Modular design method and system for construction machine noise

Abstract

This invention discloses a modular design method and system for noise control in engineering machinery. The method includes: decomposing the overall noise target of the machine into noise targets for each system; decomposing the noise targets of each system into noise targets for each component; verifying whether the noise targets of each component are met based on measured data; if met, verifying whether the noise targets of each system are met based on measured data, or predicting whether the noise targets of each system are met based on measured data of each component; if met, verifying whether the overall noise target of the machine is met based on measured data, or predicting whether the overall noise target of the machine is met based on measured or predicted data of each system; if the overall noise target of the machine is met, the modular design of noise control in the engineering machinery is completed. This invention can determine the relationship between the noise of each system and component and the overall noise of the machine, effectively propose noise control requirements for systems and components, and predict and control the overall noise of the machine.

Description

Technical Field

[0001] This invention belongs to the field of vibration reduction and noise reduction in engineering machinery, and specifically relates to a modular design method and system for noise reduction in engineering machinery. Background Technology

[0002] Current noise R&D models primarily focus on verifying the compliance of individual products, rather than being driven by noise demand. Data and models cannot penetrate the entire lifecycle management. The performance, consistency, and manufacturing process stability of key underlying system components constrain the overall noise performance of the machine. There is a lack of performance indicator requirements, reliable verification, and quality traceability for system components. There is also a lack of a closed-loop mechanism of "market feedback - root cause - design improvement - knowledge reuse." Improvements in overall noise performance rely on experience rather than data. There is a lack of structured classification and correlation analysis. Data on underlying system components is insufficient. Design experience and fault solutions have not been standardized into a knowledge base, making it impossible to achieve iterative upgrades of technical capabilities.

[0003] The main noise sources of engineering vehicles include engine noise, transmission system noise, hydraulic system noise, and cooling fan noise. Currently, noise performance development work, which should have been carried out during the product design and prototyping stages, is relegated to the noise problem improvement stage of mass production products. This significantly increases the iterative improvement cycle for noise issues and makes it difficult to meet the demands of rapid market response and customization. At present, during the product design stage, the relationship between the noise of individual system components and the overall machine noise cannot be determined, making it impossible to effectively propose noise control requirements for system components and predict and control the overall machine noise. To adapt to the different noise performance requirements of various market customers for engineering machinery products, modular design of overall machine noise for engineering vehicles has become a very urgent issue. Summary of the Invention

[0004] To address the aforementioned problems, this invention proposes a modular design method and system for engineering machinery noise, which can determine the relationship between the noise of each system component and the overall machine noise, effectively propose noise control requirements for system components, and predict and control the overall machine noise.

[0005] To achieve the above-mentioned technical objectives and effects, the present invention is implemented through the following technical solution:

[0006] In a first aspect, the present invention provides a modular design method for noise control in engineering machinery, comprising:

[0007] Based on the received noise requirements, the noise target of the entire machine is determined;

[0008] The noise target of the whole machine is decomposed into the noise targets of each system that generates noise in the whole machine, and the noise targets of each system are obtained.

[0009] The noise target of each system is decomposed into the noise-generating components of the system to obtain the noise target of each component.

[0010] Based on the measured data of each component, verify whether the noise target of each component is met;

[0011] If the noise targets of each component are met, then based on the measured data of each system, verify whether the noise targets of each system are met; or based on the measured data of each component, predict whether the noise targets of each system are met.

[0012] If the noise targets of each system are met, then the noise targets of the whole machine are verified based on the measured data of the whole machine, or the noise targets of the whole machine are predicted based on the measured data or predicted data of each system.

[0013] If the noise target of the whole machine is met, the modular design of noise control for engineering machinery is completed.

[0014] Secondly, the present invention provides a modular design system for engineering machinery noise, including the modular design method for engineering machinery noise as described in any one of the first aspects.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0016] This invention divides engineering machinery into three-level modules: complete machine, system, and components. This allows changes to the complete machine or system to be made to only a few modules, thereby improving design change efficiency, production efficiency, module versatility, reducing repeated investment in molds, lowering production costs, and enabling modular combinations according to different configuration requirements.

[0017] This invention can predict and control the noise of the entire machine, establish the relationship between the noise of each system component and the noise of the entire machine, and effectively propose noise control requirements for system components.

[0018] This invention enables product development to be conducted without relying entirely on physical prototypes for testing, thus avoiding the need for testing, rectification, and retesting after the prototype is off the production line and saving product development costs; it also allows for faster and more accurate results of overall machine noise by relying on data calculation methods rather than simulation. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly described below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort, wherein:

[0020] Figure 1This is a flowchart illustrating a modular design method for engineering machinery noise according to an embodiment of the present invention.

