KR20020014582A - The auto architectural design and auto architectural consulting service system and the storage thereof - Google Patents

Abstract

PURPOSE: An expert system and a storage for automatic design and consultation are provided to offer a comprehensive consultation service including the building law, a design, the vision of a business, and the validity of a business by employing a program. CONSTITUTION: The system comprises a storage for storing the building law, basic rules, the GIS(Geographic Information System) data, the local statistical data and the land data, an input device(100) for inputting the basic information about the land desired by a user, an application program(110), an expert system engine(120) for reasoning an optimal rule by analyzing the basic information about the land and the data stored in the medium, a lawgic(130) for converting the rule inputted in the natural language format to a machine language, rule databases(150, 151), a rule manager(160), a design engine server(140), a GIS database(152), a GIS manager(161), and a display for displaying a result design. The expert system engine is programmed as clips. The expert engine consists of a reasoning function(121) reasoning an optimal rule and a learning function(122) learning knowledge by analyzing the basic information.

Description

Expert system and storage media for automatic architectural design and automatic consulting

The present invention relates to an expert system for automatic building design and automatic consulting based on basic information of a user, and a program for implementing automatic building design and automatic consulting using a recording medium such as a hard disk, an optical disk or a semiconductor disk. A storage medium for storing.

As a consulting and architectural design program, design support programs are being developed to promote creative and efficient design by actively using computers from the initial planning stage. In other words, it is changing from the concept of Computer Aided Drawing to the concept of Computer Aided Design by preparing the designer to make a design decision in a short time. In addition, all processes are modularized for ease of use in the CAD environment, making it easy for non-experts to use.

These technologies not only influence the real estate related industries such as architecture design, construction company, consulting firm, but also the game industry by developing games by adding game elements on the theme of architecture to simulation strategy games that are popular among modern young people. Is going crazy. Examples of games include Simcity3000, Theme Hospital, Constructor, and Typoon Builder.

However, such a program requires not only a program production technology but also a professional concept of real estate consulting, but no company satisfies it at the same time. As the market for design consists of CAD market, the development of design is sluggish.

A similar program is known as AutoPlan developed by Bulim Information Co., Ltd. and wooden house construction design program of SOFTPLAN of the United States in 1996. AutoPlan of Bulim Information Co., Ltd. Staying in forensic search and data building is far less than inherent automatic design. In addition, SOFTPLAN's wooden house building design program allows the designer to design his / her own projects and comprehensively calculate construction costs and processes. This program is also far from automatic design. Other related programs are design assistant programs based on CAD, but they are far from automatic design, consulting and business review automation programs. .

In addition, most of the users have a wide variety of complex variables that are not able to learn the difficult legal structure as well as the ability to predict long-term social flows such as short-term phenomena and future demand changes.

An object of the present invention is to implement a system that can provide a comprehensive consulting service that provides all the information from the law review related to the construction / land development as described above, architectural design, feasibility review, business feasibility review.

In addition, it aims to implement a popularization service of consulting that users can self-diagnose themselves by implementing a program that can be easily used by anyone as well as experts.

1 is an automatic building design and automatic consulting expert system structure diagram.

2 is an intellectual data production and design flow chart of a design engine.

3 is an internal processing diagram of a natural language interpreter / clip expert system engine.

4 is an inference flow diagram of the expert system.

5 is an internal structural diagram of a storage medium storing an expert program.

6 (6a to 6e) is a conceptual diagram of self-consulting design for automatic building design and automatic consulting.

In order to achieve the above object, the automatic design and automatic consulting system according to the present invention is a storage medium storing laws, basic rules, GIS information, regional statistical data, intellectual data, etc. related to the design, the basic information of the target site that the user wants to analyze An input device for inputting an input, an expert system engine for inferring an optimal rule by analyzing basic information of the target site to be analyzed by the user and data stored in the storage medium, and receiving the function called by the expert system engine It is characterized by consisting of a natural language interpreter for converting the rules searched in the media and input in the form of natural language into the form of machine language which is easy to infer from the engine, and an image device for displaying the designed result.

