A construction noise warning method and system

Abstract

The embodiments of this specification provide a construction noise warning method and system. The method includes: obtaining the noise information of the construction site; determining the noise source information based on the noise information; obtaining the noise threshold range and the construction task information of the first user; determining the noise simulation value of the construction location based on the noise source information and the construction task information, where determining the noise simulation value includes: determining the target construction task corresponding to at least one noise source based on the positioning information of at least one noise source; obtaining the planned construction time of the target construction task; determining whether at least one of the at least one noise source includes at least one target noise source based on the planned construction time and the construction task information of the first user; in response to at least one of the at least one noise source including at least one target noise source, determining the noise simulation value based on the noise source information of at least one target noise source; determining the warning information based on the noise threshold range and the noise simulation value, and sending the warning information to the user.

Description

[0001] Division Explanation

[0002] This application is a divisional application filed against a Chinese application with an application date of August 20, 2024, an application number of 202411139543.1, and an invention title of "A Construction Noise Warning Method and System". Technical Field

[0003] This specification relates to the field of construction management, and particularly to a construction noise warning method and system. Background Art

[0004] In the construction industry, noise pollution is inevitable. There are usually various noise sources at a construction site, such as mechanical equipment, construction tools, traffic noise, etc., and the high noise generated by them may persist. If workers are exposed to such a working environment for a long time, there will be potential safety hazards such as hearing damage. Conventional noise monitoring methods can only detect the ambient noise level and give a prompt, and cannot provide personalized analysis, warning, and suggestions based on the physiological conditions, work conditions, noise exposure conditions, etc. of each worker.

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

[0006] One or more embodiments of this specification provide a construction noise warning method, the method including: obtaining noise information of a construction site; based on the noise information, determining noise source information, the noise source information including at least one of the positioning information and the emitted noise intensity of at least one noise source; obtaining the noise threshold range and construction task information of a first user, the construction task information including at least the construction location; based on the noise source information and the construction task information, determining a noise simulation value of the construction location, wherein determining the noise simulation value of the construction location includes: based on the positioning information of the at least one noise source, determining the target construction task corresponding to the at least one noise source; obtaining the planned construction time of the target construction task; based on the planned construction time and the construction task information of the first user, determining whether at least one of the at least one noise source includes at least one target noise source, the target noise source including the noise source that emits noise when the first user performs a construction task; and in response to at least one of the at least one noise source including the at least one target noise source, based on the noise source information of the at least one target noise source, determining the noise simulation value; based on the noise threshold range and the noise simulation value, determining warning information, and sending the warning information to a user, the user including at least one of the first user and a 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 a construction task status, and the construction task status includes to-be-executed, in-execution, or after-execution.

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

[0010] In some embodiments, the construction task status is in-execution, and the physiological information is the current physiological information of the first user.

[0011] In some embodiments, the construction task status is after-execution, and 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.

[0012] In some embodiments, the noise information includes the noise information of 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 of the multiple spatial points.

[0013] In some embodiments, determining the noise simulation value based on the noise source information of the at least one target noise source includes: dividing the planned construction time of the target construction task corresponding to the at least one target noise source into multiple time intervals; and determining the noise simulation values corresponding to the multiple time intervals based on the noise source information of the at least one target noise source.

[0014] In some embodiments, the noise threshold range includes multiple decibel ranges that have different degrees of impact on the health of the first user.

[0015] One or more embodiments of this specification provide a construction noise warning system, which includes: 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, where the noise source information includes at least one of the positioning information of at least one noise source and the noise intensity emitted; a second acquisition module configured to acquire the noise threshold range of a first user and construction task information, where the construction task information at least includes the construction location; a second determination module configured to determine a noise simulation value of the construction location based on the noise source information and the construction task information, where determining the noise simulation value of the construction location includes: determining a target construction task corresponding to the at least one noise source based on the positioning information of the at least one noise source; acquiring the planned construction time of the target construction task; determining whether at least one of the at least one noise source includes at least one target noise source based on the planned construction time and the construction task information of the first user, where the target noise source includes a noise source that emits noise when the first user performs a construction task; and in response to at least one of the at least one noise source including the at least one target noise source, determining the noise simulation value based on the noise source information of the at least one target noise source; a warning module configured to determine warning information based on the noise threshold range and the noise simulation value, and send the warning information to a user, where the user includes at least one of the first user and a second user. Description of the Drawings

[0016] This specification will be further described by way of exemplary embodiments, which will be described in detail through the drawings. These embodiments are not restrictive. In these embodiments, the same numbers represent the same structures, where:

[0017] Figure 1 is a schematic diagram of an application scenario of an exemplary construction noise warning system shown in some embodiments of this specification;

[0018] Figure 2 is a module diagram of an exemplary construction noise warning system shown in some embodiments of this specification;

[0019] Figure 3 is a flowchart of an exemplary construction noise warning method shown in some embodiments of this specification;

[0020] Figure 4 is a schematic diagram of an exemplary construction noise warning method shown in some embodiments of this specification;

[0021] Figure 5 is a schematic diagram of an exemplary determination of a noise simulation value shown in some embodiments of this specification. Detailed Description of the Embodiments

[0022] To more clearly illustrate the technical solutions of the embodiments of this specification, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some examples or embodiments of this specification. For those of ordinary skill in the art, without creative efforts, this specification can also be applied to other similar scenarios based on these drawings. Unless obvious from the language context or otherwise stated, the same reference numerals in the figures represent the same structure or operation.

[0023] It should be understood that the "system", "device", "unit" and / or "module" used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the said words can be replaced by other expressions.

