Building construction noise evaluation method and system
By collecting and analyzing multi-source data in construction, establishing a noise evaluation model, and using game theory empowerment method, the problem of inaccurate noise evaluation in the existing technology is solved, and a more comprehensive and accurate noise impact assessment is achieved.
Patent Information
- Application Number
- CN202510336938.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-21
- Publication Date
- 2025-04-18
- Estimated Expiration
- 2045-03-21
AI Technical Summary
The existing building construction noise evaluation method relies on a single objective data, cannot fully and accurately reflect the actual impact of noise on people's lives and work, and ignores the user's subjective experience.
A building construction noise evaluation method is adopted. By obtaining multi-source data in the noise monitoring area, including noise data, psychological state data and construction stage information data, data analysis and processing are carried out, a noise evaluation model in the construction environment is established, and the weight allocation is used for game theory comprehensive empowerment method to obtain noise scores.
This method can accurately reflect the degree of noise impact in different areas in the construction environment, supplement the noise evaluation dimension from the perspective of construction workers and users, reveal the correlation between different construction stages and noise impact, significantly improve the comprehensiveness and accuracy of noise evaluation, and ensure that noise issues are considered from multiple key levels.
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Figure CN119845411A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of building construction management, and in particular to a noise evaluation method and system for building construction. Background Art
[0002] With the acceleration of urbanization, construction projects are increasing. The noise generated during construction has a serious impact on surrounding residents and the environment. At present, the evaluation and management of construction noise mainly rely on objective data collected by professional noise monitoring equipment, which results in too single data and ignores the user's subjective experience of the construction environment; because different people may have different feelings about the same intensity of noise, relying solely on objective data cannot fully and accurately reflect the actual impact of construction noise on people's lives and work. Summary of the invention
[0003] In view of the above-mentioned deficiencies in the prior art, the present invention provides a construction noise evaluation method and system, which are used to solve the problem of inaccurate noise evaluation caused by single data and ignoring the user's subjective experience of the construction environment in the existing construction noise evaluation method or system.
[0004] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is: A method for evaluating noise during construction comprises the following steps: S1. Obtain the noise monitoring area and divide the noise monitoring area into construction areas and key areas of concern; S2. When construction is being carried out in the construction area, noise data of the construction area and the key focus area are respectively collected and normalized, and based on the normalized noise data of the construction area and the key focus area, a first comprehensive noise impact index under the construction environment is calculated; S3. When construction is underway in a construction area, the psychological state of the construction workers and users in key areas is investigated and counted, and a construction worker and user experience scoring model for the construction environment is established to calculate the comprehensive experience scoring index under the construction environment; S4. When construction is being carried out in the construction area, the construction phase information data of the construction area is collected, and the construction phase information data is uniquely encoded. At the same time, according to the importance of the construction phase information data on the noise, the noise impact coefficient of the construction phase information data is established, and the second comprehensive noise impact index under the construction environment is calculated; Among them, the construction phase information data includes the construction phase, construction time, and construction machinery information; S5. After normalizing the first comprehensive noise impact index, the comprehensive experience score index and the second comprehensive noise impact index, the comprehensive weighting method of game theory is used to allocate weights. By establishing a noise evaluation model under the construction environment, the noise score under the construction environment is obtained to evaluate the noise impact of the construction environment.
[0005] A construction noise evaluation system using a construction noise evaluation method comprises: Multi-source data collection module, used to collect noise data of construction areas and key focus areas, psychological state data of construction workers and users in key focus areas, and construction stage information data of construction areas; The data analysis and processing module is used to analyze and process the noise data of the construction area and the key focus area, the psychological state data of the construction workers and the users in the key focus area, and the construction stage information data of the construction area, and establish a noise evaluation model under the construction environment; The early warning module is used to obtain the noise score in the construction environment according to the noise evaluation model in the construction environment, so as to evaluate the noise impact of the construction environment and determine whether to take noise reduction measures for noise management.
