Aerator status detection system and method

Abstract

The present invention provides an aerator status detection system and method, belonging to the field of electronic information engineering. The method comprises: obtaining an analog audio signal, a first electrical signal, and a second electrical signal; extracting a field audio feature through the analog audio signal, determining the synthetic acceleration of the float and the frequency of water wave pressure changes through the first electrical signal, and determining the oil content in the water through the second electrical signal; and determining that the aerator is faulty when the field audio feature or the synthetic acceleration and the frequency of water wave pressure changes are within a corresponding preset fault signal range, or when the oil content in the water is greater than or equal to a preset concentration. The operating status of the aerator is effectively identified and evaluated by using three different data types: acceleration, sound, and oil concentration. The detection information is rich, and multiple fault judgment criteria are provided. The fault detection accuracy is high. Once the aerator fails, it can be discovered in a timely manner and precise solutions can be implemented, effectively avoiding possible economic losses.

Description

Technical Field

[0001] The present invention belongs to the field of electronic information engineering, and in particular relates to an aerator state detection system and method. Background Art

[0002] Aerators are commonly used in pond aquaculture. Their primary function is to increase the oxygen content in the water to prevent fish from suffering from oxygen deprivation. They also inhibit the growth of anaerobic bacteria in the water, preventing water deterioration and threatening the fish's living environment. However, long-term use can lead to a range of problems, including oil leaks, water disc shaft vibration, mechanical wear, and abnormal noise. If an aerator malfunction is not promptly repaired, it can lead to insufficient dissolved oxygen in the water, causing fish mortality and deteriorating water quality. Furthermore, unstable aeration fails to effectively stir underwater waste, impairing microbial activity, weakening fish immunity, and increasing the risk of disease. In short, delayed troubleshooting can severely impact pond health and aquaculture profitability.

[0003] Traditional methods for detecting the working status of aerators mainly rely on video image processing to determine their operating conditions. Generally, they can only determine the "on" and "off" states of the aerator. The judgment criteria are too simple. If the aerator has a fault that cannot be identified through video images, such as internal component damage, the abnormal state of the aerator cannot be detected in time, which may result in economic losses. Summary of the Invention

[0004] In order to solve the above-mentioned problem that the criterion for judging an aerator failure is too single, the present invention provides an aerator status detection system and method.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] In a first aspect, an aerator status detection system is provided, the system comprising:

[0007] a signal acquisition module, configured to acquire an analog audio signal generated when the aerator is operating and an acceleration of a float near an operating area of ​​the aerator, and convert the acceleration into a first electrical signal;

[0008] An oil stain detection module, configured to obtain a fluorescent signal generated by the oil stain under ultraviolet light irradiation and convert the fluorescent signal into a second electrical signal;

[0009] A signal processing module, configured to convert the analog audio signal, the first electrical signal, and the second electrical signal into corresponding digital signals; and extract field audio characteristics, water wave pressure variation characteristics, and oil concentration in the water from the corresponding digital signals;

[0010] The processor is configured to determine that the aerator is faulty when the field audio characteristics and the water wave pressure change frequency are within a corresponding preset fault signal range, or when the oil pollution concentration in the water is greater than or equal to a preset concentration.

[0011] Optionally, the processor is further configured to determine that the aerator is in a shutdown state when the field audio feature is less than a preset audio frequency or the water wave pressure change frequency is less than a preset change frequency.

[0012] Optionally, the signal acquisition module includes a microphone and a three-axis acceleration sensor, wherein the microphone is used to acquire the analog audio signal generated when the aerator is working; the three-axis acceleration sensor is used to acquire the acceleration of the float near the working area of ​​the aerator;

[0013] The oil pollution detection module includes an ultraviolet lamp and a photodiode.

[0014] Optionally, the signal processing module includes a filtering and amplifying circuit, an audio codec chip, and a digital-to-analog converter;

[0015] The filtering and amplifying circuit is used to filter and enhance the analog audio signal, the first electrical signal and the second electrical signal;

[0016] The audio codec chip is used to convert the filtered and enhanced analog audio signal into a first digital signal;

[0017] The digital-to-analog converter is used to convert the filtered and enhanced first electrical signal and the second electrical signal into a second digital signal and a third digital signal respectively.

