Indoor sound field prediction method and prediction terminal

Abstract

The present invention proposes an indoor sound field prediction method and a prediction terminal. The acoustic pulse function of the designated space is calculated by combining spatial information of the designated space such as room size and indoor facility placement. After determining the placement position of an electronic device in the designated space, the noise distribution of the electronic device in the designated space is calculated according to the acoustic pulse function and noise characteristics of the designated space. This allows users to know in advance the noise distribution of the electronic device in the user's designated space when purchasing the electronic device, and assists in judging whether the noise generated by the electronic device in the user's room is acceptable, thereby avoiding the situation where the noise perception experience is poor after the electronic device is purchased based on the nominal noise data alone, and having the effect of improving user purchase satisfaction.

Description

Technical Field

[0001] The present invention relates to the field of acoustic technology, and in particular to an indoor sound field prediction method and a prediction terminal. Background Art

[0002] The noise of electronic equipment has an important impact on the indoor sound field and is the main source of indoor noise, such as washing machines, refrigerators, air conditioners, range hoods, purifiers and other products.

[0003] When people buy electronic devices, they usually pay attention to the nominal noise data of the electronic devices. The noise data is generally the sound pressure level data, which comes from the test of the anechoic laboratory. However, the anechoic room belongs to the free sound field, such as Figure 1 As shown in the figure, there is only direct sound, no reflected sound and transmitted sound, while the user's room belongs to a diffuse sound field, such as Figure 2 As shown in the figure, it includes direct sound, reflected sound and transmitted sound; this causes the noise characteristics (including sound pressure level, frequency characteristics, directivity, etc.) of electronic equipment when used in the user's room to be different from those in the anechoic room, such as Figure 3 According to relevant test results, the noise sound pressure level of general electronic equipment in the user's room is higher than that in the anechoic room. Therefore, the nominal noise data of electronic equipment cannot ideally represent the noise characteristics of electronic equipment in the user's indoor use environment.

[0004] On the other hand, different users have different indoor house types, decoration features and furniture placements, so the reflection, scattering and absorption characteristics of the sound waves emitted by electronic devices are also different. This results in different noise characteristics in different users' homes even for the same model of equipment, causing each user to have different hearing perceptions of the same model of equipment. If users purchase electronic equipment based solely on the nominal noise data, they may experience poor noise perception. Summary of the invention

[0005] The present invention aims to solve the problem that the existing electronic devices generate different noise characteristics in different user rooms, and provides users with a prediction method for obtaining the sound field distribution of the electronic devices in a specified space. The noise characteristics of the electronic devices in the specified space are represented to the users through the prediction terminal, so that the users can experience the noise perception of the electronic devices in the specified space in advance when purchasing the electronic devices, and avoid the situation where the noise perception is poor after the electronic devices are purchased based on the nominal noise data only, thereby improving the purchase satisfaction of the users.

[0006] The present invention adopts the following technical solution:

[0007] A method for predicting an indoor sound field is proposed, comprising: calculating an acoustic pulse function of the designated space based on spatial information of the designated space; obtaining noise characteristics of an electronic device tested under anechoic chamber conditions; obtaining placement information of the electronic device in the designated space, and calculating the noise distribution of the electronic device in the designated space based on the acoustic pulse function and the noise characteristics.

[0008] An indoor sound field prediction terminal is proposed, comprising:

[0009] An input unit, used to input space information of a designated space into the indoor sound field prediction terminal;

[0010] an acoustic pulse function calculation unit, configured to calculate the acoustic pulse function of the designated space based on the spatial information of the designated space;

[0011] A noise characteristic acquisition unit, used to acquire noise characteristics of electronic equipment tested under anechoic chamber conditions;

[0012] The sound field prediction unit is used to obtain the placement position information of the electronic device in the specified space, and calculate the noise distribution of the electronic device in the specified space based on the acoustic pulse function and the noise characteristics.

