Intelligent high-strength sound wave agglomeration sound source system

Abstract

The present application relates to dust removal technical field, especially intelligent high-strength sound wave agglomeration sound source system, including: intelligent control unit, for calculating the sound wave frequency and amplitude required for agglomeration according to particle size signal sounding unit;Signal sounding unit, including the single-chip microcomputer of generating corresponding sound wave signal;Power amplifier and matching unit, including the power amplifier of power amplification to sound wave signal;Sound source sounding unit, for producing the high-strength sound wave required for agglomeration, the sound source sounding unit includes at least one frequency-adjustable broadband sound wave sounder and at least two fixed-frequency sound wave sounders located on both sides of the broadband sound wave sounder.The present application monitors particle size and environmental parameters in real time through intelligent control unit, accurately calculates the best sound wave frequency according to the preset algorithm, ensures the best matching of sound wave frequency and agglomeration efficiency, thereby improves the agglomeration effect, adopts high-strength sound wave technology, effectively enhances the sound wave agglomeration effect, reduces the difficulty of particle processing.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of dust removal, in particular to an intelligent high-strength sound wave agglomeration sound source system. BACKGROUND

[0002] In the production process of many industries such as electric power, metallurgy and chemical industry, dust particles are generated, which brings many problems in environment, resources and equipment. Environmentally, dust emission pollutes the air, endangers health and affects ecology; in terms of resources, dust containing recyclable materials is wasted if not effectively treated; and in terms of equipment, dust deposition affects heat dissipation, accelerates aging and increases maintenance costs. Current dust treatment methods have limitations, chemical agent settling method causes secondary pollution and has high cost, and physical filtration method has limited removal efficiency for small particles. Sound wave agglomeration technology is concerned because it can agglomerate small particles for subsequent processing, but existing sound wave agglomeration sound source systems still have some deficiencies, such as inaccurate frequency adjustment, difficulty in achieving optimal agglomeration frequency, poor adaptability and insufficient intelligence. SUMMARY

[0003] The purpose of the present application is to overcome the above problems or at least partially solve the above problems, and an intelligent high-strength sound wave agglomeration sound source system is proposed. Sound wave agglomeration is a process of promoting small particles to collide with each other and grow by using high-intensity sound waves. When sound waves propagate in a dust particle group, airflow around the particles will move, causing relative motion between different particles and increasing their probability of collision. The system is based on accurate acoustic principles and can effectively control the dust particle agglomeration process by generating high-intensity sound waves and accurately adjusting the frequency, amplitude and phase of the sound waves. The sound source in the system can produce sound wave signals of a specific frequency band, which will form an acoustic pressure field in the propagation medium. According to the physical and chemical properties of different dust particles, the dust particles will agglomerate under the action of the pressure field after adjusting the sound wave parameters.

[0004] To achieve the above purpose, the present application provides the following technical scheme: an intelligent high-strength sound wave agglomeration sound source system, comprising:

[0005] An intelligent control unit is used to calculate the sound wave frequency and amplitude required for agglomeration according to the particle size and give a signal to the sound emitting unit. The particle size value is calculated by single frequency source adjustment or narrow frequency bandwidth source adjustment. The particle size value is calculated by the average value of the total number of detection data, and single frequency source adjustment is adopted. The particle size value is calculated by the detection data range value, and narrow frequency bandwidth source adjustment is adopted.

[0006] A signal emitting unit includes a single-chip microcomputer for generating corresponding sound wave signals.

[0007] The power amplifier and matching unit comprises a power amplifier for power amplifying a sound wave signal of a signal sounding unit.

[0008] The sound source sounding unit is used for generating a high-intensity sound wave required to be gathered, and the sound wave signal is divided into at least three paths after being power amplified by the power amplifier and connected to the sound source sounding unit. The sound source sounding unit comprises at least one wide-band sound wave sounding device capable of frequency modulation and at least two fixed-frequency sound wave sounding devices located on both sides of the wide-band sound wave sounding device. The fixed-frequency sound wave sounding device and the wide-band sound wave sounding device are combined to receive the sound wave signal of the corresponding line and output the sound wave, so as to gather and superimpose the generated sound wave to enhance the sound wave intensity.

