A method and system for real-time monitoring of acoustic insulation quality in construction works

Abstract

The application relates to the technical field of building engineering detection, and discloses a building engineering sound insulation quality real-time monitoring method and system, a multi-source acoustic acquisition device is arranged at a key position of building engineering, external noise, indoor response and structure propagation noise are acquired in real time, data preprocessing and time domain-frequency domain joint analysis are carried out, building sound insulation characteristic parameters are extracted, the building sound insulation performance is comprehensively evaluated in combination with building structure attributes and a design sound insulation target, comparison with a preset standard is carried out, sound insulation quality judgment and abnormal early warning are realized. The application can dynamically reflect the building sound insulation state, provides real-time and accurate decision basis for construction quality control and operation management, and is suitable for sound insulation monitoring and management of various building engineering.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of building engineering detection, and particularly relates to a building engineering sound insulation quality real-time monitoring method and system. BACKGROUND

[0002] With the increasing of urban building density, the acoustic comfort of building interior environment gradually becomes an important indicator for design and construction. However, the existing building sound insulation performance evaluation mainly relies on on-site measurement or laboratory test after construction completion, and these methods have problems of long test period, large construction interference and inability to reflect the building sound insulation state in real time. At the same time, the traditional detection means can only measure part of the structure nodes, and it is difficult to realize the overall evaluation of the sound insulation performance of the building envelope structure, and it is also difficult to capture the sound insulation performance fluctuation caused by environmental noise, structure vibration or construction quality difference in the actual use process, which affects the accuracy of sound insulation effect judgment.

[0003] In recent years, multi-channel acoustic acquisition devices and digital signal processing technology have been applied in the field of building acoustics. Through real-time acquisition and analysis of environmental noise, indoor acoustic response and structure-borne noise, dynamic information of building sound insulation performance can be obtained. However, the existing technology still lacks a comprehensive evaluation method combining multi-source acoustic data with building structure properties and design sound insulation targets, and it is difficult to realize real-time judgment and early warning of sound insulation abnormalities, and it is difficult to provide effective sound insulation risk control means for building construction and operation management. SUMMARY

[0004] In order to achieve the above application purpose, the present application provides the following technical scheme: a building engineering sound insulation quality real-time monitoring method, comprising the following steps:

[0005] Step S1, through the multi-source acoustic acquisition device arranged inside, outside and at the key structure nodes of the target area of the building engineering, real-time acquisition of acoustic signals including environmental noise signals outside the building, acoustic response signals inside the building and structure-borne noise signals, and synchronous processing of the acoustic signals based on a unified sampling frequency and a time reference, forming original acoustic sampling data, generating corresponding time identifiers and spatial position identifiers, and obtaining processed acoustic sampling data by data preprocessing of the original acoustic sampling data;

[0006] Step S2, based on the processed acoustic sampling data obtained in step S1, performing time domain and frequency domain joint analysis and feature mapping processing on the acoustic signals, extracting multi-dimensional acoustic feature parameters reflecting the sound insulation characteristics of the building, and forming a sound insulation analysis feature parameter set;

[0007] Step S3, input the sound insulation analysis feature parameter set, building structure attribute and design sound insulation target parameter into the sound insulation quality evaluation model, comprehensively calculate the real-time sound insulation performance of the building engineering, and obtain the sound insulation performance evaluation result;

[0008] Step S4, based on the sound insulation performance evaluation result, compare and analyze with the preset sound insulation quality judgment standard, output the sound insulation quality judgment result of the building engineering, and generate corresponding sound insulation quality evaluation information and abnormal early warning information according to the judgment result.

[0009] Preferably, the step S1 further comprises:

[0010] The air sound transmission collection device, the structure vibration collection device and the background noise reference collection device are arranged in the target area of the building engineering, on the inside and outside of the building engineering and at the key envelope structure nodes, so as to synchronously collect the multi-channel acoustic signals under the running state of the building engineering;

[0011] The acoustic signals of each collection channel are uniformly configured with a sampling frequency, and the multi-channel sampling data are time-aligned by a time synchronization control strategy, so as to form an original acoustic sampling data set containing time identification and space position identification;

[0012] In order to suppress the influence of burst interference noise on subsequent sound insulation analysis, the original acoustic sampling data are preprocessed, including filtering out interference noise and enhancing signal stability, so as to form the processed acoustic sampling data.