[0024] As shown in this specification and the claims, unless the context clearly indicates an exception, words such as "a", "an", "one" and / or "the" are not specifically singular and may also include plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of the clearly identified steps and elements, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0025] Flowcharts are used in this specification to illustrate the operations performed by the systems according to the embodiments of this specification. It should be understood that the previous or subsequent operations do not necessarily need to be executed precisely in sequence. On the contrary, the steps can be processed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several steps can be removed from these processes.

[0026] Figure 1 is a schematic diagram of the application scenario of an exemplary construction noise warning system shown in some embodiments of this specification. As Figure 1 shown, the construction noise 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] The storage device 110 can store data or information. In some embodiments, the storage device 110 can store data and / or information related to the noise at the construction site, such as noise information, construction task information, etc. In some embodiments, the storage device 110 can store the data and / or information processed by the processing device 120, such as noise source information, noise simulation values, etc. The storage device 110 may include one or more storage components, and each storage component can be an independent device or a part of other devices. The storage device can be local or implemented through the cloud.

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

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

[0030] The terminal 130 can interact with the user. The user can issue an operation instruction to the processing device 120 through the terminal 130, so that the processing device 120 completes the specified operation, such as generating a warning message, etc. In some embodiments, the terminal 130 can receive the generated warning message from the processing device 120, and the user can take noise protection measures according to it. In some embodiments, the terminal 130 can be one or any combination of a mobile device 130-1, a tablet computer 130-2, a laptop computer 130-3, a desktop computer, and other devices with input and / or output functions.

[0031] The network 140 can connect the components of the system and / or connect the system to the external resource part. The network 140 enables communication between the components and between the system and other parts outside the system, and promotes the exchange of data and / or information. In some embodiments, one or more components in the construction noise warning system 100 (for example, the storage device 110, the processing device 120, the terminal 130, the sensing device 150) can send data and / or information to other components through the network 140. In some embodiments, the 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 an electrical signal or other required form of information for transmission to other components in the construction noise warning system 100, so as to achieve information acquisition, processing, storage, recording, and control, etc. In some embodiments, the sensing device 150 can obtain noise-related data and / or information of the construction site, such as noise information, construction task information, etc., and transmit it to the storage device 110, the processing device 120, etc. for storage, processing, and other operations. In some embodiments, the sensing device 150 can be a sound sensing device, etc. For more content about the sensing device 150, reference can be made to Figure 3 its related description.

[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. For those of ordinary skill in the art, various changes and modifications can be made under the guidance of the content of this specification. The features, structures, methods, and other features of the exemplary embodiments described in this specification can be combined in various ways to obtain additional and / or alternative exemplary embodiments. For example, the processing device 120 can be based on a cloud computing platform, such as a public cloud, a private cloud, a community cloud, and a hybrid cloud, etc. However, these changes and modifications will not deviate from the scope of this specification.

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

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

[0036] In some embodiments, the first determination module 220 can be used to determine the noise source information based on the noise information, and the noise source information includes at least one of the positioning information of at least one noise source and the noise intensity emitted. For more content about how to determine the noise source information, reference can be made to the description of step 320.

[0037] In some embodiments, the second acquisition module 230 can be used to acquire the noise threshold interval of the first user and the construction task information, and the construction task information includes at least the construction location. For more content about how to acquire the noise threshold interval of the first user and the construction task information, reference can be made to the description of step 330.

[0038] In some embodiments, the second determination module 240 may be configured to determine a noise simulation value of the construction location based on the noise source information and the construction task information. For more details on how to determine the noise simulation value of the construction location, reference may be made to the description of step 340.

[0039] In some embodiments, the warning module 250 may be configured to determine a warning message based on the noise threshold range and the noise simulation value, and send the warning message to a user, where the user includes at least one of the first user and the second user. For more details on how to determine the warning message and send it to the user, reference may be made to the description of step 350.

[0040] In some embodiments, two or more modules in the construction noise warning system 200 may be combined into one module, and this module may implement the functions of the two or more modules. For example, the first acquisition module 210 and the second acquisition module 230 may be combined into one module, which may be configured to acquire the noise information of the construction site and acquire the noise threshold range and the construction task information of the first user. Another example is that the first determination module 220 and the second determination module 240 may be combined into one module, which may be configured to determine the noise source information based on the noise information and determine the noise simulation 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 warning system 200 may be deleted, or one or more new modules may be added to the construction noise warning system 200.

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

[0042] Step 310, acquire the noise information of the construction site. In some embodiments, step 310 may be executed by the first acquisition module 210.

[0043] The construction site refers to the spatial site where construction operations are carried out. For example, the construction site may be Room D of Community A, Airport B, Building C, etc. The noise information refers to the information related to the noise generated during construction. For example, the noise information may include the sound signal of the noise, the noise value, the noise frequency, the noise generation time, etc.

[0044] In some embodiments, the processing device 120 can obtain noise information in various ways. For example, the processing device 120 can obtain noise information by obtaining user input information. Specifically, the processing device 120 can obtain noise information such as noise audio information input by the user. Also for example, the processing device 120 can obtain noise information through a sound sensing device. A sound sensing device refers to a sensing device that obtains sound-related information. In some embodiments, the sound sensing device can be a sensor for collecting sound set at a fixed position on a construction site. In some embodiments, the sound sensing device can be a sound collecting sensor built into the terminal 130. For example, a microphone built into a smartphone, etc. 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, etc. In some embodiments, the sound sensing devices can be used independently or jointly. For example, the MEMS microphone array can be set at a fixed position on a construction site for independent use, or can be connected to a smartphone for joint use. In some embodiments, there can be one or more sound sensing devices. For example, the MEMS microphone array can be composed of multiple microphone units, and different microphone units respectively obtain noise information of different frequencies.

