Construction noise early warning method and system

Abstract

The embodiment of the invention provides a construction noise early warning method and system. The method comprises the steps that noise information of a construction site is acquired; determining noise source information based on the noise information; obtaining a noise threshold interval and construction task information of the first user; a noise simulation value of the construction position is determined based on the noise source information and the construction task information, and the step of determining the noise simulation value comprises 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 planned construction time of the target construction task; determining whether the at least one noise source comprises at least one target noise source or not based on the planned construction time and the construction task information of the first user; in response to at least one target noise source included in the at least one noise source, determining a noise simulation value based on the noise source information of the at least one target noise source; and determining early warning information based on the noise threshold interval and the noise simulation value, and sending the early warning information to the user.

Description

Description of the case

[0001] This application is a divisional application filed for the Chinese application with the application date of August 20, 2024, application number 202411139543.1, and invention name “A construction noise warning method and system”. Technical Field

[0002] The present invention relates to the field of construction management, and in particular to a construction noise early warning method and system. Background Art

[0003] In the construction industry, noise pollution is difficult to avoid. There are usually various noise sources on the construction site, such as machinery and equipment, construction tools, traffic noise, etc., and the high noise generated by them may continue to exist. If workers are exposed to such a working environment for a long time, there will be safety hazards such as hearing damage. Conventional noise monitoring methods can only detect the ambient noise level and provide prompts, and cannot provide personalized analysis, warnings and suggestions based on each worker's physiological condition, work situation, noise exposure, etc.

[0004] Therefore, it is hoped to provide a construction noise early warning method and system to achieve comprehensive, accurate and efficient noise risk management. Summary of the invention

[0005] One or more embodiments of the present specification provide a construction noise early warning method, the method comprising: obtaining 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 location information and the noise intensity of at least one noise source; obtaining a noise threshold interval and construction task information of a first user, the construction task information including at least a construction location; determining 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 comprises: determining a target construction task corresponding to the at least one noise source based on the location information of the at least one noise source; obtaining a planned construction time of the target construction task; determining whether 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; determining early warning information based on the noise threshold interval and the noise simulation value, and sending the early warning information to a user, the user including at least one of the first user and the second user.

[0006] In some embodiments, obtaining the noise threshold interval of the first user includes: obtaining physiological information of the first user; and determining the noise threshold interval based on the physiological information.

[0007] In some embodiments, the construction task information also includes a construction task status, and the construction task status includes to be executed, being executed, or after being executed.

[0008] In some embodiments, the construction task status is to be executed, the physiological information is the latest 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.

[0009] In some embodiments, the construction task status is in execution, and the physiological information is the current physiological information of the first user.

[0010] In some embodiments, after the construction task status is executed, 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.

[0011] In some embodiments, the noise information includes noise information of multiple spatial points in 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.

[0012] In some embodiments, based on the noise source information of the at least one target noise source, determining the noise simulation value 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 based on the noise source information of the at least one target noise source, determining the noise simulation values ​​corresponding to the multiple time intervals.

[0013] In some embodiments, the noise threshold interval includes a plurality of decibel intervals that have different degrees of impact on the health of the first user.

[0014] One or more embodiments of the present specification provide 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 comprising at least one of the location information of at least one noise source and the intensity of the emitted noise; a second acquisition module, configured to acquire a noise threshold interval and construction task information of a first user, the construction task information comprising 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 comprises: determining, based on the location information of the at least one noise source, a target construction task corresponding to the at least one noise source; obtaining a planned construction time for the target construction task; determining whether 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 makes 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 is 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] This specification will be further described in the form of exemplary embodiments, which will be described in detail by the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein:

[0016] Figure 1 is a schematic diagram of an application scenario of an exemplary construction noise warning system according to some embodiments of this specification;

[0017] Figure 2 is a module diagram of an exemplary construction noise warning system according to some embodiments of this specification;

[0018] Figure 3 is a flow chart of an exemplary construction noise early warning method according to some embodiments of this specification;

[0019] Figure 4 is a schematic diagram of an exemplary construction noise early warning method according to some embodiments of this specification;

[0020] Figure 5 is a schematic diagram of exemplary determination of noise simulation values ​​according to some embodiments of this specification. DETAILED DESCRIPTION

[0021] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of this specification. For ordinary technicians in this field, this specification can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

[0022] It should be understood that the "system", "device", "unit" and / or "module" used herein are a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

[0023] As shown in this specification and claims, unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular and may also include the plural. Generally speaking, the terms "comprise" and "include" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0024] Flowcharts are used in this specification to illustrate the operations performed by the system according to the embodiments of this specification. It should be understood that the preceding or following operations are not necessarily performed precisely in order. Instead, the steps may be processed in reverse order or simultaneously. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0025] Figure 1 Schematic diagram of an application scenario of an exemplary construction noise warning system according to some embodiments of this specification. Figure 1 As 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 sensor device 150 .

[0026] The storage device 110 can store data or information. In some embodiments, the storage device 110 can store data and / or information related to noise at the construction site, such as noise information, construction task information, etc. In some embodiments, the storage device 110 can store 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, each of which may be an independent device or part of another device. The storage device may be local or implemented through the cloud.

[0027] 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 these data, information and / or processing results 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 pre-stored data and / or information from the storage device 110, such as noise information, construction task information, etc., for executing the construction noise early warning method shown in some embodiments of this specification.

