A method, system, device, and medium for noise control of a mobile crushing station

Abstract

The application relates to the technical field of crushing noise control, in particular to a noise control method, system and device of a mobile crushing station and a medium, which comprises the following steps: acquiring vibration noise signals of the crushing station, performing frequency domain conversion on the vibration noise signals to obtain frequency spectrum analysis information; analyzing a frequency band with concentrated noise energy according to the frequency spectrum analysis information to obtain distribution situation information and noise intensity information and generate first reverse sound wave information; acquiring historical information of the crushing station, constructing a sound wave prediction model according to the historical information of the crushing station; analyzing the distribution situation information, the noise intensity information and working point position information according to the sound wave prediction model to obtain second reverse sound wave information; and adjusting the first reverse sound wave information according to the second reverse sound wave information to obtain reverse sound wave output information acting on a loudspeaker, so that the noise generated under multiple use environments and multiple working conditions of the mobile crushing station can be accurately and rapidly responded to, and the operation stability of the mobile crushing station is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of crushing noise control, in particular to a noise control method, system, device and medium of a mobile crushing station. BACKGROUND

[0002] With the increasing demand for material processing in the mining, construction, waste recycling and other industries, crushing equipment plays an increasingly important role in modern industry.

[0003] When a conventional crushing station is working, due to the impact of materials in the crushing cavity and the operation of the equipment itself, relatively complex vibration noise will be generated. The noise sources include the impact sound of materials in the crushing cavity, the mechanical noise of each part of the equipment, etc. The noise spectrum usually contains low-frequency and high-frequency components. The low-frequency noise may be represented as a loud rumbling sound, while the high-frequency noise is often sharp and piercing, which can cause potential damage to the structure of the equipment, thereby affecting the service life and stability of the equipment. In view of these noises, the equipment is usually increased with anti-vibration materials according to the use experience, so as to reduce the vibration.

[0004] Compared with the fixed crushing station, the mobile crushing station has higher flexibility and adaptability, and can work at different construction sites. However, this flexibility also brings a more complex working environment. The mobile crushing station usually operates in variable terrain and environment, resulting in significant changes in vibration mode and noise characteristics. For example, the unevenness of the road, the type of soil and its carrying capacity will all affect the vibration state of the equipment and the generation of noise, and the operation mode of the mobile crushing station under different working conditions will also have a significant impact on its noise characteristics, such as crushing, screening, transportation and other working conditions. In view of the above variable environment and working conditions, the mobile crushing station will generate different noises under different environments and working conditions. The traditional method of adding anti-vibration materials to the equipment according to the use experience cannot be well adapted to the mobile crushing station, affecting the effect and efficiency of noise processing, and even affecting the running stability and life of the mobile crushing station. The above problems need to be solved. SUMMARY

[0005] In order to more accurately and quickly respond to the noise generated by the mobile crushing station under multiple use environments and multiple working conditions, and improve the running stability of the mobile crushing station, the present application provides a noise control method, system, device and medium of a mobile crushing station, which adopts the following technical solutions:

[0006] In a first aspect, the present application provides a noise control method of a mobile crushing station, comprising:

[0007] Obtaining the vibration noise signal of the crushing station, performing frequency domain conversion on the vibration noise signal to obtain frequency spectrum analysis information;

[0008] According to the spectrum analysis information, the frequency band where the noise energy is concentrated is analyzed to obtain distribution information and noise intensity information;

[0009] According to the distribution information and the noise intensity information, first reverse sound wave information is generated;

[0010] Crushing station historical information is obtained, and a sound wave prediction model is constructed according to the crushing station historical information;

[0011] Work point position information is obtained, and the distribution information, the noise intensity information and the work point position information are analyzed according to the sound wave prediction model to obtain second reverse sound wave information;

[0012] The first reverse sound wave information is adjusted according to the second reverse sound wave information to obtain reverse sound wave output information acting on the loudspeaker.

[0013] Preferably, it further comprises:

[0014] In the case of generating reverse sound wave output information, a plurality of vibration sensor signals of the vibration noise signal are analyzed to obtain noise source direction information, and the loudspeaker used to play the reverse sound wave output information is matched according to the noise source direction information.

[0015] Preferably, it further comprises:

[0016] According to the noise source direction information and the corresponding loudspeaker position information, a position adjustment process is performed to obtain angle adjustment information for adjusting the direction of the loudspeaker.

[0017] Preferably, it further comprises:

[0018] According to the noise source direction information and the corresponding loudspeaker position information, distance analysis is performed to obtain distance information, and the reverse sound wave output information is compensated according to the distance information and a pre-constructed sound wave attenuation model to obtain compensation reverse sound wave information acting on the loudspeaker.

[0019] Preferably, it further comprises:

[0020] Crushing station structure parameters are obtained, and a crushing station entity model is constructed according to the crushing station structure parameters;

[0021] Crushing station operation parameters are obtained, and vibration numerical simulation is performed according to the crushing station entity model and the crushing station operation parameters to obtain the crushing station natural frequency;

[0022] The crushing station natural frequency and the spectrum analysis information are compared to determine whether there is a similar frequency condition, and the resonance frequency used for optimization reference is selected in the case of similar frequency;

[0023] According to the resonance frequency and the corresponding noise source direction information, a structure layout adjustment scheme is matched.

[0024] Preferably, it further comprises:

[0025] Determine the noise type according to the distribution information and the noise intensity information, and match the noise vibration threshold according to the noise type;

[0026] In the case of outputting the reverse sound wave output information, the updated noise signal is obtained in real time, the updated noise signal is compared with the noise vibration threshold, and the updated position information for issuing an alarm is obtained in the case that the updated noise signal is greater than the noise vibration threshold.

