A method for analyzing the influence degree of substation noise on sensitive points of residents

Abstract

The application relates to the technical field of noise analysis, and particularly discloses a method for analyzing the influence degree of substation noise on resident sensitive points, which comprises the following steps: determining remote sensing spatial position data in a preset range around a substation based on satellite remote sensing images containing the substation; setting a noise measuring point array in the preset range around the substation based on the remote sensing spatial position data; performing noise attenuation analysis based on noise monitoring data of all online noise sensors in the noise measuring point array within a preset period and the remote sensing spatial position data to obtain noise attenuation analysis results; and determining all resident sensitive points and the influence degree of the substation noise on each resident sensitive point among all residential areas in the preset range around the substation based on the noise attenuation analysis results. The method improves the accuracy and effectiveness of obtained noise data and ensures the analysis accuracy of the influence degree of the substation noise on the resident sensitive points.

Description

Technical Field

[0001] This invention relates to the field of noise analysis technology, and in particular to a method for analyzing the impact of substation noise on sensitive residential areas. Background Technology

[0002] Traditional noise measurement methods employ handheld or vehicle-mounted noise sensors to periodically measure noise data within residential areas, manually recording or exporting the data. This data is then used to determine liability in disputes arising from substation noise and to make decisions regarding substation noise reduction. However, this approach collects noise data not only from substations but also from other sources, and the lack of scientific and planned data collection locations makes it difficult to guarantee the accuracy and validity of the acquired noise data. Consequently, the accuracy of noise attenuation analysis results based on this data is poor, limiting its reference value and failing to accurately reflect the impact of substation noise on sensitive residential areas.

[0003] Therefore, this invention proposes a method for analyzing the impact of substation noise on sensitive residential areas. Summary of the Invention

[0004] This invention provides a method for analyzing the impact of substation noise on sensitive residential areas. It utilizes remote sensing technology to acquire the spatial location relationships between noise sources, noise blockages, and surrounding residential areas within the substation. Combined with monitoring data from a ground-based noise sensor array, it accurately analyzes noise attenuation during the noise propagation process from the noise source to the residential area. This invention not only includes analysis of array noise data collected in real-time on-site, improving the scientific rigor and planning of noise data acquisition locations, but also incorporates spatial impact relationship analysis based on remote sensing spatial location data. This increases the purity of substation noise in the acquired noise data to a certain extent, reduces interference from other types of noise on the substation noise propagation and attenuation analysis results, and improves the accuracy and effectiveness of the acquired noise data. This results in a more comprehensive noise attenuation analysis method and enhances the accuracy and reference value of noise attenuation analysis results around the substation. Furthermore, based on the noise attenuation analysis results, all sensitive residential areas within a predetermined range around the substation are identified, and the actual verifiable impact of substation noise on each sensitive residential area is analyzed, resulting in a more comprehensive noise impact analysis and diagnosis method. This invention combines large-scale satellite remote sensing spatial analysis with small-scale real-time IoT monitoring, conducting a comprehensive analysis from the aspects of spatial distance, occlusion relationship, attenuation law, and degree of impact. While improving the efficiency of monitoring and analysis, it greatly enhances the quality and credibility of data analysis results, providing objective and accurate data support for noise evidence collection and noise impact disputes, and providing new technical means for solving noise environment analysis of substation projects and evidence collection for resident complaint disputes.

[0005] The real-time online array-type noise monitoring method is adopted to collect noise data at the measurement point locations in real time and continuously, which enhances the representativeness and effectiveness of the data, thereby ensuring the quality and effectiveness of data attenuation analysis and noise impact analysis.

[0006] This invention provides a method for analyzing the impact of substation noise on sensitive residential areas, including:

[0007] S1: Based on satellite remote sensing images of the substation and the surrounding area within a preset range, determine the remote sensing spatial location data of the substation and the surrounding area within a preset range.

[0008] S2: Based on remote sensing spatial location data, set up an array of noise measurement points within a preset range around the substation;

[0009] S3: Based on the noise monitoring data and remote sensing spatial location data of all online noise sensors in the noise measurement point array within a preset period, noise attenuation analysis is performed to obtain the noise attenuation analysis results;

[0010] S4: Based on the noise attenuation analysis results, identify all sensitive points of residents and the degree of impact of substation noise on each sensitive point in all residential areas within a preset range around the substation.

[0011] Preferred method for analyzing the impact of substation noise on sensitive residential areas, S1: Based on satellite remote sensing imagery including the substation and a preset area around it, determine the remote sensing spatial location data of the substation and the preset area around it, including:

[0012] S101: Based on satellite remote sensing images including the substation and the preset range around the substation, determine the spatial relationship between all noise sources within the substation and all residential areas within the preset range around the substation, as well as all noise blocking objects.

[0013] S102: The spatial location relationships of all noise sources within the substation, all residential areas within a preset range around the substation, and all noise-blocking objects are used to generate remote sensing spatial location data of the substation and its surrounding preset range.

[0014] Preferred method for analyzing the impact of substation noise on sensitive residential areas, S2: Based on remote sensing spatial location data, an array of noise measurement points is set up within a preset range around the substation, including:

[0015] S201: Determine the noise propagation path between each noise source within the station and each residential area based on remote sensing spatial location data;

[0016] S202: Set up an array of noise measurement points in and around the substation based on all noise propagation paths.

[0017] The preferred method for analyzing the impact of substation noise on sensitive residential areas determines the noise propagation path between each noise source within the substation and each residential point based on remote sensing spatial location data, including:

[0018] Based on remote sensing spatial location data, the spatial relationship between each noise source within the station and each residential area was determined;

[0019] Based on the spatial relationship between each noise source within the station and each residential area, a straight-line spatial path from each noise source within the station to each residential area is determined, which serves as the noise propagation path between each noise source within the station and each residential area.

