A pressure stabilizing control system for a waterpik

Abstract

The application discloses a kind of pressure stabilizing control systems that can be used for oral irrigator, comprising: determination module is used to determine the working cycle of water pump included in oral irrigator;First acquisition module is used to obtain the transmission parameter between water pump and motor included in oral irrigator;Second acquisition module is used to calculate the speed of motor according to the working cycle and the transmission parameter, and judge whether in preset speed range;When determining that the speed is not in preset speed range, the current voltage value of motor is obtained;First calculation module is used to calculate adjustment parameter according to the current voltage value and the target voltage value of current gear;Adjustment module is used to adjust the current voltage value according to the adjustment parameter. Improve water pressure control precision, enhance the experience of feeling.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oral irrigators, and particularly relates to a stable voltage control system for an oral irrigator. BACKGROUND

[0002] An oral irrigator is a cleaning tool for cleaning the oral cavity, which can clean teeth and dental crevices through the mode of pulse water flow impact. The state of the battery of the oral irrigator can cause the output power of the motor to be difficult to stabilize, thereby causing the output water pressure of the oral irrigator to be difficult to maintain stable, and affecting the user experience. SUMMARY

[0003] The present application aims to at least one of the above technical problems in the technical field. To this end, the present application aims to provide a stable voltage control system for an oral irrigator, to improve the water pressure control precision and enhance the impact experience.

[0004] To achieve the above-mentioned purpose, the present application provides a stable voltage control system for an oral irrigator, comprising:

[0005] A determination module is configured to determine the working period of a water pump included in the oral irrigator.

[0006] A first acquisition module is configured to acquire the transmission parameter between the water pump and the motor included in the oral irrigator.

[0007] A second acquisition module is configured to calculate the speed of the motor according to the working period and the transmission parameter, and determine whether the speed is within a preset speed range; when it is determined that the speed is not within the preset speed range, the current voltage value of the motor is acquired.

[0008] A first calculation module is configured to calculate the adjustment parameter according to the current voltage value and the target voltage value of the current gear.

[0009] An adjustment module is configured to adjust the current voltage value according to the adjustment parameter.

[0010] According to some embodiments of the present application, the determination module comprises:

[0011] An acquisition module is configured to acquire the magnetic field intensity change data and the jitter value change data of the piston of the water pump included in the oral irrigator during the movement process within a preset time period.

[0012] A first analysis module is configured to analyze the magnetic field intensity change data to determine the number of times of occurrence of the maximum value; and calculate the first period according to the number of times of occurrence of the maximum value and the preset time period.

[0013] A second analysis module is configured to analyze the jitter value change data to determine a plurality of jitter peak values, calculate a difference value between time points corresponding to two adjacent jitter peak values to obtain a plurality of difference values, and calculate an average difference value as a second period.

[0014] A second calculation module is configured to calculate a working period of a water pump included in the oral irrigator according to the first period and the second period.

[0015] According to some embodiments of the present application, the transmission parameter includes a transmission ratio.

[0016] According to some embodiments of the present application, the second acquisition module includes:

[0017] A noise reduction module is configured to acquire a current voltage signal, perform noise reduction processing on the current voltage signal to obtain a noise reduction signal.

[0018] A conversion module is configured to convert the noise reduction signal into a digital signal to obtain a current voltage value of the motor.

[0019] According to some embodiments of the present application, the acquisition module includes a magnetic sensor.

[0020] According to some embodiments of the present application, the device further includes:

[0021] A detection module is configured to detect a plurality of water pressure data at a nozzle included in the oral irrigator after adjustment.

[0022] A third analysis module is configured to calculate a variance according to the plurality of water pressure data and determine whether the variance is greater than a preset variance, and issue an alarm prompt when it is determined that the variance is greater than the preset variance.

[0023] According to some embodiments of the present application, the first analysis module converts a waveform corresponding to the magnetic field strength change data into a square wave.

[0024] According to some embodiments of the present application, the water pump includes a piston pump.

[0025] According to some embodiments of the present application, the noise reduction module includes:

[0026] A segmentation module is configured to perform segmentation processing on the current voltage signal to obtain a plurality of sub-current voltage signals.

[0027] A decomposition module is configured to perform decomposition processing on the sub-current voltage signal to decompose the sub-current voltage signal into different modal spaces to obtain an IMF component corresponding to each modal space.

