Method, device and equipment for predicting work efficiency degradation in open office and medium

Abstract

The application provides an open office work efficiency attenuation prediction method, device, equipment and medium, acquires sound quality single value evaluation parameters and plane size parameters of an open office, first establishes a relationship function of a language transmission index and a sound source to a receiving point distance, converts discrete point-to-point measurement into a continuous distance function expression, then combines a language intelligibility and a relationship function of individual work efficiency attenuation to establish a relationship function of individual work efficiency attenuation and distance, and finally utilizes the plane size parameters to perform area integration on all sound source and receiving point position combinations in the office to directly calculate an overall work efficiency attenuation, so that it is not necessary to measure the language transmission index of each position combination one by one, and fast prediction from the sound quality single value evaluation parameters to the overall work efficiency attenuation is realized.

Description

Technical Field

[0001] This invention relates to the field of architectural acoustics, and in particular to a method, apparatus, device, and storage medium for predicting the decline in work efficiency in open-plan offices. Background Technology

[0002] Open-plan offices are widely used due to their high flexibility and efficient space utilization. However, their lack of physical partitions results in poor privacy for speech, and the noise generated by conversations between office workers can have a significant negative impact on work efficiency.

[0003] Currently, the international standard ISO 3382-3 defines a set of single-valued evaluation parameters for assessing the acoustic quality of open-plan offices. These parameters include speech spatial attenuation rate, A-weighted speech sound pressure level at four meters, distraction distance, and A-weighted background noise sound pressure level. These parameters can be obtained through standardized acoustic measurement methods and can comprehensively characterize the acoustic performance of open-plan offices. Meanwhile, the academic community has established a quantitative relationship model between speech intelligibility (characterized by the Speech Transmission Index, STI) and individual work efficiency attenuation, providing a theoretical basis for evaluating office efficiency from an acoustic perspective.

[0004] However, the speech transmission index (STI) is a point-to-point parameter describing the intelligibility of speech between a specific sound source and receiver location, and its value varies with the spatial combination of the source and receiver locations. In a real open-plan office, any office worker can potentially become a source of speech noise, while other office workers are potential sources of interference. Therefore, it is necessary to consider all possible source-receiver location combinations within the office space. To accurately assess the overall work efficiency attenuation, current methods require measuring or simulating the STI for a large number of location combinations, then substituting each into an efficiency attenuation model for solution, and finally averaging the results. This process is extremely labor-intensive and time-consuming, making it difficult to apply in practical engineering projects involving architectural acoustics design and office environment optimization.

[0005] In view of the above, this application is hereby submitted. Summary of the Invention

[0006] This invention discloses a method, apparatus, device, and storage medium for predicting the attenuation of work efficiency in open-plan offices. It aims to solve the problem that existing technologies cannot directly predict the overall work efficiency attenuation based on single-value evaluation parameters of sound quality in open-plan offices, but require measuring or calculating the speech transmission index of a large number of sound sources and receiver locations one by one before solving for the efficiency attenuation.

[0007] The first embodiment of the present invention provides a method for predicting the decline in work efficiency in open-plan offices, comprising:

[0008] Acquire the sound quality single-value evaluation parameters and planar dimension parameters of the open office. The sound quality single-value evaluation parameters include speech spatial attenuation rate, A-weighted speech sound pressure level at four meters, distraction distance, and weighted background noise sound pressure level. The planar dimension parameters include planar width and planar length.

[0009] Based on the aforementioned single-value sound quality evaluation parameters, a relationship function between the speech transmission index and the distance from the sound source to the receiving point is established.

[0010] Based on the relationship function between the language transmission index and the distance from the sound source to the receiver, and combined with the relationship function between language intelligibility and the attenuation of individual work efficiency, a relationship function between the attenuation of individual work efficiency and the distance from the sound source to the receiver is established.