In a preferred embodiment of the present invention, the expert system further comprises a design engine for designing the results inferred by the execution of the expert program.

In another preferred embodiment of the present invention, the expert system further comprises a rule manager for establishing and managing the knowledge of the expert.

On the other hand, in order to achieve the above object, the program storage medium for automatic design and automatic consulting according to the present invention is a design related laws, basic rules, GIS information, regional statistical data, intellectual data and other related data, the user input basic Self-consulting means to infer optimal rules by analyzing information, laws, basic rules, and GIS information related to the design, and natural language analysis that converts rules input in natural language form into machine language form to execute the expert program. It is made of a storage medium having a means for.

In still another preferred embodiment of the present invention, the storage medium further includes design means for designing a result inferred by the execution of the program.

In still another preferred embodiment of the present invention, the storage medium further includes rule management means for establishing and managing expert knowledge.

In addition, the storage medium of the present invention is characterized in that it can be installed inside or / and outside the system.

In addition, the automatic building design and automatic consulting system according to the present invention can write the rule in the rule editor, the distribution to the user using the storage system or the expert system or can be upgraded using the Internet.

Hereinafter, with reference to the accompanying drawings will be described in detail the configuration and storage device and the embodiment of the automatic building design and automatic consulting expert system.

1 is a structural diagram of an expert system for automatic building design and automatic consulting.

As shown in FIG. 1, the system includes an input device 100, an application program 110, an expert system (artificial intelligence / Clips) engine 120, a natural language interpreter (Lawgic) 130, and a rule database (knowledge base). 150 to 151, the rule manager 160, the design engine and the server 140, the GIS (Geographic Information System) DB 152, and the GIS manager 161 are configured.

The input device 100 is a keyboard 101, a mouse 102, a scanner 103, a video camera 104, or the like.

Application program 110 is a program that is responsible for the smooth communication between the user and the expert system engine through the input device, the authentication program 111 to check the serial number when starting the program for the first time, the target site to be examined Input window 112 for inputting basic information such as land use planning checker, consulting output window 113 showing derived consulting contents, and 3D viewer that outputs VRML (3D) of the designed design from the design engine (115). It consists of). Expert system (artificial intelligence / Clips) engine 120 is a core engine of the system to analyze the basic information of the target site to be analyzed by the user to infer the optimal rule, the clip (CLIPS) which is the optimal language of the inference function Is programmed. This engine is an inference function 121 that infers an optimal rule from a rule DB based on a rule base, and a learning function that generates a result by receiving feedback of a new pattern used by users as a feedback, and generates and adds the knowledge by itself. ) The natural language interpreter (Lawgic) 130 is an engine that receives a function called by the expert system engine, searches for a rule in a rule base, and converts a rule input in a natural language into a machine language that is easy to infer from the engine. The rule database 150 is a database for analyzing and storing expert knowledge and is a basic rule base of the system. The rule manager 160 is a rule editor that enables the experts of the expert system to rule-based knowledge of legal rules, technical rules, expert patterns, and the like, and to modify and manage existing rules. The rule manager can continuously modify and manage rules through access to the Internet or through an expert system program with an increased version. The design engine and the server 140 apply the result inferred from the expert system engine to the corresponding cadastral map of the Geographic Information System (GIS) database to perform automatic architectural design and convert the designed contents into VRML for display in the 3D VIEWER (VRML). It is an engine that does it. Geographic Information System (GIS) is a GIS database 152 is a database that stores the intellectual GIS data of the target site to be analyzed by the user. The GIS manager 161 is a manager for databaseing cadastral maps necessary for real estate consulting and design. The GIS manager 161 is a manager for matching DXF-type CAD data with land status data of each apartment and making a database.

Each engine is combined with each other to perform an organic function as shown in FIG. The organic function of each engine will be described step by step.

