Water quality PH monitoring method and device, water treatment equipment and storage medium

Abstract

The invention relates to the technical field of water treatment equipment, and provides a water quality PH monitoring method and device, water treatment equipment and a storage medium, a direct basis is provided for subsequent PH value calculation by directly obtaining a first soluble substance content value at the upstream of an alkaline filter material in the water treatment equipment and a second soluble substance content value at the downstream of the alkaline filter material. A target soluble substance content difference value is calculated on the basis of the second soluble substance content value and the first soluble substance content value, the target soluble substance content difference value represents the variable quantity of the soluble substance content in the water quality treatment process, and the target soluble substance content difference value can be used for monitoring the change of the water quality. And finally, performing calculation based on the target soluble substance content difference value to obtain the water quality PH value, thereby greatly improving the accuracy of water quality monitoring. In addition, the use of an expensive PH meter is avoided, and the water quality monitoring cost is reduced.

Description

Technical Field

[0001] The present application relates to the field of water purification technology, and in particular to a water quality pH monitoring method, device, water treatment equipment and storage medium. Background Art

[0002] Adding alkaline filter materials to water treatment equipment will not only enrich the water with minerals that are beneficial to the human body, but also significantly change the pH value of the water, making it closer to the ideal pH range for drinking water, thereby enhancing the taste and nutritional value of the water. Therefore, accurate monitoring of the pH value of mineralized spring water after treatment is the key to ensuring water quality safety, improving user experience and maintaining stable operation of equipment.

[0003] In existing water treatment technologies, monitoring the pH value of water quality usually relies on professional pH meters. However, the configuration and use of pH meters will increase the overall cost of the equipment, and pH meters are susceptible to environmental factors such as temperature and humidity during long-term use. These factors may cause deviations in the measurement results of pH meters, thereby affecting the accuracy of water quality pH value monitoring. Summary of the invention

[0004] Based on this, a water quality pH monitoring method, device, water treatment equipment and storage medium are proposed, aiming to solve the technical problems of high cost and low accuracy of water quality pH monitoring by existing water treatment equipment.

[0005] The first aspect of the present application provides a water quality pH monitoring method, the method comprising: Obtaining a first soluble substance content value upstream of an alkaline filter material and a second soluble substance content value downstream of the alkaline filter material in a water treatment device; Obtaining a target soluble substance content difference according to the first soluble substance content value and the second soluble substance content value; The pH value of water quality is calculated based on the difference in the target soluble substance content.

[0006] Optionally, obtaining a target soluble substance content difference according to the first soluble substance content value and the second soluble substance content value includes: Acquiring a first water flow velocity upstream of the alkaline filter material and a second water flow velocity downstream of the alkaline filter material; Correcting the first soluble substance content value using the first water flow rate to obtain a first corrected soluble substance content value; Correcting the second soluble substance content value using the second water flow rate to obtain a second corrected soluble substance content value; The target soluble substance content difference is obtained according to the first corrected soluble substance content value and the second corrected soluble substance content value.

[0007] Optionally, the using the first water flow rate to correct the first soluble substance content value to obtain a first corrected soluble substance content value includes: Obtaining a change in water flow velocity based on the first water flow velocity and the first water flow velocity of the previous cycle; The first soluble substance content value is corrected based on the first water flow velocity and the change in the water flow velocity using a preset first correction model to obtain a first corrected soluble substance content value.

[0008] Optionally, the using the second water flow rate to correct the second soluble substance content value to obtain a second corrected soluble substance content value includes: Obtaining a water retention time according to the volume of the alkaline filter material and the second water flow velocity; Obtaining a mass transfer coefficient according to the second water flow velocity; Using a preset second correction model, the second soluble substance content value is corrected based on a preset reference water flow velocity, the water quality retention time, the mass transfer coefficient, and the second water flow velocity to obtain a second corrected soluble substance content value.

[0009] Optionally, the calculation based on the target soluble substance content difference to obtain the water quality pH value includes: Determine the type of the alkaline filter material, select a first target water quality pH monitoring model from a plurality of preset first water quality pH monitoring models according to the type, and use the first target water quality pH monitoring model to calculate based on the target soluble substance content difference to obtain the water quality pH value; or Determine the location of the water treatment equipment, select a second target water quality PH monitoring model from a plurality of preset second water quality PH monitoring models according to the location, and use the second target water quality PH monitoring model to calculate based on the target soluble substance content difference to obtain the water quality PH value; or Determine the type of the alkaline filter material and the location of the water treatment equipment, select a third target water quality pH monitoring model from a plurality of preset third water quality pH monitoring models according to the type and the location, and use the third target water quality pH monitoring model to calculate based on the target soluble substance content difference to obtain the water quality pH value.

[0010] Optionally, the multiple preset first water quality PH monitoring models, the multiple preset second water quality PH monitoring models and the multiple preset third water quality PH monitoring models are function models established by simulating the relationship between the difference between the soluble substance content before and after alkaline filter material treatment and the water quality PH value.

[0011] Optionally, the method further includes: Display the water quality pH value using a preset display method; and / or The water quality PH value is compared with a preset water quality PH threshold range, and when the water quality PH value exceeds the preset water quality PH threshold range, an alarm is issued according to a preset alarm method.

[0012] A second aspect of the present application provides a water quality pH monitoring device, the device comprising: A first acquisition module is used to obtain a first soluble substance content value upstream of the alkaline filter material in the water treatment equipment; A second acquisition module, used to obtain a second soluble substance content value downstream of the alkaline filter material; A first calculation module, used for obtaining a target soluble substance content difference according to the first soluble substance content value and the second soluble substance content value; The second calculation module is used to calculate based on the target soluble substance content difference to obtain the water quality pH value.

[0013] The third aspect of the present application provides a water treatment device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the water quality pH monitoring method when executing the computer program.

[0014] A fourth aspect of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the water quality pH monitoring method are implemented.

[0015] The present application provides a direct basis for subsequent pH value calculation by directly obtaining the first soluble substance content value upstream of the alkaline filter material in the water treatment equipment and the second soluble substance content value downstream. The target soluble substance content difference is calculated based on the second soluble substance content value and the first soluble substance content value. The target soluble substance content difference represents the amount of change in the soluble substance content of the water quality during the treatment process, which can be used to monitor the change in water quality. Finally, the water quality pH value is calculated based on the target soluble substance content difference, which greatly improves the accuracy of water quality monitoring. In addition, the present application avoids the use of expensive pH meters and reduces the cost of water quality monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a flow chart of the water quality pH monitoring method provided in the embodiment of the present application.

