An adaptive water quality resin filter life evaluation device and method

Abstract

The present application relates to the technical field of water purification, and in particular to a self-adaptive water quality resin filter service life evaluation device and method. The device comprises an artificial water preparation mechanism, a pumping mechanism and a detection assembly. The artificial water preparation mechanism comprises a water tank, a heater, a medicine tank, a medicine injection pipeline and a nitrogen injection pipeline. The heater is arranged in the water tank, the medicine injection pipeline is in communication with the medicine tank and the water tank, and a medicine injection pump is arranged on the medicine injection pipeline. The pumping mechanism is used to pump the water to be purified in the water tank to the resin filter through a water supply pipeline. The detection assembly is used to obtain the pumping flow rate of the water to be purified, measure the water quality parameters before purification and after filtration of the water to be purified, and estimate the service life of the filter element of the resin filter according to the pumping flow rate, the water quality parameters before purification and the water quality parameters after filtration. The problem that the water quality parameters before purification in actual use are different from the water quality parameters used in tests in the prior art, which may lead to inaccurate estimation results, can be solved.

Description

Technical Field

[0001] This invention relates to the field of water purification technology, specifically to an adaptive water quality resin filter life assessment device and method. Background Technology

[0002] Resin filters are typically installed in water supply systems to remove impurities from the water, providing deep water treatment and ensuring that the water meets usage requirements, thus greatly improving people's lives.

[0003] When designing resin filters, it is necessary to assess their service life, which requires testing to evaluate the service life of the resin filters.

[0004] However, due to the different environments in which resin filters are used, the water quality before purification will also be different. If the water quality parameters before purification during actual use are different from the water quality parameters used during the test, the predicted results will be inaccurate. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the present invention aims to provide an adaptive water quality resin filter lifespan assessment device and method, which can solve the problem that the difference between the water quality parameters before purification and those used in the test in the actual use of existing technologies leads to inaccurate prediction results.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0007] On one hand, the present invention provides an adaptive water quality resin filter life assessment device, comprising:

[0008] Artificial water production device, the artificial water production device comprising:

[0009] - A water tank, used for storing water;

[0010] - A heater, which is located inside the water tank, is used to heat the water in the water tank;

[0011] - A medicine box, used to store medicines for preparing purified water;

[0012] - A medicine injection pipeline, which is connected to the medicine tank and the water tank, is equipped with a dosing pump for adding medicine from the medicine tank to the water tank;

[0013] - Nitrogen injection line, which is used to inject nitrogen into the water tank;

[0014] A pumping mechanism for pumping water to be purified into the water tank through a water supply pipe into the resin filter;

[0015] The detection component is used to obtain the pump inflow rate of the water to be purified and to measure the water quality parameters before and after purification. Based on the pump inflow rate, the water quality parameters before purification, and the water quality parameters after filtration, the lifespan of the resin filter cartridge is estimated.

[0016] In some alternative solutions, the detection component includes:

[0017] A flow meter and a first water quality measuring instrument are installed on the water supply pipeline. The flow meter is used to obtain the pumping flow rate of the water to be purified, and the first water quality measuring instrument is used to measure the water quality parameters of the water to be purified before purification.

[0018] Multi-layer sampling pipes are spaced apart along the water flow direction of the resin filter;

[0019] The second water quality measuring instrument is connected to the sampling pipe and is used to collect the filtered water quality parameters of the water flowing out of the sampling pipe at each level.

[0020] The life assessment module, which is connected to the flow meter, the first water quality measuring instrument, and the second water quality measuring instrument, is used to determine the movement speed of the failure point of the resin filter element based on the filtered water quality parameters of the water flowing out of each sampling pipe. By repeatedly acquiring the corresponding pump inflow velocity, the water quality parameters before purification, and the failure point movement speed, the module determines the relationship between the pump inflow velocity, the water quality parameters before purification, and the failure point movement speed, so as to estimate the lifespan of the resin filter element.

