Intelligent sound wave countermeasure system and method
Through intelligent acoustic wave adversarial systems and methods, the acoustic wave adversarial process is evaluated and monitored in real time, and the problems of incomplete effect evaluation and instability in the existing technology are solved, achieving a more efficient and stable acoustic wave adversarial effect.
Patent Information
- Application Number
- CN202411803285.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-10
- Publication Date
- 2025-02-25
- Estimated Expiration
- 2044-12-10
AI Technical Summary
The existing acoustic wave adversarial technology uses a single parameter when evaluating the effect, resulting in insufficient comprehensiveness of the evaluation results, affecting the stability of the adversarial, and when it is unstable during the adversarial process, it is difficult to judge the cause of the impact in a timely manner and affect subsequent adjustments.
An intelligent sound wave countermeasure system and method are proposed to collect the signal data of the target sound wave in real time, calculate the adversarial effect evaluation value and the adversarial effect degree value, generate adversarial unstable signal, and monitor the wind power value in real time, calculate the abnormal correlation judgment value, and finally, the final Sound waves adjust signal data.
A more comprehensive evaluation of the sonic wave confrontation effect is achieved, the stability of the confrontation process is improved, the confrontation strategy is adjusted in a timely manner, and the sonic wave confrontation effect is optimized.
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Figure CN119289784B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of sound wave countermeasures, and in particular to an intelligent sound wave countermeasure system and method. Background Art
[0002] Acoustic wave countermeasure is a technical means that uses sound waves (including ultrasound, infrasound, etc.) as a medium to transmit, interfere, destroy or defend information. It covers the application of sound waves in both offense and defense, and aims to respond to sound wave attacks or use sound waves for defense in an intelligent way. Acoustic wave countermeasure technology has a wide range of applications in many fields, including military, security, communications, and medical care. In the military field, acoustic wave countermeasure technology can be used to interfere with enemy communications, destroy enemy equipment, or conduct psychological warfare. In the security field, acoustic wave countermeasure technology can be used to protect critical information infrastructure from acoustic wave attacks. In the communication field, acoustic wave countermeasure technology can be used to improve the security and reliability of communication systems. In the medical field, acoustic wave countermeasure technology may be used to treat certain diseases or perform non-invasive surgical operations.
[0003] However, currently, when conducting acoustic wave confrontation, the effect evaluation of acoustic wave confrontation often uses a single parameter evaluation, which leads to insufficient comprehensiveness of the evaluation results, thus affecting the stability of the confrontation. At the same time, when the confrontation process is unstable, the cause of the impact cannot be judged in time, so that abnormal situations in the subsequent acoustic wave confrontation process cannot be adjusted in time;
[0004] In view of this, we propose an intelligent acoustic wave countermeasure system and method. Summary of the invention
[0005] The purpose of the present invention is to provide an intelligent acoustic wave countermeasure system and method to solve the technical problems in the above background.
[0006] The purpose of the present invention can be achieved through the following technical solutions:
[0007] In a first aspect, the present invention provides an intelligent sound wave countermeasure method, comprising the following steps: Step 1: collecting signal data of target sound waves in real time, processing the data, and calculating a countermeasure effect evaluation value;
[0008] Step 2: Obtain the real-time confrontation effect evaluation value, process it, and calculate the confrontation effect degree value;
[0009] Step 3: Compare the confrontation effect degree value with the confrontation effect degree threshold to generate a confrontation instability signal; Step 4: Based on the generated confrontation instability signal, monitor the wind force value in the sound wave confrontation process in real time, process it, and calculate the abnormal correlation judgment value; Step 5: Compare the abnormal correlation judgment value with the abnormal correlation judgment threshold to generate an abnormal synchronization signal; Step 6: Based on the abnormal synchronization signal, adjust the sound wave confrontation signal data.
[0010] As a further solution of the present invention: the process of obtaining the antagonistic effect evaluation value is as follows:
[0011] Obtain real-time frequency change ratio and real-time frequency change ratio;
[0012] Substitute into the formula , the countermeasure effect evaluation value XG is calculated, where PL represents the real-time frequency change ratio, ZF represents the real-time frequency change ratio, and a1 and a2 are preset proportional coefficients.
