaction with each space and/or total construction cost, satisfaction with each construction service (e.g., wallpaper, space transformation, etc.), and each construction service and/or each space. It can be a list of repairs for defects (for example, poorly fixed windows, missing screens, poor paper sheets, etc.).

According to an embodiment, an answer to each question item may be scored by applying a weight. For example, when a question item on whether to comply with a construction schedule is provided to the user terminal, the score may be scored by giving a weight of “10” to the answer “complied” and “5” to the answer “not complying”. That is, by collecting information on customer satisfaction and providing defect repair and follow-up management, it is possible to promote the convenience of users using interior services.

3 is a flowchart illustrating a method 300 for providing an interior service according to an embodiment of the present disclosure. As shown in Figure 3, the method 300 for providing an automatic interior quotation service by the management server 120, receiving a proposal requesting an interior service for an indoor place from the user terminal 110 (S310) ) Can be initiated. Here, the proposal is the address of the indoor place input from the user terminal 110, the construction date, the user preference for the design and structure (e.g., spatial transformation, materials, furniture, etc.) It may include. In one embodiment, the proposal may include information input from the user terminal 110, and the management server 120 may receive the proposal and store the information included in the proposal in a database for each user. The received information may be various information including user information such as a user name, an address, a floor space of a residence, a contact information, and a user preference such as a construction date and an interior-related option.

Then, the provisional estimate generated based on the proposal is provided to the user terminal 110 (S320). In this step (S320), the step of extracting the construction list based on the user preference for the address and design and structure for the indoor place, and the step of automatically generating a temporary estimate based on the first predetermined standard unit price for the construction list It may include.

According to some embodiments, the address and user preference for an indoor place may be, for example, XX apartment building X, XX apartment, XX-gu, Seoul, bathroom floor construction. The management server 120 may extract a construction list based on this information. For example, bathroom floor tile construction and bathroom floor drain construction can be extracted as a construction list. Based on the extracted construction list, the first predetermined standard unit price can be read from the price policy DB, and the construction cost can be extracted through the read standard unit price. Therefore, it is possible to automatically generate a temporary estimate from the extracted construction list and construction cost, and provide such a temporary estimate to the user terminal.

In response to the generated provisional estimate, it is possible to receive a construction request request from the user terminal (S330). When receiving the construction request request, area information for each space of an indoor place may be received (S340). Here, the area information may be provided by a manager directly visiting and measuring an indoor place, or may be extracted through a database storing area information for a drawing corresponding to each address.

The management server 120 may generate a detailed estimate including a construction list based on the temporary estimate and the received area information (S350). Then, it is possible to determine at least one constructible construction company based on the construction performance and customer satisfaction for a plurality of construction companies searchable from the construction company DB 256 (S360). The step of determining a construction company (S360) is a step of determining at least one constructible construction company, a step of summing the scores for the construction performance and customer satisfaction information, and the summed score among a plurality of construction companies. It may include the step of selecting a construction company that is equal to or greater than the determined threshold value as at least one constructable construction company.

For example, if the construction performance for each construction company is 20 times for company A, 17 times for company B, and 5 times for company C, and customer satisfaction is 8 points for company A, 9 points for company B, and 2 points for company C. The total score for each construction company can be 28 points for A company, 26 points for company B, and 7 points for company C. Assuming that the summed score has a predetermined threshold of 25 points, companies A and B can be determined as constructable contractors.

Thereafter, based on the construction date and each of the materials or construction services of the construction list, a final construction company may be selected from at least one construction available construction company (S370). In this step (S370), when the construction date of the proposal is not included in the construction schedule of the reference construction company capable of providing materials or construction services of the construction list, the reference construction company is selected as at least one construction available construction company. It may include steps.

Since contractors have different materials that can be supplied or construction services that can be provided, and are specialized in each field (for example, electric work), the final construction companies that can provide such materials or construction services The contractor can be selected. In addition, construction companies that can be constructed may have a construction schedule that decides to provide different interior services for each date. Therefore, at least one of the companies whose construction date and construction schedule included in the proposal do not overlap with each other should be selected as a possible construction company. When the final construction company is selected, information on interior services (eg, address, construction schedule, construction cost, construction list, etc.) can be provided to the terminal of the final construction company using a communication network. After that, it is possible to order interior construction for an indoor place to the final construction company (S380).