[0013] Preferably, the step S2 further comprises:

[0014] The processed acoustic sampling data are analyzed in time domain and frequency domain, low, medium and high frequency energy and spectrum features are extracted, and unit acoustic feature parameters are formed;

[0015] A cross-space sound energy attenuation analysis method is introduced, the sound insulation ability of the building envelope structure to sound energy is quantified, the acoustic feature parameters and the sound energy attenuation index are fused to form a sound insulation analysis feature parameter set;

[0016] The sound insulation analysis feature parameters are multi-dimensionally integrated, and complete and accurate input data are provided for the sound insulation quality evaluation model.

[0017] Preferably, the step S3 further comprises:

[0018] Based on the building structure design information and the construction parameter, a building structure attribute parameter set is constructed, including wall thickness, structure material density and structure sealing integrity;

[0019] The sound insulation analysis characteristic parameters, the building structure attributes and the design sound insulation target parameters are input into a sound insulation quality evaluation model, the real-time sound insulation performance of the building engineering is calculated comprehensively, and the evaluation model parameters are adjusted dynamically according to historical evaluation results and design targets, so that the building engineering conditions are adapted.

[0020] The sound insulation performance evaluation results of the building engineering are output, and basic data for sound insulation quality judgment is provided.

[0021] Preferably, the step S4 further comprises:

[0022] The sound insulation performance evaluation results are compared with preset sound insulation quality judgment standards, and the sound insulation quality deviation is calculated;

[0023] When the deviation shows that the sound insulation performance does not meet the standard, a sound insulation quality abnormality index is generated, which is used to quantify the degree of deviation of the sound insulation performance from the standard;

[0024] The sound insulation abnormality index is accumulated in time and risk evaluated, a sound insulation risk accumulation index is formed, which is used to evaluate the overall risk level of the sound insulation performance changing with time;

[0025] The sound insulation quality judgment results of the building engineering are output according to the sound insulation risk accumulation index, and sound insulation quality abnormality early warning information and a complete sound insulation performance evaluation report are generated when the abnormality index exceeds a preset threshold.

[0026] The application also provides a building engineering sound insulation quality real-time monitoring system, comprising the following modules:

[0027] An acoustic acquisition module is used for arranging multi-source acoustic acquisition devices inside, outside and at key structure nodes of a target area of a building engineering, acquiring real-time building external environmental noise, internal acoustic response and structure propagation noise, and uniformly sampling and time synchronously processing the acquired acoustic signals to form sampling data that can be used for subsequent sound insulation analysis;

[0028] A sound insulation analysis and evaluation module is used for performing time domain and frequency domain joint analysis on the sampling data generated by the acquisition module, extracting building sound insulation characteristic parameters, and comprehensively calculating in combination with building structure attributes and design sound insulation target parameters to generate real-time sound insulation performance evaluation results of the building engineering;

[0029] A sound insulation judgment and early warning module is used for comparing the sound insulation performance evaluation results with preset sound insulation quality judgment standards, outputting sound insulation quality judgment results, and generating corresponding sound insulation quality evaluation information and abnormality early warning information when abnormality and non-standard conditions are found, so as to realize real-time monitoring and risk management of the sound insulation quality of the building engineering.

[0030] The acoustic acquisition module further comprises:

[0031] The air sound collection device, the structure vibration collection device and the background noise reference collection device arranged in the inside, the outside and the key structure node of the building target area can collect multi-channel acoustic signals in the running state of the building synchronously;

[0032] A uniform sampling frequency is configured, and the multi-channel sampling data is time-aligned by a time synchronization control strategy, so as to ensure the synchronization of the collected data in different spatial positions and time;

[0033] The collected acoustic signals are preprocessed, including filtering of burst interference noise and enhancement of signal stability, to form processed acoustic sampling data, so as to provide high-quality input data for sound insulation analysis.

