Airport surrounding area noise isoline drawing real-time updating system based on actual monitoring

Abstract

The invention relates to the technical field of environment monitoring, and particularly discloses an airport surrounding area noise contour line drawing real-time updating system based on actual monitoring, which comprises a noise monitoring module, a data processing module, a contour line drawing module and a real-time updating module, through the noise monitoring module and the real-time updating module, the system can realize dynamic acquisition of noise data and real-time updating of a contour map, high synchronization of a noise distribution map and an actual noise environment is ensured, accurate real-time data support is provided for airport noise management, a spatial interpolation algorithm is combined, and the real-time updating of the contour map is realized. The contour map generated by the system can reflect noise distribution characteristics of the surrounding area of the airport in detail, the system can display noise distribution of the surrounding area of the airport in a noise contour map form through the contour line drawing module, clear and visual noise condition display is provided for managers and the public, and rapid evaluation and decision making are facilitated.

Description

Technical Field

[0001] The invention belongs to the technical field of environmental monitoring, and in particular relates to a real-time updating system for drawing noise contour lines in an area around an airport based on actual monitoring. Background Art

[0002] In the area around the airport, due to the frequent take-off and landing of aircraft and the strong engine noise, the airport noise pollution problem has long troubled the surrounding residents, affecting their quality of life and health. At the same time, noise may also have an adverse impact on commercial and public facilities near the airport. Therefore, airport noise monitoring and management has become an important part of environmental governance and urban planning.

[0003] Existing contour drawing methods are usually based on offline calculations or intermittent updates, which cannot quickly reflect changes in new monitoring data, causing noise contour maps to lag behind the actual environment and affect the timeliness of decision-making.

[0004] In this regard, the inventors propose a real-time updating system for drawing noise contour lines in the area around the airport based on actual monitoring to solve the above problems. Summary of the invention

[0005] The object of the present invention is to provide a real-time updating system for drawing noise contour lines in the area around an airport based on actual monitoring, so as to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A real-time updating system for drawing noise contour lines around airports based on actual monitoring, including:

[0008] Noise monitoring module: used to collect noise data in real time;

[0009] Data processing module: used for receiving the noise data, preprocessing, filtering and calibrating the noise data, and generating accurate noise intensity information;

[0010] Contour drawing module: based on the noise intensity information, using a spatial interpolation algorithm and a contour drawing algorithm to generate a noise contour map;

[0011] Real-time update module: dynamically update the noise contour map according to the newly added noise data to achieve real-time synchronization of noise distribution.

[0012] Preferably, the contour drawing module includes:

[0013] An interpolation algorithm unit, using at least one of Kriging interpolation, IDW interpolation or Spline interpolation algorithms to perform spatial interpolation on the noise data;

[0014] A drawing algorithm unit generates a noise contour map using a Marching Squares algorithm or a contour extraction algorithm;

[0015] The graded display unit uses a color gradient to show the noise intensity according to the noise level.

[0016] Preferably, the expression of Kriging interpolation is:

[0017]

[0018] in Predict the noise value at position s0;

[0019] Z(s i ): known position s i The noise value of

[0020] λi: interpolation weight, satisfying

[0021] N: the number of known points;

[0022] The weights λi are calculated through the covariance matrix C:

[0023] C·λ=c

[0024] Kriging interpolation can comprehensively consider spatial correlation and noise distribution law to generate high-precision noise prediction values.

[0025] Preferably, the Marching Squares algorithm is used to construct contour lines, and the steps are:

[0026] Define a threshold T for raster data;

[0027] Mark the cell state according to whether the vertex value of each cell is higher than T;

[0028] Use the table lookup method to connect the corresponding vertices to form contour segments;

[0029] Its expression is

[0030] Assume that the four vertex values ​​are v1, v2, v3, and v4, respectively.

[0031] s=[b1b2b3b4]2

[0032]

[0033] The above formula is used to efficiently generate contour lines and visualize noise distribution.

[0034] Preferably, the noise monitoring module includes:

[0035] Several noise monitoring points are located around the airport to collect noise data;

[0036] A data transmission device is used to transmit the collected noise data to the data processing module through wireless communication technology, including LoRa, NB-IoT or 4G / 5G.

