A method and system for evaluating elevator noise reduction

Abstract

This invention discloses an elevator noise reduction assessment method and system. The elevator noise reduction assessment method includes: collecting the first noise sound pressure level at the center of an equivalent elevator model under white noise and the second noise sound pressure level at the center of the elevator under operating noise; calculating a noise equivalence coefficient by combining the first and second noise sound pressure levels; calculating a noise reduction weighting factor for the elevator wall based on the noise equivalence coefficient and the placement of noise reduction materials on the elevator equivalent model wall, and assessing the relationship between the placement of the noise reduction materials and the noise reduction effect; and assessing the relationship between the hole area and the noise reduction effect based on the noise equivalence coefficient and the placement of holes of different sizes on the elevator equivalent model wall. This invention can quickly assess the noise reduction effect of noise reduction materials and can also optimize the layout of noise reduction materials on the elevator wall based on the noise reduction weighting factor, thereby improving the utilization rate of noise reduction materials.

Description

Technical Field

[0001] This invention belongs to the field of elevator noise reduction assessment technology, specifically relating to an elevator noise reduction assessment method and assessment system. Background Technology

[0002] Current methods for evaluating the noise reduction performance of elevator cars primarily involve installing noise-reducing materials on actual elevators and then running the elevators to confirm the noise reduction effect. However, many additional noise sources arise during elevator operation, making it impossible to accurately assess the sound insulation performance of noise-reducing materials. Furthermore, conducting tests on actual elevators requires significant manpower and installation time, hindering the generation of quick conclusions.

[0003] Traditional impedance tube or reverberation chamber methods can only provide information such as the sound absorption coefficient and noise reduction performance of materials, but cannot provide the noise reduction contribution factor of the elevator wall location. Therefore, they cannot guide the optimal layout of elevator noise reduction materials, resulting in a certain waste of noise reduction materials.

[0004] Furthermore, when gaps exist in the elevator wall panels, sound leakage will occur (noise from outside the elevator will enter the elevator), and traditional assessment methods cannot provide relevant impact analysis. Summary of the Invention

[0005] To overcome one or more of the above-mentioned technical defects, the present invention provides an elevator noise reduction assessment method and assessment system, which can quickly assess the noise reduction effect of noise reduction materials and improve assessment efficiency.

[0006] To address the aforementioned problems, the first aspect of this invention provides an elevator noise reduction assessment method, comprising:

[0007] The sound pressure of the first noise at the center of the elevator equivalent model under white noise and the sound pressure of the second noise at the center of the elevator under working noise are collected. The noise equivalence coefficient is calculated by combining the first noise sound pressure and the second noise sound pressure.

[0008] Based on the noise equivalence coefficient and the placement of noise reduction materials on the walls of the elevator equivalent model, the noise reduction weight factor of the elevator walls is calculated, and the relationship between the placement of noise reduction materials and the noise reduction effect is evaluated.

[0009] Based on the noise equivalence coefficient, different sizes of holes are set on the wall of the elevator equivalent model to evaluate the relationship between the hole area and the noise reduction effect.

[0010] Furthermore, the acquisition of the first noise sound pressure at the center of the elevator equivalent model under white noise and the second noise sound pressure at the center of the elevator under operating noise, combined with the first and second noise sound pressures, to calculate the noise equivalence coefficient, includes:

[0011] The sound pressure levels of the first noise at the center of multiple elevator equivalent models under white noise and at different operating levels were collected, and the average value of the multiple first noise sound pressure levels was calculated.

[0012] Collect the second noise sound pressure level at the center of multiple actual elevators under working noise, and calculate the average value of multiple second noise sound pressure levels;

[0013] The ratio of the average sound pressure level of the first noise to the average sound pressure level of the second noise is the noise equivalence coefficient.

[0014] Furthermore, the step of calculating the noise reduction weighting factor of the elevator wall based on the noise equivalence coefficient and the placement position of the noise reduction material on the elevator equivalent model wall, and evaluating the relationship between the noise reduction material position and the noise reduction effect, includes:

[0015] The first sound insulation value was collected when white noise reduction material was installed on five different walls inside the elevator equivalent model.