[0021] Figure 2 This is a schematic diagram of noise target division for engineering machinery according to an embodiment of the present invention;

[0022] Figure 3 This is a schematic diagram showing the modular division of the loader. Detailed Implementation

[0023] 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 a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0024] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0025] Example 1

[0026] This invention provides a modular design method for noise control in engineering machinery, comprising the following steps:

[0027] (1) Based on the received noise requirements, determine the noise target of the whole machine;

[0028] (2) Decompose the noise target of the whole machine into the noise-generating systems in the whole machine to obtain the noise target of each system;

[0029] (3) Decompose the noise target of each system into the noise-generating components in the system to obtain the noise target of each component;

[0030] (4) Based on the measured data of each component, verify whether the noise target of each component is met;

[0031] (5) If the noise targets of each component are met, then based on the measured data of each system, verify whether the noise targets of each system are met; or based on the measured data of each component, predict whether the noise targets of each system are met.

[0032] (6) If the noise target of each system is met, then verify whether the noise target of the whole machine is met based on the measured data of the whole machine, or predict whether the noise target of the whole machine is met based on the measured data or prediction data of each system.

[0033] (7) If the noise target of the whole machine is met, the modular design of noise of engineering machinery is completed.

[0034] In one specific embodiment of the present invention, if the noise target of a certain component is not met, the component is improved until the noise target of the component is verified to be met based on the measured data of the component.

[0035] If the noise target of a certain system is not met, the system shall be improved until the noise target of the system is verified to be met based on the measured data of the system, or until the noise target of each system is predicted to be met based on the measured data of each component.

[0036] If the noise target of the whole machine is not met, the process is repeated to decompose the noise target of the whole machine into the noise-generating systems in the whole machine, and obtain the noise target of each system; then the noise target of each system is decomposed into the noise-generating components in that system, and obtain the noise target of each component.

[0037] In one specific embodiment of the present invention, the method for determining the noise target of each system includes:

[0038] An experience-based proportional allocation method is used to decompose the noise target of the whole machine into the noise-generating systems in the whole machine, and obtain the noise target of each system.

[0039] The noise targets for each system are obtained using the following formulas:

[0040] ,

[0041] ,

[0042] In the formula, Representation system Noise performance requirements across the entire frequency band, Representation system Noise performance requirements within 1 / 3 octave band of center frequency f. Representation system Sound power level across the entire frequency band Indicates the hood's effect on the system The amount of sound insulation or correction across the entire frequency band. Indicates the percentage of contribution. This indicates the noise performance requirements of the entire device across the entire frequency band. Representation system The sound power level within the 1 / 3 octave band of the center frequency f. Indicates the hood's effect on the system Sound insulation or correction within 1 / 3 octave band of center frequency f. This indicates the noise performance requirements of the entire machine within one-third octave band of the center frequency f. Representation system The area of ​​a sphere with radius, Represents the reference surface area; wherein, the noise performance requirements of the entire device across the entire frequency band are... The noise performance requirements of the entire machine within 1 / 3 octave band of the center frequency f. Together they constitute the noise target of the entire machine;

[0043] Alternatively, a contribution-based allocation method can be used to decompose the noise target of the whole machine into the noise targets of each system that generates noise in the whole machine, thereby obtaining the noise targets of each system. The contribution-based allocation method refers to: through testing or simulation, analyzing the actual contribution of each system to the noise target of the whole machine under the current state, and then allocating the noise target of the whole machine according to the actual contribution.

[0044] Alternatively, an allocation method based on systems engineering and simulation models can be adopted to decompose the noise target of the whole machine into the noise-generating systems in the whole machine, and obtain the noise target of each system. The allocation method based on systems engineering and simulation models refers to: establishing an NVH simulation model of the whole machine, directly adjusting the system properties in the virtual environment, observing their impact on the noise target of the whole machine, and thus determining the range within which the properties of each system need to be controlled in order to achieve the noise target of the whole machine.

[0045] In one specific embodiment of the present invention, the method for determining the noise target of each component includes:

[0046] An experience-based proportional allocation method is used to decompose the noise target of the system into the noise-generating components of the system, thereby obtaining the noise target of each component.

[0047] The noise targets for each component are obtained using the following formula:

[0048] ,

[0049] ,

[0050] In the formula, Indicates components Noise performance requirements across the entire frequency band, Indicates components Noise performance requirements within 1 / 3 octave band of center frequency f. Indicates components Sound power level across the entire frequency band Indicates the hood's effect on components The amount of sound insulation or correction across the entire frequency band. Indicates the percentage of contribution. This indicates the system's noise performance requirements across the entire frequency band. , Indicates components The sound power level within the 1 / 3 octave band of the center frequency f. Indicates the hood's effect on components Sound insulation or correction within 1 / 3 octave band of center frequency f. This indicates the system noise performance requirements within a 1 / 3 octave band of the center frequency f. ; Indicates components The area of ​​a sphere with radius, Represents the reference surface area; wherein, the noise performance requirements of the system across the entire frequency band are... The system's noise performance requirements within a 1 / 3 octave band of center frequency f. Together they constitute the noise target of the system;

[0051] Alternatively, a contribution-based allocation method can be used to decompose the noise target of the system into the noise targets of each component that generates noise in the system, thereby obtaining the noise targets of each component. The contribution-based allocation method refers to: through testing or simulation, analyzing the actual contribution of each component to the noise target of the system under the current state, and then allocating the noise target of the system according to the contribution.