[0013] Compared with the prior art, the present invention has the following technical effects: the indoor sound field prediction method and prediction terminal proposed in the present invention, combined with spatial information of the designated space such as room size, indoor facility placement, etc., calculate the acoustic pulse function of the designated space, and after determining the placement position of the electronic device in the designated space, calculate the noise distribution of the electronic device in the designated space according to the acoustic pulse function and noise characteristics of the designated space, so that when purchasing the electronic device, the user can know in advance the noise distribution of the electronic device in the user's designated space, and assist in judging whether the noise generated by the electronic device in the user's room is acceptable, so as to avoid the situation where the noise perception experience is poor after the electronic device is purchased based on the nominal noise data alone, and has the effect of improving the user's purchase satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0015] Figure 1 This is a diagram illustrating that the anechoic chamber belongs to the free sound field;

[0016] Figure 2 This is a diagram illustrating the diffuse sound field in the user's room;

[0017] Figure 3 It is a comparison of the noise energy of the same electronic equipment in the anechoic chamber and the user's room at different frequencies;

[0018] Figure 4 A flow chart of the indoor sound field prediction method proposed by the present invention;

[0019] Figure 5 This is a flow chart of the indoor sound field prediction method provided in the first embodiment of the present invention;

[0020] Figure 6 This is a schematic diagram of the composition of an indoor sound field prediction terminal provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] In the description of the present invention, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0023] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0024] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0025] The present invention aims to address the problem that existing electronic devices generate different noise characteristics in different user rooms, and to provide users with a prediction method for obtaining the sound field distribution of electronic devices in the user-set space. The noise characteristics of the electronic device when used in the user-set space are represented to the user through a prediction terminal, so that the user can experience the noise perception of the electronic device when using the electronic device in the user-set space in advance when purchasing the electronic device, thereby avoiding the situation where the noise perception is poor after purchasing the electronic device based on the nominal noise data alone, and having the effect of improving the user's purchase satisfaction.

[0026] Specifically, Figure 4 As shown, the present invention proposes a method for predicting indoor sound field, comprising:

[0027] Step S1: The user uses the input unit of the prediction terminal to set the space information of the designated space.

[0028] Taking the prediction terminal as an intelligent terminal such as a mobile phone, PAD, computer, etc., a sound field prediction APP is installed on it to provide an input interface. The user uses input devices such as a touch screen and keyboard to input the spatial information of the specified space to the prediction terminal.

[0029] The designated space is an indoor space exclusive to the user. The setting interface can provide drawing tools, allowing the user to draw the shape, layout, size and other spatial information of the designated space based on the input unit, or to implement the transformation of the layout, shape, size and other spatial information based on the space template launched by the system.

[0030] Step S2: Calculate the acoustic impulse function of the designated space based on the spatial information of the designated space.

[0031] After the user virtualizes the shape, size, layout and other spatial information of the designated space online, the prediction terminal calculates the acoustic pulse function of the electronic device in the designated space based on the spatial information.

[0032] The acoustic impulse function characterizes the acoustic impulse response, which contains the result of multipath propagation of sound from the excitation sound source location (that is, the placement location of the electronic device) to the test point location, such as Figure 2Path 1 shown in the figure is the direct sound of the sound source, path 2 is the first-order reflected sound, path 3 is the second-order reflected sound, etc. (higher-order reflected sound is not shown in the figure); the acoustic impulse response is the result of the propagation of the exciting sound source and the boundary of the room. The sound propagated from the shortest path (the straight-line distance from the sound source to the test point) arrives first and the sound pressure should be the largest. The reflected sound propagates through multiple other paths, and energy is lost in the process due to air absorption and interface absorption. Therefore, the reflected sound that arrives later will become weaker and weaker. In theory, the process of gradual weakening of reflected sound is permanent, but in practice, the reflection situation is only within a few seconds. In the time domain diagram of the impulse response, the direct sound and some of the earliest reflected sounds are easier to identify. The reflected sounds continue to arrive in sequence, the sound becomes smaller and smaller, and the arrival time becomes closer and closer, gradually forming an exponential attenuation; different rooms cannot have the same impulse response, but the acoustic impulse response has some common components, including the arrival of direct sound, early reflected sound, reverberation establishment and attenuation, background noise, etc.

[0033] The acoustic pulse function contains spatial coordinates and time information. By performing convolution and other calculations on the noise generated by the electronic device with the acoustic pulse function of the space in which it is placed, the noise restoration at any point in the space can be obtained.

