Noise analysis method, device and equipment based on running vehicle and storage medium

Abstract

The invention discloses a noise analysis method, device and equipment based on a running vehicle and a storage medium, and the method comprises the steps: obtaining noise data at the current time and the current position collected by a noise monitoring device in response to a noise monitoring request instruction initiated by a driver; vehicle driving position information at the current position is determined; and the noise data and the vehicle driving position information are sent to a noise analysis system, so that the noise analysis system carries out noise analysis according to the received vehicle driving position information and noise data of the at least one vehicle, and a noise analysis result is obtained. According to the technical scheme, the noise data of the current environment can be acquired by using the running vehicle according to the initiated noise monitoring request instruction, and then the acquired noise data and the current position information are combined, so that comprehensive and efficient monitoring and analysis of urban noise pollution conditions can be dynamically realized, and the urban noise pollution monitoring efficiency is improved. And the urban noise acquisition and processing efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a noise analysis method, device, equipment and storage medium based on a moving vehicle. Background Art

[0002] Urban noise is an inevitable problem in modern society. Excessive noise can disrupt people's normal study and work, and even threaten people's health. Therefore, timely measurement of accurate noise in the city can help relevant departments to grasp the noise dynamics in the area in real time and take corresponding measures to solve it. However, the traditional noise measurement method is static and based on fixed point measurement of fixed noise. This may cause the following two problems. One is that the monitoring effect may have a large error due to the small sample range; the other is that fixed noise based on fixed point measurement may not be convenient enough, and it takes a lot of manpower and material resources to collect noise data in a large area.

[0003] In recent years, with the rapid development of science and technology, automobile manufacturing has become more and more intelligent, and smart cars have global positioning technology and mature data maps of cities. Therefore, how to use moving vehicles to dynamically detect and analyze urban noise, thereby reducing human resource occupation and improving noise collection and processing efficiency, has become an urgent research topic. Summary of the invention

[0004] The present invention provides a noise analysis method, device, equipment and storage medium based on a moving vehicle, so as to realize dynamic collection and analysis of urban noise and improve the efficiency of urban noise collection and analysis.

[0005] According to one aspect of the present invention, a noise analysis method based on a moving vehicle is provided, which is applied to a vehicle and includes:

[0006] In response to a noise monitoring request command initiated by a driver, obtaining noise data at a current time and a current location collected by a noise monitoring device;

[0007] Determine the vehicle driving position information at the current position;

[0008] The noise data and the vehicle driving position information are sent to a noise analysis system, so that the noise analysis system performs noise analysis according to the received vehicle driving position information and noise data of at least one vehicle to obtain a noise analysis result.

[0009] According to another aspect of the present invention, a noise analysis method based on a moving vehicle is provided, which is applied to a noise analysis system and includes:

[0010] Acquiring vehicle driving position information and noise data sent by at least one vehicle;

[0011] Determine the noise intensity distribution result of at least one area to be monitored according to the vehicle driving position information and noise data of each of the vehicles; and

[0012] determining the type and source of noise based on the vehicle driving position information and noise data of each of the vehicles;

[0013] A noise analysis result including the noise intensity distribution result, the noise type and the noise source is generated.

[0014] According to another aspect of the present invention, there is provided a noise analysis device based on a moving vehicle, which is configured on the vehicle and includes:

[0015] A noise data acquisition module, used to respond to a noise monitoring request instruction initiated by a driver and acquire noise data at a current time and a current position collected by a noise monitoring device;

[0016] A position information determination module, used to determine the vehicle driving position information at the current position;

[0017] The noise analysis module is used to send the noise data and the vehicle driving position information to the noise analysis system, so that the noise analysis system performs noise analysis according to the received vehicle driving position information and noise data of at least one vehicle to obtain a noise analysis result.

[0018] According to another aspect of the present invention, there is provided a noise analysis device based on a moving vehicle, which is configured in a noise analysis system and includes:

[0019] Acquiring vehicle driving position information and noise data sent by at least one vehicle;

[0020] Determine the noise intensity distribution result in at least one monitored area according to the vehicle driving position information and noise data of each of the vehicles; and determine the noise type and noise source according to the vehicle driving position information and noise data of each of the vehicles;

[0021] A noise analysis result including the noise intensity distribution result, the noise type and the noise source is generated.