[0011] Based on the relationship function between the individual work efficiency attenuation and the distance from the sound source to the receiving point, and the planar dimension parameters, the overall work efficiency attenuation of the open office is calculated by integrating the area of ​​all sound source locations and receiving point locations within the open office plane.

[0012] Preferably, the method for calculating the relationship between the language transmission index and the distance from the sound source to the receiving point is as follows:

[0013] ;

[0014] in, For gender-based octave band weighting factors, For adjacent octave band redundancy factors based on gender, Let be the modulation transfer function value of the j-th octave band at a distance r meters from the sound source;

[0015] The modulation transfer function value The calculation method is as follows: ;in, For the i-th modulation frequency, Let be the apparent signal-to-noise ratio of the j-th octave band at the i-th modulation frequency at a distance of r meters from the sound source;

[0016] The apparent signal-to-noise ratio The calculation method is as follows: In the formula, Where T is the reverberation time. The sound pressure level of speech in the j-th octave band at a distance of r meters from the sound source. is the background noise sound pressure level of the jth octave band.

[0017] Preferably, the sound pressure level of the speech in the j-th octave band at a distance r meters from the sound source is... The calculation method is as follows:

[0018] Based on the A-weighted sound pressure level at four meters and the speech spatial attenuation rate Calculate the A-weighted speech sound pressure level at a distance of r meters from the sound source. :

[0019] ;

[0020] Based on the A-weighted speech sound pressure level and signal speech spectrum correction coefficient Calculate the sound pressure level of the spoken language:

[0021] ;

[0022] in, is the spectral correction coefficient for the speech signal in the j-th octave band.

[0023] Preferably, the background noise sound pressure level of the jth octave band The calculation method is as follows: ,in, The A-weighted background noise sound pressure level, is the spectral correction coefficient for background noise in the j-th octave band.

[0024] Preferably, the reverberation time T is based on the distance r from the sound source to the receiving point and the distraction distance. The relationship is determined, and T is chosen such that The established value.

[0025] Preferably, the method for calculating the relationship between the individual working efficiency attenuation and the distance from the sound source to the receiving point is as follows:

[0026] ;

[0027] in, The relationship between the language transmission index and the distance from the sound source to the receiver is given by the function. B represents the asymptotic maximum value of work efficiency decay, and B represents the magnitude of the change in work efficiency decay. The value represents the position of the center point of the relation function, and k represents the kurtosis control parameter of the relation function.

[0028] Preferably, the method for calculating the overall work efficiency decline (OPD) of the open-plan office is as follows:

[0029] ;

[0030] In the formula ,in, Let be the coordinates of the sound source in the open-plan office coordinate system. Here are the coordinates of the receiving point in the open office plane coordinate system. Where W is the distance between the sound source and the receiving point, W is the width of the plane, and L is the length of the plane.

[0031] A second embodiment of the present invention provides an open-plan office work efficiency decline prediction device, comprising:

[0032] The parameter acquisition module is used to acquire the sound quality single-value evaluation parameters and planar dimension parameters of the open office. The sound quality single-value evaluation parameters include the speech spatial attenuation rate, A-weighted speech sound pressure level at four meters, distraction distance, and weighted background noise sound pressure level. The planar dimension parameters include the planar width and planar length.

[0033] The language transmission index calculation module is used to establish a relationship function between the language transmission index and the distance from the sound source to the receiving point based on the single-value sound quality evaluation parameters.

[0034] The individual efficiency attenuation calculation module is used to establish a relationship function between individual work efficiency attenuation and sound source to receiver based on the relationship function between the language transmission index and the distance from the sound source to the receiver point, combined with the relationship function between language intelligibility and individual work efficiency attenuation;

[0035] The overall efficiency attenuation calculation module is used to calculate the overall work efficiency attenuation of the open office by integrating the area of ​​all sound source positions and receiver position combinations within the open office plane, based on the relationship function between the individual work efficiency attenuation and the distance from the sound source to the receiver point and the plane dimension parameters.

