CN-121577150-B - Urban acoustic environment portrait generation method and system capable of adaptively adjusting granularity

CN121577150BCN 121577150 BCN121577150 BCN 121577150BCN-121577150-B

Abstract

The invention relates to a method and a system for generating an urban acoustic environment portrait, which can adaptively adjust granularity. The method comprises the steps of carrying out block division on a target area to obtain a plurality of divided blocks, selecting the plurality of divided blocks as monitoring blocks, setting acoustic environment monitoring equipment, enabling the other divided blocks to be regarded as interpolation blocks, continuously carrying out acoustic environment data monitoring through the plurality of acoustic environment monitoring equipment to continuously obtain acoustic environment monitoring data corresponding to the plurality of monitoring blocks, determining the plurality of target blocks again from all interpolation blocks based on acoustic environment wind control data corresponding to the plurality of divided blocks, staged acoustic environment data and block position information corresponding to the plurality of divided blocks in a staged mode, and continuously carrying out interpolation operation on the currently determined plurality of target blocks based on current acoustic environment monitoring data corresponding to the plurality of monitoring blocks to obtain current acoustic environment monitoring data corresponding to the plurality of target blocks, and further continuously obtaining urban acoustic environment images.

Inventors

WANG JINGCHANG
LIU YANG
HUANG HUAN
HU KAN
YANG LE

Assignees

杭州尚青科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (9)