[0052] Alternatively, an allocation method based on systems engineering and simulation models can be used to decompose the noise target of the system into the noise-generating components of the system, thereby obtaining the noise target of each component. The allocation method based on systems engineering and simulation models refers to: establishing an NVH simulation model of the entire system, directly adjusting the properties of the components in the virtual environment, observing their impact on the noise target of the system, and thus determining the range within which the properties of each component need to be controlled in order to achieve the noise target of the system.

[0053] In one specific embodiment of the present invention, verifying whether the noise target of each component is met based on the measured data of each component includes:

[0054] Obtaining parts Measured sound power level across the entire frequency band, components Measured sound power level in the 1 / 3 octave band of center frequency f, and the effect of the hood on components. Measured values ​​of sound insulation or correction across the entire frequency band, and the effect of the enclosure on components. The measured value of sound insulation or correction within 1 / 3 octave band of center frequency f;

[0055] Based on the obtained measured values, determine the components Whether the noise target is met.

[0056] In one specific embodiment of the present invention, when improving a component, the object of the improvement includes: the component. Sound power level across the entire frequency band The hood affects the components Sound insulation or correction amount across the entire frequency band Components Sound power level in the 1 / 3 octave band of center frequency f The hood affects the components Sound insulation or correction within 1 / 3 octave band of center frequency f .

[0057] In one specific embodiment of the present invention, the step of predicting whether the noise target of each system is met based on the measured data of each component includes:

[0058] When only the components that generate noise in the system can be obtained Measured sound power level across the entire frequency band and the effect of the enclosure on components When the measured values ​​of sound insulation or correction are obtained across the entire frequency band, the predicted sound power level of the system across the entire frequency band is calculated using the following formula:

[0059] ,

[0060] In the formula, Representation system Predicted sound power level across the entire frequency band. Indicates components Measured sound power level across the entire frequency band. Indicates the hood's effect on components The measured value of sound insulation or correction across the entire frequency band; Representation system The total number of components that generate noise.

[0061] The following formula is used to calculate the energy contribution ratio of each component to the system noise across the entire frequency band:

[0062] ,

[0063] In the formula, Indicates components The energy contribution ratio of the target noise of the system across the entire frequency band. It can be applied to allocation methods based on contribution analysis;

[0064] Using simulation software to predict the impact of the machine cover on the system Predicted values ​​of sound insulation or correction across the entire frequency band;

[0065] Based on system Predicted sound power level and system across the entire frequency band The predicted value of sound insulation or correction across the entire frequency band is used to determine the system. Whether the noise target is met.

[0066] In one specific embodiment of the present invention, the step of predicting whether the noise target of each system is met based on the measured data of each component includes:

[0067] When only components of the system can be obtained Measured sound power level in the 1 / 3 octave band of center frequency f, and the effect of the hood on components. When the measured values ​​of the sound insulation or correction are obtained within a 1 / 3 octave band of the center frequency f, the predicted sound power level of the system within the 1 / 3 octave band of the center frequency f is calculated using the following formula:

[0068] ,

[0069] In the formula, Representation system Predicted sound power level in the 1 / 3 octave band at center frequency f. Indicates components Measured sound power level within a 1 / 3 octave band of center frequency f. Indicates the hood's effect on components The measured values ​​of sound insulation or correction within 1 / 3 octave band of center frequency f. Representation system The total number of components that generate noise;

[0070] The following formula is used to calculate the energy contribution ratio of each component to the system noise within a 1 / 3 octave band of the center frequency f:

[0071] ,

[0072] In the formula, Indicates components The energy contribution of the system noise within the 1 / 3 octave band of the center frequency f. It can be applied to allocation methods based on contribution analysis;

[0073] The system is calculated using the following formula. Predicted sound power level across the entire frequency band:

[0074] ,

[0075] In the formula, Representation system Predicted sound power level across the entire frequency band;

[0076] Using simulation software to predict the impact of the machine cover on the system Predicted values ​​of sound insulation or correction within a 1 / 3 octave band;

[0077] Based on system Predicted sound power level in the 1 / 3 octave band at center frequency f and the effect of the hood on the system The predicted value of sound insulation or correction within the 1 / 3 octave band is used to determine the system. Whether the noise target is met.

[0078] In one specific embodiment of the present invention, when improving the system, the object of the improvement includes: the system Sound power level across the entire frequency band The hood affects the system Sound insulation or correction amount across the entire frequency band ,system Sound power level in the 1 / 3 octave band of center frequency f The hood affects the system Sound insulation or correction within 1 / 3 octave band of center frequency f .

[0079] In one specific embodiment of the present invention, there is a predetermined mapping relationship between the noise requirement and the noise target of the whole machine.