[0027] Preferably, it further comprises:

[0028] According to the updated noise signal, the sound wave prediction model is updated.

[0029] Preferably, the specific steps of analyzing the vibration noise signal of the plurality of vibration sensor signals are:

[0030] The plurality of vibration sensor signals are analyzed by using the time delay difference method.

[0031] Preferably, the crushing station historical information includes historical noise distribution information, historical noise intensity information, historical crushing station location and historical environment information.

[0032] In a second aspect, the application provides a noise control system of a mobile crushing station, comprising:

[0033] The spectrum analysis module is used for obtaining the vibration noise signal of the crushing station, performing frequency domain conversion on the vibration noise signal, and obtaining spectrum analysis information;

[0034] The distribution situation analysis module is used for analyzing the frequency band where the noise energy is concentrated according to the spectrum analysis information, and obtaining the distribution information and the noise intensity information;

[0035] The first reverse sound wave generation module is used for generating the first reverse sound wave information according to the distribution information and the noise intensity information;

[0036] The prediction model construction module is used for obtaining the crushing station historical information, and constructing the sound wave prediction model according to the crushing station historical information;

[0037] The second reverse sound wave generation module is used for obtaining the working point position information, analyzing the distribution information, the noise intensity information and the working point position information according to the sound wave prediction model, and obtaining the second reverse sound wave information;

[0038] The sound wave output module adjusts the first reverse sound wave information according to the second reverse sound wave information, and obtains the reverse sound wave output information acting on the loudspeaker.

[0039] Preferably, it further comprises:

[0040] The azimuth identification module is configured to analyze the vibration sensor signals of the vibration noise signals to obtain noise source azimuth information in the case of generating the reverse sound wave output information, and match the loudspeaker used for playing the reverse sound wave output information according to the noise source azimuth information.

[0041] Preferably, the method further comprises:

[0042] The azimuth adjustment module is configured to perform position adjustment processing according to the noise source azimuth information and the corresponding loudspeaker position information to obtain angle adjustment information used for adjusting the direction of the loudspeaker.

[0043] Preferably, the method further comprises:

[0044] The distance compensation module is configured to perform distance analysis according to the noise source azimuth information and the corresponding loudspeaker position information to obtain distance information, and compensate the reverse sound wave output information according to the distance information and a pre-constructed sound wave attenuation model to obtain compensation reverse sound wave information acting on the loudspeaker.

[0045] Preferably, the method further comprises:

[0046] The entity analysis module is configured to obtain crushing station structure parameters, and construct a crushing station entity model according to the crushing station structure parameters.

[0047] Obtain crushing station operation parameters, and perform vibration numerical simulation according to the crushing station entity model and the crushing station operation parameters to obtain a crushing station natural frequency.

[0048] Compare the crushing station natural frequency with the frequency spectrum analysis information to determine whether there is a frequency similar case, and select a resonance frequency used for optimization reference in the case of frequency similarity.

[0049] Match a structure layout adjustment scheme according to the resonance frequency and the corresponding noise source azimuth information.

[0050] Preferably, the method further comprises:

[0051] The noise type confirmation module is configured to determine a noise type according to the distribution information and the noise intensity information, and match a noise vibration threshold according to the noise type.

[0052] In the case of outputting the reverse sound wave output information, update noise signals are obtained in real time, the update noise signals are compared with the noise vibration threshold, and in the case that the update noise signals are greater than the noise vibration threshold, update azimuth information used for issuing an alarm is obtained.

[0053] Preferably, the method further comprises:

[0054] The model data update module is configured to update the sound wave prediction model according to the update noise signals.

[0055] Preferably, the specific steps of the orientation recognition module analyzing the vibration noise signals of the vibration sensor signals are as follows:

[0056] The time delay difference method is used to analyze the vibration sensor signals.

[0057] Preferably, the historical information of the crushing station obtained by the prediction model construction module includes historical noise distribution information, historical noise intensity information, historical crushing station location and historical environment information.

[0058] In a third aspect, the present application provides a noise control device for a mobile crushing station, comprising a memory and a processor, the memory stores a computer program, and the processor is configured to run the computer program to execute the noise control method for the mobile crushing station as described above.

[0059] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, wherein the computer program is configured to execute the noise control method for the mobile crushing station as described above when running.

[0060] In summary, compared with the prior art, the technical scheme provided by the present application has at least the following beneficial effects:

[0061] The present application collects the vibration noise signals corresponding to one of the working points of the mobile crushing station, converts the vibration noise signals in the frequency domain, converts the time domain signals to the frequency domain to obtain the frequency spectrum analysis information, analyzes the noise frequency band of the frequency spectrum analysis information, determines the distribution information of the low frequency, medium frequency and high frequency components of the noise and the corresponding noise intensity information, generates the first reverse sound wave information, constructs a model according to the historical information, combines the working point position information to predict the second reverse sound wave information, and generates the reverse sound wave output information by combining the generated information and the predicted information, thereby suppressing the noise of the complex working environment of the mobile crushing station, so that the noise generated in the multiple use environments and multiple working conditions of the mobile crushing station can be more accurately and quickly responded to, and the operation stability of the mobile crushing station is improved. BRIEF DESCRIPTION OF DRAWINGS

[0062] Figure 1 FIG. 1 is a flowchart of the noise control method for a mobile crushing station according to an embodiment of the present application.