[0036] The third embodiment of the present invention provides an open office work efficiency decline prediction device, including a memory and a processor. The memory stores a computer program, which can be executed by the processor to implement an open office work efficiency decline prediction method as described in any of the above embodiments.

[0037] The fourth embodiment of the present invention provides a computer-readable storage medium, characterized in that it stores a computer program, which can be executed by the processor of the device in which the computer-readable storage medium is located, to implement the open office work efficiency decay prediction method as described in any of the above.

[0038] Based on the open-plan office work efficiency attenuation prediction method, device, equipment, and storage medium provided by this invention, by acquiring the sound quality single-value evaluation parameters and planar dimension parameters of the open-plan office, firstly, a relationship function between the speech transmission index and the distance from the sound source to the receiving point is established, transforming discrete point-to-point measurements into a continuous distance function expression; then, combined with the relationship function between speech intelligibility and individual work efficiency attenuation, a relationship function between individual work efficiency attenuation and distance is established; finally, by using the planar dimension parameters to perform area integration on all sound source and receiving point location combinations within the office, the overall work efficiency attenuation is directly calculated, thus eliminating the need to measure the speech transmission index of each location combination individually, achieving rapid prediction from sound quality single-value evaluation parameters to overall work efficiency attenuation. Attached Figure Description

[0039] Figure 1 This is a flowchart illustrating a method for predicting the decline in work efficiency in an open-plan office, as provided in the first embodiment of the present invention.

[0040] Figure 2 This invention provides a schematic diagram of acoustic measurements performed on three actual open-plan offices, where S is the location of the sound source and R is the location of the receiving point.

[0041] Figure 3 This is a schematic diagram of a module for predicting the decline in work efficiency in an open office, provided in the second embodiment of the present invention. Detailed Implementation

[0042] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0043] To better understand the technical solution of the present invention, the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0044] This invention discloses a method, apparatus, device, and storage medium for predicting the attenuation of work efficiency in open-plan offices. It aims to solve the problem that existing technologies cannot directly predict the overall work efficiency attenuation based on single-value evaluation parameters of sound quality in open-plan offices, but require measuring or calculating the speech transmission index of a large number of sound sources and receiver locations one by one before solving for the efficiency attenuation.

[0045] Please see Figure 1The first embodiment of the present invention provides a method for predicting the decline in work efficiency in an open office, which can be executed by an open office overall work efficiency decline prediction device (hereinafter referred to as prediction device or system), specifically, by one or more processors within the prediction device, to at least achieve the following steps:

[0046] S101, obtain the sound quality single-value evaluation parameters and planar dimension parameters of the open office. The sound quality single-value evaluation parameters include the speech spatial attenuation rate, A-weighted speech sound pressure level at four meters, distraction distance, and weighted background noise sound pressure level. The planar dimension parameters include the planar width and planar length.

[0047] In this embodiment, the prediction device or system may be a server, a desktop computer, a laptop computer, or other terminal with data processing capabilities. The prediction device may be equipped with a corresponding operating system and application software, and the functions required in this embodiment are realized through the combination of the operating system and application software.

[0048] In this embodiment, the first step is to obtain the single-value acoustic quality evaluation parameters and planar dimension parameters of the open-plan office. The single-value acoustic quality evaluation parameters are obtained through acoustic measurements according to the ISO 3382-3 standard, and specifically include four parameters: speech spatial attenuation rate. Characterizes the attenuation of speech sound pressure level with increasing distance; A-weighted speech sound pressure level at four meters. This represents the speech intensity level at a distance of four meters from the sound source; distraction distance. The speech transmission index is defined as the distance from the sound source to the receiver when it equals 0.5, representing the effective range of speech interference; A-weighted background noise sound pressure level. The four sound quality parameters characterize the ambient noise level in the office, excluding speech. All four parameters can be obtained by setting up measuring equipment in the open-plan office and following the measurement procedures specified in ISO 3382-3. The planar dimensional parameters, including the width W and length L of the open-plan office, can be obtained through on-site measurement or by consulting architectural drawings. These parameters serve as input data for subsequently establishing the relationship between the speech transmission index and the distance from the sound source to the receiver.