[0080] In one specific embodiment of the present invention, the noise requirements include regulatory minimum, compliant survival level, market access level, comfortable and environmentally friendly level, and ultra-low noise level.

[0081] The following is combined Figures 1-2 The present invention provides a detailed description of the modular design method for engineering machinery noise in an embodiment of the present invention, and a specific implementation thereof.

[0082] The modular design method for noise control in engineering machinery includes:

[0083] S1: Module division.

[0084] The module division specifically aims to achieve high cohesion within modules and low coupling between modules. Engineering machinery is divided into three levels of modules: complete machine, system, and components. Each level has corresponding indicators, such as... Figure 2 As shown, the overall machine target is broken down into system indicators, which include indicators for the working device, transmission system, power system, and hydraulic system. These system indicators are further broken down into component indicators. Specifically, the working device indicators are further divided into impact working device indicators, fluid working device indicators, and vibration working device indicators; the transmission system indicators are further divided into gearbox indicators, drive shaft assembly indicators, drive axle indicators, reducer indicators, and transfer case indicators; the power system indicators are further divided into engine block indicators, cooling device indicators, suspension assembly indicators, exhaust device indicators, and intake device indicators; and the hydraulic system indicators are further divided into main pump indicators, steering pump indicators, main valve indicators, hydraulic cylinder indicators, and hydraulic pipeline assembly indicators.

[0085] Taking loaders as an example, such as Figure 3 As shown, the loader is divided into four modules: 1-working device, 2-power system, 3-hydraulic system, and 4-transmission system. The 1-working device is further divided into four modules: 11-rocker arm, 12-boom, 13-connecting rod, and 14-bucket. The 2-power system is divided into five modules: 21-engine body, 22-cooling device, 23-suspension assembly, 24-exhaust device, and 25-intake device. The 3-hydraulic system is divided into five modules: 31-main pump, 32-steering pump, 33-main valve, 34-hydraulic cylinder, and 35-hydraulic pipeline assembly. The 4-transmission system is divided into five modules: 41-gearbox, 42-drive shaft assembly, 43-rear drive axle, and 44-front drive axle.

[0086] S2: Set the target baseline for the entire machine.

[0087] The target baseline for overall machine noise must follow the progressive logic of "regulatory bottom line → market norm → comfort → ultimate quietness" and must be linked to the overall product positioning, divided into compliance survival level, market access level, comfort and environmental protection level, and ultra-low noise level.

[0088] Compliance Survival Level: Meets only mandatory national regulations and has basic market access qualifications, without guaranteeing any additional noise reduction performance. Suitable for economy products, price-sensitive markets, and regions with less stringent regulations. Noise targets are close to the upper limit of regulations, with no specific noise reduction design, and only type certification is required.

[0089] Market Access Grade: Meets noise access requirements for mainstream markets and most construction sites, offering excellent cost-effectiveness. Suitable for general working conditions, the rental market, and scenarios with routine environmental inspections. Noise targets are at least 3 dB(A) lower than regulatory limits. Basic noise reduction design and conventional noise reduction measures are implemented.

[0090] Comfort and Environmental Protection Grade: Significantly below regulatory limits, capable of urban or nighttime operation, suitable for nighttime construction in urban areas, residential areas, high-end brands, and scenarios with high operator health requirements. Noise target is more than 6 dB(A) lower than regulatory limits. Specialized noise reduction design and low-noise system components are used.

[0091] Ultra-low noise level: Representing the industry's top technical level, meeting the most stringent requirements for quiet construction areas, enabling near-silent operation. Suitable for extremely noise-sensitive locations, high-end export markets, etc., with noise targets at least 10 dB(A) lower than regulatory limits. Utilizing unconventional noise reduction design, employing a combination of active and passive noise reduction measures.

[0092] S3: Noise target decomposition of the whole machine.

[0093] The noise target of the whole machine can be decomposed into the system using any of the following three methods.

[0094] S3.1 The experience-based proportional allocation method estimates the contribution ratio of each system to the overall target based on the test data of benchmark vehicles or previous generation products when detailed data is lacking, and then allocates the data proportionally.

[0095] The following formula can be used to decompose the index so that the noise contribution of a certain system does not exceed the overall machine noise index. times.

[0096] ,

[0097] ,

[0098] in, This indicates the noise performance requirements of the system across the entire frequency band, expressed in decibels (dB). This indicates the noise performance requirements of the system within 1 / 3 octave band of the center frequency f, expressed in decibels (dB). Representation system Sound power level across the entire frequency band, measured in decibels (dB). Indicates the hood's effect on the system The amount of sound insulation or correction across the entire frequency band, measured in decibels (dB). The contribution percentage is expressed as a percentage (%). This indicates the noise performance requirements of the entire device across the entire frequency band, expressed in decibels (dB). Representation system The sound power level in the 1 / 3 octave band of the center frequency f, measured in decibels (dB). Indicates the hood's effect on the system The sound insulation or correction amount within 1 / 3 octave band of center frequency f, in decibels (dB). This indicates the noise performance requirement of the entire machine within 1 / 3 octave band of the center frequency f, expressed in dB.