[0009] In a preferred embodiment, the intelligent control unit comprises an environment and particle size collection and analysis module, a gathering signal optimization calculation module and a gathering signal control output module.

[0010] The environment and particle size collection and analysis module is used for monitoring environmental parameters in real time and transmitting data to the gathering signal optimization calculation module. The gathering signal optimization calculation module fuses and analyzes the data according to a preset algorithm, and accurately determines and adjusts the parameters of the signal sounding unit in combination with a pre-defined dust particle gathering optimal parameter model. The parameters of the signal sounding unit include sound wave frequency and amplitude. The gathering signal control output module controls the instruction signal according to the instruction of the gathering signal optimization calculation module.

[0011] In a preferred embodiment, the optimal frequency calculated according to the environmental parameters is calculated as follows:

[0012]

[0013] Wherein, f op is the optimal frequency, unit: Hz; p is the particle density, unit: kg / m 3 ; υ is the shear viscosity coefficient of the gas, unit: N·s / m 2 ; d is the average particle size, unit: m.

[0014] In a preferred embodiment, the sound source sounding unit further comprises a multi-frequency coupling acoustic number tube. The multi-frequency coupling acoustic number tube comprises an f0 interface located in the middle and f1 and f2 interfaces located on both sides thereof. The outlet interface of the wide-band sound wave sounding device is connected to the f0 interface through a bolt, and the outlet interfaces of the fixed-frequency sound wave sounding devices are respectively connected to the f1 and f2 interfaces through bolts.

[0015] In a preferred embodiment, the multi-frequency coupled acoustic horn comprises a horn A section, a middle profiled horn and two side profiled horns, the horn A section is a square-to-round nozzle, which is respectively connected with the flanges of the wide-frequency acoustic wave sounder and the fixed-frequency acoustic wave sounder, the interfaces between the horn A section and the wide-frequency acoustic wave sounder and the fixed-frequency acoustic wave sounder are the f0, f1 and f2 interfaces respectively, and one end of the middle profiled horn and the two side profiled horns are gathered together, and the other end is connected with the flange of the horn A section.

[0016] In a preferred embodiment, the wide-frequency acoustic wave sounder and the fixed-frequency acoustic wave sounder are respectively an electromagnetic modulation acoustic wave sounder capable of frequency modulation and a whistle sounder with fixed frequency.

[0017] In a preferred embodiment, a phase adjuster is further arranged between the power amplification and matching unit and the sound source sounder, the power amplifier of the power amplification and matching unit is directly connected with the wide-frequency acoustic wave sounder through a line, and the phase adjuster is arranged between the power amplifier and the fixed-frequency acoustic wave sounder and connected with them through lines in sequence.

[0018] In a preferred embodiment, the system further comprises a real-time feedback loop, which is used to feed back the actual effect of the sound wave agglomeration in the agglomeration space to the intelligent control unit, so as to make further correction for the next regulation and control, and ensure that the agglomeration effect is continuously in the best state.

[0019] A regulation and control method of an intelligent high-strength sound wave agglomeration sound source system, which is applied to the intelligent high-strength sound wave agglomeration sound source system as described in any one of the above embodiments, and comprises a single-frequency sound source adjustment method and a narrow-frequency-band sound source adjustment method.

[0020] The single-frequency sound source adjustment method comprises the following steps:

[0021] S1, detecting data one by using a particle size detection sensor (i.e. an environment and particle size collection and analysis module) to obtain a particle size initial value u0;

[0022] S2, transmitting the data one signal to a signal processor (i.e. an agglomeration signal optimization calculation module), in order to produce the optimal agglomeration effect, the signal processor analyzes the data according to a predetermined algorithm, so that the wide-frequency acoustic wave sounder capable of frequency modulation emits a sound source with an initial frequency f0, and the fixed-frequency acoustic wave sounders on the two sides emit sound waves with frequencies f1 and f2 respectively, to produce the first sound wave agglomeration in the dust environment.