[0045] In some embodiments, the sound sensing device can preprocess the obtained noise information. For example, the MEMS microphone array can correct and compensate the obtained noise signal through calibration and verification algorithms to eliminate the noise and distortion of the sound sensing device itself. Also for example, the microphone built into a smartphone can convert the sound signal of the noise collected by the microphone into a digital signal through an application program to facilitate the transmission and analysis of noise information. The digital signal can include sound power level information for subsequent calculation of sound pressure, etc.; the digital signal can also include time stamps for constructing a noise sequence based on the acquisition time of the sound signal, etc.

[0046] In some embodiments, the preprocessing may include data transmission guarantee processing, data acquisition and integration processing, and data cleaning processing. Data transmission guarantee processing refers to the processing method for ensuring the normal transmission of noise information. For example, the data transmission guarantee processing may adopt the wireless sensor network (WSN) technology to connect the nodes of the sound sensing devices through wireless communication protocols (such as Zigbee, LoRa, etc.) to achieve real-time data transmission and collaborative work. Another example is that the data transmission guarantee processing may use a network topology optimization algorithm to optimize the network structure according to the node positions and communication ranges of the sound sensing devices, improving the reliability and efficiency of data transmission. Still another example is that the sound sensing devices transmit data to the superior server through the network for centralized storage, processing, and management of the data to ensure the integrity and security of the data. Data acquisition and integration processing refers to the processing method for collecting and integrating noise information. For example, the data acquisition and integration processing may continuously collect noise information based on preset parameters (such as sampling frequency, duration, etc.) and convert it into digital data for storage and transmission. Another example is that in the collection of noise information, based on calibration and verification algorithms, the noise information is corrected and compensated to eliminate the noise and distortion of the sound sensing devices themselves. Still another example is that the data acquisition and integration processing may use time synchronization technology to ensure that the noise information collected between the nodes of the sound sensing devices has consistent time stamps, facilitating subsequent data integration and analysis. Data cleaning processing refers to the processing method for correcting and optimizing noise information. For example, the data cleaning processing may perform spectral analysis on the collected noise information to understand the noise characteristics in different frequency ranges and the potential hazards to hearing. Another example is that the data cleaning processing may use filtering algorithms to denoise the raw data of the noise information and reduce spurious interference, improving the quality and accuracy of the noise signal. Still another example is that the data cleaning processing may use time-frequency analysis methods (such as short-time Fourier transform or wavelet transform, etc.) to transform the noise information into a time-frequency domain representation and extract the frequency components, energy distribution, and time-varying characteristics of the noise.

[0047] Step 320, based on the noise information, determine the noise source information. In some embodiments, step 320 may be executed by the first determination module 220.

[0048] The noise source information refers to the information related to the noise source. The noise source refers to the source of the noise. For example, the noise source may be construction equipment E, transportation vehicle F, etc. In some embodiments, the noise source information may include at least one of the positioning information of the noise source and the noise intensity emitted. The positioning information refers to the information related to the position of the noise source. For example, the geodetic coordinates of the noise source, etc. The emitted noise intensity refers to the parameter characterizing the strength of the noise. For example, the sound pressure level of the noise source, etc.

[0049] In some embodiments, the processing device 120 may determine the noise source information based on the noise information through a preset algorithm, a machine learning model, etc. The preset algorithm may be set based on tests or requirements.

[0050] For example, the preset algorithm may be a Time Difference of Arrival (TDOA) positioning method. The input information of the TDOA positioning method may be the noise information at multiple positions carrying timestamp information acquired by the sound sensing devices, and the output information may be the spatial position coordinates of the noise source. It can be understood that the input information may be acquired by multiple sound sensing devices in the construction site, and the sound sensing devices may be arranged at different heights, angles, positions, etc. The TDOA positioning method may be implemented through the following steps:

[0051] Step 1, calculate the time difference. The processing device 120 may calculate the time difference between receiving the noise information between any two sound sensing devices. For example, for N sound sensing devices, the processing device 120 may calculate N(N - 1) / 2 time differences.

[0052] Step 2, calculate the position coordinates of the noise source. The processing device 120 may calculate and determine the position coordinates of the noise source according to the time difference of the sound wave propagating in space using the triangulation principle. Exemplarily, if the position coordinates of the noise source are (x, y, z), and the coordinates of the i-th sound sensing device are (x i , y i , z i ), then the distance between the i-th sound sensing device and the noise source is expressed as formula (1):

[0053]

[0054] where d i represents the distance between the i-th sound sensing device and the noise source, x i , y i , z i respectively represent the abscissa, ordinate, and vertical coordinate of the i-th sound sensing device, and x, y, z respectively represent the abscissa, ordinate, and vertical coordinate of the noise source.

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

[0056]

[0057] where Δt iIt represents the time difference between the i-th sound sensing device and the 1st sound sensing device when receiving sound waves. d1 represents the distance between the i-th sound sensing device and the noise source, and c represents the sound wave propagation speed. Substitute each time difference into formula (1), obtain a system of equations and solve for the values of (x, y, z), then the position coordinates of the noise source can be determined. It can be understood that if the noise sources are distributed in a three-dimensional manner in space, a three-dimensional coordinate system can be used for positioning; if the noise sources are distributed in a two-dimensional manner in space, a two-dimensional plane coordinate system can be used for positioning, and this specification does not limit this.

[0058] Step 3, optimize the result. The processing device 120 can optimize the obtained spatial position coordinates of the noise source based on methods such as the least squares method and the Kalman filter to improve the positioning accuracy.

[0059] For another example, the preset algorithm can be the sound energy propagation formula method. The input information of the sound energy propagation formula method can be the spatial position coordinates and sound power level information of the noise source, and the output information can be the sound pressure level of the noise source at any position. It can be understood that the spatial position coordinates of the noise source in the input information can be determined by the TDOA positioning method, and the sound power level information can be obtained from the digital signal processed from the sound signal acquired by the sound sensing device. If the sound sensing device is the built-in sound sensor of the terminal 130, it can be directly processed and obtained on the terminal 130. If the sound sensing device is an independent sound sensor, it can be uploaded to the processing device 120 through the network 140 for processing and obtaining. 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 position. The processing device 120 can calculate and determine the sound pressure level of the noise source at any position according to the sound energy propagation formula. Exemplarily, the sound energy propagation formula can be expressed as formula (3):

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

[0062] where, L p represents the sound pressure level of the noise source at a certain position, L w represents the sound power level of the noise source, and r represents the distance from the noise source to this position.

