A water quality detection system and method based on conductivity prediction

Abstract

The application discloses a water quality detection system and method based on conductivity prediction, and belongs to the technical field of water analysis. The system comprises: a turbidity detection module for detecting the turbidity of a water sample to be measured; a conductivity detection module for detecting the conductivity of the water sample to be measured under the condition that the turbidity of the water sample to be measured is less than or equal to a first threshold value; a control module for determining a first sampling strategy of the water sample to be measured based on the conductivity of the water sample to be measured, and inputting the water sample to be measured into a water quality detection module based on the first sampling strategy; and the water quality detection module for analyzing and detecting the water sample to be measured to obtain a water quality detection result. The application can reduce invalid analysis time and improve the accuracy of water sample detection, thereby improving the detection efficiency of the system water sample, by monitoring the turbidity and conductivity of the water sample, performing the analysis and detection process of the water sample only when the turbidity of the water sample meets the requirements, and flexibly determining the sampling strategy according to the conductivity of the water sample.

Description

Technical Field

[0001] This invention belongs to the field of water analysis technology, specifically relating to a water quality detection system and method based on conductivity prediction. Background Technology

[0002] Water quality testing is a crucial step in environmental protection, industrial process control, and drinking water safety monitoring. Typically, water quality testing involves multiple steps, including filtration, dilution, and sample introduction. Testing personnel must dynamically adjust the testing steps and parameters in real time based on the ion detection results of the water sample.

[0003] As a result, water quality testing relies on manual operation, leading to problems such as low efficiency and large subjective errors. Summary of the Invention

[0004] In order to overcome the shortcomings of the prior art, the present invention aims to provide a water quality detection system and method based on conductivity prediction, so as to solve the problems of low efficiency and large subjective error in water quality detection.

[0005] To achieve the above objectives, the present invention employs the following technical solution: In a first aspect, the present invention provides a water quality detection system based on conductivity prediction. The system includes: a turbidity detection module, a conductivity detection module, a water quality detection module, and a control module. The turbidity detection module, conductivity detection module, and water quality detection module are sequentially connected via a sample inlet pipe, and all three modules are electrically connected to the control module. The sample inlet pipe is used to connect to a water sample to be tested. The turbidity detection module is used to detect the turbidity of the water sample to be tested. The conductivity detection module is used to detect the conductivity of the water sample to be tested when the turbidity is less than or equal to a first threshold. The control module is used to determine a first sample inlet strategy for the water sample to be tested based on its conductivity, and input the water sample to be tested into the water quality detection module based on the first sample inlet strategy. The water quality detection module is used to analyze and detect the water sample to be tested to obtain water quality detection results.

[0006] In conjunction with the first aspect, in one possible implementation, the system further includes: a filtration module, one end of which is connected to the turbidity detection module via a sample inlet pipe, and the other end of which is connected to the conductivity detection module via a sample inlet pipe; the filtration module is used to filter the water sample to be tested when the turbidity of the water sample to be tested is greater than a first threshold, and to transport the filtered water sample to be tested to the conductivity detection module; the conductivity detection module is also used to detect the conductivity of the filtered water sample to be tested.

[0007] In combination with the first aspect and the above possible implementations, in one possible implementation, the control module is specifically used to: obtain the predicted concentration of the target ion based on the conductivity of the water sample to be tested, and determine a first injection strategy based on the predicted concentration, wherein the first injection strategy includes at least one of the following: the dilution factor of the water sample to be tested, and the injection volume of the water sample to be tested.

[0008] In conjunction with the first aspect and the above possible implementations, in one possible implementation, the system further includes: a dilution module and a quantitative loop selection module. One end of the dilution module is connected to the conductivity detection module via an injection pipe, and the other end of the dilution module is connected to one end of the quantitative loop selection module via an injection pipe. The other end of the quantitative loop selection module is connected to the water quality detection module via an injection pipe, and both the dilution module and the quantitative loop selection module are electrically connected to the control module. The dilution module is used to dilute the water sample to be tested according to the dilution factor when the first injection strategy determined by the control module includes the dilution factor of the water sample to be tested. The quantitative loop selection module is used to select the corresponding quantitative loop for injection according to the injection volume when the first injection strategy determined by the control module includes the injection volume of the water sample to be tested.

[0009] In conjunction with the first aspect and the above possible implementations, in one possible implementation, the control module is further configured to monitor the signal value output by the water quality detection module within a target time period during the analysis and detection of the water sample by the water quality detection module, and control the water quality detection module to stop analysis and detection when the signal value is greater than a second threshold, determine a second sampling strategy, and input the water sample to be tested into the water quality detection module based on the second sampling strategy; wherein, the target time period is a preset detection time window corresponding to the target ion.