1. A city sound environment portrait generating method capable of adaptively adjusting granularity is characterized by comprising the following steps: performing block division on the target area to obtain a plurality of divided blocks, dispersedly selecting the plurality of divided blocks in the target area to serve as monitoring blocks, taking the rest of divided blocks as interpolation blocks, and respectively setting acoustic environment monitoring equipment in the plurality of monitoring blocks; continuously monitoring the acoustic environment data through acoustic environment monitoring equipment in the plurality of monitoring blocks so as to continuously acquire acoustic environment monitoring data corresponding to the plurality of monitoring blocks; The method comprises the steps of determining a plurality of target blocks from all interpolation blocks in a staged mode based on acoustic environment wind control data, staged acoustic environment data and block position information corresponding to all the division blocks; continuously interpolating a plurality of currently determined target blocks based on current acoustic environment monitoring data corresponding to each of the plurality of monitoring blocks to obtain current acoustic environment monitoring data corresponding to each of the plurality of target blocks, and further continuously obtaining urban acoustic environment images; The re-determining a plurality of target blocks from all interpolation blocks based on the acoustic environment wind control data, the staged acoustic environment data and the block position information corresponding to all the division blocks, wherein the acoustic environment wind control data, the staged acoustic environment data and the block position information corresponding to all the division blocks comprise: When the staged acoustic environment data corresponding to the interpolation block is not empty, acquiring the staged monitoring necessity degree corresponding to the interpolation block based on the acoustic environment wind control data and the staged acoustic environment data corresponding to the interpolation block; When the staged acoustic environment data corresponding to the interpolation block is empty, acquiring the staged monitoring necessity degree corresponding to the interpolation block based on the staged acoustic environment wind control data corresponding to the interpolation block, the reverse distance weight interpolation method and the staged acoustic environment data corresponding to each of a plurality of divided blocks, the position relationship between the staged acoustic environment data and the interpolation block meeting the first preset position relationship requirement; And re-determining a plurality of target blocks from all the interpolation blocks based on the respective stage monitoring necessity of all the interpolation blocks.
2. The method for generating an urban acoustic environment image with adaptively adjustable granularity according to claim 1, wherein obtaining the stage monitoring necessity corresponding to the interpolation block based on acoustic environment wind control data corresponding to the interpolation block, inverse distance weight interpolation, and stage acoustic environment data corresponding to each of a plurality of divided blocks whose position relationship with the interpolation block satisfies a first preset position relationship requirement, and distances between the divided blocks and the interpolation block, comprises: Acquiring first interpolation weights corresponding to the plurality of division blocks with the position relationship meeting the first preset position relationship requirement between the interpolation blocks based on the distances between the interpolation blocks and the respective corresponding division blocks with the position relationship meeting the first preset position relationship requirement between the interpolation blocks; Based on the acoustic environment wind control data corresponding to the interpolation block, the staged acoustic environment data corresponding to each of the plurality of division blocks with the position relation meeting the first preset position relation requirement between the interpolation blocks and the first interpolation weight, acquiring the stage monitoring necessity degree corresponding to the interpolation block.
3. The method for generating an urban acoustic environment image with adaptively adjustable granularity according to claim 1, wherein when the staged acoustic environment data corresponding to the interpolation block is not empty, the stage monitoring necessity corresponding to the interpolation block is obtained based on the number of stages, acoustic environment wind control data, and staged acoustic environment data, which are continuously determined as the target block, corresponding to the interpolation block.
4. The method for generating an urban acoustic environment image with adaptively adjustable granularity according to claim 1, wherein when the periodic acoustic environment data corresponding to the interpolation block is empty, the phase monitoring necessity corresponding to the interpolation block is obtained based on the number of stages, acoustic environment wind control data, inverse distance weight interpolation, and the distances between the periodic acoustic environment data corresponding to each of a plurality of divided blocks whose positional relationship with the interpolation block satisfies a first predetermined positional relationship requirement, the number of stages corresponding to the interpolation block being not determined as a target block.
5. The method of generating an image of an urban acoustic environment with adaptively adjustable granularity according to claim 1, wherein the interpolation operation for each target block comprises: Acquiring a region three-dimensional model in a target region range; Taking a plurality of monitoring blocks with the position relation meeting the second preset position relation requirement with the target block as interpolation reference blocks; and carrying out interpolation operation on the target block based on the regional three-dimensional model, an inverse distance weight interpolation method considering obstacle diffraction and current acoustic environment monitoring data corresponding to each of the interpolation reference blocks.
6. The method for generating an image of an urban acoustic environment with adaptively adjustable granularity according to claim 5, wherein the interpolating the target block based on the current acoustic environment monitoring data corresponding to each of the plurality of interpolation reference blocks and the inverse distance weighted interpolation method considering the diffraction of the obstacle comprises: acquiring sound source emission three-dimensional coordinates corresponding to each of a plurality of interpolation reference blocks and sound source receiving three-dimensional coordinates corresponding to a target block based on the regional three-dimensional model; Based on the regional three-dimensional model, obtaining barrier information between each of a plurality of interpolation reference blocks and a target block, wherein the barrier information comprises the highest point three-dimensional coordinates corresponding to each of a plurality of buildings on a connecting line path of a sound source transmitting three-dimensional coordinate and a sound source receiving three-dimensional coordinate; acquiring an acoustic propagation path between each of the plurality of interpolation reference blocks and the target block based on the sound source emission three-dimensional coordinates corresponding to each of the plurality of interpolation reference blocks, the sound source receiving three-dimensional coordinates corresponding to the target block, and the barrier information between each of the plurality of interpolation reference blocks and the target block, and acquiring a second interpolation weight corresponding to each of the plurality of interpolation reference blocks based on the acoustic propagation path between each of the plurality of interpolation reference blocks and the target block; and performing interpolation operation on the target block based on the second interpolation weights corresponding to the interpolation reference blocks and the current acoustic environment monitoring data corresponding to the interpolation reference blocks.
7. The method for generating an image of an urban acoustic environment with adaptively adjustable granularity according to claim 6, wherein the obtaining the acoustic propagation path between each of the plurality of interpolation reference blocks and the target block based on the three-dimensional coordinates of the emission of the sound source corresponding to each of the plurality of interpolation reference blocks, the three-dimensional coordinates of the reception of the sound source corresponding to the target block, and the obstacle information between each of the plurality of interpolation reference blocks and the target block comprises: When the three-dimensional coordinates of the highest points corresponding to the obstacle information between the interpolation reference block and the target block are all located below the connecting line path of the sound source transmitting three-dimensional coordinates corresponding to the interpolation reference block and the sound source receiving three-dimensional coordinates corresponding to the target block, the sound propagation path between the interpolation reference block and the target block is the connecting line path of the sound source transmitting three-dimensional coordinates corresponding to the interpolation reference block and the sound source receiving three-dimensional coordinates corresponding to the target block; when the three-dimensional coordinates of the highest points corresponding to the obstacle information between the interpolation reference block and the target block are not uniformly positioned below the connecting line path of the sound source transmitting three-dimensional coordinates corresponding to the interpolation reference block and the sound source receiving three-dimensional coordinates corresponding to the target block, the sound propagation path between the interpolation reference block and the target block is an upper convex hull line calculated based on the sound source transmitting three-dimensional coordinates corresponding to the interpolation reference block, the sound source receiving three-dimensional coordinates corresponding to the target block, and the three-dimensional coordinates of the highest points corresponding to the obstacle information between the interpolation reference block and the target block; the upward convex wrapping line is an upward convex folding line which takes the sound source transmitting three-dimensional coordinate and the sound source receiving three-dimensional coordinate as a line starting point and a line ending point respectively, encloses the highest point three-dimensional coordinate below the line starting point and the line ending point, and forms the minimum enclosing range with the connecting line between the sound source transmitting three-dimensional coordinate and the sound source receiving three-dimensional coordinate.
8. The method for generating an image of an urban acoustic environment with adaptively adjustable granularity according to claim 7, wherein the obtaining the second interpolation weights corresponding to the interpolation reference blocks based on the acoustic propagation paths between the target blocks corresponding to the interpolation reference blocks respectively comprises: Acquiring propagation path information corresponding to each of the plurality of interpolation reference blocks based on the acoustic propagation paths between the target blocks and the corresponding of each of the plurality of interpolation reference blocks, wherein the propagation path information comprises a path length corresponding to the acoustic propagation path and propagation direction change angles corresponding to each change of propagation directions on the acoustic propagation path; and acquiring second interpolation weights corresponding to the interpolation reference blocks based on propagation path information corresponding to the interpolation reference blocks.
9. An urban acoustic environment representation generation system capable of adaptively adjusting granularity, which is based on the method for adaptively adjusting granularity as set forth in any one of claims 1-8, and is characterized by comprising the following steps: The block acquisition module is used for carrying out block division on the target area to acquire a plurality of divided blocks, and dispersedly selecting the plurality of divided blocks in the target area to serve as monitoring blocks, wherein the rest divided blocks are all regarded as interpolation blocks, and acoustic environment monitoring equipment is arranged in the plurality of monitoring blocks; The monitoring module is used for continuously monitoring the acoustic environment data through the acoustic environment monitoring equipment in the plurality of monitoring blocks so as to continuously acquire the acoustic environment monitoring data corresponding to the plurality of monitoring blocks; The determining module is used for determining a plurality of target blocks from all interpolation blocks according to the acoustic environment wind control data, the periodic acoustic environment data condition and the block position information corresponding to all the division blocks; And the image acquisition module is used for continuously carrying out interpolation operation on the plurality of currently determined target blocks based on the current acoustic environment monitoring data corresponding to the plurality of monitoring blocks so as to acquire the current acoustic environment monitoring data corresponding to the plurality of target blocks, and further continuously acquiring the urban acoustic environment image.

