System for marine microorganism fouling treatment

Abstract

The invention discloses a system for marine microorganism fouling treatment, the system for marine microorganism fouling treatment comprises a sensor and a control module, the sensor is used for being placed in a marine water body, the control module is used for outputting a measurement signal to the sensor, and according to the response of the sensor to the measurement signal, the control module is used for controlling the marine microorganism fouling treatment. And determining attachment condition information of the attached organisms on the surface of the sensor, and controlling the sensor to expel the attached organisms according to the attachment condition information. According to the invention, attached organisms such as microorganisms and the like can be directly monitored in a marine environment, sampling and sample preparation for re-detection are not needed, and on-site monitoring is realized; according to the method, intelligent perception can be realized according to attachment condition information, so that a repelling program is started in time, attachment and growth of attached organisms are effectively prevented, and a more comprehensive and reliable technical means is provided for perception and repelling formed by early microbial fouling. The method is widely applied to the technical field of marine environment monitoring.

Description

Technical Field

[0001] The invention relates to the technical field of marine environment monitoring, in particular to a system for treating marine microbial fouling. Background Art

[0002] Ships of all materials in the ocean will face the problem of marine fouling organisms attaching. Nearly 2,000 species of fouling organisms (including plants and animals) have been reported in the world's oceans, and there are more than 600 species of fouling organisms along the coast of China. The attachment, growth and reproduction of these organisms will reduce the working efficiency of underwater facilities, affect the stability of underwater structural facilities, and even cause safety hazards.

[0003] Existing methods for detecting fouling microorganisms are mainly divided into direct and indirect methods, which require in vitro sampling, have complicated operation steps, are difficult to monitor in situ, and often cause irreversible damage. There is still a lack of a real-time, non-destructive, in situ method for monitoring microbial attachment. Summary of the invention

[0004] In view of the current technical problems that the causal analysis of environmental changes and the risk of infectious diseases lacks stable standards, is inefficient and prone to errors, the purpose of the present invention is to provide a system for treating marine microbial fouling.

[0005] An embodiment of the present invention includes a system for treating marine microbial fouling, the system for treating marine microbial fouling including:

[0006] Sensor; the sensor is used to be placed in an ocean water body;

[0007] A control module; the control module is connected to the sensor, and the control module is used to output a measurement signal to the sensor, determine the attachment status information of the attached organisms on the sensor surface according to the sensor's response to the measurement signal, and control the sensor to expel the attached organisms according to the attachment status information.

[0008] Further, the sensor comprises interdigital electrodes.

[0009] Further, the outputting a measurement signal to the sensor comprises:

[0010] Outputting a frequency sweep signal to the sensor; the frequency sweep signal is distributed over a plurality of frequencies;

[0011] Determining cell indexes corresponding to respective frequencies according to the response of the sensor to the frequency sweep signal;

[0012] Determining a sensitive measurement frequency according to each of the cell indices;

[0013] A measurement signal having a frequency equal to the sensitive measurement frequency is output to the sensor.

[0014] Furthermore, determining the cell indexes corresponding to the multiple frequencies respectively according to the response of the sensor to the frequency sweep signal includes:

[0015] Determining impedance values ​​corresponding to each of the plurality of frequencies detected by the sensor according to a response of the sensor to the frequency sweep signal;

[0016] Acquiring a cell-free impedance value and a nominal impedance value; the cell-free impedance value is an impedance value detected when there are no organisms attached to the sensor;

[0017] For any frequency, the cell index corresponding to the frequency is determined according to the cell-free impedance value, the nominal impedance value and the impedance value corresponding to the frequency.

[0018] Furthermore, determining the sensitive measurement frequency according to each of the cell indexes includes:

[0019] According to each of the cell indexes, a cell index-frequency curve is generated;

[0020] Determining the maximum slope point on the cell index-frequency curve;

[0021] The frequency corresponding to the maximum slope point is used as the sensitive measurement frequency.

[0022] Further, the determining of the attachment information of the attached organisms on the sensor surface includes:

[0023] Determining an impedance value detected by the sensor at any first moment according to a response of the sensor to the measurement signal at the first moment;

[0024] Determining the quantity information of the organisms attached to the surface of the sensor at the first moment according to the impedance value detected at the first moment;

[0025] The quantity information is used as the attachment condition information.

[0026] Further, the determining of the attachment information of the attached organisms on the sensor surface includes:

[0027] Determining a plurality of impedance values ​​detected by the sensor at the plurality of moments, respectively, according to responses of the sensor to the measurement signal at the plurality of moments;

[0028] Generate an impedance value-time curve according to a plurality of impedance values ​​detected at a plurality of moments;

[0029] Acquiring curve characteristic information of the impedance value-time curve;

[0030] Determining the type information of the organisms attached to the sensor surface according to the curve characteristic information;

[0031] The type information is used as the attachment condition information.