[0049] S102, Based on the single-value evaluation parameter of sound quality, establish a relationship function between the speech transmission index and the distance from the sound source to the receiving point;

[0050] In this embodiment, a relationship function STI(r) between the speech transmission index and the distance from the sound source to the receiver is established based on the acquired single-value sound quality evaluation parameters. The process of establishing this function is as follows:

[0051] First, calculate the sound pressure level of spoken language in each octave band at a distance of r meters from the sound source. Based on A-weighted speech sound pressure level at four meters. and speech spatial decay rate According to the formula Calculate the A-weighted speech sound pressure level at a distance of r meters from the sound source. Then, combined with the spectral correction coefficient S of the signal speech in the j-th octave band j According to the formula The sound pressure level of speech in each octave band was obtained, among which The values ​​at the center frequencies of the seven octave bands of 125, 250, 500, 1000, 2000, 4000, and 8000 Hz are -7.5, -3.1, 0.6, -5.4, -12.6, -18.6, and -23.9, respectively.

[0052] Then calculate the background noise sound pressure level for each octave band. Background noise sound pressure level based on A-weighted Spectral correction coefficients for background noise in the j-th octave band According to the formula The calculation yielded, where The values ​​at the center frequencies of the seven octave bands of 125, 250, 500, 1000, 2000, 4000, and 8000 Hz are 3.2, 0.2, -2.8, -5.8, -8.8, -11.8, and -14.8, respectively.

[0053] Next, the reverberation time T is determined. The reverberation time T is related to the distance r from the sound source to the receiver and the distraction distance. The relationship is: T takes the value that makes The value that holds true is that the speech transmission index is exactly 0.5 at the distraction distance.

[0054] Based on this, the apparent signal-to-noise ratio is calculated. First, according to the formula... Calculate the relative intensity ratio m of the signal and noise, and then use the formula... The apparent signal-to-noise ratio of the j-th octave band at the i-th modulation frequency at a distance r meters from the sound source is obtained, where the modulation frequency is... The values ​​are 14, ranging from 0.63, 0.80, 1.00, 1.25, 1.60, 2.00, 2.50, 3.15, 4.00, 5.00, 6.30, 8.00, 10.00, to 12.50 Hz.

[0055] Then calculate the modulation transfer function value. According to the formula The modulation transfer function value of the jth octave band at a distance r meters from the sound source is obtained by summing and averaging the apparent signal-to-noise ratios at 14 modulation frequencies.

[0056] Finally, the Language Transfer Index (STI)(r) is calculated. According to the formula... Using gender-based octave band weighting factors and adjacent octave redundancy factor The modulation transfer function values ​​of each octave band are weighted and calculated to obtain the relationship function between the speech transmission index and the distance from the sound source to the receiver. The values ​​at the center frequencies of the seven octave bands (125, 250, 500, 1000, 2000, 4000, and 8000 Hz) are 0.085, 0.127, 0.230, 0.233, 0.309, 0.224, and 0.173, respectively. The values ​​are taken as 0.085, 0.078, 0.065, 0.011, 0.047, and 0.095 at six octave bands of 125, 250, 500, 1000, 2000, and 4000 Hz, respectively. Through the above calculation process, the relationship function STI(r) between the speech transmission index (STI) and the distance from the sound source to the receiver point, based on the single-value sound quality evaluation parameter, can be established.