[0028] 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-core processing device). As an 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, etc., or any combination thereof.

[0029] 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, for example, generates warning information, etc. In some embodiments, the terminal 130 can receive the generated warning information from the processing device 120, and the user can perform noise protection measures, etc. according to it. In some embodiments, the terminal 130 can be one of the mobile device 130-1, tablet computer 130-2, laptop computer 130-3, desktop computer and other devices with input and / or output functions, or any combination thereof.

[0030] The network 140 can connect the components of the system and / or connect the system with external resources. The network 140 enables communication between the components and with other parts outside the system to facilitate the exchange of data and / or information. In some embodiments, one or more components in the construction noise warning system 100 (e.g., storage device 110, processing device 120, terminal 130, sensor device 150) can send data and / or information to other components via the network 140. In some embodiments, the network 140 can be any one or more of a wired network or a wireless network.

[0031] The sensor device 150 can collect information and convert it into electrical signals or other required forms of information and transmit it to other components in the construction noise warning system 100 to achieve information acquisition, processing, storage, recording and control. In some embodiments, the sensor device 150 can obtain noise-related data and / or information at 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, etc. In some embodiments, the sensor device 150 can be a sound sensor device, etc. For more information about the sensor device 150, please refer to Figure 3 and its related description.

[0032] 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 may be made under the guidance of the contents of this specification. The features, structures, methods and other features of the exemplary embodiments described in this specification may be combined in various ways to obtain additional and / or alternative exemplary embodiments. For example, the processing device 120 may be based on a cloud computing platform, such as a public cloud, a private cloud, a community and a hybrid cloud. However, these changes and modifications will not deviate from the scope of this specification.

[0033] Figure 2 2 is a schematic diagram of an exemplary construction noise early warning system according to some embodiments of the present 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 the processing device 120.

[0034] In some embodiments, the first acquisition module 210 may 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.

[0035] In some embodiments, the first determination module 220 can be used to determine noise source information based on the noise information, where the noise source information includes at least one of the location information of at least one noise source and the intensity of the emitted noise. For more information on how to determine the noise source information, please refer to the description of step 320.

[0036] In some embodiments, the second acquisition module 230 can be used to acquire the noise threshold interval and construction task information of the first user, and the construction task information at least includes the construction location. For more information on how to acquire the noise threshold interval and construction task information of the first user, please refer to the description of step 330.

[0037] In some embodiments, the second determination module 240 may be used to determine the noise simulation value of the construction location based on the noise source information and the construction task information. For more information on how to determine the noise simulation value of the construction location, please refer to the description of step 340.

[0038] In some embodiments, the warning module 250 can be used to determine the warning information based on the noise threshold interval and the noise simulation value, and send the warning information to the user, the user including at least one of the first user and the second user. For more information on how to determine the warning information and send it to the user, please refer to the description of step 350.

[0039] In some embodiments, two or more modules in the construction noise early warning system 200 can be combined into one module, which can implement 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 obtain noise information of the construction site and obtain the noise threshold interval and construction task information of the first user. For 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 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 early warning system 200 can be deleted, or one or more modules can be added to the construction noise early warning system 200.

[0040] Figure 3 is a flow chart of an exemplary construction noise early warning method according to some embodiments of this specification. Figure 3 As shown, the process 300 includes the following steps. In some embodiments, the process 300 may be executed by the processing device 120 .

[0041] Step 310 , obtaining noise information of the construction site. In some embodiments, step 310 may be performed by the first obtaining module 210 .

[0042] The construction site refers to the space where the construction work is carried out. For example, the construction site can be Community A, Airport B, Room D of Building C, etc. Noise information refers to 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 sound time, etc.

[0043] In some embodiments, the processing device 120 can obtain noise information in a variety of 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 by obtaining noise audio information input by the user. For another example, the processing device 120 can obtain noise information through a sound sensor device. A sound sensor device refers to a sensor device that obtains sound-related information. In some embodiments, the sound sensor device can be a sensor for collecting sound set at a fixed position in the construction site. In some embodiments, the sound sensor device can be a sensor for collecting sound that comes with the terminal 130. For example, a built-in microphone of a smartphone, etc. In some embodiments, the sound sensor 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 sensor device can be used independently or in combination. For example, a MEMS microphone array can be set at a fixed position in the construction site for independent use, or it can be connected to a smartphone for joint use. In some embodiments, the sound sensor device can be one or more. For example, a MEMS microphone array can be composed of multiple microphone units, and different microphone units correspondingly obtain noise information of different frequencies.

[0044] In some embodiments, the sound sensing device can pre-process the acquired noise information. For example, the MEMS microphone array can correct and compensate the acquired noise signal through calibration and verification algorithms to eliminate the noise and distortion of the sound sensing device itself. For another example, the built-in microphone of a smartphone can convert the sound signal of the noise collected by the microphone into a digital signal through an application to facilitate the transmission and analysis of the noise information. The digital signal may include sound power level information for subsequent calculation of sound pressure, etc.; the digital signal may also include a time stamp for constructing a noise sequence based on the acquisition time of the sound signal, etc.