[0010] A second aspect of the present invention provides a water quality detection method based on conductivity prediction, applied to a water quality detection system based on conductivity prediction as described in the first aspect. The method includes: collecting a water sample to be tested through a sample inlet pipe of the water quality detection system based on conductivity prediction; detecting the turbidity of the water sample to be tested through a turbidity detection module of the water quality detection system based on conductivity prediction; detecting the conductivity of the water sample to be tested through the conductivity detection module of the water quality detection system based on conductivity prediction, provided that the turbidity of the water sample to be tested is less than or equal to a first threshold; determining a first sampling strategy for the water sample to be tested based on the conductivity of the water sample to be tested through a control module of the water quality detection system based on conductivity prediction, and inputting the water sample to be tested into the water quality detection module based on the first sampling strategy; and analyzing and detecting the water sample to be tested through the water quality detection module of the water quality detection system based on conductivity prediction to obtain a water quality detection result.

[0011] In conjunction with the second aspect, in one possible implementation, after detecting the turbidity of the water sample to be tested, the method further includes: filtering the water sample to be tested through the filtration module of the water quality detection system based on conductivity prediction when the turbidity of the water sample to be tested is greater than a first threshold, and conveying the filtered water sample to the conductivity detection module; and detecting the conductivity of the filtered water sample to be tested through the conductivity detection module.

[0012] In conjunction with the second aspect and the above possible implementations, in another possible implementation, the control module of the water quality detection system based on conductivity prediction determines the first injection strategy of the water sample to be tested based on the conductivity of the water sample to be tested, including: obtaining the predicted concentration of the target ion based on the conductivity of the water sample to be tested through the control module, and determining the first injection strategy based on the predicted concentration, wherein the first injection strategy includes at least one of the following: the dilution factor of the water sample to be tested, and the injection volume of the water sample to be tested.

[0013] In combination with the second aspect and the above possible implementations, in another possible implementation, the dilution module of the water quality detection system based on conductivity prediction dilutes the water sample according to the dilution factor when the first injection strategy determined by the control module includes the dilution factor of the water sample to be tested; and the quantitative loop selection module of the water quality detection system based on conductivity prediction selects the corresponding quantitative loop for injection according to the injection volume when the first injection strategy determined by the control module includes the injection volume of the water sample to be tested.

[0014] Combining the second aspect and the above possible implementations, in another possible implementation, the control module monitors the signal value output by the water quality detection module during the analysis and detection of the water sample by the water quality detection module within a target time period. If the signal value is greater than a second threshold, the control module stops the analysis and detection, determines a second sampling strategy, and inputs the water sample to be tested into the water quality detection module based on the second sampling strategy. The target time period is the preset detection time window corresponding to the target ion.

[0015] A third aspect of the present invention provides an electronic device including a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions, when executed by the processor, implementing the steps of the water quality detection method based on conductivity prediction as described in the second aspect and possible implementations thereof.

[0016] A fourth aspect of the present invention provides a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the water quality detection method based on conductivity prediction as described in the second aspect and possible implementations thereof.

[0017] Compared with the prior art, the present invention has the following beneficial effects: by monitoring the turbidity and conductivity of the water sample, the water sample analysis and detection process is only carried out when the turbidity of the water sample meets the requirements. Furthermore, the sampling strategy can be flexibly determined according to the conductivity of the water sample, thus reducing the invalid analysis time, improving the accuracy of water sample detection, and thereby improving the system's water sample detection efficiency. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is one of the structural schematic diagrams of a water quality detection system based on conductivity prediction provided by the present invention; Figure 2 This is the second schematic diagram of a water quality detection system based on conductivity prediction provided by the present invention. Figure 3 This is the third schematic diagram of a water quality detection system based on conductivity prediction provided by the present invention. Figure 4 This is one of the flowcharts for a water quality detection method based on conductivity prediction provided by the present invention; Figure 5 The fourth schematic diagram of a water quality detection system based on conductivity prediction provided by the present invention; Figure 6 The second flowchart of a water quality detection method based on conductivity prediction provided by the present invention. Detailed Implementation

[0020] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0021] In the description of this invention, it should be understood that the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0022] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0023] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Additionally, the character " / " in this invention generally indicates that the preceding and following objects have an "or" relationship.

[0024] It should be understood that although terms such as first, second, third, etc., may be used in the embodiments of the present invention to describe the preset range, these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from one another. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0025] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0026] The accompanying drawings illustrate various structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0027] The following detailed description, in conjunction with the accompanying drawings, of a water quality detection system and method based on conductivity prediction provided by the present invention through specific embodiments and application scenarios, will illustrate this invention in detail.

[0028] The water quality detection system and method based on conductivity prediction provided by this invention can be applied to water analysis scenarios, especially online water quality monitoring and automated control scenarios.

[0029] Water quality analysis is a crucial component of environmental protection, industrial process control, and drinking water safety monitoring. Among these methods, ion chromatography has become the preferred technique for detecting anions (such as fluoride) in water quality due to its advantages, including the ability to simultaneously detect multiple cations and anions, high sensitivity, and good selectivity. - Cl - SO4 2- NO3 - (etc.) and cations (such as Na) + NH4 + K + Mg 2+ Ca 2+ Water quality analysis is one of the main methods of analysis. However, in the traditional water quality analysis process, steps such as filtration, dilution, and sample introduction rely heavily on manual operation, which has problems such as low efficiency, large subjective error, and difficulty in responding to water quality fluctuations in real time.