[0063] Step 2, if there are multiple noise sources, calculate the total sound pressure level at any position. The processing device 120 can calculate the total sound pressure level at any position by means of energy addition, as shown in formula (4):

[0064]

[0065] where, L p ’represents the total sound pressure level of all noise sources at a certain position, and n represents the number of noise sources. represents the sound pressure level of the i-th noise source at this position, which can be calculated and determined based on formula (3). It can be understood that if the noise sources are distributed in a three-dimensional manner in space, a three-dimensional coordinate system can be established to calculate the sound pressure level of each noise source at this position and determine the total sound pressure level.

[0066] Step 3, optimize the result. The 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 there are environmental shelters, the processing device 120 can also introduce an attenuation coefficient to reduce the influence of the shelter, such as the walls in the longitudinal and transverse spaces, etc. The processing device 12 can also use methods such as Monte Carlo simulation to optimize and correct the calculation result to improve the calculation accuracy.

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

[0068] Multiple spatial points refer to multiple points within the public site space. For example, multiple spatial points can be (x1, y1, z1), (x2, y2, z2), …, (x n , y n , z n ) etc., where x, y, and z respectively represent the longitude, latitude, and altitude of the multiple spatial points. In some embodiments, the multiple spatial points can be multiple fixed spatial points or multiple moving 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 the noise information obtained by multiple mobile sound sensing devices carried by users.

[0069] In some embodiments, the processing device 120 can obtain the noise information of multiple spatial points in various ways. In some embodiments, the processing device 120 can determine the noise source information based on the noise information of multiple spatial points through a preset algorithm, a machine learning model, etc. The specific method can refer to the relevant description above.

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

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

[0072] The first user refers to the executor of the construction task. For example, a worker, etc. The noise threshold range refers to the range composed 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 in ascending order of decibels. Among them, (a, b) has no impact on the health of the first user A, (b, c) has a mild 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 the present specification, by setting the noise threshold range to include 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, facilitating the implementation of different noise measures corresponding to different noise threshold ranges subsequently.

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

[0075] For example, the processing device 120 may determine the noise threshold range based on the health data, work data, etc. of the first user by the model, and determine the noise threshold range. The noise threshold range determination model may be a machine learning model. The types of the noise threshold range determination model may be various. For example, the noise threshold range determination model may include a neural network model (Neural Network, NN), a deep neural network (Deep Neural Network, DNN) model, a convolutional neural network (Convolutional Neural Network, CNN) model, etc. or any combination thereof. In some embodiments, the input of the noise threshold range determination model may be the health data and work data of the first user, and the output of the shadow area recognition model may be the noise threshold range. The health data of the first user refers to the data related to the health condition, such as the hearing detection value, etc. The work data refers to the data related to the construction work, such as the working hours, etc. The foregoing data may be obtained based on the user input of the historical physical examination data, historical work data, etc. of the first user. In some embodiments, the noise threshold range determination model may be obtained through training. The processing device 120 may train the initial noise threshold range determination model based on the training samples to determine the noise threshold range determination model. In some embodiments, the processing device 120 may input the training samples into the initial noise threshold range determination model, and establish a loss function based on the label and the output result of the initial noise threshold range determination model, and update the parameters of the initial noise threshold range determination model. When the loss function of the initial noise threshold range determination model meets the preset conditions, the model training is completed, and the noise threshold range determination model is determined. Among them, the preset conditions may be that the loss function converges, the number of iterations reaches the threshold, etc. The training samples may be the health data and work data of the sample first user, which may be obtained through historical data; the label may be the noise threshold range of the sample first user, which may be obtained through manual annotation. In some embodiments, the processing device 120 may obtain the physiological information of the first user and determine the noise threshold range. For more content about determining the noise threshold range, reference may be made to Figure 4 its related description.

[0076] The construction task information refers to the information related to the tasks of the construction operation. For example, the construction task information may be construction machinery and equipment, construction process flow, construction time period, etc. In some embodiments, the construction task information may at least include the construction location.

[0077] The construction location refers to the specific location where the first user conducts construction, which can be represented by spatial position coordinates. In some embodiments, the processing device 120 can obtain construction task information in multiple ways. For example, the processing device 120 can obtain construction task information by obtaining user input information. Additionally, for example, the processing device 120 can obtain construction task information from a storage device inside or outside the construction noise warning system 200.

[0078] Step 340: Determine the noise simulation value of the construction location based on the noise source information and the construction task information. In some embodiments, step 340 can be executed by the second determination module 240.

[0079] The noise simulation value refers to the noise decibel value of a certain location determined through simulation. In some embodiments, the processing device 120 can calculate and determine the noise simulation value of the construction location based on the noise source information and the construction task information through a preset algorithm. For the specific content of the preset algorithm, reference can be made to the relevant description of the aforementioned sound energy propagation formula method.

[0080] In some embodiments, the processing device 120 can determine the target construction task corresponding to at least one noise source based on the positioning information of at least one noise source; obtain the planned construction time of the target construction task; determine whether at least one of the at least one noise sources includes at least one target noise source based on the planned construction time and the construction task information of the first user; in response to at least one of the at least one noise sources including at least one target noise source, determine the noise simulation value based on the noise source information of at least one target noise source. For more content on determining the noise simulation value, reference can be made to Figure 5 and its relevant description.