[0028] A processing module is configured to:

[0029] The IMF components in the same modal space are compared with the preset standard IMF components to obtain the difference parameters, and the difference parameters are used as the estimated noise in the modal space.

[0030] Feature extraction is performed on the estimated noise to determine the wavelet energy density of the estimated noise. A preset data table is queried based on the wavelet energy density to determine the noise reduction coefficient. The IMF component is then denoised based on the noise reduction coefficient.

[0031] The reconstruction module is used to reconstruct the noise-reduced IMF components to obtain the noise-reduced sub-current voltage signal.

[0032] The fusion module is used to acquire the time series information of the denoised sub-current voltage signal, and to perform fusion processing on the denoised sub-current voltage signal according to the time series to obtain the denoised signal.

[0033] According to some embodiments of the present invention, it further includes:

[0034] The fault detection module is used for:

[0035] Obtain the attribute information of the water pump, and construct a simulation model based on the attribute information;

[0036] Obtain the operating parameters of the water pump, input the operating parameters into the simulation model, and obtain simulation data;

[0037] Obtain actual data of the water pump based on its operating parameters;

[0038] The data type of the actual data is obtained and clustered to obtain several first category sets;

[0039] Pre-determine an initial set;

[0040] Calculate the first Euclidean distance between each of the first category sets and the initial set. Using the initial set as the center, draw each first category set according to the first Euclidean distance. Determine the first topological connection relationship through the first Euclidean distance matrix between the initial set and each first category set.

[0041] The data type of the simulated data is obtained and clustered to obtain several second category sets;

[0042] Calculate the second Euclidean distance between each of the several second-class sets and the initial set. Using the initial set as the center, draw each second-class set according to the second Euclidean distance. Determine the second topological connection relationship through the second Euclidean distance matrix between the initial set and each second-class set.

[0043] According to the first topological connection relationship and the second topological connection relationship, the actual data and the simulation data are fused to obtain fusion data, and fault detection is performed according to the fusion data.

[0044] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and attained by means of the instrumentalities particularly pointed out in the written description and claims hereof.

[0045] The technical solutions of the present application are described in further detail below with the help of drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0046] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, illustrate the present application and explain the principles of the present application, and do not constitute a limitation of the present application. In the drawings:

[0047] Figure 1 is a block diagram of a stable voltage control system for a water pick according to an embodiment of the present application;

[0048] Figure 2 is a block diagram of a determination module according to an embodiment of the present application;

[0049] Figure 3 is a block diagram of a second acquisition module according to an embodiment of the present application. DETAILED DESCRIPTION

[0050] The preferred embodiments of the present application are described below in conjunction with the accompanying drawings, and it should be understood that the preferred embodiments described herein are only used to explain and illustrate the present application, and do not constitute a limitation of the present application.

[0051] As shown in Figure 1 , the present application proposes a stable voltage control system for a water pick, comprising:

[0052] A determination module is configured to determine a working period of a water pump included in the water pick;

[0053] A first acquisition module is configured to acquire a transmission parameter between the water pump and a motor included in the water pick;

[0054] A second acquisition module is configured to calculate a rotating speed of the motor according to the working period and the transmission parameter, and determine whether the rotating speed is within a preset rotating speed range; when it is determined that the rotating speed is not within the preset rotating speed range, a current voltage value of the motor is acquired;

[0055] A first calculation module is configured to calculate an adjustment parameter according to the current voltage value and a target voltage value of a current gear;

[0056] an adjusting module configured to adjust the current voltage value according to the adjusting parameter.

[0057] The working principle of the technical solution is as follows: a determining module is configured to determine a working period of a water pump included in the oral irrigator; a first obtaining module is configured to obtain a transmission parameter between the water pump and a motor included in the oral irrigator; a second obtaining module is configured to calculate a rotating speed of the motor according to the working period and the transmission parameter, and determine whether the rotating speed is within a preset rotating speed range; when it is determined that the rotating speed is not within the preset rotating speed range, a current voltage value of the motor is obtained; a first calculating module is configured to calculate an adjusting parameter according to the current voltage value and a target voltage value of a current gear; and an adjusting module is configured to adjust the current voltage value according to the adjusting parameter. The adjusting parameter is a duty cycle, which is a ratio of the target voltage value to the current voltage value.