Description

Urban acoustic environment portrait generation method and system capable of adaptively adjusting granularity Technical Field Embodiments of the present disclosure relate to the field of acoustic environment representation generation, and in particular, to a method and system for generating an urban acoustic environment representation with adaptively adjustable granularity. Background Currently, the construction of fine-grained urban acoustic environmental portraits has become an urgent need for modern urban management. The acoustic environment image with fine granularity at one position can intuitively and comprehensively reflect the acoustic environment conditions of all positions of the city, and provides scientific and effective decision basis for subsequent city treatment work. However, in current technical practice, generating urban acoustic environment representations with fine-grained locations faces significant challenges, and currently relies mainly on deploying a large number of acoustic environment monitoring devices at different locations in urban space, and constructing the images by collecting real-time acoustic environment data of each point. The direct measurement mode has the defects that the acoustic environment monitoring equipment has low cost and the cost of installation, wiring, power supply and long-term maintenance, which are difficult to overcome, and the whole deployment cost is extremely high. Therefore, a scheme for refining the position granularity of the urban acoustic environment portrait by simply increasing the arrangement density of the acoustic environment monitoring equipment is unrealistic and not economically feasible in most cities. In addition, because acoustic environment monitoring is not necessarily performed continuously at all positions, on the basis of generating a position fine-grained urban acoustic environment representation, the position granularity of the urban acoustic environment representation should be dynamically adjusted to dynamically optimize the allocation of monitoring resources, thereby achieving maximization of monitoring efficiency and cost effectiveness. In view of this, we have urgent need for a new technical idea that can fully mine and utilize sparse data of the existing acoustic environment monitoring network on the basis of limited acoustic environment monitoring equipment resources, so as to infer a fine-grained acoustic environment image covering the whole city from the limited data, and can reasonably and dynamically adjust the location granularity of the urban acoustic environment image when constructing the fine-grained acoustic environment image. Disclosure of Invention The embodiment of the specification provides a method and a system for generating urban acoustic environment images with self-adaptive granularity adjustment, which can fully mine and utilize sparse data of the existing acoustic environment monitoring network on the basis of limited acoustic environment monitoring equipment resources, further deduce the position fine granularity acoustic environment images covering the whole city from the limited data, and can reasonably and dynamically adjust the position granularity of the urban acoustic environment images when constructing the position fine granularity acoustic environment images. The technical scheme is as follows: in a first aspect, embodiments of the present disclosure provide a method for generating an urban acoustic environment representation with adaptively adjustable granularity, including: performing block division on the target area to obtain a plurality of divided blocks, dispersedly selecting the plurality of divided blocks in the target area to serve as monitoring blocks, taking the rest of divided blocks as interpolation blocks, and respectively setting acoustic environment monitoring equipment in the plurality of monitoring blocks; continuously monitoring the acoustic environment data through acoustic environment monitoring equipment in the plurality of monitoring blocks so as to continuously acquire acoustic environment monitoring data corresponding to the plurality of monitoring blocks; The method comprises the steps of determining a plurality of target blocks from all interpolation blocks in a staged mode based on acoustic environment wind control data, staged acoustic environment data and block position information corresponding to all the division blocks; and continuously performing interpolation operation on the currently determined plurality of target blocks based on the current acoustic environment monitoring data corresponding to the plurality of monitoring blocks so as to acquire the current acoustic environment monitoring data corresponding to the plurality of target blocks, thereby continuously acquiring the urban acoustic environment image. As a preferred solution, the re-determining the plurality of target blocks from all interpolation blocks based on the acoustic environment wind contr