[0022] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0023] at least one processor; and

[0024] a memory communicatively connected to the at least one processor; wherein,

[0025] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the noise analysis method based on a moving vehicle described in any embodiment of the present invention.

[0026] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the noise analysis method based on a moving vehicle according to any embodiment of the present invention when executed.

[0027] The technical solution of the embodiment of the present invention obtains the noise data collected by the noise monitoring device at the current time and current position by responding to the noise monitoring request instruction initiated by the driver; determines the vehicle driving position information at the current position; sends the noise data and the vehicle driving position information to the noise analysis system, so that the noise analysis system can perform noise analysis based on the vehicle driving position information and noise data received from at least one vehicle to obtain the noise analysis result. In this technical solution, by setting a noise monitoring device in the vehicle, the noise data of different areas in the city can be collected respectively according to the driving conditions of the vehicle. Furthermore, by combining the noise monitoring device, global positioning system and wireless communication technology, etc., it is possible to realize comprehensive and efficient monitoring and analysis of urban noise pollution, and improve the efficiency of urban noise collection and processing.

[0028] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0030] Figure 1 is a flow chart of a noise analysis method based on a moving vehicle provided according to Embodiment 1 of the present invention;

[0031] Figure 2 is a flow chart of a noise analysis method based on a moving vehicle provided according to Embodiment 2 of the present invention;

[0032] Figure 3 is a structural schematic diagram of a noise analysis device based on a moving vehicle provided according to Embodiment 3 of the present invention;

[0033] Figure 4 Schematic diagram of a noise analysis device based on a moving vehicle according to a fourth embodiment of the present invention.

[0034] Figure 5 It is a schematic diagram of the structure of an electronic device for implementing the noise analysis method based on a moving vehicle according to an embodiment of the present invention. DETAILED DESCRIPTION

[0035] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0036] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0037] Embodiment 1

[0038] Figure 1 A flow chart of a noise analysis method based on a moving vehicle is provided for the first embodiment of the present invention. This embodiment is applicable to the situation of dynamic noise monitoring between different areas in a large range of cities. The method can be executed by a noise analysis device based on a moving vehicle. The noise analysis device based on a moving vehicle can be implemented in the form of hardware and / or software. The noise analysis device based on a moving vehicle can be configured in an electronic device. Figure 1 As shown, the method is applied to a vehicle, comprising:

[0039] S110 . In response to a noise monitoring request instruction initiated by a driver, obtain noise data at a current time and a current location collected by a noise monitoring device.

[0040] The noise monitoring request instruction may be a noise monitoring request instruction initiated by the driver to collect noise data, or may be a noise monitoring request initiated by the vehicle itself and executed with the driver's consent.

[0041] The noise monitoring device may be a device for collecting current noise data according to a noise monitoring request instruction initiated by a driver, and may specifically include a high-precision noise sensor array and an automatic calibration system.

[0042] The current time may refer to the time when the noise monitoring device collects noise data, and may specifically include year, month, day information, hour information, and minute and second information.

[0043] For example, the vehicle may send confirmation information to the driver on whether to execute the noise monitoring request at a fixed time period, for example, once a week or every day, wherein the fixed time period may be pre-set in the vehicle by relevant technicians based on experience; the vehicle may also send confirmation information to the driver on whether to execute the noise monitoring request when passing through different functional areas (such as residential areas, commercial areas, industrial areas, etc.), and noise-sensitive points (such as schools, hospitals, etc.), wherein the functional areas and noise-sensitive points may also be pre-set in the vehicle by relevant technicians based on actual needs. Then, the noise monitoring request instruction is executed according to the driver's response to the confirmation information.

[0044] Specifically, according to the noise monitoring request instruction initiated by the driver, the noise sensor array in the noise monitoring device is called to capture noise signals in different directions, wherein the noise sensor array can be arranged at the tailgate outside the vehicle to simulate the noise level that pedestrians or residents can hear when the vehicle passes by. At the same time, the positioning system of the vehicle can also be called to record the current position in real time to obtain the position information corresponding to the collected noise data, and record the time when the noise monitoring request instruction is initiated.

[0045] S120: Determine the vehicle driving position information at the current position.

[0046] Specifically, the vehicle driving position information at the current position of the driving vehicle can be collected through the positioning module integrated in the vehicle. The vehicle driving position information can be, for example, the latitude and longitude coordinates of the vehicle's location.