[0045] In some embodiments, preprocessing may include data transmission guarantee processing, data collection and integration processing, and data cleaning processing. Data transmission guarantee processing refers to a processing method used to ensure the normal transmission of noise information. For example, data transmission guarantee processing may be to use wireless sensor network (WSN) technology to connect the nodes of the sound sensor device through wireless communication protocols (such as Zigbee, LoRa, etc.) to achieve real-time data transmission and collaborative work. For another example, data transmission guarantee processing may be to use a network topology optimization algorithm to optimize the network structure according to the node location and communication range of the sound sensor device to improve the reliability and efficiency of data transmission. For another example, data transmission guarantee processing may be to transmit the sound sensor device to the upper server through the network to centrally store, process and manage the data to ensure the integrity and security of the data. Data collection and integration processing refers to a processing method for collecting and integrating noise information. For example, data collection and integration processing may be to continuously collect noise information based on preset parameters (for example, sampling frequency, duration, etc.), and convert it into digital data for storage and transmission. For another example, data collection and integration processing may be to correct and compensate the noise information based on calibration and verification algorithms in the collection of noise information to eliminate the noise and distortion of the sound sensor device itself. For another example, data collection and integration processing may be to use time synchronization technology to ensure that the noise information collected between the nodes of the sound sensor equipment has a consistent time stamp, which is convenient for subsequent data integration and analysis. Data cleaning processing refers to a processing method for correcting and optimizing noise information. For example, data cleaning processing may be to perform spectrum analysis on the collected noise information to understand the noise characteristics in different frequency ranges and the potential harm to hearing. For another example, data cleaning processing may be to use a filtering algorithm to denoise the original data of the noise information and reduce stray interference, thereby improving the quality and accuracy of the noise signal. For another example, data cleaning processing may be to use a time-frequency analysis method (such as short-time Fourier transform or wavelet transform, etc.) to convert the noise information into a time-frequency domain representation, and extract the frequency components, energy distribution and time-varying characteristics of the noise.

[0046] Step 320 : Determine noise source information based on the noise information. In some embodiments, step 320 may be performed by the first determination module 220 .

[0047] Noise source information refers to 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, a transport vehicle F, etc. In some embodiments, the noise source information may include at least one of the location information of at least one noise source and the intensity of the emitted noise. Location information refers to information related to the location of the noise source. For example, the geodetic coordinates of the noise source, etc. The intensity of the emitted noise refers to a parameter that characterizes the strength of the noise. For example, the sound pressure level of the noise source, etc.

[0048] 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 inspection or demand.

[0049] 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 noise information of multiple locations carrying timestamp information acquired by a sound sensing device, and the output information may be the spatial position coordinates of the noise source. It is understandable 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, and positions. The TDOA positioning method may be implemented by the following steps:

[0050] Step 1: Calculate the time difference. The processing device 120 can calculate the time difference between any two sound sensor devices in receiving noise information. For example, for N sound sensor devices, the processing device 120 can calculate N(N-1) / 2 time difference values.

[0051] Step 2: Calculate the position coordinates of the noise source. The processing device 120 can calculate the position coordinates of the noise source based on the time difference of the sound wave propagation in space by using the triangulation principle. For example, if the position coordinates of the noise source are (x, y, z), the coordinates of the i-th sound sensor device are (x i ,y i , z i ), then the distance between the i-th sound sensor device and the noise source is expressed as formula (1): Among them, d i represents the distance between the ith sound sensor device and the noise source, x i ,y i 、z i represent the horizontal coordinate, vertical coordinate and vertical coordinate of the ith sound sensor device, respectively, and x, y, z represent the horizontal coordinate, vertical coordinate and vertical coordinate of the noise source, respectively.

[0052] The time difference is expressed as formula (2): Among them, Δt irepresents the time difference between the i-th sound sensor device and the first sound sensor device receiving the sound wave, d1 represents the distance between the i-th sound sensor device and the noise source, and c represents the speed of sound wave propagation. Substitute each time difference into formula (1), obtain the equation group and solve the value of (x, y, z), and the position coordinates of the noise source can be determined. It can be understood 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 plane coordinate system can be used for positioning, and this manual does not limit this.

[0053] Step 3: Optimizing the results: The processing device 120 may optimize the acquired spatial position coordinates of the noise source based on a least square method, a Kalman filter, or the like to improve the positioning accuracy.

[0054] For another example, the preset algorithm may be a sound energy propagation formula method. The input information of the sound energy propagation formula method may be the spatial position coordinates and sound power level information of the noise source, and the output information may be the sound pressure level of the noise source at any position. It is understandable that the spatial position coordinates of the noise source in the input information may be determined by the TDOA positioning method, and the sound power level information may be obtained from the digital signal obtained by processing the sound signal obtained by the sound sensing device. If the sound sensing device is a sound sensor provided by the terminal 130, it may be directly processed and obtained at the terminal 130. If the sound sensing device is an independent sound sensor, it may be uploaded to the processing device 120 through the network 140 for processing and acquisition. The sound energy propagation formula method may be implemented by the following steps:

[0055] 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): L p =L w -20log(r)-11 (3), Among them, L p Indicates the sound pressure level of the noise source at a certain location, L w represents the sound power level of the noise source, and r represents the distance from the noise source to the location.

[0056] Step 2: If there are multiple noise sources, calculate the total sound pressure level at any location. The processing device 120 can calculate the total sound pressure level at any location by energy addition, as shown in formula (4): Among them, L p ’ It represents the total sound pressure level of all noise sources at a certain location, n represents the number of noise sources, It is expressed as the sound pressure level of the ith noise source at the location, which can be calculated based on formula (3). It can be understood that 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 the location and determine the total sound pressure level.