[0063] Figure 2 FIG. 2 is a further processing flowchart of the noise control method for a mobile crushing station according to an embodiment of the present application.

[0064] Figure 3 FIG. 3 is a module diagram of the noise control system for a mobile crushing station according to an embodiment of the present application.

[0065] Figure 4 is a schematic diagram of the orientation identification, orientation adjustment and distance compensation modules described in the embodiments of the present application.

[0066] Legend:

[0067] 1, spectrum analysis module; 2, distribution analysis module; 3, first reverse sound wave generation module; 4, prediction model construction module; 5, second reverse sound wave generation module; 6, sound wave output module; 7, orientation identification module; 8, orientation adjustment module; 9, distance compensation module. DETAILED DESCRIPTION

[0068] The following will be described in detail Figures 1-4 The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be limiting.

[0069] Referring to Figure 1 and Figure 2 , a noise control method for a mobile crushing station is provided, which specifically includes:

[0070] Step S1: Obtain the vibration noise signal of the crushing station, and perform frequency domain conversion on the vibration noise signal to obtain spectrum analysis information;

[0071] Step S2: Analyze the frequency band where the noise energy is concentrated according to the spectrum analysis information to obtain distribution information and noise intensity information;

[0072] Step S3: Generate first reverse sound wave information according to the distribution information and the noise intensity information;

[0073] Step S4: Obtain historical information of the crushing station, and construct a sound wave prediction model according to the historical information of the crushing station;

[0074] Step S5: Obtain working point position information, and analyze the distribution information, the noise intensity information and the working point position information according to the sound wave prediction model to obtain second reverse sound wave information;

[0075] Step S6: Adjust the first reverse sound wave information according to the second reverse sound wave information to obtain reverse sound wave output information acting on the loudspeaker.

[0076] Specifically, the present application realizes signal acquisition and transmission by setting multiple vibration sensors and loudspeakers at different positions of the mobile crushing station. The multiple vibration sensors acquire the vibration noise signals of the crushing station under actual working conditions to obtain comprehensive raw data. The loudspeakers feed back the reverse sound waves to actively suppress the noise. First, the vibration sensor acquires the vibration noise signal corresponding to one of the working points of the mobile crushing station, and the vibration noise signal is subjected to frequency domain conversion by using a signal processing algorithm such as fast Fourier transform, so that the vibration noise signal is converted from a time domain signal to a frequency domain to obtain frequency spectrum analysis information. The frequency spectrum analysis information is analyzed for noise frequency band to determine the distribution information of the low, medium and high frequency components of the noise and the corresponding noise intensity information, so as to generate first reverse sound wave information according to the distribution information and the corresponding noise intensity information. Then, a sound wave prediction model is constructed according to historical information, and second reverse sound wave information is predicted in combination with the working point position information, and reverse sound wave output information is generated by combining the generated information and the predicted information, so as to suppress the noise of the complex working environment of the mobile crushing station, so that the noise generated in the multiple use environments and multiple working conditions of the mobile crushing station can be more accurately and quickly responded to. Not only emphasizes the characteristics and flexibility of the mobile crushing station in noise control, but also forms a sharp contrast with the noise control of the traditional fixed crushing station. Comprehensive analysis and control measures will effectively improve the noise management capability of the mobile crushing station, ensure that it can still follow the relevant noise standards in the variable working environment, improve the overall operation efficiency, and improve the operation stability of the mobile crushing station.

[0077] As one of the embodiments, the sensor can monitor and record the vibration noise signal of the equipment in the running process in real time. The collected signal is usually a time domain signal, which contains the superposition of different frequency components and reflects the working state and noise characteristics of the equipment. The embodiment of the present application adopts a signal processing algorithm, such as fast Fourier transform, to convert the collected time domain signal to frequency domain, i.e. the amplitude and phase of each frequency component. After Fourier transform, the frequency spectrum analysis information will show the energy distribution of different frequency components, including low, medium and high frequency parts.

[0078] Then the embodiment of the present application analyzes the frequency spectrum to determine the concentrated frequency band of the noise energy. For example, a specific frequency range can be set, such as low frequency 0-200Hz, medium frequency 200-2000Hz, and high frequency above 2000Hz, so as to identify the characteristics of the noise. The corresponding noise intensity information needs to be extracted to determine the noise intensity of different frequency bands in decibels dB, and the distribution points of the noise are recorded to obtain the frequency spectrum analysis information.

[0079] The embodiment of the application can accurately identify the frequency characteristics of the noise through spectrum analysis, providing a scientific basis for subsequent reverse sound wave generation. Comprehensive noise data can be obtained, which helps to understand the noise performance of the crushing station under different working conditions and provides support for the optimization of noise suppression schemes.

[0080] In one embodiment, during the crushing operation, the time domain signal collected by the vibration sensor is processed by FFT, and the frequency spectrum is displayed in the 100Hz-300Hz frequency band. This means that the noise in this frequency band has a greater impact on the environment. Through further analysis, it is determined that this frequency band is mid-frequency noise, which provides data support for the design of reverse sound waves.

[0081] In another crushing operation scenario, when the device is crushing concrete, the vibration sensor detects spectral information indicating that low-frequency noise, i.e., 50Hz-150Hz noise, is significant. Through this information, it is indicated that the low-frequency vibration noise during operation may interfere with nearby residents, so the generation and output of reverse sound waves should be focused on the low-frequency band, thereby reducing the impact on the environment.

[0082] As one of the implementation manners, the energy distribution of each frequency band, including the amplitude values of low, medium and high frequencies, is extracted from the obtained spectrum analysis information. The spectrum data will be presented in the form of amplitude-frequency curve, and the energy concentration of each frequency band will be displayed in the form of chart.