[0016] The second sound insulation value was obtained when white noise reduction material was simultaneously installed on five different walls inside an equivalent elevator model.

[0017] By combining the first sound insulation value and the second sound insulation value, the noise reduction weighting factor of each of the five walls is calculated.

[0018] Furthermore, the step of calculating the noise reduction weighting factor of the elevator wall based on the noise equivalence coefficient and the placement position of the noise reduction material on the elevator equivalent model wall, and evaluating the relationship between the noise reduction material position and the noise reduction effect, also includes:

[0019] The placement of noise reduction materials is optimized based on the noise reduction weighting factor and noise equivalence coefficient of each wall surface.

[0020] Furthermore, the claim evaluates the relationship between the hole area and the noise reduction effect based on the noise equivalence coefficient and by setting holes of different sizes on the wall of the elevator equivalent model, including:

[0021] The noise value at the center of the elevator equivalent model under white noise was collected when one of the walls of the elevator equivalent model had holes of different sizes.

[0022] Calculate the area difference between holes of different sizes and the noise difference between their corresponding noise values, and establish the correspondence between the sound leakage area and the noise value at the center of the elevator equivalent model.

[0023] A second aspect of the present invention provides an elevator noise reduction assessment system for implementing the above-described elevator noise reduction assessment method, comprising:

[0024] An equivalent elevator model is built and restored to the actual elevator structure on a proportional scale, and noise reduction materials are set in different locations according to test requirements or the wall surface with holes of different sizes is replaced according to test requirements.

[0025] The noise source is located outside the elevator equivalent model and is used to emit white noise;

[0026] The sound acquisition device is set inside the center of the elevator equivalent model. It is used to collect the first noise sound pressure at the center of the elevator equivalent model under white noise, the sound insulation when white noise reduction materials are set on the inner wall of the elevator equivalent model at the same time or at different times, and the noise value at the center of the elevator equivalent model when one of the walls of the elevator equivalent model has holes of different sizes.

[0027] The control module, connected to the sound source acquisition device, is used to receive the noise, sound insulation, and noise value collected by the sound acquisition device and to process the data.

[0028] A third aspect of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the calculation steps of the above-described method.

[0029] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the calculation steps of the above-described method.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] This invention discloses an elevator noise reduction assessment method and system. The elevator noise reduction assessment method includes: collecting the first noise sound pressure at the center of an equivalent elevator model under white noise and the second noise sound pressure at the center of the elevator under operating noise; calculating a noise equivalence coefficient by combining the first and second noise sound pressures; calculating a noise reduction weighting factor for the elevator wall based on the noise equivalence coefficient and the placement of noise reduction materials on the elevator equivalent model wall, and assessing the relationship between the placement of the noise reduction materials and the noise reduction effect; and assessing the relationship between the hole area and the noise reduction effect based on the noise equivalence coefficient and the placement of holes of different sizes on the elevator equivalent model wall. By obtaining the noise equivalence coefficient and the noise reduction weighting factor for the elevator wall, the noise reduction effect of the noise reduction materials can be quickly assessed, reducing interference from additional noise sources. Furthermore, the layout of the noise reduction materials on the elevator wall can be optimized based on the noise reduction weighting factor, improving the utilization rate of the noise reduction materials. In addition, the impact of elevator sound leakage on the noise reduction effect can be understood through the correspondence between the sound leakage area and the noise value at the elevator center. Attached Figure Description

[0032] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings, wherein:

[0033] Figure 1 This is a connection diagram of the elevator noise reduction assessment system described in the embodiment;

[0034] Figure 2 This is a flowchart of the elevator noise reduction assessment method described in the embodiment;

[0035] Figure 3 This is a schematic diagram of an elevator noise reduction assessment method described in the embodiment, in which a hole with an area of ​​S1 is provided on one wall of the elevator equivalent model (S2 and S3 are holes drawn with dashed lines);