[0030] To address the problems in traditional water quality analysis and testing, existing technologies have gradually developed automated sampling, filtration, and dilution systems. However, these processes are typically fixed and cannot be dynamically adjusted based on the actual properties of the water sample. For example, when the conductivity of the water sample is not constant, a fixed dilution factor cannot meet the testing requirements. A dilution factor that is too low can easily cause the analytical instrument to exceed its range or become contaminated; a dilution factor that is too high will result in insufficient detection sensitivity. Therefore, manual judgment and appropriate pretreatment are still required.

[0031] More importantly, for water samples with high conductivity (such as raw water, industrial wastewater, and seawater), there are often both high concentrations of ions and low concentrations of trace ions. Therefore, a single dilution cannot achieve accurate measurement of both simultaneously: if the dilution factor is too high, although high concentration ions can be measured, low concentration ions are diluted below the detection limit and cannot produce a peak; if the dilution factor is too low, although low concentration ions can be measured, high concentration ions exceed the measurement range and may even damage the instrument.

[0032] Figure 1 This is a schematic diagram of a water quality detection system based on conductivity prediction provided by the present invention. The water quality detection system 10 based on conductivity prediction may include: a turbidity detection module 11, a conductivity detection module 12, a water quality detection module 13, and a control module 14.

[0033] The turbidity detection module 11, conductivity detection module 12 and water quality detection module 13 can be connected sequentially through a sample inlet pipe, and all three modules are electrically connected to the control module 14. The sample inlet pipe is used to connect the water sample to be tested.

[0034] In this invention, the turbidity detection module 11 is used to detect the turbidity of the water sample to be tested.

[0035] In some embodiments of the present invention, turbidity may refer to the degree of obstruction of light passing through a solution, which may include the scattering of light by suspended matter and the absorption of light by solute molecules.

[0036] In some embodiments of the present invention, the turbidity detection module 11 may be installed on the sample inlet pipeline for detecting the turbidity of the original water sample.

[0037] In some embodiments of the present invention, the turbidity detection module 11 may include a turbidity detector.

[0038] In this invention, the conductivity detection module 12 can be used to detect the conductivity of the water sample when the turbidity of the water sample is less than or equal to a first threshold.

[0039] In some embodiments of the present invention, the conductivity detection module 12 described above can be installed on the sample inlet pipe for real-time detection of the conductivity of the water sample.

[0040] It should be noted that electrical conductivity is a physical quantity that measures a material's ability to conduct electricity.

[0041] In some embodiments of the present invention, the conductivity detection module 12 may include a conductivity detector.

[0042] In some embodiments of the present invention, the aforementioned first threshold may be a default setting for a water quality detection system based on conductivity prediction, or it may be set by the developers. The present invention does not impose any specific limitations.

[0043] In some embodiments of the present invention, when the water sample to be tested enters the conductivity detection module 12, the conductivity detection module 12 can collect the conductivity and temperature of the water sample in real time, and correct the conductivity to the standard state at the target temperature according to the preset temperature compensation formula to obtain the corrected conductivity.

[0044] The exemplary conductivity detection module 12 corrects the conductivity to a standard state at 25°C.

[0045] In this invention, the control module 14 is used to determine the first sampling strategy of the water sample based on the conductivity of the water sample to be tested, and input the water sample to be tested into the water quality detection module 13 based on the first sampling strategy.

[0046] In some embodiments of the present invention, the control module 14 described above may include a controller.

[0047] In some embodiments of the present invention, the controller can be a conventional device with communication control functions.

[0048] For example, the controller can be a microcontroller, a central processing unit (CUP), a programmable controller (PLC), or a microcontroller unit (MCU).

[0049] In some embodiments of the present invention, the control module 14 described above may be used to: obtain the predicted concentration of the target ion based on the conductivity of the water sample to be tested, and determine the first injection strategy based on the predicted concentration.

[0050] The first injection strategy mentioned above includes at least one of the following: the dilution factor of the water sample to be tested, and the injection volume of the water sample to be tested.

[0051] In some embodiments of the present invention, the target ion can be the ion to be detected in the water sample to be tested.

[0052] For example, the target ion can be F - Cl - Mg 2+ or Ca 2 Plasma.

[0053] In some embodiments of the present invention, the water quality detection system 10 based on conductivity prediction may further include a storage module, which can be used to pre-store instrument operating curve range parameters and conductivity-ion concentration mapping models. Thus, the control module 14 can, based on the conductivity of the water sample to be tested, call the pre-stored conductivity-ion concentration mapping model to calculate the predicted concentrations of the main anions and cations in the water sample. Furthermore, based on the predicted concentrations, a corresponding sampling strategy can be determined.

[0054] In some embodiments of the present invention, combined with Figure 1 ,like Figure 2 As shown, the water quality detection system 10 based on conductivity prediction may further include: a dilution module 15 and a quantitative loop selection module 16.

[0055] One end of the dilution module 15 can be connected to the conductivity detection module 12 through the sample injection pipe, and the other end of the dilution module 15 can be connected to one end of the quantitative loop selection module 16 through the sample injection pipe. The other end of the quantitative loop selection module 16 can be connected to the water quality detection module 13 through the sample injection pipe. Both the dilution module 15 and the quantitative loop selection module 16 are electrically connected to the control module 14.