[0057] Step 3, optimize the results. The processing device 120 can consider the directional characteristics of the noise source and add a directional correction factor when calculating the sound pressure level. If there are environmental shielding objects, the processing device 120 can also introduce an attenuation coefficient to reduce the impact of shielding, such as walls in the longitudinal and lateral spaces. The processing device 120 can also use methods such as Monte Carlo simulation to optimize and correct the calculation results to improve the calculation accuracy.

[0058] In some embodiments, the noise information may include noise information of multiple spatial points within the construction site.

[0059] Multiple spatial points refer to multiple points in the public space. For example, multiple spatial points can be (x1, y1, z1), (x2, y2, z2), ..., (x n ,y n , z n ), etc., wherein x, y, and z represent the longitude, latitude, and altitude of the plurality of spatial points, respectively. In some embodiments, the plurality of spatial points may be a plurality of fixed spatial points or a plurality of mobile spatial points. For example, the plurality of spatial points may be spatial points at which a plurality of sound sensing devices are fixedly arranged. For another example, the plurality of spatial points may be spatial points corresponding to when a plurality of mobile sound sensing devices carried by a plurality of users obtain noise information.

[0060] In some embodiments, the processing device 120 may obtain noise information of multiple spatial points in a variety of ways. In some embodiments, the processing device 120 may determine noise source information based on the noise information of multiple spatial points through a preset algorithm, a machine learning model, etc. The specific method may refer to the above-mentioned related description.

[0061] In some embodiments of the present specification, by setting the noise information to include the noise information of multiple spatial points in the construction site, the noise source information is determined based on the noise information of the multiple spatial points, so as to obtain as much noise data as possible. By performing calculations and analysis through a large number of data samples, it is helpful to determine more accurate noise source information and avoid errors caused by determining information through a single data sample.

[0062] Step 330 , obtaining the noise threshold interval and construction task information of the first user. In some embodiments, step 330 may be performed by the second obtaining module 230 .

[0063] The first user refers to the executor of the construction task. For example, a worker, etc. The noise threshold interval refers to an interval consisting of different noise values. For example, the noise threshold interval may be (a, b), (b, c), etc., where a, b, and c represent different noise thresholds. In some embodiments, the noise threshold interval may include multiple decibel intervals that have different degrees of impact on the health of the first user. For example, the noise threshold interval may be (a, b), (b, c), (c, d), and (d, e), where a, b, c, d, and e represent noise thresholds from small to large decibels, where (a, b) has no effect on the health of the first user A, (b, c) has a slight effect on the health of the first user A, (c, d) has a moderate effect on the health of the first user A, and (d, e) has a severe effect on the health of the first user A.

[0064] In some embodiments of the present specification, by setting the noise threshold interval to include multiple decibel intervals that have different degrees of impact on the health of the first user, a personalized noise interval can be set for the first user, so that different noise measures can be implemented in accordance with different noise threshold intervals.

[0065] In some embodiments, the processing device 120 may obtain the noise threshold interval of the first user through a preset algorithm, a machine learning model, etc.

[0066] For example, the processing device 120 may process the health data, work data, etc. of the first user based on the noise threshold interval determination model to determine the noise threshold interval. The noise threshold interval determination model may be a machine learning model. The types of noise threshold interval determination models may be multiple. For example, the noise threshold interval determination model may include a neural network model (NN), a deep neural network (DNN) model, a convolutional neural network (CNN) model, etc. or any combination thereof. In some embodiments, the input of the noise threshold interval 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 interval. The health data of the first user refers to health condition related data, such as hearing test values, etc. Work data refers to construction work related data, such as working hours, etc. The aforementioned data may be obtained based on the user inputting the historical physical examination data, historical work data, etc. of the first user. In some embodiments, the noise threshold interval determination model may be obtained through training. The processing device 120 may train an initial noise threshold interval determination model based on a training sample 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, and establish a loss function based on the label and the output result of the initial noise threshold interval determination model, and update the parameters of the initial noise threshold interval determination model. When the loss function of the initial noise threshold interval determination model meets the preset conditions, the model training is completed, and the noise threshold interval 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 sample can be the health data and work data of the first user of the sample, which can be obtained through historical data; the label can be the noise threshold interval of the first user of the sample, which can be obtained through manual annotation. In some embodiments, the processing device 120 can obtain the physiological information of the first user and determine the noise threshold interval. For more information on determining the noise threshold interval, please refer to Figure 4 and its related description.

[0067] Construction task information refers to information related to the task of the construction work. 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.

[0068] The construction location refers to the specific location where the first user performs construction, which can be represented by spatial location coordinates. In some embodiments, the processing device 120 can obtain the construction task information in a variety of ways. For example, the processing device 120 can obtain the construction task information by obtaining multiple user input information. For another example, the processing device 120 can obtain the construction task information through a storage device inside or outside the construction noise warning system 200.

[0069] Step 340 , determining the noise simulation value of the construction location based on the noise source information and the construction task information. In some embodiments, step 340 may be performed by the second determination module 240 .

[0070] The noise simulation value refers to the noise decibel value of a certain location determined by simulation. In some embodiments, the processing device 120 can calculate and determine the noise simulation value of the construction location through a preset algorithm based on the noise source information and the construction task information. For the specific content of the preset algorithm, please refer to the relevant description of the aforementioned sound energy propagation formula method.