[0034] The sound insulation analysis and evaluation module further comprises:

[0035] The processed acoustic sampling data are analyzed in time domain and frequency domain, low, medium and high frequency energy and spectral features are extracted, multi-dimensional acoustic characteristic parameters are constructed, and the sound insulation characteristics of the building engineering are quantified;

[0036] A cross-space sound energy attenuation calculation method is introduced to evaluate the sound insulation ability of the building envelope structure, and the acoustic features and sound energy attenuation indexes are fused to form a sound insulation analysis characteristic parameter set;

[0037] The sound insulation analysis characteristic parameters, the building structure attributes and the design sound insulation target parameters are input into a sound insulation quality evaluation model, the real-time sound insulation performance of the building engineering is comprehensively calculated, and the model parameters are dynamically adjusted through an online self-learning mechanism to adapt to different building engineering conditions.

[0038] The sound insulation judgment and early warning module further comprises:

[0039] The sound insulation performance evaluation result is differentially analyzed with the preset sound insulation quality judgment standard to generate a sound insulation quality abnormal index, which is used to quantify the degree of deviation of the sound insulation performance from the standard;

[0040] The sound insulation abnormal index is time-accumulated and risk-evaluated to form a sound insulation risk accumulation index, so as to realize the overall monitoring of the change of the sound insulation performance with time;

[0041] The sound insulation quality judgment result of the building engineering is output according to the sound insulation risk accumulation index, and the sound insulation quality abnormal early warning information and the complete sound insulation performance evaluation report are generated when the abnormal index exceeds the preset threshold, so as to provide real-time decision support for the management of the building engineering.

[0042] Compared with the prior art, the present application has the following advantages:

[0043] Real-time monitoring and comprehensive evaluation are realized, through multi-source acoustic acquisition devices and multi-channel synchronous acquisition technology, the building internal and external environment acoustic data can be acquired in real time, and the comprehensive calculation and dynamic evaluation of the building sound insulation performance are realized by combining the building structure properties and the design sound insulation target.

[0044] The accuracy of sound insulation performance determination is improved, the time domain-frequency domain joint analysis, sound energy attenuation calculation and application of abnormal index and risk accumulation index are introduced, the sudden noise interference can be effectively suppressed, the degree of deviation of sound insulation performance from the standard can be quantified, and therefore the accuracy and reliability of sound insulation quality determination are significantly improved.

[0045] Early warning and decision management are supported, through the sound insulation performance abnormal early warning mechanism and the sound insulation quality evaluation report output, the sound insulation abnormal situation can be prompted in time, scientific basis can be provided for building construction quality control, operation and maintenance management and sound insulation improvement, and active management of building sound insulation risk can be realized. BRIEF DESCRIPTION OF DRAWINGS

[0046] Figure 1 A method step flowchart is provided for the present application;

[0047] Figure 2 A system module schematic diagram is provided for the present application. DETAILED DESCRIPTION

[0048] In order for those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the scope of protection of the present application.

[0049] Reference Figure 1 The embodiment of the present application provides a kind of building engineering sound insulation quality real-time monitoring method, comprising the following steps:

[0050] Step S1, through the multi-source acoustic acquisition device of being laid in the inside, outside and key structure node of building engineering target area, building external environment noise signal, building internal acoustic response signal and structure propagation noise signal are acquired in real time, and the acoustic signal is processed synchronously based on uniform sampling frequency and time reference, and original acoustic sampling data set is formed Corresponding time identification parameter is generated simultaneously And spatial position identification parameter Original acoustic sampling data set Is preprocessed to obtain processed acoustic sampling data set .

[0051] In step S1:

[0052] By using airborne sound acquisition units, structural vibration acquisition units, and background noise reference acquisition units located inside and outside the target area of ​​the building project and at key structural nodes, the acoustic signals of the building project under operating conditions are acquired synchronously through multiple channels. The acquired acoustic signals include external incident noise signals, indoor response sound signals, and structural propagation noise signals.

[0053] The acoustic signals from each acquisition channel are configured with a unified sampling frequency, and the multi-channel sampled data are time-aligned based on a time synchronization control strategy to construct a data structure containing time stamp parameters. Spatial location identification parameters The original acoustic sampling dataset ;

[0054] To suppress the impact of sudden interference noise on subsequent sound insulation analysis, an acoustic stability weighting function is introduced to preprocess the original acoustic sampling data, resulting in a processed acoustic sampling dataset. :

[0055] ;

[0056] Wherein, the acoustic stability weighting function Determined based on the rate of change of sound pressure:

[0057] .