Step S10 is a step of inputting basic information. The expert system receives the basic information of the target site that the user wants to analyze (civil use plan confirmation, etc.) and the intellectual information of the target site, and then inputs the basic information of the target site that the user wants to analyze. The step of handing over to the structure suitable for the system engine 120.

In step S12, a function is called to search a rule to be applied to information received as a rule search step in a rule base database, and the natural language interpreter 130 interprets the searched rule into a structure suitable for the expert system engine 120. This step passes data.

The step S14 is a rule search and natural language analysis step, and the rule is searched in the rule bases 150 to 151 composed of natural language and technical rules, and the natural language rules are analyzed.

Step S16 is a step of passing the inferred optimal solution to the design engine / server 140. The design engine / server 140 infers the optimal solution suitable for the content requested by the user from the retrieved rules to implement the automatic architectural design. Step).

Step S18 is a step of extracting the GIS database 152 and constructing and storing the intellectual GIS data of the target site to be analyzed by the user from the cadastral maps and land status data of each site essential for real estate consulting and design. .

The step S20 is a step of implementing the consulting content requested by the user and the built bird's eye view (VRML / 3D) based on the optimal solution deduced as the bird's eye view (VRML) and the consulting output step and the extracted GIS.

In step S22, a rule base and a GIS database management step are to build and manage expert knowledge of consulting and design to be applied to a user's needs, and to build an intellectual GIS database based on a design.

2 is a flowchart of designing and designing intellectual data of the design engine 140.

As shown in FIG. 2, the intellectual data is transformed and processed in four steps to respond to user requests. Several programs are created to go through the following process, and some programs are used.

The step S30 is a step of generating intellectual data, and existing commercially available programs can also be used. Usually, tools such as GeoBase 200 or Auto-cad 201 are used to transfer the contents of the cadastral map. The data formats created here are GDF (202), DWG (203), DXF (204). You can also use your own GIS input program.

The data in the vector form as described above require considerable manual work as a work of digitalizing and replacing the contents of the actual cadastral map. Therefore, this work can be used in combination with various tools depending on the skill and skill of the tool.

Step S32 is a step of database (206), which reads the generated vector data and accumulates it in a simple file format in the database. The accumulated vector data is stored in a relational database (RDB) for easier processing. To a relational database). The modified data is read by the actual "self-consulting" program and provided to the user.

The step S34 is a program transformation step in which the intellectual data transformed into a relational database (RDB) is transformed to meet the needs of the user. In this step, the conversion program 207 is driven to process and convert data and provide the same to the user. In this step, the conversion program inputs, modifies, processes, and outputs normal numeric data or character data, and converts the data in relational database (RDB) format into SVRL format, which is its own format, and presents it to the user. In addition, if the user supports the VRML format, it may be converted to the VRML format and provided to the user.

In step S36, the transformation into the SVRL 209 and VRML 208 formats has no relation to the process of the user actually converting the vector data into the relational database (RDB) format. 209) and the VRML 208 file may be used in consideration of program execution speed and resolution.

3 is an internal processing diagram of the natural language interpreter / clip expert system engine 120.

It is a core engine of the system, which analyzes the user's input information and the terrain, geography, and other information 300 to process and objectify 303 to search and 304 to analyze the corresponding rule in order to infer an optimal rule. )do. The system is programmed in CLIPS, the optimal language of inference. In order to apply the change information when the change information is generated (308), the rule is searched and interpreted again, and then inferred using the rule (306). For this purpose, additional rules DB, regulations DB and related data may be requested, and user may be required to input new data if there is insufficient data. Combine this to generate an output object.

4 is an inference flow diagram of the expert system.