[0036] Figure 4 This is a schematic diagram of the structure of the computer device described in the embodiment;

[0037] Labeling Explanation: 100, Elevator Equivalent Model; 200, Noise Source; 300, Control Module; 410, First Sound Collector; 420, Second Sound Collector; 500, Data Storage Module; 600, Sound Source Signal Input Module; 700, Power Amplification Module. Detailed Implementation

[0038] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0039] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0040] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this invention, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0041] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0042] In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set" and "connection" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0043] This application discloses an elevator noise reduction assessment system, such as... Figure 1 The system includes an equivalent elevator model 100, a noise source 200, a sound acquisition device, and a control module 300. The equivalent elevator model 100 is constructed to scale according to the actual elevator structure. Noise-reducing materials are placed at different locations as needed for testing, or walls with holes of different sizes are replaced as required. The noise source 200 is located outside the equivalent elevator model 100 and emits white noise. The sound acquisition device is located at the center of the equivalent elevator model 100 and is used to collect the first noise sound pressure at the center of the equivalent elevator model under white noise, the second noise sound pressure at the center of the actual elevator under operating noise, the noise value at the center of the equivalent elevator model when white noise and noise-reducing materials are simultaneously or separately placed on the inner walls of the equivalent elevator model, and the noise value at the center of the equivalent elevator model when one wall of the equivalent elevator model has holes of different sizes. The control module 300 is connected to the sound source acquisition device and is used to receive the noise sound, sound insulation, and noise value collected by the sound acquisition device and perform data processing.

[0044] Specifically, the sound acquisition device includes a first sound collector 410 and a second sound collector 420. The first sound collector 410 is located at the center inside the elevator equivalent model 100, and collects the noise sound pressure inside the elevator equivalent model 100 after being treated with noise reduction materials in real time. The second sound collector 420 is located on the right side of the elevator equivalent model 100, and collects the noise sound pressure without noise reduction materials in real time. The position of the second sound collector can be set according to actual needs, and is not limited to being located on the right side of the elevator equivalent model. Specifically, the sound acquisition device also includes a third sound collector, located at the center of the actual elevator, to collect the noise sound pressure at the center of the actual elevator when it is working.

[0045] Specifically, it also includes a data storage module 500, a sound source signal input module 600, and a power amplification module 700. The data storage module 500 is connected to the first sound acquisition unit 410, the second sound acquisition unit 420, and the control module 300, respectively, to store the acquired sound data. The sound source signal input module 600 is connected to the noise source 200 through the power amplification module 700 to generate signals of different sound source types.

[0046] This application also discloses an elevator noise reduction assessment method, such as... Figure 2-3 ,include:

[0047] S10. Collect the first noise sound pressure T at the center of the elevator equivalent model under white noise and the second noise sound pressure K at the center of the actual elevator under working noise. Combine the first noise sound pressure T and the second noise sound pressure K to calculate the noise equivalence coefficient W(x).

[0048] In this embodiment, step S1 includes:

[0049] The sound pressure levels T1, T2, T3…Ti of the first noise at the center of multiple elevator equivalent models under white noise and at different operating levels were collected, and the average value of the multiple first noise sound pressure levels was calculated:

[0050] The sound pressure levels of multiple secondary noise sources located at the actual elevator center under operating noise conditions (K1, K2, K3...Ki) were collected, and the average value of these multiple secondary noise sound pressure levels was calculated.

[0051] The noise equivalence factor is the ratio of the mean sound pressure level of the first noise level to the mean sound pressure level of the second noise level.

[0052] S20. Based on the noise equivalence coefficient W(x) and the location of the noise reduction material on the elevator wall, calculate the noise reduction weight factor of the elevator wall and evaluate the relationship between the location of the noise reduction material and the noise reduction effect.