[0056] In some embodiments of the present invention, the dilution module 15 may include a sample pump, a pure water pump and a mixing chamber, and the flow ratio of the sample pump and the pure water pump is controlled by the control module 14.

[0057] In some embodiments of the present invention, the metering loop selection module 16 may include a multi-metering loop switching valve group, which may include at least two metering loops with significant volume differences.

[0058] For example, the metering loop selection module 16 may include a 25µL metering loop and a 250µL metering loop.

[0059] In some embodiments of the present invention, the dilution module 15 can be used to dilute the water sample to be tested according to the dilution factor when the first sampling strategy determined by the control module 14 includes the dilution factor of the water sample to be tested.

[0060] In some embodiments of the present invention, the quantitative loop selection module 16 can be used to select the corresponding quantitative loop for injection according to the injection volume when the first injection strategy determined by the control module 14 includes the injection volume of the water sample to be tested.

[0061] In some embodiments of the present invention, the control module 14 can perform quantitative loop selection and initial dilution factor setting based on the predicted concentration of the target ion.

[0062] For example, if the predicted concentration of the target ion is too high, a small volume quantitative loop of 25µL can be selected, and the initial dilution factor can be calculated according to the upper limit of the instrument's working curve range so that the diluted concentration falls into the middle of the effective range; if the predicted concentration of the target ion is too low, a large volume quantitative loop of 100µL can be selected, and a low dilution factor or no dilution can be set.

[0063] In this invention, the water quality detection module 13 can be used to analyze and detect the water sample to be tested, and obtain water quality detection results.

[0064] In some embodiments of the present invention, the above-mentioned water quality detection results may include at least the detection results of the content of target ions.

[0065] In some embodiments of the present invention, the water quality detection module 13 may include an ion chromatography instrument.

[0066] For example, the water quality testing module 13 may include a separation column, a suppressor, and a chromatographic analysis unit.

[0067] The present invention provides a water quality detection system based on conductivity prediction. By monitoring the turbidity and conductivity of water samples, the system only performs water sample analysis and detection when the turbidity of the water sample meets the requirements. Furthermore, it can flexibly determine the sampling strategy based on the conductivity of the water sample, thereby reducing invalid analysis time, improving the accuracy of water sample detection, and thus improving the system's water sample detection efficiency.

[0068] In some embodiments of the present invention, combined with Figure 1 ,like Figure 3 As shown, the water quality detection system 10 based on conductivity prediction may further include a filtration module 17.

[0069] One end of the filter module 17 can be connected to the turbidity detection module 11 through a sample inlet pipe, and the other end of the filter module 17 can be connected to the conductivity detection module 12 through a sample inlet pipe.

[0070] It should be noted that the turbidity detection module 11 and the conductivity detection module 12 can still be directly connected through a bypass sample inlet pipe, so that the water sample to be tested without filtration can flow directly to the conductivity detection module 12.

[0071] In practice, a bypass sampling pipeline may not be required; instead, all water samples to be tested can be filtered directly. This invention does not impose specific limitations on this approach.

[0072] In some embodiments of the present invention, the filtering module 17 described above may include a filtering device.

[0073] For example, the filter module 17 may include a filter membrane with a diameter of 0.45 μm.

[0074] In some embodiments of the present invention, the above-mentioned filtration module 17 can be used to filter the water sample to be tested when the turbidity of the water sample to be tested is greater than a first threshold, and to transport the filtered water sample to be tested to the conductivity detection module 17.

[0075] In some embodiments of the present invention, the conductivity detection module 12 described above can also be used to detect the conductivity of the filtered water sample to be tested.

[0076] In other words, in this invention, the water quality detection system based on conductivity prediction can automatically determine whether filtration is required based on the concentration of the water sample to be tested, that is, it can automatically select a filtration path or a bypass for the water sample to be tested.

[0077] In some embodiments of the present invention, the water sample to be tested can flow into the turbidity detection module 11 under the action of a drive pump, and the turbidity of the water sample can be detected in real time. The control module 14 can compare the turbidity detection value with a preset turbidity threshold (i.e., the first threshold). When the turbidity of the water sample is greater than or equal to the first threshold, the control module 14 can control the solenoid valve to switch to the filtration path, and the water sample enters the next module after being filtered by the filtration module 17; when the turbidity of the water sample is less than the first threshold, the control module 14 can control the solenoid valve to switch to bypass direct flow, and the water sample enters the conductivity detection module directly without filtration.

[0078] In some embodiments of the present invention, the control module 14 can also be used to monitor the signal value output by the water quality detection module 13 within a target time period during the analysis and detection of the water sample by the water quality detection module 13, and control the water quality detection module 13 to stop analysis and detection when the signal value is greater than a second threshold.

[0079] The target time period can be a preset detection time window corresponding to the target ion.

[0080] In some embodiments of the present invention, the control module 14 may also be used to determine a second sampling strategy after the water quality detection module 13 stops analysis and detection, and input the water sample to be tested into the water quality detection module 13 based on the second sampling strategy.