4 is a flowchart illustrating a step (S350) of generating a detailed estimate according to an embodiment of the present disclosure. The step of generating a detailed estimate (S350) may begin with a step (S352) of extracting a construction list based on the provisional estimate. According to an embodiment, a construction list may be extracted based on a provisional estimate. For example, if the construction list is a bathroom remodeling work, the construction list will, for example, replace bathtub and toilet bowl, waterproof bathroom floor, replace bathroom floor tile, replace bathroom wall tile, replace bathroom drain pipe, replace bathroom drain pipe, replace labor cost, It can be material costs, etc.

Then, based on the area information for each space, it is possible to determine the required type and quantity of materials listed in the construction list (S354). If the received area information is, for example, a living room of 17m², a bedroom of 11m², a kitchen of 10m², and a bathroom of 5m², and a bathtub replacement among the extracted construction lists, the type and quantity of necessary materials can be determined as one shower faucet and one bathtub each. When the type and quantity of the material are determined, a suggested price for the required type of material may be determined using the second standard unit price determined in advance (S356). For example, the proposed price can be calculated by multiplying the required quantity (e.g., 1 shower faucet, 1 bathtub) determined by the price per each of the shower faucet and bathtub (e.g., 90,000 won for shower and 150,000 won for bathtub). , Based on the determined proposed price and the required quantity of materials, the details of the detailed quotation may be determined (S358). When the suggested price (e.g., 90,000 won for a shower and 150,000 won for a bathtub) and the required quantity of materials (e.g., 1 shower and 1 bathtub) are determined, for example, by summing the calculated suggested prices of required materials, It is possible to determine the details of the detailed quotation by determining the material cost and determining the labor cost (eg, 200,000 won for shower faucet and bathtub installation cost).

5 is a structural diagram showing an artificial neural network 500 according to an embodiment of the present disclosure. The artificial neural network 500 may represent a statistical learning algorithm implemented based on the structure of a biological neural network in machine learning technology and cognitive science. That is, in the artificial neural network 500, nodes, which are artificial neurons that form a network by combining synapses as in a biological neural network, repeatedly adjust the weight of the synapse, and the correct output and inferred output corresponding to a specific input By learning so that the error between them is reduced, it represents a machine learning model having problem solving ability. In general, an artificial neural network is composed of multiple nodes and connections between them.

As shown in FIG. 5, the artificial neural network 500 includes an input layer 520 that receives an input signal or data 510 from the outside, and an output layer that outputs an output signal or data 550 corresponding to the input data ( 540), located between the input layer 520 and the output layer 540, is composed of n hidden layers 530_1 to 530_n that receive a signal from the input layer 520, extract a characteristic, and transmit it to the output layer 540. Here, the output layer 540 receives signals from the hidden layers 530_1 to 530_n and outputs them to the outside.

The learning method of the artificial neural network 500 includes a supervised learning method in which learning is optimized to solve a problem by inputting a teacher signal (correct answer), and an unsupervised learning method that does not require a teacher signal. Method can be included. The interior service providing system according to an embodiment of the present disclosure learns an artificial neural network using machine learning technology in order to provide a more convenient interior service to a user, thereby providing reference area information and reference construction for each space. Analysis of the list, construction performance and customer satisfaction can be performed, and at least one of reference construction costs and reference construction companies can be inferred. Therefore, a detailed estimate can be generated and provided to the user based on the reference construction cost, and the final construction company selected for interior construction by selecting the final construction company from the available construction companies by selecting at least one available construction company as a reference construction company. You can place an order to a company.

According to an embodiment, the artificial neural network 500 may be learned by a supervised learning method of learning to be optimized to solve a problem by inputting a teacher signal (correct answer). The input variable of the artificial neural network 500 may be a reference area and a construction list for each space. Accordingly, the input variable input to the input layer 520 of the artificial neural network 500 is a reference area for each space and a category of information on the construction list, each composed of data elements of one input vector 510, It can be a reference area vector and a construction list vector. For example, if the reference area for each space extracted through the user's address information is 17m² for living room, 11m² for bedroom, 10m² for kitchen, and 5m² for bathroom. In this case, the reference area can be composed of one vector. As an example, a value of 1 may be allocated to elements corresponding to a living room and a bedroom among data elements of a vector, and a value of 0 may be allocated to the remaining elements. In addition, assuming that the user intends to perform floor construction and paperwork construction, the construction list can be configured with one input vector. As an example, among the data elements of the construction list, a value of 1 may be assigned to elements corresponding to floor construction and paperwork construction, and a value of 0 may be assigned to the remaining elements.