[0058] The technical solution has the following beneficial effects: based on the rotating speed and the preset rotating speed range, it is determined that the water pressure output by the oral irrigator is unstable at this time; the adjusting parameter is calculated according to the current voltage value and the target voltage value of the current gear, and is adjusted, so that the water pressure control precision is improved, and the oral irrigating experience is enhanced.

[0059] As shown in FIG. Figure 2 The determining module comprises:

[0060] A collecting module is configured to collect magnetic field intensity change data and jitter value change data of a piston of a water pump included in the oral irrigator in a movement process in a preset time period.

[0061] A first analyzing module is configured to analyze the magnetic field intensity change data to determine a number of times of occurrence of a maximum value, and calculate a first period according to the number of times of occurrence of the maximum value and the preset time period.

[0062] A second analyzing module is configured to analyze the jitter value change data to determine a plurality of jitter peak values, calculate a difference value between time points corresponding to adjacent two jitter peak values respectively to obtain a plurality of difference values, and calculate an average difference value as a second period.

[0063] A second calculating module is configured to calculate a working period of the water pump included in the oral irrigator according to the first period and the second period.

[0064] The working principle of the technical solution is as follows: the collection module is configured to collect magnetic field intensity change data and jitter value change data of a piston of a water pump included in the oral irrigator during movement in a preset time period; the first analysis module is configured to analyze the magnetic field intensity change data and determine the number of times of occurrence of a maximum value; according to the number of times of occurrence of the maximum value and the preset time period, a first period is calculated; the second analysis module is configured to analyze the jitter value change data and determine a plurality of jitter peak values; the difference between the time corresponding to each two adjacent jitter peak values is calculated to obtain a plurality of difference values, and an average difference value is calculated as a second period; the second calculation module is configured to calculate the working period of the water pump included in the oral irrigator according to the first period and the second period. The working period is the average of the first period and the second period.

[0065] The beneficial effects of the technical solution are as follows: based on the magnetic field intensity change data and the jitter value change data of the piston of the water pump included in the oral irrigator during movement, the first period and the second period are accurately calculated, and then the working period is accurately calculated, which is beneficial to reducing the error of the calculated working period and improving accuracy.

[0066] According to some embodiments of the present application, the transmission parameter includes a transmission ratio.

[0067] As shown in the figure, according to some embodiments of the present application, the second acquisition module includes: Figure 3

[0068] The noise reduction module is configured to collect a current voltage signal, perform noise reduction processing on the current voltage signal, and obtain a noise reduction signal.

[0069] The conversion module is configured to convert the noise reduction signal into a digital signal to obtain a current voltage value of the motor.

[0070] The working principle of the technical solution is as follows: the noise reduction module is configured to collect a current voltage signal, perform noise reduction processing on the current voltage signal, and obtain a noise reduction signal; the conversion module is configured to convert the noise reduction signal into a digital signal to obtain a current voltage value of the motor.

[0071] The beneficial effects of the technical solution are as follows: the interference of noise signals in the current voltage signal is avoided, and the obtained current voltage value is more accurate.

[0072] According to some embodiments of the present application, the collection module includes a magnetic sensor.

[0073] According to some embodiments of the present application, the technical solution further includes:

[0074] The detection module is configured to detect a plurality of water pressure data at a nozzle included in the oral irrigator after adjustment.

[0075] ​The third analysis module is configured to calculate variance according to the plurality of water pressure data, and determine whether the variance is greater than a preset variance, and issue an alarm prompt when it is determined that the variance is greater than the preset variance.

[0076] The working principle of the technical solution is as follows: the detection module is configured to detect a plurality of water pressure data at a nozzle included in the oral irrigator after adjustment; and the third analysis module is configured to calculate variance according to the plurality of water pressure data, and determine whether the variance is greater than a preset variance, and issue an alarm prompt when it is determined that the variance is greater than the preset variance.

[0077] The technical solution has the beneficial effects that whether the output water pressure of the adjusted oral irrigator is stable is detected, and when it is determined that the variance is less than or equal to the preset variance, it indicates that the output water pressure is stable, otherwise, it indicates that the water pressure is unstable and needs to be adjusted, and an alarm prompt is issued to facilitate timely maintenance and checking.

[0078] According to some embodiments of the present application, the first analysis module converts the waveform corresponding to the magnetic field strength change data into a square wave.

[0079] According to some embodiments of the present application, the water pump includes a piston pump.

