A construction noise early warning method and system

Abstract

The embodiment of the specification provides a construction noise early warning method and system, the method comprises: acquiring noise information of a construction site; determining noise source information based on the noise information; acquiring a noise threshold interval and construction task information of a first user; determining a noise simulation value of a construction position based on the noise source information and the construction task information; determining early warning information based on the noise threshold interval and the noise simulation value, and sending the early warning information to the user, wherein the determination of the early warning information comprises: determining whether all of the at least one noise source exist corresponding target construction tasks based on the positioning information of the at least one noise source; in response to the at least one noise source having a noise source that does not exist corresponding target construction task, designating the noise source as an invalid noise source; determining the early warning information based on the noise source information of the invalid noise source, and sending the early warning information to the second user.

Description

[0001] Case Analysis

[0002] This application is a divisional application of Chinese application filed on August 20, 2024, with application number 202411139543.1 and entitled "A Construction Noise Early Warning Method and System". Technical Field

[0003] This manual relates to the field of construction management, and in particular to a construction noise early warning method and system. Background Technology

[0004] Noise pollution is difficult to avoid in the construction industry. Construction sites typically contain various noise sources, such as machinery, tools, and traffic noise, and the resulting high levels of noise can persist. Prolonged exposure to such working conditions can pose safety hazards, including hearing damage. Conventional noise monitoring methods can only detect and alert about ambient noise levels; they cannot provide personalized analysis, warnings, or recommendations based on each worker's physiological condition, work situation, and noise exposure.

[0005] Therefore, it is desirable to provide a construction noise early warning method and system to achieve comprehensive, accurate, and efficient noise risk management. Summary of the Invention

[0006] This specification provides one or more embodiments of a construction noise early warning method, the method comprising: acquiring noise information of a construction site; determining noise source information based on the noise information, the noise source information including at least one of the following: location information of at least one noise source and noise intensity; acquiring a noise threshold range and construction task information of a first user, the construction task information including at least the construction location; determining a simulated noise value of the construction location based on the noise source information and the construction task information; determining early warning information based on the noise threshold range and the simulated noise value, and sending the early warning information to a user, the user including at least one of the first user and a second user, wherein determining the early warning information and sending the early warning information to the user comprises: determining, based on the location information of the at least one noise source, whether all at least one noise source has a corresponding target construction task; in response to a noise source among the at least one noise source that does not have a corresponding target construction task, designating the noise source as an invalid noise source; and determining the early warning information based on the noise source information of the invalid noise source, and sending the early warning information to the second user.

[0007] In some embodiments, obtaining the noise threshold range of the first user includes: obtaining the physiological information of the first user; and determining the noise threshold range based on the physiological information.

[0008] In some embodiments, the construction task information further includes the construction task status, which includes pending execution, in execution, or completed execution.

[0009] In some embodiments, the construction task status is "to be executed", the physiological information is the first user's recent physiological information, and sending the warning information to the user includes sending the warning information to the first user before the first user enters the construction site.

[0010] In some embodiments, the method further includes: in response to the warning information dissuading the first user from performing the construction task, instructing the turnstiles at the construction site to prohibit the first user from passing through.

[0011] In some embodiments, the method further includes: in response to the warning information being used to dissuade the first user from performing a construction task, sending a task change menu to the first user, the task change menu including a recommended task list, wherein generating the recommended task list includes: determining candidate construction areas for the first user based on the noise threshold range of the first user; obtaining job information of the first user; and determining the recommended task list based on the job information and the candidate construction areas.

[0012] In some embodiments, the construction task status is "in execution" and the physiological information is the current physiological information of the first user.

[0013] In some embodiments, when the construction task status is "after execution", sending the warning information to the user includes: obtaining the noise exposure information of the first user; determining the hearing damage risk information of the first user based on the noise exposure information; and determining the warning information based on the hearing damage risk information and sending the warning information to the user.

[0014] In some embodiments, the noise information includes noise information from multiple spatial points within the construction site, and determining the noise source information based on the noise information includes: determining the noise source information based on the noise information from the multiple spatial points.

[0015] This specification provides one or more embodiments of a construction noise early warning system, the system comprising: a first acquisition module configured to acquire noise information of a construction site; a first determination module configured to determine noise source information based on the noise information, the noise source information including at least one of the following: location information of at least one noise source and noise intensity; a second acquisition module configured to acquire a noise threshold range and construction task information of a first user, the construction task information including at least a construction location; a second determination module configured to determine a simulated noise value of the construction location based on the noise source information and the construction task information; and an early warning module configured to determine early warning information based on the noise threshold range and the simulated noise value, and send the early warning information to a user, the user including at least one of the first user and a second user, wherein determining the early warning information and sending the early warning information to the user includes: determining, based on the location information of the at least one noise source, whether each of the at least one noise source has a corresponding target construction task; in response to a noise source among the at least one noise source that does not have a corresponding target construction task, designating the noise source as an invalid noise source; and determining the early warning information based on the noise source information of the invalid noise source, and sending the early warning information to the second user. Attached Figure Description

[0016] This specification will be further described by way of exemplary embodiments, which will be described in detail with reference to the accompanying drawings. These embodiments are not limiting; in these embodiments, the same reference numerals denote the same structures, wherein:

[0017] Figure 1 This is a schematic diagram illustrating an exemplary construction noise early warning system based on some embodiments of this specification;

[0018] Figure 2 This is a block diagram of an exemplary construction noise early warning system according to some embodiments of this specification;

[0019] Figure 3 This is a flowchart illustrating an exemplary construction noise early warning method according to some embodiments of this specification;

[0020] Figure 4 This is a schematic diagram of an exemplary construction noise early warning method according to some embodiments of this specification;

[0021] Figure 5 This is a schematic diagram illustrating the exemplary determination of simulated noise values ​​according to some embodiments of this specification. Detailed Implementation

[0022] To more clearly illustrate the technical solutions of the embodiments in this specification, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are merely some examples or embodiments of this specification. For those skilled in the art, these drawings can be applied to other similar scenarios without creative effort. Unless obvious from the context or otherwise specified, the same reference numerals in the drawings represent the same structures or operations.

[0023] It should be understood that the terms “system,” “device,” “unit,” and / or “module” used herein are one way to distinguish different components, elements, parts, sections, or assemblies at different levels. However, if other terms can achieve the same purpose, they may be replaced by other expressions.

[0024] As indicated in this specification and claims, unless the context clearly indicates otherwise, the words "a," "an," "an," and / or "the" do not specifically refer to the singular and may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of expressly identified steps and elements, which do not constitute an exclusive list, and the method or apparatus may also include other steps or elements.