[0013] As a further solution of the present invention: the real-time frequency change ratio and the acquisition process of the real-time frequency change ratio are:
[0014] During the acoustic wave confrontation, a monitoring period is preset to collect signal data of the target acoustic wave in real time, wherein the signal data includes a real-time frequency value and a real-time amplitude value;
[0015] Obtaining the initial frequency value and initial amplitude value of the target sound wave;
[0016] The real-time frequency value of the target sound wave is calculated to be different from the initial frequency value, the absolute value of the difference is taken to obtain the real-time frequency change value, and the ratio of the real-time frequency change value to the initial frequency value is calculated to obtain the real-time frequency change ratio;
[0017] The real-time amplitude value of the target sound wave is calculated to be different from the initial amplitude value, the absolute value of the difference is taken to obtain the real-time amplitude change value, and the ratio of the real-time amplitude change value to the initial amplitude value is calculated to obtain the real-time amplitude change ratio;
[0018] As a further solution of the present invention: the process of obtaining the antagonistic effect degree value is as follows:
[0019] Obtain invalid time ratio and invalid deviation ratio;
[0020] Substitute into the formula , the countermeasure effect degree value CD is calculated, where SJ represents the invalid time ratio, PC represents the invalid deviation ratio, and s1 and s2 are preset proportional coefficients.
[0021] As a further solution of the present invention: the process of obtaining the invalid time proportion and the invalid deviation ratio is:
[0022] Obtain the invalid time period, sum up all the invalid time periods to obtain the total invalid time period, perform ratio processing on the total invalid time period and the monitoring time period to obtain the invalid time ratio;
[0023] Obtain the minimum value of the real-time confrontation effect evaluation value corresponding to the invalid period, mark it as the invalid minimum value, calculate the difference between the invalid minimum value and the confrontation effect evaluation threshold, take the absolute value of the difference to obtain the invalid deviation value, sum the invalid deviation values of all invalid periods to obtain the total invalid deviation value, perform ratio processing on the total invalid deviation value and the confrontation effect evaluation threshold to obtain the invalid deviation ratio;
[0024] As a further solution of the present invention: the process of obtaining the invalid period is:
[0025] During the monitoring period, obtain the real-time confrontation effect evaluation value during the acoustic wave confrontation process;
[0026] comparing the real-time adversarial effect evaluation value with the adversarial effect evaluation threshold;
[0027] If the real-time confrontation effect evaluation value is less than the confrontation effect evaluation threshold, an invalid confrontation signal is generated;
[0028] The time period during which an invalid adversarial signal is generated is obtained and marked as an invalid period.
[0029] As a further solution of the present invention: the process of obtaining the abnormal association judgment value is:
[0030] Obtain the time period for generating abnormal wind force signals, mark it as the abnormal wind force period, obtain the number of abnormal wind force period values, obtain the invalid time period and the number of invalid time period values;
[0031] Extract the overlapping period of the abnormal wind period and the invalid period, mark it as the abnormal overlapping period, obtain the number of abnormal overlapping periods, perform ratio processing on the number of abnormal overlapping periods and the number of invalid periods, and obtain the proportion of abnormal overlapping periods;
[0032] Extract the invalid time period corresponding to the abnormal coincidence time period, perform ratio processing on the time value of the abnormal coincidence time period and the time value of the corresponding invalid time period to obtain the abnormal coincidence time proportion, sum up the coincidence time proportions of all abnormal coincidence time periods to obtain the total value of the abnormal coincidence time proportion;
[0033] The abnormal correlation judgment value is obtained by multiplying the proportion of abnormal overlap time periods by the total value of abnormal overlap time proportions.
[0034] As a further solution of the present invention: the process of generating the abnormal wind force signal is:
[0035] During the monitoring period, obtain real-time wind force values;
[0036] The real-time wind speed value is compared with the wind speed threshold value. If the real-time wind speed value is greater than the wind speed threshold value, a wind speed abnormality signal is generated.
[0037] As a further solution of the present invention: the process of adjusting the acoustic wave countermeasure signal data includes: when an abnormal wind force signal is generated;
[0038] Obtain a real-time wind force value, calculate the difference between the real-time wind force value and the wind force threshold, take the absolute value of the difference to obtain a wind force deviation value, calculate the ratio of the wind force deviation value to the real-time wind force value, and obtain a control ratio;
[0039] Acquire the real-time transmission frequency value of the counteracting sound wave, multiply the real-time transmission frequency value of the counteracting sound wave by the control ratio to obtain a transmission frequency compensation value, and add the transmission frequency compensation value to the real-time transmission frequency value of the counteracting sound wave to obtain a transmission frequency target value;
[0040] The real-time emission amplitude value of the counteracting sound wave is obtained, the real-time emission amplitude value of the counteracting sound wave is multiplied by the control ratio to obtain the emission amplitude compensation value, and the emission amplitude compensation value is added to the real-time emission amplitude value of the counteracting sound wave to obtain the emission amplitude rate target value.