[0047] S130: Send the noise data and the vehicle driving position information to a noise analysis system, so that the noise analysis system performs noise analysis according to the received vehicle driving position information and noise data of at least one vehicle to obtain a noise analysis result.

[0048] Among them, the noise analysis system can be a platform for receiving and storing noise data and vehicle driving position information sent by the vehicle, and performing noise data analysis and mining and display.

[0049] Specifically, the noise data and vehicle driving position information sent by the vehicle can be collected, and the collected data can be cleaned to remove meaningless data, so as to achieve data noise reduction processing of the vehicle driving position information and noise data, and store the processed data in the vehicle's own database. The received vehicle driving position information and noise data can also be mined and analyzed through algorithms such as noise source identification, noise propagation model, and noise pollution assessment to obtain corresponding noise data analysis results.

[0050] Optionally, before sending the noise data and the vehicle driving position coordinates to the noise analysis system, it also includes: obtaining vehicle identification information of the own vehicle; if the current time meets the preset noise data sending conditions, sending the noise data and the vehicle driving position coordinates to the noise analysis system, including: associating the vehicle identification information with the vehicle driving position coordinates and the noise data, and sending the associated data to the noise analysis system.

[0051] The vehicle identification information may be the only data that can determine the vehicle identity information, such as the vehicle frame number. The identification information may be specifically set by a technician based on experience.

[0052] The noise data transmission condition may be initiated by the driver, or may be a preset noise information transmission time. For example, the noise information between the vehicle and the noise analysis system may be synchronized on the 15th of each month; or the noise information may be synchronized according to a preset time period, such as every seven days. The noise data transmission condition may be preset by a technician according to actual needs, and this embodiment does not impose any specific restrictions on this.

[0053] Further, the noise information between the vehicle and the noise analysis system may be synchronized on the 15th of each month, and then it may be determined whether the current time satisfies the preset noise data sending condition according to the current time when the noise monitoring device collects the noise data. For example, if the time when the noise monitoring device collects the noise data is 14:23:50 on November 15, XX, it means that the current time satisfies the preset noise data sending condition, and the vehicle identification information may be associated with the vehicle driving position coordinates and the noise data, and sent to the noise analysis system; if the time when the noise monitoring device collects the noise data is 17:03:27 on October 13, XX, it means that the current time does not meet the preset noise data sending condition, and this embodiment does not impose any specific restrictions on this.

[0054] As another optional scheme of this implementation, any scheme in this embodiment can be combined. It should be noted that in order to further ensure the accuracy of noise data collection of the noise monitoring device, the noise monitoring device can be regularly tested for signals to ensure the accuracy, effectiveness and real-time performance of noise collection. Optionally, the noise output signal sent by the noise monitoring device is obtained, and the calibration signal sent by the calibration signal generator is obtained; wherein the noise output signal is the output signal generated by the noise monitoring device after receiving the calibration signal sent by the calibration signal generator and processing the calibration signal; the noise output signal is compared with the calibration signal to obtain a signal comparison result; according to the signal comparison result, the sensor parameters of the noise monitoring device are adjusted.

[0055] The calibration signal generator may be a device with a built-in automatic calibration mechanism, and is used to send calibration signals periodically or according to environmental changes to achieve automatic adjustment of noise sensor parameters.

[0056] Specifically, the calibration signal generator starts the calibration process according to a preset calibration plan or after receiving a calibration instruction, generates a calibration signal, and transmits it to the noise monitoring device. The noise monitoring device can generate an output signal through a noise sensor according to the calibration signal generated by the calibration signal generator. The calibration signal and the output signal of the noise sensor are simultaneously received by the data acquisition and processing unit, and analyzed and compared. By comparing the difference between the two, it is determined whether the parameters of the noise sensor deviate from the preset standard. If the parameters of the sensor deviate from the preset standard, the parameters of the noise sensor are iteratively adjusted to eliminate the error until the parameters of the noise sensor are restored to the preset standard range. Exemplarily, after the noise monitoring device receives the calibration signal, the signal-to-noise ratio of the output signal generated by the noise sensor can be 15dB, and the signal-to-noise ratio of the calibration signal is 25±5dB, then a signal comparison result of abnormal noise sensor parameters can be obtained, then it is necessary to iteratively adjust the noise sensor parameters according to the signal comparison result of the abnormal noise sensor parameters, and ensure that the signal-to-noise ratio of the output signal generated by the noise sensor after the noise monitoring device receives the calibration signal is 25±5dB.