[0018] Figure 2 It is a schematic diagram of TDS detection upstream and downstream of the alkaline filter material provided in the embodiment of the present application.

[0019] Figure 3 It is a functional module diagram of the water quality pH monitoring device provided in an embodiment of the present application.

[0020] Figure 4 It is a schematic diagram of the structure of the water treatment equipment provided in the embodiment of the present application. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0022] The water quality pH monitoring method provided in the embodiment of the present application is mainly used in water treatment equipment in home life or office places to monitor the pH value of the water quality of the water treatment equipment.

[0023] Water treatment equipment is a device used to improve water quality, remove impurities from water or adjust water quality, such as a water purifier, a water purifier machine, etc. The water treatment equipment in the embodiment of the present application is a water purifier with a mineral mineralization function. A water purifier with a mineral mineralization function refers to a type of water purification equipment that can deeply purify tap water and add mineral elements required by the human body to make the water quality reach a standard similar to that of mineral water. After removing harmful substances, the water purifier with a mineral mineralization function reincorporates minerals such as calcium, magnesium, iron, and zinc required by the human body into the water by adding mineral-rich filter materials. These minerals exist in an ionic state and are easier for the human body to absorb.

[0024] The water treatment equipment may include a filter element assembly, a filter, a reverse osmosis device, etc. The filter element assembly in the embodiment of the present application may include one or more alkaline filter materials, which are a filter element or material used for water treatment, and its main function is to convert acidic water into alkaline water, usually by reducing the acidity of water through negative ions, thereby increasing the alkalinity of water.

[0025] One alkaline filter material corresponds to one alkaline water channel. When multiple alkaline filter materials are used, the water channels between the multiple alkaline filter materials are usually set in parallel to ensure that the water flow can pass through each filter material evenly.

[0026] In the embodiments of the present application, the alkaline filter material contains alkaline substances. For a plurality of alkaline filter materials, the types and dissolution rates of the alkaline substances contained in different alkaline filter materials are different. Therefore, the alkaline strengths of different alkaline filter materials are different, thereby achieving different alkaline treatment effects.

[0027] The following uses two alkaline filter materials as an example to illustrate the interaction between alkaline filter materials and their effects in water treatment: For example, in a filter element assembly, the first alkaline filter material is filled with weakly acidic ore, while the second alkaline filter material is filled with ore rich in calcium and magnesium. When the water flows through the first alkaline filter material first, the acidic substances precipitated from the first alkaline filter material can effectively promote the precipitation of calcium and magnesium in the subsequent second alkaline filter material. This promotion effect not only improves the mineralization efficiency, but also makes the water rich in minerals that are beneficial to the human body after passing through the entire filter element assembly.

[0028] For example, in a filter element assembly, the first alkaline filter material is filled with weakly alkaline ore, while the second alkaline filter material is filled with zinc and copper-containing ore. When the water flows through the first alkaline filter material first, the alkaline substances precipitated from the first alkaline filter material will inhibit the precipitation of zinc and copper elements in the second alkaline filter material. This inhibition relationship can control the content of certain minerals in the water.

[0029] For example, in a filter element assembly, the first alkaline filter material contains alkaline minerals of different contents, while the second alkaline filter material contains calcium magnesium minerals of different contents. By adjusting the flow rate of the water flow channel between the first alkaline filter material and the second alkaline filter material, the concentration of different mineralized elements can be flexibly adjusted to meet the specific needs of different users for water quality.

[0030] In the design of the filter element assembly, the arrangement and combination of different filter materials are also crucial. For example, a combination of a surface strong alkaline material (such as brucite) and an inner weak alkaline material (such as calcite) is used. This design allows the filter element to quickly release strong alkaline substances in the early stage, and as the use time goes by, the inner weak alkaline material gradually takes effect, thus ensuring that the filter element can maintain a moderate alkalinity strength throughout its service life.

[0031] By designing and combining different types of alkaline filter materials and their water channel settings, precise mineralization of water quality can be achieved. This not only helps to improve the safety and health of water quality, but also meets the personalized needs of different users for water taste and nutritional value.

[0032] According to the relevant provisions of the "Sanitary Standards for Drinking Water", the normal pH value of drinking water is 6.5-8.5, because a lower pH value is prone to corroding metal water pipes, while a higher pH value causes the calcium and magnesium ions in the water to precipitate and form scale, which has adverse effects on human health.

[0033] In view of the many benefits of alkaline water to human health and the clear provisions of the pH value of water quality in the "Sanitary Standards for Drinking Water", it is particularly important to accurately monitor the pH value of the water quality of water purifiers with mineral mineralization functions. This is not only related to the safety and health of users' drinking water, but also directly affects the stable operation of the equipment and user experience.

[0034] To achieve this goal, the present application embodiment proposes a water quality pH monitoring method for use in water treatment equipment for home life or office. The method aims to ensure that the mineralized water is safe and meets health standards when it reaches the user end by real-time monitoring of the water quality pH value.

[0035] See also Figure 1 As shown, it is a schematic diagram of the process of the water quality pH monitoring method provided in an embodiment of the present application, and the water quality pH monitoring method includes the following steps.

[0036] S11, obtaining a first soluble substance content value upstream of an alkaline filter material and a second soluble substance content value downstream of the alkaline filter material in a water treatment device.

[0037] In the field of water treatment, the soluble matter content value is usually used to measure the total amount of dissolved matter in water, which may include salts, minerals, organic matter, etc. By detecting the soluble matter content value, the quality of water and the effect of water treatment equipment can be evaluated. In the embodiment of the present application, in order to more accurately monitor the water quality pH in the water treatment equipment, the soluble matter content value may include the total dissolved solids value or the conductivity.

[0038] The total dissolved solids (TDS) value refers to the total amount of solids dissolved in water, including both inorganic and organic matter. The unit of measurement is mg / L (1mg / L=1ppm), indicating how many milligrams of total dissolved solids are dissolved in 1 liter of water. The higher the TDS value, the more dissolved matter is contained in the water. Generally, the conductivity value can be used to roughly understand the salt content in the solution. The higher the conductivity, the higher the salt content, and the higher the TDS value. The TDS sensor is an instrument that reflects the mineralization degree of water quality by measuring the conductivity of water.