[0020] A preferred method for analyzing the impact of substation noise on sensitive residential areas involves setting up an array of noise measurement points within and around the substation along all noise propagation paths, including:

[0021] Based on remote sensing spatial location data, the spatial location of each noise-blocking object was determined;

[0022] Based on the spatial location of all noise blockages, determine all noise blockages that each noise propagation path passes through;

[0023] Based on the spatial location and preset spacing of all noise blocking objects along each noise propagation path, an array of noise measurement points is set up in and around the substation within a preset range.

[0024] Preferred method for analyzing the impact of substation noise on sensitive residential areas, S3: Based on noise monitoring data and remote sensing spatial location data of all online noise sensors within the noise measurement point array within a preset period, noise attenuation analysis is performed to obtain noise attenuation analysis results, including:

[0025] Based on the first preset sampling interval, the noise monitoring data of each online noise sensor in the noise measurement point array is sampled within a preset period to obtain the noise decibel value sequence of each online noise sensor;

[0026] Based on the noise propagation direction on each noise propagation path, all online noise sensors located on each noise propagation path are sorted to obtain the noise path order of all target noise sensors on each noise propagation path.

[0027] Based on the noise path sequence of all target noise sensors for each noise propagation path, the noise decibel values ​​at the same sorting position in the noise decibel value sequence of all target noise sensors are subjected to sequential curve fitting to obtain the first noise attenuation curve of each noise propagation path at multiple sampling times.

[0028] Based on the first noise attenuation curves of each noise propagation path at multiple sampling times, a cross-fusion correction is performed to obtain the second noise attenuation curve of each noise propagation path.

[0029] Based on remote sensing spatial location data and relevant parameters of all noise blocking objects within a preset range around the substation, the second noise attenuation curves of all noise propagation paths are corrected to obtain the optimal noise attenuation curve for each noise propagation path.

[0030] The optimal noise attenuation curves for all noise propagation paths are summarized as the results of the noise attenuation analysis.

[0031] A preferred method for analyzing the impact of substation noise on sensitive residential areas involves cross-referencing and correcting the first noise attenuation curves for each noise propagation path at multiple sampling times to obtain a second noise attenuation curve for each noise propagation path, including:

[0032] Based on the second preset sampling interval, the first noise attenuation curve of each noise propagation path at multiple sampling times is aligned and sampled to obtain multiple noise decibel sampling values ​​at each aligned sampling position.

[0033] The difference between the maximum and minimum values ​​of all noise decibel samples at each aligned sampling position is determined as the noise decibel jitter value at each aligned sampling position in time.

[0034] The aligned sampling position where the noise decibel jitter value is not less than the jitter threshold is determined as the hypothetical jitter position, and at least one hypothetical jitter region is extracted from the horizontal coordinate coverage of the first noise attenuation curve based on all consecutive hypothetical jitter positions.

[0035] Hypothetical jitter regions containing no more than a threshold number of hypothetical jitter locations are considered as real jitter regions.

[0036] All aligned sampling positions in all real jitter regions, as well as all hypothetical jitter positions that do not belong to the hypothetical jitter region or the real jitter region, are treated as real jitter positions.

[0037] Based on the noise decibel jitter values ​​at all aligned sampling positions and all true jitter positions for each noise propagation path, the first noise attenuation curves for each noise propagation path at multiple sampling times are fused and corrected to obtain the second noise attenuation curve for each noise propagation path.

[0038] A preferred method for analyzing the impact of substation noise on sensitive residential areas involves, based on the noise decibel jitter values ​​at all aligned sampling locations and all actual jitter locations along each noise propagation path, performing cross-fusion correction on the first noise attenuation curves of each noise propagation path at multiple sampling times to obtain a second noise attenuation curve for each noise propagation path, including:

[0039] Based on the distribution order of all aligned sampling positions in the first noise attenuation curve, the noise decibel jitter values ​​of all aligned sampling positions other than all jitter positions are curve fitted to obtain the jitter value change curve of the corresponding noise propagation path, and the reasonable jitter value of all real jitter positions is determined based on the jitter value change curve.

[0040] Based on the reasonable jitter values ​​at all real jitter locations, the first noise attenuation curve of each noise propagation path at multiple sampling times is corrected to obtain the noise attenuation correction curve of each noise propagation path at multiple sampling times.

[0041] The noise attenuation correction curves for each noise propagation path at all sampling times are averaged and fused to obtain a second noise attenuation curve for each noise propagation path.

[0042] The preferred method for analyzing the impact of substation noise on sensitive residential areas, based on remote sensing spatial location data and relevant parameters of all noise-blocking objects within a preset range around the substation, corrects the second noise attenuation curves for all noise propagation paths to obtain the optimal noise attenuation curve for each noise propagation path, including:

[0043] The spatial locations of all noise-blocking objects were determined based on remote sensing spatial location data;

[0044] Based on the spatial location of all noise blockers and the second noise attenuation curves of all noise propagation paths, the calculated blocking coefficient of each noise blocker for each noise propagation path is determined.

[0045] Based on the relevant parameters of all noise blockers, the standard blocking coefficient of each noise blocker for each noise propagation path is determined;

[0046] Based on the standard blocking coefficient and calculated blocking coefficient of each noise block for each noise propagation path, the second noise attenuation curve of all noise propagation paths is corrected to obtain the optimal noise attenuation curve for each noise propagation path.

[0047] Preferred method for analyzing the impact of substation noise on sensitive residential areas, S4: Based on the noise attenuation analysis results, determine all sensitive residential areas within a preset range around the substation and the impact of substation noise on each sensitive residential area, including:

[0048] Based on the optimal noise attenuation curves of all noise propagation paths in the noise attenuation analysis results, the representative noise decibel values ​​of all online noise sensors are determined.

[0049] Among all online noise sensors, the one closest to each residential area is identified and used as the reference noise sensor for that residential area.

[0050] Among all residential areas within a preset range around the substation, those residential areas whose corresponding reference noise sensor noise decibel values ​​exceed the decibel threshold are selected as sensitive residential areas.