[0032] Further, the determining of the attachment information of the attached organisms on the sensor surface includes:

[0033] Outputting a frequency sweep signal to the sensor; the frequency sweep signal is distributed over a plurality of frequencies;

[0034] Determining cell indexes corresponding to respective frequencies according to the response of the sensor to the frequency sweep signal;

[0035] Determining a sensitive measurement frequency according to each of the cell indices;

[0036] Determining the type information of the organisms attached to the sensor surface according to the sensitive measurement frequency;

[0037] The type information is used as the attachment condition information.

[0038] Further, controlling the sensor to drive away the attached organisms according to the attachment situation information includes:

[0039] Detecting trigger signals;

[0040] When the trigger signal is detected, a discharge frequency, a discharge voltage and a discharge duration are determined according to the attachment condition information;

[0041] An electrical signal is applied to the sensor according to the discharge frequency, discharge voltage and discharge duration.

[0042] Furthermore, the detection trigger signal includes:

[0043] Determining an impedance value detected by the sensor at any first moment according to a response of the sensor to the measurement signal at the first moment;

[0044] determining the impedance value detected by the sensor at a second moment according to a response of the sensor to the measurement signal at the second moment; the second moment being a moment before the first moment;

[0045] Determine an impedance change value of the impedance value detected by the sensor at the first moment relative to the impedance value detected at the second moment;

[0046] When the absolute value of the impedance change value is smaller than a threshold, it is determined that the trigger signal is detected at the first moment.

[0047] The beneficial effects of the present invention are as follows: the system for treating marine microbial fouling in the embodiment can directly monitor attached organisms such as microorganisms in the marine environment without the need for sampling and sample preparation for retesting, thereby realizing on-site monitoring; it can realize intelligent perception based on the attachment situation information, thereby timely starting the expulsion program, effectively preventing the attachment and growth of attached organisms, and providing a more comprehensive and reliable technical means for the perception and expulsion of early microbial fouling. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 Schematic diagram of the structure of the system for treating marine microbial fouling in the embodiment;

[0049] Figure 2 A physical schematic diagram of a sensor in the embodiment;

[0050] Figure 3 A schematic diagram of the relationship between the impedance value detected by the sensor and the frequency in the embodiment;

[0051] Figure 4 A schematic diagram of the relationship between the cell index and the frequency detected by the sensor in the embodiment;

[0052] Figure 5 This is a schematic diagram of the sensor surface attachment under a metallographic microscope in the embodiment;

[0053] Figure 6 This is a schematic diagram of the sensor surface attachment under a laser confocal microscope in the embodiment;

[0054] Figure 7 Schematic diagram of the relationship between the impedance value detected by the sensor and the biofilm coverage rate on the sensor surface in the embodiment;

[0055] Figure 8 Schematic diagram of the relationship between the impedance value detected by the sensor and time in the embodiment. DETAILED DESCRIPTION

[0056] The formation stage of biofilm is mainly divided into four stages, namely the formation of conditional film, the formation of microbial film, the aggregation of small organisms, and the aggregation of large organisms. When biofouling reaches the late stage, it has already firmly attached and formed a biological community that is difficult to remove. Therefore, the ability to monitor the early stages of fouling microorganisms is of great significance for the understanding and prevention of biofouling. The transformation of biofouling from reversible attachment to irreversible attachment in the second stage is the key to the formation of biofouling, and the degree of fouling at this stage is lighter and easier to remove. If monitoring of this stage can be achieved, it will be beneficial to the understanding of the formation mechanism of biofouling and provide broad space for the removal and prevention of biofouling.

[0057] If two electrodes are set up, a small AC signal is applied between the two electrodes at different frequencies and the ratio of the voltage to the current flowing through the sensor, i.e. the impedance value, is recorded in real time. When the cells of the attached organisms attach to and spread on the electrode surface, the cells effectively block the area available for the flow of ionic current and disrupt the electrode / electrolyte interface, which usually leads to a substantial increase in the measured impedance. By monitoring the fluctuations in the impedance amplitude during the interaction between cells and electrodes, the physiological activities of cells such as attachment, diffusion, and proliferation can be dynamically reflected.

[0058] Based on the above principles, in this embodiment, a system for treating marine microbial fouling is provided. Figure 1 The system for treating marine microbial fouling includes a control module and a sensor, wherein the control module is connected to the sensor.

[0059] Specifically, the control module includes components such as a control unit, an impedance measurement unit, a peripheral circuit unit, a power supply unit, a display unit, and a burner. Among them, the control unit is a component with data acquisition, data processing and control functions, and an STM32 single-chip microcomputer can be used as the control unit; the burner can be connected to an external computer to burn the computer program into the control unit for operation. In this embodiment, the computer program running in the control unit includes a frequency sweep function program, an impedance measurement function program, a gear selection function program, a threshold judgment function program, and a voltage application function program.

