Construction site noise detection and noise reduction system based on unmanned aerial vehicle

Abstract

The invention discloses a construction site noise detection and noise reduction system based on an unmanned aerial vehicle, and the system comprises a control center which is used for carrying out the analysis and processing of noise data; the unmanned aerial vehicle part comprises at least one unmanned aerial vehicle, is in communication connection with the control center and is used for collecting noise data and transmitting the noise data to the control center; and the active noise reduction equipment is distributed around the construction site, is in communication connection with the control center and is used for reducing noise by utilizing anti-noise. According to the construction site noise detection and noise reduction system based on the unmanned aerial vehicle, the problems of limited detection range and low detection efficiency in the prior art are solved, the construction site noise management efficiency is effectively improved by optimizing the noise detection process of the unmanned aerial vehicle and introducing the active noise reduction equipment, noise pollution can be reduced, and the noise reduction efficiency is improved. The surrounding environment is improved, and an effective solution is provided for building a more harmonious construction environment.

Description

Technical Field

[0001] The present invention relates to the field of construction noise control, and particularly to a construction site noise detection and noise reduction system based on an unmanned aerial vehicle (UAV). Background Art

[0002] As an invisible environmental pollution, noise pollution has had a serious impact on people's daily life and work. With the acceleration of urbanization and the increase in industrial activities, the problem of noise pollution has become increasingly prominent. Long-term exposure to a noisy environment can not only damage people's hearing, but also cause health problems such as cardiovascular diseases and sleep disorders. In addition, noise pollution can also affect people's emotions, work efficiency and quality of life.

[0003] To solve the problem of noise pollution, noise detection technology has been continuously developed and improved. Traditional noise detection usually relies on a single device such as a sound level meter, which can only measure the sound intensity at a specific location and cannot provide the source or propagation path of the sound. Modern noise detection technology is more intelligent and diverse, such as sound source localization technology, acoustic imaging technology, and artificial intelligence-based noise recognition technology, etc.

[0004] With the increasingly serious problem of noise pollution, it has become particularly important to formulate effective noise management strategies. Noise management strategies need to consider not only how to reduce the generation and propagation of noise, but also how to protect people's hearing and health. Therefore, the application of noise detection technology has become the key to formulating noise management strategies. With the continuous development of technologies such as the Internet of Things and big data analysis, intelligent noise monitoring systems have gradually been widely used. Such systems can achieve remote real-time monitoring and early warning, making noise management more accurate and efficient. Summary of the Invention

[0005] The main object of the present invention is to propose a construction site noise detection and noise reduction system based on an unmanned aerial vehicle, which overcomes the above technical problems.

[0006] To achieve the above object, the present invention proposes the following technical solutions:

[0007] A construction site noise detection and noise reduction system based on an unmanned aerial vehicle, comprising:

[0008] A control center for analyzing and processing noise data;

[0009] The UAV part, which includes at least one UAV, is communicatively connected to the control center, is used for collecting noise data, and transmitting the noise data to the control center;

[0010] Active noise reduction devices, a plurality of noise reduction devices are distributed around the construction site, are communicatively connected to the control center, and use anti-noise for noise reduction.

[0011] Furthermore, the drone is equipped with:

[0012] a noise detection module for collecting noise data;

[0013] a data transmission module for transmitting data to the control center.

[0014] Furthermore, the drone is also equipped with an audio sensor and a noise cancellation module. The audio sensor is used to monitor in real time the noise generated by the drone itself, and the noise cancellation module eliminates its own noise according to the noise information monitored by the audio sensor.

[0015] Furthermore, the drone uses a low-noise electric motor to reduce the airflow noise generated during flight.

[0016] Furthermore, the drone adopts an intelligent control system to intelligently adjust the flight speed and altitude of the drone, and select the optimal flight path to reduce flight noise.

[0017] Furthermore, the specific working process is as follows:

[0018] S1, Collect noise data through the drone;

[0019] S2, Transmit the collected data to the control center through the data transmission module;

[0020] S3, The control center processes and analyzes the data transmitted by the drone;

[0021] S4, Generate a noise detection report according to the analysis result;

[0022] S5, The control center controls the active noise reduction device 3 to perform noise reduction processing;

[0023] S6, Evaluate the effect in real time.

