KR20210096353A - Method, server and system for managing building defect - Google Patents

Abstract

The present invention provides a method for managing a building defect which improves security. The method for managing a building defect is executed by a defect management server including a processor and a memory and providing a webpage or an application for inputting defect information into a user terminal, and comprises: a step of receiving personal identification information and building information from a user terminal; a step of receiving defect information transmitted from a user terminal in accordance with a defect checklist based on the building information; a step of storing the defect information in a database; a step of transmitting a defect repair request generated based on the stored defect information to a company device; and a step of receiving repair information including a defect repair plan and construction progress information received from the company device, and transmitting the repair information to the user terminal through the application or the webpage.

Description

Building defect management method, server and system

The present invention relates to a method, server and system for managing defects in a building, and more particularly, it is possible to quickly and systematically cope with defects by conducting self-inspection of new buildings, pre-inspection of occupants, and occupancy management through mobile or online. It relates to a building defect management method, server and system that can efficiently and reliably manage defect-related information by blockchain.

In general, for new buildings, construction companies self-inspect whether there are any defects in the building tens of days prior to the completion of construction, and also conduct preliminary inspections for occupants to satisfy the requirements of occupants. Tenant pre-inspection means that tenants visit the building before moving in and look around to see if there are any defects. For example, in the case of an apartment, a checklist and a sticker for defect check are received from the management office on the day of the pre-inspection, visit the corresponding building, conduct a pre-inspection, and submit the checklist. In addition, as the move-in starts after the completion of the construction permit is approved, move-in management such as issuing the key, reading the meter, checking the facilities, and understanding the moving-in status is performed.

At this time, if a defect is found during the inspection and management process, the original contractor instructs the subcontractor in charge of the construction of the defective part to re-inspect and repair work, and when the repair is completed, the occupant or the head office is notified. .

However, since the procedure from inspection to repair is currently conducted offline and in writing, the delivery of defects is delayed in the process of communication among stakeholders such as the main subcontractor's headquarters, site managers, tenants, and subcontractors, and each party Because they have different viewpoints, it is difficult to accurately determine a defect, which delays the response to the defect.

In addition, since each party manages the data on the occurrence of defects and repair work with separate devices (PCs), double work occurs, which causes negligence in inspection, such as performing only sampling inspection, not total inspection. there is.

In order to solve this problem, systems for handling defect management using a mobile device are being tried.

However, these systems are mainly centered on the construction company or the developer, and all defect-related data is managed by the construction company or the developer, so they do not represent the interests or viewpoints of the tenant or the building owner. In other words, non-professional tenants perform defect inspections based on the checklist provided by the management company or construction company, which is insufficient to properly gain the tenant's trust and understanding. Also, since defect information included in the pre-inspection result of the building is collected and managed by the developer, one of the contracting parties, the occupant, the other party, does not have the right to manage it, so there is a problem of information asymmetry between the parties with conflicting interests. . Therefore, it is difficult to obtain the trust of the tenant, which is the main subject of the contract, and there is a problem in securing the safety and reliability of managing defect information.

Registered Patent Publication No. 10-1422352

An object of the present invention is to provide a method and system for automatically generating a defect checklist based on public information by solving the above problems and providing it to non-expert residents.

The present invention also provides a defect management system and method with improved security so that a resident cannot arbitrarily modify defect information generated through a resident terminal by an administrator, a related company, or an unauthorized person.

Another object of the present invention is to effectively manage data while solving information asymmetry and improving the quality of defect management by making building defect management information into a block chain.

In order to solve the above problems, the building defect management method according to an embodiment of the present invention is a method executed by a defect management server that provides an application or a web page capable of inputting defect information to a user terminal, and , the defect management server includes a processor and memory.

The building defect management method includes: receiving personal identification information and building information from a user terminal; receiving defect information transmitted from a user terminal according to a defect checklist based on the building information; storing the defect information in a database; transmitting a defect repair application generated based on the stored defect information to a company device; and receiving repair information including the defect repair plan and/or construction progress information received from the company device and transmitting the repair information to the user terminal through the application or web page.

Preferably, the defect management server collects architectural information including design drawings by crawling.

The defect management server further includes a learning unit, and the learning unit generates an artificial intelligence learning model by performing machine learning using the collected building information.

The artificial intelligence learning model is generated by machine learning with a design drawing as an input set, and area information and construction information, which are information about the corresponding space, as an output set.

