Weighing equivalent continuous sensory noise level calculation method based on aviation noise event

Abstract

The invention provides a weighting equivalent continuous sensory noise level calculation method based on an aviation noise event, and the method comprises the steps: S101, analyzing a BID file, reading an LPNLT.bid file to obtain spectrum data, and calculating an EPNL of the aviation noise event; s102, calculating an EPNL value of a single aviation noise event; s103, calculating a noise level EPNL value caused by N successive aviation noise events based on all the aviation noise events of each day; and S104, calculating a weighted equivalent continuous sensory noise level WECPNL value based on an aviation noise event every day, and compared with a traditional EPNL calculation mode, the method not only considers the total noise level caused by flight passing through a fixed point within continuous monitoring time, but also considers different social influences caused by flight within different time, so that the calculation efficiency is improved. And the calculation result is more accurate and reasonable.

Description

Technical Field

[0001] The invention relates to the technical field of aviation noise monitoring, and in particular to a method for calculating a weighted equivalent continuous perceived noise level based on aviation noise events. Background Art

[0002] Aviation noise refers to the noise generated by aircraft (such as airplanes, helicopters, etc.) during takeoff, landing, climb, cruise and landing. This noise mainly comes from engines, aerodynamic noise (such as airflow noise of wings and fuselage), landing gear and flaps. Aviation noise has significant impacts on humans and the environment, such as affecting physical and mental health, changing the balance of ecosystems, and affecting biodiversity. Therefore, it is necessary to monitor aviation noise and develop noise reduction plans.

[0003] Effective Perceived Noise Level (EPNL) is a unit of measurement used to assess the impact of aircraft noise on human perception. EPNL is widely used in aircraft noise certification and environmental noise assessment, especially in the assessment of noise impact in residential areas around airports. The traditional way to calculate EPNL is to add 10 times the maximum perceived noise level (lmax) and log 10 [The actual duration in seconds is divided by 20], and finally 13 (db) is added to calculate the effective perceived noise level EPNL value of a single aviation noise event. The EPNL value calculated in this way is not accurate enough. Summary of the invention

[0004] In view of this, the object of the present invention is to provide a weighted equivalent continuous perceived noise level calculation method based on aviation noise events to improve the accuracy of EPNL calculation results.

[0005] To achieve the above-mentioned object of the invention, the present invention provides a method for calculating the weighted equivalent continuous perceived noise level based on aviation noise events, the method comprising the steps of:

[0006] S101, parsing the BID file, reading the LPNLT.bid file to obtain spectrum data for calculating the EPNL of the aviation noise event;

[0007] S102, calculating the EPNL value of a single aviation noise event;

[0008] S103, calculating the noise level EPNL value caused by N consecutive aviation noise events based on all aviation noise events every day;

[0009] S104. Calculate the weighted equivalent continuous perceived noise level WECPNL value based on aviation noise events every day.

[0010] Furthermore, step S101 specifically includes the following steps:

[0011] S201, reading the processed LPNLT.bid file path data from the database to obtain the LPNLT.bid file;

[0012] S202, read PNLT data from LPNLT.bid file;

[0013] S203, encapsulating PNLT data, site, and event information to obtain encapsulated data;

[0014] S204, storing the encapsulated data in a database, and writing the PNLT data into a file and uploading it to a distributed storage system;

[0015] S205: Update the storage path of the PNLT data in the distributed storage system to the database.

[0016] Furthermore, step S101 specifically includes the following steps:

[0017] S201, reading the processed LPNLT.bid file path data from the database to obtain the LPNLT.bid file;

[0018] S202, read PNLT data from LPNLT.bid file;

[0019] S203, encapsulating PNLT data, site, and event information to obtain encapsulated data;

[0020] S204, storing the encapsulated data in a database, and writing the PNLT data into a file and uploading it to a distributed storage system;

[0021] S205: Update the storage path of the PNLT data in the distributed storage system to the database.