[0039] Conductivity is a measure of the concentration of ions in water, and it reflects the ability of dissolved substances in water to conduct electricity. Dissolved substances in water form ions, which can transmit electric current when moving in water, so conductivity can be used to evaluate the ion concentration in water. The higher the conductivity, the higher the ion concentration in the water, and it may contain more dissolved substances. During the water treatment process, conductivity can be used to monitor changes in water quality and evaluate the effectiveness of water treatment equipment.

[0040] See also Figure 2 As shown, a first sensor is arranged upstream of the alkaline filter material, and the first sensor is used to detect the soluble substance content value upstream of the alkaline filter material (i.e., the first soluble substance content value). The first soluble substance content value is the soluble substance content value before the water flows through the alkaline filter material, that is, the soluble substance content value of the raw water. Similarly, a second sensor is arranged downstream of the alkaline filter material, and the second sensor is used to detect the soluble substance content value downstream of the alkaline filter material (i.e., the second soluble substance content value). The second soluble substance content value is the soluble substance content value after the water flows through the alkaline filter material.

[0041] S12: Obtain a target soluble substance content difference according to the first soluble substance content value and the second soluble substance content value.

[0042] To obtain a target soluble matter content difference value, the first soluble matter content value may be subtracted from the second soluble matter content value.

[0043] Assuming that the first sensor is a first TDS sensor, the first TDS sensor detects a first soluble substance content value upstream of the alkaline filter material of TDS 1. The second sensor is the second TDS sensor. The second TDS sensor detects the second soluble substance content value downstream of the alkaline filter material. , then the target soluble substance content difference (Δ TDS ) can be expressed as: Assuming that the first sensor is a first conductivity sensor, the first conductivity sensor detects a first soluble substance content value upstream of the alkaline filter material as conductivity 1, and the second sensor is a second conductivity sensor, the second conductivity sensor detects a second soluble substance content value downstream of the alkaline filter material as conductivity 2, then the target soluble substance content difference (Δ conductivity) can be expressed as: .

[0044] The target dissolved matter content difference indicates the change in dissolved matter content in water during the treatment process and can be used to evaluate the performance of water treatment equipment or monitor changes in water quality.

[0045] It should be understood that in water purifiers with mineralizing spring function, the target soluble substance content difference will usually not be less than 0. The reason is that the mineralizing water purifier reincorporates the mineral elements needed by the human body into the water by adding mineral-rich filter materials (such as calcium, magnesium, zinc and other ores). These minerals exist in the water in ions or dissolved states. This process will increase the soluble substance content in the water. Even though purification treatment is carried out before mineralization to remove harmful substances and impurities in the water, this part of the reduction is mainly non-mineral dissolved solids. The minerals added in the mineralization process will compensate for or even exceed this reduction, causing the overall soluble substance content value to increase.

[0046] During water treatment, changes in water flow rate can affect the distribution, mixing, and transport of dissolved substances in the water. Fast water flow may stir up sediments and release more dissolved substances into the water, thus affecting the measurement of dissolved substance content values. In addition, the measurement of dissolved substance content values ​​usually relies on physical properties such as conductivity, and changes in water flow rate may affect the measurement of these physical properties. For example, changes in water flow rate may affect the contact area and contact time between the electrode and the water body, thereby affecting the measurement of conductivity. Therefore, it is necessary to correct the dissolved substance content value by water flow rate.

[0047] In an optional embodiment, obtaining a target soluble substance content difference according to the first soluble substance content value and the second soluble substance content value comprises: Acquiring a first water flow velocity upstream of the alkaline filter material and a second water flow velocity downstream of the alkaline filter material; Correcting the first soluble substance content value using the first water flow rate to obtain a first corrected soluble substance content value; Correcting the second soluble substance content value using the second water flow rate to obtain a second corrected soluble substance content value; The target soluble substance content difference is obtained according to the first corrected soluble substance content value and the second corrected soluble substance content value.

[0048] A first water flow velocity sensor or flow meter is arranged upstream of the alkaline filter material, and the first water flow velocity sensor or flow meter is used to detect the water flow velocity upstream of the alkaline filter material (i.e., the first water flow velocity). The first water flow velocity indicates the velocity of the water flow before passing through the alkaline filter material, and reflects the flow state of the water before entering the filter material. Similarly, a second water flow velocity sensor or flow meter is arranged downstream of the alkaline filter material, and the second water flow velocity sensor or flow meter is used to detect the water flow velocity downstream of the alkaline filter material (i.e., the second water flow velocity). The second water flow velocity indicates the velocity of the water flow after passing through the alkaline filter material, and reflects the flow state of the water after being treated by the filter material.

[0049] When the water flow rate increases, the flushing effect of the water flow on the sensor may increase, resulting in a low sensor reading; conversely, when the water flow rate decreases, the flushing effect of the water flow on the sensor weakens, and the sensor reading may be high. Therefore, after obtaining the first water flow rate upstream of the alkaline filter material and the second water flow rate downstream, it is necessary to use a correction model to correct the first soluble substance content value according to the first water flow rate and the second soluble substance content value according to the second water flow rate to eliminate the measurement error of the soluble substance content value upstream and downstream of the alkaline filter material caused by the change in water flow rate. The corrected values ​​(i.e., the first corrected soluble substance content value and the second corrected soluble substance content value) can more truly reflect the changes in water quality during the treatment process.

[0050] After obtaining the first corrected soluble substance content value and the second corrected soluble substance content value, a target soluble substance content difference value is obtained according to the difference between the first corrected soluble substance content value and the second corrected soluble substance content value. The target soluble substance content difference value can more accurately reflect the amount of water quality change, thereby more accurately evaluating the performance of the water treatment equipment and monitoring the change of water quality.

[0051] The above optional implementation manner, by respectively arranging water flow velocity sensors upstream and downstream of the alkaline filter material to detect the water flow velocity, can comprehensively reflect the changes in the flow state of water during the treatment process, especially when there is a significant difference in the water flow velocity upstream and downstream of the filter material; using the water flow velocity to correct the corresponding soluble substance content value can more accurately obtain the target soluble substance content difference, which can be used to evaluate the performance of water treatment equipment or monitor changes in water quality.

[0052] In an optional embodiment, the using the first water flow rate to correct the first soluble substance content value to obtain a first corrected soluble substance content value comprises: Obtaining a change in water flow velocity based on the first water flow velocity and the first water flow velocity of the previous cycle; The first soluble substance content value is corrected based on the first water flow velocity and the change in the water flow velocity using a preset first correction model to obtain a first corrected soluble substance content value.

