A method for calibrating and drawing three-dimensional noise maps based on vertical measured data

Through the three-dimensional noise map calibration and drawing method based on vertical measured data, the problem that noise maps in the prior art are difficult to fully reflect the impact of noise on human life and the cumbersome model calibration is solved, and the intuitive display of three-dimensional noise distribution and the high accuracy of noise maps are achieved, providing a scientific basis for noise control.

CN119762693APending Publication Date: 2025-04-04CHINA NAT ENVIRONMENTAL MONITORING CENT
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Patent Information

Application Number
CN202411816543.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-11
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

The prior art has shortcomings in the drawing and application of noise maps, which are difficult to fully reflect the impact of noise on human life. The model calibration process is cumbersome and inefficient, and lacks intelligent calibration methods.

Method used

The three-dimensional noise map calibration and drawing method based on vertical measured data is adopted, and the denoising processing and equipment error calibration is performed through deep learning models. The three-dimensional noise distribution model is constructed using geographic information system and three-dimensional visualization technology, and combined with multimodal data fusion algorithm and parameter optimization algorithm, the model parameters are adjusted to improve accuracy.

Benefits of technology

The three-dimensional display of noise maps is realized, which can more intuitively reflect the distribution of noise in three-dimensional space, comprehensively reflect the impact of physical noise levels and spatial distribution, improve the accuracy and applicability of noise maps, and provide a scientific basis for noise control and governance.

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Abstract

The present invention relates to the technical field of three-dimensional noise map drawing, and specifically discloses a three-dimensional noise map calibration and drawing method based on vertical measured data, including: S1, obtaining multi-dimensional noise data and noise perception related data in the region, S2, constructing a preliminary three-dimensional noise distribution model, S3, drawing a noise perception contour map, S4, comparing the drawn noise contour map with the measured data and the perception data, identifying errors and S5, generating a risk map, and outputting a three-dimensional noise map; the present invention utilizes a geographic information system and three-dimensional visualization technology, combined with vertical measured data, to construct a preliminary three-dimensional noise distribution model, which can intuitively display the distribution of noise in three-dimensional space. Through a multimodal data fusion algorithm, the spatiotemporal weights of vertical monitoring data are introduced into the model, realizing the comprehensive embodiment of the physical noise level and spatial distribution impact, making the noise map closer to people's reality.
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