[0080] In an embodiment, the method further comprises:

[0081] The third acquisition module is configured to acquire an electric quantity of a power module included in the oral irrigator, and determine whether the electric quantity is less than a preset electric quantity, and issue a first alarm prompt and charge the power module when it is determined that the electric quantity is less than the preset electric quantity.

[0082] The third calculation module is configured to calculate a charging efficiency of the power module when the power module is charging, and determine whether the charging efficiency is less than a preset charging efficiency, and issue a second alarm prompt when it is determined that the charging efficiency is less than the preset charging efficiency.

[0083] The charging efficiency η of the power module is calculated, including:

[0084]

[0085] wherein K is the capacity of the power module, P is the power when charging the power module, t is the charging time of the power module, U is the voltage of the power module before charging, and ε is the aging coefficient of the power module.

[0086] The working principle and beneficial effects of the technical solution are as follows: the third acquisition module is configured to acquire the power of the power module included in the oral irrigator and determine whether the power is less than a preset power, and when it is determined that the power is less than the preset power, a first alarm prompt is sent and the power module is charged; the first alarm prompt is an alarm prompt for low power, which facilitates the user to charge the power module in a timely manner. The third calculation module is configured to calculate the charging efficiency of the power module when the power module is charging and determine whether the charging efficiency is less than a preset charging efficiency; when it is determined that the charging efficiency is less than the preset charging efficiency, a second alarm prompt is sent. The second alarm prompt is an alarm prompt for the charging efficiency being less than the preset charging efficiency, which facilitates the user to check in a timely manner and ensures the charging efficiency of the power module. Based on the above formula, the charging efficiency of the power module is accurately calculated, the accuracy of determining the charging efficiency and the preset charging efficiency is improved, and the reliability of the system is improved.

[0087] According to some embodiments of the application, the noise reduction module comprises:

[0088] The segmentation module is configured to perform segmentation processing on the current voltage signal to obtain a plurality of sub-current voltage signals.

[0089] The decomposition module is configured to perform decomposition processing on the sub-current voltage signal, decompose the sub-current voltage signal into different modal spaces, and obtain IMF components corresponding to the different modal spaces.

[0090] The processing module is configured to:

[0091] Compare the IMF components in the same modal space with preset standard IMF components to obtain a difference parameter, and use the difference parameter as an estimated noise in the modal space.

[0092] Perform feature extraction on the estimated noise, determine the wavelet energy density of the estimated noise, query a preset data table according to the wavelet energy density to determine a noise reduction coefficient, and perform noise reduction processing on the IMF components according to the noise reduction coefficient.

[0093] The reconstruction module is configured to reconstruct the IMF components after noise reduction processing to obtain sub-current voltage signals after noise reduction.

[0094] The fusion module is configured to acquire time sequence information of the sub-current voltage signals after noise reduction, perform fusion processing on the sub-current voltage signals after noise reduction according to the time sequence, and obtain a noise reduction signal.

[0095] The working principle of the technical scheme is as follows: the segmentation module is used for segmenting the current voltage signal to obtain a plurality of sub-current voltage signals; the decomposition module is used for decomposing the sub-current voltage signal to different modal spaces to obtain IMF components corresponding to different modal spaces; the decomposition method used is the CEEMDAN method. The processing module is used for comparing the IMF components in the same modal space with preset standard IMF components to obtain difference parameters, taking the difference parameters as estimated noise in the modal space, performing feature extraction on the estimated noise to determine the wavelet energy density of the estimated noise, querying a preset data table according to the wavelet energy density to determine a noise reduction coefficient, and performing noise reduction processing on the IMF components according to the noise reduction coefficient; the preset data table is a wavelet energy density-noise reduction coefficient table. The reconstruction module is used for reconstructing the IMF components after noise reduction to obtain sub-current voltage signals after noise reduction; the fusion module is used for obtaining time sequence information of the sub-current voltage signals after noise reduction and performing fusion processing on the sub-current voltage signals after noise reduction according to the time sequence to obtain a noise reduction signal. The IMF component represents a basic mode component of a signal, and the basic mode component is convenient for extracting the characteristics of the signal.