[0037] Preferably, the data processing module includes:

[0038] A data receiving unit, used for receiving data transmitted by the noise monitoring module;

[0039] Data preprocessing unit, used to detect outliers, filter and calibrate noise data to eliminate interference and errors;

[0040] Data storage unit, used to store real-time data and historical data, supporting long-term trend analysis of noise distribution.

[0041] Preferably, the real-time update module includes:

[0042] The differential update unit recalculates and draws only the areas affected by the newly added noise data;

[0043] The cache management unit is used to store the most recently drawn contour line data to improve the updating efficiency.

[0044] Preferably, the system further comprises a user interface module: used for providing a visual interface, displaying a noise contour map updated in real time, and supporting user interactive operations.

[0045] Preferably, the user interface module includes:

[0046] Map display unit, used to integrate high-precision regional maps and overlay noise contours;

[0047] Interactive operation unit for zooming, panning contour maps and clicking to view detailed noise data;

[0048] Custom setting unit for adjusting contour line spacing, color gradient and noise threshold.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] (1) Through the noise monitoring module and the real-time updating module, the system can realize the dynamic collection of noise data and the real-time updating of the contour map, ensure the high synchronization between the noise distribution map and the actual noise environment, and provide accurate real-time data support for airport noise management. Combined with the spatial interpolation algorithm, the contour map generated by the system can reflect the noise distribution characteristics of the area around the airport in detail.

[0051] (2) The present invention uses a differential update mechanism to recalculate interpolation and update contour lines only for areas where noise data has changed, significantly reducing the amount of system calculations, improving operating efficiency, and reducing hardware resource usage and energy consumption. Through the contour line drawing module, the system can display the noise distribution in the area around the airport in the form of a noise contour line map, providing managers and the public with a clear and intuitive display of the noise situation, facilitating rapid evaluation and decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 The present invention is a block diagram of a real-time updating system for drawing noise contour lines in the surrounding area of ​​an airport based on actual monitoring. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] Embodiment 1:

[0055] See also Figure 1 As shown, a real-time updating system for drawing noise contour lines in the area around an airport based on actual monitoring includes:

[0056] Noise monitoring module: used to collect noise data in real time;

[0057] Multiple noise monitoring points are set up around the airport to collect noise data in real time and transmit it to the data processing module.

[0058] Data processing module: used for receiving the noise data, preprocessing, filtering and calibrating the noise data, and generating accurate noise intensity information to ensure data accuracy and reliability;

[0059] Contour drawing module: based on the noise intensity information, using a spatial interpolation algorithm and a contour drawing algorithm to generate a noise contour map;

[0060] Real-time update module: dynamically update the noise contour map according to the newly added noise data to achieve real-time synchronization of noise distribution.

[0061] As can be seen from the above, through the noise monitoring module and the real-time update module, the system can realize the dynamic collection of noise data and the real-time update of the contour map, ensuring the high synchronization of the noise distribution map with the actual noise environment, providing accurate real-time data support for airport noise management. Combined with the spatial interpolation algorithm, the contour map generated by the system can carefully reflect the noise distribution characteristics of the area around the airport;

[0062] Through the differential update mechanism, interpolation and contour lines are recalculated and updated only for areas where noise data has changed, which significantly reduces the amount of system calculations, improves operational efficiency, and reduces hardware resource usage and energy consumption. Through the contour line drawing module, the system can display the noise distribution in the area around the airport in the form of a noise contour line map, providing managers and the public with a clear and intuitive display of the noise situation, facilitating rapid evaluation and decision-making.

[0063] Embodiment 2:

[0064] In the noise monitoring module, a high-precision noise meter is used to record the noise intensity value in the environment at fixed time intervals (for example, every second or every minute).

[0065] The unit of noise data is decibel (dB), and A-weighted (dBA) is usually used to express the noise intensity perceived by the human ear.

[0066] Data collection method: The noise meter is equipped with a microphone sensor to detect sound wave signals.

[0067] The analog signal is converted into digital data by analog-to-digital conversion (ADC).

[0068] Furthermore, a Class 1 noise meter is used, which has high accuracy (±1dB) and a wide measurement range (30–130dB).

[0069] Distribution of noise monitoring points: arranged according to noise-sensitive areas within the airport area (such as residential areas, schools, commercial areas, etc.).

[0070] The density of monitoring points is set at 5 monitoring points per square kilometer, covering a radius of 5 kilometers.