[0071] In some embodiments, the processing device 120 may determine the target construction task corresponding to the at least one noise source based on the location information of the at least one noise source; obtain the planned construction time of the target construction task; determine whether 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 the at least one noise source including at least one target noise source, determine the noise simulation value based on the noise source information of the at least one target noise source. For more information on determining the noise simulation value, see Figure 5 and its related description.

[0072] Step 350 , based on the noise threshold interval and the noise simulation value, determine warning information, and send the warning information to the user. In some embodiments, step 350 may be performed by the warning module 250 .

[0073] Warning information refers to the relevant content of the advance warning of noise impact. For example, the warning information may be to dissuade the first user from performing construction tasks, to prompt the first user to install sound insulation equipment, etc. In some embodiments, the processing device 120 may determine the warning information in a variety of ways based on the noise threshold interval and the noise simulation value. For example, the processing device 120 may determine the warning information through preset conditions based on the noise threshold interval and the noise simulation value. The preset conditions may be set based on experience or demand. For example, the preset conditions may be to determine that the noise simulation value is within the noise threshold interval that has no effect on the health of the first user, and determine that the warning information is no indication; to determine that the noise simulation value is within the noise threshold interval that has a slight effect on the health of the first user, and determine that the warning information is to prompt the first user to install sound insulation equipment; to determine that the noise simulation value is within the noise threshold interval that has a severe effect on the health of the first user, and determine that the warning information is to dissuade the first user from performing construction tasks, etc. For another example, the processing device 120 may determine the warning information based on the noise threshold interval and the noise simulation value through a preset algorithm, a machine learning model, etc.

[0074] The user refers to a user of the construction noise warning system. In some embodiments, the user includes at least one of a first user and a second user. The second user refers to a construction management personnel, such as a manager of the first user.

[0075] In some embodiments, the processing device 120 may send warning information to the user via wired or wireless transmission.

[0076] In some embodiments, the processing device 120 can determine whether at least one noise source has a corresponding target construction task based on the positioning information of at least one noise source; designate a noise source as an invalid noise source in response to whether there is a noise source with a corresponding target construction task among at least one 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.

[0077] The target construction task refers to the construction task corresponding to the noise source. For example, the construction task H corresponding to the noise equipment 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 laying, and concrete laying requires the use of a concrete mixer, then concrete laying is the target construction task of the 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 the noise source.

[0078] 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 is provided with 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.

[0079] In some embodiments, the processing device 120 can compare the location information of the noise source to see if there is corresponding construction task information in the preset table. If so, it continues to compare whether the current time is in the construction time period in the construction task information. If so, it is determined that at least one noise source has a corresponding target construction task. If one of the above conditions is not met, it is determined that at least one noise source does not have a noise source corresponding to the target construction task. Traverse all noise sources. If there is at least one noise source that does not have a noise source corresponding to the target construction task, it is determined that at least one noise source does not have a noise source corresponding to the target construction task.

[0080] Invalid noise sources refer to noise sources generated by abnormal construction operations, such as noise sources generated by risk accidents, noise sources of external interference, etc. In some embodiments, in response to whether there is a noise source corresponding to the target construction task in at least one noise source, the processing device 120 can directly designate the noise source as an invalid noise source.

[0081] In some embodiments, the processing device 120 may determine warning information based on the noise source information of the invalid noise source through a preset rule, and send the warning information to the second user. The preset rule may be set based on experience or demand. For example, the preset rule may be that in response to the noise source information of the invalid noise source, the warning information is determined to be sending the location information of the invalid noise source to prompt the user to go for detection.

[0082] In some embodiments of the present specification, by determining whether at least one noise source has a corresponding target construction task based on the positioning information of at least one noise source; designating a noise source as an invalid noise source in response to whether there is a noise source with a corresponding target construction task among at least one noise source; determining warning information based on the noise source information of the invalid noise source, and sending the warning information to a second user, it is possible to effectively identify whether the noise source is generated by normal construction operations and avoid construction accidents caused by abnormal noise.

[0083] In some embodiments of the present specification, by obtaining noise information of the construction site; determining noise source information based on the noise information; obtaining the noise threshold interval 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 warning information based on the noise threshold interval and the noise simulation value, and sending the warning information to the user, it is possible to comprehensively analyze the relevant information detected for each individual construction worker, accurately assess 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 comprehensiveness, effectiveness and sustainability of noise management, avoid health and safety hazards to workers, and ensure the normal progress of construction operations.

[0084] Figure 4 is a schematic diagram of an exemplary construction noise early warning method according to some embodiments of this specification.

[0085] In some embodiments, the processing device 120 may obtain physiological information 420 of the first user; and determine a noise threshold interval 430 based on the physiological information 420 .

[0086] 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 may obtain the physiological information 420 of the first user through a sensor 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.

[0087] In some embodiments, the processing device 120 may determine the noise threshold interval 430 by establishing a regression model or other related models based on the physiological information 420. The specific formula used by the model may be set based on experience or demand, 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, wherein the constant term and coefficient may be set based on experience or demand.

[0088] In some embodiments, the construction task information may further include a construction task status 410. The construction task status 410 refers to information related to the execution status of the construction task. In some embodiments, the construction task status 410 includes to be executed 411, executing 412, or after execution 413.