[0081] Step 350: Determine the warning information based on the noise threshold range and the noise simulation value, and send the warning information to the user. In some embodiments, step 350 can be executed by the warning module 250.

[0082] A warning message refers to relevant content that warns in advance about the impact of noise. For example, the warning message can be to dissuade the first user from performing a construction task, to prompt the first user to install sound insulation equipment, etc. In some embodiments, the processing device 120 can determine the warning message in various ways based on the noise threshold range and the noise simulation value. For example, the processing device 120 can determine the warning message based on the noise threshold range and the noise simulation value through preset conditions. The preset conditions can be set based on experience or requirements. For example, the preset condition can be that when it is determined that the noise simulation value is within the noise threshold range that has no impact on the health of the first user, the warning message is determined to be no indication; when it is determined that the noise simulation value is within the noise threshold range that has a slight impact on the health of the first user, the warning message is determined to be to prompt the first user to install sound insulation equipment; when it is determined that the noise simulation value is within the noise threshold range that has a severe impact on the health of the first user, the warning message is determined to be to dissuade the first user from performing the construction task, etc. Another example is that the processing device 120 can determine the warning message based on the noise threshold range and the noise simulation value through a preset algorithm, a machine learning model, etc.

[0083] A user refers to a user of the construction noise warning system. In some embodiments, the user includes at least one of the first user and the second user. The second user refers to a construction management personnel. For example, the manager of the first user, etc.

[0084] In some embodiments, the processing device 120 can send the warning message to the user through wired or wireless transmission.

[0085] In some embodiments, the processing device 120 can determine whether there is a corresponding target construction task for each of at least one noise source based on the positioning information of the at least one noise source; in response to there being a noise source among the at least one noise source that does not have a corresponding target construction task, designate the noise source as an invalid noise source; determine the warning message based on the noise source information of the invalid noise source, and send the warning message to the second user.

[0086] A target construction task refers to a construction task corresponding to a noise source. For example, the construction task H corresponding to the use of the noise device G, etc. It can be understood that there is a corresponding relationship between the noise source and the target construction task. For example, when the noise source is a concrete mixer, if the construction task at this time is concrete paving and concrete paving requires the use of a concrete mixer, then concrete paving is the target construction task of this noise source. If the construction task at this time is latex paint spraying and latex paint spraying does not require the use of a concrete mixer, then latex paint spraying is not the target construction task of this noise source.

[0087] In some embodiments, the processing device 120 may determine whether there are corresponding target construction tasks for at least one noise source based on the positioning information of at least one noise source and by querying a preset table. The preset table is set with the positioning information of different noise sources and their corresponding construction task information, and the preset table may be determined based on user input or historical data.

[0088] In some embodiments, the processing device 120 may compare whether there is corresponding construction task information in the preset table for the positioning information of the noise source. If so, it continues to compare whether the current time is within the construction time period in the construction task information. If it is, it determines that there are corresponding target construction tasks for at least one noise source. If any of the foregoing conditions is not met, it determines that there is no noise source corresponding to the target construction task among at least one noise source. By traversing all noise sources, if there is at least one noise source without a corresponding target construction task, it is determined that there is a noise source without a corresponding target construction task among at least one noise source.

[0089] An invalid noise source refers to a noise source generated by non-normal construction operations. For example, a noise source generated by a risk accident, an external interference noise source, etc. In some embodiments, in response to there being a noise source without a corresponding target construction task among at least one noise source, the processing device 120 may directly designate this noise source as an invalid noise source.

[0090] In some embodiments, the processing device 120 may determine a warning message based on the noise source information of the invalid noise source through a preset rule and send the warning message to a second user. The preset rule may be set based on experience or requirements. For example, the preset rule may be that in response to the existence of the noise source information of the invalid noise source, the warning message is determined to be sending the positioning information of the invalid noise source to prompt the user to go for detection.

[0091] In some embodiments of this specification, by determining whether there are corresponding target construction tasks for at least one noise source based on the positioning information of at least one noise source; designating a noise source as an invalid noise source in response to there being a noise source without a corresponding target construction task among at least one noise source; determining a warning message based on the noise source information of the invalid noise source and sending the warning message to a second user, it is possible to effectively identify whether a noise source is generated by normal construction operations and avoid construction accidents caused by abnormal noise, etc.

[0092] In some embodiments of the present specification, by obtaining the noise information of the construction site; determining the noise source information based on the noise information; obtaining the noise threshold range and construction task information of the first user; determining the noise simulation value of the construction location based on the noise source information and the construction task information; determining the warning information based on the noise threshold range and the noise simulation value, and sending the warning information to the user, it is possible to comprehensively analyze the detected relevant information for each individual construction worker, accurately evaluate the noise risk, determine personalized noise warning information and suggestions for each worker, and provide a scientific basis for taking corresponding control measures, so as to achieve the comprehensiveness, effectiveness and sustainability of noise management, avoid potential health and safety hazards of workers, and ensure the normal progress of construction operations.

[0093] Figure 4 It is a schematic diagram of an exemplary construction noise warning method shown in some embodiments of the present specification.

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

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

[0096] In some embodiments, the processing device 120 may determine the noise threshold range 430 based on the physiological information 420 by establishing a regression model or other relevant models. The specific formula used in the model may be set based on experience or requirements. For example, it may 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 may be set based on experience or requirements.

[0097] In some embodiments, the construction task information may further include the construction task status 410. The construction task status 410 refers to the relevant information of the construction task execution status. In some embodiments, the construction task status 410 includes to-be-executed 411, in-execution 412, or after-execution 413.

[0098] In some embodiments of the present specification, by setting that the construction task information further includes the construction task status 410, and the construction task status 410 includes to-be-executed 411, in-execution 412, or after-execution 413, it is convenient to determine different physiological information and warning measures based on different construction states subsequently.