[0057] S103, Based on the relationship function between the language transmission index and the distance from the sound source to the receiving point, and combined with the relationship function between language intelligibility and individual work efficiency attenuation, establish a relationship function between individual work efficiency attenuation and the distance from the sound source to the receiving point;

[0058] In this embodiment, based on the established relationship function STI(r) between the speech transmission index and the distance from the sound source to the receiver, and combined with the relationship function between speech intelligibility and individual work efficiency attenuation, a relationship function IDP(r) between individual work efficiency attenuation and the distance from the sound source to the receiver is established. This function uses the sigmoid function form to express the nonlinear relationship between speech intelligibility and work efficiency attenuation, and the specific calculation formula is as follows: Where STI(r) is the language transmission index and the distance from the sound source to the receiver established in the aforementioned steps. B , k, and are the parameters of the function relating language clarity to individual work efficiency decline. The values ​​of these four parameters vary depending on the language environment and the type of work task, and need to be determined based on the actual usage of an open-plan office. Taking a European language environment and short-term memory tasks as an example, the function relating language clarity to individual work efficiency decline is derived from research data of four European languages ​​(Finnish, Swedish, French, and German), and its corresponding parameter values ​​are... = 16.0, B = 16.7, =0.3, k = 0.1. This parameter combination targets short-term memory tasks where work efficiency is highly sensitive to changes in the speech transmission index. By substituting the speech transmission index (STI) function (r) relating the distance from the sound source to the receiver into the above formula, we can obtain the individual work efficiency attenuation function (IDP) relating the distance from the sound source to the receiver. This function describes the percentage decrease in work efficiency caused by speech interference for an office worker located r meters away from the speech noise source.

[0059] S104. Based on the relationship function between the individual work efficiency attenuation and the distance from the sound source to the receiving point and the plane dimension parameters, the overall work efficiency attenuation of the open office is calculated by integrating the area of ​​all sound source positions and receiving point positions within the plane of the open office.

[0060] In this embodiment, based on the established relationship function IDP(r) between individual work efficiency attenuation and the distance from the sound source to the receiver, and the planar dimension parameters, the overall work efficiency attenuation OPD of the open-plan office is calculated by integrating the area of ​​all possible combinations of sound source and receiver locations within the open-plan office space. In an open-plan office, any office worker can potentially become a source of speech noise, while other office workers are potential recipients of interference. Therefore, it is necessary to consider the impact of all possible combinations of sound source and receiver locations on overall work efficiency. A Cartesian coordinate system is established with one corner of the open-plan office as the origin. Let the coordinates of the sound source location be... The coordinates of the receiving point are The distance between the sound source and the receiving point The formula for calculating the overall work efficiency degradation (OPD) is as follows: Where W is the width of the open-plan office space and L is the length of the open-plan office space. This formula uses a quadruple integral to iterate through all positions of the sound source in the width direction from 0 to W, and in the length direction from 0 to L, as well as all positions of the receiver within the same range. For each combination of sound source and receiver positions, it calculates the individual work efficiency attenuation value at the corresponding distance, and then divides it by the square of the total area W. 2 L 2 Normalization is performed to obtain the average value of the overall work efficiency decline in open-plan offices. This method transforms the discrete multi-point measurement problem into a continuous area integral calculation, which can comprehensively reflect the combined impact of all location combinations within the office space, and realizes direct prediction from single-value sound quality evaluation parameters to overall work efficiency decline.

[0061] The prediction method is validated below with an example:

[0062] Acoustic measurements were performed on three actual open-plan offices, including ISO 3382-3 acoustic quality measurements and the average speech transmission index. The overall working efficiency attenuation was measured, and the room's floor plan dimensions were also measured. Among these, the ISO 3382-3 single-value evaluation parameter for sound quality included the spatial attenuation rate of speech. Voice A weighted sound pressure level at four meters Distraction distance A-weighted background noise sound pressure level In each open-plan office, the average speech transmission index and overall work efficiency were measured by arranging 56 sound source and receiver locations in a 7x8 configuration, as follows: Figure 2 As shown.

[0063] Where S is the location of the sound source; R is the location of the receiving point.