[0025] Flowcharts are used in this specification to illustrate the operations performed by the system according to embodiments of this specification. It should be understood that the preceding or following operations are not necessarily performed in exact order. Instead, the steps can be processed in reverse order or simultaneously. Furthermore, other operations can be added to these processes, or one or more steps can be removed from them.

[0026] Figure 1 These are schematic diagrams illustrating application scenarios of exemplary construction noise early warning systems according to some embodiments of this specification. For example... Figure 1 As shown, the construction noise early warning system 100 may include a storage device 110, a processing device 120, a terminal 130, a network 140, and a sensing device 150.

[0027] Storage device 110 can store data or information. In some embodiments, storage device 110 can store noise-related data and / or information at the construction site, such as noise information, construction task information, etc. In some embodiments, storage device 110 can store data and / or information processed by processing device 120, such as noise source information, simulated noise values, etc. Storage device 110 may include one or more storage components, each of which may be a separate device or part of other devices. Storage device can be local or implemented via the cloud.

[0028] The processing device 120 can process data and / or information obtained from other devices or system components, and execute the construction noise early warning method shown in some embodiments of this specification based on this data, information, and / or processing results to perform one or more functions described in some embodiments of this specification. For example, the processing device 120 can determine noise source information based on noise information. As another example, the processing device 120 can determine a simulated noise value at a construction location based on noise source information and construction task information. In some embodiments, the processing device 120 can retrieve pre-stored data and / or information, such as noise information and construction task information, from the storage device 110 for use in executing the construction noise early warning method shown in some embodiments of this specification.

[0029] In some embodiments, the processing device 120 may include one or more sub-processing devices (e.g., a single-core processing device or a multi-core multi-chip processing device). By way of example only, the processing device 120 may include a central processing unit (CPU), a graphics processing unit (GPU), a reduced instruction set computer (RISC), a microprocessor, or any combination thereof.

[0030] Terminal 130 can interact with the user. The user can issue operation commands to processing device 120 through terminal 130 to cause processing device 120 to complete specified operations, such as generating warning information. In some embodiments, terminal 130 can receive generated warning information from processing device 120, and the user can implement noise protection measures accordingly. In some embodiments, terminal 130 can be one or any combination of mobile device 130-1, tablet computer 130-2, laptop computer 130-3, desktop computer, and other devices with input and / or output functions.

[0031] Network 140 can connect the various components of the system and / or connect the system to external resources. Network 140 enables communication between the components and with other parts outside the system, facilitating the exchange of data and / or information. In some embodiments, one or more components of the construction noise warning system 100 (e.g., storage device 110, processing device 120, terminal 130, sensing device 150) can send data and / or information to other components via network 140. In some embodiments, network 140 can be any one or more of a wired network or a wireless network.

[0032] The sensing device 150 can collect information and convert it into electrical signals or other required forms of information, transmitting it to other components in the construction noise early warning system 100 to achieve information acquisition, processing, storage, recording, and control. In some embodiments, the sensing device 150 can acquire noise-related data and / or information from the construction site, such as noise information, construction task information, etc., and transmit it to the storage device 110, processing device 120, etc., for storage, processing, etc. In some embodiments, the sensing device 150 can be a sound sensing device, etc. More information about the sensing device 150 can be found in [link to relevant documentation]. Figure 3 And its related descriptions.

[0033] It should be noted that the above description is provided for illustrative purposes only and is not intended to limit the scope of this specification. Various changes and modifications can be made by those skilled in the art based on the content of this specification. Features, structures, methods, and other features of the exemplary embodiments described herein can be combined in various ways to obtain other and / or alternative exemplary embodiments. For example, the processing device 120 may be based on a cloud computing platform, such as a public cloud, private cloud, community cloud, and hybrid cloud. However, these changes and modifications will not depart from the scope of this specification.

[0034] Figure 2 This is a schematic diagram of an exemplary construction noise early warning system according to some embodiments of this specification. In some embodiments, the construction noise early warning system 200 may include a first acquisition module 210, a first determination module 220, a second acquisition module 230, a second determination module 240, and an early warning module 250. In some embodiments, each module in the construction noise early warning system 200 may be implemented by a processing device 120.

[0035] In some embodiments, the first acquisition module 210 can be used to acquire noise information of the construction site. For more information on how to acquire noise information of the construction site, please refer to the description of step 310.

[0036] In some embodiments, the first determining module 220 can be used to determine noise source information based on noise information, wherein the noise source information includes at least one of the following: location information of at least one noise source and the intensity of the emitted noise. For more details on how to determine the noise source information, please refer to the description of step 320.

[0037] In some embodiments, the second acquisition module 230 can be used to acquire the noise threshold range and construction task information of the first user, wherein the construction task information includes at least the construction location. For more details on how to acquire the noise threshold range and construction task information of the first user, please refer to the description of step 330.

[0038] In some embodiments, the second determining module 240 can be used to determine the simulated noise value of the construction location based on noise source information and construction task information. For more information on how to determine the simulated noise value of the construction location, please refer to the description of step 340.

[0039] In some embodiments, the warning module 250 can be used to determine warning information based on a noise threshold range and a simulated noise value, and send the warning information to a user, including at least one of a first user and a second user. For more details on how the warning information is determined and sent to the user, please refer to the description of step 350.

[0040] In some embodiments, two or more modules in the construction noise early warning system 200 can be combined into one module, which can perform the functions of the two or more modules. For example, the first acquisition module 210 and the second acquisition module 230 can be combined into one module, which can be used to acquire noise information of the construction site and acquire the noise threshold range and construction task information of the first user. As another example, the first determination module 220 and the second determination module 240 can be combined into one module, which can be used to determine noise source information based on the noise information and to determine the simulated noise value of the construction location based on the noise source information and the construction task information. In some embodiments, one or more modules in the construction noise early warning system 200 can be deleted, or one or more modules can be added to the construction noise early warning system 200.

[0041] Figure 3 This is a flowchart illustrating an exemplary construction noise early warning method according to some embodiments of this specification. For example... Figure 3 As shown, process 300 includes the following steps. In some embodiments, process 300 may be executed by processing device 120.

[0042] Step 310: Obtain noise information from the construction site. In some embodiments, step 310 may be performed by the first acquisition module 210.

[0043] A construction site refers to the space where construction work is carried out. For example, a construction site could be residential area A, airport B, or room D in building C. Noise information refers to information related to the noise generated during construction. For example, noise information may include the noise's sound signal, noise level, noise frequency, and noise duration.