[0051] Based on the representative decibel values ​​of the reference noise sensor at each resident's sensitive point, the degree of impact of substation noise on each resident's sensitive point is determined.

[0052] The beneficial effects of this invention compared to existing technologies are as follows: It utilizes remote sensing technology to acquire the spatial location relationships between noise sources and noise blockages within a substation, as well as surrounding residential areas. Combined with monitoring data from a ground-based noise sensor array, it accurately analyzes noise attenuation during the noise propagation process from the noise source to residential areas. This invention not only includes real-time array noise data analysis, improving the scientific rigor and planning of noise data acquisition locations, but also incorporates spatial impact relationship analysis based on remote sensing spatial location data. This increases the purity of substation noise in the acquired noise data to a certain extent, reduces interference from other types of noise on the substation noise propagation and attenuation analysis results, and improves the accuracy and effectiveness of the acquired noise data. This results in a more comprehensive noise attenuation analysis method and enhances the accuracy and reference value of noise attenuation analysis results around the substation. Furthermore, based on the noise attenuation analysis results, it identifies all sensitive residential points within a predetermined range around the substation and analyzes the verifiable impact of substation noise on each sensitive point, thus forming a more comprehensive noise impact analysis and diagnosis method. This invention combines large-scale satellite remote sensing spatial analysis with small-scale real-time IoT monitoring, conducting a comprehensive analysis from the aspects of spatial distance, occlusion relationship, attenuation law, and degree of impact. While improving the efficiency of monitoring and analysis, it greatly enhances the quality and credibility of data analysis results, providing objective and accurate data support for noise evidence collection and noise impact disputes, and providing new technical means for solving noise environment analysis of substation projects and evidence collection for resident complaint disputes.

[0053] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in this application.

[0054] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0055] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0056] Figure 1 This is an analysis method for the impact of substation noise on sensitive residential areas in this embodiment of the invention;

[0057] Figure 2 This is a schematic diagram of the noise measurement point array setting method in an embodiment of the present invention;

[0058] Figure 3 This is a flowchart illustrating the specific execution steps of step S1 in this embodiment of the invention.

[0059] Figure 4 This is a flowchart illustrating the specific execution steps of step S2 in an embodiment of the present invention. Detailed Implementation

[0060] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0061] Example 1:

[0062] This invention provides a method for analyzing the impact of substation noise on sensitive residential areas, with reference to... Figure 1 ,include:

[0063] S1: Based on satellite remote sensing images of the substation and the surrounding area within a preset range, determine the remote sensing spatial location data of the substation and the surrounding area within a preset range.

[0064] S2: Based on remote sensing spatial location data, set up an array of noise measurement points within a preset range around the substation;

[0065] S3: Based on the noise monitoring data and remote sensing spatial location data of all online noise sensors in the noise measurement point array within a preset period, noise attenuation analysis is performed to obtain the noise attenuation analysis results;

[0066] S4: Based on the noise attenuation analysis results, identify all sensitive points of residents and the degree of impact of substation noise on each sensitive point in all residential areas within a preset range around the substation.

[0067] In this embodiment, satellite remote sensing imagery refers to images or videos acquired using satellite remote sensing technology.

[0068] In this embodiment, the preset range is the preset range of substation noise impact considered.

[0069] In this embodiment, the remote sensing spatial location data is the spatial location data determined by remote sensing spatial location data, which includes all noise sources within the substation, all residential areas within a preset range around the substation, and all noise blocking objects. The spatial location is represented by the three-dimensional coordinates of the object in the world coordinate system.

[0070] In this embodiment, the noise measurement point array is an array formed by the placement positions of an online noise sensor.

[0071] In this embodiment, the online noise sensor is a noise sensor that can upload data to the background monitoring host via a wireless network.

[0072] In this embodiment, the preset period is a preset period for acquiring noise monitoring data, such as 30 days.

[0073] In this embodiment, the noise monitoring data includes the ambient sound decibel value (or noise decibel value) acquired by the online noise sensor at each moment within a preset period.

[0074] In this embodiment, noise attenuation analysis is the process of analyzing the attenuation of substation noise during its propagation from noise sources within the substation to various residential areas.

[0075] In this embodiment, the residential point is the resident unit used when analyzing the degree of impact, which can be a household, a community, or an administratively divided residential area.

[0076] In this embodiment, the residential sensitive points are those that are significantly affected by the noise from the substation.

[0077] In this embodiment, the impact of substation noise on each resident's sensitive point is quantified using the actual noise decibel value.

[0078] The beneficial effects of the above technologies are as follows: Remote sensing technology is used to acquire the spatial location relationships of noise sources and noise blockages within the substation, as well as surrounding residential areas. Combined with monitoring data from a ground-based noise sensor array, accurate analysis of noise attenuation during the noise propagation process from the noise source to residential areas is performed. This invention not only includes the analysis of array noise data collected in real-time on-site, improving the scientific rigor and planning of noise data acquisition locations, but also includes spatial impact relationship analysis based on remote sensing spatial location data. This increases the purity of substation noise in the acquired noise data to a certain extent, reduces interference from other types of noise on the substation noise propagation and attenuation analysis results, improves the accuracy and effectiveness of the acquired noise data, and forms a more comprehensive noise attenuation analysis method. It also improves the accuracy and reference value of noise attenuation analysis results around the substation. Furthermore, based on the noise attenuation analysis results, all sensitive residential points within a predetermined range around the substation are identified, and the verifiable impact of substation noise on each sensitive residential point is analyzed, forming a more comprehensive noise impact analysis and diagnosis method. This invention combines large-scale satellite remote sensing spatial analysis with small-scale real-time IoT monitoring, conducting a comprehensive analysis from the aspects of spatial distance, occlusion relationship, attenuation law, and degree of impact. While improving the efficiency of monitoring and analysis, it greatly enhances the quality and credibility of data analysis results, providing objective and accurate data support for noise evidence collection and noise impact disputes, and providing new technical means for solving noise environment analysis of substation projects and evidence collection for resident complaint disputes.