[0057] The technical solution of the embodiment of the present invention obtains the noise data at the current time and current position collected by the noise monitoring device by responding to the noise monitoring request instruction initiated by the driver; determines the vehicle driving position information at the current position; sends the noise data and the vehicle driving position information to the noise analysis system, so that the noise analysis system can perform noise analysis based on the vehicle driving position information and noise data received from at least one vehicle to obtain the noise analysis result. In this technical solution, by setting a noise monitoring device in the vehicle, the noise data of different areas in the city can be collected respectively according to the driving conditions of the vehicle. By combining the noise monitoring device, the global positioning system and the wireless communication technology, etc., the comprehensive and efficient monitoring and analysis of the urban noise pollution can be realized, and the efficiency of urban noise collection and processing can be improved.

[0058] Embodiment 2

[0059] Figure 2 A flow chart of a noise analysis method based on a moving vehicle is provided for the second embodiment of the present invention. This embodiment is applicable to the situation of dynamic noise monitoring between different areas in a large range of cities. The method can be executed by a noise analysis device based on a moving vehicle. The noise analysis device based on a moving vehicle can be implemented in the form of hardware and / or software. The noise analysis device based on a moving vehicle can be configured in an electronic device. Figure 2 As shown, the method is applied to a noise analysis system, comprising:

[0060] S210: Acquire vehicle driving position information and noise data sent by at least one vehicle.

[0061] Specifically, according to the driver's noise monitoring request instruction, the noise monitoring device and positioning system in the vehicle are called to obtain noise data and vehicle driving position information respectively, and the obtained noise data and vehicle driving position information are sent to the noise analysis system.

[0062] S220. Determine a noise intensity distribution result in at least one area to be monitored based on the vehicle driving position information and noise data of each vehicle; and determine a noise type and a noise source based on the vehicle driving position information and noise data of each vehicle.

[0063] Among them, the noise intensity distribution result can be the change of the acquired noise data at different vehicle driving position information. Specifically, it can be obtained by calculating the average noise intensity, peak noise intensity and other indicators of the noise data collected under each vehicle driving position information through a noise intensity analysis algorithm. The specific calculation method can be to perform time domain analysis or frequency domain analysis on the noise data under different vehicle driving position information, so as to determine the noise intensity under different vehicle driving positions.

[0064] For example, the noise data can be analyzed in the time domain, such as by calculating the root mean square value of the noise data at each driving position, determining the average power of the corresponding noise data, and then generating a distribution result of the noise intensity based on the average power of the noise data; the noise data can also be analyzed in the frequency domain, such as by using a fast Fourier transform to calculate the power spectral density of the noise data at each driving position, and evaluating the noise intensity of different frequency components in the noise data based on the calculated power spectral density to generate a noise intensity distribution result. This embodiment does not impose any specific restrictions on this.

[0065] Among them, noise types may include environmental noise, mechanical noise and biological noise; noise sources may refer to the sources of noise, such as meteorological factors, animal factors and mechanical factors. Specifically, noise spectrum analysis methods, such as fast Fourier transform algorithm, may be used to perform spectrum analysis on noise data to determine the noise type and noise source of the noise data.

[0066] Exemplarily, the fast Fourier transform algorithm can be used to determine the noise type and noise source of the noise data. Specifically, the frequency domain components of the noise data can be obtained using the fast Fourier transform algorithm, and then the amplitude of each frequency domain component can be calculated according to the fast Fourier transform result. The frequency domain components of the noise data and the corresponding amplitudes are stored in association, and a spectrum diagram is generated. By observing the spectrum diagram, the peaks in the noise data can be identified, and the frequency domain components of the identified noise data can be compared with the known noise features. For example, the low-frequency and medium-frequency components in traffic noise may be strong, the peaks of specific frequencies in industrial noise may correspond to the frequency of machine operation, and the natural noise in environmental noise usually has a flat spectrum in a specific frequency band, etc., so as to determine the noise type and noise source of the noise data. This embodiment is not specifically limited by comparison.