[0096] The beneficial effects of the technical scheme are as follows: the sub-current voltage signals are respectively subjected to noise reduction, the noise reduction effect is improved, the estimated noise in the modal space and the corresponding noise reduction coefficient are determined based on the IMF components corresponding to different modal spaces when the sub-current voltage signals are processed, the noise reduction accuracy of the IMF components is improved, the sub-current voltage signals after noise reduction are obtained, and then the noise reduction signal is obtained, thereby avoiding the influence of the noise signal on the calculation result.

[0097] According to some embodiments of the application, the method further comprises:

[0098] The fault detection module is used for:

[0099] Obtaining attribute information of the water pump, and constructing a simulation model according to the attribute information;

[0100] Obtaining working parameters of the water pump, inputting the working parameters into the simulation model, and obtaining simulation data;

[0101] Obtaining actual data of the water pump based on the working parameters;

[0102] Obtaining a data type of the actual data and performing clustering to obtain a plurality of first classification sets;

[0103] A preset initial set is obtained.

[0104] The first Euclidean distances between the first classification sets and the initial set are respectively calculated, each first classification set is plotted according to the first Euclidean distance with the initial set as the center, and the first topological connection relationship is determined through the first Euclidean distance matrix between the initial set and each first classification set;

[0105] The data types of the simulation data are obtained and clustered to obtain a plurality of second classification sets;

[0106] The second Euclidean distances between the second classification sets and the initial set are respectively calculated, each second classification set is plotted according to the second Euclidean distance with the initial set as the center, and the second topological connection relationship is determined through the second Euclidean distance matrix between the initial set and each second classification set;

[0107] The actual data and the simulation data are fused according to the first topological connection relationship and the second topological connection relationship to obtain fusion data, and fault detection is performed according to the fusion data.

[0108] The working principle of the above technical solution is as follows: the fault detection module is used to: obtain attribute information of the water pump, and construct a simulation model according to the attribute information; the attribute information includes structure, shape, size, and the like. Obtain the working parameters of the water pump, input the working parameters into the simulation model to obtain simulation data; obtain the actual data of the water pump under the working parameters; obtain the data types of the actual data and cluster them to obtain a plurality of first classification sets; an initial set is preset; the initial set can be obtained through multiple experiments. The first Euclidean distances between the first classification sets and the initial set are respectively calculated, each first classification set is plotted according to the first Euclidean distance with the initial set as the center, and the first topological connection relationship is determined through the first Euclidean distance matrix between the initial set and each first classification set; the data types of the simulation data are obtained and clustered to obtain a plurality of second classification sets; the second Euclidean distances between the second classification sets and the initial set are respectively calculated, each second classification set is plotted according to the second Euclidean distance with the initial set as the center, and the second topological connection relationship is determined through the second Euclidean distance matrix between the initial set and each second classification set; the actual data and the simulation data are fused according to the first topological connection relationship and the second topological connection relationship to obtain fusion data, and fault detection is performed according to the fusion data.

[0109] The beneficial effects of the above technical solutions are: accurate data fusion of actual data and the simulation data is realized, the accuracy of the obtained fusion data is ensured, fault detection of the water pump is realized according to the fusion data, real-time interaction and all-around state comparison between the actual device and the virtual device are realized, the real state of the actual device is simulated, more comprehensive device operation feature capture and more accurate fault diagnosis and prediction and more accurate maintenance strategy verification are realized.

[0110] Those skilled in the art will understand that embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0111] The present application is described with reference to flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block 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 apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more functions specified in the flowchart or flows and / or blocks. Figure 1 an apparatus that implements one or more functions specified in the flowchart or flows and / or blocks.

[0112] These computer program instructions can also be stored in a computer-readable memory that can direct the computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including instruction apparatus, which implements the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more functions specified in the flowchart or flows and / or blocks. Figure 1 an apparatus that implements one or more functions specified in the flowchart or flows and / or blocks.

[0113] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable data processing apparatus to produce a computer-implemented process, so that the instructions executed on the computer or other programmable data processing apparatus provide a process for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more functions specified in the flowchart or flows and / or blocks. Figure 1 an apparatus that implements one or more functions specified in the flowchart or flows and / or blocks.