The defect management server further includes a checklist generating unit, and generating a defect checklist from the area information and the construction information by the checklist generating unit.

The personal identification information and the defect information encrypted by the security key further include the step of being stored in separate separate databases, and the defect information is encrypted by a separate security key according to the user, the defect item, and the storage time. .

According to another embodiment of the present invention, the defect management method further comprises the step of storing a hash value of the encrypted defect information on a block chain, wherein the defect item includes area information and construction information, and the defect The information includes defect contents in the form of data of one or more of video, image, text, and voice.

A defect management server according to another embodiment of the present invention includes a processor and a memory. The defect management server performs defect management of a building by providing an application or a web page capable of inputting defect information to a user terminal by a program stored in the memory and executed by the processor.

The program may include: receiving personal identification information and building information from a user terminal; receiving defect information transmitted from a user terminal according to a defect checklist based on the building information; storing the defect information in a database; transmitting a defect repair application generated based on the stored defect information to a company device; and receiving repair information including the defect repair plan and construction progress information received from the company device and transmitting the repair information to the user terminal through the application or web page.

The defect management server further includes a learning unit, and the learning unit generates an artificial intelligence learning model by performing machine learning using the collected building information.

It is preferable that the AI learning model is generated by machine learning using a design drawing as an input set and an output set as area information and construction information, which are information about the corresponding space.

The building defect management server includes a plurality of databases, and the personal identification information and defect information encrypted by the security key are stored in separate databases. The defect information is encrypted by a separate security key according to the user, the defect item, and the storage time.

The hash value of the encrypted defect information is stored on a block chain, and the block chain network in which the hash value is stored includes a user terminal and a building defect management server as block chain nodes.

A defect management system according to another embodiment of the present invention includes a defect management server, a user terminal, and a company device.

The defect management server performs defect management of a building by providing an application or a web page to a user terminal by a program stored in a memory and executed by a processor.

The user terminal may input defect information through the application or web page and receive repair information.

The company device receives the defect request from the defect management server and transmits repair information corresponding thereto.

The personal identification information and building information input to the user terminal are transmitted to the defect management server, and the defect management server receives the defect information input according to the defect checklist based on the building information from the user terminal, and the security key The personal identification information and the defect information encrypted by the are stored in separate databases.

The defect information is encrypted by a separate security key according to the user, defect item, and storage time, and a hash value of the encrypted defect information is stored on the block chain.

The block chain network in which the hash value is stored includes a user terminal and a building defect management server as block chain nodes.

The present invention can solve the information asymmetry of the building defect management system and improve security.

An object of the present invention is to provide a defect management system and method with improved trust and equity between opposing stakeholders by preventing and tracking unauthorized change, correction, or deletion of defect information generated by the tenant.

1 is a schematic diagram of a defect management system according to an embodiment of the present invention, and is a diagram schematically illustrating a relationship between a user terminal, a service management server, a company device, and an external device.
2 is a conceptual diagram schematically illustrating an information transmission/reception relationship between a user terminal, a service management server, and a company device according to an embodiment of the present invention.
FIG. 3 is a view exemplarily showing collection of design drawings for defect inspection of buildings by crawling for AI learning in the service management server according to an embodiment of the present invention.
FIG. 4 is a view exemplarily showing area information and construction information extracted from a design drawing in a service management server according to an embodiment of the present invention.
5 is a diagram schematically illustrating data derived through learning in a design drawing by the learning unit 210 of the service management server, according to an embodiment of the present invention.
6 is a conceptual diagram of storing personal identification information and defect information in a binary manner in a defect management system according to an embodiment of the present invention.
7 is a conceptual diagram of a block chain network and encryption of defect information in a defect management system according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement them. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is “connected” with another part, it is not only “directly connected” but also “electrically or communicatively connected” with another element interposed therebetween. also includes In addition, when a part "includes" a certain component, this means that other components may be further included rather than excluding other components unless otherwise stated.

Hereinafter, embodiments of the present invention will be described in detail.

1 is a service management server 200 and user terminal 100 of the defect management system according to an embodiment of the present invention, a company device 300 that performs or is responsible for construction such as a construction company, and other subcontractors. It is a diagram schematically showing a relationship with an external device 400 to be used.

When a defect management system according to an embodiment of the present invention is described with reference to FIGS. 1 and 2 , the defect management system includes a user terminal 100 , a service management server 200 , and a company device 300 . The user terminal 100 , the service management server 200 , and the company device 300 each include a processor, a memory, and a communication module, and are information processing devices capable of transmitting and receiving data through a wired/wireless communication network.