[0099] S3.2 The allocation method based on contribution analysis analyzes the actual contribution of each system to the noise target of the whole machine under the current state through testing or simulation (such as acoustic simulation based on finite element FEM / boundary element BEM), and then allocates the noise according to the contribution.

[0100] 3) Based on the allocation method of systems engineering and simulation models, establish an NVH simulation model of the whole machine, and directly adjust system properties (such as stiffness, mass, and damping) in the virtual environment to observe their impact on the noise target of the whole machine (i.e., sensitivity analysis). This determines the range within which a certain system property needs to be controlled in order to achieve the noise target of the whole machine.

[0101] S4: Noise target decomposition of the system.

[0102] Decomposing the system's noise target into its components can be done using any of the three methods employed in decomposing the noise target of the entire machine. For example, when using an experience-based proportional allocation method, the formula would be modified as follows:

[0103] ,

[0104] ,

[0105] in, Indicates components Noise performance requirements across the entire frequency band, Indicates components Noise performance requirements within 1 / 3 octave band of center frequency f. Indicates components Sound power level across the entire frequency band, measured in decibels (dB). Indicates the hood's effect on components The amount of sound insulation or correction across the entire frequency band, measured in decibels (dB). This indicates the percentage of contribution, expressed as a percentage (%). This indicates the noise performance requirements of the system across the entire frequency band, expressed in decibels (dB). Indicates components The sound power level in the 1 / 3 octave band of the center frequency f, measured in decibels (dB). Indicates the hood's effect on components The sound insulation or correction amount within 1 / 3 octave band of center frequency f, in decibels (dB). This indicates the noise performance requirement of the system within 1 / 3 octave band of the center frequency f, expressed in dB.

[0106] S5: Verification and improvement of noise targets for components.

[0107] The sound power levels of each component were obtained through bench tests or supplier-provided methods. or the sound power level within 1 / 3 octave band The effect of the engine hood on components is obtained based on real vehicle testing or simulation calculations. Sound insulation or correction amount across the entire frequency band or the hood to the parts Sound insulation or correction within 1 / 3 octave band of center frequency f .verify , , , Check whether the system noise target decomposition to components in step S4 is met. If it is met, proceed to step S6; otherwise, the components need to be improved until the system index decomposition to components in step 4 (i.e., the target noise of the components) is met.

[0108] S6: Verification and improvement of the system's noise target.

[0109] If measured data of the system cannot be obtained, the noise target of each system is predicted based on the measured data of each component. Specifically, this is divided into the following two cases:

[0110] 1) When only the components that generate noise in the system can be obtained Measured sound power level across the entire frequency band and the effect of the enclosure on components When considering the measured values ​​of sound insulation or correction across the entire frequency band, a synthesis calculation method based on empirical formulas is proposed. The predicted sound power level of the system across the entire frequency band is calculated using the following formula.

[0111] Taking the power system as an example, the sound power level of the power system It can be calculated using the following formula:

[0112] ,

[0113] In the formula:

[0114] This indicates the sound power level of the power system across the entire frequency band, measured in decibels (dB).

[0115] This indicates the sound power level of the engine body across the entire frequency band, measured in decibels (dB).

[0116] This indicates the sound insulation of the engine hood to the engine body across the entire frequency band, measured in decibels (dB).

[0117] This indicates the sound power level of the cooling device across the entire frequency band, measured in decibels (dB).

[0118] This indicates the sound insulation of the cooling device by the shroud across the entire frequency band, measured in decibels (dB).

[0119] This indicates the acoustic power level of the suspension assembly across the entire frequency band, measured in decibels (dB).

[0120] This indicates the sound insulation of the hood to the mounting assembly across the entire frequency band, measured in decibels (dB).

[0121] This indicates the sound power level of the exhaust device across the entire frequency band, measured in decibels (dB).

[0122] This indicates the correction amount of the exhaust device across the entire frequency band, measured in decibels (dB).

[0123] This indicates the sound power level of the air intake device across the entire frequency band, measured in decibels (dB).

[0124] This indicates the correction amount of the air intake device across the entire frequency band, measured in decibels (dB).

[0125] The energy contribution of each component to the noise of the power system across the entire frequency band is proportional to the energy contribution of each component to the noise of the power system. The specific calculation formula is as follows:

[0126] ,

[0127] In the formula:

[0128] This indicates the energy contribution ratio, expressed in % (%).

[0129] This represents the sound power level of the system noise across the entire frequency band, measured in decibels (dB).

[0130] The sound power level of component j is expressed in decibels (dB) across the entire frequency band. Components in the power system include the engine block, cooling system, suspension assembly, exhaust system, and intake system.

[0131] Indicates the hood's effect on components The sound insulation amount or the correction amount of a sound source within the entire frequency band, measured in decibels (dB).