[0083] By setting a threshold, such as a specific dB value, it is determined which frequency band has a higher noise intensity. Statistical methods such as mean and standard deviation are usually used to determine the significant frequency band. For example, if the noise amplitude in the medium frequency band, i.e., 200Hz-2000Hz, is significantly higher than that in other frequency bands, it is determined that the medium frequency band is the main noise frequency band.

[0084] According to the determined frequency band, the noise intensity of each frequency band is recorded and classified. For example, the average noise intensity and the maximum value of each frequency band are recorded, and data visualization tools such as spectrum graph or column chart are used to visually present the noise intensity distribution of different frequency bands.

[0085] According to the noise frequency band information, the corresponding reverse sound wave is generated. The reverse sound wave refers to the sound wave with opposite phase to the noise signal, and its frequency and intensity match the analyzed noise. The specific DSP digital signal processing algorithm, such as synthesis algorithm, is used to generate the reverse sound wave signal.

[0086] As one of the embodiments, the crushing station historical information includes historical noise distribution information, historical noise intensity information, historical crushing station location and historical environment information.

[0087] Specifically, the crushing station historical information is acquired and a sound wave prediction model is constructed. First, relevant data is collected from the historical records of the crushing station, including past noise levels, equipment operating status, environmental factors such as location, weather, terrain, and fault records, etc. The crushing station historical information data comes from sensor records, operator logs or maintenance records.

[0088] The sound wave prediction model is constructed by first cleaning the collected historical data to remove outliers and noise, ensuring the accuracy of the data. And the data is standardized or normalized to facilitate subsequent analysis.

[0089] Then use statistical methods and machine learning techniques to extract features in order to construct an effective prediction model to identify features related to noise generation, such as workload, device type, running time, etc.

[0090] Then select an appropriate sound wave prediction model, such as a regression model, decision tree or neural network, etc. Use the processed historical data to train the model, adjust the model parameters to improve the accuracy of the prediction, use a part of the historical data as the test set to evaluate the prediction performance of the model, and ensure its effectiveness in actual application.

[0091] After the sound wave prediction model is constructed and trained, the obtained noise distribution information, noise intensity information and working point position information are input into the constructed sound wave prediction model. The sound wave prediction model is used to analyze the input data and predict the noise situation under the given working point conditions.

[0092] The sound wave prediction model will consider the performance under similar conditions in the historical data, thereby generating second reverse sound wave information adapted to the current working environment. The generated second reverse sound wave information includes the expected spectrum and intensity of the noise, indicating the suppression measures to be taken at the specific working point.

[0093] As one of the implementation manners, the frequency domain information of the first reverse sound wave signal and the key features of the second reverse sound wave signal are analyzed, the difference between the first reverse sound wave signal and the second reverse sound wave signal is calculated, and the adjustment factor is set according to the analysis result, which is usually gain, phase shift, etc.

[0094] The difference and the adjustment factor are applied to the first reverse sound wave signal to generate a new signal output, the formula is:

[0095] S output =S1-kS2

[0096] Where, S output is the adjusted reverse sound wave output information, S1 is the first reverse sound wave signal, S2 is the second reverse sound wave signal, and k is the adjustment factor.

[0097] The adjusted signal is digitally filtered, such as using an IIR or FIR filter, to ensure signal stability and suitability for speaker output, quantized, and converted to an analog signal format suitable for the speaker.

[0098] The final adjusted signal is sent to a digital-to-analog converter (DAC) to convert it into an analog signal, ready to act on the speaker, controlling the speaker drive signal to ensure that the reverse sound wave can effectively cancel ambient noise.

[0099] Through a real-time feedback mechanism, such as using sensors to continuously monitor ambient noise, the output signal of the reverse sound wave is continuously adjusted to improve noise reduction effect.

[0100] As one of the embodiments, it also includes:

[0101] In the case of generating reverse sound wave output information, a number of vibration sensor signals of the vibration noise signal are analyzed to obtain noise source direction information, and the noise source direction information is matched with the speaker used to play the reverse sound wave output information.

[0102] The specific steps for analyzing a number of vibration sensor signals of the vibration noise signal are:

[0103] The time delay difference method is used to analyze a number of vibration sensor signals.

[0104] Specifically, the embodiment of the present application converts the time domain signal into a frequency domain signal by using fast Fourier transform (FFT), identifies the main frequency component, uses the time difference of the sound received by the sensor, estimates the direction of the noise source by the triangular positioning algorithm, and determines the main direction of the noise source by comparing the signal strength of each sensor.

[0105] The time delay difference method requires multiple sensors, and multiple vibration sensors are arranged around the rock breaker. The time delay difference of the signals received by multiple sensors is used to locate the noise source. By comparing the arrival time of the noise signals received by different sensors, the position of the noise source can be calculated. Specifically, if there are more than three sensors, triangular positioning or hyper-triangular positioning is included. By using the known sensor positions and measured time delay difference, the coordinates of the noise source can be determined by geometric relationship.

[0106] The embodiment of the present application matches the speaker with the least noise control task and closest to the noise source among the several speakers that have been fixed and installed, and performs noise control by setting a certain weight coefficient to balance the relationship between task quantity and distance, so as to select the most suitable speaker to perform the output work of the reverse sound wave and improve the noise control effect.

[0107] As one of the embodiments, it also includes:

[0108] According to the noise source direction information and the corresponding speaker position information, a position adjustment process is performed to obtain angle adjustment information for adjusting the direction of the speaker.