When a query of data occurs (401) inferred 403 about the facts and rules based on the knowledge base and checks whether the data in the knowledge base is updated or reversed (406). If the knowledge base (b) 405 is not updated or reverted, the inference result is stored in the DB (411) and information is provided to the user (415). However, in the case where the knowledge base is updated or reverted (406), non-forging inference 407 and forging inference 412 are performed based on the data. In the case of non-monotonic reasoning, the facts and rules are corrected (408) with the data (b) and the facts and rules are inferred based on the inference result of the data and the corrected data (409) (410). The inference result is stored in a database (411) and then provided to the user (415). On the other hand, in the case of monotonic reasoning (412) determines whether (b) the data is duplicated or overturned with the existing data, and when the duplicated or overturned (413) provides a warning to the user that "it is not maintained" (414). Otherwise, inference 410 with facts and rules is stored 411 in the database and provided to the user (415).

5 is an internal structural diagram of a storage medium storing an expert program.

The storage medium 500 storing the expert program stores an authentication program 501 for authenticating by inputting a serial number at the first time of use, and storing laws, basic rules, GIS information, regional statistical data, and intellectual data related to design. Database 502, self-consulting means 503 for deriving optimal rules by analyzing basic information input by the user and laws, basic rules, and GIS information related to the design, and inputting in natural language form to execute expert programs It consists of means 504 for natural language analysis for converting the rules into machine language.

Further, design means 505 for designing the result inferred by the execution of the program on the storage medium, rule management means 506 for establishing and managing expert knowledge, and GIS management means 507 for managing a GIS database. Can be configured in addition.

FIG. 6 is a self-consulting design conceptual diagram for automatic building design and automatic consulting, which is performed by the automatic building design and automatic consulting expert system shown in FIG. 1.

6A to 6B are basic input and usage selection partial algorithms of a self-consulting design conceptual diagram for automatic building design and automatic consulting.

When the user executes the expert program, the initial screen is displayed 601. In the first use, the program is executed after inputting the serial number 602 for authentication. The user inputs basic information using an input device such as a keyboard, a mouse, a scanner, etc. for architectural design and consulting (603). The basic matters mentioned above may be address, land area, development purpose, area / district, public land price, bond bonds, etc., including cadastral road, road width, sunshine, land type, adjacent land information, etc. You can do In addition, as additional function input items, it is possible to input the selection of electric road, parking type, building type, number of floors, floor height, entrance and the like. The expert system engine 120 determines the type of urban development project based on the basic input information (604). Functions related to urban development projects include land readjustment projects, housing development projects, industrial development projects, redevelopment projects (urban redevelopment projects, housing improvement redevelopment projects), urban development projects, housing site development projects, and residential environment improvement projects. It can be a passenger cargo terminal business, passenger cargo terminal business, industrial complex creation project (national industrial complex, local industrial complex, agricultural industrial complex), tourism complex creation project, hot spring complex creation project, distribution complex creation project, etc. In addition, the expert system engine 120 is based on the land input analysis (605), land ownership analysis (606), land ownership analysis (607), land analysis (608), based on the basic information input Function analysis 609 is performed. The analysis of the site calls and analyzes the intellectual data. The function related to the land category may be land (611), full / answer, forest field, other (612), and in the case of full / answer, forest field, other, if it is possible to change according to the change of land trait (613) It bears various dedicated contributions 514. The expert system engine 120 outputs the result of the function analysis on the urban development project, land title analysis, ownership analysis, non-ownership analysis, land analysis, and land analysis, and analysis of the land category due to the performance to the user (615). .

Based on the result of FIG. 6A, the expert system engine 120 analyzes the location (616) and analyzes the function related to the urban development project (617). Functions related to the urban development project may be traditional buildings, military facilities, conservation reserves, agricultural promotion, park areas, cultural assets, water resources, school environments, entertainment complexes, and the like. In the case of the metropolitan area according to the metropolitan area authorization (618), it is analyzed according to the regional function (619). The domain function may be classified into an overcrowding control zone, a growth management zone, and a natural conservation zone.