[0006] The present invention has the following beneficial effects: 1. The noise evaluation method and system for building construction proposed in the present invention collects multi-source data such as noise data, psychological state data, and construction stage information data, and performs data analysis and processing to generate noise impact indicators focusing on the construction area and the surrounding area, experience rating indicators of users and construction workers in the construction environment, and noise impact indicators of the construction stage on the construction environment. These indicators accurately reflect the degree of noise impact in different areas under the construction environment, and at the same time supplement the noise evaluation dimension from the perspective of construction and users, and reveal the relationship between different construction stages and noise impact; 2. The comprehensive weighting method of game theory is used to allocate weights, establish a noise evaluation model under the construction environment, and obtain the noise score under the construction environment to evaluate the noise impact of the construction environment and conduct noise management, which greatly improves the scientific nature of the evaluation model; and compared with traditional methods, the present invention significantly improves the comprehensiveness of noise evaluation data, ensuring that noise problems are considered from multiple key levels; greatly improves the accuracy of noise evaluation, and avoids evaluation deviations caused by one-sided data or unreasonable weights; at the same time, with a complete data collection and analysis system, it can more properly manage the noise data generated by construction. BRIEF DESCRIPTION OF THE DRAWINGS
[0007] Figure 1 A schematic diagram of a flow chart of a noise evaluation method for building construction proposed by the present invention; Figure 2 This is a structural schematic diagram of a noise evaluation system for building construction proposed by the present invention. DETAILED DESCRIPTION
[0008] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.
[0009] like Figure 1 As shown, a noise evaluation method for building construction includes the following steps: S1. Obtain the noise monitoring area and divide it into construction areas and key focus areas.
[0010] Specifically, the focus area in step S1 is the area around the construction area including residential areas, schools and hospitals.
[0011] In this embodiment, the purpose of dividing the construction area and the key focus area is: since the construction area is the main source of noise, dividing the construction area can accurately monitor the noise generated by construction activities. At the same time, the key focus area is the sensitive area affected by noise (such as residential areas, schools, hospitals, etc.). Dividing the key focus area can monitor the impact of noise on the surrounding environment, so as to achieve more accurate and comprehensive noise monitoring and management.
[0012] S2. When construction is being carried out in the construction area, noise data of the construction area and the key focus area are collected and normalized respectively, and based on the normalized noise data of the construction area and the key focus area, a first comprehensive noise impact index in the construction environment is calculated.
[0013] Specifically, step S2 specifically includes S21-S25: S21. Uniformly grid the construction area and the key focus area respectively to generate a construction area grid and a key focus area grid.
[0014] S22, every Noise intensity sensors are installed in each construction area grid. When construction is in progress in the construction area, noise data of the construction area is collected, namely:
[0015] in, represents the noise data set of the construction area, Indicates Line Column noise data for construction area grids, , Respectively represent the total number of rows and columns of the construction area grid, , Respectively represent Line The center of the column building construction area grid, Represents the noise intensity data at the center of the grid in the construction area.
[0016] In this embodiment, every The purpose of installing noise intensity sensors in a grid in each construction area is to reduce the number of sensors and reduce deployment costs.
[0017] S23. When construction is underway in a construction area, a noise intensity sensor is installed in each key area grid to collect noise data in the key area, namely:
[0018] in, A noise data group representing the area of focus, Indicates Line The columns focus on the noise data of the regional grid. , Respectively represent the total number of rows and columns of the focus area grid, , Respectively represent Line Column focuses on the center of the area grid, Indicates the noise intensity data at the center of the regional grid.
[0019] In this embodiment, the purpose of installing a noise intensity sensor in each key area grid is to ensure high-precision monitoring of sensitive areas.
[0020] S24, normalizing the noise data of the construction area and the noise data of the key focus area respectively to obtain normalized noise data of the construction area and the key focus area.