[0023] S3, detecting data two by using the particle size detection sensor again to obtain a particle size initial value u1;

[0024] S4, the data is transmitted to the signal processor, in order to produce the optimal agglomeration effect, the signal processor analyzes the data according to the predetermined algorithm, so that the wide frequency sound wave generator capable of frequency modulation emits a sound source with an initial frequency f0, and the fixed frequency sound wave generators on the symmetrical two sides emit sound waves with frequencies f 10 and f 20 respectively, to produce the first sound wave agglomeration in the dust environment;

[0025] S5, the intelligent control unit operates in steps S1 to S4 in a loop until the qualified particle size value u m is detected, and the operation is stopped;

[0026] The narrow frequency band sound source adjustment method comprises the following steps:

[0027] S11, detecting data one by using the particle size detection sensor to obtain the initial particle size value u0-u1;

[0028] S12, the data one is transmitted to the signal processor, in order to produce the optimal agglomeration effect, the signal processor analyzes the data according to the predetermined algorithm, so that the wide frequency sound wave generator capable of frequency modulation emits a sound source with an initial frequency f0, and the fixed frequency sound wave generators on the symmetrical two sides emit sound waves with frequencies f 11 and f 21 respectively, to produce the first sound wave agglomeration in the dust environment;

[0029] S13, detecting data two again by using the particle size detection sensor to obtain the initial particle size value u1-u2;

[0030] S14, the data two is transmitted to the signal processor, in order to produce the optimal agglomeration effect, the signal processor analyzes the data according to the predetermined algorithm, so that the wide frequency sound wave generator capable of frequency modulation emits a sound source with an initial frequency f0, and the fixed frequency sound wave generators on the symmetrical two sides emit sound waves with frequencies f 12 and f 22 respectively, to produce the second sound wave agglomeration in the dust environment;

[0031] S15, the intelligent control unit operates in steps S11 to S14 in a loop until the qualified particle size value u m-1 -u m is detected, and the operation is stopped.

[0032] In a preferred embodiment, in the single frequency sound source adjustment method, the determination of the qualified particle size value u m is based on the maximum allowable particle size value set by the target application scene after dust treatment, and in the narrow frequency band sound source adjustment method, the determination of the qualified particle size value u m-1 -u m is based on the particle size range set by the target application scene after dust treatment.

[0033] Compared with the prior art, the present application has the following beneficial effects:

[0034] 1、The present application monitors the particle size of particulate matter and environmental parameters in real time through the intelligent control unit, accurately calculates the optimal sound wave frequency according to the preset algorithm, ensures the optimal matching of the sound wave frequency and the agglomeration efficiency, and thus improves the agglomeration effect;

[0035] 2、The present application adopts high-strength sound wave technology, the sound source sounding unit includes at least one wideband sound wave sounder and two fixed-frequency sound wave sounders, through the design of the multi-frequency coupled acoustic number tube, the sound waves are accurately superimposed at the outlet, the sound wave agglomeration effect is effectively enhanced, and the difficulty of particulate matter treatment is reduced;

[0036] 3、The present application has a real-time feedback loop, which can feed back the actual effect of sound wave agglomeration to the intelligent control unit for real-time correction, so as to ensure that the agglomeration effect is continuously in the best state;

[0037] 4、The present application provides two methods of single-frequency sound source adjustment and narrow-band sound source adjustment, which can be flexibly selected according to different values of the particle size of particulate matter, and is suitable for different application scenarios and needs;

[0038] 5、The present application has compact structure, simple operation and low energy consumption, and is suitable for various particulate matter treatment scenes. BRIEF DESCRIPTION OF DRAWINGS

[0039] Figure 1 is a module diagram of the present application;

[0040] Figure 2 is a perspective structure schematic diagram of the multi-frequency coupled acoustic number tube in the present application;

[0041] Figure 3 is a front view cross-sectional structure schematic diagram of the multi-frequency coupled acoustic number tube in the present application;

[0042] Figure 4 is a structure distribution diagram in the embodiment of the present application. DETAILED DESCRIPTION

[0043] The technical solutions in the embodiments of the present application will be described in detail below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0044] Please refer to Figures 1-4 , the present application provides a technical solution: an intelligent high-strength sound wave agglomeration sound source system, comprising:

[0045] The intelligent control unit is used for signaling the sound emitting unit according to the particle size of particulate matter and the frequency and amplitude of the sound wave required for agglomeration. The particle size of particulate matter is adjusted in a single frequency sound source adjustment mode and a narrow frequency bandwidth sound source adjustment mode. The particle size value is calculated according to the average value of the total number of detection data. The single frequency sound source adjustment mode is adopted. The particle size value is calculated according to the detection data range value. The particle size range is the part with a heavy proportion. The narrow frequency bandwidth sound source adjustment mode is adopted.