[0021] In some alternative configurations, each sampling conduit layer includes four sub-conduits, which are evenly spaced apart in the circumferential direction of the resin filter.

[0022] In some alternative embodiments, the second water quality measuring instrument is connected to all of the said sub-pipes in parallel via a detection pipe, and each of the said sub-pipes is equipped with a valve.

[0023] In some alternative solutions, a cooler is provided before both the first and second water quality measuring instruments.

[0024] On the other hand, the present invention provides an adaptive water quality resin filter life assessment method, which is implemented using the aforementioned adaptive water quality resin filter life assessment device, and includes the following steps:

[0025] The water in the tank is heated by a heater, the medicine in the tank is injected into the tank by a dosing pump, and nitrogen is injected into the tank by a nitrogen injection pipeline to obtain water to be purified with a set temperature, set conductivity, and set oxygen content.

[0026] The pumping mechanism pumps the water to be purified from the water tank into the resin filter through the water supply pipe;

[0027] The detection component acquires the pump inflow velocity of the water to be purified and measures the water quality parameters before and after purification. Based on the pump inflow velocity, the water quality parameters before purification, and the water quality parameters after filtration, the lifespan of the resin filter cartridge is estimated.

[0028] In some alternative solutions, the detection component acquires the pump inflow velocity of the water to be purified and measures the water quality parameters before and after purification. Based on the pump inflow velocity, the water quality parameters before purification, and the water quality parameters after filtration, it estimates the service life of the resin filter element, including:

[0029] Obtain the pumping flow rate of the water to be purified into the resin filter, the water quality parameters before purification, and the water quality parameters of the water flowing out of the sampling pipes of each layer after filtration.

[0030] Based on the filtered water quality parameters of the water flowing out of the sampling pipes at each level, determine the movement speed of the resin filter cartridge failure point.

[0031] Based on multiple acquisitions of the corresponding pump inflow velocity, water quality parameters before purification, and failure point movement speed, the relationship between the pump inflow velocity, water quality parameters before purification, and failure point movement speed is determined.

[0032] The lifespan of the resin filter cartridge is estimated based on the relationship between the pump inflow velocity, the water quality parameters before purification, and the speed at which the failure point moves.

[0033] In some alternative solutions, determining the movement speed of the resin filter cartridge failure point based on the filtered water quality parameters of the water flowing out of each sampling pipe includes:

[0034] Real-time monitoring of the filtered water quality parameters of the water flowing out of the sampling pipes at each level;

[0035] Record the time when the filtered water quality parameters of the water flowing out of the sampling pipes at each level do not meet the set water quality parameter thresholds;

[0036] The movement speed of the resin filter cartridge failure point is determined based on the time when the filtered water quality parameters of the water flowing out of each sampling pipe do not meet the set water quality parameter threshold.

[0037] In some alternative solutions, the relationship between the pump inflow velocity, the water quality parameters before purification, and the failure point movement velocity is determined by repeatedly obtaining the corresponding pump inflow velocity, water quality parameters before purification, and failure point movement velocity, including:

[0038] Establish a multiple regression model for pump inflow velocity, pre-purification water quality parameters, and failure point movement velocity;

[0039] The corresponding pump inflow velocity, pre-purification water quality parameters, and failure point movement speed were obtained multiple times and substituted into a multiple regression model for analysis, resulting in the multiple regression prediction model u=a*κ+b×v in -c, where u is the failure point movement speed under the current operating conditions, κ is the currently monitored water quality parameter before purification, and v in Let be the current pump inflow velocity, a be the water quality parameter coefficient before purification, b be the pump inflow velocity coefficient, and c be the analytical constant.