[0067] S230: Generate noise analysis results including noise intensity distribution results, noise types, and noise sources.

[0068] Specifically, the noise intensity distribution result, the noise type and the noise source can be associated, and the associated content can be used as the noise analysis result. For example, when the driving position information of the vehicle corresponds to an industrial area, the average noise intensity and peak noise intensity of the area can be calculated respectively, and it can be determined that the noise type of the area is mechanical noise, and the noise source is the noise generated by the operation of mechanical equipment in the industrial area.

[0069] As another optional solution of this implementation, any solution in this embodiment can be combined. Optionally, historical driving position information and historical noise data of at least one vehicle in a preset historical time period are obtained; the historical driving position information and historical noise data of each vehicle are input into a noise trend prediction model to obtain the noise change trend in the future time period output by the model; and a noise analysis result including the noise change trend is generated.

[0070] Specifically, a noise trend prediction model can be pre-built, such as a linear regression model, a long short-term memory network model, etc. Noise data and vehicle driving information in different time periods can be obtained and used as the input of the model. For example, noise data collected in a school area within a month can be obtained. The noise data and vehicle driving information of the school area obtained within a month can be input into the pre-built noise trend prediction model, and the noise change trend in the school area in the future time period output by the model can be obtained, and the generated noise change trend can be recorded in the noise analysis result.

[0071] Optionally, after generating the noise analysis results including the noise intensity distribution results, the noise type and the noise source, the method further includes: generating a noise map according to the noise intensity distribution results, the noise type, the noise source and the noise change area; and sending the noise map to each vehicle.

[0072] Specifically, the current noise data generated can be integrated in three dimensions, namely time, location, and noise, to obtain the time and area where the noise exceeds the range and the time and area where the noise situation is good. A noise map can be formed for the data at the same time and location and sent to different vehicles.

[0073] The technical solution of the embodiment of the present invention obtains the vehicle driving position information and noise data sent by at least one vehicle; determines the noise intensity distribution result of at least one area to be monitored according to the vehicle driving position information and noise data of each vehicle; and determines the noise type and noise source according to the vehicle driving position information and noise data of each vehicle; and generates noise analysis results including noise intensity distribution results, noise type and noise source. This embodiment can determine the noise intensity distribution results of each area to be monitored in the city according to the noise data of each vehicle at different driving positions obtained, thereby realizing comprehensive and efficient monitoring and analysis of noise pollution in various areas of the city, and improving the efficiency of urban noise collection and processing; further, it also generates noise analysis results including noise type and noise source, which can give decision-making suggestions for noise pollution control based on data, and help to effectively control urban noise pollution.

[0074] Embodiment 3

[0075] Figure 3 The present invention provides a noise analysis device based on a moving vehicle according to a third embodiment of the present invention. The noise analysis device based on a moving vehicle provided in the embodiment of the present invention can be applied to the situation of dynamic noise monitoring between different areas in a large range of cities. The noise analysis device based on a moving vehicle can be implemented in the form of hardware and / or software, such as Figure 3 As shown, it specifically includes: a noise data acquisition module 310, a position information determination module 320 and a noise analysis module 330, which are configured in the vehicle, wherein:

[0076] The noise data acquisition module 310 is used to respond to the noise monitoring request instruction initiated by the driver and obtain the noise data at the current time and current position collected by the noise monitoring device;

[0077] A position information determination module 320, used to determine the vehicle driving position information at the current position;

[0078] The noise analysis module 330 is used to send the noise data and the vehicle driving position information to a noise analysis system, so that the noise analysis system performs noise analysis according to the received vehicle driving position information and noise data of at least one vehicle to obtain a noise analysis result.

[0079] In this technical solution, by installing a noise monitoring device in a vehicle, noise data of different areas in the city can be collected according to the driving conditions of the vehicle. Furthermore, noise monitoring, global positioning and wireless communication technologies are combined to achieve comprehensive and efficient monitoring and analysis of urban noise pollution, and improve the efficiency of urban noise collection and processing.

[0080] The device also includes a noise data sending module 340;

[0081] Optionally, the noise data sending module 340 is used to obtain vehicle identification information of the own vehicle before sending the noise data and the vehicle driving position coordinates to the noise analysis system; if the current time meets the preset noise data sending conditions, sending the noise data and the vehicle driving position coordinates to the noise analysis system includes: associating the vehicle identification information with the vehicle driving position coordinates and the noise data, and sending the associated data to the noise analysis system.