[0021] S25. Based on the normalized noise data of the construction area and the key focus area, calculate the first comprehensive noise impact index under the construction environment, namely:
[0022] in, It represents the first comprehensive noise impact index in the construction environment. Represents the total number of noise intensity sensors installed in the construction area, Indicates the number of installed noise intensity sensors. The noise intensity of the construction area grid, Indicates the total number of noise intensity sensors installed in the focus area, Indicates the number of installed noise intensity sensors. The noise intensity of the grid in the focus area, Indicates a rounding operation.
[0023] In this embodiment, the average value of the noise data collected by all noise intensity sensors arranged in the construction area and the key focus area is calculated and used as a comprehensive index to measure the impact of construction environment noise. That is, when the comprehensive noise impact index (first comprehensive noise impact index) of the construction area and the key focus area is large, it can be judged that the noise pollution is serious. In addition, the noise contribution of the construction area and the key focus area can be calculated respectively according to the calculated first comprehensive noise impact index to evaluate the impact of noise, wherein the noise contribution of the construction area and the key focus area is respectively: , represents the noise contribution of the construction area, Indicates the noise contribution of the key focus area; Higher, When it is low, it means that the construction area is the main noise source, indicating that the noise in the construction area will affect the construction workers, so the noise impact can be reduced by adjusting the construction machinery or equipment; Higher, When it is low, it means that the area surrounding the construction site is greatly affected by noise and the noise does not come from the construction environment.
[0024] S3. When construction is underway in a building construction area, the psychological states of construction workers and users in key areas are investigated and counted, and an experience scoring model for construction workers and users on the construction environment is established to calculate the comprehensive experience scoring index in the construction environment.
[0025] Specifically, step S3 specifically includes S31-S34: S31. When construction is being carried out in a construction area, a psychological state survey and statistics are conducted on the construction workers in the construction area, including stress perception, concentration, emotional state, and mental health, to obtain the psychological state results of the construction workers.
[0026] In this embodiment, when construction is being carried out in the construction area, the construction workers are asked to fill in a psychological state form, which mainly includes investigation and statistics on stress perception, concentration, emotional state, and mental health, as shown in Table 1: Table 1 Questionnaire on the psychological status of construction workers in the construction environment
[0027] Therefore, by conducting the psychological state statistics of all construction workers in Table 1, we can obtain the psychological state results of all construction workers, that is, the psychological state scores of all construction workers.
[0028] S32. When construction is being carried out in a construction area, a psychological status survey and statistics are conducted on users in key focus areas, including noise sensitivity, life satisfaction, emotional state, and mental health, to obtain the psychological status results of the users.
[0029] In this embodiment, when construction is being carried out in a construction area, a psychological state table is filled out for users in the key focus area, mainly including surveys and statistics on noise sensitivity, life satisfaction, emotional state, and mental health, as shown in Table 2: Table 2 Questionnaire on the psychological status of users in key areas under construction environment
[0030] Therefore, by performing the psychological state statistics of the users in the key focus areas as shown in Table 2, the psychological state results of all users can be obtained, that is, the psychological state scores of all users in the key focus areas.
[0031] S33, respectively normalize the psychological state results of the construction workers and the psychological state results of the users, and establish a construction worker and user experience scoring model for the construction environment, namely:
[0032] in, It indicates the construction workers’ experience rating of the construction environment. It represents the user's experience rating of the construction environment. , , , , , They represent the weights of stress perception score, concentration score, emotional state score, mental health score, noise sensitivity score, and life satisfaction score, respectively. , , , , , They represent the normalized stress perception score, concentration score, emotional state score, mental health score, noise sensitivity score, and life satisfaction score, respectively.
[0033] In this embodiment, , ,In addition, the weights of stress perception, concentration, emotional state, mental health, noise sensitivity, and life satisfaction are ,assigned through expert experience, and it is generally believed that mental health is the most important, ,stress perception and noise sensitivity are second, and concentration, emotional state, and life satisfaction are ,equally important.