[0044] In some embodiments, the processing device 120 can acquire noise information in various ways. For example, the processing device 120 can acquire noise information by acquiring user input information. Specifically, the processing device 120 can acquire noise information such as noise audio information input by the user. Another example is that the processing device 120 can acquire noise information through a sound sensing device. A sound sensing device refers to a sensing device that acquires sound-related information. In some embodiments, the sound sensing device can be a sensor that collects sound at a fixed location on the construction site. In some embodiments, the sound sensing device can be a sensor that collects sound built into the terminal 130. For example, a microphone built into a smartphone. In some embodiments, the sound sensing device can be an independent sound sensor. For example, a microphone array using Micro-Electro-Mechanical System (MEMS) technology. In some embodiments, the sound sensing device can be used independently or in combination. For example, a MEMS microphone array can be used independently at a fixed location on the construction site or connected to a smartphone for combined use. In some embodiments, there can be one or more sound sensing devices. For example, a MEMS microphone array can consist of multiple microphone units, with different microphone units corresponding to acquire noise information of different frequencies.

[0045] In some embodiments, the sound sensing device can preprocess the acquired noise information. For example, a MEMS microphone array can use calibration and verification algorithms to correct and compensate for the acquired noise signal, thereby eliminating noise and distortion inherent in the sound sensing device itself. As another example, a smartphone's built-in microphone can convert the noise sound signal collected by the microphone into a digital signal via an application, facilitating the transmission and analysis of noise information. This digital signal may include sound power level information for subsequent calculations such as sound pressure level; it may also include a timestamp for constructing a noise sequence based on the acquisition time of the sound signal.

[0046] In some embodiments, preprocessing may include data transmission assurance processing, data acquisition and integration processing, and data cleaning processing. Data transmission assurance processing refers to methods used to ensure the normal transmission of noise information. For example, data transmission assurance processing may employ Wireless Sensor Network (WSN) technology, connecting nodes of the sound sensing device via wireless communication protocols (such as Zigbee, LoRa, etc.) to achieve real-time data transmission and collaborative operation. Another example is using network topology optimization algorithms to optimize the network structure based on the node location and communication range of the sound sensing device, improving the reliability and efficiency of data transmission. Yet another example is that data transmission assurance processing may involve the sound sensing device transmitting data to an upstream server via a network for centralized storage, processing, and management, ensuring data integrity and security. Data acquisition and integration processing refers to methods for collecting and integrating noise information. For example, data acquisition and integration processing may involve continuously collecting noise information based on preset parameters (e.g., sampling frequency, duration, etc.) and converting it into digital data for storage and transmission. Yet another example is that during noise information collection, calibration and verification algorithms may be used to correct and compensate for noise information to eliminate noise and distortion inherent in the sound sensing device itself. For example, data acquisition and integration processing can utilize time synchronization technology to ensure that noise information collected by nodes of sound sensing devices has a consistent time stamp, facilitating subsequent data integration and analysis. Data cleaning processing refers to the methods of correcting and optimizing noise information. For example, data cleaning processing can perform spectral analysis on the collected noise information to understand the noise characteristics in different frequency ranges and the potential harm to hearing. Another example is using filtering algorithms to denoise and reduce spurious interference in the raw noise data, improving the quality and accuracy of the noise signal. Yet another example is using time-frequency analysis methods (such as short-time Fourier transform or wavelet transform) to convert noise information into a time-frequency domain representation, extracting the frequency components, energy distribution, and time-varying characteristics of the noise.

[0047] Step 320: Determine noise source information based on noise information. In some embodiments, step 320 may be performed by the first determining module 220.

[0048] Noise source information refers to information related to a noise source. A noise source is the origin of noise. For example, a noise source could be construction equipment E, a transport vehicle F, etc. In some embodiments, noise source information may include at least one of the following: location information of at least one noise source and the intensity of emitted noise. Location information refers to information related to the location of the noise source. For example, the geodetic coordinates of the noise source. Emitted noise intensity refers to a parameter characterizing the strength of the noise. For example, the sound pressure level of the noise source.

[0049] In some embodiments, the processing device 120 can determine noise source information based on noise information using a preset algorithm, machine learning model, or the like. The preset algorithm can be set based on verification or requirements.

[0050] For example, the preset algorithm could be the Time Difference of Arrival (TDOA) positioning method. The input information for the TDOA positioning method can be noise information from multiple locations, carrying timestamps, acquired by sound sensing devices; the output information can be the spatial coordinates of the noise source. Understandably, the input information can be acquired by multiple sound sensing devices located at different heights, angles, and positions within the construction site. The TDOA positioning method can be implemented through the following steps:

[0051] Step 1: Calculate the time difference. Processing device 120 can calculate the time difference between the reception of noise information between any two sound sensing devices. For example, for N sound sensing devices, processing device 120 can calculate N(N-1) / 2 time difference values.

[0052] Step two: Calculate the location coordinates of the noise source. Processing device 120 can calculate and determine the location coordinates of the noise source based on the time difference of sound wave propagation in space, using the principle of triangulation. For example, if the location coordinates of the noise source are (x, y, z), the coordinates of the i-th sound sensor device are (x, y, z). i y i , z i If the distance between the i-th sound sensing device and the noise source is expressed by formula (1):

[0053]

[0054] Where, d i x represents the distance between the i-th sound sensor and the noise source. i y i z i Let x, y, and z represent the x, y, and z coordinates of the i-th sound sensor, respectively, and let z represent the x, y, and z coordinates of the noise source, respectively.

[0055] The time difference is expressed by formula (2):

[0056]

[0057] Where, Δt iLet di represent the time difference between the i-th sound sensor and the first sound sensor receiving the sound wave, d1 represent the distance between the i-th sound sensor and the noise source, and c represent the speed of sound propagation. Substituting each time difference into formula (1), we obtain the system of equations and solve for the values ​​of (x, y, z) to determine the location coordinates of the noise source. It is understandable that if the noise source is distributed in three dimensions in space, a three-dimensional coordinate system can be used for positioning; if the noise source is distributed in two dimensions in space, a two-dimensional planar coordinate system can be used for positioning. This specification does not impose any restrictions on this.

[0058] Step 3: Optimize the results. The processing device 120 can optimize the spatial coordinates of the noise source based on methods such as least squares and Kalman filtering to improve the positioning accuracy.

[0059] For example, the preset algorithm can be a sound energy propagation formula method. The input information for this method can be the spatial coordinates of the noise source and its sound power level, while the output information can be the sound pressure level of the noise source at any location. Understandably, the spatial coordinates of the noise source in the input information can be determined using the TDOA positioning method, and the sound power level information can be obtained from the digital signal processed by the sound signal acquired by the sound sensing device. If the sound sensing device is a built-in sound sensor of terminal 130, it can be directly processed and obtained at terminal 130; if the sound sensing device is an independent sound sensor, it can be uploaded to the processing device 120 via network 140 for processing and acquisition. The sound energy propagation formula method can be implemented through the following steps:

[0060] Step 1: Calculate the sound pressure level of the noise source at any location. The processing device 120 can calculate and determine the sound pressure level of the noise source at any location according to the sound energy propagation formula. For example, the sound energy propagation formula can be expressed as formula (3):

[0061] L p =L w -20log(r)-11 (3),

[0062] Among them, L p L represents the sound pressure level at a specific location of a noise source. w The noise source is represented by its sound power level, and r represents the distance from the noise source to that location.