[0089] In some embodiments of the present specification, the construction task information is set to also include a construction task status 410, and the construction task status 410 includes to be executed 411, executing 412 or after execution 413, so as to facilitate the subsequent determination of different physiological information and early warning measures based on different construction statuses.

[0090] In some embodiments, the construction task status 410 is to be executed 411, the physiological information 420 may be the latest physiological information 421 of the first user, and the processing device 120 may send a warning message 460 to the user before the first user enters the construction site.

[0091] The most recent physiological information 421 refers to the most recently measured physiological information of the user, for example, the most recent physiological information determined by a regular physical examination, the most recent physiological status reported by a worker, the last physiological data collected by a sensor device, and the like.

[0092] It is understandable that before the construction task is executed, the processing device 120 should evaluate the physical condition of the first user based on the most recent physiological data, and send a warning message 460 to the first user before the first user enters the construction site, so as to facilitate early risk warning and corresponding protective measures.

[0093] 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, a warning message 460 is sent to the user before the first user enters the construction site, so that the health status of the workers can be analyzed in advance and warnings or suggestions can be given in time to contain risks before construction begins.

[0094] In some embodiments, in response to the early warning information 460, in order to dissuade the first user from performing the construction task, the gate of the construction site is instructed to prohibit the first user from passing.

[0095] It is understandable that the gate is set at the entrance and exit of the construction site to facilitate the management of personnel entering and leaving the construction site. When the warning information 460 is to dissuade the first user from performing the construction task, a control instruction can be directly sent to the gate of the construction site to prohibit the corresponding first user from entering.

[0096] In some embodiments of the present specification, in response to the early warning information 460, in order to dissuade the first user from performing the construction task, the gate of the construction site is instructed to prohibit the first user from passing, thereby preventing workers who are not suitable for construction work from forcibly entering the construction site and causing safety hazards.

[0097] In some embodiments, in response to the early warning information 460 , in order to dissuade the first user from performing the construction task, a task change menu is sent to the first user.

[0098] The task change menu refers to an operation page for changing a 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 a variety of ways. For example, the task change menu can be generated based on user input information or historical data stored in a storage device.

[0099] In some embodiments, the task change menu may include a recommended task list. The recommended task list refers to a list of construction tasks recommended to the user. For example, the recommended task list may include a plurality of construction tasks recommended for the user to perform. In some embodiments, the processing device 120 may determine a candidate construction area for the first user based on the noise threshold interval 430 of the first user; obtain the type of work information of the first user; and determine a recommended task list based on the type of work information and the candidate construction area.

[0100] In some embodiments, the processing device 120 can obtain noise information of all construction areas, compare it with the noise threshold interval 430 of the first user, and select the construction area whose noise information is within the noise threshold interval 430 acceptable to the first user as the candidate construction area.

[0101] The type of work information refers to information related to the type of work. For example, the specific type of work, the length of time engaged in the type of work, etc. In some embodiments, the processing device 120 can obtain the type of work information of the first user in a variety of ways. For example, the processing device 120 can obtain the type of work information of the first user by obtaining user input information. For another example, the processing device 120 can obtain the type of work information of the first user by reading information in a memory inside or outside the construction noise early warning system.

[0102] In some embodiments, the processing device 120 can compare and determine the construction tasks in the candidate construction area that match the work type information of the first user, and integrate them as a recommended task list.

[0103] In some embodiments of the present specification, a task change menu is set to include a recommended task list, and based on the first user's noise threshold interval 430, a candidate construction area for the first user is determined; the first user's job type information is obtained; based on the job type information and the candidate construction area, a recommended task list is determined. When the current task is not suitable for the worker to perform, candidate tasks that match the worker's health status and job type information can be recommended for the worker to select and replace, thereby avoiding waste of human resources and ensuring the worker's income.

[0104] In some embodiments, the construction task state 410 is in progress 412, and 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 sensor device (e.g., a portable health monitor, a smart bracelet, etc.) carried by the first user.

[0105] In some embodiments, the processing device 120 can determine the real-time noise threshold interval 430 of the first user based on the current physiological information 422 of the first user, and then determine the warning information 460 based on the noise simulation value of the construction location of the first user and send it to the user. For more information about determining the warning information 460 based on the noise threshold interval 430 and the noise simulation value, please refer to Figure 3 and its related description.

[0106] In some embodiments of the present specification, by setting the construction task status 410 to being executed 412, the physiological information 420 may be the current physiological information 422 of the first user, and the user's health status may be monitored in real time and timely adjustments may be made.

[0107] 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 warning information 460 , and send the warning information 460 to the user 470 .

[0108] Noise exposure information 440 refers to relevant information about human body exposure to noise environment, such as noise exposure time, noise exposure dose, etc. Noise exposure time refers to the time when human body is exposed to noise environment. Noise exposure dose refers to a parameter measuring the degree of human body exposure to high noise environment.

[0109] In some embodiments, the processing device 120 may determine the noise exposure information 440 by calculation based on the noise information and the construction task information. For example, the processing device 120 may determine the noise exposure dose by calculation using formula (5): Dose = (C1 / T1) + (C2 / T2) + ... + (C n / T n ) (5), Where Dose represents the noise exposure dose, C1-C n It represents the difference between the noise value in different time periods and the noise threshold, T1-T n Indicates the noise exposure time in the corresponding time period.