[0046] The signal emitting unit comprises a single-chip microcomputer for generating a corresponding sound wave signal.

[0047] The power amplification and matching unit comprises a power amplifier for power amplifying the sound wave signal of the signal emitting unit. The power amplifier uses a switching power amplifier chip, so that the unit can amplify the initial sound wave signal emitted by the signal emitting unit by several times while maintaining a low power loss.

[0048] The sound source emitting unit is used for generating a high-intensity sound wave required for agglomeration. After the power amplifier power amplifies the sound wave signal, the sound wave signal is at least divided into three paths and connected to the sound source emitting unit. The sound source emitting unit comprises at least one wideband sound emitter capable of frequency modulation and at least two fixed-frequency sound emitters located on both sides of the wideband sound emitter. The fixed-frequency sound emitter and the wideband sound emitter work in combination to receive the sound wave signal from the corresponding line and output the sound wave. The generated sound wave is agglomerated and superimposed to enhance the sound wave intensity.

[0049] In specific implementation, the intelligent control unit comprises an environment and particle size collection and analysis module, an agglomeration signal optimization calculation module, and an agglomeration signal control output module.

[0050] The environment and particle size collection and analysis module is used for real-time monitoring of environmental parameters such as the particle size value of particulate matter and temperature, and transmitting the data to the agglomeration signal optimization calculation module. The agglomeration signal optimization calculation module fuses and analyzes the data according to a preset algorithm, and accurately determines and adjusts the sound wave frequency, amplitude, and other parameters of the signal emitting unit in combination with a predefined optimal parameter model of dust particle agglomeration. The parameters include sound wave frequency and amplitude. The agglomeration signal control output module controls the issuance of instruction signals according to the instructions of the agglomeration signal optimization calculation module.

[0051] In specific implementation, the sound wave frequency affects the overall dust removal effect by changing the agglomeration efficiency. The frequency and the agglomeration efficiency roughly present a parabolic relationship, that is, there is an optimal sound wave frequency that makes the agglomeration efficiency reach a maximum value. When deviating from this optimal sound wave frequency, the agglomeration efficiency will be greatly reduced. The optimal sound wave frequency is strongly correlated with the average particle size of particulate matter. The optimal frequency determined by the agglomeration signal optimization calculation module according to the environmental parameters is calculated as follows:

[0052]

[0053] wherein f op is the optimal frequency, unit: Hz; p p is the particle density, unit: kg / m 3 ; υ is the shear viscosity coefficient of the gas, unit: N·s / m 2 ; d is the average particle size of the particles, unit: m.

[0054] In specific implementation, the sound source sounding unit further comprises a multi-frequency coupling acoustic barrel, which comprises an f0 interface in the middle and f1 and f2 interfaces on both sides. The outlet interface of the broadband sound wave generator is connected to the f0 interface by bolts, and the outlet interfaces of the fixed-frequency sound wave generators are connected to the f1 and f2 interfaces by bolts, respectively.

[0055] In this way, the total number of sound wave generators is not less than three, which ensures a sound pressure level of more than 155 dB. When the sound wave generators work simultaneously, the sound waves generated by them will be superimposed at the outlet of the multi-frequency coupling acoustic barrel. If the frequency, phase and amplitude of these sound wave generators are accurately controlled, their sound waves will be enhanced, thereby generating greater sound output. Under the action of the multi-frequency coupling acoustic barrel, the sound beam can be enhanced.