[0109] Specifically, in the case of outputting the reverse sound wave output information, the orientation of the speaker is fixed, which may cause the reverse sound wave output information to be damaged, so the orientation of the speaker needs to be adjusted so that the output direction is directly opposite the main noise source direction or a direction within a certain range towards the main noise source.

[0110] According to the position information between the selected speaker and the noise source, the application embodiment determines to select a proper number and type of speakers, plans the orientation position of the speaker according to the direction information of the noise source, and ensures that it can cover the main noise source area.

[0111] And real-time feedback monitors the change of noise level, dynamically adjusts the angle of the speaker according to the monitoring data, calculates the required adjustment angle by using an algorithm to ensure that the speaker is oriented towards the main noise source, and specifically uses a PID control algorithm to achieve accurate adjustment. Through digital signal processing (DSP) technology, the reverse sound wave is processed to ensure that its waveform is opposite to the noise phase to achieve the effect of cancellation.

[0112] After the implementation of the application embodiment, the effect of the noise level evaluation system is evaluated by measuring the noise level again, and if the noise level does not meet the expectation, the angle or number of the speakers needs to be adjusted. According to the environmental changes and working conditions, the direction and output of the speaker are adjusted regularly to ensure the sustainability of the noise control effect.

[0113] The application embodiment reduces the damage of the reverse sound wave output information caused by the fixed orientation of the speaker, thereby improving the noise processing effect of the mobile crushing station.

[0114] As one of the implementation manners, it further comprises:

[0115] According to the distance analysis of the noise source direction information and the corresponding speaker position information, distance information is obtained, and the reverse sound wave output information is compensated according to the distance information and the pre-constructed sound wave attenuation model to obtain compensation reverse sound wave information acting on the speaker.

[0116] Specifically, in the process of using the speaker to output the reverse sound wave output information for active noise reduction, the reverse sound wave needs a certain distance from the position where it is output from the speaker to the noise source, and the reverse sound wave may be lost on the way, affecting the effect of active noise reduction. In the case of noise acquisition by the microphone, there is an influencing factor of the distance between the noise source and the speaker.

[0117] According to the distance information obtained by analyzing the noise source direction information and corresponding loudspeaker position information, the reverse sound wave output information is compensated according to the distance information and a pre-constructed sound wave attenuation model. The sound wave propagation model is established, and the reverse sound wave is compensated by considering distance attenuation and environmental factors such as air density, temperature, etc.

[0118] As one of the embodiments, it further includes:

[0119] Obtain the crushing station structure parameters, and construct a crushing station entity model according to the crushing station structure parameters;

[0120] Obtain the crushing station operation parameters, and perform vibration numerical simulation according to the crushing station entity model and the crushing station operation parameters to obtain the crushing station natural frequency;

[0121] According to the comparison between the crushing station natural frequency and the frequency spectrum analysis information, it is judged whether there is a frequency similar case, and the resonance frequency used for optimization reference is selected in the frequency similar case;

[0122] According to the resonance frequency and the corresponding noise source direction information, a structure layout adjustment scheme is matched.

[0123] Specifically, the numerical simulation technology is adopted in the embodiment of the application to establish a three-dimensional entity model of the crushing station, simulate the vibration response of the crushing station under different working conditions, obtain the natural frequency of the crushing station, judge whether there is a resonance frequency similar to the main noise frequency, and if the resonance frequency is found, the structure layout of the crushing station needs to be optimized, the crushing cavity type needs to be adjusted, and the like, to avoid the resonance frequency and reduce the risk of noise amplification.

[0124] The embodiment of the application specifically collects the geometric parameters such as size, shape, material attribute, and the structure parameters such as beam section, support position of the crushing station through field measurement or design drawings, and arranges the collected data into the format required by the structure model, such as needing to use CAD software to preliminarily design the model.

[0125] Then, the three-dimensional entity model of the crushing station is constructed by using the finite element analysis software such as ANSYS, Abaqus, etc. The model is preliminarily verified to ensure that it conforms to the physical reality, which can be verified by comparing known parameters or performing small-scale experiments.

[0126] The running data of the crushing station is collected by the sensor and the data acquisition system, including load, working frequency, vibration data, noise level, etc. The above running parameters are arranged in the database for subsequent analysis and simulation, so as to realize numerical simulation.

[0127] In the finite element analysis software, modal analysis is carried out, the natural frequency and vibration mode of the crushing station are calculated, the operating parameters are input to simulate the behavior under the actual working condition, the natural frequency is extracted from the simulation result, and the frequency-vibration mode correlation diagram is generated.

[0128] The running data is subjected to frequency spectrum analysis by using fast Fourier transform, the main frequency components generated in the running process are identified, the extracted natural frequency is compared with the frequency spectrum analysis result, whether there is a frequency similar situation is judged, and the frequency similar situation exists, the frequency that may cause resonance is recorded.

[0129] Then, according to the frequency similar result, the most influential resonance frequency is selected as the optimization reference, and the structure layout adjustment scheme is matched according to the resonance frequency and the corresponding orientation information, so as to accurately match the appropriate treatment method for the scene, thereby reminding the user to adjust the structure of a part of the mobile crushing station.

[0130] The structure layout adjustment scheme specifically includes increasing damping through structure improvement, adding damping materials at key parts of the stone crusher, such as the shell, support structure, etc., to reduce the vibration amplitude and reduce the resonance peak value, and common damping materials include rubber, polyurethane, etc. For example, the design of the stone crusher is optimized, the stiffness of the structure is increased or the shape is adjusted to reduce the natural frequency and move away from the noise frequency.