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

[0100] The most recent physiological information 421 refers to the physiological information of the user measured most recently. For example, the physiological information determined by the most recent regular physical examination, the physiological status reported by the worker himself / herself most recently, the physiological data collected by the sensing device last time, etc.

[0101] It can be understood that when the construction task has not been executed yet, the processing device 120 should evaluate the physical condition based on the most recent physiological data of the first user, 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 the present specification, in response to the construction task status 410 being to be executed 411 and the physiological information 420 being the most recent physiological information 421 of the first user, sending a warning message 460 to the user before the first user enters the construction site can analyze the health status of the worker in advance and give a warning or suggestion in time, so as to contain the risk before construction.

[0103] In some embodiments, in response to the warning message 460 being to dissuade the first user from executing the construction task, the turnstile at the construction site is instructed to prohibit the first user from passing through.

[0104] It can be understood that the turnstile is set at the entrance and exit of the construction site for facilitating the management of the personnel entering and leaving the construction site. When the warning message 460 is to dissuade the first user from executing the construction task, a control instruction can be directly sent to the turnstile at the construction site to prohibit the corresponding first user from entering.

[0105] In some embodiments of the present specification, in response to the warning message 460 being to dissuade the first user from executing the construction task, instructing the turnstile at the construction site to prohibit the first user from passing through can prevent workers who are not suitable for construction operations from forcibly entering the construction site and causing potential safety hazards.

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

[0107] The task change menu refers to an operation page for changing the construction task. For example, an operation page including multiple construction tasks for change, etc. In some embodiments, the task change menu can be generated in various ways. For example, the task change menu can be generated based on user input information or historical data stored in the storage device.

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

[0109] The candidate construction area refers to a construction area available for selection. In some embodiments, the processing device 120 may obtain the noise information of all construction areas, compare it with the noise threshold range 430 of the first user, and use the construction areas where the noise information is within the noise threshold range 430 acceptable to the first user as the candidate construction areas.

[0110] The type of work information refers to information related to the type of work. For example, the specific type of work, the duration of engaging in the type of work, etc. In some embodiments, the processing device 120 may obtain the type of work information of the first user in various ways. For example, the processing device 120 may obtain the type of work information of the first user by obtaining user input information. Another example is that the processing device 120 may obtain it by reading the information in the internal or external memory of the construction noise warning system.

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

[0112] In some embodiments of this specification, by setting the task change menu to include a recommended task list, determining the candidate construction area of the first user based on the noise threshold range 430 of the first user; obtaining the type of work information of the first user; and determining the recommended task list based on the type of work information and the candidate construction area, when the current task is not suitable for the worker to execute, candidate tasks that match the worker's health condition and type of work information can be recommended for the worker to select and replace, avoiding waste of human resources and ensuring the worker's income.

[0113] In some embodiments, when the construction task status 410 is in progress 412, the physiological information 420 may 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 may obtain the current physiological information 422 of the first user in real time through a sensing device carried by the first user (such as a portable health monitor, a smart bracelet, etc.).

[0114] In some embodiments, the processing device 120 may determine the real-time noise threshold range 430 of the first user based on the current physiological information 422 of the first user, and then combine the noise simulation value at the construction location of the first user to determine the warning information 460 and send it to the user. For more information on determining the warning information 460 based on the noise threshold range 430 and the noise simulation value, reference can be made to Figure 3 and its related descriptions.

[0115] In some embodiments of this specification, by setting the construction task status 410 to in-execution 412, the physiological information 420 may be the current physiological information 422 of the first user, and the health status of the user can be monitored in real time and adjusted in a timely manner.

[0116] In some embodiments, when the construction task status 410 is after-execution 413, the processing device 120 may 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] The noise exposure information 440 refers to the relevant information of the human body exposed to a noise environment. For example, noise exposure time, noise exposure dose, etc. The noise exposure time refers to the time that the human body is exposed to a noise environment. The noise exposure dose is a parameter that measures the degree of the human body exposed to a high-noise environment.

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

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

[0120] where, Dose represents the noise exposure dose, C1 - C n represents the difference between the noise value in different time periods minus the noise threshold, and T1 - T n represents the noise exposure time corresponding to the corresponding time period.

[0121] For another example, the processing device 120 may calculate and determine the noise exposure time through formula (6):

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

[0123] Among them, Exposure Time represents the noise exposure time, and T1-T n represents the time when the human body is exposed to a high-noise environment in different time periods.

[0124] The hearing damage risk information 450 refers to the relevant parameter information characterizing the magnitude of the user's hearing damage risk. In some embodiments, the hearing damage risk information 450 may include a hearing damage risk level: a hearing damage risk level of (0, 85dB) indicates no damage, [85dB, 90dB) indicates a first-level damage, [90dB, 95dB) indicates a second-level damage, [95dB, 100dB) indicates a third-level damage, and [100dB, +∞) indicates a fourth-level damage.

[0125] In some embodiments, the processing device 120 may determine the hearing damage 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 damage risk information 450 of the first user based on the noise exposure information 440 through formula (7):

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

[0127] where Damage Level represents the hearing damage risk level.

[0128] In some embodiments, the processing device 120 may determine the warning information 460 based on the hearing damage risk information 450 through a preset rule, and send the warning information 460 to the user 470. The preset rule may be set based on experience or requirements. For example, the preset rule may be that when the hearing damage risk level is no damage, the warning information 460 is determined to be no warning; when the hearing damage risk level is first-level damage or second-level damage, the warning information 460 is determined to be a suggestion to wear sound insulation equipment; when the hearing damage risk level is third-level damage or fourth-level damage, the warning information 460 is determined to prohibit the user from performing construction operations, etc.

