Building model construction method and system and storage medium

Abstract

The invention provides a building model construction method and system and a storage medium. The method comprises the steps that user trajectory data are acquired; according to the GPS precision valueand the characteristic value of the user track data, clustering to obtain the entrance and exit positions of the building; analyzing the outer contour of the building according to the entrance and exit positions; clustering based on the user trajectory data to obtain the storey height of each storey of the building; and calculating the height of the building according to the air pressure data inthe user track data, and establishing a building model by combining the external contour and the storey height of each storey of the building. According to the method and the system, the building model which is relatively accurate and does not need to be periodically and manually updated can be established without depending on manual acquisition in a mode of clustering the user track big data.

Description

technical field [0001] The invention relates to the technical field of big data analysis, in particular to a building model construction method, system and storage medium. Background technique [0002] At present, there are already many technologies to identify indoor three-dimensional floors of buildings, such as artificially constructing three-dimensional building models based on indoor map drawing and collection of wireless signals (such as WiFi, BLE, IBeacon, etc.) on different floors, and calculating altitude based on air pressure and Combining WiFi to build three-dimensional building models, etc. However, these methods have their drawbacks: [0003] 1. There is a problem of high modeling cost. Each building needs to draw an indoor map first, and needs to manually collect the signal, and then bind the signal with the corresponding floor. [0004] 2. Although the cost is reduced based on the combination of air pressure and altitude combined with WiFi, manual collectio...

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Problems solved by technology

[0004] 2. Although the cost is reduced based on the combination of air pressure and altitude combined with WiFi, manual collection is still required, and the accuracy of floor recognition is not high. After collection, when the WiFi device changes, the floor recognition will be wrong. To ensure The model is always valid and available, it needs to be updated periodically

[0005] 3. The modeling method is not widely applicable to general commercial scenarios

As long as the schemes that require manual collection and measurement have this problem, they cannot cover all types of buildings, and the scope of application is often limited to public places such as shopping malls, large supermarkets, bookstores, museums, etc., and ordinary residential areas and other professional collectors cannot enter of buildings cannot be applied

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