[0024] Furthermore, the process of the control center processing and analyzing the data transmitted by the drone includes:

[0025] S3-1, Data reception, the control center receives and unpacks the data packets transmitted by the drone;

[0026] S3-2, Noise feature extraction, perform spectral analysis, feature calculation, noise classification and recognition on the noise data.

[0027] Furthermore, the process of the control center controlling the active noise reduction device to perform noise reduction processing includes:

[0028] S5-1, Noise threshold judgment;

[0029] S5-2, Start the active noise reduction device;

[0030] S5-3, Noise signal processing;

[0031] S5-4, Dynamically adjust the frequency and amplitude of anti-noise.

[0032] Furthermore, the spectral analysis of the noise data is carried out using the fast Fourier transform algorithm to convert the time-domain signal into a frequency-domain signal.

[0033] Furthermore, the noise cancellation module generates a reverse sound wave according to the noise information detected by the audio sensor and uses the phase inversion technology to cancel part of its own noise.

[0034] Through a construction site noise detection and noise reduction system based on an unmanned aerial vehicle (UAV) of the present invention, the problems of limited detection range and low detection efficiency in the prior art are solved. By optimizing the noise detection process of the UAV and introducing active noise reduction equipment, the efficiency of construction site noise management is effectively improved. It can reduce noise pollution and improve the surrounding environment at the same time, providing an effective solution for building a more harmonious construction environment. Brief Description of the Drawings

[0035] The accompanying drawings forming a part of this application are used to provide a further understanding of the present invention. The schematic embodiments and descriptions thereof of the present invention are used to explain the present invention and do not constitute an improper limitation to the present invention.

[0036] In the drawings:

[0037] Figure 1 Shows the topological structure diagram of a construction site noise detection and noise reduction system based on an unmanned aerial vehicle (UAV) of the present invention.

[0038] Figure 2 Shows the flow chart of the noise reduction process.

[0039] Among them, the above-mentioned accompanying drawings include the following reference numerals:

[0040] 1, Control center; 2, UAV part; 3, Active noise reduction equipment. Detailed Description of the Embodiments

[0041] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and in no way restrictive of the present invention and its application or use. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of the present invention.

[0042] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular forms are also intended to include the plural forms. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they specify the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0043] Unless otherwise specifically stated, the relative arrangements of the components and steps, numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present invention. At the same time, it should be understood that, for the sake of convenience of description, the dimensions of the various parts shown in the drawings are not drawn in actual proportional relationships. Technologies, methods, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the said technologies, methods, and devices should be regarded as part of the authorized specification. In all the examples shown and discussed herein, any specific value should be construed as merely exemplary and not as a limitation. Therefore, other examples of the exemplary embodiments may have different values. It should be noted that like reference numerals and letters denote like items in the following drawings, and thus, once an item is defined in one drawing, it does not need to be further discussed in subsequent drawings.

[0044] Reference is made below to Figures 1 to 2 , for a further description of the present invention:

[0045] An unmanned aerial vehicle (UAV)-based construction site noise detection and noise reduction system, comprising:

[0046] A control center 1, configured to analyze and process noise data;

[0047] A UAV part 2, the UAV part 2 includes at least one UAV, which is communicatively connected to the control center and is used to collect noise data and transmit the noise data to the control center 1;

[0048] Active noise reduction devices 3, a plurality of noise reduction devices 3 are distributed around the construction site and are communicatively connected to the control center 1 to perform noise reduction using anti-noise.

[0049] The active noise reduction device 3 is a key component in this system, and its main working principle is as follows:

[0050] 1. Signal analysis: After the control center receives the noise data, it analyzes the noise characteristics (such as frequency, amplitude, etc.) through an algorithm to judge the type and source of the noise.

[0051] 2. Noise cancellation: Once the noise exceeds the set threshold, the active noise cancellation device will be activated immediately. According to the monitored noise signal, the device generates a sound wave with the opposite phase (anti-noise) and emits it through the speaker, thus achieving effective noise cancellation.

[0052] 3. Feedback mechanism: The active noise cancellation system is also equipped with a feedback mechanism that can dynamically adjust the frequency and amplitude of the anti-noise according to environmental changes and noise cancellation effects to ensure the persistence and stability of the noise cancellation effect.

[0053] In a preferred embodiment, the drone is provided with:

[0054] A noise detection module for collecting noise data;

[0055] A data transmission module for data transmission with the control center 1.