The tenant or the tenant's agent performs a defect inspection of the building to be moved in using the user terminal 100 possessed, for example, a smartphone, a laptop computer, a smart watch, a tablet PC, and the like, and sends the result to the service management server 200 . send.

The service management server 200 provides an application program or web page for inputting on-site inspection information of a building to be moved in to the user terminal 100 . More specifically about applications, mobile client applications may be compatible with one or more of iOS, Android, Windows and other mobile platforms and are used to enable users to control and manage their overall user experience. Its functions may also be embedded in web pages available through a web browser or single-purpose tablet device.

The methods of the present invention described below are implemented as an application program executed in a user device or an application program embedded in a web page, and the application provides a user interface for input and output to implement the method of the present invention.

The application or web page is provided with a user interface (UI) capable of inputting inspection target building information, for example, a design drawing, a building address (including apartment name, dong, and number) or occupant information.

Referring to FIG. 2 , a resident inputs a design drawing of a building to be inspected, a building address (including apartment name, dong, and number) or resident information from the application and web page provided to the user terminal. The service management server 200 provides a defect check list based on the input building information or resident information to the user terminal. A method of generating a defect check list including one or more defect items by using the input building information will be described later.

According to the defect checklist provided to the user terminal 100, the resident or his/her representative inputs defect information corresponding to various defect items. For example, if the glass of the living room window is cracked, the defect content can be entered in the form of text, voice, photographed image, video, etc. You can enter it by selecting it.

When the user terminal 100 generates a defect report based on the input defect information and transmits it to the service management server 200 through a communication network, the service management server 200 receives and stores the defect report. The defect report includes raw data generated for each user, item, and storage time, each of the raw data is encrypted by a key vault method and transmitted to the service management server 200, and the transmitted encrypted data is transmitted to the service management server ( 200) are stored in the database. The service management server 200 may be a server operated by a separate company that provides a defect management service, but is not limited thereto and may be a server operated by a construction company or a developer.

The service management server 200 may transmit the defect report or defect information to the company device 300 and the external device 400 . The company device 300 suffices as an information processing device of a company responsible for defects in the building, such as a server of a construction company of the corresponding building, a terminal in charge of defects of the construction company, a server of a developer, a terminal of a subcontractor, and the like.

The company device 300 that has received the defect information from the service management server 200 transmits the defect information to the device 400 of the subcontractor either directly or through a third device. The subcontractor or the developer inputs repair information, which is a result of the defect processing, into the company device 300 or the external device 400 and transmits it to the service management server 200 . The service management server 200 checks the received remuneration information, stores it in a database, and transmits it to the user terminal 100 .

Hereinafter, a method of generating a defect check list including one or more defect items by using the building information input to the user terminal 100 will be described in detail with reference to FIGS. 3 to 4 .

As described above, the user terminal 100 is provided with an application program or web page capable of inputting on-site inspection information of the building by the management server 200, and the application or web page is interlocked with the program of the management server. become and run The user terminal 100 is provided with a user interface (UI) for inputting building information (including apartment name, building, number, and design drawings) and personal information by an application or a web page. UI is provided by various means such as visual and auditory means, and personal information includes one or more of the tenant's name, identifier such as ID, address, resident number, phone number, and information about the apartment to be moved in (address, building, number, flat type) do.

When personal information is input through the UI provided to the user terminal 100 , the personal information is transmitted to the management server 200 and stored in the personal information database. When the personal information includes apartment information to be moved in, the management server may transmit a checklist of defects of the corresponding building to the user terminal 100 . In this case, the management server 200 generates a defect check list using the design drawings obtained from the apartment construction company or public information, and provides it to the user terminal.

3 exemplarily shows that the service management server 200 collects apartment information and design drawings by crawling. The management server 200 collects various apartment-related information such as apartment design drawing images and texts by crawling, and after changing the data through a pre-processing process, it is used for machine learning.