[0041] In a second aspect, the present invention provides an intelligent acoustic wave countermeasure system, the system comprising:
[0042] Countermeasure effect evaluation value calculation module: collects the signal data of the target sound wave in real time, processes it, and calculates the countermeasure effect evaluation value;
[0043] Countermeasure effect degree value calculation module: obtains the real-time countermeasure effect evaluation value, processes it, and calculates the countermeasure effect degree value;
[0044] The confrontation stability judgment module compares the confrontation effect value with the confrontation effect threshold to generate a confrontation instability signal;
[0045] Abnormal correlation judgment value calculation module: Based on the generated confrontation instability signal, the wind force value during the acoustic wave confrontation process is monitored in real time, processed, and the abnormal correlation judgment value is calculated;
[0046] Synchronous correlation judgment module: compares the abnormal correlation judgment value with the abnormal correlation judgment threshold and generates an abnormal synchronization signal;
[0047] Parameter adjustment module: adjusts the acoustic wave countermeasure signal data based on the abnormal synchronization signal.
[0048] Beneficial effects of the present invention:
[0049] The present invention monitors the frequency value and amplitude value of the target sound wave in real time, and calculates the confrontation effect evaluation value through the real-time frequency change ratio and the real-time amplitude change ratio, comprehensively considering the changes of the target sound wave in the two dimensions of frequency and amplitude, so as to more comprehensively evaluate the influence of the confrontation sound wave on the target sound wave, and obtains the confrontation effect evaluation value, and compares the confrontation effect evaluation value with the confrontation effect evaluation threshold, generates a confrontation invalid signal or a confrontation effective signal, and calculates the confrontation effect degree value based on the judgment result, and compares it with the confrontation effect degree threshold, so as to judge the stability of the sound wave confrontation process, and make timely adjustments when it is unstable;
[0050] The present invention obtains the real-time wind force value in the confrontation process when the confrontation is unstable, judges the wind force value, generates a normal wind force signal or an abnormal wind force signal, obtains the abnormal wind force period, calculates the abnormal correlation judgment value, judges whether the invalid confrontation is accompanied by the abnormal wind force, and monitors the wind force value of the next monitoring period when the abnormal synchronization signal is generated. When the abnormal wind force occurs, the emission frequency value and the emission amplitude value of the confrontation sound wave are adjusted, so that it can be judged whether the cause of the invalid sound wave confrontation is the influence of wind force. If so, when the abnormal wind force occurs in the next monitoring period, the emission frequency value and the emission amplitude value of the confrontation sound wave are adjusted in time to optimize the sound wave confrontation effect. BRIEF DESCRIPTION OF THE DRAWINGS
[0051] The present invention will be further described below in conjunction with the accompanying drawings.
[0052] Figure 1 It is a flowchart of an intelligent sound wave countermeasure method of the present invention;
[0053] Figure 2 It is a flowchart of the process of obtaining the countermeasure effect evaluation value in an intelligent sound wave countermeasure method of the present invention;
[0054] Figure 3 It is a block diagram of an intelligent sound wave countermeasure system of the present invention;
[0055] Figure 4 It is a schematic diagram of an intelligent sound wave countermeasure device of the present invention.