[0056] In this embodiment, the drone is also provided with an audio sensor and a noise cancellation module. The audio sensor is used to monitor the noise generated by the drone itself in real time, and the noise cancellation module eliminates its own noise according to the noise information monitored by the audio sensor.

[0057] It mainly reduces its own noise through the following aspects:

[0058] 1. Noise source design: Adopt a low-noise electric motor and an optimized propeller design to reduce the airflow noise generated during flight.

[0059] 2. Flight mode optimization: Through an intelligent control system, adjust the flight speed and altitude of the drone, and select the optimal flight path to reduce flight noise.

[0060] 3. Active noise control: Install an audio sensor and a noise cancellation module on the drone. By monitoring the noise generated by the drone in real time and using phase inversion technology to generate a reverse sound wave, part of its own noise can be cancelled.

[0061] Preferably, the overall working process of the construction site noise detection and noise reduction system based on the drone is as follows:

[0062] S1, Collect noise data through the drone;

[0063] S2, Transmit the collected data to the control center 1 through the data transmission module;

[0064] S3, The control center 1 processes and analyzes the data transmitted by the drone;

[0065] S4, Generate a noise detection report according to the analysis results;

[0066] S5, The control center 1 controls the active noise cancellation device 3 to perform noise reduction processing;

[0067] S6, evaluate the effect in real time.

[0068] In the overall work process, from the collection of noise data to the analysis and noise reduction of data, each link has specific algorithms and technical support. The following are the working principles involved in each step, as well as some preferred setting parameters:

[0069] 1. Noise data collection

[0070] UAV takeoff and positioning: The UAV takes off according to the preset route and uses the GPS module for positioning to ensure noise monitoring in different areas of the construction site.

[0071] Multi-point noise collection: During flight, the UAV collects noise data in real time at different heights and positions through the installed high-sensitivity microphones and noise sensors. The data collection frequency is set to 1 time per second to ensure real-time monitoring of noise.

[0072] 2. Data transmission

[0073] Data packaging: The collected noise data (including timestamp, position coordinates, noise intensity, etc.) is packaged into data packets.

[0074] Data transmission module: Use a wireless communication module (such as 4G / 5G or Wi-Fi) to transmit the data packets to the control center in real time.

[0075] 3. Data processing and analysis

[0076] Data reception: The control center receives the data packets from the UAV and unpacks them.

[0077] Noise feature extraction:

[0078] Spectrum analysis: (1) Use the fast Fourier transform (FFT) algorithm to convert the time-domain signal into a frequency-domain signal to obtain the spectrum information of the noise.

[0079] (2) Formula:

[0080] Feature calculation: (1) Calculate the equivalent continuous sound level (Leq) and sound pressure level (Lmax) of the noise

[0081] (2) Leq calculation formula:

[0082]

[0083] Lmax is the maximum sound pressure level during the monitoring period.

[0084] Noise classification and identification:

[0085] (1) Classify the noise using the Support Vector Machine (SVM) or Random Forest algorithm to identify the noise source.

[0086] (2) The features used for training the model include frequency features, amplitude features, etc.

[0087] (3) Training process: Collect the labeled data set (including the features of different noise sources), perform feature selection and model training.

[0088] 4. Report Generation

[0089] According to the analysis results, automatically generate a noise detection report, the content of which includes:

[0090] (1) Noise level (Leq and Lmax)

[0091] (2) Noise type and its source

[0092] (3) Monitoring time and location

[0093] (4) Recommended noise reduction measures

[0094] 5. Noise Reduction Processing

[0095] (1) Noise threshold judgment: The control center judges whether the current noise exceeds the specified value according to the set threshold (such as 85 dB).

[0096] (2) Activation of active noise reduction equipment: If the noise exceeds the threshold, the control center instructs the active noise reduction equipment to start.

[0097] (3) Noise signal processing:

[0098] Signal analysis: Conduct real-time analysis on the monitored noise signal to extract its frequency and amplitude information.

[0099] Generate anti-noise: Use the phase inversion technology to generate a sound wave with a phase opposite to that of the noise signal

[0100] Formula:

[0101] Where, is the phase inversion angle.

[0102] (4) Feedback mechanism: The active noise reduction system dynamically adjusts the frequency and amplitude of the anti-noise according to the environmental changes and noise reduction effect to ensure the persistence and stability of the noise reduction effect.

[0103] 6. Effect Evaluation

[0104] (1) Monitoring of noise reduction effect: Continuously monitor the noise level during the operation of the noise reduction equipment to evaluate the noise reduction effect.