[0034] S34, respectively assign equal weights to the experience scores of the construction workers and users on the construction environment, and calculate the comprehensive experience score index under the construction environment, namely:
[0035] in, It represents the comprehensive experience rating index in the construction environment. , They respectively represent the weights of the construction workers’ and users’ experience scores on the construction environment.
[0036] In this embodiment, , Both are 0.5, which means that the experience scores of construction workers and users on the construction environment are equally important.
[0037] S4. When construction is being carried out in a construction area, collect construction phase information data of the construction area, and perform one-hot encoding on the construction phase information data. At the same time, according to the importance of the construction phase information data on the noise, establish the noise impact coefficient of the construction phase information data, and calculate the second comprehensive noise impact index in the construction environment; wherein, the construction phase information data includes the construction phase, construction time, and construction machinery information.
[0038] In this embodiment, the purpose of performing unique hot encoding on the construction phase information data is to convert the construction phase information data into numerical data for subsequent data processing. In addition, the purpose of selecting the construction phase information data including the construction phase, construction time, and construction machinery information is to capture the noise changes in different stages, different time periods, and different machinery combinations during the construction process, so as to more comprehensively evaluate the impact of the construction phase information on the noise.
[0039] Specifically, step S4 specifically includes S41-S46: S41. When construction is being carried out in a construction area, construction phase information data of the construction area including construction phase, construction time, and construction machinery information is collected.
[0040] S42, classify and encode the construction stages into types including foundation construction, structure construction and decoration construction, and obtain unique hot codes for different construction types.
[0041] S43, the construction time is divided into time periods including working days, nights and holidays and encoded to obtain unique hot codes for different construction time periods.
[0042] S44, classify and encode the construction machinery information to obtain unique hot codes of different construction machinery.
[0043] S45. According to the construction type, construction time period and the importance of the impact of construction machinery on noise, establish the noise impact coefficients of different construction types, different construction time periods and different construction machinery, and calculate the noise impact index of the construction stage, construction time and construction machinery information, namely:
[0044] in, Indicates the noise impact index during the construction phase, Indicates the total number of construction types, Indicates Noise impact coefficient of each construction type, Indicates One-hot encoded values of construction types, Indicates the noise impact index during construction time, Indicates the total number of construction time periods, Indicates The noise impact coefficient of each construction period, Indicates The one-hot encoding value of each construction period, Indicates the noise impact index of construction machinery information, Represents the total number of construction machinery types, Indicates Noise impact coefficient of various construction machinery, Indicates The coding value of a construction machinery.
[0045] S46. Based on the noise impact index of the construction stage, construction time and construction machinery information, the analytic hierarchy process is used to allocate weights and calculate the second comprehensive noise impact index under the construction environment, namely:
[0046] in, It represents the second comprehensive noise impact index in the construction environment. , , They respectively represent the weights of the noise impact index of the construction stage, construction time and construction machinery information.
[0047] S5. After normalizing the first comprehensive noise impact index, the comprehensive experience score index and the second comprehensive noise impact index, the comprehensive weighting method of game theory is used to allocate weights. By establishing a noise evaluation model under the construction environment, the noise score under the construction environment is obtained to evaluate the noise impact of the construction environment.
[0048] Specifically, step S5 specifically includes S51-S56: S51. Normalize the first comprehensive noise impact index, the comprehensive experience scoring index, and the second comprehensive noise impact index respectively to obtain a normalized first comprehensive noise impact index, a comprehensive experience scoring index, and a second comprehensive noise impact index.
[0049] S52. Based on the normalized first comprehensive noise impact index, the comprehensive experience scoring index and the second comprehensive noise impact index, the subjective weights of the normalized first comprehensive noise impact index, the comprehensive experience scoring index and the second comprehensive noise impact index are calculated using the hierarchical analysis method.
[0050] S53. Based on the normalized first comprehensive noise impact index, the comprehensive experience scoring index and the second comprehensive noise impact index, the entropy weight method is used to calculate the objective weights of the normalized first comprehensive noise impact index, the comprehensive experience scoring index and the second comprehensive noise impact index.