[0063] Step 2: If multiple noise sources exist, calculate the total sound pressure level at any location. The processing device 120 can calculate the total sound pressure level at any location by adding energy, as shown in formula (4):

[0064]

[0065] Among them, L p ’This represents the total sound pressure level of all noise sources at a given location, where n represents the number of noise sources. Let represent the sound pressure level of the i-th noise source at that location, which can be calculated based on formula (3). Understandably, if the noise sources are distributed in three dimensions in space, a three-dimensional coordinate system can be established to calculate the sound pressure level of each noise source at that location and determine the total sound pressure level.

[0066] Step 3: Optimize the results. Processing device 120 can consider the directivity characteristics of the noise source and add a directivity correction factor when calculating the sound pressure level. If environmental obstructions exist, processing device 120 can also introduce attenuation coefficients to reduce the impact of obstruction, such as walls in the longitudinal and lateral spaces. Processing device 120 can also use methods such as Monte Carlo simulation to optimize and correct the calculation results, improving calculation accuracy.

[0067] In some embodiments, noise information may include noise information from multiple spatial points within the construction site.

[0068] Multiple spatial points refer to multiple points within a public space. For example, multiple spatial points can be (x1, y1, z1), (x2, y2, z2), ..., (x... n y n , z n ), where x, y, and z represent the longitude, latitude, and altitude of multiple spatial points, respectively. In some embodiments, the multiple spatial points can be multiple fixed spatial points or multiple mobile spatial points. For example, the multiple spatial points can be multiple spatial points where sound sensing devices are fixedly installed. Another example is that the multiple spatial points can be the spatial points corresponding to multiple user-carried mobile sound sensing devices acquiring noise information.

[0069] In some embodiments, the processing device 120 can acquire noise information from multiple spatial points in various ways. In some embodiments, the processing device 120 can determine noise source information based on the noise information from multiple spatial points using preset algorithms, machine learning models, etc. Specific methods can be found in the foregoing description.

[0070] In some embodiments of this specification, by setting noise information to include noise information from multiple spatial points within the construction site, and by determining noise source information based on the noise information from multiple spatial points, as much noise data as possible can be obtained. Calculation and analysis through a large number of data samples helps to determine more accurate noise source information and avoids errors caused by determining information through a single data sample.

[0071] Step 330: Obtain the noise threshold range and construction task information of the first user. In some embodiments, step 330 may be performed by the second acquisition module 230.

[0072] The first user refers to the person performing the construction task, such as a worker. The noise threshold range refers to a range consisting of different noise values. For example, the noise threshold range can be (a, b), (b, c), etc., where a, b, and c represent different noise thresholds. In some embodiments, the noise threshold range can include multiple decibel ranges that have different degrees of impact on the health of the first user. For example, the noise threshold range can be (a, b), (b, c), (c, d), (d, e), where a, b, c, d, and e represent noise thresholds from low to high decibels. (a, b) has no impact on the health of the first user A, (b, c) has a slight impact on the health of the first user A, (c, d) has a moderate impact on the health of the first user A, and (d, e) has a severe impact on the health of the first user A.

[0073] In some embodiments of this specification, by setting noise threshold ranges including multiple decibel ranges that have different degrees of impact on the health of the first user, a personalized noise range can be set for the first user, which facilitates the implementation of different noise measures for different noise threshold ranges in the future.

[0074] In some embodiments, the processing device 120 may obtain the noise threshold range of the first user through a preset algorithm, machine learning model, etc.

[0075] For example, the processing device 120 can process the first user's health data, work data, etc., based on a noise threshold interval determination model to determine the noise threshold interval. The noise threshold interval determination model can be a machine learning model. The type of noise threshold interval determination model can be various. For example, the noise threshold interval determination model can include a neural network (NN) model, a deep neural network (DNN) model, a convolutional neural network (CNN) model, or any combination thereof. In some embodiments, the input to the noise threshold interval determination model can be the first user's health data and work data, and the output of the shadow area recognition model can be the noise threshold interval. The first user's health data refers to health-related data, such as hearing test values. Work data refers to construction work-related data, such as working hours. The aforementioned data can be obtained based on the user's input of the first user's historical physical examination data, historical work data, etc. In some embodiments, the noise threshold interval determination model can be obtained through training. The processing device 120 can train an initial noise threshold interval determination model based on training samples to determine the noise threshold interval determination model. In some embodiments, the processing device 120 can input training samples into the initial noise threshold interval determination model, establish a loss function based on the labels and the output of the initial noise threshold interval determination model, update the parameters of the initial noise threshold interval determination model, and complete the model training when the loss function of the initial noise threshold interval determination model meets preset conditions, thus determining the noise threshold interval determination model. The preset conditions may include loss function convergence, the number of iterations reaching a threshold, etc. The training samples may be the health data or work data of the first user, which can be obtained through historical data; the labels may be the noise threshold interval of the first user, which can be obtained through manual annotation. In some embodiments, the processing device 120 can obtain the physiological information of the first user to determine the noise threshold interval. More information on determining the noise threshold interval can be found in [reference needed]. Figure 4 And its related descriptions.

[0076] Construction task information refers to information related to the tasks involved in construction operations. For example, construction task information may include construction machinery and equipment, construction processes, and construction time periods. In some embodiments, construction task information may include at least the construction location.

[0077] The construction location refers to the specific location where the first user performs construction, which can be represented by spatial coordinates. In some embodiments, the processing device 120 can acquire construction task information in various ways. For example, the processing device 120 can acquire construction task information by acquiring multiple user input information. Another example is that the processing device 120 can acquire construction task information through internal or external storage devices of the construction noise warning system 200.

[0078] Step 340: Determine the simulated noise value at the construction location based on the noise source information and construction task information. In some embodiments, step 340 may be performed by the second determining module 240.

[0079] The simulated noise value refers to the decibel value of noise at a specific location. In some embodiments, the processing device 120 can calculate the simulated noise value at the construction location based on noise source information and construction task information using a preset algorithm. For details regarding the preset algorithm, please refer to the relevant description of the aforementioned sound energy propagation formula method.

[0080] In some embodiments, the processing device 120 may determine the target construction task corresponding to at least one noise source based on the location information of at least one noise source; obtain the planned construction time of the target construction task; determine whether at least one target noise source is included among the at least one noise source based on the planned construction time and the construction task information of the first user; and, in response to the at least one noise source including at least one target noise source, determine a simulated noise value based on the noise source information of the at least one target noise source. For more information on determining the simulated noise value, please refer to [link to relevant documentation]. Figure 5 And its related descriptions.