In the pre-processing process, black and white replacement of the design drawing, the boundary is obtained by the line on the connecting line, especially the bold line. At this time, the window and door drawing symbols can also be used for boundary classification. In particular, in the case of a door, it can be used to determine whether the space of the boundary divided according to the opening direction is a general room or not. Extract text and images within the boundary, read the text with OCR, predict or understand the role of the boundary in space, recognize what the image within the boundary is, and simply match the perceived content with the role identified by OCR (e.g. - You can confirm the role of the space by comparing it through kitchen/inverter, living room/TV, sofa, toilet/toilet, sink). At this time, if there is dimension information in the drawing, boundary information can be obtained more clearly, and if there is a legend, it is possible to clearly grasp each sign of the drawing by using it for machine learning. Each code in the design drawing can be known through machine learning for the legend image itself, for example, a doorway, a sliding door, etc.

The learning unit 210 of the management server 200 uses the design drawing as an input set, and the output set uses the area information and construction information, which are information about the space, to machine learning, thereby creating an artificial intelligence learning model. create

Specifically, the learning unit uses the design drawing as an input set, and area information (bedroom, living room, bathroom, kitchen, entrance), which is information on the function or use of the area included in the design drawing, and the type of construction (architecture, equipment, electricity, etc.) Construction major classification), hollow construction (mid-classification of construction such as wood window and door construction, tile construction, painting construction, glass construction, etc.), and detailed construction type (wood door frame, PL window, art wall, glass caulking, etc. sub-categories) are output set. do. 4, an example of such area information and construction information is shown as a table.

5 exemplarily shows area information and construction information extracted from the design drawings by the artificial intelligence learning model generated as a result of the machine learning of the learning unit 210 . Design drawings are a worldwide convention, and the expressions of furniture and equipment (bed, toilet, bathtub) are the same, and various images are distributed on the Internet, making it easy to learn. The management server 200 further includes a checklist generating unit, and the checklist generating unit generates a defect checklist from the area information and construction information including the large work type, the hollow type, and the detailed work type. The checklist generating unit generates a defect checklist based on area information and construction information, in particular, a detailed work type using a predetermined table. For example, for living room, architecture, tile construction, and art wall, a lookup table of a form corresponding to tile condition check (breaking, tile floating, etc.) is prepared in advance, and each check corresponding to area information and construction information A defect checklist is created in such a way that defects are determined from the lookup table.

On the other hand, the apartment information collected by crawling includes a specific apartment building at a specific location, a floor plan, and a design drawing, and a design drawing corresponding to a specific apartment building number is stored, and the specific apartment building and lake number through the user terminal 100 are stored. When inputting , there is no need to input the design drawing from the user terminal because the corresponding design drawing and the defect checklist generated therefrom are related.

In this way, when a defect checklist is generated from a design drawing using an artificial intelligence learning model, the management server can automatically generate a defect checklist of a building such as an apartment without obtaining additional information from the construction company. Through continuous machine learning, the accuracy of extraction of domain information and process information of the AI learning model is improved, and the learned result is more accurate and sophisticated through correction by apartment tenants or by managers and contractors.

Meanwhile, the resident checks the defects of the building according to the defect checklist provided to the user terminal 100 and inputs defect information. For example, check whether there is any defect in the glass of the window frame of the bedroom 1, and if there is a crack in the glass, take a picture with the camera included in the user terminal and input the captured image or video. By making it possible to recognize the situation only with a picture, it can be recognized by an artificial intelligence algorithm that 'the window is cracked', and it can be set as the default to provide user convenience, and the accumulated pictures and defects can be continuously displayed If you learn with , you can organize it without additional input.

In addition, the defect content of "gold in the window" may be input by text or voice, but is not limited thereto.

Alternatively or additionally, the defect checklist may be generated by an artificial intelligence learning model input in advance to the user terminal 100 . That is, the artificial intelligence learning model generated by machine learning in the learning unit 210 of the management server 200 may be transmitted to the user terminal 100 and stored in advance or updated from time to time. When a design drawing is captured and input through the camera module included in the user terminal 100, a defect checklist is generated in the user terminal 100, not the management server 200, using an artificial intelligence learning model based on the design drawing. may be In this case, the method of generating the defect checklist is generated in such a way that each defect to be checked is determined in a lookup table, etc. based on the area information and process information extracted by the artificial intelligence learning model.

Another embodiment of the present invention will be described in detail below with reference to FIGS. 6 to 8 . Defect information input through the user terminal 100 is transmitted to the management server 200, respectively, and stored in the defect database. However, in the case of a server connected to various external devices such as a terminal through a communication network as described above, it may be exposed to attacks by external hackers, and the possibility of being arbitrarily modified by the manager of the management server 200 cannot be excluded. In particular, when the management server 200 is operated by a construction company or a developer, defect information may be corrected or changed in an advantageous manner by a contractor who is a stakeholder as one side of the contract, so that trust cannot be given to the occupant or the owner.