[0114] Obviously, many modifications and variations of the present application are possible in light of the above teachings. It is, therefore, to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A pressure stabilizing control system usable for an oral irrigator, characterized by, The method comprises the following steps: determining the working period of the water pump included in the oral irrigator; acquiring the transmission parameter between the water pump and the motor included in the oral irrigator; calculating the rotating speed of the motor according to the working period and the transmission parameter, and judging whether the rotating speed is within the preset rotating speed range; when it is determined that the rotating speed is not within the preset rotating speed range, acquiring the current voltage value of the motor; calculating the adjusting parameter according to the current voltage value and the target voltage value of the current gear; adjusting the current voltage value according to the adjusting parameter; The method further comprises the following steps: detecting the fault by: acquiring the attribute information of the water pump, and constructing an analog model according to the attribute information; acquiring the working parameter of the water pump, inputting the working parameter into the analog model, and obtaining analog data; acquiring the actual data of the water pump under the working parameter; acquiring the data type of the actual data and clustering the actual data to obtain a plurality of first classification sets; presetting an initial set; calculating the first Euclidean distance between the plurality of first classification sets and the initial set, respectively, taking the initial set as the center, drawing each first classification set according to the first Euclidean distance, and determining the first topological connection relationship through the first Euclidean distance matrix between the initial set and each first classification set; acquiring the data type of the analog data and clustering the analog data to obtain a plurality of second classification sets; calculating the second Euclidean distance between the plurality of second classification sets and the initial set, respectively, taking the initial set as the center, drawing each second classification set according to the second Euclidean distance, and determining the second topological connection relationship through the second Euclidean distance matrix between the initial set and each second classification set; performing data fusion on the actual data and the analog data according to the first topological connection relationship and the second topological connection relationship to obtain fusion data, and performing fault detection according to the fusion data.

2. The regulated control system for use in a waterpik of claim 1, wherein, The determining module comprises: a collection module for collecting the magnetic field intensity change data and the jitter value change data of the piston of the water pump included in the oral irrigator during the movement process within a preset time period; a first analysis module for analyzing the magnetic field intensity change data to determine the number of times of occurrence of the maximum value, and calculating the first period according to the number of times of occurrence of the maximum value and the preset time period; a second analysis module for analyzing the jitter value change data to determine a plurality of jitter peak values, calculating the difference between the time corresponding to each two adjacent jitter peak values to obtain a plurality of difference values, and calculating the average difference value as the second period; a second calculation module for calculating the working period of the water pump included in the oral irrigator according to the first period and the second period.

3. The regulated control system for use in a waterpik of claim 1, wherein, The transmission parameter comprises a transmission ratio.

4. The regulated control system for use in a waterpik of claim 1, wherein, The second acquisition module comprises: a noise reduction module for collecting a current voltage signal, performing noise reduction processing on the current voltage signal to obtain a noise reduction signal; a conversion module for converting the noise reduction signal into a digital signal to obtain the current voltage value of the motor.

5. The regulated control system for use in a waterpik of claim 2, wherein, The collection module comprises a magnetic sensor.

6. The regulated control system for use in a waterpik of claim 1, wherein, The method further comprises the following steps: detecting a plurality of water pressure data at the nozzle of the oral irrigator after the adjustment by a detection module; The third analysis module is configured to calculate a variance according to the plurality of water pressure data, and determine whether the variance is greater than a preset variance, and issue an alarm prompt when it is determined that the variance is greater than the preset variance.

7. The regulated control system for use in a waterpik of claim 2, wherein, The first analysis module converts the waveform corresponding to the magnetic field intensity change data into a square wave.

8. The regulated control system for use in a waterpik of claim 1, wherein, The water pump comprises a piston pump.

9. The regulated control system for use in a waterpik of claim 4, wherein, The noise reduction module comprises: The segmentation module is configured to segment the current voltage signal to obtain a plurality of sub-current voltage signals. The decomposition module is configured to decompose the sub-current voltage signals into different modal spaces to obtain IMF components corresponding to the different modal spaces. The processing module is configured to: compare the IMF components of the same modal space with preset standard IMF components to obtain difference parameters, and use the difference parameters as estimated noise in the modal space; extract features of the estimated noise, determine wavelet energy density of the estimated noise, query a preset data table according to the wavelet energy density to determine a noise reduction coefficient, and perform noise reduction processing on the IMF components according to the noise reduction coefficient; The reconstruction module is configured to reconstruct the IMF components after noise reduction processing to obtain sub-current voltage signals after noise reduction. The fusion module is configured to obtain time sequence information of the sub-current voltage signals after noise reduction, and perform fusion processing on the sub-current voltage signals after noise reduction according to the time sequence to obtain a noise reduction signal.

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