[0060] The display unit includes an LCD display screen and related display control functions for controlling the display effect of the screen; the related display control functions include LED control function, screen clearing function, dot drawing function, area filling function, character display function, character string display function, line drawing function, rectangle drawing function, circle drawing function, etc. The LED control function lights up the LED lamp by applying a high level; the screen clearing function turns off the entire screen by applying a low level; the dot drawing function realizes the lighting effect of the LED lamp at the corresponding position on the screen according to the input data according to the instruction; the filling function makes all the points in the area between the diagonal points light up according to the coordinates of the two diagonal vertices input; the character display function displays a character at the corresponding position of the LCD according to the corresponding compilation rules; the character string display function displays the character string according to the starting coordinates and the data starting address; the line drawing function displays the line segment on the LCD according to the starting coordinates and the end point coordinates; the rectangle drawing function draws four line segments to form a rectangle according to the diagonal starting coordinates and the diagonal end point coordinates; the circle drawing function displays the corresponding circular shape on the LCD according to the center point coordinates, radius and whether to fill.

[0061] The power supply unit includes a voltage regulator, a dry battery pack and a USB power interface; the voltage regulator converts the input voltage to the internal working voltage of 3.3V of the control unit circuit board; the dry battery pack provides a 6V input voltage by connecting four 1.5V dry batteries in series; the USB power interface can provide a 5V input voltage to the circuit board through the USB transmission line.

[0062] The peripheral circuit unit includes a voltage regulator, an operational amplifier and a 4-position plug; the voltage regulator LTC1763 module realizes reverse battery protection, current limiting, thermal limiting and reverse current protection through an internal protection circuit, and converts the input voltage into different excitation voltages; the operational amplifier AD820 module is to solve the problem that when the impedance is small, if the chip is not enough to provide sufficient current drive, an external amplifier can be used to achieve load capacity; the 4-position plug realizes the switching of the circuit by changing the connection method of the pins, thereby achieving the effect of changing the excitation voltage. The circuit board of the control unit is burned through the JLink interface. By using the JLink V9 burning line to connect the main control board of the circuit board to the computer, the compiled programming program is burned to the circuit board for storage and use.

[0063] In this embodiment, interdigital electrodes are used as sensors. Figure 2 As shown. The preparation steps of the sensor include: preparing the sensor. Fixing the interdigitated gold electrodes to the PET substrate for lead packaging, then using conductive silver paste to connect the wires and electrode lead-out areas and solidify at room temperature, then using polydimethylsiloxane (PDMS) to encapsulate the lead area, and finally using a multimeter to perform a single-branch conductivity test and using an LCR meter to perform a package integrity test.

[0064] In this embodiment, the specific preparation process of the sensor is as follows:

[0065] The interdigitated gold electrodes were fixed to the PET substrate for lead packaging. The interdigitated gold electrodes used had a line width of 100 μm, a line spacing of 100 μm, 20 pairs of interdigits, and an electrode size of 20 mm*10 mm. Then, the conductive silver paste was used to connect the wires and the electrode lead-out area and cured at room temperature for 1 day. After curing, a multimeter was used to test the interdigitated electrodes after the lead. The resistance of the single electrode on both sides was about 0.6 Ω, proving that the lead was connected and no circuit breakage occurred. The lead was successful. Then, PDMS and curing agent were mixed in a mass ratio of 10:1, heated at 50 °C for 15 min to remove bubbles, poured into a silicone mold, and cured for 1 day to obtain a PDMS sheet. The PDMS sheet was cut into a size suitable for the conductive part of the sensor, and the edge was repaired using liquid PDMS prepared by the same method. After curing at room temperature for 1 day, the encapsulation was completed. Finally, the impedance value and phase of the sensor immersed in artificial seawater were measured by sweeping frequency using an LCR meter. As the frequency increased, the impedance value gradually decreased and tended to be stable, and the phase value first remained stable and then gradually increased, proving that the sensor lead was packaged successfully and no short circuit occurred. The preparation of the sensor was completed.

[0066] In this embodiment, the AD5933 chip can be used as an impedance measurement unit. The AD5933 chip is provided with a frequency generator, a 12-bit, 1MSPS analog-to-digital converter (ADC), and a digital signal processor (DSP). The frequency generator can generate a measurement signal of a specific frequency to excite the external complex impedance. The external complex impedance will generate a response signal under the excitation of the measurement signal. The analog-to-digital converter in the AD5933 chip samples the response signal, and then the digital signal processor performs discrete Fourier transform (DFT) processing. The DFT algorithm returns a real part (R) data word and an imaginary part (I) data word at each frequency, so that the modulus and phase value information of the impedance value of the external complex impedance can be detected.

[0067] When using a system for treating marine microbial fouling, the sensor is placed in the marine water body so that the organisms in the marine water body have the opportunity to attach to the sensor, thereby changing the impedance value of the sensor. The impedance measurement unit sends a measurement signal to the sensor through a wire. The sensor, as an external complex impedance, generates a response signal under the stimulation of the measurement signal and is collected by the impedance measurement unit, and the impedance value is calculated. Since the impedance value of the sensor is affected by the attachment condition of the attached organisms, the attachment condition information can be determined by analyzing the impedance value of the sensor. Among them, the attachment condition information represents the attachment condition of the attached organisms to the sensor, including the type and quantity of the attached organisms attached to the sensor.