[0079] Example 2:

[0080] Based on Example 1, the method for analyzing the impact of substation noise on sensitive residential areas includes: S1: Based on satellite remote sensing images containing the substation and a preset area around it, determining the remote sensing spatial location data of the substation and the preset area around it, referring to... Figure 3 ,include:

[0081] S101: Based on satellite remote sensing images including the substation and the preset range around the substation, determine the spatial relationship between all noise sources within the substation and all residential areas within the preset range around the substation, as well as all noise blocking objects.

[0082] S102: The spatial location relationships of all noise sources within the substation, all residential areas within a preset range around the substation, and all noise-blocking objects are used to generate remote sensing spatial location data of the substation and its surrounding preset range.

[0083] In this embodiment, the noise source within the substation is a device that generates noise within the substation, such as the main transformer, large fan, high-voltage line, etc.

[0084] In this embodiment, the noise blocking object is an object that blocks the noise of the substation, thereby causing the noise to change in decibel value or propagation direction, such as a wall, building, or tree.

[0085] In this embodiment, the spatial positional relationship is represented by the relative coordinate difference between the three-dimensional coordinates of the two objects in the world coordinate system.

[0086] The beneficial effects of the above technology are as follows: It provides a method for determining the spatial location data of all noise sources within a substation, all residential areas within a preset range around the substation, and all noise-blocking objects using satellite remote sensing images.

[0087] Example 3:

[0088] Based on Example 1, the method for analyzing the impact of substation noise on sensitive residential areas, S2: Based on remote sensing spatial location data, an array of noise measurement points is set up within a preset range around the substation, referring to... Figure 4 ,include:

[0089] S201: Determine the noise propagation path between each noise source within the station and each residential area based on remote sensing spatial location data;

[0090] S202: Set up an array of noise measurement points in and around the substation based on all noise propagation paths.

[0091] In this embodiment, the noise propagation path is the path by which noise generated by a noise source within the station propagates from the noise source within the station to the residential area.

[0092] The beneficial effects of the above technology are as follows: Based on remote sensing spatial location data, this intermediate quantity is used to determine the noise propagation path between each noise source in the station and each residential point. It takes into account the spatial location between the noise source in the station and the residential point, making the final noise measurement point array more scientific and accurate.

[0093] Example 4:

[0094] Based on Example 3, the method for analyzing the impact of substation noise on sensitive residential areas determines the noise propagation path between each noise source within the substation and each residential point based on remote sensing spatial location data, including:

[0095] Based on remote sensing spatial location data, the spatial relationship between each noise source within the station and each residential area was determined;

[0096] Based on the spatial relationship between each noise source within the station and each residential area, a straight-line spatial path from each noise source within the station to each residential area is determined, which serves as the noise propagation path between each noise source within the station and each residential area.

[0097] In this embodiment, based on the spatial relationship between each noise source within the station and each residential area, a spatial straight-line path from each noise source within the station to each residential area is determined, including:

[0098] Based on the three-dimensional coordinates of each noise source in the world coordinate system, the coordinates of the physical center of each noise source in the station are determined (i.e., the average coordinate value of all coordinate points on the surface of the noise source in the station). Based on the three-dimensional coordinates of each settlement in the world coordinate system, the coordinates of the physical center of each settlement are determined (i.e., the average coordinate value of all coordinate points on the surface of a single settlement).

[0099] The path from the coordinates of the physical center of each noise source within the station to the coordinates of the physical center of each residential area is taken as the spatial straight-line path from each noise source within the station to each residential area (which is a line segment in three-dimensional space whose coordinates are represented by the world coordinate system).

[0100] The beneficial effects of the above technologies are: based on the intermediate quantity of the spatial relationship between each noise source in the station and each residential point determined by remote sensing spatial location data, the noise propagation path between each noise source in the station and each residential point can be accurately determined.

[0101] Example 5:

[0102] Based on Example 3, the method for analyzing the impact of substation noise on sensitive residential areas involves setting up an array of noise measurement points within and around the substation along all noise propagation paths, including:

[0103] Based on remote sensing spatial location data, the spatial location of each noise-blocking object was determined;

[0104] Based on the spatial location of all noise blockages, determine all noise blockages that each noise propagation path passes through;

[0105] Based on the spatial location and preset spacing of all noise blockers along each noise propagation path (reference) Figure 2 (5 meters), a noise measurement point array is set up in and around the substation within a preset range.

[0106] In this embodiment, the spatial location of the noise blocker is the three-dimensional coordinate of the noise blocker in the world coordinate system.

[0107] In this embodiment, reference Figure 2 Based on the spatial location and preset spacing of all noise blockages along each noise propagation path, an array of noise measurement points is set up in and around the substation within a preset range, including:

[0108] Based on the spatial locations of all noise obstructions along each noise propagation path, an online noise sensor is installed every 5 meters, starting from the boundary of the noise source within the station. When the location of an online noise sensor overlaps with a noise obstruction, the sensor is moved past that location, and another online noise sensor is installed every 5 meters from that location until the shortest distance between the last online noise sensor and the outer boundary of the residential area is less than 5 meters. This process stops the installation of online noise sensors. In this way, the location of online noise sensors along each noise propagation path is determined. When the locations of online noise sensors on different noise propagation paths overlap, only one online noise sensor needs to be installed at the overlapping location. The array formed by all the locations of the online noise sensors determined in this way is used as the noise measurement point array.

[0109] In this embodiment, the noise measurement point array is a position array formed by all the first measurement point positions and the second measurement point positions.

[0110] The beneficial effects of the above technology are: it clarifies the rules for determining the noise measurement point array based on the spatial location of all noise propagation paths and all noise blocking objects.