[0110] For another example, the processing device 120 may calculate and determine the noise exposure time using formula (6): Exposure Time=T1+T2+...+T n (6) Among them, Exposure Time represents the noise exposure time, T1-T nIndicates the time that the human body is exposed to high noise environment in different time periods.

[0111] The hearing loss risk information 450 refers to the relevant parameter information that characterizes the hearing loss risk of the user. In some embodiments, the hearing loss risk information 450 may include a hearing loss risk level: the hearing loss risk level is (0, 85dB) indicating no damage, [85dB, 90dB) indicating first-level damage, [90dB, 95dB) indicating second-level damage, [95dB, 100dB) indicating third-level damage, and [100dB, +∞) indicating fourth-level damage.

[0112] 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 by formula (7) based on the noise exposure information 440: Damage Level = 8.75 * log 10 (Dose) + 90 (7), Among them, Damage Level indicates the risk level of hearing damage.

[0113] In some embodiments, the processing device 120 may determine the warning information 460 based on the hearing damage risk information 450 through preset rules, and send the warning information 460 to the user 470. The preset rules may be set based on experience or demand. For example, the preset rules may be that if the hearing damage risk level is no damage, the warning information 460 is determined to be no warning; if the hearing damage risk level is level one damage or level two damage, the warning information 460 is determined to be a recommendation to wear sound insulation equipment; if the hearing damage risk level is level three damage or level four damage, the warning information 460 is determined to be a prohibition on the user from performing construction work, etc.

[0114] In some embodiments of the present specification, by setting up to obtain the noise exposure information 440 of the first user; based on the noise exposure information 440, determining the hearing damage risk information 450 of the first user; based on the hearing damage risk information 450, determining the warning information 460, and sending the warning information 460 to the user, the potential health hazards of the user after completing the construction task can be efficiently and intelligently determined, and timely adjustments can be made, which helps to maintain the hearing health of the workers.

[0115] In some embodiments of the present specification, by obtaining the physiological information 420 of the first user and determining the noise threshold range 430 based on the physiological information 420, the actual noise threshold range 430 can be determined based on the physical health of each worker, so as to facilitate the subsequent arrangement and adjustment of construction tasks.

[0116] Figure 5 is a schematic diagram of an exemplary determination of a noise simulation value 590 according to some embodiments of the present specification.

[0117] In some embodiments, the processing device 120 can 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; determine whether at least one noise source 510 includes at least one target noise source 560 based on the planned construction time 540 and the construction task information 550 of the first user; 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 the at least one target noise source 560.

[0118] 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, and if there is a consistent construction task, determine that the construction task is the target construction task 530 corresponding to the at least one noise source 510 .

[0119] The planned construction time 540 refers to the time when the construction task is planned to be constructed. For example, the planned construction time 540 of the 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 and determine the planned construction time 540. For more information about obtaining the construction task information 550, see Figure 3 and its related description.

[0120] The target noise source refers to the noise source that emits the corresponding noise when the first user performs the 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, 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. If all noise sources are traversed and none of them are the target noise source, it means that at least one noise source 510 does not include at least one target noise source 560.

[0121] In some embodiments, the processing device 120 may determine the noise simulation value 590 by a preset algorithm 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. The preset algorithm may be determined based on experience or demand. For example, the preset algorithm may be an acoustic energy propagation formula method. For more information about the acoustic energy propagation formula method, see Figure 3 and its related description.

[0122] In some embodiments, the processing device 120 may send a warning message to the user in response to at least one noise source 510 not including at least one target noise source 560, prompting the user to check based on the location information 520 of the noise source to avoid accidents such as equipment damage and worker injury.

[0123] 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; based on the noise source information 570 of at least one target noise source 560, determine the noise simulation values ​​590 corresponding to the multiple time intervals 580.

[0124] It is understandable that different target noise sources have different sounding 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 are different. The sounding time refers to the time when the target noise source emits noise. In some embodiments, the processing device 120 can directly obtain the sounding time of the target noise source based on the construction task information 550.

[0125] 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 emission time of each target noise source. For example, the target construction task 5301 corresponds to the target noise source 1, the target noise source 2, and the target noise source 3, the planned construction time 540 is 09:00-16:00, the sound emission time of the target noise source 1 is 09:00-13:00, the sound emission time of the target noise source 2 is 14:00-15:00, and the sound emission time of the target noise source 3 is 10:00-16:00, 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 which, (09:00-10:00) target noise source 1 makes sound; (10:00-13:00) target noise source 1 and target noise source 3 make sound; (13:00-14:00) target noise source 3 makes sound; (14:00-15:00) target noise source 2 and target noise source 3 make sound; (15:00-16:00) target noise source 3 makes sound.

[0126] 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 the target noise source 1 makes a sound during (09:00-10:00), only the noise simulation value 590 from the target noise source 1 to the first user's construction position is calculated as the noise simulation value 590 corresponding to the time interval 580; if the target noise source 2 and the target noise source 3 make a sound during (14:00-15:00), the noise simulation value 590 from the target noise source 2 to the first user's construction position is calculated respectively, and the sum of the two is used as the noise simulation value 590 corresponding to the time interval 580. For the specific method of calculating the noise simulation value 590, please refer to Figure 3 and its related description.