The output variable output from the output layer 540 of the artificial neural network 500 may be one output vector 550 representing reference construction cost information for each space. For example, the reference construction cost vector may be composed of data elements of costs related to floor construction and wallpaper construction, such as wallpaper, tile, and wallpaper paste. The artificial neural network 500 can infer a reference construction cost vector corresponding to the input vectors by learning using these input and output variables, and generate a detailed estimate based on the inferred reference construction cost. In the present disclosure, the input and output variables of the artificial neural network 500 as shown in FIG. 5 are not limited to one vector, and may be composed of a plurality of vectors according to the input and output variables.

According to another embodiment, the input variables of the artificial neural network 500 may be construction performance and customer satisfaction. The input variable input to the input layer 520 of the artificial neural network 500 is composed of information on the customer satisfaction for each construction company collected through a survey and the construction performance according to the type of construction service for each construction company. It can be a vector 510. Here, in the construction performance vector, the number of construction performances according to the type of construction service for each construction company may be composed of a vector data element. For example, if a user wants to do floor construction, if the construction performance for each construction company is 10 times for A company, 20 times for B company, and 5 times for C company, the data elements of the vector are "10" and "20, respectively. Can be "and "5". In addition, the data elements of the customer satisfaction vector may be composed of an average score for the customer satisfaction for each construction company collected through previous users. For example, if company A has 7 points, company B has 8 points, and company C has 2 points, the data elements may be composed of "7", "8" and "2", respectively.

The output variable of the artificial neural network 500 may be an output vector 550 indicating information on a reference construction company. For example, the reference constructible company vector may be composed of information related to the reference constructible company, such as the company name and contact information of the corresponding constructor, as a data element. By inferring such a reference constructable company, the extracted reference constructable company may be selected as at least one constructable company.

In this way, by matching a plurality of output variables corresponding to a plurality of input variables to the input layer 520 and the output layer 540 of the artificial neural network 500, respectively, the input layer 520, the hidden layers 530_1 to 530_n, and the output layer By adjusting the synaptic value between nodes included in 540, it is possible to learn to infer a correct output corresponding to a specific input. Through this learning process, the characteristics hidden in the input variable of the artificial neural network 500 can be identified, and the error between the output variable calculated based on the input variable and the target output is reduced. You can adjust the synaptic value (or weight). Using the artificial neural network 500 learned in this way, in response to the input construction request request, it is possible to extract at least one of a reference construction cost for each space and a reference construction company. Therefore, it is possible to provide a detailed estimate to the user based on the reference construction cost, and the reference construction company is selected as at least one construction available company, from which the final construction company can be automatically matched.

6 is a flowchart illustrating a method 600 of providing an interior service using an artificial neural network 500 according to an embodiment of the present disclosure. The interior service providing method 600 using the artificial neural network 500 may be initiated by the management server 120 receiving a proposal (S610) requesting an interior service for an indoor place from the user terminal 110. . In one embodiment, the proposal may include information input from the user terminal 110 (eg, an address for an indoor place and a user preference for a design and structure). After the management server 120 receives the proposal, the communication module 230 provides a provisional estimate generated based on the proposal to the user terminal 110 (S620).

Then, the communication module 230 may receive a construction request request from the user terminal in response to the provisional estimate (S630). When receiving a construction request request, area information for each space in an indoor place may be received (S640), and then, the learning module 246 may generate an artificial neural network 500, and the generated artificial neural network It is possible to learn (500) (S650). In step S650, the artificial neural network 500 receives reference area information and a reference construction list into the input layer 520 of the artificial neural network 500, and at least one of the reference construction cost and reference construction available for each space is extracted. It can be learned as much as possible. The learning module 246 includes area information (for example, areas of living room, bedroom, kitchen, bathroom, etc.) and construction list (for example, on the input floor 520 of the artificial neural network 500) for each space for an indoor place. For example, the artificial neural network 500 can be learned by inputting the floor construction and the paperwork construction) to infer and extract the corresponding reference construction cost. In addition, the learning module 246 inputs the construction performance according to the type of construction service for each construction company and the customer satisfaction level for each construction company into the artificial neural network 500 and extracts the corresponding reference constructionable companies, so that the artificial neural network 500 You can learn.