[0058] Step S2, based on the processed acoustic sampling dataset The acoustic signals are subjected to joint time-domain and frequency-domain analysis and feature mapping to extract multi-dimensional acoustic feature parameters reflecting the sound insulation characteristics of buildings, forming a set of sound insulation analysis feature parameters. .

[0059] In step S2:

[0060] (1) Based on the processed acoustic sampling dataset obtained in step S1 Short-time Fourier transforms are performed on the acoustic signals corresponding to each spatial location to construct the time-frequency distribution matrix of the acoustic signals. :

[0061] ;

[0062] in, Indicates frequency, Indicates time, Representing spatial location, time-frequency distribution matrix Indicates spatial location at time , the acoustic signal is subjected to time-frequency analysis to obtain an acoustic energy distribution value at a frequency , the acoustic signal is subjected to time-frequency analysis to obtain an acoustic energy distribution value at a frequency , the acoustic signal is subjected to time-frequency analysis to obtain an acoustic energy distribution value at a frequency , the acoustic signal is subjected to time-frequency analysis to obtain an acoustic energy distribution value at a frequency , the acoustic signal is subjected to time-frequency analysis to obtain an acoustic energy distribution value at a frequency

[0063] (2) Based on the time-frequency distribution matrix, low-frequency energy parameters , medium-frequency energy parameters , high-frequency energy parameters , spectral centroid parameters , and spectral bandwidth parameters are extracted respectively, and a unit acoustic feature vector is formed:

[0064] ;

[0065] (3) Further introducing a spatial acoustic energy decay function to obtain an acoustic energy decay parameter , which is used to quantify the sound insulation capability of the building envelope:

[0066] ;

[0067] wherein, represents the acoustic energy parameter of the sound source side of the building sound insulation structure at a spatial position , which is collected by the acoustic collection device arranged outside the building;

[0068] represents the acoustic energy parameter of the receiving side of the building sound insulation structure at a corresponding spatial position , which is obtained by the acoustic collection device arranged inside the building;

[0069] (4) The acoustic feature vector is fused with the acoustic energy decay function to form a sound insulation analysis feature parameter set :

[0070] .

[0071] Step S3, inputting the sound insulation analysis feature parameter set into a sound insulation quality evaluation model, combining building structure attribute parameters and design sound insulation target parameters , and comprehensively calculating the real-time sound insulation performance of the building project to obtain sound insulation performance evaluation result parameters .

[0072] In step S3:

[0073] Based on the structural design information and construction parameters of the building engineering, a building structure attribute parameter set is constructed , which includes wall thickness parameters , structural material density parameters , and structural sealing integrity parameters ;

[0074] The sound insulation analysis feature parameter set and the building structure attribute parameter set are input into the sound insulation quality evaluation model to construct a sound insulation performance evaluation result parameter :

[0075] ;

[0076] wherein, is the sound insulation performance contribution weight coefficient, and satisfies + + =1;

[0077] To improve the adaptability of the model to different building engineering conditions, an online self-learning correction mechanism is introduced, and the weight coefficient is dynamically adjusted according to the historical evaluation results and the design sound insulation target parameter :

[0078] ;

[0079] wherein, represents the learning rate parameter for weight updating.

[0080] Step S4, based on the sound insulation performance evaluation result parameter and the preset sound insulation quality judgment threshold parameter , comparative analysis is carried out, and the sound insulation quality judgment result of the building engineering is output , and the corresponding sound insulation quality evaluation information and abnormal early warning information are generated according to the judgment result.

[0081] In step S4:

[0082] The sound insulation performance evaluation result parameter and the preset sound insulation quality judgment threshold parameter are calculated by difference:

[0083] ;

[0084] When the difference result satisfies , it is determined that the sound insulation quality of the current building engineering does not meet the standard, and the sound insulation quality abnormal index is further calculated :

[0085] ;

[0086] Among them, the abnormal sound insulation quality index This value is used to characterize the degree to which the sound insulation performance of a building project deviates from a preset threshold at a specific location and time. The larger the value, the worse the sound insulation performance.