[0081] Step 350: Based on the noise threshold range and the simulated noise value, determine the warning information and send the warning information to the user. In some embodiments, step 350 can be performed by the warning module 250.

[0082] Warning information refers to information that provides advance warning of the impact of noise. For example, warning information could include advising a first user to dissuade them from performing construction tasks or prompting them to install soundproofing equipment. In some embodiments, the processing device 120 can determine warning information in various ways based on noise threshold ranges and simulated noise values. For example, the processing device 120 can determine warning information based on noise threshold ranges and simulated noise values ​​using preset conditions. These preset conditions can be set based on experience or needs. For example, preset conditions could include determining no warning information if the simulated noise value is within a noise threshold range that has no impact on the first user's health; prompting the first user to install soundproofing equipment if the simulated noise value has a slight impact on the first user's health; and advising the first user to dissuade them from performing construction tasks if the simulated noise value has a severe impact on the first user's health. Alternatively, the processing device 120 can determine warning information based on noise threshold ranges and simulated noise values ​​using preset algorithms, machine learning models, etc.

[0083] A user refers to someone who uses the construction noise warning system. In some embodiments, a user includes at least one of a first user and a second user. The second user refers to a construction management personnel, such as the manager of the first user.

[0084] In some embodiments, the processing device 120 may send warning information to the user via wired or wireless transmission.

[0085] In some embodiments, the processing device 120 may determine whether at least one noise source has a corresponding target construction task based on the location information of at least one noise source; in response to at least one noise source having no corresponding target construction task, designate the noise source as an invalid noise source; determine warning information based on the noise source information of the invalid noise source, and send the warning information to the second user.

[0086] The target construction task refers to the construction task corresponding to the noise source. For example, the construction task H corresponds to the use of noise-generating equipment G. It is understandable that there is a correspondence between noise sources and target construction tasks. For example, if the noise source is a concrete mixer, and the construction task is concrete laying, which requires the use of a concrete mixer, then concrete laying is the target construction task for that noise source. However, if the construction task is latex paint spraying, which does not require the use of a concrete mixer, then latex paint spraying is not the target construction task for that noise source.

[0087] In some embodiments, the processing device 120 can determine whether at least one noise source has a corresponding target construction task based on the location information of at least one noise source and by querying a preset table. The preset table contains location information of different noise sources and their corresponding construction task information, and the preset table can be determined based on user input or historical data.

[0088] In some embodiments, the processing device 120 can compare whether the location information of the noise source corresponds to construction task information in a preset table. If so, it further compares whether the current time is within the construction time period in the construction task information. If so, it determines that at least one noise source has a corresponding target construction task. If any of the aforementioned conditions are not met, it determines that at least one noise source does not have a corresponding target construction task. By iterating through all noise sources, if at least one noise source does not have a corresponding target construction task, it is determined that at least one noise source does not have a corresponding target construction task.

[0089] Invalid noise sources refer to noise sources generated by abnormal construction operations. For example, noise sources generated by risk accidents or external interference noise sources. In some embodiments, in response to the absence of a corresponding target construction task among at least one noise source, the processing device 120 can directly designate that noise source as an invalid noise source.

[0090] In some embodiments, the processing device 120 may determine a warning message based on noise source information of invalid noise sources using preset rules, and send the warning message to the second user. The preset rules may be set based on experience or needs. For example, the preset rules may be to determine the warning message as sending the location information of the invalid noise source to prompt the user to go for detection in response to noise source information of the existence of invalid noise sources.

[0091] In some embodiments of this specification, by using the location information of at least one noise source, it is determined whether at least one noise source has a corresponding target construction task; in response to the absence of a corresponding target construction task among at least one noise source, the noise source is designated as an invalid noise source; based on the noise source information of the invalid noise source, a warning message is determined and sent to a second user, which can effectively identify whether the noise source is generated by normal construction operations and avoid construction accidents caused by abnormal noise.

[0092] In some embodiments of this specification, by acquiring noise information from the construction site; determining noise source information based on the noise information; acquiring the noise threshold range and construction task information of a first user; determining the simulated noise value at the construction location based on the noise source information and construction task information; and determining early warning information based on the noise threshold range and simulated noise value, and sending the early warning information to the user, it is possible to comprehensively analyze the detected relevant information for each individual construction worker, accurately assess noise risks, determine personalized noise early warning information and suggestions for each worker, and provide a scientific basis for taking corresponding control measures. This achieves comprehensive, effective, and sustainable noise management, avoids health and safety hazards to workers, and ensures the normal progress of construction operations.

[0093] Figure 4 This is a schematic diagram of an exemplary construction noise early warning method according to some embodiments of this specification.

[0094] In some embodiments, the processing device 120 may acquire the physiological information 420 of the first user and determine the noise threshold range 430 based on the physiological information 420.

[0095] Physiological information 420 refers to information related to human activities and functions. For example, physiological information 420 may include heart rate, body temperature, blood pressure, etc. In some embodiments, the processing device 120 can acquire the physiological information 420 of the first user through a sensing device. For example, the processing device 120 can acquire the physiological information 420 of the first user through a portable health monitor, smart bracelet, etc.

[0096] In some embodiments, the processing device 120 can determine the noise threshold range 430 based on physiological information 420 by establishing a regression model or other relevant models. The specific formula used in the model can be set based on experience or requirements. For example, it can be: Noise threshold = constant term + coefficient 1 × heart rate + coefficient 2 × blood pressure + coefficient 3 × body temperature + ... + coefficient n × physiological information 420, where the constant term and coefficients can be set based on experience or requirements.

[0097] In some embodiments, the construction task information may further include a construction task status 410. Construction task status 410 refers to information related to the execution status of the construction task. In some embodiments, construction task status 410 includes pending execution 411, in execution 412, or completed execution 413.

[0098] In some embodiments of this specification, the construction task information also includes a construction task status 410, which includes pending execution 411, execution in progress 412, or execution completed 413, so as to facilitate the subsequent determination of different physiological information and early warning measures based on different construction statuses.

[0099] In some embodiments, the construction task status 410 is pending execution 411, the physiological information 420 can be the first user's recent physiological information 421, and the processing device 120 can send a warning message 460 to the user before the first user enters the construction site.

[0100] Recent physiological information 421 refers to the user's physiological information from the most recent measurement. For example, physiological information determined by the latest routine physical examination, the physiological status recently reported by the worker, and physiological data collected by the sensor last time.

[0101] Understandably, before the construction task is carried out, the processing equipment 120 should assess the physical condition of the first user based on the first user's most recent physiological data, and send a warning message 460 to the first user in advance before the first user enters the construction site, so as to carry out risk warning and corresponding protective measures in advance.