[0034] In some implementations of the present application, a noise frequency cutoff point is set. For noise greater than the noise frequency cutoff point, the acoustic pulse function of the specified space is calculated using the sound ray tracking method. For noise less than or equal to the noise frequency cutoff point, the acoustic pulse function of the specified space is calculated using the modal expansion method.

[0035] Taking the noise frequency cutoff point of 400HZ as an example, for noise within 400HZ, the modal expansion method is used to solve the sound field in the specified space:

[0036] 1. Using the sound pressure P in the specified space, use the modal expansion to obtain the amplitudes of each mode in the specified space.

[0037] The sound pressure P of different designated spaces is different. In the embodiment of the present application, the sound pressure P of the designated space is calculated by reading a table, calculating based on a standard formula, etc., for the spatial information of the designated space set by the user, and then the sound pressure P is used to solve the sound pressure value P at other positions in the designated space through modal expansion. n .

[0038] 2. Adoption Obtain the nth-order mode sound pressure at the specified space r.

[0039] The sound field in the room can be expressed by the rigid wall characteristic function of the rectangular closed space The linear combination approximation is: (n x , ny , n z ) is the mode ordinal number of the nth mode; (l x , l y , l z ) is the specified space size, (x, y, z) is the spatial coordinates of any point in the specified space. Then the sound pressure in the space can be expanded as:

[0040] Here, the indoor sound field distribution is achieved by canceling the time quantity in the acoustic pulse function and only using the spatial information.

[0041] For noise above 400HZ, the sound ray tracing method is used to solve the sound field in the specified space:

[0042] use Calculate the sound pressure level at the specified space i.

[0043] in, n is the number of sound lines, s(x,y,z) is the initial propagation path when the sound source is emitted; ∑I n (x, y, z) is the incoherent superposition sum of the energy of the sound line passing through the specified space i, ρ0 is the air density, c0 is the sound propagation speed in the air, and (x, y, z) is the spatial coordinate.

[0044] Step S3: Acquire the noise characteristics of the electronic device tested under anechoic chamber conditions.

[0045] In advance, electronic equipment is tested before leaving the factory in an anechoic chamber to obtain its noise characteristics, such as power spectrum, sound power, sound pressure level, etc.

[0046] Step S4: Obtain placement information of the electronic device in the designated space, and calculate the noise distribution of the electronic device in the designated space based on the acoustic pulse function and noise characteristics.

[0047] The user uses the prediction terminal to set the placement position of the electronic device in the specified space on the input interface, and uses the placement position as the sound source. The acoustic pulse function obtained in step S2 and the noise characteristics under the anechoic chamber conditions are convolved to obtain the noise characteristics at each point in the specified space.

[0048] Based on the above steps, users can learn in advance about the noise distribution of electronic devices in a specified space on the prediction terminal, which helps users determine whether the noise generated by the electronic device in the specified space is acceptable, thereby avoiding the situation where the noise experience is poor after purchasing the electronic device based only on the nominal noise data, thereby improving user satisfaction with the purchase.

[0049] The indoor sound field prediction method proposed by the present invention is described in detail with reference to several specific embodiments below.

[0050] Embodiment 1

[0051] In order to improve users' understanding of the noise generated by electronic devices in their rooms, based on the above steps S1 to S4, this embodiment provides users with a visual and auditory method so that users can intuitively feel the noise distribution, noise intensity, etc. of electronic devices in a specified space.

[0052] like Figure 5 As shown, after step S4, step S5 is performed: a noise cloud map is drawn according to the noise distribution and displayed.

[0053] According to the noise distribution, a sound field cloud map is generated in the specified space, including sound pressure level, sound pressure, frequency characteristics, etc., to realize the visualization of the sound field, so that users can know at a glance the noise situation of electronic equipment in its specified space. The sound field intensity can be represented by different densities or different colors.

[0054] Step S6: Determine the noise restoration position of the designated space.

[0055] The user can use the prediction terminal to select the placement position of the electronic device in the specified space on the input interface. For example, in the drawn specified space model, the user clicks on the placement position of the electronic device, and the click coordinates are recorded and applied by the system as the placement position.