[0087] To avoid misjudgment caused by instantaneous noise fluctuations, a cumulative sound insulation risk index is introduced. The abnormal index is smoothed:

[0088] ;

[0089] Among them, the cumulative risk index of sound insulation Indicates the time interval Internal sound insulation quality abnormality index The cumulative value is used to assess the overall risk level of sound insulation performance changing over time;

[0090] Ultimately based on the cumulative sound insulation risk index Output sound insulation quality assessment results When the abnormal sound insulation quality index exceeds the preset risk threshold, it generates corresponding early warning information on abnormal sound insulation quality and a sound insulation performance evaluation report.

[0091] refer to Figure 2 This invention provides a real-time monitoring system for the sound insulation quality of building engineering, comprising the following modules:

[0092] The acoustic acquisition module is used to deploy multi-source acoustic acquisition devices inside and outside the target area of ​​the building project and at key structural nodes to collect external environmental noise, internal acoustic response and structural propagation noise in real time. The acquired acoustic signals are uniformly sampled and time-synchronized to form sampling data that can be used for subsequent sound insulation analysis.

[0093] In the acoustic acquisition module:

[0094] Airborne acoustic acquisition devices, structural vibration acquisition devices, and background noise reference acquisition devices are deployed inside and outside the target area of ​​the building and at key structural nodes, which can synchronously acquire multi-channel acoustic signals under the building's operating conditions.

[0095] Configure a unified sampling frequency and perform time alignment processing on multi-channel sampling data through a time synchronization control strategy to ensure the synchronization of collected data in different spatial locations and times.

[0096] The collected acoustic signals are pre-processed, including filtering out burst interference noise and enhancing signal stability, to form processed acoustic sampling data, providing high-quality input data for sound insulation analysis.

[0097] The sound insulation analysis and evaluation module is used for joint time and frequency domain analysis of the sampling data generated by the acquisition module, extraction of building sound insulation characteristic parameters, comprehensive calculation combining building structure attributes and design sound insulation target parameters, and generation of real-time sound insulation performance evaluation results of building engineering.

[0098] In the sound insulation analysis and evaluation module:

[0099] The processed acoustic sampling data is subjected to joint time and frequency domain analysis, low, medium and high frequency energy and spectral features are extracted, multi-dimensional acoustic characteristic parameters are constructed, and building engineering sound insulation characteristics are quantified;

[0100] The cross-space sound energy attenuation calculation method is introduced to evaluate the sound insulation capability of building envelope structure, and the acoustic features and sound energy attenuation indicators are fused to form a set of sound insulation analysis characteristic parameters;

[0101] The sound insulation analysis characteristic parameters, building structure attributes and design sound insulation target parameters are input into the sound insulation quality evaluation model, the real-time sound insulation performance of building engineering is comprehensively calculated, and the model parameters are dynamically adjusted through online self-learning mechanism to adapt to different building engineering conditions.

[0102] The sound insulation judgment and early warning module is used for comparing the sound insulation performance evaluation results with the preset sound insulation quality judgment standard, outputting the sound insulation quality judgment results, and generating corresponding sound insulation quality evaluation information and abnormal early warning information when abnormalities and unqualified conditions are found, to realize real-time monitoring and risk management of building engineering sound insulation quality.

[0103] In the sound insulation judgment and early warning module:

[0104] The sound insulation performance evaluation results are subjected to difference analysis with the preset sound insulation quality judgment standard to generate sound insulation quality abnormality indicators for quantifying the degree of deviation of sound insulation performance from the standard;

[0105] The sound insulation abnormality indicators are subjected to time accumulation and risk evaluation to form sound insulation risk accumulation indicators, realizing overall monitoring of the change of sound insulation performance over time;

[0106] The sound insulation quality judgment results of building engineering are output according to the sound insulation risk accumulation indicators, and sound insulation quality abnormality early warning information and complete sound insulation performance evaluation report are generated when the abnormality index exceeds the preset threshold, to provide real-time decision support for building engineering management.