[0040] In some alternative solutions, the estimation of the resin filter cartridge's lifespan based on the relationship between the pump inflow rate, pre-purification water quality parameters, and the failure point movement speed includes:

[0041] According to formula H now =H prev -v prev ·(t now -t prev Determine the current failure point height H. now ;

[0042] According to the formula Determine the remaining running time T 剩余 ;

[0043] According to formula V 剩余 =Q now ·T 剩余 Determine the remaining water production capacity V 剩余 ;

[0044] Among them, H prev For t prev The height of the failure point at time v prev For t prev The speed at which the failure point moves at any given time, H now t is the current failure point height. now For the current moment, v now The current movement speed of the failure point, Q now This represents the current pump inflow rate.

[0045] Compared with existing technologies, the advantages of this invention are as follows: A heater heats the water in the tank; a dosing pump injects chemicals from a medicine tank into the tank; and a nitrogen injection pipeline injects nitrogen into the tank to obtain water with a set temperature, conductivity, and oxygen content. A pumping mechanism pumps the water into the tank through a water supply pipeline to the resin filter. A detection component acquires the pumping flow rate of the water and measures the water quality parameters before and after purification. Based on the pumping flow rate, the water quality parameters before and after purification, the lifespan of the resin filter element is estimated. This solution can produce pre-purification water with any water quality parameters, allowing for testing and evaluation of the resin filter under any water quality environment. The artificial water production mechanism can produce the water quality conditions required for the resin filter's use, eliminating the need to obtain water from the resin filter's operating environment for evaluation testing. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 This is a schematic diagram of the artificial water production mechanism in an embodiment of the present invention;

[0048] Figure 2 This is a schematic diagram of the detection component in an embodiment of the present invention.

[0049] Figure 3 This is a flowchart of the adaptive resin filter life assessment method in an embodiment of the present invention.

[0050] Figure 4 This is a flowchart of step S3 in an embodiment of the present invention.

[0051] In the diagram: 1. Pumping mechanism; 2. Flow meter; 3. First water quality measuring instrument; 4. Sampling pipeline; 41. Ball valve; 42. Instrument valve; 43. Sub-pipeline; 5. Second water quality measuring instrument; 35. Cooler; 351. Discharge pipeline; 352. Thermometer; 353. Control valve; 6. Artificial water production mechanism; 61. Water tank; 611. Sampling port; 612. Level gauge; 613. Pressure gauge; 614. Exhaust valve; 615. Safety valve; 62. Heater; 621. Temperature controller; 63. Chemical tank; 64. Chemical dosing pump; 65. Nitrogen injection pipeline; 7. Resin filter; 8. Detection pipeline; 9. Post-detection water storage tank. Detailed Implementation

[0052] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0053] The embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0054] like Figure 1 and Figure 2 As shown, the present invention provides an adaptive water quality resin filter life assessment device, comprising: an artificial water production mechanism 6, a pumping mechanism 1, and a detection component.

[0055] The artificial water production mechanism 6 includes: a water tank 61, a heater 62, a medicine tank 63, a medicine injection pipeline, and a nitrogen injection pipeline 65.

[0056] Water tank 61 is used for water storage; heater 62 is installed inside water tank 61 for heating the water in water tank 61; medicine tank 63 is used for storing medicines for preparing water to be purified; medicine injection pipeline is connected to medicine tank 63 and water tank, and medicine injection pipeline is equipped with dosing pump 64 for adding medicines from medicine tank 63 to water tank 61; nitrogen injection pipeline 65 is used for injecting nitrogen into water tank 61; pumping mechanism 1 is used for pumping water to be purified into resin filter 7 through water supply pipeline; detection component is used to obtain the pumping flow rate of water to be purified and measure the water quality parameters before purification and after filtration, and estimate the service life of resin filter 7 filter element based on pumping flow rate, water quality parameters before purification and water quality parameters after filtration.