[0064] Predict the speech transmission index at each measurement point, calculate the average speech transmission index of the room, and then predict the average speech transmission index of the room. Actual measurements and predictions The results are shown in the table below. Among them, the error range for the three open-plan offices is 0.014 to 0.023, all of which are less than the minimum perceptible difference (JND, the corresponding value for STI is 0.03).

[0065]

[0066] The prediction method is set to a European language environment and the task is a short-term memory task. The variables in the relationship function between language clarity and individual work efficiency decay in the corresponding prediction method formula (9) are... For 16.0, 16.7 0.3 The value is 0.1. The relationship function between language clarity and individual work efficiency decay is derived from research data of four European languages ​​(Finnish, Swedish, French, and German), and the work efficiency of the short-term memory task it targets is highly sensitive to changes in STI, making the validation of the prediction method more effective.

[0067] The measured ISO 3382-3 sound quality single-value evaluation parameters and office floor plan dimensions were input into the prediction method to obtain the predicted overall work efficiency attenuation of the open-plan office. The measured speech transmission index at each location was substituted into the relationship function between speech intelligibility and individual work efficiency attenuation to obtain the individual work efficiency attenuation at each location. The average value was then used to obtain the measured overall work efficiency attenuation of the open-plan office. The measured and predicted OPD were compared, and the results are shown in the table below. The error range for the three open-plan offices is 0.15% to 0.27%, all less than 0.3%.

[0068]

[0069] Please see Figure 3 The second embodiment of the present invention provides an open-plan office work efficiency decline prediction device, comprising:

[0070] The parameter acquisition module 201 is used to acquire the sound quality single-value evaluation parameters and planar dimension parameters of the open office. The sound quality single-value evaluation parameters include the speech spatial attenuation rate, A-weighted speech sound pressure level at four meters, distraction distance, and weighted background noise sound pressure level. The planar dimension parameters include the planar width and planar length.

[0071] The language transmission index calculation module 202 is used to establish a relationship function between the language transmission index and the distance from the sound source to the receiving point based on the single-value sound quality evaluation parameter.

[0072] The individual efficiency attenuation calculation module 203 is used to establish a relationship function between individual work efficiency attenuation and sound source to receiver based on the relationship function between the language transmission index and the distance from the sound source to the receiver point, combined with the relationship function between language intelligibility and individual work efficiency attenuation;

[0073] The overall efficiency attenuation calculation module 204 is used to calculate the overall work efficiency attenuation of the open office by integrating the area of ​​all sound source positions and receiver position combinations within the open office plane, based on the relationship function between the individual work efficiency attenuation and the distance from the sound source to the receiver point and the plane dimension parameters.

[0074] The third embodiment of the present invention provides an open office work efficiency decline prediction device, including a memory and a processor. The memory stores a computer program, which can be executed by the processor to implement an open office work efficiency decline prediction method as described in any of the above embodiments.

[0075] The fourth embodiment of the present invention provides a computer-readable storage medium, characterized in that it stores a computer program, which can be executed by the processor of the device in which the computer-readable storage medium is located, to implement the open office work efficiency decay prediction method as described in any of the above.

[0076] Based on the open-plan office work efficiency attenuation prediction method, device, equipment, and storage medium provided by this invention, by acquiring the sound quality single-value evaluation parameters and planar dimension parameters of the open-plan office, firstly, a relationship function between the speech transmission index and the distance from the sound source to the receiving point is established, transforming discrete point-to-point measurements into a continuous distance function expression; then, combined with the relationship function between speech intelligibility and individual work efficiency attenuation, a relationship function between individual work efficiency attenuation and distance is established; finally, by using the planar dimension parameters to perform area integration on all sound source and receiving point location combinations within the office, the overall work efficiency attenuation is directly calculated, thus eliminating the need to measure the speech transmission index of each location combination individually, achieving rapid prediction from sound quality single-value evaluation parameters to overall work efficiency attenuation.