[0102] In some embodiments of this specification, in response to the construction task status 410 being pending execution 411 and the physiological information 420 being the first user's most recent physiological information 421, a warning message 460 is sent to the user before the first user enters the construction site. This allows for the analysis of the worker's health status in advance and timely warnings or suggestions, thus mitigating risks before construction begins.

[0103] In some embodiments, in response to the warning information 460, the gate at the construction site is instructed to prohibit the first user from passing through in order to dissuade the first user from performing the construction task.

[0104] Understandably, turnstiles are installed at the entrances and exits of construction sites to facilitate the management of personnel entering and exiting the site. When warning information 460 indicates a need to dissuade the first user from performing construction tasks, a control command can be directly sent to the turnstiles at the construction site to prohibit the corresponding first user from entering.

[0105] In some embodiments of this specification, in response to the warning information 460, the gate at the construction site is instructed to prohibit the first user from passing through in order to dissuade the first user from performing the construction task. This can prevent workers who are not suitable for carrying out construction work from forcibly entering the construction site and causing safety hazards.

[0106] In some embodiments, in response to the warning information 460, a task change menu is sent to the first user to dissuade the first user from performing the construction task.

[0107] A task change menu refers to the operation page for changing construction tasks. For example, it may include an operation page with multiple construction tasks available for modification. In some embodiments, the task change menu can be generated in various ways. For example, it can be generated based on user input information or historical data stored in a storage device.

[0108] In some embodiments, the task change menu may include a recommended task list. The recommended task list is a list of construction tasks recommended to the user. For example, the recommended task list may include multiple construction tasks recommended for the user to perform. In some embodiments, the processing device 120 may determine candidate construction areas for the first user based on a noise threshold range 430; obtain the first user's job type information; and determine the recommended task list based on the job type information and the candidate construction areas.

[0109] Candidate construction areas refer to construction areas that can be selected. In some embodiments, the processing device 120 can acquire noise information of all construction areas, compare it with the noise threshold range 430 of the first user, and select construction areas whose noise information is within the noise threshold range 430 acceptable to the first user as candidate construction areas.

[0110] Job type information refers to information related to the type of work. For example, the specific job type and the duration of work performed. In some embodiments, the processing device 120 can obtain the job type information of the first user in various ways. For example, the processing device 120 can obtain the job type information of the first user by acquiring user input information. Another example is that the processing device 120 can obtain the information by reading information from the internal or external memory of the construction noise early warning system.

[0111] In some embodiments, the processing device 120 can compare and determine the construction tasks in the candidate construction area that match the job information of the first user, and integrate them as a recommended task list.

[0112] In some embodiments of this specification, by setting a task change menu including a recommended task list, a candidate construction area for the first user is determined based on the first user's noise threshold range 430; the job information of the first user is obtained; and a recommended task list is determined based on the job information and the candidate construction area. This allows for the recommendation of candidate tasks that match the worker's health status and job information when the current task is not suitable for the worker to perform, enabling the worker to select and change tasks, thus avoiding the waste of human resources and ensuring the worker's income.

[0113] In some embodiments, the construction task status 410 is in progress 412, and the physiological information 420 can be the current physiological information 422 of the first user. The current physiological information 422 refers to the physiological information at the current moment. In some embodiments, the processing device 120 can obtain the current physiological information 422 of the first user in real time through a sensing device carried by the first user (e.g., a portable health monitor, a smart bracelet, etc.).

[0114] In some embodiments, the processing device 120 can determine the real-time noise threshold range 430 of the first user based on the first user's current physiological information 422, and then, in conjunction with the simulated noise value at the first user's construction location, determine warning information 460 and send it to the user. For more information on determining warning information 460 based on the noise threshold range 430 and the simulated noise value, please refer to [link to relevant documentation]. Figure 3 And its related descriptions.

[0115] In some embodiments of this specification, by setting the construction task status 410 to in progress 412, the physiological information 420 can be the current physiological information 422 of the first user, which can monitor the user's health status in real time and make timely adjustments.

[0116] In some embodiments, when the construction task status 410 is after execution 413, the processing device 120 can obtain the noise exposure information 440 of the first user; based on the noise exposure information 440, determine the hearing damage risk information 450 of the first user; based on the hearing damage risk information 450, determine the warning information 460, and send the warning information 460 to the user 470.

[0117] Noise exposure information 440 refers to information related to human exposure to noisy environments. Examples include noise exposure time and noise exposure dose. Noise exposure time refers to the duration of human exposure to a noisy environment. Noise exposure dose is a parameter that measures the degree to which a person is exposed to high-noise environments.

[0118] In some embodiments, the processing device 120 may determine noise exposure information 440 by calculation based on noise information and construction task information. For example, the processing device 120 may calculate and determine the noise exposure dose using formula (5):

[0119] Dose = (C1 / T1) + (C2 / T2) + ... + (C n / T n (5),

[0120] Wherein, Dose represents the noise exposure dose, C1-C n T1-T represents the difference between the noise value and the noise threshold at different time periods. n This indicates the noise exposure time for the corresponding period.

[0121] For example, the noise exposure time can be calculated and determined by the treatment device 120 using formula (6):

[0122] Exposure Time=T1+T2+...+T n (6),

[0123] Where Exposure Time represents the noise exposure time, T1-T n This indicates the duration of human exposure to high-noise environments at different times.

[0124] Hearing impairment risk information 450 refers to relevant parameter information characterizing the magnitude of a user's hearing impairment risk. In some embodiments, hearing impairment risk information 450 may include hearing impairment risk levels: a hearing impairment risk level of (0, 85dB) indicates no impairment, [85dB, 90dB) indicates level 1 impairment, [90dB, 95dB) indicates level 2 impairment, [95dB, 100dB) indicates level 3 impairment, and [100dB, +∞) indicates level 4 impairment.

[0125] In some embodiments, the processing device 120 may determine the hearing impairment risk information 450 of the first user by calculation based on the noise exposure information 440. For example, the processing device 120 may determine the hearing impairment risk information 450 of the first user based on the noise exposure information 440 using formula (7):

[0126] Damage Level = 8.75 * log 10 (Dose) + 90 (7),

[0127] Damage Level indicates the risk level of hearing loss.

[0128] In some embodiments, the processing device 120 may determine warning information 460 based on hearing loss risk information 450 and preset rules, and send warning information 460 to the user 470. The preset rules may be set based on experience or needs. For example, the preset rules may be: if the hearing loss risk level is no damage, the warning information 460 will be no warning; if the hearing loss risk level is level one or level two, the warning information 460 will recommend wearing soundproofing devices; if the hearing loss risk level is level three or level four, the warning information 460 will prohibit the user from carrying out construction work, etc.