[0105] (2) Adjustment and optimization: According to the monitoring results, adjust the noise reduction strategy to ensure that the noise level remains within a safe range.

[0106] Among them, the process of the control center 1 processing and analyzing the data transmitted by the UAV includes:

[0107] S3-1, Data reception, the control center 1 receives and unpacks the data packets transmitted by the UAV;

[0108] S3-2, Noise feature extraction, perform spectrum analysis, feature calculation, noise classification and recognition on the noise data.

[0109] In this embodiment, the process of the control center 1 controlling the active noise reduction device 3 to perform noise reduction processing includes:

[0110] S5-1, Noise threshold judgment;

[0111] S5-2, Start the active noise reduction device;

[0112] S5-3, Noise signal processing;

[0113] S5-4, Dynamically adjust the frequency and amplitude of the anti-noise.

[0114] A UAV-based construction site noise detection and noise reduction system of the present application exhibits a series of remarkable and innovative advantages. These advantages not only improve the efficiency and accuracy of construction site noise management, but also reflect the in-depth application of technology in the field of environmental protection. The following is a detailed elaboration of the main advantages of this system:

[0115] 1. Comprehensive coverage and efficient collection

[0116] This system uses the UAV as the front end for noise data collection, greatly expanding the monitoring range. The UAV can easily penetrate the complex and changeable construction site environment. Whether it is between high-rise buildings or in narrow construction areas, it can achieve comprehensive coverage. This feature ensures that the noise data is collected comprehensively and efficiently, avoiding the blind spots that may exist in traditional ground monitoring methods. At the same time, the high-altitude operation of the UAV also reduces the risk of personnel being directly exposed to the noise environment, protecting the health and safety of the monitoring personnel.

[0117] 2. High-precision noise detection and analysis

[0118] The built-in noise detection module of the system adopts advanced sensing technologies and signal processing algorithms, which can accurately capture and quantify the intensity and frequency characteristics of construction site noise. Combining with efficient algorithms such as the Fast Fourier Transform (FFT), the control center can perform in-depth spectral analysis on the collected noise data, extract key noise characteristics such as peak frequency and overall sound level, and provide a scientific basis for subsequent classification recognition and noise reduction processing. This high-precision detection and analysis ability enables the system to more accurately identify the noise sources and evaluate their potential impacts on the environment and human body.

[0119] 3. Intelligent Active Noise Reduction

[0120] The active noise reduction devices are another highlight of the system. They can intelligently activate and adjust the noise reduction strategy according to the analysis results of the control center, generate an anti-noise signal with the opposite phase to the construction site noise, and thus effectively cancel the noise. This intelligent active noise reduction method not only improves the noise reduction efficiency but also ensures the continuous optimization of the noise reduction effect. In addition, the distributed layout of the noise reduction devices can perform customized processing according to the noise characteristics of different areas of the construction site, achieving more accurate and comprehensive noise control.

[0121] 4. UAV Self-Noise Reduction Technology

[0122] The specially designed UAV self-noise reduction function of the system further improves the accuracy of noise data collection. Through the built-in audio sensor and noise cancellation module, the UAV can monitor and eliminate its own generated noise in real time, ensuring that the collected data is not disturbed. This innovative design not only reflects the pursuit of perfection in details but also provides the possibility for the application of UAVs in noise-sensitive areas.

[0123] 5. Intelligent Flight Control to Reduce Flight Noise

[0124] The intelligent control system adopted by the UAV part can intelligently adjust the flight speed and altitude of the UAV according to the flight environment and mission requirements, and select the optimal flight path. This intelligent flight strategy not only improves the operation efficiency but also effectively reduces the airflow noise generated during the flight process, further reducing the interference to the surrounding environment of the construction site.

[0125] 6. Real-time Evaluation and Dynamic Adjustment

[0126] The system has the ability to evaluate the noise reduction effect in real time. According to the noise data after noise reduction processing, it can dynamically adjust the noise reduction strategy to ensure that the noise reduction effect always remains in the optimal state. This real-time feedback and dynamic adjustment mechanism enables the system to flexibly respond to the complex changes of construction site noise and achieve the maximization of the noise reduction effect.