[0127] In some embodiments of the present 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, the noise simulation values ​​590 corresponding to the multiple time intervals 580 are determined. The specific situation can be analyzed specifically, and the noise simulation values ​​for multiple different time periods can be obtained by comprehensive calculation based on the noise sources in different time periods to determine a more accurate noise simulation value.

[0128] In some embodiments of the present specification, a target construction task 530 corresponding to at least one noise source 510 is determined based on the positioning information 520 of at least one noise source 510; a 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 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, a noise simulation value 590 is determined based on the noise source information 570 of the at least one target noise source 560. This can clarify the specific construction task to which the noise source belongs, determine whether it conforms to the actual construction work situation of the user, and facilitate the calculation of a noise simulation value 590 with high accuracy.

[0129] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only for example and does not constitute a limitation of 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 suggested in this specification, so such modifications, improvements and corrections still belong to the spirit and scope of the exemplary embodiments of this specification.

[0130] At the same time, this specification uses specific words to describe the embodiments of this specification. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of this specification. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in 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.

[0131] In addition, unless explicitly stated in the claims, the order of the processing elements and sequences described in this specification, the use of alphanumeric characters, or the use of other names are not intended to limit the order of the processes and methods of this specification. Although the above disclosure discusses some invention embodiments that are currently considered useful through various examples, it should be understood that such details are only for illustrative purposes, and the attached claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that are consistent with 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 by software solutions, such as installing the described system on an existing server or mobile device.

[0132] Similarly, it should be noted that in order to simplify the description disclosed in this specification and thus help understand one or more embodiments of the invention, in the above description of the embodiments of this specification, multiple features are sometimes combined into one embodiment, figure or description thereof. However, this disclosure method does not mean that the features required by the subject matter of this specification are more than the features mentioned in the claims. In fact, the features of the embodiments are less than all the features of the single embodiment disclosed above.

[0133] In some embodiments, numbers describing the number of components and attributes are used. It should be understood that such numbers used in the description of the embodiments are modified by the modifiers "about", "approximately" or "substantially" in some examples. Unless otherwise specified, "about", "approximately" or "substantially" indicate 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 change according to the required features of individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining digits. Although the numerical domains and parameters used to confirm the breadth of their range in some embodiments of this specification are approximate values, in specific embodiments, the setting of such numerical values ​​is as accurate as possible within the feasible range.

[0134] Each patent, patent application, patent application publication, and other materials, such as articles, books, specifications, publications, documents, etc., cited in this specification are hereby incorporated by reference in their entirety. Except for application history documents that are inconsistent with or conflicting with the contents of this specification, documents that limit the broadest scope of the claims of this specification (currently or later attached to this specification) are also excluded. It should be noted that if the descriptions, definitions, and / or use of terms in the materials attached to this specification are inconsistent or conflicting with the contents described in this specification, the descriptions, definitions, and / or use of terms in this specification shall prevail.

[0135] 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, as an example and not a limitation, alternative configurations of the embodiments of this specification may be considered 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 early warning method, characterized in that: include: Obtain noise information from construction sites; Based on the noise information, determine noise source information, where the noise source information includes at least one of location information of at least one noise source and intensity of emitted noise; Acquire a noise threshold interval and construction task information of a first user, wherein the construction task information includes at least a construction location; Determining the 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: Based on the positioning information of the at least one noise source, determining a 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 the at least one noise source includes at least one target noise source, 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 noise source information of the at least one target noise source; Based on the noise threshold interval and the noise simulation value, early warning information is determined, and the early warning information is sent to a user, wherein the user includes at least one of the first user and the second user.

2. The method according to claim 1, characterized in that The step of obtaining the noise threshold interval of the first user includes: Acquiring physiological information of the first user; and The noise threshold interval is determined based on the physiological information.

3. The method according to claim 2, characterized in that The construction task information also includes a construction task status, and the construction task status includes to be executed, being executed, or after being executed.

4. The method according to claim 3, characterized in that The construction task status is to be executed, the physiological information is the latest 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.

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

6. The method according to claim 3, characterized in that After the construction task status is the execution, sending the warning information to the user includes: Acquiring noise exposure information of the first user; Determining hearing damage risk information of the first user based on the noise exposure information; and Based on the hearing damage risk information, the warning information is determined, and the warning information is sent to the user.

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

8. The method according to claim 1, characterized in that Based on the noise source information of the at least one target noise source, determining the noise simulation value comprises: 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 The noise simulation values ​​corresponding to the multiple time intervals are determined based on the noise source information of the at least one target noise source.

9. The method according to claim 1, characterized in that: The noise threshold interval includes a plurality of decibel intervals that have different degrees of impact on the health of the first user.

10. A construction noise early warning system, characterized in that: include: A first acquisition module is configured to acquire noise information of a construction site; A first determination module is configured to determine noise source information based on the noise information, wherein the noise source information includes at least one of location information of at least one noise source and intensity of emitted noise; A second acquisition module is configured to acquire a noise threshold interval and construction task information of the first user, wherein the construction task information at least includes a construction location; The second determination module is configured to determine the 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: Based on the positioning information of the at least one noise source, determining a 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 the at least one noise source includes at least one target noise source, 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 noise source information of the at least one target noise source; The warning module is configured to determine warning information based on the noise threshold interval and the noise simulation value, and send the warning information to a user, wherein the user includes at least one of the first user and the second user.

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