[0068] In this embodiment, the control module also controls the sensor to drive away the attached organisms according to the attachment information. By driving away the attached organisms, the attached organisms that have already attached to the sensor can be made to leave the sensor, and the attached organisms that have not yet attached to the sensor can be made not to attach to the sensor, thereby keeping the sensor clean and maintaining the sensing performance of the sensor.

[0069] The system for treating marine microbial fouling in this embodiment can directly monitor attached organisms such as microorganisms in the marine environment without the need for sampling and preparation for testing, thereby achieving on-site monitoring; it can realize intelligent perception based on the attachment information, thereby promptly initiating the expulsion program, effectively preventing the attachment and growth of attached organisms, and providing a more comprehensive and reliable technical means for the perception and expulsion of early microbial fouling.

[0070] In this embodiment, when the control module executes the step of outputting the measurement signal to the sensor, the control module may specifically execute the following steps:

[0071] S101 outputs a sweep signal to the sensor;

[0072] S102. Determine the cell index corresponding to each of the multiple frequencies according to the response of the sensor to the frequency sweep signal;

[0073] S103. Determine the sensitive measurement frequency according to each cell index;

[0074] S104. Output a measurement signal having a frequency equal to the sensitive measurement frequency to the sensor.

[0075] When executing step S101, the control module runs a frequency sweep function program, which generates a frequency sweep signal with an alternating voltage of 0.01V and a frequency distribution in the measurement frequency range of 4Hz-8MHz, and collects the response signal generated by the sensor under the excitation of the frequency sweep signal at each frequency, and analyzes the response signal to obtain the impedance value at the corresponding frequency. Since the frequency sweep signal is distributed at multiple frequencies within the measurement frequency range, in step S102, the control module can obtain the impedance values ​​corresponding to the multiple frequencies according to the response of the sensor to the frequency sweep signal.

[0076] In this embodiment, the absolute value of the impedance change caused by the cell attachment sensor is larger at low frequencies and smaller at high frequencies, but this absolute difference does not mean that the sensor is more sensitive to cell attachment at low frequencies. This is because the impedance of the sensor has a frequency-dependent characteristic, such as Figure 3 As shown, when the same object is detected with measurement signals of different frequencies, the measured impedances are quite different. Therefore, when executing step S102 in this embodiment, the absolute value of the impedance change is not used to represent the sensitivity of cell attachment, but the relative impedance change at a fixed frequency is used to represent the sensitivity of cell attachment.

[0077] Specifically, in this embodiment, when executing step S102, the dimensionless unit of cell index (CI) is used to report the impedance of electron flow caused by adherent cells. Specifically, the calculation formula of cell index is:

[0078]

[0079] Where CI f is the cell index detected by the frequency sweep signal of frequency f, the cell-free impedance value is the impedance value detected by the signal of frequency f when there are no organisms attached to the sensor, and the nominal impedance value can use the nominal impedance value of the sensor, which is generally a fixed value. Since f has multiple values, executing step S102 can detect the cell indexes corresponding to multiple frequencies.

[0080] In this embodiment, taking the triangular algae as an example of attached organisms, the sweep frequency results of the triangular algae before and after attachment to the sensor surface were measured (the frequency range of the sweep frequency signal was 100 Hz-30 kHz), and the impedance measurement results were normalized using the cell index CI. The obtained cell index is as follows: Figure 4 shown.

[0081] Reference Figure 4 , CI f It can be expressed in the form of a cell index-frequency curve, where the horizontal axis is the frequency and the vertical axis is the cell index. In step S103, the control module can calculate the slope of each point on the cell index-frequency curve, and filter out the maximum value of all the calculated slopes, thereby obtaining the maximum slope point on the cell index-frequency curve. The maximum slope point represents the point where the cell index changes most dramatically with frequency, and the frequency corresponding to the maximum slope point is used as the sensitive measurement frequency.

[0082] In this embodiment, when the attached organisms on the sensor surface are triangular shaped algae, such as Figure 4 As shown, the corresponding sensitive measurement frequency is 1214.2 Hz.

[0083] After executing step S103 to determine that the sensitive measurement frequency is 1214.2 Hz, in step S104, the control module generates a measurement signal with a frequency equal to the sensitive measurement frequency, that is, 1214.2 Hz, sends the measurement signal to the sensor, and collects a response signal generated by the sensor under the stimulation of the measurement signal.

[0084] In this embodiment, since the frequency of the measurement signal is equal to the sensitive measurement frequency, and the sensitive measurement frequency is the position where the cell index changes most dramatically due to changes in frequency, sending such a measurement signal to the sensor is conducive to obtaining a more sensitive response of the sensor, thereby obtaining a higher detection sensitivity for attached organisms.

[0085] In this embodiment, when the control module performs the step of determining the attachment information of the attached organisms on the sensor surface, the control module may specifically perform the following steps:

[0086] S201A. According to the response of the sensor to the measurement signal at any first moment, determining the impedance value detected by the sensor at the first moment;

[0087] S202A. According to the impedance value detected at the first moment, determining the number of organisms attached to the sensor surface at the first moment;

[0088] S203A. Use the quantity information as the attachment status information.