[0018] Optionally, the system further comprises:

[0019] A transparent shell is provided with a circuit board inside, the pickup is provided on the inner wall of the shell, the three-axis acceleration sensor, ultraviolet lamp and photodiode are provided at the bottom of the circuit board, and the circuit board is provided with a battery compartment; the battery compartment is used to supply power to the system; an antenna is provided at the bottom of the shell for transmitting the status signal of the aerator;

[0020] A fixing bracket is arranged on the top of the circuit board;

[0021] The solar panel is arranged on the top of the fixing bracket and is used to provide electrical energy to the battery compartment.

[0022] In a second aspect, a method for detecting an aerator state is provided, wherein the method comprises:

[0023] Acquire the analog audio signal generated by the aerator when it is working, the acceleration of the float near the aerator working area, and the fluorescence signal generated by the oil under ultraviolet light;

[0024] Determining the field audio characteristics, water wave pressure change characteristics, and oil pollution concentration in the water near the aerator based on the simulated audio signal, acceleration, and fluorescence signal;

[0025] When the field audio characteristics and the water wave pressure change frequency are within the corresponding preset fault signal range, or the oil pollution concentration in the water is greater than or equal to the preset concentration, it is determined that the aerator is faulty.

[0026] Optionally, the method further includes:

[0027] When the field audio characteristic is less than a preset audio frequency or the water wave pressure change frequency is less than a preset change frequency, it is determined that the aerator is in a shutdown state.

[0028] The aerator status detection method provided by the present invention has the following beneficial effects:

[0029] First, the signal acquisition module is used to obtain the analog audio signal of the aerator when it is working, the acceleration of the nearby float, and the nearby oil concentration. Then, the status of the aerator is judged from multiple angles through three different data: analog audio signal, acceleration, and oil concentration. This can prevent errors that may be caused by a single data detection result and improve the accuracy of aerator status identification. In this way, through multiple sets of detection information and providing multiple fault judgment criteria, the working status of the aerator can be effectively identified and evaluated. The fault detection accuracy is high. Once the aerator fails, it can be discovered in time and accurate solutions can be made, effectively avoiding possible economic losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] To more clearly illustrate the embodiments of the present invention and its design, the following briefly introduces the drawings required for this embodiment. The drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be derived from these drawings without inventive effort.

[0031] Figure 1 The present invention provides a block diagram of an aerator status detection system according to an exemplary embodiment.

[0032] Figure 2 The present invention provides a flowchart of an aerator status detection method according to an exemplary embodiment.

[0033] Explanation of the accompanying drawings: 1-upper shell; 2-lower shell; 3-cable fixing hole; 4-circuit board; 5-switch; 6-three-axis acceleration sensor; 7-pickup; 8-antenna; 9-ultraviolet lamp; 10-photodiode; 11-battery compartment; 12-fixing bracket; 13-solar panel. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the technical solution of the present invention and to be able to implement it, the present invention is described in detail below with reference to the accompanying drawings and specific embodiments. The following embodiments are only used to more clearly illustrate the technical solution of the present invention and are not intended to limit the scope of protection of the present invention.

[0035] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "axial", "radial", "circumferential" and the like to indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the technical solutions of the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0036] In addition, the terms "first", "second", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance. In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meaning of the above terms in the present invention can be understood according to the specific circumstances. In the description of the present invention, unless otherwise specified, "plurality" means two or more, which will not be described in detail here.

[0037] The present invention uses three different data types – acceleration, sound, and oil on the water surface – to effectively identify and assess the operating status of the aerator. This provides rich detection information and high fault detection accuracy. Once an aerator malfunction occurs, it can be detected promptly and a precise solution implemented.