[0132] 2) When only components of the system can be obtained Measured sound power level in the 1 / 3 octave band of center frequency f, and the effect of the hood on components. When the measured values ​​of sound insulation or correction are obtained within the 1 / 3 octave band of the center frequency f, a one-dimensional calculation method based on spectral data is proposed. The predicted value of the sound power level of the system within the 1 / 3 octave band of the center frequency f is calculated using the following formula.

[0133] Taking a power system as an example, the predicted sound power level of the power system within a 1 / 3 octave band at the center frequency f is calculated using the following formula:

[0134] ,

[0135] In the formula:

[0136] This represents the predicted sound power level of the dynamic system within a 1 / 3 octave band at the center frequency f, expressed in decibels (dB).

[0137] This represents the sound power level of the power system within 1 / 3 octave band at center frequency f, measured in decibels (dB).

[0138] This indicates the sound power level of the engine body within 1 / 3 octave band at center frequency f, expressed in decibels (dB).

[0139] This indicates the sound insulation of the engine hood relative to the engine body within a 1 / 3 octave band at the center frequency f, expressed in decibels (dB).

[0140] This indicates the sound power level of the cooling device within 1 / 3 octave band of center frequency f, expressed in decibels (dB).

[0141] This indicates the sound insulation of the shroud to the cooling device within a 1 / 3 octave band of the center frequency f, expressed in decibels (dB).

[0142] This indicates the sound power level of the suspension assembly within 1 / 3 octave band at center frequency f, expressed in decibels (dB).

[0143] This indicates the sound insulation of the hood to the suspension assembly within 1 / 3 octave band at the center frequency f, expressed in decibels (dB).

[0144] This indicates the sound power level of the exhaust device within 1 / 3 octave band at center frequency f, measured in decibels (dB).

[0145] This indicates the correction amount of the exhaust device within 1 / 3 octave band of center frequency f, expressed in decibels (dB).

[0146] This indicates the sound power level of the air intake device within 1 / 3 octave band at center frequency f, expressed in decibels (dB).

[0147] This indicates the correction amount of the air intake device within 1 / 3 octave band of the center frequency f, expressed in decibels (dB).

[0148] The area of ​​the sphere representing the radius of the dynamic system, expressed in square meters (m²). 2 );

[0149] The reference surface area is 1m². 2 .

[0150] The energy contribution of each component to the noise of the power system within 1 / 3 octave band of the center frequency f is as follows: Calculate using the following formula: ,

[0151] In the formula:

[0152] Indicates components The energy contribution of noise to the power system within a 1 / 3 octave band of center frequency f, expressed in % (%).

[0153] This represents the predicted sound power level of the dynamic system within a 1 / 3 octave band at the center frequency f, expressed in decibels (dB).

[0154] For parts The measured sound power level in the 1 / 3 octave band of the center frequency f, expressed in decibels (dB).

[0155] For the machine cover and parts The measured value of sound insulation or correction within 1 / 3 octave band of center frequency f, in decibels (dB);

[0156] The predicted sound power level of the dynamic system across the entire frequency band is calculated using the following formula:

[0157] ,

[0158] In the formula:

[0159] This represents the predicted sound power level of the dynamic system across the entire frequency band, expressed in decibels (dB).

[0160] If the measured data of the system can be obtained directly, then based on the measured data of each system, verify whether the noise target of each system is met; specifically, this includes obtaining the sound source characteristics of each system based on bench tests or provided by the supplier. or The transfer function from the sound source to the system noise response point is obtained based on real vehicle testing or simulation calculation. or .verify , , , Check whether the system meets the requirements of step 3, which decomposes the overall machine target into the system. If it does, proceed to step 7; otherwise, the system needs to be improved until the requirements of step 3, which decomposes the overall machine target noise into the system, are met.

[0161] Verification and improvement of noise targets for the S7 system.

[0162] If the actual measurement data of the whole machine can be obtained directly, then the noise target of the whole machine is verified based on the actual measurement data of the whole machine.

[0163] If the actual measurement data of the whole machine cannot be obtained, the noise target of the whole machine can be predicted based on the actual measurement data or prediction data of each system. This can also be divided into the above two situations, and the noise of the whole machine can be predicted by referring to the formula in the system prediction.

[0164] Verify whether the overall noise level meets the target requirements by analyzing the entire machine. If the overall noise level meets the target, it is unnecessary to further decompose the overall noise target into the noise targets of each noise-generating system within the machine, and then into the noise targets of each noise-generating component within that system. If the target is not met, the index decomposition should be repeated, following steps 3-6. The overall noise target should be re-decomposed with the goal of meeting the overall noise target, constrained by the immutable sound power level and the sound insulation or correction amount of the enclosure on the system / components, and varied by the sound power level and the sound insulation or correction amount of the enclosure on the system / components.

[0165] Example 2

[0166] This invention provides a modular design system for noise control in engineering machinery, including a storage medium and a processor;

[0167] The storage medium is used to store instructions;

[0168] The processor is configured to operate according to the instructions to execute the modular design method for engineering machinery noise according to any one of Embodiments 1.