[0056] In specific implementation, the multi-frequency coupling acoustic barrel comprises a barrel A section, a middle profiled horn and two profiled horns on both sides. The barrel A section is a square-to-round pipe opening, which is connected to the corresponding broadband sound wave generator and fixed-frequency sound wave generator flanges. The interfaces between the barrel A section and the broadband sound wave generator and fixed-frequency sound wave generator are the corresponding f0, f1 and f2 interfaces. One end of the middle profiled horn and the two profiled horns on both sides converges, and the other end is connected to the barrel A section flange.

[0057] In specific implementation, the broadband sound wave generator and the fixed-frequency sound wave generator respectively adopt an electromagnetic modulation sound wave generator capable of frequency adjustment and a whistle sound generator with fixed frequency.

[0058] In this way, the electromagnetic modulation sound wave generator can realize the adjustment ability from low frequency to high frequency, and the two fixed-frequency whistle sound generators on both sides can ensure stable high-frequency sound wave output. During device operation, only the fixed-frequency sound wave generator needs to be started initially. When the particle size of single particles changes, the electromagnetic modulation sound wave generator is turned on, and the sound wave agglomeration sound source is 5000 Hz. It can realize the frequency adjustment ability in a wide range of 100 Hz to 10 KHz, and can maintain a stable sound pressure level of 160 dB output in the entire frequency adjustment range.

[0059] In specific implementation, a phase adjuster is further arranged between the power amplification and matching unit and the sound source sounding unit, the power amplifier of the power amplification and matching unit is directly connected with the wide-band sound wave sounder through a line, and the phase adjuster is arranged between the power amplifier and the fixed-frequency sound wave sounder and connected with them through a line in sequence.

[0060] In this way, under the action of the phase adjuster, the phase of the signal of each fixed-frequency sound wave sounder is adjusted, so that the sound emitted by each fixed-frequency sound wave sounder reaches the gathering position at the same time, and the effect of sound wave gathering is optimized.

[0061] In specific implementation, the system further comprises a real-time feedback loop, which is used to feed back the actual effect of sound wave gathering in the gathering space to the intelligent control unit, so as to make further correction for the next regulation and control, and ensure that the gathering effect is continuously in the best state.

[0062] A regulation and control method of an intelligent high-intensity sound wave gathering sound source system, which is applied to the intelligent high-intensity sound wave gathering sound source system in any one of the above aspects, and comprises a single-frequency sound source adjustment method and a narrow-band sound source adjustment method.

[0063] The single-frequency sound source adjustment method comprises the following steps.

[0064] S1, detecting data one by using a particle size detection sensor (i.e., an environment and particle size collection and analysis module) to obtain a particle size initial value u0;

[0065] S2, transmitting the data one signal to a signal processor (i.e., a gathering signal optimization calculation module), in order to produce an optimal gathering effect, the signal processor analyzes the data according to a predetermined algorithm, so that the wide-band sound wave sounder capable of adjusting frequency emits a sound source with an initial frequency f0, and the fixed-frequency sound wave sounders on the symmetric two sides emit sounds with frequencies f1 and f2 respectively, to produce the first sound wave gathering in the dust environment.

[0066] S3, detecting data two by using the particle size detection sensor again to obtain a particle size initial value u1;

[0067] S4, transmitting the data two signal to the signal processor, in order to produce an optimal gathering effect, the signal processor analyzes the data according to a predetermined algorithm, so that the wide-band sound wave sounder capable of adjusting frequency emits a sound source with an initial frequency f0, and the fixed-frequency sound wave sounders on the symmetric two sides emit sounds with frequencies f 10 and f 20 , to produce the second sound wave gathering in the dust environment.

[0068] S5, the intelligent control unit performs a cycle operation of steps S1 to S4 until a qualified particle size value u m is detected, and the operation is stopped.