[0051] S54. Based on the normalized first comprehensive noise impact index, the comprehensive experience rating index, and the subjective weight and objective weight of the second comprehensive noise impact index, a game model based on the subjective weight and the objective weight is established and solved to obtain the optimal weight combination, namely:
[0052] in, represents a game model based on subjective weight and objective weight, Indicates taking the minimum value, represents the optimal weight combination, represents the subjective weight combination, represents the objective weight combination, , , They represent the optimal weights of the normalized first comprehensive noise impact index, the comprehensive experience score index, and the second comprehensive noise impact index, respectively. , , They represent the normalized first comprehensive noise impact index, the comprehensive experience score index, and the subjective weights of the second comprehensive noise impact index, respectively. , , They represent the objective weights of the normalized first comprehensive noise impact index, the comprehensive experience score index, and the second comprehensive noise impact index, respectively. represents the Euclidean norm.
[0053] In this embodiment, , , .
[0054] S55. Based on the optimal weight combination, a noise evaluation model under the construction environment is established to obtain the noise score under the construction environment, namely:
[0055] in, Indicates the noise score in the construction environment. represents the normalized first comprehensive noise impact index, represents the normalized comprehensive experience rating index, Represents the normalized second comprehensive noise impact index.
[0056] S56. The noise impact of the construction environment is divided into five levels, and the noise score level in the construction environment is determined to assess the noise impact of the construction environment. Specifically: like , then the impact of construction noise is minimal and the construction environment is ideal; like , then the impact of construction noise is small and the construction environment is better; like , then the impact of construction noise is moderate, and the construction environment noise should be monitored at all times; like , then the construction noise has a greater impact and noise management is needed; like , then the impact of construction noise is serious and noise management should be carried out immediately.
[0057] like Figure 2 As shown, a noise evaluation system for building construction using the noise evaluation method for building construction comprises: The multi-source data acquisition module is used to collect noise data of construction areas and key areas of concern, psychological state data of construction workers and users in key areas of concern, and construction phase information data of construction areas.
[0058] In this embodiment, by integrating multiple data sources, the noise data, psychological state data, and construction stage information data of the construction area and the key focus area are comprehensively collected, so as to facilitate data preprocessing in the subsequent steps and provide high-quality input data for the noise evaluation model. Among them, the key focus area is the area around the construction area, including residents, schools, and hospitals; secondly, when collecting psychological state data, it is necessary to collect not only the psychological state data of users in the key focus area, but also the psychological state data of construction workers, because excessive noise will not only affect the life and psychological state of surrounding users, but also the physical and psychological state of on-site construction workers.
[0059] The data analysis and processing module is used to analyze and process the noise data of the construction area and the key focus area, the psychological state data of the construction workers and users in the key focus area, and the construction stage information data of the construction area, and to establish a noise evaluation model under the construction environment.
[0060] In this embodiment, data preprocessing and analysis are performed on the collected multi-source data respectively, and a noise evaluation model based on the multi-source data is established through comprehensive index calculation, so as to evaluate the impact of noise in the construction environment.
[0061] The early warning module is used to obtain the noise score in the construction environment according to the noise evaluation model in the construction environment, so as to evaluate the noise impact of the construction environment and determine whether to take noise reduction measures for noise management.
[0062] Specifically, the specific process of determining whether to take noise reduction measures to conduct noise management is as follows: if the impact of construction noise is large, the construction time and construction machinery will be adjusted, that is, the construction time will be adjusted to a non-sensitive period, low-noise equipment will be selected, or construction machinery will be regularly maintained; if the impact of construction noise is serious, the construction time and construction machinery will be adjusted, and sound insulation and shielding devices will be set up in the construction area.