The estimate generation module 242 may generate a detailed estimate based on the reference construction cost extracted through the learned artificial neural network 500 (S660). Then, it is possible to select at least one constructible company among the reference constructable companies extracted through the artificial neural network 500 learned in step S670. When a contractor is selected, information about interior services (e.g., address, construction schedule, construction cost, construction list, etc.) can be provided to the terminal of the selected construction company using a communication network, and the construction company can be provided with An order for interior construction can be ordered (S680).

7 is an exemplary diagram illustrating an interface 700 for receiving user information and information on an indoor place from a user according to an embodiment of the present disclosure, and FIG. 8 is a design from a user according to an embodiment of the present disclosure. And an example diagram illustrating an interface 800 for receiving a user preference for a structure. According to an embodiment, as shown in FIG. 7, an address for an indoor place to be provided with an interior service and a desired construction date may be input through a user terminal. In addition, the user name, contact information, and the number of floor spaces for indoor places may be input from the user terminal. Here, the user terminal is a suitable terminal device equipped with a user input device (for example, a touch display, a keyboard, a mouse, a touch fan or a stylus, a microphone, a motion recognition sensor, etc.), for example, a personal computer, a smartphone , A tablet computer, or the like, but is not limited thereto.

User preferences for design and structure can also be input through a user terminal. As shown in Fig. 8, for example, a detailed area of an indoor place such as a living room, a kitchen, a nursery, a veranda, a master room, a bathroom, a dressing room, and a warehouse is selected, and the spatial transformation of the area, the wall, the floor, User preferences can be input by selecting detailed items such as windows, ceilings, and furniture.

Through the user terminal, the address of the indoor place, the construction date, and the user preference for the design and structure can be input, and further, the input information (for example, user name, contact information, etc.) entered by the user from the user terminal can be input. I can. Here, the received information may be included in the proposal, and the proposal may be transmitted to the management server using a communication network to request interior services.

9 is an exemplary view 900 illustrating a provisional estimate according to an embodiment of the present disclosure. The provisional estimate may be generated based on a predetermined first standard unit price for the construction list by extracting a construction list based on an address for an indoor place and a user preference for a design and structure. As shown in Fig. 9, a list of constructions based on the proposal (e.g., chassis construction, expansion construction, paperwork construction, floor construction, wood construction, film and painting construction, furniture construction, electrical construction, tile construction and other construction ) Can be extracted. It is possible to generate a temporary estimate by calculating the cost for each of the extracted construction lists, and to provide roughly the contents of the interior service.

10 is an exemplary view showing a detailed estimate 1000 according to an embodiment of the present disclosure. As shown in FIG. 10, the temporary estimate and the detailed estimate generated based on the received area information are illustrated. The user can understand the details of the interior service, such as the type and number of materials, the type of each construction service, material cost and labor cost, etc., more specifically than the temporary estimate through the detailed estimate provided through the user terminal. Accordingly, the user can be provided with a convenient and transparent interior service.

11 is an exemplary diagram illustrating an interface 1100 for collecting customer satisfaction through a user terminal according to an embodiment of the present disclosure. The management server may provide a predetermined question item through the user terminal to receive answers to each question from the user. As shown in FIG. 11, for example, when the question item for the compliance of the construction schedule selects "Compliant", the weight of "10" for this answer and "5" for the answer of "Not complying" You can score by giving. In this way, by outputting various question items related to interior services, receiving answers to them, and storing them in the construction company DB, it is possible to collect customer satisfaction information for each construction company.

12 is an exemplary view showing information 1200 on interior services provided to a terminal of a final construction company according to an embodiment of the present disclosure. Information on the interior service to be provided may be transmitted to the terminal of the final construction company selected by the automatic matching module and/or the learned artificial neural network. Information on the interior service output to the terminal of the contractor may be, for example, a construction name for an interior service, an address of an indoor place, a construction list, a construction cost, a construction schedule, and a specific matter.

In the present specification, the present disclosure has been described with reference to some embodiments, but various modifications and changes may be made without departing from the scope of the present disclosure as understood by those of ordinary skill in the art to which the present disclosure belongs. In addition, such modifications and changes should be considered to fall within the scope of the claims appended to this specification.