[0069] Narrow-band sound source modulation methods include the following steps:

[0070] S11. Use the particle size detection sensor to detect data 1 to obtain the initial particle size values ​​u0~u1;

[0071] S12. Data signal is transmitted to the signal processor. To produce the optimal aggregation effect, the signal processor analyzes the data according to a predetermined algorithm, causing the frequency-tunable broadband sound wave generator to emit a sound source with an initial frequency of f0, while simultaneously causing the fixed-frequency sound wave generators on both sides to emit sound at f0 respectively. 11 and f 21 The frequency of sound emission generates the first sound wave aggregation in the dusty environment;

[0072] S13. Use the particle size detection sensor to detect data 2 again to obtain the initial particle size values ​​u1 to u2;

[0073] S14. Data signal two is transmitted to the signal processor. To produce the optimal aggregation effect, the signal processor analyzes the data according to a predetermined algorithm, causing the frequency-tunable broadband sound wave generator to emit a sound source with an initial frequency of f0, while simultaneously causing the fixed-frequency sound wave generators on both sides to emit sound at f0 respectively. 12 and f 22 The frequency of sound emission generates a second sound wave aggregation in the dusty environment;

[0074] S15. The intelligent control unit operates in a loop from steps S11 to S14 until a qualified particle size value u is detected. m-1 ~u m Stop operation.

[0075] In practical implementation, in the single-frequency sound source adjustment method, the acceptable particle size value u m The determination is based on the maximum allowable particle size value set for the target application scenario after dust treatment. In the narrow-band sound source adjustment method, the qualified particle size value u m-1 ~u m The determination is based on the particle size range set for the target application scenario after dust treatment.

[0076] Example Description

[0077] Reference Figure 4 As shown, the boiler tail flue acoustic energy-saving and ash-reduction retrofit, the intelligent high-intensity acoustic agglomeration sound source system mainly consists of: flue area 100, electromagnetic modulation high-intensity acoustic device 200, signal processing and intelligent controller unit 300, and particle size analyzer 400. Four electromagnetic modulation high-intensity acoustic devices are installed in the horizontal flue, symmetrically arranged on both sides of the boiler, with two devices on each side wall. Each electromagnetic modulation high-intensity acoustic device is as described in the invention description above. The particle size analyzer is installed in the middle of the electromagnetic modulation high-intensity acoustic device, and the signal processing and intelligent controller unit controls the four electromagnetic modulation high-intensity acoustic devices.

[0078] The specific regulation scheme adopts narrow-band sound source regulation (the regulation frequency is narrow-band below), and the electromagnetic modulation high-intensity sound wave device emits fixed frequencies f 11 and f 21 on both sides, and the sound pressure is 155 dB and 155 dB, to ensure that the output sound pressure is greater than 160 dB:

[0079] The regulation steps are as follows:

[0080] 1. First, the particle size detection sensor detects data one, i.e., the particle size is 20 μm to 50 μm;

[0081] 2. The data one signal is transmitted to the signal processor, to generate the optimal agglomeration effect, the data is analyzed according to the predetermined algorithm, the wide-band sound wave sound generator emits a sound source with an initial frequency f 01 , the fixed frequency sound wave sound generators on the symmetrical two sides are f 11 and f 21 , and the dust environment generates the first sound wave agglomeration;

[0082] 3. Second, the particle size detection sensor detects data two, i.e., the particle size is 10 μm to 20 μm;

[0083] 4. The data two signal is transmitted to the signal processor, the data is analyzed according to the predetermined algorithm, and the wide-band sound wave sound generator emits a sound source with a frequency f 02 ;

[0084] 5. Third, the particle size detection sensor detects data three, i.e., the particle size is 5 μm to 10 μm;

[0085] 6. The data three signal is transmitted to the signal processor, the data is analyzed according to the predetermined algorithm, and the wide-band sound wave sound generator emits a sound source with a frequency f 03 ;

[0086] 7. The intelligent control unit regulation step is operated in a loop as described above until the qualified particle size value 5 μm is detected, and the operation is stopped.

[0087] When the flue gas flows to the sound wave agglomeration position, the particle size detector starts to detect, the particle size analyzer monitors the size distribution of particulate matter in real time, and transmits these information to the controller, the controller receives the particle size information and processes according to the preset algorithm or rule. The controller can adjust the output parameters of the sound wave sound generator according to the change of the particle size, mainly the sound wave frequency. The controller sends instructions to the sound wave sound generator to control it to emit sound waves with different frequencies. These sound waves can be optimized for different particle sizes to achieve the best soot blowing effect. The controller continuously monitors the soot blowing effect and adjusts the output parameters of the sound wave sound generator as needed to maintain the best soot blowing efficiency.