[0111] Example 6:

[0112] Based on Example 1, the method for analyzing the impact of substation noise on sensitive residential areas, S3: Noise attenuation analysis is performed based on noise monitoring data and remote sensing spatial location data from all online noise sensors within the noise measurement point array over a preset period to obtain noise attenuation analysis results, including:

[0113] Based on the first preset sampling interval, the noise monitoring data of each online noise sensor in the noise measurement point array is sampled within a preset period (that is, a sampling point is counted from the start time of the noise monitoring data, and then the sampling is performed sequentially every first preset sampling interval) to obtain the noise decibel value sequence of each online noise sensor.

[0114] Based on the noise propagation direction on each noise propagation path, all online noise sensors located on each noise propagation path are sorted to obtain the noise path order of all target noise sensors on each noise propagation path.

[0115] Based on the noise path sequence of all target noise sensors for each noise propagation path, the noise decibel values ​​at the same sorting position in the noise decibel value sequence of all target noise sensors are subjected to sequential curve fitting (the order of the noise decibel values ​​at the same sorting position in the first noise attenuation curve is consistent with the noise path sequence of the noise sensor corresponding to the noise decibel value), and the first noise attenuation curve of each noise propagation path at multiple sampling times is obtained.

[0116] Based on the first noise attenuation curves of each noise propagation path at multiple sampling times, a cross-fusion correction is performed to obtain the second noise attenuation curve of each noise propagation path.

[0117] Based on remote sensing spatial location data and relevant parameters of all noise blocking objects within a preset range around the substation, the second noise attenuation curves of all noise propagation paths are corrected to obtain the optimal noise attenuation curve for each noise propagation path.

[0118] The optimal noise attenuation curves for all noise propagation paths are summarized as the results of the noise attenuation analysis.

[0119] In this embodiment, the first preset sampling interval is a preset sampling interval followed when sampling noise monitoring data acquired by a single online noise sensor, and the sampling interval here is expressed in terms of time.

[0120] In this embodiment, the noise decibel value sequence is a sequence containing noise decibel values ​​acquired by a single online noise sensor at multiple sampling times.

[0121] In this embodiment, the noise propagation direction is a straight line from the starting point to the ending point on the noise propagation path.

[0122] In this embodiment, the target noise sensor of the noise propagation path is an online noise sensor located on the corresponding noise propagation path.

[0123] In this embodiment, the noise path sequence determines the order in which an online noise sensor is passed along the corresponding noise propagation path based on the noise propagation direction.

[0124] In this embodiment, the relevant parameters of the noise blocker include the height of the blocker, the blocking area (the area of ​​the cross section perpendicular to the noise propagation path in the noise blocker), and the blocking thickness (the penetration distance of the noise propagation path in the noise blocker).

[0125] The beneficial effects of the above technology are as follows: by sampling the noise monitoring data acquired by all online noise sensors and longitudinally sorting and fitting them according to the order of the noise path, a noise attenuation curve on the noise propagation path is initially obtained. By mutually fusing and correcting the noise attenuation curves at different times on the same noise propagation path, a noise attenuation curve that can better represent the comprehensive noise attenuation on the noise propagation path is obtained. Furthermore, by correcting the noise attenuation curves on different noise propagation paths, the accuracy of the noise attenuation curve on each noise propagation path is further guaranteed, making it more representative of the comprehensive noise attenuation on the noise propagation path.

[0126] Example 7:

[0127] Based on Example 6, the method for analyzing the impact of substation noise on sensitive residential areas involves cross-referencing the first noise attenuation curves of each noise propagation path at multiple sampling times to obtain a second noise attenuation curve for each noise propagation path, including:

[0128] Based on the second preset sampling interval, the first noise attenuation curve of each noise propagation path at multiple sampling times is aligned and sampled to obtain multiple noise decibel sampling values ​​at each aligned sampling position.

[0129] The difference between the maximum and minimum values ​​of all noise decibel samples at each aligned sampling position is determined as the noise decibel jitter value at each aligned sampling position in time.

[0130] The aligned sampling position where the noise decibel jitter value is not less than the jitter threshold is determined as the hypothetical jitter position, and at least one hypothetical jitter region is extracted from the horizontal coordinate coverage of the first noise attenuation curve based on all consecutive hypothetical jitter positions.

[0131] Hypothetical jitter regions containing no more than a threshold number of hypothetical jitter locations are considered as real jitter regions.

[0132] All aligned sampling positions in all real jitter regions, as well as all hypothetical jitter positions that do not belong to the hypothetical jitter region or the real jitter region, are treated as real jitter positions.

[0133] Based on the noise decibel jitter values ​​at all aligned sampling positions and all true jitter positions for each noise propagation path, the first noise attenuation curves for each noise propagation path at multiple sampling times are fused and corrected to obtain the second noise attenuation curve for each noise propagation path.

[0134] In this embodiment, the second preset sampling interval is the positional interval followed when aligning the sampling of the first noise attenuation curve of the noise propagation path at multiple sampling times.

[0135] In this embodiment, aligned sampling means simultaneously sampling at positions equidistant from the start point of the first noise attenuation curve at multiple sampling times for each noise propagation path.

[0136] In this embodiment, the sampling position is aligned with the sampling position when sampling.

[0137] In this embodiment, the noise decibel sampling value is the value at the sampling position in the first noise attenuation curve.

[0138] In this embodiment, the noise decibel jitter value is the fluctuation value of the substation noise at a certain location on the noise propagation path (corresponding to its sampling location) within a preset period.

[0139] In this embodiment, the jitter threshold is a preset value that the noise decibel jitter value at the assumed jitter position must not be less than a certain value.

[0140] In this embodiment, based on all consecutive hypothetical jitter locations within the horizontal coordinate coverage of the first noise attenuation curve, at least one hypothetical jitter region is extracted, including:

[0141] Among all consecutive hypothetical jitter positions, the hypothetical jitter region is defined as the area covered by the horizontal axis of the first noise attenuation curve from the first hypothetical jitter position to the last hypothetical jitter position.

[0142] In this embodiment, the threshold for the number of jitter locations is a preset value that the number of assumed jitter locations contained in the actual jitter area must not exceed.