[0077] Exemplary examples show that the computer program described in the third and fourth embodiments of the present invention can be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules can be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in implementing an open-plan office productivity decline prediction device. For example, the apparatus described in the second embodiment of the present invention.

[0078] The processor referred to can be a Central Processing Unit (CPU), or other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. This processor is the control center of the open-plan office work efficiency degradation prediction method, connecting various parts of the method via various interfaces and lines.

[0079] The memory can be used to store the computer program and / or modules. The processor, by running or executing the computer program and / or modules stored in the memory and calling the data stored in the memory, implements various functions of an open office work efficiency degradation prediction method. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, text conversion function, etc.), etc.; the data storage area may store data created based on the use of the mobile phone (such as audio data, text message data, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0080] If the implemented module is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0081] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0082] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for predicting the decline in work efficiency in open-plan offices, characterized in that, include: Acquire the sound quality single-value evaluation parameters and planar dimension parameters of the open office. The sound quality single-value evaluation parameters include speech spatial attenuation rate, A-weighted speech sound pressure level at four meters, distraction distance, and weighted background noise sound pressure level. The planar dimension parameters include planar width and planar length. Based on the aforementioned single-value sound quality evaluation parameters, a relationship function between the speech transmission index and the distance from the sound source to the receiving point is established. Based on the relationship function between the speech transmission index and the distance from the sound source to the receiver, and combined with the relationship function between speech intelligibility and individual work efficiency attenuation, a relationship function between individual work efficiency attenuation and the distance from the sound source to the receiver is established. The calculation method for the relationship function between the speech transmission index and the distance from the sound source to the receiver is as follows: ； in, For gender-based octave band weighting factors, For adjacent octave band redundancy factors based on gender, Let be the modulation transfer function value of the j-th octave band at a distance r meters from the sound source; The modulation transfer function value The calculation method is as follows: ;in, For the i-th modulation frequency, Let be the apparent signal-to-noise ratio of the j-th octave band at the i-th modulation frequency at a distance of r meters from the sound source; The apparent signal-to-noise ratio The calculation method is as follows: In the formula, Where T is the reverberation time. The sound pressure level of speech in the j-th octave band at a distance of r meters from the sound source. The background noise sound pressure level in the j-th octave band; The sound pressure level of speech in the jth octave band at a distance of r meters from the sound source The calculation method is as follows: Based on the A-weighted sound pressure level at four meters and the speech spatial attenuation rate Calculate the A-weighted speech sound pressure level at a distance of r meters from the sound source. : ； Based on the A-weighted speech sound pressure level and signal speech spectrum correction coefficient Calculate the sound pressure level of the spoken language: ； in, represents the spectral correction coefficient for the speech signal in the j-th octave band; The reverberation time T is based on the distance r from the sound source to the receiving point and the distraction distance. The relationship is determined, and T is chosen such that The value that is valid; Based on the relationship function between the individual work efficiency attenuation and the distance from the sound source to the receiving point and the plane size parameters, the overall work efficiency attenuation of the open office is calculated by integrating the area of ​​all sound source locations and receiving point locations within the plane of the open office. The method for calculating the relationship between the individual working efficiency attenuation and the distance from the sound source to the receiving point is as follows: ； in, The relationship between the language transmission index and the distance from the sound source to the receiver is given by the function. B represents the asymptotic maximum value of work efficiency decay, and B represents the magnitude of the change in work efficiency decay. The value represents the location of the center point of the relational function, and k represents the kurtosis control parameter of the relational function; The calculation method for the overall work efficiency decline (OPD) of the open-plan office is as follows: ； In the formula ,in, Let be the coordinates of the sound source in the open-plan office coordinate system. Here are the coordinates of the receiving point in the open office plane coordinate system. Where W is the distance between the sound source and the receiving point, W is the width of the plane, and L is the length of the plane.