[0088] While embodiments of the application have been shown and described, it is to be understood that the embodiments described are merely exemplary of the principles and application of the present application. Numerous modifications and adaptions can be effected without departing from the spirit and scope of the present application, which is not limited to the exact construction and arrangement described. It is intended, therefore, to cover all modifications and adaptions that fall within the scope of the claims and their equivalents.

Claims

1. A method for regulating an intelligent high-intensity sound wave cluster sound source system, characterized in that: The method comprises a single-frequency sound source adjustment method and a narrow frequency band sound source adjustment method. The single-frequency sound source adjustment method comprises the following steps: S1, detecting data one by using a particle size detection sensor, i.e., an environment and particle size collection and analysis module, to obtain a particle size initial value u0; S2, the data signal is transmitted to the signal processor, that is, the agglomeration signal optimization calculation module. In order to produce the optimal agglomeration effect, the signal processor analyzes the data according to the predetermined algorithm, so that the wideband sound generator capable of frequency modulation emits a sound source with an initial frequency of , and at the same time, the fixed-frequency sound generators on the symmetrical two sides emit sound with frequencies of and , respectively, to produce the first sound wave agglomeration in the dust environment; S3, detecting data two again by using the particle size detection sensor to obtain a particle size initial value u1; S4, the data is transmitted to the signal processor, in order to produce the optimal agglomeration effect, the signal processor analyzes the data according to the predetermined algorithm, so that the wideband sound generator capable of frequency modulation emits a sound source with an initial frequency of , while the fixed-frequency sound generators on the symmetrical two sides emit sounds with frequencies of and , respectively, to produce the second sound wave agglomeration in the dust environment; S5, the intelligent control unit operates in a loop of steps S1 to S4 until a qualified particle size value u is detected m , the operation is stopped; The narrow frequency band sound source adjustment method comprises the following steps: S11, detecting data one by using a particle size detection sensor to obtain a particle size initial value u0-u1; S12, the data signal is transmitted to the signal processor, in order to produce the optimal agglomeration effect, the signal processor analyzes the data according to the predetermined algorithm, so that the wideband sound wave generator capable of frequency modulation emits a sound source with an initial frequency of , while the fixed-frequency sound wave generators on the symmetrical two sides emit sound with frequencies of and , respectively, to produce the first sound wave agglomeration in the dust environment; S13, detecting data two again by using the particle size detection sensor to obtain a particle size initial value u1-u2; S14, the data signal is transmitted to the signal processor, in order to produce the optimal agglomeration effect, the signal processor analyzes the data according to the predetermined algorithm, so that the wideband sound generator capable of frequency modulation emits a sound source with an initial frequency of , while the fixed-frequency sound generators on the symmetrical two sides emit sound with frequencies of and , respectively, to produce the second sound wave agglomeration in the dust environment; S15, the intelligent control unit operates in a loop of steps S11 to S14 until a qualified particle size value u is detected m-1 ~ u m , stop operation; The control method is applied to an intelligent high-intensity sound wave agglomeration sound source system, and the system comprises: An intelligent control unit for calculating the sound wave frequency and amplitude required for agglomeration according to the particle size of particulate matter and sending a signal to a sound emitting unit, wherein the particle size of particulate matter is calculated in a single-frequency sound source adjustment mode or a narrow frequency band sound source adjustment mode, the particle size value is calculated according to the average value of the total number of detection data, and the single-frequency sound source adjustment mode is adopted; the particle size value is calculated according to the detection data range value, the particle size range is the part with a relatively high proportion, and the narrow frequency band sound source adjustment mode is adopted; A signal emitting unit comprising a single-chip microcomputer for generating corresponding sound wave signals; A power amplification and matching unit comprising a power amplifier for amplifying the sound wave signals of the signal emitting unit; A sound source emitting unit for generating high-intensity sound waves required for agglomeration, wherein the sound wave signals are amplified by the power amplifier, and the sound wave signals are at least divided into three paths and connected to the sound source emitting unit, the sound source emitting unit comprises at least one wide-frequency sound wave emitter capable of adjusting frequency and at least two fixed-frequency sound wave emitters located on both sides of the wide-frequency sound wave emitter, the fixed-frequency sound wave emitters and the wide-frequency sound wave emitter are combined to receive the sound wave signals of the corresponding lines and output sound waves, and the generated sound waves are agglomerated and superimposed to enhance the sound wave intensity; The intelligent control unit comprises an environment and particle size collection and analysis module, an agglomeration signal optimization calculation module, and an agglomeration signal control output module; The environment and particle size collection and analysis module is used for real-time monitoring of environmental parameters and transmitting data to the agglomeration signal optimization calculation module, the agglomeration signal optimization calculation module is used for fusing and analyzing the data according to a preset algorithm and accurately determining and adjusting the parameters of the signal emitting unit in combination with a pre-defined dust particle agglomeration optimal parameter model, the parameters of the signal emitting unit include sound wave frequency and amplitude, and the agglomeration signal control output module controls the issuance of instruction signals according to the instructions of the agglomeration signal optimization calculation module; The sound source sounding unit further comprises a multi-frequency coupling acoustic number tube, which comprises a middle interface and interfaces on both sides of and interface, the outlet interface of the wide-frequency sound wave sounding device is connected with interface through a bolt, the outlet interfaces of the fixed-frequency sound wave sounding devices are respectively connected with interface and interface through a bolt.