[0071] Data transmission method: Use NB-IoT low-power wide area network technology to achieve stable, low-latency noise data transmission; the transmission interval is once per minute, and the delay is less than 10 seconds.

[0072] Specifically, in the data processing module, the preprocessing adopts outlier removal, that is, the 3σ principle is adopted to remove the noise value that deviates from the mean μ by more than 3 times the standard deviation σ, such as μ=70dB,σ=2dB, and the removal range is [64,76];

[0073] The filtering process uses a low-pass filter to eliminate high-frequency noise;

[0074] Calibration adjusts the data according to the standard noise response curve of the device to reduce the differences between devices. The calibration factor k is calculated through the test signal. If the device response deviation is 2dB, then k = -2dB.

[0075] Specifically, the contour drawing module includes:

[0076] The interpolation algorithm unit uses Kriging interpolation to perform spatial interpolation on the noise data;

[0077] The drawing algorithm unit generates noise contour maps using the Marching Squares algorithm;

[0078] A graded display unit that displays noise intensity using a color gradient according to the noise level;

[0079] The expression of Kriging interpolation is:

[0080]

[0081] in Predict the noise value at position s0;

[0082] Z(s i ): known position s i The noise value of

[0083] λi: interpolation weight, satisfying

[0084] N: the number of known points;

[0085] The weights λi are calculated through the covariance matrix C:

[0086] C·λ=c

[0087] Kriging interpolation can comprehensively consider spatial correlation and noise distribution law to generate high-precision noise prediction values.

[0088] parameter:

[0089] Covariance model (exponential model): reflects the attenuation relationship between noise value and spatial distance.

[0090] Interpolation radius: such as 500 meters, indicating the range of reference points used for prediction;

[0091] Using the Marching Squares algorithm, contour lines are drawn by comparing the noise values ​​of the grid points with the preset thresholds (e.g., 65 dB, 70 dB);

[0092] The Marching Squares algorithm is used to construct contour lines. The steps are:

[0093] Define a threshold T for raster data;

[0094] Mark the cell state according to whether the vertex value of each cell is higher than T;

[0095] Use the table lookup method to connect the corresponding vertices to form contour segments;

[0096] Its expression is

[0097] Assume that the four vertex values ​​are v1, v2, v3, and v4, respectively.

[0098] s=[b1b2b3b4]2

[0099]

[0100] The above formula is used to efficiently generate contour lines and visualize noise distribution.

[0101] Contour line spacing (e.g. 5dB), displayed noise range (e.g. 30–130dB).

[0102] Specifically, in the real-time update module, the real-time update module includes:

[0103] The differential update unit recalculates and draws only the areas affected by the newly added noise data;

[0104] Using the differential update mechanism, only the areas with significant changes in new data are recalculated and the contour lines are updated, saving computing resources;

[0105] Differential threshold ∈, for example ∈ = 2dB, that is, the area where the noise value changes by more than 2dB needs to be updated;

[0106] The refresh interval of the contour map is usually every minute.

[0107] Parameters: Update delay is less than 10 seconds to ensure real-time performance;

[0108] The cache management unit is used to store the most recently drawn contour line data to improve the updating efficiency.

[0109] Specifically, the system also includes a user interface module: used to provide a visual interface, display a noise contour map updated in real time, and support user interactive operations;

[0110] Interactive features include:

[0111] Zoom: Use the mouse wheel or touch to adjust the map display scale. The parameter is the zoom factor (such as 0.5× to 4×).

[0112] Pan: Drag the map to view different areas. The parameter is the pan distance (such as 50 pixels).

[0113] Click query: When the user clicks on the map, the system displays the noise data and change trend of the point, and the parameter is the query radius (such as 50 meters);

[0114] Data Export:

[0115] Supports exporting contour maps in PNG, PDF and other formats for report generation or subsequent analysis.

[0116] The user interface module includes:

[0117] Map display unit, used to integrate high-precision regional maps and overlay noise contours;

[0118] Interactive operation unit for zooming, panning contour maps and clicking to view detailed noise data;

[0119] Custom setting unit for adjusting contour line spacing, color gradient and noise threshold.