[0089] Steps S201A to S203A are steps for detecting the amount information of the attached organisms on the sensor.

[0090] In step S201A, it is assumed that the control module sends a measurement signal to the sensor at any first moment and collects a response signal generated by the sensor, and determines the impedance value of the sensor by analyzing the response signal. Then in step S202A, the control module can determine the number of attached organisms on the sensor at the first moment based on the impedance value of the sensor at the first moment, according to the correspondence between the impedance value of the sensor and the number of attached organisms on the sensor, by looking up a table or calculating a formula.

[0091] In this embodiment, the principles of steps S201A-S203A are: Figure 5 and Figure 6 The corresponding relationship between the impedance value and the biofilm formation on the sensor surface was explored; Figure 5 The sensor surface attachment under a metallographic microscope is shown. It can be seen that the sensor surface has obvious microalgae attachment, with gray areas appearing locally. The gray areas become denser and denser over time at 72 hours, indicating that the number of microalgae attached has increased, showing a clustered state and forming a biofilm. Under a high-power microscope, spindle-shaped substances can also be seen, which are consistent with the shape of triangular brown algae, which also indicates the attachment of microorganisms. Figure 6The image shows the attachment of the sensor surface under a laser confocal microscope. The fluorescence image shows that the triangular brown algae has obviously attached to the interdigital fingers of the sensor. After magnification, the fluorescence shape is spindle-shaped, which is consistent with the results of the metallographic microscope image, indicating the attachment of microalgae. The fluorescence image can be used as a basis for determining the number of microorganisms attached. The area of ​​the fluorescent part in the image can be calculated by ImageJ software. The biofilm coverage on the sensor surface is calculated based on the fluorescence area, which represents the number of organisms attached to the sensor surface. By measuring the coverage after 20min, 40min, 60min, 90min, 120min, 180min, and 240min of attachment, it is matched with the impedance value measured at the corresponding time, as shown in the figure. Figure 7 A linear fit was performed as shown to obtain the correlation results. The fitted curve was y=0.19x+150.34, R2=0.99626, indicating that the coverage rate and the impedance value change trend were highly consistent. The impedance value can be used as an indicator to monitor the formation of biofilms. At the same time, the coverage rate can be calculated by the impedance value to determine the biofilm formation situation.

[0092] Figure 7 The horizontal axis is the biofilm coverage rate on the sensor surface (Coverage Rate), and the vertical axis is the impedance value (Impedance) of the sensor. Figure 7 Each point in the figure is the correspondence between the measured biofilm coverage and the impedance value, and the red straight line is the fitted straight line. Figure 7 It can be seen that there is a definite corresponding relationship between the impedance value of the sensor and the coverage rate of the attached organisms on the sensor, and this relationship is generally a linear relationship, and there is also a linear relationship between the coverage rate and the number of attached organisms. Therefore, there is generally a definite linear relationship between the impedance value of the sensor and the number of attached organisms on the sensor. Therefore, by executing steps S201A-S203A, the number information of the attached organisms on the sensor surface at the first moment can be determined. Since the first moment is an arbitrary moment, the number information of the attached organisms on the sensor surface at any moment can be obtained by executing steps S201A-S203A.

[0093] In this embodiment, when the control module performs the step of determining the attachment information of the attached organisms on the sensor surface, the control module may specifically perform the following steps:

[0094] S201B. Determine multiple impedance values ​​detected by the sensor at multiple times, respectively, based on the response of the sensor to the measurement signal at multiple times;

[0095] S202B generates an impedance value-time curve according to multiple impedance values ​​detected at multiple times;

[0096] S203B obtains the curve characteristic information of the impedance value-time curve;

[0097] S204B. Determine the type of biological attachment to the sensor surface based on the curve characteristic information;

[0098] S205B. Use the type information as the attachment status information.

[0099] Steps S201B to S205B are steps for detecting the type information of the attached organisms on the sensor.

[0100] In step S201B, according to the principle of steps S201A-S203A, the impedance value of the sensor at any time can be obtained. In step S202B, a coordinate system is established with the detection time as the horizontal axis and the impedance value modulus as the vertical axis, and each impedance value detected in step S201B is determined at a point in the coordinate system according to the detection time, so that an impedance value-time curve can be obtained.

[0101] For example, in this embodiment, the water body where the sensor is installed contains triangular brown algae, the alternating voltage of the measurement signal is set to 0.01V, the frequency is 1214.2Hz, the measurement signal is sent to the sensor every 180s and the response signal of the sensor is sampled, the real-time impedance value of 24h and 48h is continuously monitored, and the impedance value-time curve is obtained as shown in Figure 8 See Figure 8 The impedance values ​​after immersion for 24h and 48h showed the same change trend. The impedance value-time curve can be divided into three stages. The first 200min is a rapid growth period, and the impedance value increases exponentially. 200min-900min is a stable period, and the impedance value does not change much. After 900min, it is a decay period, and the impedance value gradually decreases.