2. The method for predicting the decline in work efficiency in an open-plan office according to claim 1, characterized in that, The background noise sound pressure level of the jth octave band The calculation method is as follows: ,in, The background noise sound pressure level is A-weighted. is the spectral correction coefficient for background noise in the j-th octave band.

3. A device for predicting the decline in work efficiency in an open-plan office, characterized in that, include: The parameter acquisition module is used to acquire the sound quality single-value evaluation parameters and planar dimension parameters of the open office. The sound quality single-value evaluation parameters include the speech spatial attenuation rate, A-weighted speech sound pressure level at four meters, distraction distance, and weighted background noise sound pressure level. The planar dimension parameters include the planar width and planar length. The language transmission index calculation module is used to establish a relationship function between the language transmission index and the distance from the sound source to the receiving point based on the single-value sound quality evaluation parameters. The individual efficiency attenuation calculation module is used to establish a relationship function between individual work efficiency attenuation and the distance from the sound source to the receiver point, based on the relationship function between the speech transmission index and the distance from the sound source to the receiver point, combined with the relationship function between speech intelligibility and individual work efficiency attenuation. The calculation method for the relationship function between the speech transmission index and the distance from the sound source to the receiver point is as follows: ； in, For gender-based octave band weighting factors, For adjacent octave band redundancy factors based on gender, Let be the modulation transfer function value of the j-th octave band at a distance r meters from the sound source; The modulation transfer function value The calculation method is as follows: ;in, For the i-th modulation frequency, Let be the apparent signal-to-noise ratio of the j-th octave band at the i-th modulation frequency at a distance of r meters from the sound source; The apparent signal-to-noise ratio The calculation method is as follows: In the formula, Where T is the reverberation time. The sound pressure level of speech in the j-th octave band at a distance of r meters from the sound source. The background noise sound pressure level in the j-th octave band; The sound pressure level of speech in the jth octave band at a distance of r meters from the sound source The calculation method is as follows: Based on the A-weighted sound pressure level at four meters and the speech spatial attenuation rate Calculate the A-weighted speech sound pressure level at a distance of r meters from the sound source. : ； Based on the A-weighted speech sound pressure level and signal speech spectrum correction coefficient Calculate the sound pressure level of the spoken language: ； in, represents the spectral correction coefficient for the speech signal in the j-th octave band; The reverberation time T is based on the distance r from the sound source to the receiving point and the distraction distance. The relationship is determined, and T is chosen such that The value that is valid; The overall efficiency attenuation calculation module is used to calculate the overall work efficiency attenuation of the open office based on the relationship function between the individual work efficiency attenuation and the distance from the sound source to the receiving point and the planar dimension parameters, by performing area integration on the combination of all sound source positions and receiving point positions within the open office plane. The method for calculating the relationship between the individual working efficiency attenuation and the distance from the sound source to the receiving point is as follows: ； in, The relationship between the language transmission index and the distance from the sound source to the receiver is given by the function. B represents the asymptotic maximum value of work efficiency decay, and B represents the magnitude of the change in work efficiency decay. The value represents the location of the center point of the relational function, and k represents the kurtosis control parameter of the relational function; The calculation method for the overall work efficiency decline (OPD) of the open-plan office is as follows: ； In the formula ,in, Let be the coordinates of the sound source in the open-plan office coordinate system. Here are the coordinates of the receiving point in the open office plane coordinate system. Where W is the distance between the sound source and the receiving point, W is the width of the plane, and L is the length of the plane.

4. A device for predicting the decline in work efficiency in open-plan offices, characterized in that, The system includes a memory and a processor, wherein the memory stores a computer program that can be executed by the processor to implement a method for predicting the decline in work efficiency in an open office as described in any one of claims 1 to 2.

5. A computer-readable storage medium, characterized in that, The device contains a computer program that can be executed by a processor of the device on which the computer-readable storage medium is located, to implement the open-plan office productivity decline prediction method as described in any one of claims 1 to 2.

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