110, 110_1 to 110_n: user terminal 120: management server
130: manager terminal 140_1 to 140_n: construction company server
150_1 to 150_n: material vendor server 160: communication network
230: communication module 240: processor
242: Quote creation module 244: Automatic matching module
246: learning module 248: information gathering module
250: Database 252: Pricing DB
254: material DB 256: contractor DB
500: artificial neural network 510: input vector, input data
520: input layer 530_1 to 530_n: hidden layer
540: output layer 550: output vector, output data

Claims (10)

In a method of providing an automatic interior estimate service by a management server,
Receiving a proposal requesting an interior service for an indoor place from a user terminal, the proposal including an address for the indoor place, a construction date, and a user preference for design and structure;
A construction list is extracted based on the address of the indoor place included in the proposal and the user preference for the design and structure, and a provisional estimate automatically generated based on the first predetermined standard unit price for the extracted construction list Providing to the user terminal;
Receiving a construction request request for the temporary estimate from the user terminal;
Extracting area information for each space of the indoor place based on drawing information determined based on the address of the indoor place, and receiving area information for each space of the extracted indoor place;
Learning the artificial neural network so that reference area information and a reference construction list for each space of a plurality of indoor places are input to an input layer of the artificial neural network to extract at least one of a reference construction cost and a reference construction company for each space;
By inputting the area information and the construction list for each space of the indoor place into the artificial neural network, and extracting the reference construction cost through the artificial neural network, a detailed estimate including a construction list is automatically made based on the extracted reference construction cost. Generating with;
By inputting the construction performance and customer satisfaction for a plurality of construction companies into the artificial neural network, extracting a reference constructible company through the artificial neural network, and selecting the extracted reference constructible company as at least one constructible construction company. Determining a contractor;
In order to select a construction company in which the construction date and the construction schedule determined for each construction company do not overlap each other, it is possible to provide materials or construction services of the construction list based on the determined at least one construction available construction company. Among the constructible construction companies, a construction company whose construction date of the proposal is not included in the construction schedule of the construction available construction company capable of providing the construction list or the construction service is selected as at least one final construction company step; And
An interior service providing method comprising the step of placing an order for interior construction on the indoor place to the selected final construction company.
delete delete delete delete In a system that provides an automatic interior estimate service by a management server,
A communication module configured to receive a proposal requesting an interior service for an indoor place from a user terminal, the proposal including an address for the indoor place, a construction date, and a user preference for design and structure;
A database configured to store price policy information, material information, and construction company information from a plurality of construction companies and a plurality of material suppliers.- The database includes a first predetermined standard unit price for a plurality of construction lists and materials required for interior construction. A price policy DB in which the second predetermined standard unit price for service is stored, a material DB in which information on the quantity of materials required for interior provision is stored, and construction schedule information for each of the plurality of construction companies, construction performance Includes construction company DB that stores information and customer satisfaction information -;
A construction list is extracted based on the address of the indoor place included in the proposal and the user preference for the design and structure, and a provisional estimate automatically generated based on the first predetermined standard unit price for the extracted construction list Is provided to the user terminal through the communication module, receives a request for a construction request for the temporary estimate from the user terminal, and the indoor space based on the drawing information determined based on the temporary estimate and the address for the indoor place. The extracted reference construction cost by extracting area information for each space of the place, inputting the area information and the construction list for each space of the indoor place into an artificial neural network, and extracting the reference construction cost through the artificial neural network An estimate generation module configured to automatically generate a detailed estimate including a construction list based on the;
It is configured to learn the artificial neural network so that the reference area information and the reference construction list for each space of a plurality of indoor places are input to the input layer of the artificial neural network to extract at least one of the reference construction cost for each space and a reference construction company. Learning module; And
Construction results and customer satisfaction for a plurality of contractors are inputted into the artificial neural network, and the reference constructable companies are extracted through the artificial neural network, and the extracted reference constructable companies are selected as at least one constructable contractor. Material or construction service of the construction list based on the determined at least one possible construction company, in order to determine a company and select a construction company in which the construction date and the construction schedule determined for each construction company do not overlap with each other. Among the constructible construction companies capable of providing, at least one construction company whose construction date of the proposal is not included in the construction schedule of the material of the construction list or the construction available construction company capable of providing the construction service An interior service providing system comprising an automatic matching module configured to select as a construction company and order interior construction for the indoor place to the selected final construction company. delete delete delete delete

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