[0053] The preset first calibration model is expressed as follows: .

[0054] Wherein, V1 is the first water flow velocity. ΔV is the change in water flow velocity, that is, the difference between the current water flow velocity (first water flow velocity V1) and the water flow velocity of the previous cycle. The change in water flow velocity reflects the fluctuation of water flow velocity over a period of time. K1 is a correction factor, which is a coefficient determined by experiment or experience and is used to adjust the measurement error of soluble substance content value caused by the change in water flow velocity. Y1 is the first soluble substance content value. is the first calibrated dissolved substance content value. Period refers to the collection period of the first water flow velocity sensor.

[0055] It indicates the rate of change of water flow velocity, that is, the change range and trend of water flow velocity relative to the first water flow velocity V1. It reflects how the water flow velocity changes, whether it increases or decreases, and how large the change range is.

[0056] Indicates the amount of adjustment for the measurement error of the dissolved matter content value due to changes in water flow rate. The rate of change of water flow rate and the correction factor are taken into account to correct the original dissolved matter content value.

[0057] Correction based directly on water flow velocity may not fully reflect the actual impact of water flow velocity fluctuations on the measurement of dissolved matter content values. This is because the change in water flow velocity is not only related to the current velocity, but also closely related to the trend and amplitude of the velocity change. Therefore, correction based on the change in water flow velocity can more accurately reflect the impact of water flow velocity fluctuations on the measurement of dissolved matter content values. By considering the trend and amplitude of velocity changes, the dissolved matter content value can be adjusted more accurately, thereby improving the accuracy of the measurement.

[0058] The above optional implementation method quantifies the influence of the change in water flow velocity on the measurement of the soluble substance content value through the correction factor K1 and the ratio of the change in water flow velocity ΔV to the water flow velocity V1 in the previous cycle. This makes the correction process more scientific and accurate. The first correction model can adapt to the correction requirements under different water flow velocities. Whether the water flow velocity increases or decreases, the dynamic correction of the soluble substance content value can be achieved through the correction factor and the velocity change, thereby improving the accuracy and reliability of the measurement.

[0059] In an optional embodiment, the using the second water flow rate to correct the second soluble substance content value to obtain the second corrected soluble substance content value comprises: Obtaining a water retention time according to the volume of the alkaline filter material and the second water flow velocity; Obtaining a mass transfer coefficient according to the second water flow velocity; Using a preset second correction model, the second soluble substance content value is corrected based on a preset reference water flow velocity, the water quality retention time, the mass transfer coefficient, and the second water flow velocity to obtain a second corrected soluble substance content value.

[0060] The preset second calibration model is expressed as follows: .

[0061] Wherein, V2 is the second water flow rate. k2 is the mass transfer coefficient, which is an empirical coefficient that reflects the efficiency of material exchange between water flow and filter material, and is used to adjust the TDS or conductivity measurement error caused by changes in water flow rate. t is the water residence time, that is, the time required for water to flow through the filter material, which depends on the volume of the filter material and the water flow rate. V0 is the reference water flow rate, which is a standard or benchmark water flow rate for comparison with the current water flow rate. The selection of the reference water flow rate may be based on experimental data, industry standards or empirical values. Y2 is the second soluble substance content value. It is the second corrected soluble matter content value.

[0062] It is a function of the mass transfer coefficient k2 and the water residence time t, and represents the TDS or conductivity measurement error caused by the exchange of substances between the water flow and the filter material. As the water residence time increases, the material exchange becomes more complete, which may affect the TDS or conductivity measurement results. The mass transfer coefficient (k2) reflects the efficiency of this material exchange. Since k2 is dimensionless, It is dimensionless overall.

[0063] It is the ratio between the current water flow velocity V2 and the reference water flow velocity V0, which indicates the effect of water flow velocity change on TDS or conductivity measurement. When the water flow velocity changes, it may affect the contact area and contact time between the water flow and the filter material, thereby affecting the material exchange and TDS or conductivity measurement results. Since V2 and V0 have the same dimension, It is dimensionless overall.

[0064] When the water flow rate V2 changes, the water residence time t and the mass transfer coefficient (k2) will also be affected. These changes will cause the correction factor to change, thus affecting the corrected TDS or conductivity value. The model adjusts the correction factor to reflect the impact of these changes on the TDS or conductivity measurement.

[0065] Changes in water flow velocity will affect the contact area and contact time between the water flow and the filter material, thereby affecting the material exchange and the measurement results of TDS or conductivity. The water residence time determines the adequacy of the material exchange between the water flow and the filter material. The longer the water residence time, the more complete the material exchange between the water flow and the filter material, which will affect the measurement results of TDS or conductivity. The mass transfer coefficient reflects the efficiency of the material exchange between the water flow and the filter material. Therefore, the second correction model realizes the correction of the original second soluble substance content value measurement by comprehensively considering the influence of water flow velocity, water residence time, mass transfer coefficient and reference water flow velocity on the measurement of soluble substance content value, thereby more accurately reflecting the actual water quality and improving the accuracy of soluble substance content value measurement.

[0066] S13, calculating based on the target soluble substance content difference to obtain the water quality pH value.

[0067] In order to calculate the pH value of water quality based on the target soluble substance content difference, it is necessary to collect water quality sample data from different water sources and conditions in advance, and fit the possible correlation or functional relationship between the soluble substance content difference and the pH value based on the water quality sample data, and then use the fitted correlation or functional relationship to calculate the pH value of water quality based on the target soluble substance content difference.

[0068] Water quality sample data can include the difference in dissolved matter content and the corresponding pH value. Collecting water quality sample data from different water sources and conditions is to ensure that the functional relationship fitted based on the water quality sample data has sufficient generalization ability. Water quality conditions are dynamically changing and are affected by many factors. By collecting diverse water quality sample data, it can be ensured that the model can learn the complex relationship between different water quality characteristics to better adapt to the trend of water quality parameters changing over time and space, thereby providing more reliable prediction results.

[0069] The collected water quality sample data are preprocessed, including removing outliers and data smoothing, to improve data quality.

[0070] Use appropriate data fitting methods (such as linear regression, polynomial regression, machine learning algorithms, etc.) to fit the relationship between the difference in soluble matter content and pH value, so as to find a mathematical function that can best describe the relationship between the two. For example, linear fitting is performed between the TDS difference and the pH value to obtain the relationship: , where a is the source term constant and b is the amplitude index, both of which are related to the alkalinity of the mineralized filter material and are measured experimentally.