[0169] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0170] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0171] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0172] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0173] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

[0174] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A modular design method for noise control in engineering machinery, characterized in that, include: Based on the received noise requirements, the noise target of the entire machine is determined; The noise target of the whole machine is decomposed into the noise targets of each system that generates noise in the whole machine, and the noise targets of each system are obtained. The noise target of each system is decomposed into the noise-generating components of the system to obtain the noise target of each component. Based on the measured data of each component, verify whether the noise target of each component is met; If the noise targets of each component are met, then based on the measured data of each system, verify whether the noise targets of each system are met; or based on the measured data of each component, predict whether the noise targets of each system are met. If the noise targets of each system are met, then the noise targets of the whole machine are verified based on the measured data of the whole machine, or the noise targets of the whole machine are predicted based on the measured data or predicted data of each system. If the noise target of the whole machine is met, the modular design of noise control for engineering machinery is completed.

2. The modular design method for engineering machinery noise according to claim 1, characterized in that: If the noise target of a certain component is not met, the component will be improved until the noise target of the component is verified to be met based on the measured data of the component. If the noise target of a system is not met, the system shall be improved until the noise target of the system is verified to be met based on the measured data of the system, or until the noise target of the system is predicted to be met based on the measured data of each component. If the noise target of the whole machine is not met, the process of decomposing the noise target of the whole machine into the noise-generating systems in the whole machine is repeated to obtain the noise target of each system. The noise target of each system is decomposed into the noise-generating components of the system to obtain the noise target of each component.

3. The modular design method for noise control in engineering machinery according to claim 2, characterized in that: The methods for determining the noise target for each system include: An experience-based proportional allocation method is used to decompose the noise target of the whole machine into the noise-generating systems in the whole machine, and obtain the noise target of each system. The noise targets for each system are obtained using the following formulas: ， ， In the formula, system representation Noise performance requirements across the entire frequency band, system representation Noise performance requirements within 1 / 3 octave band of center frequency f. system representation Sound power level across the entire frequency band Indicates the hood's effect on the system The amount of sound insulation or correction across the entire frequency band. Indicates the percentage of contribution. This indicates the noise performance requirements of the entire device across the entire frequency band. system representation The sound power level within the 1 / 3 octave band of the center frequency f. Indicates the hood's effect on the system Sound insulation or correction within 1 / 3 octave band of center frequency f. This indicates the noise performance requirements of the entire machine within one-third octave band of the center frequency f. system representation The area of ​​a sphere with radius, Represents the reference surface area; wherein, the noise performance requirements of the entire device across the entire frequency band are... The noise performance requirements of the entire machine within 1 / 3 octave band of the center frequency f. Together they constitute the noise target of the entire machine; Alternatively, a contribution-based allocation method can be used to decompose the noise target of the whole machine into the noise targets of each system that generates noise in the whole machine, thereby obtaining the noise targets of each system. The contribution-based allocation method refers to: through testing or simulation, analyzing the actual contribution of each system to the noise target of the whole machine under the current state, and then allocating the noise target of the whole machine according to the actual contribution. Alternatively, an allocation method based on systems engineering and simulation models can be adopted to decompose the noise target of the whole machine into the noise-generating systems in the whole machine, and obtain the noise target of each system. The allocation method based on systems engineering and simulation models refers to: establishing an NVH simulation model of the whole machine, directly adjusting the system properties in the virtual environment, observing their impact on the noise target of the whole machine, and thus determining the range within which the properties of each system need to be controlled in order to achieve the noise target of the whole machine.

4. The modular design method for noise control in engineering machinery according to claim 3, characterized in that: The methods for determining the noise targets for each component include: An experience-based proportional allocation method is used to decompose the noise target of the system into the noise-generating components of the system, thereby obtaining the noise target of each component. The noise targets for each component are obtained using the following formula: ， ， In the formula, Indicates components Noise performance requirements across the entire frequency band, Indicates components Noise performance requirements within 1 / 3 octave band of center frequency f. Indicates components Sound power level across the entire frequency band Indicates the hood's effect on components The amount of sound insulation or correction across the entire frequency band. Indicates the percentage of contribution. This indicates the system's noise performance requirements across the entire frequency band. Indicates components The sound power level within the 1 / 3 octave band of the center frequency f. Indicates the hood's effect on components Sound insulation or correction within 1 / 3 octave band of center frequency f. This indicates the noise performance requirements of the system within a 1 / 3 octave band of the center frequency f. ; Indicates components The area of ​​a sphere with radius, Represents the reference surface area; wherein, the noise performance requirements of the system across the entire frequency band are... The system's noise performance requirements within a 1 / 3 octave band of center frequency f. Together they constitute the noise target of the system; Alternatively, a contribution-based allocation method can be used to decompose the noise target of the system into the noise targets of each component that generates noise in the system, thereby obtaining the noise targets of each component. The contribution-based allocation method refers to: through testing or simulation, analyzing the actual contribution of each component to the noise target of the system under the current state, and then allocating the noise target of the system according to the contribution. Alternatively, an allocation method based on systems engineering and simulation models can be used to decompose the noise target of the system into the noise-generating components of the system, thereby obtaining the noise target of each component. The allocation method based on systems engineering and simulation models refers to: establishing an NVH simulation model of the entire system, directly adjusting the properties of the components in the virtual environment, observing their impact on the noise target of the system, and thus determining the range within which the properties of each component need to be controlled in order to achieve the noise target of the system.