[0102] In step S203B, the peak value, maximum slope, length of the rapid growth period, length of the stable period and decay period of the impedance value-time curve can be obtained. In steps S204B-S205B, the type information of the attached organisms on the sensor surface is determined according to the curve characteristic information obtained in step S203B, that is, the type of organisms attached to the sensor surface is judged according to the curve characteristic information. Specifically, the type information of the attached organisms determined according to the curve characteristic information may indicate that there is one attached organism on the sensor surface, or it may indicate that there are multiple attached organisms on the sensor surface. In the case where there are multiple attached organisms on the sensor surface, the number of species of organisms attached to the sensor surface is different, the type of organisms attached to the sensor surface is different, and the type of organisms attached to the sensor surface is the same but the number ratio is different, which can be regarded as different type information.

[0103] In this embodiment, the principle of executing steps S201B-S205B is that due to the different factors such as the volume, reproductive capacity and activity level of different types of attached organisms, different types of information of organisms attached to the sensor surface will lead to different curve characteristic information of the impedance value-time curve. For example, Figure 8 In the impedance value-time curve shown, the length of the rapid growth period is 80 minutes, and the length of the stable period is 145 minutes. These curve characteristic information is the curve characteristic information corresponding to the attached organism such as triangular brown finger algae, so it can be based on Figure 8 The curve characteristic information of the impedance value-time curve in the sensor was used to determine that the attached organism on the sensor was Phaeophyta triangularis.

[0104] In this embodiment, when the control module performs the step of determining the attachment information of the attached organisms on the sensor surface, the control module may specifically perform the following steps:

[0105] S201C outputs a sweep signal to the sensor;

[0106] S202C. Determine the cell index corresponding to each of the multiple frequencies according to the response of the sensor to the sweep signal;

[0107] S203C. Determine the sensitive measurement frequency according to each cell index;

[0108] S204C. Determine the type of organisms attached to the sensor surface according to the sensitive measurement frequency;

[0109] S205C. Use the type information as the attachment status information.

[0110] Steps S201C to S205C are steps for detecting the type information of the attached organisms on the sensor.

[0111] The principles of steps S201C-S203C are the same as those of steps S101-S103.

[0112] In steps S204C-S205C, the control module can determine the type information of the attached organisms on the sensor surface according to the magnitude of the sensitive measurement frequency, such as which type or types of attached organisms are attached to the sensor surface, and the quantity ratio of the attached organisms.

[0113] In this embodiment, similar to the principle of executing steps S201B-S205B, in steps S204C-S205C, the sensitive measurement frequency is also affected by the biological characteristics of the attached organisms, and thus has a corresponding relationship with the attached organisms. Therefore, in steps S204C-S205C, the type information of the attached organisms can be determined based on the detected sensitive measurement frequency.

[0114] In this embodiment, the correspondence between the type information of different attached organisms, the curve characteristic information, and the sensitive measurement frequency can be stored in the control module in the form of a data table, etc., so that the control module can determine the type information of the attached organisms on the sensor by looking up a table, etc. when executing steps S204B and S204C.

[0115] In this embodiment, when the control module executes the step of controlling the sensor to drive away the attached organisms according to the attachment situation information, the control module may specifically execute the following steps:

[0116] S301. Detection trigger signal;

[0117] S302. When a trigger signal is detected, the discharge frequency, discharge voltage and discharge duration are determined according to the attachment information;

[0118] S303. Apply an electrical signal to the sensor according to the discharge frequency, discharge voltage and discharge duration.

[0119] In this embodiment, assuming that the control module executes step S301 at the first time t1, the control module may perform the step S301 at the second time t1, which is the sampling time before the first time. 1-1 The sensor detects that at the second moment t 1-1 The impedance value I t-1 , and detect the impedance value I of the sensor at the first moment t1 t The control module calculates the impedance value I t Relative to the impedance value I t-1 The impedance change value |I t -i t-1 |, if it is less than the threshold, that is, |i t -I t-1 |<threshold, then the control module can determine that the trigger signal is detected at the first moment t1, and steps S302-S303 can be executed simultaneously. Otherwise, steps S302-S303 will not be triggered at the first moment t1, and the judgment will continue at the next sampling moment after the first moment.

[0120] In this embodiment, by determining the impedance value I at the first moment t1 t The change in impedance value relative to the previous moment determines whether to execute the voltage application function program for electrical expulsion. The principle is: t -I t-1 |<threshold value, indicating that the impedance value I of the sensor at the first moment t1 t Relative to the second moment t 1-1 The impedance value I t-1The change is small, so it can be determined that the impedance value of the sensor tends to be stable, and the biofilm of the attached organisms on the sensor has been formed. At this time, performing electrical expulsion can achieve a better expulsion effect, so the voltage application function program is triggered.

[0121] In this embodiment, when executing step S302, the control module can determine the discharge frequency, discharge voltage and discharge duration based on the attachment status information, such as the quantity information obtained by executing steps S201A-S203A, or the type information obtained by executing steps S201B-S205B or S201C-S205C. In step S303, an electrical signal is applied to the sensor according to the discharge frequency, discharge voltage and discharge duration.