[0056] In the figure: 1. Noise monitor; 2. Central main board; 3. Decibel display; 4. Noise warning light; 5. Directional sound wave source. DETAILED DESCRIPTION
[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention. Example
[0058] See also Figure 1 and Figure 2 As shown, an intelligent sound wave countermeasure method described in an embodiment of the present invention includes the following steps:
[0059] Step 1: Collect the signal data of the target sound wave in real time, process it, and calculate the countermeasure effect evaluation value;
[0060] In some embodiments, during the process of acoustic wave confrontation, a monitoring period is preset to collect signal data of the target acoustic wave in real time, wherein the signal data includes a real-time frequency value and a real-time amplitude value;
[0061] The monitoring period is set by those skilled in the art based on experience;
[0062] Obtaining the initial frequency value and initial amplitude value of the target sound wave;
[0063] The real-time frequency value of the target sound wave is calculated to be different from the initial frequency value, the absolute value of the difference is taken to obtain the real-time frequency change value, and the ratio of the real-time frequency change value to the initial frequency value is calculated to obtain the real-time frequency change ratio;
[0064] The real-time amplitude value of the target sound wave is calculated to be different from the initial amplitude value, the absolute value of the difference is taken to obtain the real-time amplitude change value, and the ratio of the real-time amplitude change value to the initial amplitude value is calculated to obtain the real-time amplitude change ratio;
[0065] Substitute into the formula , calculate the countermeasure effect evaluation value XG, where PL represents the real-time frequency change ratio, ZF represents the real-time amplitude change ratio, and a1 and a2 are preset proportional coefficients;
[0066] It needs to be explained that the meaning reflected by the confrontation effect evaluation value is: the confrontation effect evaluation value is calculated by the real-time frequency change ratio and the real-time amplitude change ratio, that is, the larger the real-time frequency change ratio is, the larger the frequency change of the target sound wave is, the larger the confrontation effect evaluation value is, indicating that the confrontation effect of the confrontation sound wave on the target sound wave is better and the confrontation is more effective, that is, the larger the real-time amplitude change ratio is, the larger the amplitude change of the target sound wave is, the larger the confrontation effect evaluation value is, indicating that the confrontation effect of the confrontation sound wave on the target sound wave is better and the confrontation is more effective;
[0067] Step 2: Obtain the real-time confrontation effect evaluation value, process it, and calculate the confrontation effect degree value;
[0068] In some embodiments, during the monitoring period, a real-time confrontation effect evaluation value during the acoustic wave confrontation process is obtained;
[0069] Compare the real-time confrontation effect evaluation value with the confrontation effect evaluation threshold, wherein the confrontation effect evaluation threshold is a critical value used to determine whether the acoustic wave confrontation is effective, and is summarized and set by technicians in this field based on historical experimental data;
[0070] If the real-time confrontation effect evaluation value is less than the confrontation effect evaluation threshold, it means that the confrontation effect on the target sound wave is poor, and an invalid confrontation signal is generated;
[0071] If the real-time confrontation effect evaluation value is greater than or equal to the confrontation effect evaluation threshold, it means that the confrontation effect on the target sound wave is good and an effective confrontation signal is generated;
[0072] Obtain the time period in which the invalid confrontation signal is generated, mark it as an invalid time period, sum up all the invalid time periods to obtain the total time of the invalid time periods, perform ratio processing on the total time of the invalid time periods and the monitoring time period to obtain the invalid time ratio;
[0073] Obtain the minimum value of the real-time confrontation effect evaluation value corresponding to the invalid period, mark it as the invalid minimum value, calculate the difference between the invalid minimum value and the confrontation effect evaluation threshold, take the absolute value of the difference to obtain the invalid deviation value, sum the invalid deviation values of all invalid periods to obtain the total invalid deviation value, perform ratio processing on the total invalid deviation value and the confrontation effect evaluation threshold to obtain the invalid deviation ratio;
[0074] Substitute into the formula , the countermeasure effect degree value CD is calculated, where SJ represents the invalid time ratio, PC represents the invalid deviation ratio, and s1 and s2 are preset proportional coefficients;
[0075] It needs to be explained that the meaning of the confrontation effect degree value is as follows: the confrontation effect degree value is calculated by the invalid time ratio and the invalid deviation ratio, that is, the larger the invalid time ratio, the larger the confrontation effect degree value, which means that the invalid confrontation time is longer during the monitoring period and the confrontation is more unstable; that is, the larger the invalid deviation ratio, the larger the confrontation effect degree value, which means that the deviation between the minimum confrontation effect evaluation value corresponding to the invalidity during the monitoring period and the confrontation effect evaluation threshold is greater, and the confrontation is more unstable;