[0038] The technical solutions provided by various embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0039] First, the present invention provides an aerator state detection system, which includes:

[0040] The signal acquisition module is used to obtain the analog audio signal generated by the aerator when it is working and the acceleration of the float near the working area of ​​the aerator, and convert the acceleration into a first electrical signal; the oil pollution detection module is used to obtain the fluorescence signal generated by the oil pollution under ultraviolet light irradiation, and convert the fluorescence signal into a second electrical signal; the signal processing module is used to convert the analog audio signal, the first electrical signal and the second electrical signal into corresponding digital signals; extract the corresponding field audio characteristics, water wave pressure change characteristics and oil pollution concentration in the water of the digital signal; the processor is used to determine that the aerator is faulty when the field audio characteristics and the water wave pressure change frequency are within the corresponding preset fault signal range, or the oil pollution concentration in the water is greater than or equal to the preset concentration.

[0041] The signal acquisition module includes a microphone and a three-axis acceleration sensor. The microphone is used to acquire the analog audio signal generated by the aerator during operation. The three-axis acceleration sensor is used to acquire the acceleration of the float near the aerator's operating area. The oil pollution detection module includes an ultraviolet lamp and a photodiode. The oil pollution detection module is used to acquire the fluorescent signal generated by the ultraviolet lamp irradiating the oil pollution and convert the fluorescent signal into a second electrical signal via the photodiode. The signal processing module includes a filter amplifier circuit, an audio codec chip, and a digital-to-analog converter. The filter amplifier circuit is used to filter and enhance the analog audio signal, the first electrical signal, and the second electrical signal. The audio codec chip is used to convert the filtered and enhanced analog audio signal into a first digital signal. The digital-to-analog converter is used to convert the filtered and enhanced first electrical signal and the second electrical signal into a second digital signal and a third digital signal, respectively.

[0042] In addition, the processor is further configured to determine that the aerator is in a shutdown state when the field audio feature is less than a preset audio frequency or the water wave pressure change frequency is less than a preset change frequency.

[0043] In addition, the system also includes a transparent shell, a fixing bracket and a solar panel; a circuit board is arranged inside the transparent shell, the microphone is arranged on the inner wall of the shell, the three-axis acceleration sensor, ultraviolet lamp and photodiode are arranged at the bottom of the circuit board, and the circuit board is provided with a battery compartment; the battery compartment is used to supply power to the system; an antenna for sending a status signal of the aerator is arranged at the bottom of the shell; the fixing bracket is arranged on the top of the circuit board; the solar panel is arranged on the top of the fixing bracket to provide electrical energy to the battery compartment.

[0044] Based on the above aerator state detection system, the present invention provides an aerator state detector, specifically Figure 1 As shown, including:

[0045] The upper shell 1 and the lower shell 2 are used for sealing connection to protect the internal components from the external environment. Both the upper shell 1 and the lower shell 2 are transparent shells; the cable fixing hole 3 is used to fix the upper shell 1 and the lower shell 2 near the aerator to prevent them from floating away with the water waves; the power supply module is used to provide voltage and current to the circuit board 4. The power supply module may include a solar panel 13 and a battery compartment 11; the solar panel 13 is used to generate electricity and store the electricity in the battery compartment 11, and supply power to the circuit board 4 through the battery compartment 11; the switch 5 is used to control the connection between the power supply and the circuit board 4; the switch 5 can be a magnetic switch; the antenna 8, which can be a 4G or 5G rod antenna, is fixed to the outside of the upper shell 1 for sending the status signal of the aerator; the fixing bracket 12 is used to fix the circuit board 4, the power supply, the switch 5 and the solar panel 13. The solar panel 13 is fixed on the top of the fixing bracket 12 to facilitate the acquisition of solar energy.

[0046] The microphone 7 is used to obtain the analog audio signal generated when the aerator is working; the three-axis acceleration sensor 6 is used to obtain a first electrical signal based on the acceleration of the float near the working area of ​​the aerator; the oil detection circuit includes an ultraviolet lamp module and a fluorescence detection circuit, and the ultraviolet lamp module is used to generate ultraviolet light; the fluorescence detection circuit is used to obtain the fluorescence signal generated by the oil under ultraviolet light irradiation and convert the fluorescence signal into a second electrical signal; the signal conversion circuit is used to convert the analog audio signal, the first electrical signal and the second electrical signal into a digital signal; the signal processing module is used to extract the signal characteristics of the digital signal; the processor is used to determine the status of the aerator based on the signal characteristics.