[0122] In this embodiment, the correspondence between the attachment information of different attached organisms and the discharge frequency, discharge voltage and discharge duration can be stored in the control module in the form of a data table, etc., so that when the control module executes step S302, it can determine the discharge frequency, discharge voltage and discharge duration of the electrical signal by looking up a table, etc.

[0123] For example, in this embodiment, when the attachment situation information indicates that the type of attached organism is Pseudomonas triangularis, the discharge frequency can be set to 808.8 Hz, the discharge voltage to 1.6 V, and the discharge time to 4 min. Thus, when executing step S303, the control module outputs an electrical signal with a frequency of 808.8 Hz and a voltage of 1.6 V to the sensor, and the output continues for 4 min.

[0124] In this embodiment, the principle of executing steps S301-S303 is that different types and numbers of attached organisms generally have different tolerance levels to the frequency, voltage and duration of electrical signals. Executing steps S301-S303 can select appropriate electrical signals for electrical expulsion of specific types and numbers of attached organisms, thereby facilitating obtaining good expulsion effects.

[0125] In this embodiment, the control module can perform self-learning of the discharge frequency, discharge voltage and discharge duration. For example, a fixed discharge frequency, a fixed discharge voltage and a fixed discharge duration can be set as the initial value for the control module, and the control module outputs an electrical signal to the sensor with the initial value, and tracks and detects the change of the impedance value of the sensor in the current unit time; in the next unit time, the control module adjusts the initial value according to the change of the impedance value, outputs an electrical signal to the sensor with the adjusted electrical signal, and tracks and detects the change of the impedance value of the sensor in the current unit time... Through the above process, until the change of the impedance value of the sensor in the unit time reaches the negative maximum value or tends to be unchanged, the control module saves the corresponding relationship between the discharge frequency, discharge voltage and discharge duration parameters at this time and the attachment information of the attached organisms, and reads the corresponding discharge frequency, discharge voltage and discharge duration parameters when the same attachment information is detected next time for electrical expulsion. Through self-learning, the system for marine microbial fouling treatment can adapt to attached organisms in different marine water bodies, thereby improving the flexibility of the system for marine microbial fouling treatment.

[0126] It should be noted that, unless otherwise specified, when a feature is referred to as being "fixed" or "connected" to another feature, it may be directly fixed or connected to the other feature, or it may be indirectly fixed or connected to the other feature. In addition, the descriptions of up, down, left, right, etc. used in the present disclosure are only relative to the relative positional relationship of the components of the present disclosure in the accompanying drawings. The singular forms of "a", "" and "the" used in the present disclosure are also intended to include the plural forms, unless the context clearly indicates other meanings. In addition, unless otherwise defined, all technical and scientific terms used in this embodiment have the same meaning as those generally understood by those skilled in the art. The terms used in the specification of this embodiment are only for describing specific embodiments and are not intended to limit the present invention. The term "and / or" used in this embodiment includes any combination of one or more related listed items.

[0127] It should be understood that, although the term first, second, third etc. may be adopted to describe various elements in the present disclosure, these elements should not be limited to these terms. These terms are only used to distinguish the same type of elements from each other. For example, without departing from the scope of the present disclosure, the first element may also be referred to as the second element, and similarly, the second element may also be referred to as the first element. The use of any and all examples or exemplary language ("for example", "such as" etc.) provided by the present embodiment is only intended to better illustrate embodiments of the present invention, and unless otherwise required, the scope of the present invention will not be limited.

[0128] It should be appreciated that embodiments of the present invention may be implemented or enforced by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable memory. The method may be implemented in a computer program using standard programming techniques - including a non-transitory computer-readable storage medium configured with a computer program, wherein the storage medium so configured causes the computer to operate in a specific and predefined manner - according to the methods and drawings described in the specific embodiments. Each program may be implemented in a high-level procedural or object-oriented programming language to communicate with a computer system. However, if desired, the program may be implemented in assembly or machine language. In any case, the language may be a compiled or interpreted language. In addition, the program may be run on a programmed dedicated integrated circuit for this purpose.

[0129] In addition, the operations of the process described in this embodiment may be performed in any suitable order, unless otherwise indicated in this embodiment or otherwise clearly contradicted by the context. The process described in this embodiment (or variations and / or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as a code (e.g., executable instructions, one or more computer programs, or one or more applications) executed on one or more processors in common, by hardware or a combination thereof. A computer program includes a plurality of instructions that may be executed by one or more processors.

[0130] Further, the method can be implemented in any type of computing platform that is operably connected to a suitable computer, including but not limited to a personal computer, a minicomputer, a mainframe, a workstation, a network or distributed computing environment, a separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, etc. Various aspects of the present invention can be implemented in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, an optical read and / or write storage medium, a RAM, a ROM, etc., so that it can be read by a programmable computer, and when the storage medium or device is read by the computer, it can be used to configure and operate the computer to perform the process described herein. In addition, the machine-readable code, or part thereof, can be transmitted via a wired or wireless network. When such media includes instructions or programs that implement the above steps in conjunction with a microprocessor or other data processor, the invention of this embodiment includes these and other different types of non-transitory computer-readable storage media. When programmed according to the methods and techniques of the present invention, the present invention also includes the computer itself.