[0022] Furthermore, step S103 specifically includes the following steps:

[0023] S401. Assuming that there are N aviation noise events every day, calculate the median value of the EPNL of a single event. Specifically, divide each EPNL by 10 as an exponent, calculate the exponential power of 10, and then multiply by 0.5 to obtain the calculated median value of a single EPNL. The calculation formula is:

[0024] 0.5*10 Lepnl / 10 ;

[0025] S402, accumulating N PNLTs to calculate the intermediate value, and then dividing by N;

[0026] S403, taking the logarithm Y of the result calculated in S402, lgY*10, and using the calculated result as the noise level EPNL value caused by N consecutive noise events.

[0027] Furthermore, step S104 specifically includes the following steps:

[0028] S501, counting the number of flights during the day n1, the number of flights in the evening n2, and the number of flights at night n3, respectively, and calculating the total number of flights n=n1+n2+n3;

[0029] S502, taking the logarithm of n, and then multiplying it by 10 to obtain a calculation result;

[0030] S503. Add the EPNL values ​​of all aviation noise events on that day to the calculation result obtained in S502, and subtract 39.4 (db). The final calculation result is the WECPNL value.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] The invention provides a weighted equivalent continuous perceived noise level calculation method based on aviation noise events. By calculating the average value of the effective perceived noise levels of all flight events, the invention not only takes into account the total noise level caused by flights passing through a fixed point during the continuous monitoring time, but also takes into account the different social impacts caused by flights at different times, so that the calculation result is more accurate and reasonable. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only preferred embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0034] Figure 1 The invention provides a schematic diagram of the overall flow of a method for calculating a weighted equivalent continuous perceived noise level based on aviation noise events. DETAILED DESCRIPTION

[0035] The principles and features of the present invention are described below in conjunction with the accompanying drawings. The enumerated embodiments are only used to explain the present invention and are not used to limit the scope of the present invention.

[0036] Reference Figure 1 This embodiment provides a method for calculating the weighted equivalent continuous perceived noise level based on aviation noise events, comprising the following steps:

[0037] S101, parsing the BID file, reading the LPNLT.bid file to obtain spectrum data for calculating the EPNL of the aviation noise event.

[0038] The BID file is a file in the .bid format, and the LPNLT.bid file is an original file generated by the noise monitoring terminal based on the collected sound signals.

[0039] S102. Calculate the EPNL value of a single aviation noise event.

[0040] S103. Calculate the noise level EPNL value caused by N consecutive aviation noise events based on all aviation noise events every day.

[0041] S104. Calculate the weighted equivalent continuous perceived noise level WECPNL value based on aviation noise events every day.

[0042] As an optional implementation, step S101 specifically includes the following steps:

[0043] S201. Read the processed LPNLT.bid file path data from the database to obtain the LPNLT.bid file.

[0044] S202. Read PNLT data from LPNLT.bid file.

[0045] S203, encapsulate the PNLT data, site, and event information to obtain encapsulated data.

[0046] PNLT is the tone-corrected perceived noise level, also known as the pure tone corrected perceived noise level. In this embodiment, the site is used to characterize the noise monitoring terminal device. The event information includes but is not limited to the original noise file, the noise audio file, the noise duration, and the noise type.

[0047] S204, storing the encapsulated data in a database, and writing the PNLT data into a file and uploading it to a distributed storage system.

[0048] Exemplarily, the distributed storage system may adopt minio, or may adopt other types of distributed storage systems, which is not specifically limited in this embodiment.

[0049] S205: Update the storage path of the PNLT data in the distributed storage system to the database.

[0050] In this optional implementation, the PNLT data is stored as minute data (all second-level data within one minute).

[0051] As an optional implementation, calculating the EPNL value of a single aviation noise event specifically includes:

[0052] S301, calculate the single PNLT intermediate value, the calculation method is to divide each PNLT by 10 as an exponent, calculate the exponent of 10, and then multiply by 0.5 to obtain the calculated intermediate value of the single PNLT, the calculation formula is as follows:

[0053] 0.5*10 Lpnlt / 10 .

[0054] S302 , accumulate N PNLTs to calculate the middle value, and then divide it by 10.

[0055] S303. Take the logarithm X of the result calculated in S302, lgX*10, and use the calculated result as the EPNL value of the single aviation noise event.

[0056] Assuming that a single event lasts for 3 minutes, the number of PNLTs N within 3 minutes is 3*60*2=360.