[0076] Step 3: Compare the confrontation effect degree value with the confrontation effect degree threshold to generate a confrontation stability signal or a confrontation instability signal;
[0077] In some embodiments, the confrontation effect degree value is obtained, and the confrontation effect degree value is compared with the confrontation effect degree threshold, wherein the confrontation effect degree threshold is a critical value used to determine whether the sound wave confrontation process is stable, and is summarized and set by technicians in this field based on historical multiple experimental data;
[0078] If the real-time confrontation effect degree value is less than or equal to the confrontation effect degree threshold, it means that the acoustic wave confrontation process is relatively stable, and a confrontation stability signal is generated;
[0079] If the real-time confrontation degree evaluation value is greater than the confrontation effect degree threshold, it means that the acoustic confrontation process is unstable, and a confrontation instability signal is generated;
[0080] The technical solution of the embodiment of the present invention is mainly as follows: by real-time monitoring of the frequency value and amplitude value of the target sound wave, and calculating the countermeasure effect evaluation value through the real-time frequency change ratio and the real-time amplitude change ratio, the changes of the target sound wave in the two dimensions of frequency and amplitude are comprehensively considered, so as to more comprehensively evaluate the influence of the countermeasure sound wave on the target sound wave, and by obtaining the countermeasure effect evaluation value and comparing the countermeasure effect evaluation value with the countermeasure effect evaluation threshold, a countermeasure invalid signal or a countermeasure effective signal is generated, and the countermeasure effect degree value is calculated based on the judgment result and compared with the countermeasure effect degree threshold, so as to judge the stability of the sound wave countermeasure process and make timely adjustments when it is unstable. Example
[0081] On the basis of Example 1, an intelligent sound wave countermeasure method described in an embodiment of the present invention further includes the following steps:
[0082] Step 4: Based on the generated unstable signal, monitor the influencing characteristic values in the acoustic wave confrontation process in real time, process them, and calculate the abnormal correlation judgment value;
[0083] In some embodiments, during the monitoring period, a real-time impact characteristic value is obtained.
[0084] Among them, the influencing characteristic values include but are not limited to: real-time wind value, air pressure, temperature and humidity;
[0085] In some possible embodiments, the real-time wind force value is compared with a wind force threshold value, wherein the wind force threshold value is set by a person skilled in the art based on a summary of multiple historical experimental data;
[0086] Exemplarily, wind force values may be obtained by monitoring using an anemometer;
[0087] If the real-time wind force value is less than or equal to the wind force threshold, it means that the current wind force value is in a normal state, and a normal wind force signal is generated;
[0088] If the real-time wind force value is greater than the wind force threshold, it means that the current wind force value is in an abnormal state, and a wind force abnormality signal is generated;
[0089] Obtain the time period for generating abnormal wind force signals, mark it as the abnormal wind force period, obtain the number of abnormal wind force period values, obtain the invalid time period and the number of invalid time period values;
[0090] Extract the overlapping period of the abnormal wind period and the invalid period, mark it as the abnormal overlapping period, obtain the number of abnormal overlapping periods, perform ratio processing on the number of abnormal overlapping periods and the number of invalid periods, and obtain the proportion of abnormal overlapping periods;
[0091] Extract the invalid time period corresponding to the abnormal coincidence time period, perform ratio processing on the time value of the abnormal coincidence time period and the time value of the corresponding invalid time period to obtain the abnormal coincidence time proportion, sum up the coincidence time proportions of all abnormal coincidence time periods to obtain the total value of the abnormal coincidence time proportion;
[0092] The abnormal overlap period ratio is multiplied by the total value of the abnormal overlap time ratio to obtain the abnormal correlation judgment value;
[0093] It needs to be explained that the meaning reflected by the abnormal correlation judgment value is: the abnormal correlation judgment value is calculated by the proportion of abnormal overlap period and the total value of abnormal overlap time proportion, that is, the larger the proportion of abnormal overlap period, the larger the abnormal correlation judgment value, the more abnormal overlap periods between invalid period and wind abnormal period, the higher the overlap between invalid confrontation and wind abnormality, and the greater the correlation, that is, the larger the total value of abnormal overlap time proportion, the larger the abnormal correlation judgment value, the larger the proportion of abnormal overlap period time value in invalid period time value, the higher the overlap between invalid confrontation and wind abnormality, and the greater the correlation;
[0094] Step 5: Compare the abnormal correlation judgment value with the abnormal correlation judgment threshold to generate an abnormal synchronization signal or an abnormal non-synchronization signal;