[0143] The beneficial effects of the above technology are as follows: Aligning the noise propagation path with the first noise attenuation curve at multiple sampling times, calculating the difference between the maximum and minimum values, determining the noise decibel jitter value at the aligned sampling position, and introducing a jitter threshold to filter out hypothetical jitter positions. Based on the continuity of the distribution of hypothetical jitter positions on the first noise attenuation curve, hypothetical jitter regions are filtered out. By judging and comparing the number of hypothetical jitter positions contained in the hypothetical jitter regions, the real jitter regions are filtered out. Combined with independent hypothetical jitter positions, accurate screening of abnormal noise fluctuation regions existing in the first noise attenuation region is achieved. Furthermore, based on this, accurate correction of the first noise attenuation curve is achieved, ensuring the accuracy of the final noise attenuation analysis results.

[0144] Example 8:

[0145] Based on Example 7, the method for analyzing the impact of substation noise on sensitive residential areas, based on the noise decibel jitter values ​​at all aligned sampling positions and all actual jitter positions for each noise propagation path, performs mutual fusion correction on the first noise attenuation curve of each noise propagation path at multiple sampling times to obtain the second noise attenuation curve of each noise propagation path, including:

[0146] Based on the distribution order of all aligned sampling positions in the first noise attenuation curve, the noise decibel jitter values ​​of all aligned sampling positions other than all jitter positions are curve fitted to obtain the jitter value change curve of the corresponding noise propagation path, and the reasonable jitter value of all real jitter positions is determined based on the jitter value change curve.

[0147] Based on the reasonable jitter values ​​at all real jitter locations, the first noise attenuation curve of each noise propagation path at multiple sampling times is corrected to obtain the noise attenuation correction curve of each noise propagation path at multiple sampling times.

[0148] The noise attenuation correction curves for each noise propagation path at all sampling times are averaged and fused to obtain a second noise attenuation curve for each noise propagation path.

[0149] In this embodiment, based on the distribution order of all aligned sampling positions in the first noise attenuation curve, the noise decibel jitter values ​​of all aligned sampling positions remaining excluding all jitter positions are curve-fitted as follows:

[0150] Preserve the distribution order of all aligned sampling positions in the first noise attenuation curve, and perform curve fitting on the noise decibel jitter values ​​of all remaining aligned sampling positions except for all jitter positions.

[0151] In this embodiment, reasonable jitter values ​​for all actual jitter locations are determined based on the jitter value variation curve, including:

[0152] In the jitter value variation curve, the value that is the same as the horizontal coordinate value of the actual jitter position is taken as the reasonable jitter value corresponding to the actual jitter position.

[0153] In this embodiment, based on reasonable jitter values ​​at all real jitter locations, the first noise attenuation curve of each noise propagation path at multiple sampling times is corrected, including:

[0154] The first noise attenuation curve for each noise propagation path at multiple sampling times is corrected so that the maximum and minimum values ​​of all values ​​in the noise attenuation correction curve that are the same as the x-coordinate value of the actual jitter position do not exceed the reasonable jitter value.

[0155] In this embodiment, the noise attenuation correction curves for each noise propagation path at all sampling times are averaged and fused, including:

[0156] For each noise propagation path, the average value of all values ​​on the same horizontal axis in the noise attenuation correction curve at all sampling times is taken as the ordinate value corresponding to the fused horizontal axis value. The second noise attenuation curve of the noise propagation path is obtained by taking the ordinate values ​​corresponding to all horizontal axis values.

[0157] The beneficial effects of the above technology are as follows: curve fitting is performed on the noise decibel jitter values ​​of all aligned sampling positions other than all jitter positions to obtain the jitter value change curve of the noise propagation path, and a reasonable jitter value is determined based on this. A specific method is given to correct part of the attenuation curve of the real jitter position using the reasonable jitter value, thereby realizing the accurate correction of the real jitter position in the first noise attenuation curve.

[0158] Example 9:

[0159] Based on Example 8, the method for analyzing the impact of substation noise on sensitive residential areas, based on remote sensing spatial location data and relevant parameters of all noise-blocking objects within a preset range around the substation, corrects the second noise attenuation curves for all noise propagation paths to obtain the optimal noise attenuation curve for each noise propagation path, including:

[0160] The spatial locations of all noise-blocking objects were determined based on remote sensing spatial location data;

[0161] Based on the spatial location of all noise blockers and the second noise attenuation curves of all noise propagation paths, the calculated blocking coefficient of each noise blocker for each noise propagation path is determined.

[0162] Based on the relevant parameters of all noise blockers, the standard blocking coefficient of each noise blocker for each noise propagation path is determined;

[0163] Based on the standard blocking coefficient and calculated blocking coefficient of each noise block for each noise propagation path, the second noise attenuation curve of all noise propagation paths is corrected to obtain the optimal noise attenuation curve for each noise propagation path.

[0164] In this embodiment, based on the spatial locations of all noise blockers and the second noise attenuation curves of all noise propagation paths, the calculated blocking coefficient of each noise blocker for each noise propagation path is determined, including:

[0165] In the second noise attenuation curve, the part of the noise attenuation curve before passing through the noise blocker is determined, and the average value of the first derivative of the function of this part of the noise attenuation curve for each horizontal axis value in this part of the noise attenuation curve is taken as the standard noise attenuation rate.

[0166] In the second noise attenuation curve, a portion of the noise attenuation curve is determined from a preset distance before the noise passes through the noise blocker to a preset distance after the noise blocker. The average value of the first derivative of the function of this portion of the noise attenuation curve is taken as the noise attenuation rate of the blocker.

[0167] The ratio of the noise attenuation rate to the standard noise attenuation rate is used as the calculated noise attenuation coefficient for the corresponding noise propagation path.

[0168] In this embodiment, the calculated blocking coefficient represents a value calculated using the second noise attenuation curve, which indicates the degree of blocking or the influence of the noise blocker on the noise propagation path. This value will not be equal to the standard blocking coefficient due to the error of the second noise attenuation curve.