[0127] 7. Promote Green Construction and Enhance Corporate Image

[0128] The application of this system not only helps to reduce the impact of construction site noise on surrounding residents and construction workers, improve the comfort of the construction environment, but also demonstrates the enterprise's sense of responsibility for environmental protection and enhances the enterprise image. In today's era of advocating green construction, the popularization and application of this system undoubtedly have important practical significance and social value.

[0129] 8. Improving Construction Efficiency and Safety

[0130] The application of this system makes the construction site noise management more intelligent and automated, reducing the need for manual intervention. This not only improves construction efficiency, enabling the project to be completed faster, but also reduces the exposure risk of personnel in the noise environment and enhances construction safety. By using drones for noise monitoring, it is possible to avoid personnel entering potentially dangerous areas and ensure the safety of construction workers.

[0131] 9. Data Visualization and Report Generation

[0132] The control center can not only conduct in-depth analysis of the noise data collected by drones, but also visually display these data in the form of charts, reports, etc. This way of data visualization enables construction site managers to clearly understand information such as noise distribution and noise reduction effects at a glance, providing strong support for decision-making. At the same time, the system can automatically generate detailed noise detection reports, providing a scientific basis for the supervision of environmental protection departments.

[0133] In summary, the drone-based construction site noise detection and noise reduction system, with its multiple advantages such as comprehensive coverage, high-precision detection, intelligent noise reduction, self-noise reduction technology, intelligent flight control, real-time evaluation and dynamic adjustment, has brought unprecedented changes to construction site noise management and is a powerful tool for promoting green construction and protecting the ecological environment.

[0134] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A construction site noise detection and noise reduction system based on drones, characterized in that: include: A control center (1) is used to analyze and process the noise data; A drone part (2), the drone part (2) comprising at least one drone, which is in communication connection with the control center and is used to collect noise data and transmit the noise data to the control center (1); Active noise reduction equipment (3), a plurality of the noise reduction equipment (3) are distributed around the construction site, are connected to the control center (1) in communication, and use anti-noise to reduce noise.

2. A construction site noise detection and noise reduction system based on drone according to claim 1, characterized in that: The drone is provided with: Noise detection module, used to collect noise data; A data transmission module is used for performing data transmission with the control center (1).

3. The construction site noise detection and noise reduction system based on drone according to claim 1 is characterized in that: The drone is also provided with an audio sensor and a noise elimination module. The audio sensor is used to monitor the noise generated by the drone itself in real time, and the noise elimination module eliminates its own noise according to the noise information monitored by the audio sensor.

4. The construction site noise detection and noise reduction system based on drone according to claim 1 is characterized in that: The drone part (2) adopts a low-noise electric motor to reduce the airflow noise generated during the flight.

5. The construction site noise detection and noise reduction system based on drone according to claim 1 is characterized in that: The drone part (2) adopts an intelligent control system to intelligently adjust the flight speed and altitude of the drone and select the optimal flight path to reduce flight noise.

6. A construction site noise detection and noise reduction system based on a drone according to any one of claims 1 to 5, characterized in that: The specific workflow is as follows: S1, noise data collection by drone; S2, transmitting the collected data to the control center (1) through a data transmission module; S3, the control center (1) processes and analyzes the data transmitted by the drone; S4, generating a noise detection report according to the analysis results; S5, the control center (1) controls the active noise reduction device (3) to perform noise reduction processing; S6, evaluate the effect in real time.

7. The construction site noise detection and noise reduction system based on drone according to claim 6 is characterized in that: The control center (1) processes and analyzes the data transmitted by the drone, including: S3-1, data reception, the control center (1) receives and unpacks the data packets transmitted by the drone; S3-2, noise feature extraction, spectrum analysis, feature calculation, noise classification and identification of noise data.

8. The construction site noise detection and noise reduction system based on drone according to claim 6 is characterized in that: The process in which the control center (1) controls the active noise reduction device (3) to perform noise reduction processing includes: S5-1, noise threshold determination; S5-2, start the active noise reduction device; S5-3, noisy signal processing; S5-4, dynamically adjust the frequency and amplitude of the anti-noise.

9. The construction site noise detection and noise reduction system based on drone according to claim 7, characterized in that: The spectrum analysis of noise data uses the fast Fourier transform algorithm to convert the time domain signal into the frequency domain signal.

10. The construction site noise detection and noise reduction system based on drone according to claim 3, characterized in that: The noise elimination module generates a reverse sound wave using a phase inversion technique according to the noise information detected by the audio sensor to cancel part of the self-noise.

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