[0081] In some embodiments of the present invention, after the control module 14 completes the water sample dilution and / or quantitative loop loading according to the sampling strategy, the control module 14 can trigger the switching of the injection valve, and the water sample enters the water quality detection module 13 for analysis and detection. During the analysis and detection process, the control module 14 can read the detector signal output by the water quality detection module 13 in real time and determine whether the detector signal exceeds the range within the preset detection time window corresponding to the target ion. If the detector signal continuously exceeds the saturation threshold, the control module 14 can control the water quality detection module 13 to immediately terminate the analysis and detection, start the cleaning process, recalculate the dilution factor of the water sample, and return to re-injection; if there is no over-range, the analysis and detection are completed. That is, the first analysis and detection is completed.

[0082] In some embodiments of the present invention, after the first analysis is completed, the control module 14 can quantitatively determine the trace ion peaks. If all trace ion signals are above the quantification limit, the single data is deemed valid; if some or all trace ion signals are below the quantification limit, the control module 14 can automatically switch to high-sensitivity mode, replace the large quantitative loop and reduce the dilution factor, and re-analyze and detect the water sample. That is, a second analysis and detection.

[0083] It should be noted that trace ions refer to ions with extremely low concentrations in water samples, typically below one part per million (ppm), or even one part per billion (ppb) or lower.

[0084] In some embodiments of the present invention, during the second analysis and detection, the control module 14 can acquire high-sensitivity trace ion data. The control module 14 can merge the constant ion data from the first analysis with the trace ion data from the second analysis to generate a complete water quality test report with a wide range and simultaneous detection of high and low concentrations.

[0085] Thus, the window peak-spot termination mechanism of control module 14 greatly shortens the water sample determination time, reduces invalid analysis time, and improves the testing efficiency of system data.

[0086] In some embodiments of the present invention, the water quality detection system 10 based on conductivity prediction may further include a cleaning module.

[0087] In some embodiments of the present invention, the cleaning module may include a pure water source, a cleaning pump and a solenoid valve, which can be used for pipeline flushing.

[0088] Thus, after the water sample test is completed, the control module 14 can start the cleaning module to rinse the water quality detection system 10 based on conductivity prediction with pure water in sequence, remove residual samples and air bubbles, and the system returns to standby state to wait for the next sample test, thereby improving the accuracy of water sample detection.

[0089] Figure 4 The flowchart illustrates a water quality detection method based on conductivity prediction provided by this invention, applied to the water quality detection system based on conductivity prediction provided by this invention. Figure 4 As shown, the water quality detection method based on conductivity prediction may include steps 401 to 405 as described below.

[0090] Step 401: Collect the water sample to be tested through the inlet pipe of the water quality detection system based on conductivity prediction.

[0091] Step 402: Detect the turbidity of the water sample to be tested using the turbidity detection module of the water quality detection system based on conductivity prediction.

[0092] Step 403: Using the conductivity detection module of the water quality detection system based on conductivity prediction, the conductivity of the water sample to be tested is detected when the turbidity of the water sample is less than or equal to the first threshold.

[0093] Step 404: The control module of the water quality detection system based on conductivity prediction determines the first sampling strategy for the water sample based on the conductivity of the water sample to be tested, and inputs the water sample to be tested into the water quality detection module based on the first sampling strategy.

[0094] Step 405: Analyze and test the water sample to be tested using the water quality detection module of the water quality detection system based on conductivity prediction, and obtain the water quality detection results.

[0095] In some embodiments of the present invention, after step 402 above, the water quality detection method based on conductivity prediction provided by the present invention may further include steps 406 and 407 as described below.

[0096] Step 406: Using the filtration module of the water quality detection system based on conductivity prediction, the water sample to be tested is filtered when the turbidity of the water sample is greater than the first threshold, and the filtered water sample is then transported to the conductivity detection module.

[0097] Step 407: Detect the conductivity of the filtered water sample using the conductivity detection module.

[0098] In some embodiments of the present invention, the step 404 above, "determining the first injection strategy of the water sample to be tested based on the conductivity of the water sample by the control module of the water quality detection system based on conductivity prediction", may specifically include the following step A.

[0099] Step A: The control module obtains the predicted concentration of the target ion based on the conductivity of the water sample to be tested, and determines the first injection strategy based on the predicted concentration.

[0100] The first injection strategy may include at least one of the following: the dilution factor of the water sample to be tested, and the injection volume of the water sample to be tested.

[0101] In some embodiments of the present invention, after step 404 above, the water quality detection method based on conductivity prediction provided by the present invention may further include the following steps 408 and 409.

[0102] Step 408: Using the dilution module of the water quality detection system based on conductivity prediction, and with the first injection strategy determined by the control module including the dilution factor of the water sample to be tested, the water sample to be tested is diluted according to the dilution factor.

[0103] Step 409: Using the quantitative loop selection module of the water quality detection system based on conductivity prediction, if the first injection strategy determined by the control module includes the injection volume of the water sample to be tested, the corresponding quantitative loop is selected for injection according to the injection volume.

[0104] In some embodiments of the present invention, a water quality detection method based on conductivity prediction provided by the present invention may further include the following step 410.