[0169] In this embodiment, based on the relevant parameters of all noise blockers, the standard blocking coefficient of each noise blocker for each noise propagation path is determined, including:

[0170] The sum of the products of the noise blockage object's height, blocking area, and blocking thickness, along with their respective weights, is used as the standard blocking coefficient for the corresponding noise propagation path.

[0171] In this embodiment, the standard blocking coefficient is a value calculated based on the relevant parameters of the noise blocking object, representing the degree of blocking or the influence of the noise blocking object on the noise propagation path under normal conditions.

[0172] In this embodiment, based on the standard blocking coefficient and calculated blocking coefficient of each noise blockage for each noise propagation path, the second noise attenuation curves for all noise propagation paths are corrected, including:

[0173] The standard blocking coefficient and calculated blocking coefficient of each noise blocker for each noise propagation path, as well as the second noise attenuation curve of all noise propagation paths, are input into the preset correction model to obtain the optimal noise attenuation curve for each noise propagation path.

[0174] The preset calibration model is a model trained using training samples. The training samples include an uncalibrated noise attenuation curve and corresponding standard occlusion coefficient and calculated occlusion coefficient (used as model input, obtained by monitoring noise data and further analyzing and calculating it under experimental conditions of adding a single noise occlusion object in an interference-free environment; its noise attenuation curve is generated in the same way as the second noise attenuation curve in this embodiment; in addition, the standard occlusion coefficient and calculated occlusion coefficient are also the same as those described in embodiments 1 to 9) and the corresponding calibrated optimal noise attenuation curve (used as model output, obtained in an experiment under interference-free conditions; the noise source conditions in the experiment are the same as those in the noise attenuation curve of the corresponding model input; the optimal noise attenuation curve is generated in the same way as the second noise attenuation curve in this embodiment; that is, the only experimental variable for obtaining the optimal noise attenuation curve and the noise attenuation curve in the corresponding model input is the addition of other interference noise).

[0175] The beneficial effects of the above technology are as follows: based on the calculated blocking coefficient and standard blocking coefficient of each noise block for each noise propagation path, the second noise attenuation curve is corrected, thereby achieving accurate correction of the second noise attenuation curve.

[0176] Example 10:

[0177] Based on Example 6, the method for analyzing the impact of substation noise on sensitive residential areas, S4: Based on the noise attenuation analysis results, all sensitive residential areas within a preset range around the substation are identified, along with the degree of impact of substation noise on each sensitive residential area, including:

[0178] Based on the optimal noise attenuation curves of all noise propagation paths in the noise attenuation analysis results, the representative noise decibel values ​​of all online noise sensors are determined.

[0179] Among all online noise sensors, the one closest to each residential area is identified and used as the reference noise sensor for that residential area.

[0180] Among all residential areas within a preset range around the substation, those residential areas whose corresponding reference noise sensor noise decibel values ​​exceed the decibel threshold are selected as sensitive residential areas.

[0181] Based on the representative decibel values ​​of the reference noise sensor at each resident's sensitive point, the degree of impact of substation noise on each resident's sensitive point is determined.

[0182] In this embodiment, based on the optimal noise attenuation curves of all noise propagation paths in the noise attenuation analysis results, the representative noise decibel value of all online noise sensors is determined: the average value of the values ​​of each online noise sensor in the optimal noise attenuation curves of all noise propagation paths in the noise attenuation analysis results is taken as the representative noise decibel value of the corresponding online noise sensor.

[0183] In this embodiment, the decibel threshold is a preset value that the noise decibel representative value of the reference noise sensor at the sensitive point of the resident must exceed.

[0184] In this embodiment, based on the representative decibel value of the noise from the reference noise sensor at each residential sensitive point, the degree of impact of substation noise on each residential sensitive point is determined, including:

[0185] Based on a pre-defined list of representative noise decibel values ​​and impact levels of reference noise sensors, the impact level corresponding to the representative noise decibel value of the reference noise sensor at each resident's sensitive point is determined.

[0186] The beneficial effects of the above technology are as follows: by calculating the representative decibel values ​​of noise from all online noise sensors and determining the reference noise sensor for residential areas, the accurate screening of sensitive residential areas and the accurate determination of the impact of substation noise on each sensitive residential area can be achieved using these two parameters.

[0187] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for analyzing the impact of substation noise on sensitive residential areas, characterized in that, include: S1: Based on satellite remote sensing images of the substation and the surrounding area within a preset range, determine the remote sensing spatial location data of the substation and the surrounding area within a preset range. S2: Based on remote sensing spatial location data, an array of noise measurement points is set up within a preset range around the substation, including: S201: Determine the noise propagation path between each noise source within the station and each residential area based on remote sensing spatial location data; S202: Set up an array of noise measurement points in and around the substation based on all noise propagation paths; S3: Based on the noise monitoring data and remote sensing spatial location data of all online noise sensors within the noise measurement point array within a preset period, noise attenuation analysis is performed to obtain the noise attenuation analysis results, including: Based on the first preset sampling interval, the noise monitoring data of each online noise sensor in the noise measurement point array is sampled within a preset period to obtain the noise decibel value sequence of each online noise sensor; Based on the noise propagation direction on each noise propagation path, all online noise sensors located on each noise propagation path are sorted to obtain the noise path order of all target noise sensors on each noise propagation path. Based on the noise path sequence of all target noise sensors for each noise propagation path, the noise decibel values ​​at the same sorting position in the noise decibel value sequence of all target noise sensors are subjected to sequential curve fitting to obtain the first noise attenuation curve of each noise propagation path at multiple sampling times. Based on the first noise attenuation curves of each noise propagation path at multiple sampling times, a cross-fusion correction is performed to obtain the second noise attenuation curve of each noise propagation path. The spatial locations of all noise-blocking objects were determined based on remote sensing spatial location data; Based on the spatial location of all noise blockers and the second noise attenuation curves of all noise propagation paths, the calculated blocking coefficient of each noise blocker for each noise propagation path is determined. Based on the relevant parameters of all noise blockers, the standard blocking coefficient of each noise blocker for each noise propagation path is determined; Based on the standard blocking coefficient and calculated blocking coefficient of each noise block for each noise propagation path, the second noise attenuation curve of all noise propagation paths is corrected to obtain the optimal noise attenuation curve for each noise propagation path. The optimal noise attenuation curves for all noise propagation paths are summarized as the noise attenuation analysis results; S4: Based on the noise attenuation analysis results, identify all sensitive residential points and the degree of impact of substation noise on each sensitive residential point within a preset range around the substation. Among all residential areas within a preset range around the substation, those residential areas whose noise decibel values ​​of the corresponding reference noise sensors exceed the decibel threshold are selected as sensitive residential areas. Mutual fusion correction refers to: based on the first noise attenuation curve of each noise propagation path at multiple sampling times, by aligning the sampling to obtain the noise decibel jitter value and determine the real jitter position, the first noise attenuation curve is corrected and fused with the mean to obtain the second noise attenuation curve of each noise propagation path.