[0047] Among them, the pickup 7 can be a miniature pickup, the ultraviolet lamp module includes an ultraviolet lamp 9, and the fluorescence detection circuit includes a photodiode 10; the signal conversion circuit includes: a filtering and amplifying circuit, used to filter and enhance the analog audio signal, the first electrical signal and the second electrical signal; an audio codec chip, used to convert the analog audio signal into a first digital signal; a digital-to-analog converter, used to convert the first electrical signal and the second electrical signal into a second digital signal and a third digital signal respectively; the signal processing module can be a DSP chip, and the processor can be an STM32 single-chip microcomputer chip.

[0048] Specifically, the three-axis acceleration sensor 6 operates based on the basic principle of acceleration, measuring the components of the float on the three coordinate axes (X, Y, and Z). When the three-axis sensor is subjected to acceleration, its internal sensitive elements deform or displace, thereby generating a first electrical signal proportional to the acceleration. After the first electrical signal is converted into a second digital signal, the processor uses this second digital signal to determine the acceleration components of the float in the three directions, thereby determining the float's composite acceleration. The UV lamp module includes a UV lamp 9 and a UV lamp control circuit. The UV lamp control circuit is used to control the UV lamp 9 to remain in a constant on state, continuously irradiating the outside with ultraviolet light. The fluorescence detection circuit includes a photosensor and a photodiode 10. The photosensor obtains a fluorescence signal and the photodiode 10 converts the fluorescence signal into a second electrical signal.

[0049] In addition, the aerator state detector may further include a circuit board 4 for integrating the above-mentioned signal processing module, processor, ultraviolet lamp module, fluorescence detection circuit and filter amplifier circuit.

[0050] In addition, a wireless communication module and a power management chip can also be integrated on the circuit board 4.

[0051] The wireless communication module is connected to the processor and antenna 8, respectively. If the processor determines that the aerator is abnormal, it transmits an aerator status signal via the wireless communication module and antenna 8. This status signal may include a fault signal and a shutdown signal. The power management chip is connected to the power supply and is used to control the power supply to output a current and voltage with a preset frequency and intensity.

[0052] When using the above system, the analog audio signal of the aerator when working, the acceleration of the nearby float and the nearby oil concentration are first obtained through the signal acquisition module, and then the status of the aerator is judged from multiple angles through three different data: analog audio signal, acceleration and oil concentration. This can prevent errors that may be caused by a single data detection result and improve the accuracy of aerator status identification. In this way, through multiple sets of detection information and providing multiple fault judgment criteria, the working status of the aerator can be effectively identified and evaluated. The fault detection accuracy is high. Once the aerator fails, it can be discovered in time and accurate solutions can be made, effectively avoiding possible economic losses.

[0053] Secondly, the present invention provides a method for detecting the state of an aerator, specifically as follows Figure 2 As shown, the following steps are included:

[0054] S201. Acquire an analog audio signal generated when the aerator is working, an acceleration of a float near the aerator working area, and a fluorescent signal generated by the oil stain under ultraviolet light.

[0055] Specifically, the above-mentioned aerator status detector can be placed near the aerator to obtain the analog audio signal generated when the aerator is working, the acceleration of the float near the working area of ​​the aerator, and the fluorescence signal generated by the oil stain under ultraviolet light, and convert the acceleration into a first electrical signal and convert the fluorescence signal into a second electrical signal.

[0056] S202: Determine the field audio characteristics, water wave pressure change characteristics, and oil concentration in the water near the aerator based on the simulated audio signal, acceleration, and fluorescence signal.

[0057] Specifically, the analog audio signal is converted into a first digital signal by a signal conversion circuit; a real Fourier transform is performed on the first digital signal by a signal processing module to obtain field audio characteristics. The first electrical signal is converted into a second digital signal by a signal conversion circuit; the second digital signal is filtered by the signal processing module, and the synthetic acceleration of the float is determined based on the filtered second digital signal. The filtered second digital signal is then subjected to a real Fourier transform to obtain the frequency of water wave pressure variation. The second electrical signal is converted into a third digital signal by a signal conversion circuit; an instrument operating curve is determined by the signal processing module, and the third digital signal is converted into oil concentration in water based on the instrument operating curve.