[0105] Step 410: Through the control module, during the analysis and testing of the water sample by the water quality detection module, the signal value output by the water quality detection module is monitored within the target time period, and if the signal value is greater than the second threshold, the water quality detection module is controlled to stop the analysis and testing.

[0106] The target time period is the preset detection time window corresponding to the target ion.

[0107] In some embodiments of the present invention, after step 410 above, the water quality detection method based on conductivity prediction provided by the present invention may further include the following step 411.

[0108] Step 411: Determine the second sampling strategy through the control module, and input the water sample to be tested into the water quality detection module based on the second sampling strategy.

[0109] In some embodiments of the present invention, a detailed description of steps 401 to 411 and step A can be found in the above description. Figures 1 to 3 The relevant descriptions are omitted here to avoid repetition.

[0110] This invention provides a water quality detection method based on conductivity prediction. By monitoring the turbidity and conductivity of water samples, the water sample analysis and detection process is only carried out when the turbidity of the water sample meets the requirements. Furthermore, the sampling strategy can be flexibly determined according to the conductivity of the water sample, thereby reducing the invalid analysis time, improving the accuracy of water sample detection, and thus improving the system's water sample detection efficiency.

[0111] The following specific examples illustrate the water quality detection method based on conductivity prediction provided by the present invention.

[0112] Example 1: with Figure 5 The water quality detection system based on conductivity prediction shown below is an example. Figure 6 The flowchart of the corresponding water quality detection method based on conductivity prediction is shown below. The water quality detection method based on conductivity prediction may include the following steps S11 to S19.

[0113] Step S11: Collect raw water samples. The water samples are tested by a turbidity detection module to obtain the turbidity (Turb).

[0114] Step S12: Make a filtering decision by comparing the turbidity Turb with the first threshold Turb1.

[0115] If Turb is greater than or equal to Turb1, the controller controls the solenoid valve to switch to the filtration path. After the water sample passes through the filtration module (such as a 0.45μm filter membrane) to remove suspended particles, it enters the next stage.

[0116] If Turb is less than Turb1, the controller will switch the solenoid valve to bypass direct flow, and the water sample will not be filtered.

[0117] In some embodiments of the present invention, the aforementioned first threshold Turb1 can be determined by: conducting a tolerance test on the chromatographic column used in the ion chromatograph, measuring the degree of column pressure increase and resolution decrease after continuous injection of water samples of different turbidities, and using the maximum turbidity value corresponding to a column pressure increase of no more than 20% or a resolution decrease of no more than 10% as the first threshold Turb1. Typically, the value range of the first threshold Turb1 can be 0 NTU-10 NTU.

[0118] Step S13: Measure the conductivity of the original water sample.

[0119] Step S14: Correct the measured conductivity Et to 25℃.

[0120] The measured conductivity Et temperature can be corrected to 25℃ using the following formula (1).

[0121] Formula (1) Where α is the temperature compensation coefficient, which can be taken as 0.02 / ℃; Et is the conductivity at the measured temperature; To convert Et to its conductivity at 25°C.

[0122] Then, the detected conductivity value (E) is converted into the predicted concentration (C) of the target ion in the water sample. The pre-stored conductivity-ion concentration mapping model is called to calculate the predicted concentration of the main target ion in the water sample based on the corrected conductivity value.

[0123] Step S15: Execute the initial injection strategy decision based on the predicted concentration.

[0124] The initial injection strategy (i.e., the first injection strategy) includes: selection of the quantitation loop and setting of the initial dilution factor.

[0125] In this embodiment, the selection of the quantitative loop is as follows: an initial quantitative loop can be selected from the group of quantitative loops with switchable volumes. Specifically, a small volume quantitative loop (e.g., 25µL) is selected when the predicted concentration is high, and a large volume quantitative loop (e.g., 100µL) is selected when the predicted concentration is low.

[0126] In this embodiment, the initial dilution factor is set as follows: if the predicted concentration exceeds the upper limit of the instrument's working curve range, an initial dilution factor D is calculated so that the diluted predicted concentration falls into the middle of the range.

[0127] Step S16: Prepare a water sample according to the initial strategy and inject it into the ion chromatograph to start the first chromatographic analysis. Simultaneously, during the chromatographic analysis, execute a subroutine for real-time signal monitoring.

[0128] In this embodiment, the real-time signal monitoring subroutine can set one or more retention time windows for target ions (e.g., for anion analysis, a preset chloride ion Cl...). - The retention time window is 2.0–3.5 minutes; for cation analysis, the preset sodium ion Na+ is used. + (The retention time window). Within the retention time window, the real-time signal monitoring subroutine can continuously read the output signal value of the ion chromatograph.

[0129] Specifically, if the ion chromatograph signal value exceeds the preset saturation threshold (e.g., exceeds 90% of the detector's full scale) within N consecutive sampling points, the controller immediately determines it as an "over-scale event" and forcibly terminates the current analysis sequence.

[0130] In this embodiment, the above-mentioned termination operation may include, but is not limited to: stopping chromatographic injection analysis, switching the injection valve to the non-injection state, and starting the cleaning pump to quickly flush the quantitative loop and chromatographic column.

[0131] In this embodiment, step S16 can be specifically executed through step S16a or step S16b as described below.