[0063] In this embodiment, when the noise score in the construction environment is obtained, the noise impact level in the construction environment can be divided, so as to determine whether to manage the noise of the construction environment according to the impact level; wherein, the means of noise management include adjusting the construction time and construction machinery, and setting up sound insulation and shielding devices in the construction area; adjusting the construction time can be to avoid high-noise operations during sensitive periods (such as nighttime and holidays), or to arrange high-noise operations during the day or non-sensitive periods; adjusting the construction machinery can be to select low-noise equipment (such as low-noise excavators, low-noise concrete mixers, etc.), or regularly maintain the construction machinery to ensure that it is in good operating condition and reduce noise generation; setting up sound insulation and shielding devices in the construction area, that is, setting up sound insulation barriers at the construction site to reduce noise propagation, or setting up sound insulation walls or sound insulation panels around the construction area.
[0064] In summary, the noise evaluation method and system for building construction proposed in the present invention firstly collects multi-source data such as noise data, psychological state data, construction stage information data, and performs data analysis and processing to generate noise impact indicators focusing on the construction area and the surrounding areas of the construction area, experience rating indicators of users and construction workers in the construction environment, and noise impact indicators of the construction stage on the construction environment. These indicators accurately reflect the degree of noise impact in different areas under the construction environment, and at the same time supplement the noise evaluation dimension from the perspective of construction and users, and reveal the relationship between different construction stages and noise impact; secondly, the comprehensive weighting method of game theory is used to allocate weights to establish a construction The noise evaluation model in the environment is used to obtain the noise score in the construction environment to evaluate the noise impact of the construction environment and conduct noise management, which greatly improves the scientific nature of the evaluation model. Compared with the traditional method, the present invention significantly improves the comprehensiveness of the noise evaluation data, ensuring that the noise problem is considered from multiple key levels; it greatly improves the accuracy of noise evaluation, avoiding evaluation deviations caused by one-sided data or unreasonable weights; at the same time, with a complete data collection and analysis system, it can more properly manage the noise data generated by construction, provide strong guarantees for optimizing the construction environment and reducing noise interference, and effectively improve the overall level of construction noise management.
[0065] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.
[0066] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and should be understood that the protection scope of the present invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific variations and combinations that do not deviate from the essence of the present invention based on the technical revelations disclosed by the present invention, and these variations and combinations are still within the protection scope of the present invention.
Claims
1. A noise evaluation method for building construction, characterized in that: The following steps are involved: S1. Obtain the noise monitoring area and divide the noise monitoring area into construction areas and key areas of concern; S2. When construction is being carried out in the construction area, noise data of the construction area and the key focus area are respectively collected and normalized, and based on the normalized noise data of the construction area and the key focus area, a first comprehensive noise impact index under the construction environment is calculated; S3. When construction is underway in a construction area, the psychological state of the construction workers and users in key areas is investigated and counted, and a construction worker and user experience scoring model for the construction environment is established to calculate the comprehensive experience scoring index under the construction environment; S4. When construction is being carried out in the construction area, the construction phase information data of the construction area is collected, and the construction phase information data is uniquely encoded. At the same time, according to the importance of the construction phase information data on the noise, the noise impact coefficient of the construction phase information data is established, and the second comprehensive noise impact index under the construction environment is calculated; Among them, the construction phase information data includes the construction phase, construction time, and construction machinery information; S5. After normalizing the first comprehensive noise impact index, the comprehensive experience score index and the second comprehensive noise impact index, the comprehensive weighting method of game theory is used to allocate weights. By establishing a noise evaluation model under the construction environment, the noise score under the construction environment is obtained to evaluate the noise impact of the construction environment.
2. The construction noise evaluation method according to claim 1, characterized in that: The focus area in step S1 is the area surrounding the construction area, including residential areas, schools and hospitals.