[0129] In some embodiments of this specification, by setting up a method to obtain noise exposure information of a first user 440; determining hearing damage risk information of the first user 450 based on the noise exposure information 440; determining warning information 460 based on the hearing damage risk information 450; and sending the warning information 460 to the user, potential health hazards of the user after completing the construction task can be determined efficiently and intelligently, and timely adjustments can be made, which helps to maintain the hearing health of workers.

[0130] In some embodiments of this specification, by obtaining the physiological information 420 of the first user and determining the noise threshold range 430 based on the physiological information 420, a noise threshold range 430 that conforms to reality can be determined based on the physical health status of each worker, which is convenient for subsequent construction task arrangement and adjustment.

[0131] Figure 5 This is a schematic diagram illustrating the exemplary determination of a noise simulation value 590 according to some embodiments shown in this specification.

[0132] In some embodiments, the processing device 120 may determine a target construction task 530 corresponding to at least one noise source 510 based on the location information 520 of at least one noise source 510; obtain the planned construction time 540 of the target construction task 530; determine whether at least one target noise source 560 is included among the at least one noise source 510 based on the planned construction time 540 and the construction task information 550 of the first user; and determine a noise simulation value 590 based on the noise source information 570 of the at least one target noise source 560 in response to the at least one noise source 510 including at least one target noise source 560.

[0133] In some embodiments, the processing device 120 may compare the location information 520 of at least one noise source 510 with the location information of all construction tasks. If there is a matching construction task, the construction task is determined to be the target construction task 530 corresponding to at least one noise source 510.

[0134] The planned construction time 540 refers to the time during which the construction task is scheduled to be carried out. For example, the planned construction time 540 for construction task I could be 9:00-16:00. In some embodiments, the processing device 120 can directly obtain the construction task information 550 of the target construction task 530 to determine the planned construction time 540. More information on obtaining the construction task information 550 can be found in [link to relevant documentation]. Figure 3 And its related descriptions.

[0135] A target noise source refers to the noise source that emits noise when the first user performs a construction task. In some embodiments, the processing device 120 can compare the planned construction time 540 of the target construction task 530 with the construction time of the first user. If the construction time of the first user is within the planned construction time 540 of the target construction task 530, then the noise source is a target noise source, meaning that at least one noise source 510 includes at least one target noise source 560. If the construction time of the first user is not within the planned construction time 540 of the target construction task 530, then the noise source is not a target noise source. By iterating through all noise sources, if none of them are target noise sources, then at least one noise source 510 does not include at least one target noise source 560.

[0136] In some embodiments, the processing device 120 may, in response to at least one target noise source 560 being included among at least one noise source 510, determine a noise simulation value 590 based on noise source information 570 of the at least one target noise source 560 using a preset algorithm. The preset algorithm may be determined based on experience or requirements. For example, the preset algorithm may be a sound energy propagation formula method. More information on sound energy propagation formula methods can be found in [link to relevant documentation]. Figure 3 And its related descriptions.

[0137] In some embodiments, the processing device 120 may send a warning message to the user in response to the absence of at least one target noise source 560 among at least one noise source 510, prompting the user to conduct an inspection based on the noise source location information 520, so as to avoid accidents such as equipment damage or worker injury.

[0138] In some embodiments, the processing device 120 can divide the planned construction time 540 of the target construction task 530 corresponding to at least one target noise source 560 into multiple time intervals 580; and determine the noise simulation values ​​590 corresponding to the multiple time intervals 580 based on the noise source information 570 of at least one target noise source 560.

[0139] Understandably, different target noise sources have different emission times, which may result in different time intervals 580 within the planned construction time 540 of the target construction task 530, corresponding to different target noise sources. Emission time refers to the duration at which the target noise source emits noise. In some embodiments, the processing device 120 can directly obtain the emission time of the target noise source based on the construction task information 550.

[0140] In some embodiments, the processing device 120 can divide the planned construction time 540 of the target construction task 530 into multiple time intervals 580 based on the emission time of each target noise source. For example, if the target construction task 5301 corresponds to target noise source 1, target noise source 2, and target noise source 3, and the planned construction time 540 is 09:00-16:00, the emission time of target noise source 1 is 09:00-13:00, the emission time of target noise source 2 is 14:00-15:00, and the emission time of target noise source 3 is 10:00-16:00, then the processing device 120 can divide the planned construction time 540 into five time intervals 580: (09:00-10:00), (10... 09:00-10:00), (13:00-14:00), (14:00-15:00), (15:00-16:00), where, (09:00-10:00) target noise source 1 emits sound; (10:00-13:00) target noise source 1 and target noise source 3 emit sound; (13:00-14:00) target noise source 3 emits sound; (14:00-15:00) target noise source 2 and target noise source 3 emit sound; (15:00-16:00) target noise source 3 emits sound.

[0141] In some embodiments, the processing device 120 can comprehensively calculate and determine the noise simulation values ​​590 corresponding to multiple time intervals 580 based on the noise source information 570 of at least one target noise source 560. For example, if target noise source 1 emits sound (09:00-10:00), then only the noise simulation value 590 from target noise source 1 to the first user's construction location is calculated as the noise simulation value 590 corresponding to that time interval 580; if target noise source 2 and target noise source 3 emit sound (14:00-15:00), then the noise simulation values ​​590 from target noise source 2 to the first user's construction location are calculated respectively, and the sum of the two is used as the noise simulation value 590 corresponding to that time interval 580. For a detailed explanation of how to calculate the noise simulation value 590, please refer to [link to relevant documentation]. Figure 3 And its related descriptions.

[0142] In some embodiments of this specification, the planned construction time 540 of the target construction task 530 corresponding to at least one target noise source 560 is divided into multiple time intervals 580; based on the noise source information 570 of at least one target noise source 560, noise simulation values ​​590 corresponding to multiple time intervals 580 are determined. Specific situations can be analyzed on a case-by-case basis, and multiple noise simulation values ​​for different time periods can be calculated comprehensively based on the noise sources in different time periods to determine more accurate noise simulation values.

[0143] In some embodiments of this specification, a target construction task 530 corresponding to at least one noise source 510 is determined based on the location information 520 of at least one noise source 510; the planned construction time 540 of the target construction task 530 is obtained; based on the planned construction time 540 and the construction task information 550 of the first user, it is determined whether at least one target noise source 560 is included among the at least one noise source 510; in response to the at least one noise source 510 including at least one target noise source 560, a noise simulation value 590 is determined based on the noise source information 570 of at least one target noise source 560. This clarifies the specific construction task to which the noise source belongs, determines whether it conforms to the user's actual construction operation, and facilitates the calculation of a highly accurate noise simulation value 590.