[0058] S203: If the audio characteristics of the field and the frequency of water wave pressure changes are within the corresponding preset fault signal range, or the oil concentration in the water is greater than or equal to the preset concentration, determine that the aerator is faulty.

[0059] In addition, when the field audio characteristic is less than the preset audio frequency or the water wave pressure change frequency is less than the preset change frequency, it is determined that the aerator is in the shutdown state.

[0060] In this step, the first preset fault signal range corresponding to the field audio characteristics, the second preset fault signal range corresponding to the synthetic acceleration and water wave pressure change frequency, and the preset concentration can be added to the processor respectively. The processor determines whether the aerator is in an abnormal state based on the field audio characteristics, synthetic acceleration and water wave pressure change frequency and the oil content in the water.

[0061] In one embodiment, the microphone generates an analog audio signal by collecting the working status of the aerator. The analog audio signal is converted into a digital signal through the codec chip and sent to the DSP for processing. A real Fourier transform is performed in the DSP to obtain the field audio characteristics of the aerator under the working state. After obtaining the field audio signal, the stm32 chip makes a judgment: if it is found that there is at least one group of signals less than 45Hz and the noise level exceeds 120dB in the field audio signal, it means that the aerator can work normally, but there is wear and tear on the machine parts, loose parts or foreign objects intrusion. If there is no obvious characteristic signal in the audio signal, it means that the aerator is in a shutdown state.

[0062] A digital three-axis accelerometer collects the composite acceleration of the float near the aerator's operating area. This accelerometer measures acceleration along the x, y, and z axes and sums the acceleration information vectors in these three directions to obtain the corresponding composite acceleration. To improve signal accuracy, the DSP performs filtering by setting thresholds and step frequencies to remove some noise and interference. A real Fourier transform is then performed to convert the acceleration signal into a frequency domain signal, thereby capturing the characteristics of the water wave pressure changes near the aerator when it is operating. By analyzing the water wave spectrum, if there is at least one signal with a frequency less than (n*r / 60-5) Hz and a composite acceleration less than 7 m / s², this indicates that the aerator may be improperly installed, the impeller may be unbalanced, or the motor may be faulty. If there are no obvious characteristic signals in the water wave frequency signal, the aerator is in a shutdown state.

[0063] The fluorescence detection circuit is used to monitor surface oil contamination in the water near the aerator's operating area. Specifically, the oil fluoresces under the illumination of a UV LED. The fluorescence signal received by the fluorescence detection circuit is then converted into an electrical signal. This electrical signal is converted to a digital signal through analog-to-digital conversion. The instrument's operating curve is used to convert the electrical signal into the oil content in the water, thereby assessing the oil distribution in the water near the aerator. If the oil content in the water exceeds 10 ppm, the aerator may have an oil leak.

[0064] This embodiment uses two different data types, acceleration and sound, to effectively identify and evaluate the operating status of the aerator. The specific method is as follows: First, determine whether a group of signals with a frequency less than 45 Hz and a level greater than 120 dB appear in the audio signal. If so, it indicates that the aerator is working, but there are problems such as mechanical wear, loose parts, or foreign objects intruding. Second, check whether the audio signal has no obvious characteristics. If it is determined that there are no obvious characteristics, such as no audio signal that may be present when the aerator is working, it indicates that the aerator is in a shutdown state. Third, analyze the water fluctuation spectrum signal to see whether a group of signals with a frequency less than (n*r / 60-5) Hz and an acceleration less than 7 m / s2 appears. If so, it indicates that the aerator has problems such as loose installation, impeller imbalance, or motor failure. In addition, observe whether there are obvious characteristic signals in the water fluctuation spectrum. If not, such as no characteristic signals that may be present when the aerator is working, it indicates that the aerator is in a shutdown state. Finally, check whether the oil content in the water exceeds 10 ppm. If so, it indicates that the aerator has an oil leak. If all of the above are true, it means the aerator is in normal working condition.

[0065] Using the above method, the working status of the aerator can be effectively identified and evaluated through three different data: acceleration, sound, and oil concentration. The detection information is rich, and multiple fault judgment criteria are provided. The fault detection accuracy is high. Once the aerator fails, it can be discovered in time and accurate solutions can be taken, effectively avoiding possible economic losses.