[0057] As an optional implementation, step S103 specifically includes the following steps:

[0058] S401. Assuming that there are N aviation noise events every day, calculate the median value of the EPNL of a single event. Specifically, divide each EPNL by 10 as an exponent, calculate the exponential power of 10, and then multiply by 0.5 to obtain the calculated median value of a single EPNL. The calculation formula is:

[0059] 0.5*10Lepnl / 10.

[0060] S402, accumulate N PNLTs to calculate the intermediate value, and then divide it by N.

[0061] S403, taking the logarithm Y of the result calculated in S402, lgY*10, and using the calculated result as the noise level EPNL value caused by N consecutive noise events.

[0062] Step S104 specifically includes the following steps:

[0063] S501. Count the number of flights during the day n1, the number of flights in the evening n2, and the number of flights at night n3 respectively, and calculate the total number of flights n=n1+n2+n3.

[0064] S502. Take the logarithm of n, and multiply it by 10 to obtain a calculation result.

[0065] S503. Add the EPNL values ​​of all aviation noise events on that day to the calculation result obtained in S502, and subtract 39.4 (db). The final calculation result is the WECPNL value.

[0066] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for calculating weighted equivalent continuous perceived noise level based on aviation noise events, characterized in that: The method comprises the following steps: S101, parsing the BID file, reading the LPNLT.bid file to obtain spectrum data for calculating the EPNL of the aviation noise event; S102, calculating the EPNL value of a single aviation noise event; S103, calculating the noise level EPNL value caused by N consecutive aviation noise events based on all aviation noise events every day; S104. Calculate the weighted equivalent continuous perceived noise level WECPNL value based on aviation noise events every day.

2. The method for calculating weighted equivalent continuous perceived noise level based on aviation noise events according to claim 1, characterized in that: Step S101 specifically includes the following steps: S201, reading the processed LPNLT.bid file path data from the database to obtain the LPNLT.bid file; S202, read PNLT data from LPNLT.bid file; S203, encapsulating PNLT data, site, and event information to obtain encapsulated data; S204, storing the encapsulated data in a database, and writing the PNLT data into a file and uploading it to a distributed storage system; S205: Update the storage path of the PNLT data in the distributed storage system to the database.

3. The method for calculating weighted equivalent continuous perceived noise level based on aviation noise events according to claim 1, characterized in that: Calculate the EPNL value of a single aviation noise event, including: S301, calculate the single PNLT intermediate value, the calculation method is to divide each PNLT by 10 as an exponent, calculate the exponent of 10, and then multiply by 0.5 to obtain the calculated intermediate value of the single PNLT, the calculation formula is as follows: 0.5*10 Lpnlt / 10 ； S302, accumulating N PNLTs to calculate the intermediate value, and then dividing by 10; S303. Take the logarithm X of the result calculated in S302, lgX*10, and use the calculated result as the EPNL value of the single aviation noise event.

4. The method for calculating weighted equivalent continuous perceived noise level based on aviation noise events according to claim 1, characterized in that: Step S103 specifically includes the following steps: S401. Assuming that there are N aviation noise events every day, calculate the median value of the EPNL of a single event. Specifically, divide each EPNL by 10 as an exponent, calculate the exponential power of 10, and then multiply by 0.5 to obtain the calculated median value of a single EPNL. The calculation formula is: 0.5*10 Lepnl / 10 ； S402, accumulating N PNLTs to calculate the intermediate value, and then dividing by N; S403, taking the logarithm Y of the result calculated in S402, lgY*10, and using the calculated result as the noise level EPNL value caused by N consecutive noise events.

5. The method for calculating weighted equivalent continuous perceived noise level based on aviation noise events according to claim 1, characterized in that: Step S104 specifically includes the following steps: S501, counting the number of flights during the day n1, the number of flights in the evening n2, and the number of flights at night n3, respectively, and calculating the total number of flights n=n1+n2+n3; S502, taking the logarithm of n, and then multiplying it by 10 to obtain a calculation result; S503. Add the EPNL values ​​of all aviation noise events on that day to the calculation result obtained in S502, and subtract 39.4 (db). The final calculation result is the WECPNL value.

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