[0144] The basic concepts have been described above. Obviously, for those skilled in the art, the detailed disclosure above is merely illustrative and does not constitute a limitation of this specification. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements, and corrections to this specification. Such modifications, improvements, and corrections are suggested in this specification and therefore remain within the spirit and scope of the exemplary embodiments described herein.

[0145] Furthermore, this specification uses specific terms to describe embodiments thereof. For example, "an embodiment," "one embodiment," and / or "some embodiments" refer to a particular feature, structure, or characteristic associated with at least one embodiment of this specification. Therefore, it should be emphasized and noted that references to "an embodiment," "one embodiment," or "an alternative embodiment" in different locations throughout this specification do not necessarily refer to the same embodiment. Moreover, certain features, structures, or characteristics in one or more embodiments of this specification can be appropriately combined.

[0146] Furthermore, unless expressly stated in the claims, the order of processing elements and sequences, the use of numbers and letters, or other names described in this specification are not intended to limit the order of the processes and methods described herein. Although various examples have been discussed in the foregoing disclosure of some embodiments of the invention that are currently considered useful, it should be understood that such details are for illustrative purposes only, and the appended claims are not limited to the disclosed embodiments; rather, the claims are intended to cover all modifications and equivalent combinations that conform to the spirit and scope of the embodiments described herein. For example, while the system components described above can be implemented using hardware devices, they can also be implemented solely using software solutions, such as installing the described system on existing servers or mobile devices.

[0147] Similarly, it should be noted that, in order to simplify the description disclosed herein and thus aid in the understanding of one or more embodiments of the invention, the foregoing description of embodiments in this specification may sometimes combine multiple features into a single embodiment, drawing, or description thereof. However, this method of disclosure does not imply that the subject matter of this specification requires more features than those mentioned in the claims. In fact, the embodiments contain fewer features than all the features of a single embodiment disclosed above.

[0148] In some embodiments, numbers describing the quantity of components and attributes are used. It should be understood that such numbers used in the description of embodiments are modified in some examples with the terms "approximately," "approximately," or "generally." Unless otherwise stated, "approximately," "approximately," or "generally" indicates that the numbers are allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which may be changed depending on the characteristics required by individual embodiments. In some embodiments, numerical parameters should take into account specified significant digits and employ a general method of digit reservation. Although the numerical ranges and parameters used to confirm their breadth of range in some embodiments of this specification are approximate values, in specific embodiments, such values ​​are set as precisely as feasible.

[0149] For each patent, patent application, patent application publication, and other material, such as articles, books, specifications, publications, and documents, referenced in this specification, the entire contents of which are incorporated herein by reference. This excludes historical application documents that are inconsistent with or conflict with the content of this specification, as well as documents that limit the broadest scope of the claims in this specification (currently or subsequently appended to this specification). It should be noted that in the event of any inconsistency or conflict between the descriptions, definitions, and / or terminology used in the supplementary materials to this specification and the content of this specification, the descriptions, definitions, and / or terminology used in this specification shall prevail.

[0150] Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments described herein. Other variations may also fall within the scope of this specification. Therefore, alternative configurations of the embodiments described herein are intended to be illustrative rather than limiting, and should be considered consistent with the teachings of this specification. Accordingly, the embodiments described herein are not limited to those explicitly introduced and described herein.

Claims

1. A construction noise early warning method, characterized in that, include: Obtain noise information from the construction site; Based on the noise information, noise source information is determined, and the noise source information includes at least one of the following: the location information of at least one noise source and the intensity of the emitted noise. Obtain the noise threshold range and construction task information of the first user, wherein the construction task information includes at least the construction location; The simulated noise value at the construction location is determined based on the noise source information and the construction task information; Based on the noise threshold range and the simulated noise value, a warning message is determined and sent to the user. The user includes a first user and a second user, where the first user is the construction task executor and the second user is the construction management personnel. The determination of the warning message and sending it to the user includes: Based on the location information of the at least one noise source, determine whether each of the at least one noise source has a corresponding target construction task; In response to the fact that none of the at least one noise source corresponds to a target construction task, the noise source is designated as an invalid noise source; and Based on the noise source information of the invalid noise source, the warning information is determined and sent to the second user.

2. The method according to claim 1, characterized in that, The noise threshold range for obtaining the first user includes: Obtain the physiological information of the first user; and Based on the physiological information, the noise threshold range is determined.

3. The method according to claim 2, characterized in that, The construction task information also includes the construction task status, which includes pending execution, in execution, or completed execution.

4. The method according to claim 3, characterized in that, The construction task status is "to be executed", the physiological information is the first user's recent physiological information, and sending the warning information to the user includes sending the warning information to the first user before the first user enters the construction site.

5. The method according to claim 4, characterized in that, The method further includes: In response to the warning information, the gate at the construction site is instructed to prohibit the first user from passing through in order to dissuade the first user from performing the construction task.

6. The method according to claim 4, characterized in that, The method further includes: In response to the warning information, which discourages the first user from performing the construction task, a task change menu is sent to the first user. The task change menu includes a recommended task list, wherein generating the recommended task list includes: Based on the noise threshold range described by the first user, the candidate construction area of ​​the first user is determined; Obtain the job information of the first user; and Based on the job type information and the candidate construction areas, the recommended task list is determined.

7. The method according to claim 3, characterized in that, The construction task status is "in progress", and the physiological information is the current physiological information of the first user.

8. The method according to claim 3, characterized in that, The construction task status is "after execution", and sending the warning information to the user includes: Obtain the noise exposure information of the first user; Based on the noise exposure information, the hearing impairment risk information of the first user is determined; and Based on the hearing loss risk information, the warning information is determined and sent to the user.

9. The method according to claim 1, characterized in that, The noise information includes noise information from multiple spatial points within the construction site, and the step of determining the noise source information based on the noise information includes: Based on the noise information from the multiple spatial points, the noise source information is determined.

10. A construction noise early warning system, characterized in that, include: The first acquisition module is configured to acquire noise information from the construction site; The first determining module is configured to determine noise source information based on the noise information, wherein the noise source information includes at least one of the following: the location information of at least one noise source and the intensity of the emitted noise. The second acquisition module is configured to acquire the noise threshold range and construction task information of the first user, wherein the construction task information includes at least the construction location. The second determining module is configured to determine the simulated noise value at the construction location based on the noise source information and the construction task information; The early warning module is configured to determine early warning information based on the noise threshold range and the simulated noise value, and send the early warning information to a user, wherein the user includes a first user and a second user, the first user being a construction task executor and the second user being a construction management personnel, wherein determining the early warning information and sending the early warning information to the user includes: Based on the location information of the at least one noise source, determine whether each of the at least one noise source has a corresponding target construction task; In response to the fact that none of the at least one noise source corresponds to a target construction task, the noise source is designated as an invalid noise source; and Based on the noise source information of the invalid noise source, the warning information is determined and sent to the second user.

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