[0066] The present invention also provides a computer-readable storage medium, which stores a computer program, which can be used to execute the above Figure 2 The steps of the aerator status detection method are provided.

[0067] The present invention also provides a computer device. At the hardware level, the computer device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory. Of course, it may also include hardware required for other services. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it to achieve the above Figure 2 The steps of the aerator status detection method are provided.

[0068] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0069] The present invention is described with reference to flowcharts and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0070] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0071] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0072] It should be noted that the above specific embodiments can enable those skilled in the art to more fully understand the present invention, but do not limit the present invention in any way. Therefore, although this specification has described the present invention in detail, those skilled in the art should understand that the present invention can still be modified or replaced with equivalents; and all technical solutions and improvements that do not depart from the spirit and scope of the present invention are included in the scope of protection of the patent for the present invention. Any reference signs in the claims should not be construed as limiting the claims involved.

Claims

1. An aerator status detection system, characterized in that: The system comprises: a signal acquisition module, configured to acquire an analog audio signal generated when the aerator is operating and an acceleration of a float near an operating area of ​​the aerator, and convert the acceleration into a first electrical signal; An oil stain detection module, configured to obtain a fluorescent signal generated by the oil stain under ultraviolet light irradiation and convert the fluorescent signal into a second electrical signal; A signal processing module, configured to convert the analog audio signal, the first electrical signal, and the second electrical signal into corresponding digital signals; and extract field audio characteristics, water wave pressure variation characteristics, and oil concentration in the water from the corresponding digital signals; a processor configured to determine that the aerator is faulty when the field audio characteristics and the water wave pressure change frequency are within a corresponding preset fault signal range, or when the oil pollution concentration in the water is greater than or equal to a preset concentration; The processor is further configured to determine that the aerator is in a shutdown state when the field audio feature is less than a preset audio frequency or the water wave pressure change frequency is less than a preset change frequency.

2. The aerator status detection system according to claim 1, characterized in that: The signal acquisition module includes a microphone and a three-axis acceleration sensor. The microphone is used to obtain the analog audio signal generated when the aerator is working; the three-axis acceleration sensor is used to obtain the acceleration of the float near the aerator working area; The oil pollution detection module includes an ultraviolet lamp and a photodiode.

3. The aerator status detection system according to claim 1, characterized in that: The signal processing module includes a filter amplifier circuit, an audio codec chip and a digital-to-analog converter; The filtering and amplifying circuit is used to filter and enhance the analog audio signal, the first electrical signal and the second electrical signal; The audio codec chip is used to convert the filtered and enhanced analog audio signal into a first digital signal; The digital-to-analog converter is used to convert the filtered and enhanced first electrical signal and the second electrical signal into a second digital signal and a third digital signal respectively.

4. The aerator status detection system according to claim 2, characterized in that: The system further comprises: A transparent shell is provided with a circuit board inside, the pickup is provided on the inner wall of the shell, the three-axis acceleration sensor, ultraviolet lamp and photodiode are provided at the bottom of the circuit board, and the circuit board is provided with a battery compartment; the battery compartment is used to supply power to the system; an antenna is provided at the bottom of the shell for transmitting the status signal of the aerator; A fixing bracket is arranged on the top of the circuit board; The solar panel is arranged on the top of the fixing bracket and is used to provide electrical energy to the battery compartment.

5. A method for detecting the state of an aerator, characterized in that: The method comprises: Acquire the analog audio signal generated by the aerator when it is working, the acceleration of the float near the aerator working area, and the fluorescence signal generated by the oil under ultraviolet light; Determining the field audio characteristics, water wave pressure change characteristics, and oil pollution concentration in the water near the aerator based on the simulated audio signal, acceleration, and fluorescence signal; When the field audio characteristics and the water wave pressure change frequency are within the corresponding preset fault signal range, or the oil pollution concentration in the water is greater than or equal to the preset concentration, determining that the aerator is faulty; The method further includes: determining that the aerator is in a shutdown state when the field audio feature is less than a preset audio frequency or the water wave pressure change frequency is less than a preset change frequency.

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