[0056] Step S7: Convolve the acoustic impulse function with the noise audio at different frequencies to obtain noise-restored audio.

[0057] The noise audio of electronic devices can be recorded and stored locally or in the cloud before the electronic devices leave the factory. When the prediction terminal starts the sound field prediction function, the prediction terminal can obtain its noise audio from the local or cloud.

[0058] In order to achieve audibility, in this embodiment, the sound wave energy distribution characteristics at different frequencies are calculated. For example, taking 1 / 3 octave as the frequency density, the acoustic pulse function of the sound field in the specified space is calculated through step S2 to obtain noise distribution data with frequency characteristics.

[0059] The acoustic pulse function contains spatial coordinates and time information. In this implementation, the time information is hidden, and the original noise audio of the electronic device is convolved with the acoustic pulse function using the spatial coordinate data to obtain the noise-restored audio at the placement location. By playing the noise-restored audio, the user can experience the noise conditions of the electronic device when it is placed in a specified space.

[0060] Embodiment 2

[0061] This embodiment uses a mobile phone as the prediction terminal for indoor sound field, and uses less information to predict the sound field of electronic devices in a specified space by running the indoor sound field prediction APP installation application. It includes:

[0062] 1. The user selects the model of electronic device to be purchased, and the prediction terminal obtains the noise data of the selected electronic device from the local or cloud, including but not limited to the sound power, the original noise audio under the condition of the anechoic chamber, etc.

[0063] 2. Enter the spatial information of the specified space, including the length, width and height of the room.

[0064] 3. If other facilities are placed in the designated space, provide the user with options to select the type of facility and the location of the facility in the designated space.

[0065] 4. Choose the location for the electronic device you want to purchase in the designated space.

[0066] The placement position can be simplified, for example, placed on the ground, roof, the same side center or wall corner of an indoor facility, the opposite side center, the opposite side wall corner, the center, etc.

[0067] 5. Calculate the acoustic impulse function of the specified space.

[0068] Includes acoustic pulse functions at different frequencies. Users can select or set frequency density, or the system sets standard frequency density, etc.

[0069] 6. Convolve the acoustic pulse function and the noise features obtained in step 1 to obtain the noise distribution of the electronic equipment in the specified space, generate and display the sound field cloud map, and realize the visualization of the sound field.

[0070] 7. The user chooses any position (noise restoration position) in the specified space to listen to the virtual noise.

[0071] For example, if you want to listen to the noise situation at the location where the bed is placed, select the location of the bed.

[0072] 8. At different frequencies, the acoustic pulse function is convolved with the noise audio to obtain noise-restored audio, and the noise-restored audio is played through speakers or headphones to achieve audibility of the sound field.

[0073] Embodiment 3

[0074] This embodiment uses a computer or a large-screen display device as the prediction terminal for the indoor sound field. By running the indoor sound field prediction APP installation application, the sound field prediction of the electronic device in the specified space is realized in a more intuitive way using more information. Including:

[0075] 1. Import the 2D drawing of the user-specified space into the indoor sound field prediction APP.

[0076] The 2D drawing contains information such as house type and space dimensions.

[0077] 2. Generate editable 2D drawings.

[0078] Based on the user's selection, a 3D diagram of a specified space can also be generated based on a 2D drawing.

[0079] 3. If other facilities are placed in the designated space, provide the user with options to select the type of facility and the location of the facility in the designated space.

[0080] For example, simple facility materials such as beds, cabinets, doors, etc. are stored in the indoor sound field prediction APP. Users can drag or select them to load them into the 3D / 2D drawing, and the acoustic pulse function of the entire specified space can be calculated, including the acoustic pulse functions at different frequencies. Users can select or set the frequency density, or the system sets the standard frequency density.

[0081] 4. The user selects the model of electronic equipment to be purchased, and the prediction terminal obtains the noise data of the selected electronic equipment from the local or cloud, including but not limited to sound power, original noise audio under anechoic chamber conditions, etc.

[0082] The indoor sound field prediction APP sets up the model library (3D / 2D model) of electronic equipment and the corresponding noise data.

[0083] 5. Drag or place the selected electronic device into the 2D / 3D drawing to determine the placement position.