[0120] From the above, we can see that the system captures areas where noise exceeds the standard in real time, and based on the differential update mechanism, only recalculates the changed areas, significantly reducing the amount of calculation. The system helps airports optimize flight paths and operating hours, reduce noise impacts on sensitive areas, and promote the harmonious development of airports and communities.

[0121] Through scientific data analysis, it helps to formulate noise prevention and control measures such as sound insulation wall construction and green belt planning to reduce health risks for residents; the system is suitable for airports of different sizes and can be expanded to other high-noise places (such as railways, highways, industrial areas, etc.), providing a universal solution for multi-scenario noise monitoring and management.

[0122] Through precise analysis of noise distribution, the system can provide a scientific basis for optimizing flight routes, adjusting airport operating hours, and formulating noise prevention and control measures (such as sound insulation facility planning), thereby reducing the impact of noise on surrounding residents, improving the quality of life, and promoting the harmonious development of airports and communities.

[0123] Embodiment three:

[0124] This design is specifically applied to the field of airport noise monitoring. An international airport is located in the suburbs of a city. The noise pollution caused by aircraft takeoffs and landings has attracted great attention from surrounding residents and management departments. In order to timely grasp the noise conditions in the area around the airport and take effective measures, it is necessary to deploy a real-time monitoring and dynamically updated noise contour system to provide accurate noise distribution maps and excessive warning functions.

[0125] 1. System deployment

[0126] Noise monitoring module

[0127] 25 noise monitoring points are set up around the airport, distributed in major noise-sensitive areas (such as residential areas and schools) within a 5-kilometer radius.

[0128] Each monitoring point is equipped with a Class 1 noise meter that supports 1 second data sampling interval, has a measurement range of 30–130dB, and an accuracy of ±1dB.

[0129] The data is transmitted to the system server through the NB-IoT communication module.

[0130] Data processing module

[0131] Preprocessing includes:

[0132] Outlier elimination: Based on the 3σ principle (the threshold is set to 3 times the standard deviation).

[0133] Filtering: Use a low-pass filter with a smoothing coefficient of a=0.3a=0.3a=0.3.

[0134] Output the average noise value of each monitoring point per minute.

[0135] Contour drawing module

[0136] Interpolation algorithm: Kriging interpolation is used, spatial correlation is considered, the covariance model is set to the exponential model, and the interpolation radius is 500 meters.

[0137] Drawing algorithm: Use the Marching Squares algorithm with a threshold interval of 5dB (such as 65dB, 70dB, 75dB, etc.).

[0138] Live Update Module

[0139] Differential update threshold: set to ∈=2dB\epsilon=2dB∈=2dB, and only update the area where the change exceeds the threshold.

[0140] Update cycle: The contour map is updated once every minute.

[0141] User interface module

[0142] Display range: 5 km × 5 km high-precision map with a resolution of 10 meters.

[0143] Support functions: zoom, pan, click to view detailed noise data, and export contour maps.

[0144] 2. Implementation process and parameter examples

[0145] 2.1 Initial monitoring data collection

[0146] The following are the sampling values ​​of some monitoring points (unit: dB):

[0147]

[0148] 3.2 Data processing

[0149] Outlier elimination: Eliminate data beyond the range of μ±3σ. Where μ=70,σ=2, then eliminate abnormal data with noise values ​​lower than 64 or higher than 76.

[0150] Filtering: Set a = 0.3, for the noise data of P1: y[1] = 0.3 × 72.1 + 0.7 × 72.0 = 72.03 dB

[0151] 3.3 Contour line drawing

[0152] Interpolation calculation: Based on the Kriging algorithm, predict the noise value of a new point s0:

[0153] Known point data: (s1, Z = 72.0), (s2, Z = 65.0), (s3, Z = 58.0)

[0154] After weight calculation:

[0155] Contour drawing: Generate contour maps of 65dB, 70dB, and 75dB.

[0156] 3.4 Real-time Update

[0157] Assume that the noise value of P2 at 08:02 becomes 69.0dB, triggering a differential update:

[0158] Differential calculation: ΔZ = 69.0-65.2 = 3.8dB>∈

[0159] Recalculate interpolations and contours for the affected areas.

[0160] From the above, we can see that the system dynamically updates the contour lines once a minute, and the update delay is less than 10 seconds.

[0161] The mean square error (RMSE) of noise prediction based on Kriging interpolation is controlled within ±1.5dB.