[0095] In some embodiments, an abnormal correlation judgment value is obtained, and the abnormal correlation judgment value is compared with an abnormal correlation judgment threshold, wherein the abnormal correlation judgment threshold is set by a person skilled in the art based on a summary of multiple historical experimental data;
[0096] If the abnormal correlation judgment value is less than or equal to the abnormal correlation judgment threshold, the correlation between the wind anomaly and the invalid countermeasure coincidence is small, and an abnormal asynchronous signal is generated;
[0097] If the abnormal correlation judgment value is greater than the abnormal correlation judgment threshold, the wind anomaly and the countermeasure invalid coincidence correlation are relatively large, and an abnormal synchronization signal is generated;
[0098] Step 6: Based on the abnormal synchronization signal, the countermeasure sound wave signal data is adjusted;
[0099] The countermeasure sound wave signal data includes a transmission frequency value and a transmission amplitude value;
[0100] In some embodiments, based on the generated abnormal synchronization signal, the wind force value is monitored in real time during the next monitoring period, and when the abnormal wind force signal is generated, the acoustic wave countermeasure signal data is adjusted, and the specific process is as follows;
[0101] Obtain a real-time wind force value, calculate the difference between the real-time wind force value and the wind force threshold, take the absolute value of the difference to obtain a wind force deviation value, calculate the ratio of the wind force deviation value to the real-time wind force value, and obtain a control ratio;
[0102] Acquire the real-time transmission frequency value of the counteracting sound wave, multiply the real-time transmission frequency value of the counteracting sound wave by the control ratio to obtain a transmission frequency compensation value, and add the transmission frequency compensation value to the real-time transmission frequency value of the counteracting sound wave to obtain a transmission frequency target value;
[0103] Acquire the real-time emission amplitude value of the counteracting sound wave, multiply the real-time emission amplitude value of the counteracting sound wave by the control ratio to obtain the emission amplitude compensation value, and add the emission amplitude compensation value to the real-time emission amplitude value of the counteracting sound wave to obtain the emission amplitude rate target value;
[0104] The technical solution of the embodiment of the present invention is mainly as follows: when the confrontation is unstable, the real-time wind value in the confrontation process is obtained, and the wind value is judged to generate a normal wind signal or an abnormal wind signal, the abnormal wind time period is obtained, and the abnormal correlation judgment value is calculated to judge whether the invalid confrontation is accompanied by the wind abnormality. When the abnormal synchronization signal is generated, the wind value of the next monitoring period is monitored. When the wind abnormality occurs, the emission frequency value and the emission amplitude value of the confrontation sound wave are adjusted, so that it can be judged whether the cause of the invalid sound wave confrontation is the influence of wind. If so, when the wind abnormality occurs in the next monitoring period, the emission frequency value and the emission amplitude value of the confrontation sound wave are adjusted in time to optimize the sound wave confrontation effect. Example
[0105] Based on Example 1 and Example 2, please refer to Figure 3 As shown, an intelligent acoustic wave countermeasure system according to an embodiment of the present invention includes:
[0106] Countermeasure effect evaluation value calculation module: collects the signal data of the target sound wave in real time, processes it, and calculates the countermeasure effect evaluation value;
[0107] Countermeasure effect degree value calculation module: obtains the real-time countermeasure effect evaluation value, processes it, and calculates the countermeasure effect degree value;
[0108] The confrontation stability judgment module compares the confrontation effect value with the confrontation effect threshold to generate a confrontation stability signal or a confrontation instability signal;
[0109] Abnormal correlation judgment value calculation module: Based on the generated confrontation instability signal, the wind force value during the acoustic wave confrontation process is monitored in real time, processed, and the abnormal correlation judgment value is calculated;
[0110] Synchronous correlation judgment module: compares the abnormal correlation judgment value with the abnormal correlation judgment threshold, and generates an abnormal synchronization signal or an abnormal non-synchronization signal;
[0111] Parameter adjustment module: adjusts the counteracoustic signal data based on the abnormal synchronization signal;
[0112] The countermeasure sound wave signal data includes a transmission frequency value and a transmission amplitude value. Example
[0113] Based on Example 1, Example 2 and Example 3, please refer to Figure 4 As shown, an intelligent sound wave countermeasure device according to an embodiment of the present invention comprises: a noise monitor 1, a central mainboard 2, a decibel display 3, a beneficial sound warning light 4, and a directional beneficial sound wave source 5;
[0114] The noise detector 1 includes an indoor detector and an outdoor detector;
[0115] Indoor detector: used to receive and monitor sound signals in indoor environment;
[0116] Outdoor detector: used to receive and monitor sound signals in outdoor environments, providing a comprehensive source of noise data for the equipment;