In order to solve this problem, the present inventor separates defect-related data and stores defect information and personal information in different databases, but encrypts the defect information and personal information with a separate security key and stores them, , and block-chain the defect information and security key for each item.

6 is a diagram schematically showing the structure and data dualization of the management server 200, and the defect information database 261 and the personal information database 262 are managed and monitored by the management server 200, and included in the management server. Preferably, a separate storage device may be provided.

Referring to FIG. 6 , defect information and personal identification information in the user terminal 100 possessed by individual users are encrypted by different encryption keys and transmitted to the management server 200 . Information encrypted by different encryption keys is stored in the databases 261 and 262 of the management server 200 . Defect information stored in the database is separate data for each user, item, and storage time, and is encrypted with a different security key. That is, individual defect contents (glass break photos, voices and texts explaining the damage contents) are encrypted into one raw data and stored in the defect information database 261 .

Personal identification information includes user (resident) identifier (ID), name, resident number, and address of the building owned. Defect information includes user identifier, defect item information (building information, area information, process information), defect content, and time information. Defect contents include image or video, text, and voice of the defect, and other defect information excluding the defect content, such as user identifier, defect item information, and storage time, may be stored as metadata of defect content data, It may be stored together as structured defect information.

For example, defect information includes user ID, 00-dong, 00-dong, 00-dong, 00-gu, Seoul. It may contain data.

As shown in FIG. 7 , the defect information or defect content for each user item is encrypted and stored by a separate security key according to the user, defect item, and storage time, and then transmitted to the management server 200 and transmitted to the database 261 ) is stored in Separately, the user's personal identification information is also encrypted and transmitted to the management server and stored in the database 262 . At this time, the security key is managed and extracted by the key vault by applying different security keys depending on the user, defect item, and storage time.

That is, the security keys are stored in a separate security key storage and are linked to the application and management server programs by the API. In order for the company's device to access specific defect information and the user's personal information through the management server, the user's approval is required. In this case, the general method of key vault is followed. That is, the user can recognize the key values used for encryption by ejecting them from the key vault. At this time, the key vault requires authentication for the user, and if authentication is successful, it is managed with the same API method provided by the key vault. Notify the server.

In the user terminal 100, a hash value of each encrypted item-by-item defect information (raw data) is derived by a hash function. The hash value of the defect information raw data, the block version according to the storage time, and a pointer of the raw data for each encrypted item (data position / file path, address / storage according to the storage type of defect information-File/Database-) location), user ID, security key of the flaw information raw data, and data type (defect item) as blocks can be formed and stored. Here, the management server 200 or the user terminal 100 into which the corresponding defect information is input generates a corresponding block as a genesis node, and includes the user terminals 100 , the company devices 300 , and the management server 200 . A private chain can be considered. In this private chain, a hash value of raw data, a block including a user identifier, a security key, and a defect item are stored as a distributed ledger.

Each block has a block header, a block value (a hash value of the flaw information raw data, a block version according to the storage time, a pointer of the raw data for each encrypted item, a user ID, and a security key and data type of the raw data) ), the block hash value is included and stored in the private chain.

By another method, smart contract information is stored, allowing lawyers and the like to refer to the data in addition.

The present invention dualizes personal identification information and defect information, encrypts them with different security keys, and stores them in the database of the management server. .

On the other hand, forgery and falsification of centralized defect information by forming a block chain including the hash value of the defect information, especially the encrypted raw data of the defect, user identifier, raw data pointer, and security key, and storing it distributedly in the private chain including the user terminal. can be prevented and confirmed.

When a hacker or an arbitrary party forges or modifies the defect information stored in the database of the management server, the hash value of the raw data changes. By collating the block hash values, it is easy to check whether forgery or not. In addition, the raw data of defect information itself has a large capacity, so it is not suitable for blockchain. Therefore, while the defect information itself is centralized, data forgery can be monitored by making the hash value of the defect information (raw data) into a blockchain.

When implemented as a single server, the defect management server 200 is a computer in which computer readable program code or process implementation instructions can be executed, and includes a processor, a storage unit (memory or permanent storage), a communication unit, and an input/output unit. A processor is used to execute instructions for software that may be loaded into memory, and may be a set of one or more processors or a multi-processor core (depending on the particular implementation). A processor may also be implemented using one or more disparate processor systems where the main processor is on a single chip, or in another example, a symmetric multiple processor (SMP) system that includes multiple processors of the same type.

