Urban planning querying system and urban planning querying method

Abstract

An urban planning query system includes a communication unit, a storage unit, and a processing unit. The communication unit connects a terminal device and a geographic information server. The storage unit stores a planning database and a generative artificial intelligence model. The processing unit connects to the communication unit and the storage unit and is configured to perform the following steps: receiving real estate information and a query command from the terminal device; obtaining geospatial data from the geographic information server based on the real estate information; obtaining urban planning data corresponding to the geospatial data from the planning database based on the geospatial data; and importing the urban planning data and the query command into the generative artificial intelligence model to generate an urban planning regulation table corresponding to the query command. This improves data collection efficiency and reduces manual typing errors.

Claims

1. An urban planning query system for generating an urban planning regulation table, the urban planning query system comprising: a communication unit for signal connection to a terminal device and a geographic information server; a storage unit for storing a planning database and a generative artificial intelligence model; and a processing unit signal-connected to the communication unit and the storage unit, the processing unit configured to perform the following steps: signal-connecting to the terminal device via the communication unit and receiving real estate information and a query command from the terminal device; signal-connecting to the geographic information server via the communication unit and obtaining geospatial data corresponding to the real estate information from the geographic information server based on the real estate information; obtaining urban planning data corresponding to the geospatial data from the planning database based on the geospatial data; and importing the urban planning data and the query command into the generative artificial intelligence model, causing the generative artificial intelligence model to generate the urban planning regulation table corresponding to the query command based on the urban planning data; wherein... The generative artificial intelligence model performs a vectorization operation on the urban planning data and the query command to convert the urban planning data and the query command into a first semantic vector and a second semantic vector, respectively. The generative artificial intelligence model then performs a similarity comparison operation on the first semantic vector and the second semantic vector to find the most relevant content to the query command in a major planning data, a detailed planning data and a usage zoning data of the urban planning data to obtain a similarity result, and generates the urban planning regulations table based on the similarity result.

2. The urban planning query system as described in request item 1, wherein, The real estate information is either cadastral information or address information, and the geographic information server includes a first collaboration platform and a second collaboration platform; when the real estate information is cadastral information, the processing unit connects to the first collaboration platform via the communication unit signal and obtains the geospatial data corresponding to the cadastral information from the first collaboration platform; and when the real estate information is address information, the processing unit connects to the second collaboration platform via the communication unit signal and obtains the geospatial data corresponding to the address information from the second collaboration platform.

3. The urban planning query system as described in claim 1, wherein the planning database contains multiple planning data, each corresponding to a multiple land area, and the processing unit determines that the geospatial data is located in one of the land areas, thereby selecting one of the planning data from the planning database as the urban planning data based on that land area.

4. The urban planning query system as described in claim 1, wherein the urban planning data includes at least a statutory building coverage ratio, a statutory floor area ratio, a permitted use item, a minimum building site area, a building setback, a floor area bonus, a floor area transfer, a parking space, an excavation ratio, a scope of urban design review, and a special provision.

5. The urban planning query system as described in claim 1, wherein the communication unit connects to the terminal device via an application programming interface (API) signal.

6. The urban planning query system as described in claim 1, wherein the generative artificial intelligence model is a large language model (LLM).

7. A method for querying urban planning, used to generate an urban planning regulation table, the method comprising the following steps: A processing unit connects to a terminal device via a communication unit signal, and receives real estate information and a query command from the terminal device; The processing unit connects to a geographic information server via the communication unit signal, and obtains geospatial data corresponding to the real estate information from the geographic information server based on the real estate information; The processing unit obtains urban planning data corresponding to the geospatial data from a planning database in a storage unit based on the geospatial data; and The processing unit imports the urban planning data and the query command into a generative artificial intelligence model in the storage unit, so that the generative artificial intelligence model generates the urban planning regulation table corresponding to the query command based on the urban planning data; wherein, The generative artificial intelligence model performs a vectorization operation on the urban planning data and the query command to convert the urban planning data and the query command into a first semantic vector and a second semantic vector, respectively. The generative artificial intelligence model then performs a similarity comparison operation on the first semantic vector and the second semantic vector to find the most relevant content to the query command in a major planning data, a detailed planning data and a usage zoning data of the urban planning data to obtain a similarity result, and generates the urban planning regulations table based on the similarity result.

8. The urban planning query method as described in request item 7, wherein, The real estate information is either cadastral information or address information, and the geographic information server includes a first collaboration platform and a second collaboration platform; when the real estate information is cadastral information, the processing unit connects to the first collaboration platform via the communication unit signal and obtains the geospatial data corresponding to the cadastral information from the first collaboration platform; and when the real estate information is address information, the processing unit connects to the second collaboration platform via the communication unit signal and obtains the geospatial data corresponding to the address information from the second collaboration platform.

9. The urban planning query method as described in claim 7, wherein the planning database contains multiple planning data, each corresponding to a multiple land area, and the processing unit determines that the geospatial data is located in one of the land areas, thereby selecting one of the planning data from the planning database as the urban planning data based on that land area.

10. The urban planning inquiry method as described in claim 7, wherein the urban planning data includes at least a statutory building coverage ratio, a statutory floor area ratio, a permitted use item, a minimum building site area, a building setback, a floor area bonus, a floor area transfer, a parking space, an excavation ratio, a scope of urban design review, and a special provision.

11. The urban planning query method as described in claim 7, wherein the communication unit is connected to the terminal device via an application programming interface (API) signal.

12. The urban planning query method as described in claim 7, wherein the generative artificial intelligence model is a large language model (LLM).

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