[0117] The central motherboard 2 is used to process the received sound signal, extract the basic characteristics of the sound, such as frequency, amplitude, etc., identify the specific content or type of the sound, such as human voice, animal sound, machine sound, etc., and determine the specific direction and distance of the sound source by calculating the time difference or phase difference of the sound signal reaching different sensors;
[0118] Decibel display 3: displays the indoor sound value in real time, helping users to intuitively understand the current noise level;
[0119] Yisheng warning light 4: When the noise detector detects that the noise value exceeds the preset standard, the warning light will light up to remind the user to take noise reduction measures;
[0120] Directional sound wave source 5: can emit full-frequency sound and adjust the frequency, volume and direction of the sound as needed;
[0121] Working principle of this equipment: indoor detector and outdoor detector receive indoor and outdoor sound signals respectively, and transmit the signals to central main board 2. Central main board 2 processes the sound signal, extracts features, identifies the sound type, and calculates the location of the sound source. The decibel display 3 displays the indoor sound value in real time. When the noise value exceeds the preset standard, the sound warning light 4 lights up. According to the instruction of central main board 2, the directional sound wave source 5 selects the appropriate frequency, volume and direction to make a sound. By adjusting the shape, position or phase of the sound-generating device, the directional emission of the sound is realized. The sound active noise reduction system detects the noise signal in the surrounding environment in real time, analyzes the noise signal, generates a noise reduction signal, and transmits the noise reduction signal to the vicinity of the noise source through the directional sound wave source to realize the active noise reduction of the sound.
[0122] The size of the above threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the cardinality set by the technicians in this field for each group of sample data. For example, in the actual process, there are many groups of real-time frequency change ratios and real-time amplitude change ratios. Many groups of real-time frequency change ratios and real-time amplitude change ratios are processed to obtain the corresponding groups of confrontation effect evaluation values. The staff evaluates the sound wave confrontation effect based on so many groups of confrontation effect evaluation values, thereby obtaining a corresponding relationship between a confrontation effect evaluation value and the sound wave confrontation effect, and then derives and divides the threshold of the confrontation effect evaluation value according to the sound wave confrontation effect, thereby obtaining a confrontation effect evaluation value threshold, and compares the obtained confrontation effect evaluation value with the confrontation effect evaluation value threshold, that is, completes the identification of the sound wave confrontation effect corresponding to the confrontation effect evaluation value.
[0123] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.
Claims
1. An intelligent sound wave countermeasure method, characterized in that: The following steps are involved: Step 1: Collect the signal data of the target sound wave in real time, process it, and calculate the countermeasure effect evaluation value; During the acoustic wave confrontation, a monitoring period is preset to collect signal data of the target acoustic wave in real time, wherein the signal data includes a real-time frequency value and a real-time amplitude value; Obtaining the initial frequency value and initial amplitude value of the target sound wave; The real-time frequency value of the target sound wave is calculated to be different from the initial frequency value, the absolute value of the difference is taken to obtain the real-time frequency change value, and the ratio of the real-time frequency change value to the initial frequency value is calculated to obtain the real-time frequency change ratio; The real-time amplitude value of the target sound wave is calculated to be different from the initial amplitude value, the absolute value of the difference is taken to obtain the real-time amplitude change value, and the ratio of the real-time amplitude change value to the initial amplitude value is calculated to obtain the real-time amplitude change ratio; Substitute into the formula , calculate the countermeasure effect evaluation value XG, where PL represents the real-time frequency change ratio, ZF represents the real-time amplitude change ratio, and a1 and a2 are preset proportional coefficients; Step 2: Obtain the real-time confrontation effect evaluation value, process it, and calculate the confrontation effect degree value; During the monitoring period, obtain the real-time confrontation effect evaluation value during the acoustic wave confrontation process; comparing the real-time adversarial effect evaluation value with the adversarial effect evaluation threshold; If the real-time confrontation effect evaluation value is less than the confrontation effect evaluation threshold, an invalid confrontation signal is generated; Obtain the time period during which invalid confrontation signals are generated, and mark it as an invalid period; Obtain the invalid time period, sum up all the invalid time periods to obtain the total invalid time period, perform ratio processing on the total invalid time period and the monitoring time period to obtain the invalid time ratio; Obtain the minimum value of the real-time confrontation effect evaluation value corresponding to the invalid period, mark it as the invalid minimum value, calculate the difference