3. The construction noise evaluation method according to claim 2, characterized in that: Step S2 specifically includes: S21, respectively, uniformly gridding the construction area and the key focus area to generate a construction area grid and a key focus area grid; S22, every Noise intensity sensors are installed in each construction area grid. When construction is in progress in the construction area, noise data of the construction area is collected, namely: in, represents the noise data set of the construction area, Indicates Line Column noise data for construction area grids, , Respectively represent the total number of rows and columns of the building construction area grid, , Respectively represent Line The center of the column building construction area grid, Represents the noise intensity data at the center of the grid in the construction area; S23. When construction is underway in a construction area, a noise intensity sensor is installed in each key area grid to collect noise data in the key area, namely: in, A noise data group representing the area of focus, Indicates Line The columns focus on the noise data of the regional grid. , Respectively represent the total number of rows and columns of the focus area grid, , Respectively represent Line Column focuses on the center of the area grid, Indicates that the noise intensity data at the center of the regional grid is focused; S24, respectively normalizing the noise data of the construction area and the noise data of the key focus area to obtain normalized noise data of the construction area and the key focus area; S25. Based on the normalized noise data of the construction area and the key focus area, calculate the first comprehensive noise impact index under the construction environment, namely: in, It represents the first comprehensive noise impact index in the construction environment. Represents the total number of noise intensity sensors installed in the construction area, Indicates the number of installed noise intensity sensors. The noise intensity of the construction area grid, Indicates the total number of noise intensity sensors installed in the focus area, Indicates the number of installed noise intensity sensors. The noise intensity of the grid in the focus area, Indicates a rounding operation.
4. The construction noise evaluation method according to claim 3, characterized in that: Step S3 specifically includes: S31. When construction is being carried out in a construction area, a psychological state survey and statistics are conducted on the construction workers in the construction area, including stress perception, concentration, emotional state, and mental health, to obtain the psychological state results of the construction workers; S32. When construction is being carried out in a construction area, a psychological status survey and statistics are conducted on users in the key focus area, including noise sensitivity, life satisfaction, emotional state, and mental health, to obtain the psychological status results of the users; S33, respectively normalize the psychological state results of the construction workers and the psychological state results of the users, and establish a construction worker and user experience scoring model for the construction environment, namely: in, It indicates the construction workers’ experience rating of the construction environment. It represents the user's experience rating of the construction environment. , , , , , They represent the weights of stress perception score, concentration score, emotional state score, mental health score, noise sensitivity score, and life satisfaction score, respectively. , , , , , They represent the normalized stress perception score, concentration score, emotional state score, mental health score, noise sensitivity score, and life satisfaction score respectively; S34, assign equal weights to the experience scores of the construction workers and users on the construction environment, and calculate the comprehensive experience score index under the construction environment, namely: in, It represents the comprehensive experience rating index in the construction environment. , They respectively represent the weights of the construction workers’ and users’ experience scores on the construction environment.
5. The construction noise evaluation method according to claim 4, characterized in that: Step S4 specifically includes: S41. When construction is being carried out in the construction area, collect construction phase information data of the construction area including construction phase, construction time, and construction machinery information; S42, classifying and coding the construction stages into types including foundation construction, structural construction and decoration construction, and obtaining unique hot codes of different construction types; S43, dividing the construction time into time periods including working days, nights, and holidays and encoding them to obtain unique hot codes for different construction time periods; S44, classifying and encoding the construction machinery information to obtain unique hot codes of different construction machinery; S45. According to the construction type, construction time period and the importance of the impact of construction machinery on noise, establish the noise impact coefficients of different construction types, different construction time periods and different construction machinery, and calculate the noise impact index of the construction stage, construction time and construction machinery information, namely: in, Indicates the noise impact index during the construction phase, Indicates the total number of construction types, Indicates Noise impact coefficient of each construction type, Indicates One-hot encoded values of construction types, Indicates the noise impact index during construction time, Indicates the total number of construction time periods, Indicates The noise impact coefficient of each construction period, Indicates The one-hot encoding value of each construction period, Indicates the noise impact index of construction machinery information, Represents the total number of construction machinery types, Indicates Noise impact coefficient of various construction machinery, Indicates The coding value of the construction machinery; S46. Based on the noise impact index of the construction stage, construction time and construction machinery information, the analytic hierarchy process is used to allocate weights and calculate the second comprehensive noise impact index under the construction environment, namely: in, It represents the second comprehensive noise impact index in the construction environment. , , They respectively represent the weights of the noise impact index of the construction stage, construction time and construction machinery information.