[0084] The placement position can be simplified, for example, placed on the ground, roof, the same side center or wall corner of an indoor facility, the opposite side center, the opposite side wall corner, the center, etc.

[0085] 6. Convolve the acoustic pulse function and the noise features obtained in step 4 to obtain the noise distribution of the electronic equipment in the specified space, generate and display the sound field cloud map, and realize the visualization of the sound field.

[0086] 7. The user chooses any position (noise restoration position) in the specified space to listen to the virtual noise.

[0087] For example, if you want to listen to the noise situation at the location where the bed is placed, select the location of the bed.

[0088] 8. At different frequencies, the acoustic pulse function is convolved with the noise audio to obtain noise-restored audio, and the noise-restored audio is played through speakers or headphones to achieve audibility of the sound field.

[0089] Based on the design of the above-mentioned second and third embodiments, if the user is not satisfied with the noise restoration hearing experience of the electronic device in the designated space, the user can also change the placement of the electronic device in the designated space, or adjust the placement of other facilities in the room to regenerate the noise distribution cloud map and noise restoration audio until the ideal hearing experience is achieved. Several solutions are proposed for the application of electronic devices in designated spaces to improve the user's purchasing experience.

[0090] Embodiment 4

[0091] This embodiment proposes an indoor sound field prediction terminal for the indoor sound field prediction method given in the above embodiment to support the execution of the prediction method.

[0092] like Figure 6 As shown, including:

[0093] The input unit 1 is used to input the space information of the designated space into the indoor sound field prediction terminal.

[0094] The acoustic impulse function calculation unit 2 is used to calculate the acoustic impulse function of the specified space based on the spatial information of the specified space.

[0095] The noise characteristic acquisition unit 3 is used to acquire the noise characteristics of the electronic device tested under the condition of the anechoic chamber.

[0096] The sound field prediction unit 4 is used to obtain the placement position information of the electronic device in the specified space, and calculate the noise distribution of the electronic device in the specified space based on the acoustic pulse function and the noise characteristics.

[0097] The noise cloud map generating unit 5 is used to draw a noise cloud map according to the noise distribution.

[0098] The display unit 6 is used to display the noise cloud map.

[0099] The noise restoration unit 7 is used to determine the noise restoration position in the specified space, and convolve the acoustic pulse function with the noise audio at different frequencies to obtain the noise restoration audio.

[0100] The playing unit 8 is used to play the noise restoration audio.

[0101] Further, the acoustic pulse function calculation unit 2 includes:

[0102] The first acoustic pulse function calculation subunit 21 is used to calculate the acoustic pulse function of a specified space by using a modal expansion method for noise having a frequency less than or equal to a noise frequency cutoff point.

[0103] Specifically, the sound pressure P in the specified space is used to obtain the modal amplitudes P of each order in the specified space using the modal expansion. n ;use Obtain the nth-order mode sound pressure at the specified space r.

[0104] The second acoustic pulse function calculation subunit 22 is used to calculate the acoustic pulse function of a specified space by using a ray tracing method for the noise having a frequency greater than a noise frequency cutoff point.

[0105] Specifically, use

[0106] Calculate the sound pressure level at the specified space i; where, n is the number of sound lines, s(x,y,z) is the initial propagation path when the sound source is emitted; ∑I n (x, y, z) is the incoherent superposition sum of the energy of the sound line passing through the specified space i, ρ0 is the air density, c0 is the sound propagation speed in the air, and (x, y, z) is the spatial coordinate.

[0107] It should be noted that, in the specific implementation process, the above-mentioned control part can be implemented by a hardware processor executing computer execution instructions in software form stored in the memory, which will not be elaborated here, and the programs corresponding to the actions performed by the above-mentioned control can be stored in the computer-readable storage medium of the system in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0108] The computer-readable storage medium mentioned above may include volatile memory, such as random access memory; may also include non-volatile memory, such as read-only memory, flash memory, hard disk or solid-state drive; may also include a combination of the above types of memory.

[0109] The processor mentioned above may also be a general term for multiple processing elements. For example, the processor may be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, field programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc., or may be a dedicated processor.