The user terminal 100 is an information processing device carried by the user, and may include a processor, a memory, a communication module, a GPS module for providing location information, and an acceleration sensor for acquiring the user's exercise information. The user device is, for example, a wearable device such as a smart watch, a smart phone, a tablet PC, and the like, and is not limited by the type of information processing device capable of communicating with the outside and detecting a location.

In this specification, "unit" may be a hardware component such as a processor or circuit, and/or a software component executed by a hardware component such as a processor.

The above description of the present invention is for illustration, and those of ordinary skill in the art to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

100: user terminal 200: management server

Claims (10)

As a building defect management method comprising a processor and a memory, and executed by a defect management server that provides an application or web page capable of inputting defect information to a user terminal,
Receiving personal identification information and building information from the user terminal;
receiving defect information transmitted from a user terminal according to a defect checklist based on the building information;
storing the defect information in a database;
transmitting a defect repair application generated based on the stored defect information to a company device; and
Receiving repair information including the defect repair plan and construction progress information received from the company device, and transmitting the repair information to the user terminal through the application or web page; Building defect management method comprising a.
According to claim 1,
The defect management server collects architectural information including design drawings by crawling,
The defect management server further includes a learning unit, and the learning unit generates an artificial intelligence learning model by performing machine learning using the collected building information,
The artificial intelligence learning model is a building defect management method, characterized in that the design drawing as an input set (set) and the output set (set) is generated by machine learning using area information and construction information that are information about the space.
3. The method of claim 2,
The defect management server further comprises a checklist generator,
Building defect management method further comprising; generating a defect checklist from the area information and the construction information by the checklist generator.
According to claim 1,
The personal identification information and defect information encrypted by the security key further comprising the step of storing each in a separate and separate database,
Defect information is a building defect management method, characterized in that it is encrypted by a separate security key according to the user, defect item, and storage time.
5. The method of claim 4,
Storing the hash value of the encrypted defect information on the block chain; further comprising,
The defect items include area information and construction information,
The defect information is a building defect management method including defect contents in the form of data in one or more of video, image, text, and voice.
processor and memory;
As a defect management server that performs defect management of a building by providing an application or a web page that can input defect information to a user terminal by a program stored in the memory and executed by the processor,
The program is
receiving personal identification information and building information from the user terminal;
receiving defect information transmitted from a user terminal according to a defect checklist based on the building information;
storing the defect information in a database;
transmitting a defect repair application generated based on the stored defect information to a company device; and
Receiving repair information including the defect repair plan and construction progress information received from the company device, and transmitting the repair information to the user terminal through the application or web page; Defect management server comprising a.
7. The method of claim 6,
The defect management server further includes a learning unit, and the learning unit generates an artificial intelligence learning model by performing machine learning using the collected building information,
The artificial intelligence learning model is a building defect management server, characterized in that the design drawing is an input set (set) and the output set (set) is generated by machine learning using area information and construction information that are information about the space.
7. The method of claim 6,
The building defect management server is provided with a plurality of databases,
The personal identification information and defect information encrypted by the security key are stored in separate databases,
The defect information is a building defect management server, characterized in that it is encrypted by a separate security key according to the user, the defect item and the storage time.
9. The method of claim 8,
The hash value of the encrypted defect information is stored on the block chain,
The block chain network in which the hash value is stored is a building defect management server, characterized in that it includes a user terminal and a building defect management server as a block chain node.
A defect management server that performs defect management of a building by providing an application or a web page to a user terminal by a program stored in the memory and executed by the processor;
a user terminal capable of inputting defect information and receiving repair information through the application or web page; and
A building defect management system comprising a company device for receiving a defect request from the defect management server and transmitting repair information corresponding thereto,
The personal identification information and building information input to the user terminal are transmitted to the defect management server,
The defect management server receives the defect information input according to the defect checklist based on the building information from the user terminal, and stores the personal identification information and the defect information encrypted by the security key in separate databases,
The defect information is encrypted by a separate security key according to the user, defect item, and storage time, and the hash value of the encrypted defect information is stored on the block chain,
The block chain network in which the hash value is stored is a building defect management system, characterized in that it includes a user terminal and a building defect management server as a block chain node.

Images