[0129] In some embodiments of this specification, by setting to obtain the noise exposure information 440 of the first user; determining the hearing damage risk information 450 of the first user based on the noise exposure information 440; determining the warning information 460 based on the hearing damage risk information 450, and sending the warning information 460 to the user, it is possible to efficiently and intelligently determine the potential health hazards after the user completes the construction task and make timely adjustments, which helps to maintain the hearing health of the workers.

[0130] In some embodiments of the present specification, by obtaining the physiological information 420 of the first user; based on the physiological information 420, determining the noise threshold interval 430, it is possible to determine an actual noise threshold interval 430 based on the physical health status of each worker, which is convenient for subsequent construction task arrangement and adjustment.

[0131] Figure 5 It is a schematic diagram of an exemplary determination of the noise simulation value 590 shown in some embodiments of the present specification.

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

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

[0134] The planned construction time 540 refers to the time when the construction task is planned to be carried out. For example, the planned construction time 540 of construction task I may be 9:00 - 16:00. In some embodiments, the processing device 120 may directly obtain the construction task information 550 of the target construction task 530 to determine the planned construction time 540. For more content on obtaining the construction task information 550, reference can be made to Figure 3 and its related descriptions.

[0135] The target noise source refers to the noise source that emits noise corresponding to the construction task performed by the first user. In some embodiments, the processing device 120 may 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, it means that the noise source is the target noise source, that is, 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, it means that the noise source is not the target noise source. Traverse all noise sources. If none of them are target noise sources, it means that 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 in at least one noise source 510, determine a noise simulation value 590 based on the noise source information 570 of the at least one target noise source 560 through a preset algorithm. The preset algorithm may be determined based on experience or requirements. For example, the preset algorithm may be the sound energy propagation formula method. For more information on the sound energy propagation formula method, reference can be made to Figure 3 and its related descriptions.

[0137] In some embodiments, when at least one target noise source 560 is not included in at least one noise source 510, the processing device 120 may send a warning message to the user to prompt the user to check based on the positioning information 520 of the noise source, so as to avoid accidents such as equipment damage and worker injury.

[0138] In some embodiments, the processing device 120 may 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; based on the noise source information 570 of the at least one target noise source 560, determine the noise simulation values 590 corresponding to the multiple time intervals 580.

[0139] It can be understood that different target noise sources have different sound emission times, which may result in different time intervals 580 in the planned construction time 540 of the target construction task 530, and the corresponding target noise sources that emit sounds are different. The sound emission time refers to the time when the target noise source emits noise. In some embodiments, the processing device 120 may directly obtain the sound emission time of the target noise source based on the construction task information 550.

[0140] In some embodiments, the processing device 120 may divide the planned construction time 540 of the target construction task 530 into multiple time intervals 580 based on the sound generation time of each target noise source. For example, for the target construction task 5301 corresponding to the target noise source 1, the target noise source 2, and the target noise source 3, the planned construction time 540 is from 09:00 to 16:00, the sound generation time of the target noise source 1 is from 09:00 to 13:00, the sound generation time of the target noise source 2 is from 14:00 to 15:00, and the sound generation time of the target noise source 3 is from 10:00 to 16:00. Then, the processing device 120 may divide the planned construction time 540 into five time intervals 580: (09:00 - 10:00), (10:00 - 13:00), (13:00 - 14:00), (14:00 - 15:00), (15:00 - 16:00). Among them, the target noise source 1 generates sound in the time interval (09:00 - 10:00); the target noise source 1 and the target noise source 3 generate sound in the time interval (10:00 - 13:00); the target noise source 3 generates sound in the time interval (13:00 - 14:00); the target noise source 2 and the target noise source 3 generate sound in the time interval (14:00 - 15:00); the target noise source 3 generates sound in the time interval (15:00 - 16:00).

[0141] In some embodiments, the processing device 120 may comprehensively calculate 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. For example, if the target noise source 1 generates sound in the time interval (09:00 - 10:00), then only calculate the noise simulation value 590 from the target noise source 1 to the first user's construction location as the noise simulation value 590 corresponding to this time interval 580; if the target noise source 2 and the target noise source 3 generate sound in the time interval (14:00 - 15:00), then calculate the noise simulation values 590 from the target noise source 2 to the first user's construction location respectively, and take the sum of the two as the noise simulation value 590 corresponding to this time interval 580. The specific method for calculating the noise simulation value 590 can be referred to Figure 3 and its related descriptions.

[0142] In some embodiments of this specification, by dividing 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 determining 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, it is possible to analyze the specific situation specifically, comprehensively calculate the noise simulation values for multiple different time periods according to the noise sources in different time periods, and determine more accurate noise simulation values.

[0143] In some embodiments of this specification, based on the positioning information 520 of at least one noise source 510, at least one target construction task 530 corresponding to the at least one noise source 510 is determined; 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 of the at least one noise source 510 includes at least one target noise source 560; in response to at least one of the at least one noise source 510 including at least one target noise source 560, based on the noise source information 570 of the at least one target noise source 560, a noise simulation value 590 is determined, which can clarify the specific construction task to which the noise source belongs, determine whether it conforms to the actual construction operation situation of the user, and facilitate 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 above detailed disclosure is only an example and does not constitute a limitation to this specification. Although not explicitly stated here, those skilled in the art may make various modifications, improvements, and corrections to this specification. Such modifications, improvements, and corrections are proposed in this specification, so such modifications, improvements, and corrections still belong to the spirit and scope of the exemplary embodiments of this specification.

[0145] At the same time, this specification uses specific terms to describe the embodiments of this specification. For example, "one embodiment", "an embodiment", and / or "some embodiments" mean a certain feature, structure, or characteristic related to at least one embodiment of this specification. Therefore, it should be emphasized and noted that the "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more at different positions in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures, or characteristics in one or more embodiments of this specification can be appropriately combined.