[0110] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for predicting indoor sound field, characterized in that: include: Using an input unit of a prediction terminal to set spatial information of a designated space; Calculating an acoustic impulse function of the designated space based on spatial information of the designated space; Obtain noise characteristics of electronic equipment tested under anechoic chamber conditions; Acquiring placement information of the electronic device in the designated space, and calculating noise distribution of the electronic device in the designated space based on the acoustic pulse function and the noise characteristics; Calculating the acoustic impulse function of the specified space, including: The acoustic pulse function of the specified space is calculated by using a modal expansion method for noise having a frequency less than or equal to a noise frequency cutoff point; The acoustic pulse function of the designated space is calculated by using a ray tracing method for noise having a frequency greater than a noise frequency cutoff point.

2. The indoor sound field prediction method according to claim 1, characterized in that: The method further comprises: Determining a noise restoration position in the designated space; The acoustic pulse function is convolved with the noise audio at different frequencies to obtain noise-restored audio and play it.

3. The indoor sound field prediction method according to claim 1, characterized in that: After calculating the noise distribution of the electronic device in the designated space, the method further includes: A noise cloud diagram is drawn and displayed according to the noise distribution.

4. The indoor sound field prediction method according to claim 1, characterized in that: The acoustic pulse function of the specified space is calculated using the modal expansion method, specifically: Using the sound pressure P in the specified space, the modal amplitudes of each order in the specified space are obtained by modal expansion. ;use Obtaining the nth-order modal sound pressure at the specified space r; is the characteristic function of the rigid wall of the rectangular closed space, is the mode ordinal number of the nth mode; To specify the space size, The spatial coordinates of any point in the specified space; The acoustic pulse function of the specified space is calculated using the sound ray tracking method, specifically: use Calculate the sound pressure level at the specified space i; wherein, , n is the number of sound lines, is the initial propagation path of the sound source when it is emitted; is the incoherent superposition sum of the sound line energy passing through the specified space i, is the air density, is the speed of sound propagation in air, is the space coordinate.

5. An indoor sound field prediction terminal, comprising: An input unit, used to input space information of a designated space into the indoor sound field prediction terminal; It is characterized by further comprising: an acoustic pulse function calculation unit, configured to calculate the acoustic pulse function of the designated space based on the spatial information of the designated space; A noise characteristic acquisition unit, used to acquire noise characteristics of electronic equipment tested under anechoic chamber conditions; A sound field prediction unit, configured to obtain placement information of the electronic device in the designated space, and calculate the noise distribution of the electronic device in the designated space based on the acoustic pulse function and the noise characteristics; The acoustic pulse function calculation unit includes: A first acoustic pulse function calculation subunit, used to calculate the acoustic pulse function of the specified space by using a modal expansion method for noise having a frequency less than or equal to a noise frequency cutoff point; The second acoustic pulse function calculation subunit is used to calculate the acoustic pulse function of the designated space by using a ray tracing method for the noise having a frequency greater than a noise frequency cutoff point.

6. The indoor sound field prediction terminal according to claim 5, characterized in that: The prediction terminal further includes: A noise restoration unit, used to determine a noise restoration position in the designated space, and convolve the acoustic pulse function with the noise audio at different frequencies to obtain noise restoration audio; A playing unit is used to play the noise restoration audio.

7. The indoor sound field prediction terminal according to claim 5, characterized in that: The prediction terminal further includes: A noise cloud map generating unit, used for drawing a noise cloud map according to the noise distribution; A display unit is used to display the noise cloud map.

8. The indoor sound field prediction terminal according to claim 5, characterized in that: The first acoustic pulse function calculation subunit uses the sound pressure P in the specified space and modal expansion to obtain the amplitudes of each order mode of the specified space. ;use Obtaining the nth-order modal sound pressure at the specified space r; is the characteristic function of the rigid wall of the rectangular closed space, is the mode ordinal number of the nth mode; To specify the space size, The spatial coordinates of any point in the specified space; The second acoustic pulse function calculation subunit adopts Calculate the sound pressure level at the specified space i; wherein, , n is the number of sound lines, is the initial propagation path of the sound source when it is emitted; is the incoherent superposition sum of the sound line energy passing through the specified space i, is the air density, is the speed of sound propagation in air, is the space coordinate.

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