[0162] The user interface clearly displays the noise distribution around the airport, and the legend intuitively identifies different noise levels.

[0163] Users can zoom in and out on the map to view detailed noise conditions, for example, the noise level in a residential area is 68dB.

[0164] The contour maps generated by the system provide a scientific basis for optimizing airport operation time and planning noise insulation measures.

[0165] The excessive warning module issues reminders to areas where the noise value exceeds 75dB, and managers respond quickly to avoid complaints from residents.

[0166] The system improves noise management efficiency through data analysis and visualization, and promotes the harmonious development of airports and communities.

[0167] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0168] In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other.

[0169] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A real-time updating system for drawing noise contour lines around airports based on actual monitoring, characterized in that: include: Noise monitoring module: used to collect noise data in real time; Data processing module: used for receiving the noise data, preprocessing, filtering and calibrating the noise data, and generating accurate noise intensity information; Contour drawing module: based on the noise intensity information, used to generate a noise contour map by using a spatial interpolation algorithm and a contour drawing algorithm; Real-time update module: used to dynamically update the noise contour map according to the newly added noise data to achieve real-time synchronization of noise distribution.

2. A real-time updating system for drawing noise contour lines in the area around an airport based on actual monitoring according to claim 1, characterized in that: The contour drawing module comprises: An interpolation algorithm unit, using at least one of Kriging interpolation, IDW interpolation or Spline interpolation algorithms to perform spatial interpolation on the noise data; A drawing algorithm unit generates a noise contour map using a Marching Squares algorithm or a contour extraction algorithm; The graded display unit uses a color gradient to show the noise intensity according to the noise level.

3. The real-time updating system for drawing noise contour lines in the surrounding area of ​​an airport based on actual monitoring according to claim 2 is characterized in that: The expression of Kriging interpolation is: in Predict the noise value at position s0; Z(s i ): known position s i The noise value of λi: interpolation weight, satisfying N: the number of known points; The weights λi are calculated through the covariance matrix C: C·λ=c Kriging interpolation can comprehensively consider spatial correlation and noise distribution law to generate high-precision noise prediction values.

4. The real-time updating system for drawing noise contour lines in the area around an airport based on actual monitoring according to claim 2 is characterized in that: The Marching Squares algorithm is used to construct contour lines, and its steps are: Define a threshold T for raster data; Mark the cell state according to whether the vertex value of each cell is higher than T; Use the table lookup method to connect the corresponding vertices to form contour segments; Its expression is Assume that the four vertex values ​​are v1, v2, v3, and v4, respectively. s=[b1b2b3b4]2 The above formula is used to efficiently generate contour lines and visualize noise distribution.

5. The real-time updating system for drawing noise contour lines around airports based on actual monitoring according to claim 1 is characterized in that: The noise monitoring module comprises: Several noise monitoring points are located around the airport to collect noise data; A data transmission device is used to transmit the collected noise data to the data processing module through wireless communication technology, including LoRa, NB-IoT or 4G / 5G.

6. The real-time updating system for drawing noise contour lines in the area around an airport based on actual monitoring according to claim 1 is characterized in that: The data processing module comprises: A data receiving unit, used for receiving data transmitted by the noise monitoring module; Data preprocessing unit, used to detect outliers, filter and calibrate noise data to eliminate interference and errors; Data storage unit, used to store real-time data and historical data, supporting long-term trend analysis of noise distribution.

7. The real-time updating system for drawing noise contour lines in the area around an airport based on actual monitoring according to claim 1 is characterized in that: The real-time update module comprises: The differential update unit recalculates and draws only the areas affected by the newly added noise data; The cache management unit is used to store the most recently drawn contour line data to improve the updating efficiency.

8. The real-time updating system for drawing noise contour lines in the area around an airport based on actual monitoring according to claim 1 is characterized in that: The system also includes a user interface module: used for providing a visual interface, displaying a noise contour map updated in real time, and supporting user interactive operations.

9. A real-time updating system for drawing noise contour lines around airports based on actual monitoring according to claim 8, characterized in that: The user interface module comprises: Map display unit, used to integrate high-precision regional maps and overlay noise contours; Interactive operation unit for zooming, panning contour maps and clicking to view detailed noise data; Custom setting unit for adjusting contour line spacing, color gradient and noise threshold.

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