2. The method for analyzing the impact of substation noise on sensitive residential areas according to claim 1, characterized in that, S1: Based on satellite remote sensing imagery encompassing the substation and a predetermined surrounding area, determine the remote sensing spatial location data of the substation and its surrounding area, including: S101: Based on satellite remote sensing images including the substation and the preset range around the substation, determine the spatial relationship between all noise sources within the substation and all residential areas within the preset range around the substation, as well as all noise blocking objects. S102: The spatial location relationships of all noise sources within the substation, all residential areas within a preset range around the substation, and all noise-blocking objects are used to generate remote sensing spatial location data of the substation and its surrounding preset range.

3. The method for analyzing the impact of substation noise on sensitive residential areas according to claim 1, characterized in that, Based on remote sensing spatial location data, the noise propagation path between each noise source within the station and each residential area was determined, including: Based on remote sensing spatial location data, the spatial relationship between each noise source within the station and each residential area was determined; Based on the spatial relationship between each noise source within the station and each residential area, a straight-line spatial path from each noise source within the station to each residential area is determined, which serves as the noise propagation path between each noise source within the station and each residential area.

4. The method for analyzing the impact of substation noise on sensitive residential areas according to claim 1, characterized in that, An array of noise measurement points is set up within a predetermined range around the substation based on all noise propagation paths, including: Based on remote sensing spatial location data, the spatial location of each noise-blocking object was determined; Based on the spatial location of all noise blockages, determine all noise blockages that each noise propagation path passes through; Based on the spatial location and preset spacing of all noise blocking objects along each noise propagation path, an array of noise measurement points is set up in and around the substation within a preset range.

5. The method for analyzing the impact of substation noise on sensitive residential areas according to claim 1, characterized in that, Based on the first noise attenuation curves of each noise propagation path at multiple sampling times, a cross-fusion correction is performed to obtain the second noise attenuation curve of each noise propagation path, including: Based on the second preset sampling interval, the first noise attenuation curve of each noise propagation path at multiple sampling times is aligned and sampled to obtain multiple noise decibel sampling values ​​at each aligned sampling position. The difference between the maximum and minimum values ​​of all noise decibel samples at each aligned sampling position is determined as the noise decibel jitter value at each aligned sampling position in time. The aligned sampling position where the noise decibel jitter value is not less than the jitter threshold is determined as the hypothetical jitter position, and at least one hypothetical jitter region is extracted from the horizontal coordinate coverage of the first noise attenuation curve based on all consecutive hypothetical jitter positions. Hypothetical jitter regions containing no more than a threshold number of hypothetical jitter locations are considered as real jitter regions. All aligned sampling positions in all real jitter regions, as well as all hypothetical jitter positions that do not belong to the hypothetical jitter region or the real jitter region, are treated as real jitter positions. Based on the noise decibel jitter values ​​at all aligned sampling positions and all true jitter positions for each noise propagation path, the first noise attenuation curves for each noise propagation path at multiple sampling times are fused and corrected to obtain the second noise attenuation curve for each noise propagation path.

6. The method for analyzing the impact of substation noise on sensitive residential areas according to claim 5, characterized in that, Based on the noise decibel jitter values ​​at all aligned sampling positions and all true jitter positions for each noise propagation path, the first noise attenuation curves for each noise propagation path at multiple sampling times are cross-fused and corrected to obtain the second noise attenuation curve for each noise propagation path, including: Based on the distribution order of all aligned sampling positions in the first noise attenuation curve, the noise decibel jitter values ​​of all aligned sampling positions other than all jitter positions are curve fitted to obtain the jitter value change curve of the corresponding noise propagation path, and the reasonable jitter value of all real jitter positions is determined based on the jitter value change curve. Based on the reasonable jitter values ​​at all real jitter locations, the first noise attenuation curve of each noise propagation path at multiple sampling times is corrected to obtain the noise attenuation correction curve of each noise propagation path at multiple sampling times. The noise attenuation correction curves for each noise propagation path at all sampling times are averaged and fused to obtain a second noise attenuation curve for each noise propagation path.

7. The method for analyzing the impact of substation noise on sensitive residential areas according to claim 1, characterized in that, S4: Based on the noise attenuation analysis results, identify all sensitive residential points within a predetermined range around the substation and determine the degree of impact of substation noise on each sensitive residential point, including: Based on the optimal noise attenuation curves of all noise propagation paths in the noise attenuation analysis results, the representative noise decibel values ​​of all online noise sensors are determined. Among all online noise sensors, the one closest to each residential area is identified and used as the reference noise sensor for that residential area. Among all residential areas within a preset range around the substation, those residential areas whose corresponding reference noise sensor noise decibel values ​​exceed the decibel threshold are selected as sensitive residential areas. Based on the representative decibel values ​​of the reference noise sensor at each resident's sensitive point, the degree of impact of substation noise on each resident's sensitive point is determined.

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