[0131] The structure layout adjustment scheme specifically includes changing the shape or size of the crusher, changing the size or shape of some components such as the vibrating screen, hammer head, etc. to avoid the natural frequency of the main noise frequency. Or add additional mass to some parts to change the vibration characteristics to adjust the natural frequency.

[0132] As one of the implementation manners, it further includes:

[0133] Determine the noise type according to the distribution information and the noise intensity information, and match the noise vibration threshold according to the noise type;

[0134] In the case of outputting the reverse sound wave output information, the updated noise signal is obtained in real time, the updated noise signal is compared with the noise vibration threshold, and the updated orientation information for issuing an alarm is obtained in the case that the updated noise signal is greater than the noise vibration threshold.

[0135] Further includes:

[0136] Update the sound wave prediction model according to the updated noise signal.

[0137] Specifically, the embodiments of the present application use high-sensitivity noise sensors to collect on-site noise data, analyze the noise data according to parameters such as frequency and amplitude, and determine the type of noise, such as mechanical noise, impact noise, environmental noise, etc. Then collect and analyze historical noise data to determine the noise level under normal operating conditions, refer to relevant industry standards and regulations, set noise vibration thresholds to ensure compliance with safety and environmental requirements, and transmit the collected noise signals to the processing unit in real time for analysis and updating.

[0138] The real-time updated noise signal is compared with the preset noise vibration threshold. If the updated noise signal is greater than the noise vibration threshold, the system will identify it as an abnormal noise event.

[0139] The embodiments of the present application will trigger an alarm when an abnormality is detected, which may include audible and visual alarms, SMS notifications, or system log records and other relevant information.

[0140] The embodiments of the present application also combine GPS or other positioning technologies to obtain the current location of the device and the direction of the noise source. In the event of an abnormal situation, real-time update and output alarm information, including the specific location of the noise source. All monitoring data, threshold comparison results and alarm information are stored in the database for subsequent analysis. The embodiments of the present application can effectively implement a noise processing and monitoring system for mobile crushing stations, ensuring real-time monitoring and processing of noise during operation.

[0141] The embodiments of the present application are aimed at mobile crushing stations, which have different noise conditions in different locations and under different working conditions than ordinary fixed noise conditions. For example, mobile crushing stations face different geographical environments. Different geographical environments, such as cities, rural areas, and mountainous areas, have a significant impact on noise propagation when the mobile crushing station is operating. Therefore, factors such as reflection, absorption, and diffusion of the surrounding environment need to be considered. Different environmental factors, such as wind speed, wind direction, and humidity, will affect noise propagation. Therefore, during noise monitoring, a dynamic monitoring system should be established to record environmental changes in real time and correct noise data.

[0142] For complex environments, a dynamic acoustic model needs to be established based on on-site data. Using real-time collected noise signals and environmental data, a dynamic acoustic model is constructed to predict noise distribution under different working conditions and locations. The model also needs to be self-adaptive to adjust the model parameters in different locations and working conditions to more accurately reflect the current noise characteristics of the mobile crushing station. In the process of locating the noise source, multiple noise monitoring points are set up to accurately locate the noise contribution of different components, such as crushers, conveyors, and vibrating screens.

[0143] It is also necessary to analyze the noise characteristics under different working conditions. According to the noise characteristics of the mobile crushing station under different working conditions such as crushing, screening, and conveying, the noise intensity, spectral characteristics, and their variation laws of each working condition are analyzed. Compared with the fixed crushing station, the noise characteristic differences of the mobile crushing station under different geographical locations and working conditions are highlighted.

[0144] The present application aims to automatically adjust the parameters of the reverse sound wave, such as frequency, phase, and amplitude, based on real-time noise monitoring results and environmental changes, to achieve the best noise suppression effect. The mobile crushing station is arranged with a reverse sound wave emission array around it to form a noise control strategy for different directions and distances.

[0145] Through the above-mentioned solutions of the present application, not only the characteristics and flexibility of the mobile crushing station in noise control are emphasized, but also a clear contrast with the noise control of the traditional fixed crushing station is formed. This comprehensive analysis and control measure will effectively improve the noise management capability of the mobile crushing station, ensure that it can still comply with relevant noise standards in the changing working environment, and improve the overall operation efficiency.

[0146] Reference Figure 3 and Figure 4 The present application provides a noise control system for a mobile crushing station, which comprises:

[0147] A spectrum analysis module is configured to obtain the vibration noise signal of the crushing station, perform frequency domain conversion on the vibration noise signal, and obtain spectrum analysis information.

[0148] A distribution analysis module is configured to analyze the frequency band where noise energy is concentrated based on the spectrum analysis information, and obtain distribution information and noise intensity information.

[0149] A first reverse sound wave generation module is configured to generate first reverse sound wave information based on the distribution information and the noise intensity information.

[0150] A prediction model construction module is configured to obtain historical information of the crushing station, and construct a sound wave prediction model based on the historical information of the crushing station.

[0151] A second reverse sound wave generation module is configured to obtain working point position information, analyze the distribution information, the noise intensity information, and the working point position information based on the sound wave prediction model, and obtain second reverse sound wave information.

[0152] A sound wave output module is configured to adjust the first reverse sound wave information based on the second reverse sound wave information, and obtain reverse sound wave output information acting on the loudspeaker.