After performing the above procedure, the expert system engine 120 classifies it into an urban area 621, a semi-urban area 622, an agricultural and forest area, a semi-farming area, and a natural environment conservation area 624. Urban areas are again analyzed by area of use (629). The use area function is a dedicated residential area, general residential area (one general residential area, two general residential areas, three general residential areas), semi-residential area, general commercial area, central commercial area, distribution commercial area, neighborhood commercial area. It can be composed of area, dedicated industrial area, general industrial area, semi-industrial area, preservation green area, production green area, and natural green area. It is also analyzed for each district (631). The purpose of the function of the earth is the scenic zone, aesthetic zone (1 kind aesthetic zone, 2 aesthetic zone, 3 aesthetic zone, 4 aesthetic zone, 5 aesthetic zone), an apartment district, the lowest altitude district, the highest altitude district, an airport district. It can be composed of parking lot maintenance district, fire prevention district, disaster prevention district, conservation district, facility protection district (school facility protection district, common facility protection district, port facility protection district), consignment district, natural settlement district, urban design district, etc. . This is further analyzed for each application zone (633). The use zone functions include development restriction zone, urbanization zone, wide area planning zone, specific facility limitation zone, school environmental hygiene purification zone (Zheol university environmental purification zone, Sangdae university environmental purification zone), cultural property protection zone, environmental maintenance zone, It can be composed of a port area and a fishing port area. In the case of urban planning facilities (627), roads, rivers, schools, parks (children's parks, neighborhood parks, urban nature parks, cemetery parks, sports parks), amusement parks, parking lots, factories, markets, distribution facilities, plazas, Car stop, railway, comfort, cableway, canal, harbor, airport, green space, playground, network tower, public building, library, water supply, sewerage, community ward, slaughterhouse, cemetery, crematory, waste disposal facility, water pollution prevention facility, Electricity supply facility, reservoir, windbreak facility, gas supply facility, oil storage and oil supply facility, waterproof facility, fire protection facility, all-round facility, protection facility, heat supply facility, research facility, cultural facility, comprehensive medical facility, social welfare facility, broadcasting and telecommunication It is analyzed by classifying facilities, automobile and steam inspection facilities, maintenance facilities, public vocational training facilities junkyards, automobile and steam driving schools, youth training facilities, funeral homes, etc. On the other hand, semi-urban areas can be composed of settlement districts, exercise / recreation, group cemeteries, and facility sites, and agricultural and forest areas consist of agricultural promotion areas, agricultural protection areas, conservation forests, secured forest areas, secure forests, and natural recreation forests. can do.

The expert system engine 120 analyzes the available usages and design regulations for each of the regional areas, the regional areas, and urban areas by the use area, the use district, the use area, and the city planning facility (620, 623, 625, 628, 630). , 632, and 634) to be a single comprehensive rule (635), and based on this, the user selects a use (636).

6C is a demand analysis and model calculation partial algorithm in a self-consulting design conceptual diagram for automatic building design and automatic consulting.

Based on the performance result of FIG. 5B and the regional statistical data DB, the expert system engine 120 extracts the local location data 638 and standardizes the data (639). Correlation analysis (640) of the user's selection and the preferred use to confirm the user and then reselect (641) the user to select the optimal use (642), the expert system engine (120) as a result Output (643). In addition, the expert system engine 120 selects (648) the final model through the case analysis (644), price analysis (645), demand analysis (646), area analysis (647) related to the use and to the final model. Output the results of the legal process according to the procedure (649).

6D is a design progress portion algorithm of a self-consulting design conceptual diagram for automatic building design and automatic consulting.

Based on the design rule data for each application related to the final model of FIG. 6C (650), the expert system engine 120 synthesizes the design rule (651), and completes the design preparation by referring to the intellectual data DB (652) (653). ). Based on the above results, the adjacent site 654, the construction ship 655, the limit of the oblique line 656, the sunshine circle 657, and the floor height 658 are considered. In addition, the maximum building space 659, the building ratio confirmation area 661, the floor area confirmation area 663, and the known confirmation area 665 feed back in consideration of the reduction order conditions 660, 662, 664, and 666. . Meanwhile, the expert system engine 120 confirms the ground parking area by the parking lot design algorithm based on the design result (667) to determine the ground area for each floor (668), and checks the underground installation area (669) for the underground parking area. Confirm (670). In addition, the expert system engine 120 determines the base surface gross area 671 and the floor gross area based on the design result (672) and outputs the result of the legal procedure (673).