[0082] Optionally, the device further includes a sensor parameter adjustment module 350;

[0083] Optionally, the sensor parameter adjustment module 350 is used to obtain the noise output signal sent by the noise monitoring device and the calibration signal sent by the calibration signal generator; wherein the noise output signal is an output signal generated by the noise monitoring device after receiving the calibration signal sent by the calibration signal generator and processing the calibration signal; compare the noise output signal with the calibration signal to obtain a signal comparison result; and adjust the sensor parameters of the noise monitoring device according to the signal comparison result.

[0084] The noise analysis device based on a moving vehicle provided in the embodiment of the present invention is configured with a vehicle and can execute the noise analysis method based on a moving vehicle provided in any embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method.

[0085] Embodiment 4

[0086] Figure 4 The present invention provides a noise analysis device based on a moving vehicle according to a fourth embodiment of the present invention. The noise analysis device based on a moving vehicle provided in the embodiment of the present invention can be applied to the dynamic monitoring of noise in different areas over a large area in a city. The noise analysis device based on a moving vehicle can be implemented in the form of hardware and / or software, such as Figure 4 As shown, it specifically includes: an information acquisition module 410, a noise data analysis module 420 and a noise analysis result generation module 430, which are configured in the noise analysis system, wherein:

[0087] The information acquisition module 410 is used to acquire vehicle driving position information and noise data sent by at least one vehicle.

[0088] The noise data analysis module 420 is used to determine the noise intensity distribution result in at least one monitored area based on the vehicle driving position information and noise data of each of the vehicles; and to determine the noise type and noise source based on the vehicle driving position information and noise data of each of the vehicles.

[0089] The noise analysis result generating module 430 is used to generate a noise analysis result including the noise intensity distribution result, the noise type and the noise source.

[0090] This embodiment scheme can determine the noise intensity distribution results of each monitored area in the city based on the noise data of each vehicle at different driving positions, thereby realizing comprehensive and efficient monitoring and analysis of noise pollution in various areas of the city, and improving the efficiency of urban noise collection and processing; further, it also generates noise analysis results including noise types and noise sources, and can provide data-based decision-making suggestions for noise pollution control, which helps to effectively control urban noise pollution.

[0091] Optionally, the device further includes a noise change trend prediction module 440;

[0092] Optionally, the noise change trend prediction module 440 is used to obtain historical driving position information and historical noise data of at least one vehicle in a preset historical time period; input the historical driving position information and historical noise data of each of the vehicles into a noise trend prediction model to obtain the noise change trend in a future time period output by the model; and generate a noise analysis result including the noise change trend.

[0093] Optionally, the noise analysis result generating module 430 is further used to generate a noise map according to the noise intensity distribution result, the noise type, the noise source and the noise change area after generating the noise analysis result including the noise intensity distribution result, the noise type and the noise source; and send the noise map to each of the vehicles.

[0094] The noise analysis device based on a moving vehicle provided in the embodiment of the present invention is configured in a noise analysis system and can execute the noise analysis method based on a moving vehicle provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0095] Embodiment 5

[0096] Figure 5 A schematic diagram of an electronic device 50 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0097] like Figure 5As shown, the electronic device 50 includes at least one processor 51, and a memory connected to the at least one processor 51 in communication, such as a read-only memory (ROM) 52, a random access memory (RAM) 53, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 51 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 52 or the computer program loaded from the storage unit 58 to the random access memory (RAM) 53. In the RAM 53, various programs and data required for the operation of the electronic device 50 can also be stored. The processor 51, the ROM 52, and the RAM 53 are connected to each other via a bus 54. An input / output (I / O) interface 55 is also connected to the bus 54.

[0098] A number of components in the electronic device 50 are connected to the I / O interface 55, including: an input unit 56, such as a keyboard, a mouse, etc.; an output unit 57, such as various types of displays, speakers, etc.; a storage unit 58, such as a disk, an optical disk, etc.; and a communication unit 59, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 59 allows the electronic device 50 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0099] The processor 51 may be a variety of general and / or dedicated processing components with processing and computing capabilities. Some examples of the processor 51 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 51 executes the various methods and processes described above, such as a noise analysis method based on a moving vehicle.