[0071] In water quality monitoring, there is often a large uncertainty in directly predicting the pH value of water quality through TDS difference. Especially when using alkaline filter materials for water treatment, the type and properties of the filter materials will significantly affect the chemical balance of the water body. Different types of alkaline filter materials have different chemical compositions, pore structures and surface properties. These differences will cause alkaline filter materials to show different effects in the water quality treatment process, which will further affect the relationship between TDS difference and water quality pH value.

[0072] In an optional embodiment, the calculation based on the target soluble substance content difference to obtain the water quality pH value includes: determining the type of the alkaline filter material; Selecting a first target water quality PH monitoring model from a plurality of preset first water quality PH monitoring models according to the type; The first target water quality pH monitoring model is used to calculate based on the target soluble substance content difference to obtain the water quality pH value.

[0073] The type of alkaline filter material used can be determined by consulting the product manual. According to the determined type of alkaline filter material, a model matching the type of alkaline filter material is selected from a plurality of preset first water quality pH monitoring models stored locally. The target soluble substance content difference is input into the selected model. The selected model is calculated based on the input target soluble substance content difference to obtain the water quality pH value.

[0074] In order to establish a model that can accurately reflect the type of alkaline filter material, the relationship between the difference in soluble substance content and the pH value, a large amount of experimental data can be collected. These data include the soluble substance content and pH value of water quality samples before and after treatment with different types of alkaline filter materials. For each type of alkaline filter material, a function model is established by simulating the relationship between the difference in soluble substance content before and after alkaline filter material treatment and the pH value of water quality, thereby obtaining the first water quality pH monitoring model.

[0075] The above optional implementation scheme considers the type of alkaline filter material and selects a suitable model from multiple preset water quality pH monitoring models according to the type of alkaline filter material, so as to more accurately calculate the water quality pH value based on the target soluble substance content difference, thereby improving the accuracy of water quality pH value monitoring.

[0076] In the process of using water treatment equipment to improve water quality, water bodies in different locations may be affected by different environmental factors, such as temperature, light, geological conditions, and human activities, all of which may change the content of dissolved substances in the water body, thereby affecting the relationship between the difference in dissolved substance content and pH value. Therefore, when constructing the model, taking the location of the water treatment equipment into consideration as an important variable will help to more accurately predict the pH value of water quality.

[0077] In an optional embodiment, the calculation based on the target soluble substance content difference to obtain the water quality pH value includes: Determining the location of the water treatment equipment; Selecting a second target water quality PH monitoring model from a plurality of preset second water quality PH monitoring models according to the location; The second target water quality pH monitoring model is used to calculate based on the target soluble substance content difference to obtain the water quality pH value.

[0078] GIS technology can be used to determine the precise location of the water treatment equipment through map positioning and data analysis. According to the determined location of the water treatment equipment, a model matching the location of the water treatment equipment is selected from multiple preset second water quality pH monitoring models stored locally. The target soluble substance content difference is input into the selected model. The selected model is calculated based on the input target soluble substance content difference to obtain the water quality pH value.

[0079] In order to establish a model that can accurately reflect the location of water treatment equipment, the relationship between the difference in dissolved substance content and the pH value, a large amount of experimental data can be collected. These data include the dissolved substance content and pH value of water quality samples at different locations before and after filtration by alkaline filter materials. For the water treatment equipment at each location, a function model is established by simulating the relationship between the difference in dissolved substance content before and after alkaline filter material treatment and the pH value of water quality, and a second water quality pH monitoring model is obtained.

[0080] The above optional implementation scheme considers the location of the water treatment equipment and selects a suitable model from multiple preset water quality pH monitoring models according to the location of the water treatment equipment, so as to more accurately calculate the water quality pH value based on the target soluble substance content difference, thereby improving the accuracy of water quality pH value monitoring.

[0081] In an optional embodiment, the calculation based on the target soluble substance content difference to obtain the water quality pH value includes: Determining the type of the alkaline filter material and the location of the water treatment equipment; Selecting a third target water quality PH monitoring model from a plurality of preset third water quality PH monitoring models according to the type and the location; The third target water quality pH monitoring model is used to calculate based on the target soluble substance content difference to obtain the water quality pH value.

[0082] The third water quality pH monitoring model is a functional model established by simulating different types of alkaline filter materials, water quality at different locations, the difference between the soluble substance content before and after filtration and the water quality pH value.

[0083] According to the determined location of the water treatment equipment and the type of alkaline filter material, a model matching the type of alkaline filter material and the location of the water treatment equipment is selected from a plurality of preset third water quality pH monitoring models stored locally. The target soluble substance content difference is input into the selected model. The selected model is calculated based on the input target soluble substance content difference to obtain the water quality pH value.

[0084] In an optional embodiment, the method further comprises: The water quality pH value is displayed using a preset display method.

[0085] After the pH value of the water is monitored, the pH value is saved in real time for subsequent analysis of the water quality and state. At the same time, the pH value of the water is displayed on the display interface at the end of the water path, so that people can intuitively understand whether the water quality in the water treatment equipment is more suitable for drinking.

[0086] The preset display modes may include one or a combination of the following: color coding, chart display, digital display, etc.

[0087] Color coding is based on the range of water pH values, using different colors for coding. For example, green indicates good water quality (pH value close to neutral), yellow indicates average water quality (pH value slightly deviates from neutral), and red indicates poor water quality (PH value deviates greatly from neutral). This color coding method can intuitively reflect the water quality status and facilitate users to quickly judge.

[0088] The chart display shows the changing trend of water quality pH value through bar charts, line charts, etc. These charts can clearly show the changes of water quality pH value over time, space and other factors, which helps users find potential problems or patterns.

[0089] Digital display directly displays the pH value of water quality on the display screen. This method can provide accurate data information, which is convenient for users to conduct quantitative analysis and comparison.

[0090] At the same time, digital display can also be combined with color coding, chart display, color bars or lights to form a more comprehensive information display method.

[0091] In actual applications, the preset display mode can be flexibly adjusted according to user needs, application scenarios and other factors.

[0092] The above optional implementation manner performs a visual display after monitoring the pH value of water quality, which can improve user experience and enhance data readability.

[0093] In an optional embodiment, the method further comprises: Comparing the water quality pH value with a preset water quality pH threshold range; When the water quality pH value exceeds the preset water quality pH threshold range, an alarm is issued according to a preset alarm method.