[0153] Specifically, by collecting the vibration noise signal corresponding to one of the working points of the mobile crushing station, performing frequency domain conversion on the vibration noise signal, converting the time domain signal to the frequency domain to obtain frequency spectrum analysis information, performing noise frequency band analysis on the frequency spectrum analysis information, determining the distribution information of the low frequency, medium frequency and high frequency components of the noise and the corresponding noise intensity information, and generating the first reverse sound wave information, a model is constructed according to historical information, and the second reverse sound wave information is predicted according to the working point position information. The reverse sound wave output information is generated by combining the generated information and the predicted information, so as to suppress the noise in the complex working environment of the mobile crushing station, so that the noise generated in the multiple use environments and multiple working conditions of the mobile crushing station can be more accurately and quickly responded to, and the operation stability of the mobile crushing station is improved.

[0154] As one of the embodiments, it further comprises:

[0155] The orientation recognition module is configured to analyze the vibration sensor signals of the vibration noise signal to obtain noise source orientation information when the reverse sound wave output information is generated, and match the loudspeaker used to play the reverse sound wave output information according to the noise source orientation information.

[0156] As one of the embodiments, it further comprises:

[0157] The orientation adjustment module is configured to perform position adjustment processing according to the noise source orientation information and the corresponding loudspeaker position information to obtain angle adjustment information for adjusting the direction of the loudspeaker.

[0158] As one of the embodiments, it further comprises:

[0159] The distance compensation module is configured to perform distance analysis according to the noise source orientation information and the corresponding loudspeaker position information to obtain distance information, and compensate the reverse sound wave output information according to the distance information and the pre-constructed sound wave attenuation model to obtain compensation reverse sound wave information acting on the loudspeaker.

[0160] As one of the embodiments, it further comprises:

[0161] The entity analysis module is configured to obtain the crushing station structure parameters, and construct a crushing station entity model according to the crushing station structure parameters.

[0162] The crushing station operation parameters are obtained, and the vibration numerical simulation is performed according to the crushing station entity model and the crushing station operation parameters to obtain the inherent frequency of the crushing station.

[0163] The inherent frequency of the crushing station and the frequency spectrum analysis information are compared to determine whether there is a frequency similar condition, and the resonance frequency used for optimization reference is selected in the frequency similar condition.

[0164] The structure layout adjustment scheme is matched according to the resonance frequency and the corresponding noise source direction information.

[0165] As one of the embodiments, the method further comprises:

[0166] The noise type confirmation module determines the noise type according to the distribution information and the noise intensity information, and matches the noise vibration threshold according to the noise type.

[0167] In the case of outputting the reverse sound wave output information, the updated noise signal is acquired in real time, the updated noise signal is compared with the noise vibration threshold, and the updated direction information for issuing an alarm is obtained in the case that the updated noise signal is greater than the noise vibration threshold.

[0168] As one of the embodiments, the method further comprises:

[0169] The model data updating module updates the sound wave prediction model according to the updated noise signal.

[0170] As one of the embodiments, the specific steps of the direction recognition module for analyzing the vibration noise signal of the plurality of vibration sensor signals are as follows:

[0171] The plurality of vibration sensor signals are analyzed by using the time delay difference method.

[0172] As one of the embodiments, the historical information of the crushing station acquired by the prediction model construction module includes historical noise distribution information, historical noise intensity information, historical crushing station location and historical environment information.

[0173] The embodiment of the application provides a noise control device of a mobile crushing station, comprising a memory and a processor, the memory stores a computer program, and the processor is configured to run the computer program to execute the noise control method of the mobile crushing station as described above.

[0174] The embodiment of the application provides a computer readable storage medium, and the computer readable storage medium stores a computer program, wherein the computer program is configured to execute the noise control method of the mobile crushing station as described above when running.

[0175] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described device and product can refer to the corresponding process in the foregoing method embodiments, and will not be described here.

[0176] In several embodiments provided in the application, it should be understood that the disclosed method, system, device and program product can be implemented in other ways.

[0177] In addition, each of the functional units in the various embodiments of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0178] The above description and the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the present application; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced by equivalent replacements; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method of noise control for a mobile crushing station, characterised by, The method comprises the following steps: Obtain the vibration noise signal of the crushing station, and perform frequency domain conversion on the vibration noise signal to obtain frequency spectrum analysis information; Analyze the frequency band where noise energy is concentrated according to the frequency spectrum analysis information to obtain distribution information and noise intensity information; Generate first reverse sound wave information according to the distribution information and the noise intensity information; Obtain historical information of the crushing station, and construct a sound wave prediction model according to the historical information of the crushing station; Obtain working point position information, and analyze the distribution information, the noise intensity information and the working point position information according to the sound wave prediction model to obtain second reverse sound wave information; Adjust the first reverse sound wave information according to the second reverse sound wave information to obtain reverse sound wave output information acting on the loudspeaker; Obtain the structure parameters of the crushing station, and construct a crushing station entity model according to the structure parameters of the crushing station; Obtain the running parameters of the crushing station, and perform vibration numerical simulation according to the crushing station entity model and the running parameters of the crushing station to obtain the natural frequency of the crushing station; Compare the natural frequency of the crushing station with the frequency spectrum analysis information to determine whether there is a frequency close to the natural frequency, and select a resonance frequency for optimization reference in the case of a frequency close to the natural frequency; Match the structure layout adjustment scheme according to the resonance frequency and the corresponding noise source direction information.

2. The noise control method of a mobile crushing station according to claim 1, characterized in that, Further comprising: In the case of generating the reverse sound wave output information, analyze a plurality of vibration sensor signals of the vibration noise signal to obtain noise source direction information, and match a loudspeaker for playing the reverse sound wave output information according to the noise source direction information.