[0107] It should be noted that the embodiments in the present application and the features and technical solutions in the embodiments can be combined with each other without conflict.

[0108] Obviously, the above-described embodiments are only some embodiments of the present application, but not all the embodiments. The preferred embodiments of the present application are shown in the drawings, but do not limit the patent scope of the present application. The present application can be implemented in many different forms, and conversely, the purpose of providing these embodiments is to make the disclosure of the present application more thorough and comprehensive. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions recorded in the foregoing specific embodiments, or equivalently replace some technical features therein. Any equivalent structure made by using the content of the present application specification and drawings, directly or indirectly applied to other related technical fields, is also within the patent protection scope of the present application.

Claims

1. A method of real-time monitoring of acoustic quality of construction works, characterized in that, The method comprises the following steps: Step S1, through the multi-source acoustic acquisition device arranged inside and outside the target area of the construction project and at the key structure nodes, real-time acquisition of acoustic signals including external environmental noise signals, internal acoustic response signals and structure propagation noise signals of the building, and synchronous processing of the acoustic signals based on a unified sampling frequency and time reference to form original acoustic sampling data, while generating corresponding time identifiers and spatial position identifiers, and data preprocessing of the original acoustic sampling data to obtain processed acoustic sampling data; Step S2, based on the processed acoustic sampling data obtained in step S1, time-domain and frequency-domain joint analysis and feature mapping processing of the acoustic signals are performed to extract multi-dimensional acoustic feature parameters reflecting the sound insulation characteristics of the building to form a sound insulation analysis feature parameter set; Step S3, the sound insulation analysis feature parameter set, the building structure attribute and the design sound insulation target parameter are input into the sound insulation quality evaluation model to comprehensively calculate the real-time sound insulation performance of the construction project, and the sound insulation performance evaluation result is obtained; Step S4, based on the sound insulation performance evaluation result, comparative analysis is performed with the preset sound insulation quality judgment standard, the sound insulation quality judgment result of the construction project is output, and corresponding sound insulation quality evaluation information and abnormal early warning information are generated according to the judgment result.

2. A method of real-time monitoring of acoustic mass in construction engineering according to claim 1, characterized in that, The step S1 further comprises: The air sound collection device, the structure vibration collection device and the background noise reference collection device are arranged inside and outside the target area of the construction project and at the key envelope structure nodes to synchronously collect multi-channel acoustic signals under the running state of the building; The acoustic signals of each collection channel are configured with a unified sampling frequency, and the multi-channel sampling data are time-aligned by a time synchronization control strategy to form an original acoustic sampling data set containing time identifiers and spatial position identifiers; In order to suppress the influence of burst interference noise on subsequent sound insulation analysis, the original acoustic sampling data are preprocessed, including filtering out interference noise and enhancing signal stability, to form processed acoustic sampling data.

3. A method of real-time monitoring of acoustic mass in building engineering according to claim 1, characterized in that, The step S2 further comprises: Time-domain and frequency-domain joint analysis is performed on the processed acoustic sampling data to extract low, medium and high frequency energy and spectral features to form acoustic feature parameters of unit position; A cross-space sound energy attenuation analysis method is introduced to quantify the sound insulation ability of the building envelope structure, and the acoustic feature parameters and sound energy attenuation indicators are fused to form a sound insulation analysis feature parameter set; The sound insulation analysis feature parameters are integrated in multiple dimensions to provide complete and accurate input data for the sound insulation quality evaluation model.

4. A method of real-time monitoring of acoustic mass in building engineering according to claim 1, characterized in that, The step S3 further comprises: Based on the building structure design information and construction parameters, a building structure attribute parameter set is constructed, including wall thickness, structure material density and structure sealing integrity; The sound insulation analysis feature parameters, the building structure attribute and the design sound insulation target parameter are input into the sound insulation quality evaluation model to comprehensively calculate the real-time sound insulation performance of the construction project, and the evaluation model parameters are dynamically adjusted according to the historical evaluation results and design targets to adapt to different construction project conditions; The sound insulation performance evaluation result of the construction project is output to provide basic data for sound insulation quality judgment.