2. The method of claim 1, wherein the method comprises: The optimal frequency calculated according to the environmental parameters is calculated by the following formula: ； wherein, is the optimum frequency, in Hz; is the particle density, in kg / m3; ; is the shear viscosity of the gas, in N s / m2; ; is the average particle size, in m.

3. The method of claim 2, wherein the method further comprises: determining a frequency of the high intensity sound waves; and adjusting the frequency of the high intensity sound waves to a frequency that is within a predetermined range of the frequency of the high intensity sound waves. The multi-frequency coupling acoustic number tube comprises a number tube A section, a middle special-shaped horn and two side special-shaped horns, the number tube A section is a square-to-round pipe opening, is respectively connected with corresponding wide-frequency sound wave sounder and fixed-frequency sound wave sounder flanges, the interface between the number tube A section and the wide-frequency sound wave sounder and the fixed-frequency sound wave sounder is corresponding 、 and interface, one end of the middle special-shaped horn and the two side special-shaped horns is gathered to each other, and the other end is connected with the number tube A section flange.

4. The method of claim 3, wherein the method further comprises: determining a frequency of the high intensity sound waves; and adjusting the frequency of the high intensity sound waves to a predetermined frequency. The wide-frequency sound wave emitter and the fixed-frequency sound wave emitter respectively adopt an electromagnetic modulation sound wave emitter capable of adjusting frequency and a whistle sound emitter with fixed frequency.

5. The method of claim 1-4, wherein the method is characterized by: A phase adjuster is further arranged between the power amplification and matching unit and the sound source emitting unit, the power amplifier of the power amplification and matching unit is directly connected to the wide-frequency sound wave emitter through a line, and the phase adjuster is arranged between the power amplifier and the fixed-frequency sound wave emitter and connected in sequence through lines.

6. The method of claim 5, wherein the method further comprises: determining a frequency of the high intensity sound waves; and adjusting the frequency of the high intensity sound waves to a predetermined frequency. The system further comprises a real-time feedback loop for feeding back the actual effect of the sound wave agglomeration in the agglomeration space to the intelligent control unit, so as to make further correction for the next regulation, and ensure that the agglomeration effect is continuously in the best state.

7. The method of claim 1, wherein the method further comprises: determining a frequency of the high intensity sound waves; and adjusting the frequency of the high intensity sound waves. In the single-frequency sound source adjustment method, the qualified particle size value u m is determined based on a maximum allowable particle size value set for a target application scenario after dust treatment, and in the narrow-frequency-band sound source adjustment method, the qualified particle size value u m-1 ~ u m is determined based on a particle size range set for a target application scenario after dust treatment.

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