[0053] Noise-reducing material was applied to five walls within the equivalent elevator model. Walls without noise-reducing material simulated the elevator car walls. These five walls simulated the left, right, rear, top, and bottom walls of the elevator car. The top wall was designated as the perpendicular incident surface for the sound waves, simulating the pulsating pressure surface during car operation, while the opposite surface was designated as the bottom wall. The remaining walls were parallel to the sound waves, simulating the side walls of the elevator. The positional relationship between the walls and the sound waves in the equivalent elevator model corresponded to the positional relationship between the walls and the sound waves within the elevator car.

[0054] In this embodiment, step S20 includes:

[0055] Since the location of each wall surface and the incident angle of the sound wave are different, the sound insulation ΔL was collected when the noise reduction material was placed on the left wall surface of the elevator equivalent model. 左 The sound insulation ΔL when noise reduction material is installed on the right wall of the elevator equivalent model 右 The sound insulation ΔL when noise reduction material is installed on the rear wall of the elevator equivalent model 后 The sound insulation ΔL when noise reduction materials are installed on the car roof within the elevator equivalent model 上The sound insulation ΔL when noise reduction materials are installed under the elevator car in the equivalent elevator model 下 .

[0056] The sound insulation ΔL was measured when noise reduction materials were simultaneously installed on the left wall, right wall, rear wall, car top, and car bottom of the elevator equivalent model.

[0057] Combining sound insulation ΔL 左 And ΔL, calculate the noise reduction weighting factor of the left wall when the noise reduction material is installed on the left wall of the elevator equivalent model. Combining sound insulation ΔL 右 And ΔL, calculate the noise reduction weighting factor of the right wall when the noise reduction material is installed on the right wall of the elevator equivalent model. Similarly, calculate the noise reduction weighting factor N of the back wall. 后 Noise reduction weighting factor N for car roof 上 The noise reduction weighting factor N of the car bottom 下 .

[0058] Specifically, the sound insulation is obtained through the following steps:

[0059] Under the same noise level, the first sound pressure level P1 at the center inside the elevator equivalent model and the second sound pressure level P2 outside the elevator equivalent model are simultaneously collected. The sound insulation amount = P2 - P1. When the noise reduction material is placed on the left wall inside the elevator equivalent model, the first sound pressure level at the center inside the elevator equivalent model and the second sound pressure level outside the elevator equivalent model are simultaneously collected. In this case, the second sound pressure level - the first sound pressure level = the sound insulation amount ΔL. 左 .

[0060] Specifically, step S20 also includes:

[0061] Based on the noise reduction weighting factor N and the noise equivalence coefficient W(x) for each wall surface, the placement of noise reduction materials is optimized. The noise reduction effect ΔZ = W(x) * ΔL is obtained based on the noise reduction weighting factor N and the noise equivalence coefficient W(x) for each wall surface. More noise reduction material is applied to walls with better noise reduction effects, while less material is applied to walls with poorer noise reduction effects.

[0062] S30. Based on the noise equivalence coefficient, set up holes of different sizes on the wall of the elevator equivalent model, and evaluate the relationship between the hole area and the noise reduction effect.

[0063] In this embodiment, step S30 includes:

[0064] The noise level at the center of the elevator was collected when one wall of the elevator equivalent model had holes of different sizes:

[0065] Randomly select a wall of the elevator equivalent model, and replace the wall with holes of area S1, S2, and S3 in sequence, and collect the noise values ​​SPL1, SPL2, and SPL3 in the elevator equivalent model under the area of ​​these holes.

[0066] Calculate the area difference ΔS between holes of different sizes and the noise difference ΔSPL between their corresponding noise values, establish the correspondence between the sound leakage area and the noise value at the center of the elevator equivalent model LS(x), and obtain the noise reduction effect when the elevator equivalent model has a sound leakage area under the condition of laying noise reduction material.