[0094] The preset water quality pH threshold range is usually determined based on water quality standards, industry standards or requirements of a specific application scenario. Optionally, the preset water quality pH threshold range is 6.5 to 8.5.

[0095] The real-time monitored water quality PH value is compared with the preset water quality PH threshold range. If the water quality PH value falls within the preset water quality PH threshold range, it indicates that the water quality is within the normal or ideal pH range and the water quality meets the standard; if the water quality PH value exceeds the preset water quality PH threshold range, for example, PH<6.5 or PH>8.5, it indicates that the water quality does not meet the standard.

[0096] When the pH value of the water flowing out of the water treatment equipment exceeds the preset water quality pH threshold range, sometimes the user cannot find it in the first time. Therefore, the water treatment equipment in the embodiment of the present application is also equipped with an audio-visual alarm module, which is electrically connected to the central processing module and uniformly controlled and executed by the central processing module. The alarm prompt can be made by sound and / or light. This prompt method can attract the user's attention and take timely measures to solve the water quality problem. Alarm content: The alarm content should include real-time data of the water quality pH value, specific circumstances exceeding the threshold (such as exceeding the upper or lower limit), possible hazards, and recommended countermeasures. This information helps users or relevant personnel quickly understand water quality problems and take corresponding treatment measures.

[0097] Alarm prompts can also be given by SMS notification, email notification, etc. Different alarm methods can be selected according to different application scenarios and user needs.

[0098] The above optional implementation method compares the water quality pH value with the preset water quality pH threshold range and takes corresponding alarm measures based on the comparison results, which not only improves the automation and efficiency of water quality monitoring and reduces human intervention and errors; it also ensures that an alarm can be issued in time when the water quality does not meet the standards, thereby effectively preventing potential environmental and health risks.

[0099] The water quality pH monitoring method provided in the embodiment of the present application provides a direct basis for subsequent pH value calculation by directly obtaining the first soluble substance content value upstream of the alkaline filter material in the water treatment equipment and the second soluble substance content value downstream. The target soluble substance content difference is calculated based on the second soluble substance content value and the first soluble substance content value. The target soluble substance content difference represents the amount of change in the soluble substance content of the water quality during the treatment process, which can be used to monitor the change of water quality. Finally, the water quality pH value is calculated based on the target soluble substance content difference, which greatly improves the accuracy of water quality monitoring. In addition, the present application avoids the use of expensive pH meters and reduces the cost of water quality monitoring.

[0100] Figure 3 It is a functional module diagram of the water quality pH monitoring device provided in an embodiment of the present application.

[0101] In some embodiments, the water quality pH monitoring device 30 may include a plurality of functional modules composed of program code segments. The program code of each program segment in the water quality pH monitoring device 30 may be stored in a memory of the water treatment device and executed by at least one processor to perform (see Figure 1 Description) Function of water quality PH monitoring.

[0102] In this embodiment, the water quality pH monitoring device 30 can be divided into multiple functional modules according to the functions it performs. The functional modules may include: a first acquisition module 301, a second acquisition module 302, a first calculation module 303, a second calculation module 304, a pH display module 305 and a water quality alarm module 306. The module referred to in this application refers to a series of computer-readable instruction segments that can be executed by at least one processor and can complete fixed functions, which are stored in a memory. In this embodiment, the functions of each module will be described in detail in subsequent embodiments.

[0103] The first acquisition module 301 is used to acquire a first soluble substance content value upstream of an alkaline filter material in a water treatment device.

[0104] The second acquisition module 302 is used to acquire the second soluble substance content value downstream of the alkaline filter material.

[0105] The first calculation module 303 is used to obtain a target soluble substance content difference according to the first soluble substance content value and the second soluble substance content value.

[0106] The second calculation module 304 is used to calculate based on the target soluble substance content difference to obtain the water quality pH value.

[0107] The pH display module 305 is used to display the water quality pH value using a preset display method.

[0108] The water quality alarm module 306 is used to compare the water quality pH value with a preset water quality pH threshold range, and when the water quality pH value exceeds the preset water quality pH threshold range, an alarm is issued according to a preset alarm method.

[0109] In an optional embodiment, the first calculation module 303 obtains the target soluble substance content difference according to the first soluble substance content value and the second soluble substance content value, including: Acquiring a first water flow velocity upstream of the alkaline filter material and a second water flow velocity downstream of the alkaline filter material; Correcting the first soluble substance content value using the first water flow rate to obtain a first corrected soluble substance content value; Correcting the second soluble substance content value using the second water flow rate to obtain a second corrected soluble substance content value; The target soluble substance content difference is obtained according to the first corrected soluble substance content value and the second corrected soluble substance content value.

[0110] The step of correcting the first soluble substance content value using the first water flow rate to obtain a first corrected soluble substance content value comprises: Obtaining a change in water flow velocity based on the first water flow velocity and the first water flow velocity of the previous cycle; The first soluble substance content value is corrected based on the first water flow velocity and the change in the water flow velocity using a preset first correction model to obtain a first corrected soluble substance content value.

[0111] The step of correcting the second soluble substance content value using the second water flow rate to obtain a second corrected soluble substance content value comprises: Obtaining a water retention time according to the volume of the alkaline filter material and the second water flow velocity; Obtaining a mass transfer coefficient according to the second water flow velocity; Using a preset second correction model, the second soluble substance content value is corrected based on a preset reference water flow velocity, the water quality retention time, the mass transfer coefficient, and the second water flow velocity to obtain a second corrected soluble substance content value.

[0112] In an optional embodiment, the second calculation module 304 performs calculation based on the target soluble substance content difference to obtain the water quality pH value including: Determine the type of the alkaline filter material, select a first target water quality pH monitoring model from a plurality of preset first water quality pH monitoring models according to the type, and use the first target water quality pH monitoring model to calculate based on the target soluble substance content difference to obtain the water quality pH value; or Determine the location of the water treatment equipment, select a second target water quality PH monitoring model from a plurality of preset second water quality PH monitoring models according to the location, and use the second target water quality PH monitoring model to calculate based on the target soluble substance content difference to obtain the water quality PH value; or Determine the type of the alkaline filter material and the location of the water treatment equipment, select a third target water quality pH monitoring model from a plurality of preset third water quality pH monitoring models according to the type and the location, and use the third target water quality pH monitoring model to calculate based on the target soluble substance content difference to obtain the water quality pH value.

[0113] Among them, the multiple preset first water quality PH monitoring models, the multiple preset second water quality PH monitoring models and the multiple preset third water quality PH monitoring models are function models established by simulating the relationship between the difference between the soluble substance content before and after alkaline filter material treatment and the water quality PH value.