6E is a legal review and consulting part algorithm of a self-consulting design conceptual diagram for automatic building design and automatic consulting.

Based on the design of FIG. 6D, the expert system engine 120 determines 667 whether the building area total area suppression is overcrowded. In the case of overpopulated areas based on the location area population data (677), when the area is an urban traffic maintenance area (678), the traffic incurred charge is notified (679), and the traffic impact assessment is performed after the notification (680). . In addition, the expert system engine 120 outputs the result of the legal procedure according to the traffic impact evaluation (681). After the evaluation, the expert system engine 120 examines the business feasibility (682), calculates the expected investment cost (683), estimates the expected profit (684), assess the tax amount (685), calculate the business balance (686) the business balance The output is output to the user (687).

As in the above process, the expert system is derived from a service, a regulation, or a statistical statistics service that allows a user to extract and search only data suitable for the study contents of the target site for the purpose of development or the legal requirements and legal procedures required for the development. Services that provide the best model for the target site with the results, services that provide the planning design automatically according to the development purpose suggested by the optimal model, and profit and loss analysis are automatically reviewed and invested with the area extracted by the design. Implement services that theoretically suggest city business feasibility.

As described above, the system according to the present invention is developed as an expert system solution, which is a field of technical research of artificial intelligence (AI), so that the knowledge of experts in any field can be optimally programmed, and the knowledge is accumulated by the learning function. Towards the end, it is designed to derive the correct answer.

In addition, the system according to the present invention can prevent the trial and error in the business promotion by suggesting the basic conditions for developing the site before the user develops the target site.

In addition, the system according to the present invention may provide a service that allows the user to extract and search only the data suitable for the study content of the target site for the purpose of development or the legal requirements and legal procedures required for the development, and the law or quantitative statistics It can also provide a service that presents the optimal model for the target site with the results derived from the service, and a service that automatically provides the planning design according to the development purpose suggested by the optimal model.

In addition, the system according to the present invention can provide a service that automatically examines the profit and loss analysis with the area extracted by the design and theoretically suggests the feasibility of the investment.

Claims (7)

In expert system for automatic building design and automatic consulting, A storage medium storing laws, basic rules, GIS information, regional statistical data, and intellectual data related to the design; An input device for inputting basic information of an object to be analyzed by a user; An expert system engine for inferring an optimal rule by analyzing basic information of a target site to be analyzed by the user and data stored in the storage medium; A natural language interpreter which receives a function called by the expert system engine and searches the storage medium and converts a rule inputted in a natural language into a machine language that is easy to infer from the engine; And Expert system for automatic building design and automatic consulting, characterized in that consisting of an image device for displaying the result of the design. The expert system of claim 1, further comprising a design engine that shows a result inferred from the expert system engine. The expert system of claim 1, further comprising a rule manager for building and managing expert knowledge. In the program storage medium for automatic architectural design and automatic consulting, Laws, basic rules, GIS information, regional statistical data, and intellectual data related to the design; Self-consulting means for inferring optimal rules by analyzing basic information input by a user and laws, basic rules, and GIS information related to the design; And A program storage medium for automatic architectural design and automatic consulting, comprising a means for interpreting a natural language that converts rules entered in a natural language form into a machine language form to execute an expert program. The program storage medium of claim 4, wherein the storage medium is installable inside or / and outside of the system. 5. The program storage medium of claim 4, wherein the storage medium further comprises design means for designing a result inferred by the program execution. 5. The program storage medium of claim 4, further comprising rule management means for building and managing expert knowledge.