5. The modular design method for engineering machinery noise according to claim 4, characterized in that: The verification of whether the noise targets for each component are met, based on the measured data of each component, includes: Obtaining parts Measured sound power level across the entire frequency band, components Measured sound power level in the 1 / 3 octave band of center frequency f, and the effect of the hood on components. Measured values ​​of sound insulation or correction across the entire frequency band, and the effect of the enclosure on components. The measured value of sound insulation or correction within 1 / 3 octave band of center frequency f; Based on the obtained measured values, determine the components Whether the noise target is met.

6. The modular design method for noise control in engineering machinery according to claim 4, characterized in that: When improving components, the objects of improvement include: components Sound power level across the entire frequency band The hood affects the components Sound insulation or correction amount across the entire frequency band Components Sound power level in the 1 / 3 octave band of center frequency f The hood affects the components Sound insulation or correction within a 1 / 3 octave band of center frequency f. .

7. The modular design method for noise control in engineering machinery according to claim 3, characterized in that: The prediction of whether the noise target of each system is met based on the measured data of each component includes: When only the components that generate noise in the system can be obtained Measured sound power level across the entire frequency band and the effect of the enclosure on components When the measured values ​​of the sound insulation or correction amount are used throughout the entire frequency band, the predicted value of the sound power level of the system throughout the entire frequency band is calculated using the following formula: ， In the formula, system representation Predicted sound power level across the entire frequency band. Indicates components Measured sound power level across the entire frequency band. Indicates the hood's effect on components The measured value of sound insulation or correction across the entire frequency band; system representation The total number of components that generate noise; The following formula is used to calculate the energy contribution ratio of each component to the system noise across the entire frequency band: ， In the formula, Indicates components The energy contribution ratio of the target noise of the system across the entire frequency band; Using simulation software to predict the impact of the machine cover on the system Predicted values ​​of sound insulation or correction across the entire frequency band; Based on system Predicted sound power level and system across the entire frequency band The predicted value of sound insulation or correction across the entire frequency band is used to determine the system. Whether the noise target is met.

8. The modular design method for noise control in engineering machinery according to claim 3, characterized in that: The prediction of whether the noise target of each system is met based on the measured data of each component includes: When only components of the system can be obtained Measured sound power level in the 1 / 3 octave band of center frequency f, and the effect of the hood on components. When the measured values ​​of the sound insulation or correction are obtained within a 1 / 3 octave band of the center frequency f, the predicted sound power level of the system within the 1 / 3 octave band of the center frequency f is calculated using the following formula: ， In the formula, system representation Predicted sound power level in the 1 / 3 octave band at center frequency f Indicates components Measured sound power level within a 1 / 3 octave band of center frequency f. Indicates the hood's effect on components The measured values ​​of sound insulation or correction within 1 / 3 octave band of center frequency f. system representation The total number of components that generate noise; The following formula is used to calculate the energy contribution ratio of each component to the system noise within a 1 / 3 octave band of the center frequency f: ， In the formula, Indicates components The energy contribution of the system noise within 1 / 3 octave band of center frequency f; The system is calculated using the following formula. Predicted sound power level across the entire frequency band: ， In the formula, system representation Predicted sound power level across the entire frequency band. system representation Predicted sound power level in the 1 / 3 octave band at center frequency f; Using simulation software to predict the impact of the machine cover on the system Predicted values ​​of sound insulation or correction within a 1 / 3 octave band; Based on system Predicted sound power level in the 1 / 3 octave band at center frequency f and the effect of the hood on the system The predicted value of sound insulation or correction within the 1 / 3 octave band is used to determine the system. Whether the noise target is met.

9. A modular design method for engineering machinery noise according to claim 3, characterized in that: When making system improvements, the objects of improvement include: the system Sound power level across the entire frequency band The hood affects the system Sound insulation or correction amount across the entire frequency band ,system Sound power level in the 1 / 3 octave band of center frequency f The hood affects the system Sound insulation or correction within a 1 / 3 octave band of center frequency f. .

10. A modular design method for engineering machinery noise according to claim 1, characterized in that: There is a predetermined mapping relationship between the noise requirements and the overall noise target of the machine.

11. The modular design method for engineering machinery noise according to claim 1, characterized in that: The noise requirements include regulatory minimums, compliant survival level, market access level, comfortable and environmentally friendly level, and ultra-low noise level.

12. A modular design system for noise control in engineering machinery, characterized in that, Including storage media and processor; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the modular design method for engineering machinery noise according to any one of claims 1-11.

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