[0146] In addition, unless clearly stated in the claims, the order of the processing elements and sequences, the use of numbers, letters, or other names in this specification is not used to limit the order of the processes and methods in this specification. Although some currently considered useful invention embodiments are discussed through various examples in the above disclosure, it should be understood that such details only serve the purpose of explanation. The appended claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that conform to the essence and scope of the embodiments of this specification. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only through 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 presentation disclosed in this specification and thus assist in the understanding of one or more embodiments of the invention, in the foregoing description of the embodiments of this specification, multiple features are sometimes grouped into one embodiment, drawing, or description thereof. However, this disclosure method does not mean that the features required by the object of this specification are more than those mentioned in the claims. In fact, the features of the embodiments are fewer than all the features of the single embodiments disclosed above.

[0148] In some embodiments, numbers are used to describe components and the quantity of attributes. It should be understood that such numbers used for the description of embodiments are modified by the modifiers "about", "approximately", or "substantially" in some examples. Unless otherwise stated, "about", "approximately", or "substantially" indicate that the said numbers allow a variation of ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, and such approximate values may change according to the characteristics required by individual embodiments. In some embodiments, the numerical parameters should consider the specified significant digits and adopt the method of retaining the general number of digits. Although the numerical ranges and parameters used in some embodiments of this specification to confirm the breadth of their scope are approximate values, in specific embodiments, the setting of such numerical values is as precise as possible within the feasible range.

[0149] For each patent, patent application, patent application publication, and other materials cited in this specification, such as articles, books, specifications, publications, documents, etc., their entire contents are hereby incorporated into this specification by reference. Except for the application history documents that are inconsistent with or conflict with the content of this specification, and except for the documents that limit the broadest scope of the claims of this specification (currently or subsequently appended to this specification). It should be noted that if there are inconsistencies or conflicts between the descriptions, definitions, and / or uses of terms in the supplementary materials of this specification and the content described in this specification, the descriptions, definitions, and / or uses of terms in this specification shall prevail.

[0150] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, by way of example and not limitation, alternative configurations of the embodiments of this specification may be considered to be consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.

Claims

1. A construction noise warning method, characterized in that, Including: Obtaining noise information of a construction site; Based on the noise information, determining noise source information, where the noise source information includes at least one of the positioning information of at least one noise source and the noise intensity emitted; Obtaining the noise threshold range of a first user and construction task information, where the noise threshold range includes multiple decibel ranges that have different degrees of impact on the health of the first user, and the construction task information includes at least the construction location; Based on the noise source information and the construction task information, determining a noise simulation value of the construction location, where determining the noise simulation value of the construction location includes: Based on the positioning information of the at least one noise source, determining the target construction task corresponding to the at least one noise source; Obtaining the planned construction time of the target construction task; Based on the planned construction time and the construction task information of the first user, determining whether at least one of the at least one noise source includes at least one target noise source, where the target noise source includes the noise source that emits noise when the first user performs the construction task; and In response to at least one of the at least one noise source including the at least one target noise source, based on the noise source information of the at least one target noise source, determining the noise simulation value; Based on the noise threshold range and the noise simulation value, determining a warning message and sending the warning message to a user, where the user includes at least one of the first user and a second user; The method further includes: Based on the positioning information of the at least one noise source, determining whether all of the at least one noise source have corresponding target construction tasks; In response to there being 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; Based on the noise source information of the invalid noise source, determining the warning message and sending the warning message to the second user.

2. The method according to claim 1, wherein The obtaining the noise threshold range of the first user includes: Obtaining the physiological information of the first user; and Based on the physiological information, determining the noise threshold range.

3. The method according to claim 2, wherein The construction task information further includes a construction task status, where the construction task status includes to-be-executed, in-execution, or executed.

4. The method according to claim 3, characterized in that When the construction task status is to-be-executed and the physiological information is the most recent physiological information of the first user, sending the warning message to the user includes sending the warning message to the user before the first user enters the construction site.

5. The method according to claim 3, characterized in that, When the construction task status is in-execution, the physiological information is the current physiological information of the first user.

6. The method according to claim 3, wherein When the construction task status is executed, sending the warning message to the user includes: Obtaining the noise exposure information of the first user; Based on the noise exposure information, determining the hearing damage risk information of the first user; and Based on the hearing damage risk information, determining the warning message and sending the warning message to the user.

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

8. The method according to claim 1, wherein Determining the noise simulation value based on the noise source information of the at least one target noise source includes: Dividing the planned construction time of the target construction task corresponding to the at least one target noise source into a plurality of time intervals; and Determining the noise simulation values corresponding to the plurality of time intervals based on the noise source information of the at least one target noise source.

9. A construction noise warning system, characterized in that, Includes: 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 positioning information of at least one noise source and the noise emission intensity; A second acquisition module configured to acquire a noise threshold interval of a first user and construction task information, the noise threshold interval including a plurality of decibel intervals that have different degrees of impact on the health of the first user, and the construction task information including at least a construction location; A second determination module configured to determine a noise simulation value of the construction location based on the noise source information and the construction task information, wherein determining the noise simulation value of the construction location includes: Determining a target construction task corresponding to the at least one noise source based on the positioning information of the at least one noise source; Acquiring the planned construction time of the target construction task; Determining whether at least one of the at least one noise source includes at least one target noise source based on the planned construction time and the construction task information of the first user, the target noise source including a noise source that emits noise when the first user performs a construction task; and In response to the at least one noise source including the at least one target noise source, determining the noise simulation value based on the noise source information of the at least one target noise source; An early warning module configured to determine early warning information based on the noise threshold interval and the noise simulation value, and send the early warning information to a user, the user including at least one of the first user and the second user; The early warning module is further configured to: Determine whether there is a corresponding target construction task for each of the at least one noise source based on the positioning information of the at least one noise source; In response to a noise source among the at least one noise source having no 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.

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