[0067] Specifically, the correspondence between the sound leakage area and the noise value at the center of the elevator equivalent model, LS(x), can be combined with the noise equivalence coefficient W(x) to obtain the sound leakage situation of the elevator car. For example, when there are no holes, the sound leakage area (i.e., the hole area) is S0, and its sound pressure is SPL0; when the sound leakage area increases to S1, the corresponding sound pressure is SPL1. At this time, the sound pressure generated by the S1 hole increases by LS(10) = SPL1 - SPL0, and the actual increase in the sound pressure at the center of the elevator is LS(10) * W(x). Therefore, it can be seen that when the sound leakage area increases to S1, the quietness of the elevator is weakened. By comparing different hole areas, and combining the noise target value of the elevator product and the air flow rate requirements, a better hole reservation scheme can be evaluated.

[0068] The elevator car top includes moving parts such as guide shoes and deflector pulleys, while the car bottom includes guide shoes. These components contribute to external noise during elevator operation. For high-speed elevators, there is also noise from high-speed winds. These external factors increase the steady-state noise inside the car, affecting its quietness.

[0069] To address the aforementioned issues, existing technologies typically employ the following noise reduction solutions: 1. Directly replace the guide shoes or anti-rope pulleys; 2. Directly install sound insulation materials on the existing wall panels. However, due to the limited space in the shaft, the original wall panels need to be removed before the noise reduction materials can be attached to them, resulting in a significant workload.

[0070] The above noise reduction solutions also have the following drawbacks:

[0071] 1. The noise from the guide shoes is caused by the rotational impact between the guide shoes (roller guide shoes) and the guide rail. Replacing the guide shoes (roller guide shoes) with new ones does not actually solve the problem because the rotational characteristics of the guide shoes cannot be changed. Moreover, when replacing guide shoes, all four guide shoes need to be replaced at the same time. After the replacement, the car balance must be adjusted to prevent the car from becoming unbalanced, causing severe car vibration and further leading to new problems.

[0072] 2. During elevator operation, the deflector engages with the wire rope. As the wire rope enters and exits the groove, the weight change and the impact of this engagement on the deflector surface generate noise. Replacing the deflector does not change this inherent characteristic, and therefore the noise level remains high.

[0073] Laying noise-reducing materials on the elevator car walls is a superior, more direct, and effective method for reducing elevator car noise. Whether it's guide shoe noise or the meshing noise of the deflector pulley, noise can be reduced by laying noise-reducing materials on the elevator's interior walls to decrease the energy propagation of noise in the air. However, there are various types of noise-reducing materials on the market, such as rubber foam, solid rubber sheets, polyurethane foam, and melamine foam, each with different sound absorption coefficients and resulting in varying noise reduction effects. If existing methods are used, each of these noise-reducing materials needs to be installed on the elevator, requiring the removal and reinstallation of the elevator walls, with an estimated labor time of over 10 hours.

[0074] The elevator noise reduction assessment method proposed in this application involves laying noise-reducing materials in an equivalent elevator model. Since the equivalent elevator model is smaller than the actual elevator, the installation process is very convenient and can be completed within ten to fifteen minutes, greatly improving installation and testing efficiency. The method uses a noise source to provide the noise required for testing and assessment, obtaining the sound insulation ΔL of different noise-reducing materials. Combined with the noise equivalence coefficient W(x), the noise reduction effect ΔZ of each noise-reducing material (rubber foam, solid rubber sheet, polyurethane foam, melamine foam, etc.) is calculated, as shown in Table 1. The noise after laying noise-reducing materials on the car wall = original noise - sound insulation of the noise-reducing materials (i.e., actual noise reduction), enabling rapid prediction of the noise reduction effect of actual elevators.

[0075] Table 1

[0076]

[0077]

[0078] This application proposes an elevator noise reduction assessment method and system. By obtaining the noise equivalence coefficient and the noise reduction weighting factor of each wall surface's influence on the center sound pressure, it quickly assesses the noise reduction effect of noise reduction materials and corresponding noise reduction schemes in actual elevators, reducing external additional sound source interference. Furthermore, based on the noise reduction weighting factor, it optimizes the layout of noise reduction materials on elevator walls, improving the utilization rate of elevator noise reduction materials. In addition, by replacing one of the wall panels with apertures of different areas, the influence of different sound leakage areas on the center sound pressure is obtained, determining the noise reduction effect when the elevator has a sound leakage area even with noise reduction materials installed.