3. The noise control method for a mobile crushing station according to claim 2, characterized in that, Further comprising: Adjust the position according to the noise source direction information and the corresponding loudspeaker position information to obtain angle adjustment information for adjusting the direction of the loudspeaker.

4. The noise control method for a mobile crushing station according to claim 3, characterized in that, Further comprising: Analyze the distance according to the noise source direction information and the corresponding loudspeaker position information to obtain distance information, and compensate the reverse sound wave output information according to the distance information and a pre-constructed sound wave attenuation model to obtain compensation reverse sound wave information acting on the loudspeaker.

5. The noise control method for a mobile crushing station according to claim 1, characterized in that, Further comprising: Determine the noise type according to the distribution information and the noise intensity information, and match the noise vibration threshold according to the noise type; In the case of outputting the reverse sound wave output information, obtain updated noise signals in real time, compare the updated noise signals with the noise vibration threshold, and obtain updated direction information for issuing an alarm in the case that the updated noise signals are greater than the noise vibration threshold.

6. The noise control method for a mobile crushing station according to claim 5, characterized in that, Further comprising: Update the sound wave prediction model according to the updated noise signal.

7. The noise control method for a mobile crushing station according to claim 2, characterized in that, The specific steps of analyzing the plurality of vibration sensor signals of the vibration noise signal are as follows: Analyze the plurality of vibration sensor signals by using the time delay difference method.

8. The noise control method for a mobile crushing station according to claim 1, characterized in that, The historical information of the crushing station comprises historical noise distribution information, historical noise intensity information, historical crushing station location and historical environment information.

9. A noise control system for a mobile crushing station, characterised in that, The method comprises the following steps: A spectrum analysis module is configured to obtain the vibration noise signal of the crushing station, and perform frequency domain conversion on the vibration noise signal to obtain frequency spectrum analysis information; A distribution analysis module is configured to analyze the frequency band where noise energy is concentrated according to the frequency spectrum analysis information to obtain distribution information and noise intensity information; A first reverse sound wave generation module is configured to generate first reverse sound wave information according to the distribution information and the noise intensity information; The prediction model construction module is configured to acquire historical information of the crushing station, and construct a sound wave prediction model based on the historical information of the crushing station. The second reverse sound wave generation module is configured to acquire position information of the working point, analyze the distribution information, the noise intensity information, and the position information of the working point based on the sound wave prediction model, and obtain second reverse sound wave information. The sound wave output module is configured to adjust the first reverse sound wave information based on the second reverse sound wave information, and obtain reverse sound wave output information acting on the loudspeaker. The entity analysis module is configured to acquire structure parameters of the crushing station, construct an entity model of the crushing station based on the structure parameters of the crushing station, acquire operation parameters of the crushing station, and perform vibration numerical simulation based on the entity model of the crushing station and the operation parameters of the crushing station, and obtain inherent frequencies of the crushing station. The inherent frequencies of the crushing station and the frequency spectrum analysis information are compared to determine whether there is a similar frequency condition, and a resonance frequency used for optimization reference is selected in the similar frequency condition. The resonance frequency and the corresponding noise source direction information are matched with a structure layout adjustment scheme.

10. A noise control system for a mobile crushing station according to claim 9, characterised in that, Further comprising: The direction identification module is configured to analyze a plurality of vibration sensor signals of the vibration noise signal to obtain noise source direction information when the reverse sound wave output information is generated, and match the loudspeaker used to play the reverse sound wave output information based on the noise source direction information.

11. A noise control system for a mobile crushing station according to claim 10, characterised in that, Further comprising: The direction adjustment module is configured to perform position adjustment processing based on the noise source direction information and corresponding loudspeaker position information to obtain angle adjustment information used to adjust the direction of the loudspeaker.

12. The noise control system for a mobile crushing station of claim 11, wherein, Further comprising: The distance compensation module is configured to perform distance analysis based on the noise source direction information and corresponding loudspeaker position information to obtain distance information, and compensate the reverse sound wave output information based on the distance information and a pre-constructed sound wave attenuation model to obtain compensation reverse sound wave information acting on the loudspeaker.

13. The noise control system for a mobile crushing station of claim 9, wherein, Further comprising: The noise type confirmation module is configured to determine a noise type based on the distribution information and the noise intensity information, and match a noise vibration threshold value based on the noise type. When the reverse sound wave output information is output, an updated noise signal is acquired in real time, the updated noise signal is compared with the noise vibration threshold value, and updated direction information used to issue an alarm is obtained when the updated noise signal is greater than the noise vibration threshold value.

14. A noise control system for a mobile crushing station according to claim 13, characterised in that, Further comprising: The model data update module is configured to update the sound wave prediction model based on the updated noise signal.

15. The noise control system for a mobile crushing station of claim 10, wherein, The specific steps of the direction identification module analyzing a plurality of vibration sensor signals of the vibration noise signal are as follows: The time delay difference method is used to analyze the plurality of vibration sensor signals.

16. The noise control system of a mobile crushing station according to claim 9, characterized in that, The historical information of the crushing station acquired by the prediction model construction module includes historical noise distribution information, historical noise intensity information, historical crushing station locations, and historical environment information.

17. A noise control apparatus for a mobile crushing station, characterised in that, The mobile crushing station noise control method includes a memory and a processor, the memory stores a computer program, and the processor is configured to run the computer program to execute the mobile crushing station noise control method of any one of claims 1-8.

18. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is configured to execute the mobile crushing station noise control method of any one of claims 1-8 when running.

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