[0132] Step S16a: If the over-range termination mechanism is not triggered during the entire chromatographic analysis cycle, and the signal peaks of all target ions are within the effective linear range of the chromatographic working curve, then the first chromatographic analysis is considered to have been successfully completed.

[0133] Step S16b: If the over-range termination mechanism is triggered, a more reasonable dilution factor is recalculated based on the ratio between the signal intensity at the moment of exceeding the limit and the upper limit of the range, combined with the preset safety factor. The sample is then diluted again with this factor, and the chromatographic analysis is restarted (i.e., try again with the new dilution factor).

[0134] Step S17: After the first chromatographic analysis is completed (i.e., no over-range termination is triggered during the entire operation cycle), the chromatographic peaks of the preset trace target ions are quantitatively evaluated.

[0135] Step S18a: If the signals of all trace target ions are higher than the limit of quantitation threshold, the single analysis data is deemed valid, and the results are output directly.

[0136] Step S18b: If the trace target ion signal is below the limit of quantitation threshold, it is determined that high-sensitivity detection needs to be performed. The injection strategy is automatically adjusted to high-sensitivity mode, the large-volume quantitative loop is switched, or the dilution factor is reduced or canceled, and a second chromatographic analysis is performed.

[0137] Step S19: After the analysis is completed, execute the data fusion algorithm to generate a complete water quality analysis report.

[0138] Thus, on the one hand, the peak-stopping mechanism at the front-end window significantly shortens the water sample determination time, reduces invalid analysis time, and improves the testing efficiency of system data. On the other hand, the built-in concentration determination module enables dual-channel detection of constant and trace ions, and the data fusion process ensures accurate quantification of both high and low concentration ions.

[0139] Example 2: Taking domestic water as an example, the water quality detection method based on conductivity prediction provided by this invention is implemented as follows: First, the water sample, driven by a pump, enters the turbidity detector, where the turbidity is measured to be 0.6 NTU, below the first threshold Turb1. The water sample then proceeds directly to the subsequent conductivity detector without filtration. Next, the water sample flows into the conductivity detector, where the measured conductivity E at 25°C is determined. 25 =210μS / cm, indicating a low-concentration ionized water sample. A 100µL large-volume quantitative loop was used, with a dilution factor D=1 for testing. Finally, data from the chromatographic analysis unit was used for evaluation. The detected data was within the quantitation range, and both major and trace ion peaks were above the quantitation limit, confirming the validity of the single analysis. The test results were directly output, cleaning was completed, and the system entered standby mode.

[0140] Example 3: Taking industrial wastewater with high turbidity and high conductivity as an example, the water quality detection method based on conductivity prediction provided by this invention is implemented as follows: First, the turbidity of the industrial wastewater to be tested was 11 NTU, which is higher than the first threshold Turb1 = 5 NTU. The system automatically activated the filtration mode, using a membrane filter to remove suspended particles and oil, protecting the chromatographic column and detector. Then, the measured conductivity E of the water sample was... t =18500μS / cm, temperature t=33℃, E after temperature correction 25The sample concentration was approximately 15862 μS / cm, which the controller determined to be a high-concentration ionized water sample. Subsequently, the system used a 25µL small quantitative loop with an initial dilution factor of 60 times to ensure the target ion fell within the linear range of the ion chromatography working curve. The system injected the sample after a 60-fold dilution, and real-time monitoring confirmed no over-range triggering. The first analysis was completed, and the normal ion data were valid. Next, a trace ion determination step was performed: fluoride and nitrite ion signals were below the quantitation limit, so the system automatically switched to a 100µL large quantitative loop, reducing the dilution factor to 10 times, and performed a second injection and data output to complete a second high-sensitivity analysis. This combined normal and trace data for accurate simultaneous quantification of anions and cations across a wide range. Finally, the flow path and filter membrane were flushed with high-flow-rate pure water to reset the system.

[0141] Thus, the water quality detection system and method based on conductivity prediction provided by this invention can make decisions based on the adaptive range of conductivity and working curve, and have the advantages of wide range, high precision, self-adaptation and online automatic adjustment.

[0142] This invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the water quality detection method based on conductivity prediction. The memory may include main memory, such as high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device. The processor, network interface, and memory are interconnected via an internal bus, which may be an industry-standard architecture bus, a peripheral component interconnection standard bus, an extended industry-standard architecture bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory stores the program; specifically, the program may include program code, which includes computer operation instructions. The memory may include main memory and non-volatile memory, and provides instructions and data to the processor.

[0143] The present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the water quality detection method based on conductivity prediction. Specifically, the computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include read-only memory (ROM), hard disk, flash memory, optical disk, magnetic disk, etc.

[0144] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can be implemented in one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs) containing computer-usable program code. The form of a computer program product implemented on ROM, optical memory, etc.

[0145] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations 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, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0146] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0147] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0148] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and disclosure of the invention. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.

[0149] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

[0150] The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made to the technical solution based on the technical concept proposed in this invention shall fall within the scope of protection of the claims of this invention.