[0114] It should be understood that the various variations and specific embodiments of the water quality PH monitoring method provided in the above embodiment are also applicable to the water quality PH monitoring device in this embodiment. Through the detailed description of the above water quality PH monitoring method, those skilled in the art can clearly understand the implementation process of the water quality PH monitoring device in this embodiment. For the sake of brevity of the specification, it will not be described in detail here.

[0115] The water quality pH monitoring device provided in the embodiment of the present application provides a direct basis for subsequent pH value calculation by directly obtaining the first soluble substance content value upstream of the alkaline filter material in the water treatment equipment and the second soluble substance content value downstream. The target soluble substance content difference is calculated based on the second soluble substance content value and the first soluble substance content value. The target soluble substance content difference represents the amount of change in the soluble substance content of the water quality during the treatment process, which can be used to monitor the change of water quality. Finally, the water quality pH value is calculated based on the target soluble substance content difference, which greatly improves the accuracy of water quality monitoring. In addition, the present application avoids the use of expensive pH meters and reduces the cost of water quality monitoring.

[0116] The present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: Obtaining a first soluble substance content value upstream of an alkaline filter material and a second soluble substance content value downstream of the alkaline filter material in a water treatment device; Obtaining a target soluble substance content difference according to the first soluble substance content value and the second soluble substance content value; The pH value of water quality is calculated based on the difference in the target soluble substance content.

[0117] In an optional embodiment, when the computer program is executed by a processor, obtaining a target soluble substance content difference according to the first soluble substance content value and the second soluble substance content value specifically includes: Acquiring a first water flow velocity upstream of the alkaline filter material and a second water flow velocity downstream of the alkaline filter material; Correcting the first soluble substance content value using the first water flow rate to obtain a first corrected soluble substance content value; Correcting the second soluble substance content value using the second water flow rate to obtain a second corrected soluble substance content value; The target soluble substance content difference is obtained according to the first corrected soluble substance content value and the second corrected soluble substance content value.

[0118] In an optional embodiment, when the computer program is executed by a processor, the correction of the first soluble substance content value using the first water flow rate to obtain the first corrected soluble substance content value includes: Obtaining a change in water flow velocity based on the first water flow velocity and the first water flow velocity of the previous cycle; The first soluble substance content value is corrected based on the first water flow velocity and the change in the water flow velocity using a preset first correction model to obtain a first corrected soluble substance content value.

[0119] In an optional embodiment, when the computer program is executed by a processor, the correction of the second soluble substance content value using the second water flow rate to obtain the second corrected soluble substance content value includes: Obtaining a water retention time according to the volume of the alkaline filter material and the second water flow velocity; Obtaining a mass transfer coefficient according to the second water flow velocity; Using a preset second correction model, the second soluble substance content value is corrected based on a preset reference water flow velocity, the water quality retention time, the mass transfer coefficient, and the second water flow velocity to obtain a second corrected soluble substance content value.

[0120] In an optional embodiment, when the computer program is executed by a processor, the calculation based on the target soluble substance content difference is performed to obtain the water quality pH value, which includes: Determine the type of the alkaline filter material, select a first target water quality pH monitoring model from a plurality of preset first water quality pH monitoring models according to the type, and use the first target water quality pH monitoring model to calculate based on the target soluble substance content difference to obtain the water quality pH value; or Determine the location of the water treatment equipment, select a second target water quality PH monitoring model from a plurality of preset second water quality PH monitoring models according to the location, and use the second target water quality PH monitoring model to calculate based on the target soluble substance content difference to obtain the water quality PH value; or Determine the type of the alkaline filter material and the location of the water treatment equipment, select a third target water quality pH monitoring model from a plurality of preset third water quality pH monitoring models according to the type and the location, and use the third target water quality pH monitoring model to calculate based on the target soluble substance content difference to obtain the water quality pH value.

[0121] Among them, the multiple preset first water quality PH monitoring models, the multiple preset second water quality PH monitoring models and the multiple preset third water quality PH monitoring models are function models established by simulating the relationship between the difference between the soluble substance content before and after alkaline filter material treatment and the water quality PH value.

[0122] In an optional embodiment, when the computer program is executed by a processor, the following steps are further implemented: Display the water quality pH value using a preset display method; and / or The water quality PH value is compared with a preset water quality PH threshold range, and when the water quality PH value exceeds the preset water quality PH threshold range, an alarm is issued according to a preset alarm method.

[0123] The embodiment of the present application provides a direct basis for the subsequent pH value calculation by directly obtaining the first soluble substance content value upstream of the alkaline filter material and the second soluble substance content value downstream in the water treatment equipment. The target soluble substance content difference is calculated based on the second soluble substance content value and the first soluble substance content value. The target soluble substance content difference represents the amount of change in the soluble substance content of the water quality during the treatment process, which can be used to monitor the change in water quality. Finally, the water quality pH value is calculated based on the target soluble substance content difference, which greatly improves the accuracy of water quality monitoring. In addition, the present application avoids the use of expensive pH meters and reduces the cost of water quality monitoring.

[0124] See also Figure 4 , which is a schematic diagram of the structure of the water treatment device provided in the embodiment of the present application. In a preferred embodiment of the present application, the water treatment device 4 includes a memory 401 , at least one processor 402 , and at least one communication bus 403 .

[0125] Those skilled in the art should understand that Figure 4 The structure of the water treatment device shown does not constitute a limitation of the embodiments of the present application. The water treatment device 4 may also include more or less other hardware or software than shown in the figure, or a different arrangement of components.

[0126] In some embodiments, the water treatment device 4 is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application-specific integrated circuits, programmable gate arrays, digital processors, and embedded devices. The water treatment device 4 may also include client devices, which include but are not limited to any electronic product that can interact with a client through a keyboard, mouse, remote control, touchpad, or voice control device, such as a personal computer, tablet computer, smart phone, digital camera, etc.

[0127] It should be noted that the water treatment device 4 is only an example, and other existing or future electronic products that are suitable for this application should also be included in the scope of protection of this application and are included here by reference. In some embodiments, the memory 401 stores a computer program and an operating system, and when the computer program is executed by the at least one processor 402, all or part of the steps in the water quality pH monitoring method as described above are implemented. The operating system is a collection of programs that manage the hardware and software resources of the water treatment device 4, providing a unified and stable operating environment for other computer programs. The memory 401 includes a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc memory, magnetic disk memory, magnetic tape memory, or any other computer-readable medium that can be used to carry or store data. Further, the computer-readable storage medium may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function, and the like.