[0079] This application also discloses a computer device, which may be a server or terminal of an integrated scheduler, and its internal structure diagram may be as follows. Figure 4As shown, the computer device includes a processor, memory, and network interface connected via a system bus. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. When executed by the processor, the computer program implements the computational steps of an elevator noise reduction evaluation method.

[0080] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0081] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0082] Based on the collected first noise sound pressure at the center of the elevator equivalent model under white noise and the second noise sound pressure at the center of the elevator under working noise, the noise equivalence coefficient is calculated.

[0083] Based on the noise equivalence coefficient and the placement of noise reduction materials on the walls of the elevator equivalent model, the noise reduction weight factor of the elevator walls is calculated, and the relationship between the placement of noise reduction materials and the noise reduction effect is evaluated.

[0084] Based on the noise equivalence coefficient, different sizes of holes are set on the wall of the elevator equivalent model to evaluate the relationship between the hole area and the noise reduction effect.

[0085] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0086] The average value of the first noise sound pressure is calculated based on the collected first noise sound pressure at the center of multiple elevator equivalent models under white noise and different working levels.

[0087] The average value of the multiple second noise sound pressures collected at the center of the elevator under the working noise is calculated.

[0088] The ratio of the average sound pressure level of the first noise to the average sound pressure level of the second noise is used as the noise equivalence coefficient.

[0089] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0090] Based on the first sound insulation value when white noise reduction material is set on five different walls inside the elevator equivalent model, and the second sound insulation value when white noise reduction material is set on five different walls inside the elevator equivalent model, the noise reduction weight factor of each of the five walls is calculated.

[0091] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0092] Calculate the area difference between holes of different sizes and the noise difference between their corresponding noise values, and establish the correspondence between the sound leakage area and the noise value at the center of the elevator equivalent model.

[0093] This application also discloses a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the following steps:

[0094] Based on the collected first noise sound pressure at the center of the elevator equivalent model under white noise and the second noise sound pressure at the center of the elevator under working noise, the noise equivalence coefficient is calculated.

[0095] Based on the noise equivalence coefficient and the placement of noise reduction materials on the walls of the elevator equivalent model, the noise reduction weight factor of the elevator walls is calculated, and the relationship between the placement of noise reduction materials and the noise reduction effect is evaluated.

[0096] Based on the noise equivalence coefficient, different sizes of holes are set on the wall of the elevator equivalent model to evaluate the relationship between the hole area and the noise reduction effect.

[0097] In one embodiment, the computer program, when executed by a processor, further performs the following steps.

[0098] The average value of the first noise sound pressure is calculated based on the collected first noise sound pressure at the center of multiple elevator equivalent models under white noise and different working levels.

[0099] The average value of the multiple second noise sound pressures collected at the center of the elevator under the working noise is calculated.

[0100] The ratio of the average sound pressure level of the first noise to the average sound pressure level of the second noise is used as the noise equivalence coefficient.

[0101] In one embodiment, the computer program, when executed by a processor, further performs the following steps.

[0102] Based on the collected data on the first sound insulation of white noise reduction material when it is installed on five different walls inside the elevator equivalent model, and the second sound insulation of white noise reduction material when it is installed on five different walls inside the elevator equivalent model simultaneously, the noise reduction weighting factor for each of the five walls is calculated.

[0103] In one embodiment, the computer program, when executed by a processor, further performs the following steps.

[0104] Calculate the area difference between holes of different sizes and the noise difference between their corresponding noise values, and establish the correspondence between the sound leakage area and the noise value at the center of the elevator equivalent model.