[0100] In some embodiments, the noise analysis method based on a moving vehicle may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 58. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 50 via the ROM 52 and / or the communication unit 59. When the computer program is loaded into the RAM 53 and executed by the processor 51, one or more steps of the noise analysis method based on a moving vehicle described above may be performed. Alternatively, in other embodiments, the processor 51 may be configured to perform the noise analysis method based on a moving vehicle in any other appropriate manner (e.g., by means of firmware).

[0101] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0102] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0103] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0104] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0105] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0106] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0107] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0108] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A noise analysis method based on a moving vehicle, characterized in that: Applied to vehicles, including: In response to a noise monitoring request command initiated by a driver, obtaining noise data at a current time and a current location collected by a noise monitoring device; Determine the vehicle driving position information at the current position; The noise data and the vehicle driving position information are sent to a noise analysis system, so that the noise analysis system performs noise analysis according to the received vehicle driving position information and noise data of at least one vehicle to obtain a noise analysis result.

2. The method according to claim 1, characterized in that: Before sending the noise data and the vehicle driving position coordinates to the noise analysis system, the method further includes: Obtain vehicle identification information of the own vehicle; If the current time satisfies a preset noise data sending condition, the noise data and the vehicle driving position coordinates are sent to a noise analysis system, including: The vehicle identification information is data-associated with the vehicle driving position coordinates and noise data, and the associated data is sent to a noise analysis system.

3. The method according to claim 1, characterized in that The method further comprises: Acquire a noise output signal sent by the noise monitoring device, and acquire a calibration signal sent by a calibration signal generator; wherein the noise output signal is an output signal generated by the noise monitoring device after receiving the calibration signal sent by the calibration signal generator and processing the calibration signal; Performing a signal comparison between the noise output signal and the calibration signal to obtain a signal comparison result; According to the signal comparison result, the sensor parameters of the noise monitoring device are adjusted.

4. A noise analysis method based on a moving vehicle, characterized in that: Applied to noise analysis systems, including: Acquiring vehicle driving position information and noise data sent by at least one vehicle; Determine the noise intensity distribution result of at least one area to be monitored according to the vehicle driving position information and noise data of each of the vehicles; and determining the type and source of noise based on the vehicle driving position information and noise data of each of the vehicles; A noise analysis result including the noise intensity distribution result, the noise type and the noise source is generated.

5. The method according to claim 4, characterized in that: The method further comprises: Acquire historical driving position information and historical noise data of at least one vehicle in a preset historical time period; Inputting the historical driving position information and historical noise data of each of the vehicles into a noise trend prediction model to obtain the noise change trend in a future time period output by the model; A noise analysis result including the noise variation trend is generated.

6. The method according to claim 5, characterized in that: After generating the noise analysis result including the noise intensity distribution result, the noise type and the noise source, the method further includes: Generate a noise map according to the noise intensity distribution result, the noise type, the noise source and the noise change area; The noise map is sent to each of the vehicles.

7. A noise analysis device based on a moving vehicle, characterized in that: Configured in the vehicle, including: A noise data acquisition module, used to respond to a noise monitoring request instruction initiated by a driver and acquire noise data at a current time and a current position collected by a noise monitoring device; A position information determination module, used to determine the vehicle driving position information at the current position; The noise analysis module is used to send the noise data and the vehicle driving position information to the noise analysis system, so that the noise analysis system performs noise analysis according to the received vehicle driving position information and noise data of at least one vehicle to obtain a noise analysis result.

8. A noise analysis device based on a moving vehicle, characterized in that: Configured in noise analysis system, including: An information acquisition module, used to acquire vehicle driving position information and noise data sent by at least one vehicle; A noise data analysis module, configured to determine a noise intensity distribution result in at least one monitored area according to the vehicle driving position information and noise data of each of the vehicles; and to determine a noise type and a noise source according to the vehicle driving position information and noise data of each of the vehicles; The noise analysis result generating module is used to generate a noise analysis result including the noise intensity distribution result, the noise type and the noise source.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the noise analysis method based on a moving vehicle according to any one of claims 1-3 or 4-6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the noise analysis method based on a moving vehicle according to any one of claims 1-3 or 4-6 when executed.

Images