[0131] The computer program can be applied to input data to perform the functions of the present embodiment, thereby converting the input data to generate output data stored in a non-volatile memory. The output information can also be applied to one or more output devices such as a display. In a preferred embodiment of the present invention, the converted data represents a physical and tangible object, including a specific visual depiction of the physical and tangible object produced on the display.

[0132] The above are only preferred embodiments of the present invention. The present invention is not limited to the above embodiments. As long as the technical effects of the present invention are achieved by the same means, any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the scope of protection of the present invention. Within the scope of protection of the present invention, its technical solutions and / or implementation methods may have various modifications and changes.

Claims

1. A system for treating marine microbial fouling, characterized in that: The system for treating marine microbial fouling comprises: Sensor; the sensor is used to be placed in an ocean water body; A control module; the control module is connected to the sensor, and the control module is used to output a measurement signal to the sensor, determine the attachment status information of the attached organisms on the sensor surface according to the sensor's response to the measurement signal, and control the sensor to expel the attached organisms according to the attachment status information.

2. The system for treating marine microbial fouling according to claim 1, characterized in that: The sensor includes interdigitated electrodes.

3. The system for treating marine microbial fouling according to claim 1, characterized in that: The step of outputting a measurement signal to the sensor comprises: Outputting a frequency sweep signal to the sensor; the frequency sweep signal is distributed over a plurality of frequencies; Determining cell indexes corresponding to respective frequencies according to the response of the sensor to the frequency sweep signal; Determining a sensitive measurement frequency according to each of the cell indices; A measurement signal having a frequency equal to the sensitive measurement frequency is output to the sensor.

4. The system for treating marine microbial fouling according to claim 3, characterized in that: Determining the cell index corresponding to each of the multiple frequencies according to the response of the sensor to the frequency sweep signal includes: Determining impedance values ​​corresponding to each of the plurality of frequencies detected by the sensor according to a response of the sensor to the frequency sweep signal; Acquiring a cell-free impedance value and a nominal impedance value; the cell-free impedance value is an impedance value detected when there are no organisms attached to the sensor; For any frequency, the cell index corresponding to the frequency is determined according to the cell-free impedance value, the nominal impedance value and the impedance value corresponding to the frequency.

5. The system for treating marine microbial fouling according to claim 3, characterized in that: Determining the sensitive measurement frequency according to each of the cell indexes comprises: According to each of the cell indexes, a cell index-frequency curve is generated; Determining the maximum slope point on the cell index-frequency curve; The frequency corresponding to the maximum slope point is used as the sensitive measurement frequency.

6. The system for treating marine microbial fouling according to claim 1, characterized in that: The step of determining the attachment information of the attached organisms on the sensor surface includes: Determining an impedance value detected by the sensor at any first moment according to a response of the sensor to the measurement signal at the first moment; Determining the quantity information of the organisms attached to the surface of the sensor at the first moment according to the impedance value detected at the first moment; The quantity information is used as the attachment condition information.

7. The system for treating marine microbial fouling according to claim 1, characterized in that: The step of determining the attachment information of the attached organisms on the sensor surface includes: Determining a plurality of impedance values ​​detected by the sensor at the plurality of moments, respectively, according to responses of the sensor to the measurement signal at the plurality of moments; Generate an impedance value-time curve according to a plurality of impedance values ​​detected at a plurality of moments; Acquiring curve characteristic information of the impedance value-time curve; Determining the type information of the organisms attached to the sensor surface according to the curve characteristic information; The type information is used as the attachment condition information.

8. The system for treating marine microbial fouling according to claim 1, characterized in that: The step of determining the attachment information of the attached organisms on the sensor surface includes: Outputting a frequency sweep signal to the sensor; the frequency sweep signal is distributed over a plurality of frequencies; Determining cell indexes corresponding to respective frequencies according to the response of the sensor to the frequency sweep signal; Determining a sensitive measurement frequency according to each of the cell indices; Determining the type information of the organisms attached to the sensor surface according to the sensitive measurement frequency; The type information is used as the attachment condition information.

9. The system for treating marine microbial fouling according to any one of claims 1 to 8, characterized in that: The step of controlling the sensor to drive away attached organisms according to the attachment condition information includes: Detecting trigger signals; When the trigger signal is detected, a discharge frequency, a discharge voltage and a discharge duration are determined according to the attachment condition information; An electrical signal is applied to the sensor according to the discharge frequency, discharge voltage and discharge duration.

10. The system for treating marine microbial fouling according to claim 9, characterized in that: The detection trigger signal comprises: Determining an impedance value detected by the sensor at any first moment according to a response of the sensor to the measurement signal at the first moment; determining the impedance value detected by the sensor at a second moment according to a response of the sensor to the measurement signal at the second moment; the second moment being a moment before the first moment; Determine an impedance change value of the impedance value detected by the sensor at the first moment relative to the impedance value detected at the second moment; When the absolute value of the impedance change value is smaller than a threshold, it is determined that the trigger signal is detected at the first moment.

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