between the invalid minimum value and the confrontation effect evaluation threshold, take the absolute value of the difference to obtain the invalid deviation value, sum the invalid deviation values of all invalid periods to obtain the total invalid deviation value, perform ratio processing on the total invalid deviation value and the confrontation effect evaluation threshold to obtain the invalid deviation ratio; Substitute into the formula , the countermeasure effect degree value CD is calculated, where SJ represents the invalid time ratio, PC represents the invalid deviation ratio, and s1 and s2 are preset proportional coefficients; Step 3: Compare the confrontation effect degree value with the confrontation effect degree threshold to generate a confrontation instability signal; Step 4: Based on the generated unstable signal, monitor the influencing characteristic values in the acoustic wave confrontation process in real time, process them, and calculate the abnormal correlation judgment value; Among them, the influencing characteristic value is the wind value; Obtain the time period for generating abnormal wind force signals, mark it as the abnormal wind force period, obtain the number of abnormal wind force period values, obtain the invalid time period and the number of invalid time period values; Extract the overlapping period of the abnormal wind period and the invalid period, mark it as the abnormal overlapping period, obtain the number of abnormal overlapping periods, perform ratio processing on the number of abnormal overlapping periods and the number of invalid periods, and obtain the proportion of abnormal overlapping periods; Extract the invalid time period corresponding to the abnormal coincidence time period, perform ratio processing on the time value of the abnormal coincidence time period and the time value of the corresponding invalid time period to obtain the abnormal coincidence time proportion, sum up the coincidence time proportions of all abnormal coincidence time periods to obtain the total value of the abnormal coincidence time proportion; The abnormal overlap period ratio is multiplied by the total value of the abnormal overlap time ratio to obtain the abnormal correlation judgment value; Step 5: Compare the abnormal correlation judgment value with the abnormal correlation judgment threshold to generate an abnormal synchronization signal; Step 6: Based on the abnormal synchronization signal, the countermeasure sound wave signal data is adjusted; The countermeasure sound wave signal data includes a transmission frequency value and a transmission amplitude value.
2. The intelligent sound wave countermeasure method according to claim 1, characterized in that: The process of generating the abnormal wind force signal is as follows: During the monitoring period, obtain real-time wind force values; The real-time wind speed value is compared with the wind speed threshold value. If the real-time wind speed value is greater than the wind speed threshold value, a wind speed abnormality signal is generated.
3. The intelligent sound wave countermeasure method according to claim 1, characterized in that: The process of adjusting the anti-sound wave signal data includes: When a wind anomaly signal is generated; Obtain a real-time wind force value, calculate the difference between the real-time wind force value and the wind force threshold, take the absolute value of the difference to obtain a wind force deviation value, calculate the ratio of the wind force deviation value to the real-time wind force value, and obtain a control ratio; Acquire the real-time transmission frequency value of the counteracting sound wave, multiply the real-time transmission frequency value of the counteracting sound wave by the control ratio to obtain a transmission frequency compensation value, and add the transmission frequency compensation value to the real-time transmission frequency value of the counteracting sound wave to obtain a transmission frequency target value; The real-time emission amplitude value of the counteracting sound wave is obtained, the real-time emission amplitude value of the counteracting sound wave is multiplied by the control ratio to obtain the emission amplitude compensation value, and the emission amplitude compensation value is added to the real-time emission amplitude value of the counteracting sound wave to obtain the emission amplitude rate target value.
4. An intelligent sound wave countermeasure system, characterized in that: The system is used to execute the method described in any one of claims 1 to 3, and the system comprises: Countermeasure effect evaluation value calculation module: collects the signal data of the target sound wave in real time, processes it, and calculates the countermeasure effect evaluation value; Countermeasure effect degree value calculation module: obtains the real-time countermeasure effect evaluation value, processes it, and calculates the countermeasure effect degree value; The confrontation stability judgment module compares the confrontation effect value with the confrontation effect threshold to generate a confrontation instability signal; Abnormal correlation judgment value calculation module: Based on the generated confrontation instability signal, the wind force value during the acoustic wave confrontation process is monitored in real time, processed, and the abnormal correlation judgment value is calculated; Synchronous correlation judgment module: compares the abnormal correlation judgment value with the abnormal correlation judgment threshold and generates an abnormal synchronization signal; Parameter adjustment module: adjusts the counteracoustic signal data based on the abnormal synchronization signal; The countermeasure sound wave signal data includes a transmission frequency value and a transmission amplitude value.
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