A method for collecting indoor and outdoor linkage data of house and property listings

Abstract

The present invention discloses a method for the linkage collection of indoor and outdoor industry of a house and building table, the method comprising a house and building table collection task, a house and building table spatiotemporal multimedia data collection, timely data uploading to a cloud server, industry house and building table generation, industry house and building table inspection, and industry house and building table determination results. The present invention provides effective technical support for the rapid and accurate collection of house and building table data through the method of linkage collection of indoor and outdoor industry, makes up for the problems of errors and omissions in data processing in the indoor industry due to the separate collection of indoor and outdoor industry, inability to modify in time, and high rework cost, and has good practicality.

Description

Technical Field

[0001] The present invention relates to a data collection method, and in particular to a method for linked collection of data between indoor and outdoor areas of a house and building complex. Background Art

[0002] There are currently two main methods for collecting housing and real estate data. One is to use CAD drawings and EXCEL tables. This method is difficult to obtain data and can only be obtained by government departments. The subsequent data sorting workload is large. The other method is to do field work first and then internal work. This method will lead to errors and omissions in the internal data processing, which cannot be modified in time and has high rework costs. Summary of the invention

[0003] Purpose of the invention: The present invention aims to provide a method for quickly and accurately collecting data of house and building tables by integrating indoor and outdoor operations.

[0004] Technical solution: The method of the present invention for the coordinated collection of indoor and outdoor housing and real estate lists includes the collection tasks of housing and real estate lists, the collection of spatiotemporal multimedia data of housing and real estate lists, timely uploading of data to a cloud server, generation of industry housing and real estate lists, inspection of industry housing and real estate lists, and determination of results of industry housing and real estate lists.

[0005] The method comprises the following steps:

[0006] S1: Collect spatiotemporal multimedia data of housing and real estate tables through the mobile phone APP;

[0007] S2: Shared cloud server channel information;

[0008] S3: Number of building basic graphic divisions = number of units * number of households per unit;

[0009] S4: The basic graphics of the building are divided into a corresponding number of faces through the spatial analysis function (face segmentation) of geographic information software coding technology (such as ArcGIS 10.0);

[0010] S5: Each floor stretching height range = (number of floors - 1) * 3 meters to number of floors * 3 meters;

[0011] S6: Using the spatial stretching function (3D stretching) of geographic information software coding technology (e.g., ArcGIS 10.0), the segmented surface is stretched according to the stretching height range of each layer, and a 3D polyhedron of each layer and each household is constructed to form a 3D house property table;

[0012] S7: Load the generated house and property table in the indoor map scene;

[0013] S8: Check the correctness, completeness, and logical consistency of the data graphics and attributes of the house and property table to ensure the quality of storage;

[0014] S9: Use the modification tool and the APP to interactively modify the inspection results.

[0015] In the present invention, the house and building table collection task is carried out by using a field mobile phone APP; the house and building table spatiotemporal multimedia data collection is carried out by using navigation to locate the work location; the house and building table spatiotemporal multimedia data collection includes the building table, map positioning coordinates, building coordinates and audio and video information.

[0016] Beneficial effects: Compared with the prior art, the present invention has the following significant advantages: through the method of joint collection of indoor and outdoor work, it provides effective technical support for the rapid and accurate collection of house and real estate table data, and makes up for the problem that the separate collection of indoor and outdoor work leads to errors and omissions in the internal data processing, and the data cannot be modified in time, and the rework cost is high, and it has good practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a flow chart of the indoor and outdoor linkage collection method of the house and building table of the present invention;

[0018] Figure 2 This is the spatiotemporal multimedia data organization method of the house and building table of the present invention. DETAILED DESCRIPTION

[0019] The following is combined with Figure 1-Figure 2 The technical solution of the present invention is further described.

[0020] As shown in the figure, a method for the coordinated collection of indoor and outdoor housing and real estate tables is provided, the method includes the task of collecting housing and real estate tables, collecting spatiotemporal multimedia data of housing and real estate tables, uploading data to a cloud server in a timely manner, generating housing and real estate tables within the industry, checking housing and real estate tables within the industry, and determining the results of housing and real estate tables within the industry.

[0021] The method comprises the following steps:

[0022] S1: Collect spatiotemporal multimedia data of housing and real estate tables through the mobile phone APP;

[0023] S2: Shared cloud server channel information;

[0024] S3: Number of building basic graphic divisions = number of units * number of households per unit;

[0025] S4: The basic graphics of the building are divided into a corresponding number of faces through the spatial analysis function (face segmentation) of geographic information software coding technology (such as ArcGIS 10.0);

[0026] S5: Each floor stretching height range = (number of floors - 1) * 3 meters to number of floors * 3 meters;

[0027] S6: Using the spatial stretching function (3D stretching) of geographic information software coding technology (e.g., ArcGIS 10.0), the segmented surface is stretched according to the stretching height range of each layer, and a 3D polyhedron of each layer and each household is constructed to form a 3D house property table;

[0028] S7: Load the generated house and property table in the indoor map scene;

[0029] S8: Check the correctness, completeness, and logical consistency of the data graphics and attributes of the house and property table to ensure the quality of storage;

[0030] S9: Use the modification tool and the APP to interactively modify the inspection results.

[0031] The task of collecting house and property lists is done using a field mobile phone APP.

[0032] The spatiotemporal multimedia data collection of house and property tables uses navigation to locate the work location.

[0033] The spatiotemporal multimedia data collection of house and property tables includes property tables, map location coordinates, building coordinates, and audio and video information.

Claims

1. A method for collecting indoor and outdoor data of house and building complexes, characterized in that: The method includes house and building list collection tasks, house and building list spatiotemporal multimedia data collection, timely data upload to a cloud server, industry house and building list generation, industry house and building list inspection, and industry house and building list determination results; The method comprises the following steps: S1: Collect spatiotemporal multimedia data of housing and real estate tables through the mobile phone APP; S2: Shared cloud server channel information; S3: Number of building basic graphic divisions = number of units * number of households per unit; S4: The basic graphics of the building are divided into a corresponding number of faces by using the face segmentation spatial analysis function of ArcGIS 10.0; S5: Each floor stretching height range = (number of floors - 1) * 3 meters to number of floors * 3 meters; S6: By using the three-dimensional space stretching function of ArcGIS 10.0, the segmented surface is stretched according to the stretching height range of each layer, and a three-dimensional polyhedron of each floor and each household is constructed to form a three-dimensional housing property table; S7: Load the generated house and property table in the indoor map scene; S8: Check the correctness, completeness and logical consistency of the data graphics and attributes of the house and property table to ensure the quality of storage; S9: Use the modification tool and the APP to interactively modify the inspection results; The house and building table collection task is carried out using a field mobile phone APP; The spatiotemporal multimedia data collection of the house and building table is located at the work place by navigation; The spatiotemporal multimedia data collection of the house and building table includes the building table, map positioning coordinates, building coordinates and audio and video information.

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