6. The construction noise evaluation method according to claim 5, characterized in that: Step S5 specifically includes: S51, respectively normalizing the first comprehensive noise impact index, the comprehensive experience scoring index, and the second comprehensive noise impact index to obtain a normalized first comprehensive noise impact index, a comprehensive experience scoring index, and a second comprehensive noise impact index; S52, based on the normalized first comprehensive noise impact index, the comprehensive experience scoring index and the second comprehensive noise impact index, using the analytic hierarchy process to calculate the subjective weights of the normalized first comprehensive noise impact index, the comprehensive experience scoring index and the second comprehensive noise impact index; S53. Based on the normalized first comprehensive noise impact index, the comprehensive experience scoring index, and the second comprehensive noise impact index, an entropy weight method is used to calculate the objective weights of the normalized first comprehensive noise impact index, the comprehensive experience scoring index, and the second comprehensive noise impact index; S54. Based on the normalized first comprehensive noise impact index, the comprehensive experience rating index, and the subjective weight and objective weight of the second comprehensive noise impact index, a game model based on the subjective weight and the objective weight is established and solved to obtain the optimal weight combination, namely: in, represents a game model based on subjective weight and objective weight, Indicates taking the minimum value, represents the optimal weight combination, represents the subjective weight combination, represents the objective weight combination, , , They represent the optimal weights of the normalized first comprehensive noise impact index, the comprehensive experience score index, and the second comprehensive noise impact index, respectively. , , They represent the normalized first comprehensive noise impact index, the comprehensive experience score index, and the subjective weights of the second comprehensive noise impact index, respectively. , , They represent the objective weights of the normalized first comprehensive noise impact index, the comprehensive experience score index, and the second comprehensive noise impact index, respectively. represents the Euclidean norm; S55. Based on the optimal weight combination, a noise evaluation model under the construction environment is established to obtain the noise score under the construction environment, namely: in, Indicates the noise score in the construction environment. represents the normalized first comprehensive noise impact index, represents the normalized comprehensive experience rating index, represents the normalized second comprehensive noise impact index; S56. The noise impact of the construction environment is divided into five levels, and the noise score level in the construction environment is determined to assess the noise impact of the construction environment. Specifically: like , then the impact of construction noise is minimal and the construction environment is ideal; like , then the impact of construction noise is small and the construction environment is better; like , then the impact of construction noise is moderate, and the construction environment noise should be monitored at all times; like , then the construction noise has a greater impact and noise management is needed; like , then the impact of construction noise is serious and noise management should be carried out immediately.
7. A noise evaluation system for construction, characterized in that: The noise evaluation method for building construction as claimed in any one of claims 1 to 5 comprises: Multi-source data collection module, used to collect noise data of construction areas and key focus areas, psychological state data of construction workers and users in key focus areas, and construction stage information data of construction areas; The data analysis and processing module is used to analyze and process the noise data of the construction area and the key focus area, the psychological state data of the construction workers and the users in the key focus area, and the construction stage information data of the construction area, and establish a noise evaluation model under the construction environment; The early warning module is used to obtain the noise score in the construction environment according to the noise evaluation model in the construction environment, so as to evaluate the noise impact of the construction environment and determine whether to take noise reduction measures for noise management.
8. The construction noise evaluation system according to claim 7, characterized in that: The specific process of determining whether to take noise reduction measures for noise management is as follows: If the impact of construction noise is significant, the construction time and construction machinery should be adjusted, that is, the construction time should be adjusted to a non-sensitive period, low-noise equipment should be selected, or construction machinery should be regularly maintained; If the impact of construction noise is serious, the construction time and construction machinery will be adjusted, and sound insulation and shielding devices will be installed in the construction area.
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