5. A method of real-time monitoring of acoustic mass in construction engineering according to claim 1, characterized in that, The step S4 further comprises: Comparing the sound insulation performance evaluation result with the preset sound insulation quality judgment standard to calculate the sound insulation quality deviation; When the deviation shows that the sound insulation performance does not meet the standard, a sound insulation quality abnormality index is generated to quantify the degree of deviation of the sound insulation performance from the standard; The sound insulation abnormality index is accumulated in time and risk evaluated to form a sound insulation risk accumulation index for evaluating the overall risk level of the sound insulation performance changing with time; The sound insulation quality judgment result of the construction project is output according to the sound insulation risk accumulation index, and sound insulation quality abnormality early warning information and a complete sound insulation performance evaluation report are generated when the abnormality index exceeds a preset threshold.

6. A real-time monitoring system for acoustic quality of construction works, characterized in that, It comprises the following modules: An acoustic acquisition module for laying multiple-source acoustic acquisition devices inside, outside and at key structural nodes of a target area of a construction project to acquire external environmental noise, internal acoustic response and structural transmission noise in real time, and uniformly sampling and time synchronizing the acquired acoustic signals to form sampling data that can be used for subsequent sound insulation analysis; A sound insulation analysis and evaluation module for jointly analyzing the sampling data generated by the acquisition module in time domain and frequency domain, extracting building sound insulation characteristic parameters, and comprehensively calculating in combination with building structure attributes and design sound insulation target parameters to generate real-time sound insulation performance evaluation results of the construction project; A sound insulation judgment and early warning module for comparing the sound insulation performance evaluation results with preset sound insulation quality judgment standards to output sound insulation quality judgment results, and generating corresponding sound insulation quality evaluation information and abnormality early warning information when abnormalities and non-compliance are found to realize real-time monitoring and risk management of the sound insulation quality of the construction project.

7. A real-time monitoring system for acoustic mass in building construction according to claim 6, characterized in that, The acoustic acquisition module further comprises: Air sound acquisition devices, structural vibration acquisition devices and background noise reference acquisition devices laid inside, outside and at key structural nodes of the target area of the construction project can synchronously acquire multi-channel acoustic signals under the running state of the building; A uniform sampling frequency is configured, and time alignment processing of the multi-channel sampling data is performed through a time synchronization control strategy to ensure the synchronization of the acquired data in different spatial positions and times; The acquired acoustic signals are preprocessed, including filtering out burst interference noise and enhancing signal stability to form processed acoustic sampling data, which provides high-quality input data for sound insulation analysis.

8. A real-time monitoring system for acoustic mass in building construction according to claim 6, characterized in that, The sound insulation analysis and evaluation module further comprises: The processed acoustic sampling data are jointly analyzed in time domain and frequency domain to extract low, medium and high frequency energy and spectral features, construct multi-dimensional acoustic characteristic parameters, and quantify the sound insulation characteristics of the construction project; A cross-space sound energy attenuation calculation method is introduced to evaluate the sound insulation ability of the building envelope to sound energy, and acoustic features and sound energy attenuation indexes are fused to form a sound insulation analysis characteristic parameter set; The sound insulation analysis characteristic parameters, building structure attributes and design sound insulation target parameters are input into a sound insulation quality evaluation model to comprehensively calculate the real-time sound insulation performance of the construction project, and the model parameters are dynamically adjusted through an online self-learning mechanism to adapt to different construction project conditions.

9. A real-time monitoring system for acoustic mass in construction engineering according to claim 6, characterized in that, The sound insulation judgment and early warning module further comprises: The sound insulation performance evaluation result is subjected to difference analysis with a preset sound insulation quality determination standard to generate a sound insulation quality abnormality index for quantifying the degree of deviation of the sound insulation performance from the standard; The sound insulation abnormality index is subjected to time accumulation and risk assessment to form a sound insulation risk accumulation index, thereby realizing overall monitoring of the change of the sound insulation performance over time; The sound insulation quality determination result of the building engineering is output according to the sound insulation risk accumulation index, and sound insulation quality abnormality early warning information and a complete sound insulation performance evaluation report are generated when the abnormality index exceeds a preset threshold, thereby providing real-time decision support for building engineering management.

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