[0105] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0106] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0107] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

[0108] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Therefore, any modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A method for evaluating elevator noise reduction, characterized in that, include: The sound pressure of the first noise at the center of the elevator equivalent model under white noise and the sound pressure of the second noise at the center of the elevator under working noise are collected. The noise equivalence coefficient is calculated by combining the first noise sound pressure and the second noise sound pressure. Based on the noise equivalence coefficient and the placement of noise reduction materials on the walls of the elevator equivalent model, the noise reduction weight factor of the elevator walls is calculated, and the relationship between the placement of noise reduction materials and the noise reduction effect is evaluated. Based on the noise equivalence coefficient, different sizes of holes are set on the wall of the elevator equivalent model to evaluate the relationship between the hole area and the noise reduction effect.

2. The elevator noise reduction assessment method according to claim 1, characterized in that, The first noise sound pressure level at the center of the elevator equivalent model under white noise and the second noise sound pressure level at the center of the elevator under operating noise are collected. The noise equivalence coefficient is calculated by combining the first and second noise sound pressure levels, including: The sound pressure levels of the first noise at the center of multiple elevator equivalent models under white noise and at different operating levels were collected, and the average value of the multiple first noise sound pressure levels was calculated. The sound pressure levels of multiple second noise sources located at the actual elevator center under operating noise conditions were collected, and the average value of the multiple second noise sound pressure levels was calculated. The ratio of the average sound pressure level of the first noise to the average sound pressure level of the second noise is used as the noise equivalence coefficient.

3. The elevator noise reduction assessment method according to claim 1, characterized in that, The process of calculating the noise reduction weighting factor of the elevator wall based on the noise equivalence coefficient and the placement of the noise reduction material on the elevator equivalent model wall, and evaluating the relationship between the noise reduction material placement and the noise reduction effect, includes: The first sound insulation value was collected when white noise reduction material was installed on five different walls inside the elevator equivalent model. The second sound insulation value was obtained when white noise reduction material was simultaneously installed on five different walls inside an equivalent elevator model. By combining the first sound insulation value and the second sound insulation value, the noise reduction weighting factor of each of the five walls is calculated.

4. The elevator noise reduction assessment method according to claim 1, characterized in that, The step of calculating the noise reduction weight factor of the elevator wall based on the noise equivalence coefficient and the placement position of the noise reduction material on the elevator equivalent model wall, and evaluating the relationship between the noise reduction material position and the noise reduction effect, further includes: The placement of noise reduction materials is optimized based on the noise reduction weighting factor and noise equivalence coefficient of each wall surface.

5. The elevator noise reduction assessment method according to claim 1, characterized in that, The claim, based on the noise equivalence coefficient and by setting up holes of different sizes on the wall of an elevator equivalent model, evaluates the relationship between the hole area and the noise reduction effect, including: The noise value at the center of the elevator equivalent model under white noise was collected when one of the walls of the elevator equivalent model had holes of different sizes. Calculate the area difference between holes of different sizes and the noise difference between their corresponding noise values, and establish the correspondence between the sound leakage area and the noise value at the center of the elevator equivalent model.

6. An elevator noise reduction assessment system, used to implement the elevator noise reduction assessment method according to any one of claims 1-5, characterized in that, include: An equivalent elevator model is built and restored to the actual elevator structure on a proportional scale, and noise reduction materials are set in different locations according to test requirements or the wall surface with holes of different sizes is replaced according to test requirements. The noise source is located outside the elevator equivalent model and is used to emit white noise; The sound acquisition device is set inside the center of the elevator equivalent model. It is used to collect the first noise sound pressure at the center of the elevator equivalent model under white noise, the sound insulation when white noise reduction materials are set on the inner wall of the elevator equivalent model at the same time or at different times, and the noise value at the center of the elevator equivalent model when one of the walls of the elevator equivalent model has holes of different sizes. The control module, connected to the sound source acquisition device, is used to receive the noise, sound insulation, and noise value collected by the sound acquisition device and to process the data.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the calculation steps of the method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the calculation steps of the method according to any one of claims 1 to 5.

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