[0128] In some embodiments, the at least one processor 402 is the control core (Control Unit) of the water treatment device 4, and uses various interfaces and lines to connect the various components of the entire water treatment device 4, and executes various functions and processes data of the water treatment device 4 by running or executing the program or module stored in the memory 401, and calling the data stored in the memory 401. For example, when the at least one processor 402 executes the computer program stored in the memory, it implements all or part of the steps of the water quality PH monitoring method described in the embodiment of the present application; or implements all or part of the functions of the water quality PH monitoring device. The at least one processor 402 can be composed of an integrated circuit, for example, it can be composed of a single packaged integrated circuit, or it can be composed of multiple integrated circuits with the same function or different functions, including one or more central processing units (CPU), microprocessors, digital processing chips, graphics processors, and various control chips.

[0129] In some embodiments, the at least one communication bus 403 is configured to implement connection and communication between the memory 401 and the at least one processor 402, etc.

[0130] like Figure 4 As shown, the water treatment device 4 of the present application may also include a network interface, an input position, an internal memory and a display screen. The network interface is a way to connect to the Internet or a local area network, which is used to realize functions such as remote monitoring, data uploading, and firmware updating. The input position refers to the entrance on the water treatment device 4 for receiving water sources, adding filter elements or other consumables. The internal memory refers to a device for temporarily storing data inside the water treatment device 4, such as RAM (random access memory). The display screen is used to display the pH value of water quality. Although not shown, the water treatment device 4 may also include a power supply (such as a battery) for powering each component. Preferably, the power supply may be logically connected to the at least one processor 402 through a power management device, so as to realize functions such as management charging, discharging, and power consumption management through the power management device. The power supply may also include any components such as one or more DC or AC power supplies, recharging devices, power failure monitoring circuits, power converters or inverters, and power status indicators. The water treatment device 4 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0131] The above-mentioned integrated unit implemented in the form of a software function module can be stored in a computer-readable storage medium. The above-mentioned software function module is stored in a storage medium, including a number of instructions for enabling a water treatment device (which can be a personal computer, water treatment device, or network device, etc.) or a processor to execute part of the method described in each embodiment of the present application.

[0132] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0133] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

Claims

1. A water quality pH monitoring method, characterized in that: The water quality pH monitoring method comprises: Obtaining a first soluble substance content value upstream of an alkaline filter material and a second soluble substance content value downstream of the alkaline filter material in a water treatment device; Obtaining a target soluble substance content difference according to the first soluble substance content value and the second soluble substance content value; The pH value of water quality is calculated based on the difference in the target soluble substance content.

2. The water quality pH monitoring method according to claim 1, characterized in that: The step of obtaining a target soluble substance content difference value according to the first soluble substance content value and the second soluble substance content value comprises: Acquiring a first water flow velocity upstream of the alkaline filter material and a second water flow velocity downstream of the alkaline filter material; Correcting the first soluble substance content value using the first water flow rate to obtain a first corrected soluble substance content value; Correcting the second soluble substance content value using the second water flow rate to obtain a second corrected soluble substance content value; The target soluble substance content difference is obtained according to the first corrected soluble substance content value and the second corrected soluble substance content value.

3. The water quality pH monitoring method according to claim 2, characterized in that: The step of correcting the first soluble substance content value using the first water flow rate to obtain a first corrected soluble substance content value comprises: Obtaining a change in water flow velocity based on the first water flow velocity and the first water flow velocity of the previous cycle; The first soluble substance content value is corrected based on the first water flow velocity and the change in the water flow velocity using a preset first correction model to obtain a first corrected soluble substance content value.

4. The water quality pH monitoring method according to claim 2, characterized in that: The step of correcting the second soluble substance content value by using the second water flow rate to obtain a second corrected soluble substance content value comprises: Obtaining a water retention time according to the volume of the alkaline filter material and the second water flow velocity; Obtaining a mass transfer coefficient according to the second water flow velocity; Using a preset second correction model, the second soluble substance content value is corrected based on a preset reference water flow velocity, the water quality retention time, the mass transfer coefficient, and the second water flow velocity to obtain a second corrected soluble substance content value.

5. The water quality pH monitoring method according to any one of claims 1 to 4, characterized in that: The calculation based on the target soluble substance content difference to obtain the water quality pH value includes: Determine the type of the alkaline filter material, select a first target water quality pH monitoring model from a plurality of preset first water quality pH monitoring models according to the type, and use the first target water quality pH monitoring model to calculate based on the target soluble substance content difference to obtain the water quality pH value; or Determine the location of the water treatment equipment, select a second target water quality PH monitoring model from a plurality of preset second water quality PH monitoring models according to the location, and use the second target water quality PH monitoring model to calculate based on the target soluble substance content difference to obtain the water quality PH value; or Determine the type of the alkaline filter material and the location of the water treatment equipment, select a third target water quality pH monitoring model from a plurality of preset third water quality pH monitoring models according to the type and the location, and use the third target water quality pH monitoring model to calculate based on the target soluble substance content difference to obtain the water quality pH value.

6. The water quality pH monitoring method according to claim 5, characterized in that: The multiple preset first water quality PH monitoring models, the multiple preset second water quality PH monitoring models and the multiple preset third water quality PH monitoring models are function models established by simulating the relationship between the difference between the soluble substance content before and after the alkaline filter material treatment and the water quality PH value.

7. The water quality pH monitoring method according to claim 1, characterized in that: The method further comprises: Display the water quality pH value using a preset display method; and / or The water quality PH value is compared with a preset water quality PH threshold range, and when the water quality PH value exceeds the preset water quality PH threshold range, an alarm is issued according to a preset alarm method.

8. A water quality pH monitoring device, characterized in that: The device comprises: A first acquisition module is used to obtain a first soluble substance content value upstream of the alkaline filter material in the water treatment equipment; A second acquisition module, used to obtain a second soluble substance content value downstream of the alkaline filter material; A first calculation module, used for obtaining a target soluble substance content difference according to the first soluble substance content value and the second soluble substance content value; The second calculation module is used to calculate based on the target soluble substance content difference to obtain the water quality pH value.

9. A water treatment device, characterized in that: The water treatment equipment includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the water quality pH monitoring method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the water quality pH monitoring method as described in any one of claims 1 to 7 are implemented.

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