Claims

1. A water quality detection system based on conductivity prediction, characterized in that, The system includes: a turbidity detection module, a conductivity detection module, a water quality detection module, and a control module. The turbidity detection module, the conductivity detection module, and the water quality detection module are connected sequentially through a sample inlet pipe, and all three modules are electrically connected to the control module. The sample inlet pipe is used to connect to the water sample to be tested. The turbidity detection module is used to detect the turbidity of the water sample to be tested; The conductivity detection module is used to detect the conductivity of the water sample when the turbidity of the water sample is less than or equal to a first threshold. The control module is used to determine a first sampling strategy for the water sample based on its conductivity, and to input the water sample into the water quality detection module based on the first sampling strategy. The water quality testing module is used to analyze and test the water sample to obtain the water quality test results.

2. The system according to claim 1, characterized in that, The system further includes: a filtration module, one end of which is connected to the turbidity detection module through the sample inlet pipe, and the other end of which is connected to the conductivity detection module through the sample inlet pipe; The filtration module is used to filter the water sample to be tested when the turbidity of the water sample to be tested is greater than a first threshold, and to transport the filtered water sample to the conductivity detection module. The conductivity detection module is also used to detect the conductivity of the filtered water sample.

3. The system according to claim 1, characterized in that, The control module is specifically used for: Based on the conductivity of the water sample to be tested, the predicted concentration of the target ion is obtained, and based on the predicted concentration, the first injection strategy is determined, wherein the first injection strategy includes at least one of the following: the dilution factor of the water sample to be tested, and the injection volume of the water sample to be tested.

4. The system according to claim 3, characterized in that, The system further includes a dilution module and a quantitative loop selection module. One end of the dilution module is connected to the conductivity detection module via a sample injection pipe, and the other end of the dilution module is connected to one end of the quantitative loop selection module via a sample injection pipe. The other end of the quantitative loop selection module is connected to the water quality detection module via a sample injection pipe. Both the dilution module and the quantitative loop selection module are electrically connected to the control module. The dilution module is used to dilute the water sample to be tested according to the dilution factor when the first sampling strategy determined by the control module includes the dilution factor of the water sample to be tested. The quantitative loop selection module is used to select the corresponding quantitative loop for injection according to the injection volume when the first injection strategy determined by the control module includes the injection volume of the water sample to be tested.

5. The system according to any one of claims 1 to 3, characterized in that, The control module is also used to monitor the signal value output by the water quality detection module within a target time period during the process of the water quality detection module analyzing and detecting the water sample to be tested. If the signal value is greater than the second threshold, the control module controls the water quality detection module to stop analyzing and detecting, determines the second sampling strategy, and inputs the water sample to be tested into the water quality detection module based on the second sampling strategy. The target time period is the preset detection time window corresponding to the target ion.

6. A water quality detection method based on conductivity prediction, characterized in that, The method, applied to the water quality detection system based on conductivity prediction as described in any one of claims 1 to 5, comprises: A water sample to be tested is collected through the inlet pipe of the water quality detection system based on conductivity prediction. The turbidity of the water sample to be tested is detected by the turbidity detection module of the water quality detection system based on conductivity prediction. The conductivity detection module of the water quality detection system based on conductivity prediction detects the conductivity of the water sample when the turbidity of the water sample is less than or equal to a first threshold. The control module of the water quality detection system based on conductivity prediction determines the first sampling strategy for the water sample based on its conductivity, and inputs the water sample into the water quality detection module based on the first sampling strategy. The water quality detection module of the water quality detection system based on conductivity prediction analyzes and detects the water sample to be tested, and obtains the water quality detection results.

7. The method according to claim 6, characterized in that, After detecting the turbidity of the water sample to be tested, the method further includes: The water quality detection system based on conductivity prediction uses a filtration module to filter the water sample if the turbidity of the water sample is greater than a first threshold, and then sends the filtered water sample to the conductivity detection module. The conductivity of the filtered water sample is detected by the conductivity detection module based on conductivity prediction.

8. The method according to claim 6, characterized in that, The control module of the water quality detection system based on conductivity prediction determines the first injection strategy for the water sample based on its conductivity, including: The control module obtains the predicted concentration of the target ion based on the conductivity of the water sample to be tested, and determines the first injection strategy based on the predicted concentration. The first injection strategy includes at least one of the following: the dilution factor of the water sample to be tested, and the injection volume of the water sample to be tested.

9. The method according to claim 8, characterized in that, The method further includes: The dilution module of the water quality detection system based on conductivity prediction dilutes the water sample according to the dilution factor when the first sampling strategy determined by the control module includes the dilution factor of the water sample to be tested. The quantitative loop selection module of the water quality detection system based on conductivity prediction selects the corresponding quantitative loop for injection according to the injection volume when the first injection strategy determined by the control module includes the injection volume of the water sample to be tested.

10. The method according to any one of claims 6 to 8, characterized in that, The method further includes: During the analysis and testing of the water sample by the water quality detection module, the control module monitors the signal value output by the water quality detection module within the target time period. If the signal value is greater than the second threshold, the control module stops the analysis and testing, determines the second sampling strategy, and inputs the water sample into the water quality detection module based on the second sampling strategy. The target time period is the preset detection time window corresponding to the target ion.

Images