[0057] In use, heater 62 heats the water in water tank 61, dosing pump 64 injects chemicals from medicine tank 63 into water tank 61, and nitrogen is injected into water tank 61 through nitrogen injection pipe 65 to obtain water to be purified with a set temperature, set conductivity, and set oxygen content. Pumping mechanism 1 pumps the water to be purified from water tank 61 into resin filter 7 through water supply pipe. Detection component acquires the pumping flow rate of the water to be purified and measures the water quality parameters before and after purification. Based on the pumping flow rate, water quality parameters before and after purification, the service life of the resin filter 7 filter element is estimated. This solution can produce pre-purification water with any water quality parameters, allowing for testing and evaluation of the resin filter 7 under any water quality environment. The artificial water production mechanism 6 can produce the water quality conditions required for the resin filter during use, eliminating the need to obtain water from the resin filter's operating environment for evaluation testing.

[0058] For example, dissolving 24.53g of NaCl, 5.20g of MgCl2, 4.09g of Na2SO4, and 1.16g of CaCl2 in 1L of demineralized water can artificially prepare water with a conductivity of approximately 400mS / cm. In practical applications, different chemicals can be added to the water to obtain water with different conductivity levels.

[0059] In addition, in this example, the water tank 61 is also equipped with a sampling port 611 for taking out the water to be purified in the water tank 61 to check whether it meets the test requirements. The outer wall of the water tank 61 is also connected to a level gauge 612 for observing the water level in the water tank 61. The top of the water tank 61 is also equipped with a pressure gauge 613 for monitoring the water pressure in the water tank 61, and is equipped with an exhaust pipe with an exhaust valve 614. The top of the water tank 61 is also equipped with a safety valve 615, which can release pressure when the pressure in the water tank 61 reaches the set value to ensure the safety of the water tank 61. In addition, the heater 62 is also equipped with a temperature controller 621 for monitoring the temperature of the water in the water tank 61, so as to control the temperature of the water in the water tank in conjunction with the heater 62.

[0060] In some optional embodiments, the detection components include: a pumping mechanism 1, a flow meter 2 and a first water quality measuring instrument 3, a multi-layer sampling pipe 4, a second water quality measuring instrument 5, and a life assessment module.

[0061] The system includes a pumping mechanism 1 for pumping water to be purified into the resin filter through a water supply pipe; a flow meter 2 and a first water quality measuring instrument 3 are installed on the water supply pipe, with the flow meter 2 used to obtain the pumping flow rate of the water to be purified and the first water quality measuring instrument 3 used to measure the water quality parameters of the water before purification; multi-layer sampling pipes 4 are spaced along the water flow direction of the resin filter; a second water quality measuring instrument 5 is connected to the sampling pipes 4 and is used to collect the filtered water quality parameters of the water flowing out of the sampling pipes 4; and a life assessment module is connected to the flow meter 2, the first water quality measuring instrument 3, and the second water quality measuring instrument 5 to determine the movement speed of the resin filter cartridge failure point based on the filtered water quality parameters of the water flowing out of each sampling pipe 4. By repeatedly obtaining the corresponding pumping flow rate, the water quality parameters before purification, and the failure point movement speed, the module determines the relationship between the pumping flow rate, the water quality parameters before purification, and the failure point movement speed to estimate the lifespan of the resin filter.

[0062] When evaluating the lifespan of a resin filter using an adaptive water quality resin filter lifespan assessment device, a pumping mechanism 1 pumps water to be purified into the resin filter through a water supply pipe. A flow meter 2 installed on the water supply pipe obtains the pumping velocity of the water into the resin filter. A first water quality measuring instrument 3 installed on the water supply pipe obtains the water quality parameters before purification. A second water quality measuring instrument 5 obtains the filtered water quality parameters of the water flowing out of each sampling pipe 4. Based on the filtered water quality parameters of the water flowing out of each sampling pipe 4, the movement speed of the resin filter element failure point is determined. By repeatedly obtaining the corresponding pumping velocity, pre-purification water quality parameters, and failure point movement speed, the relationship between the pumping velocity, pre-purification water quality parameters, and failure point movement speed is determined. Based on this relationship, the lifespan of the resin filter is then estimated. By obtaining the filtered water quality parameters at various points along the water flow direction of the resin filter, determining the movement speed of the failure point, and correlating the speed of the failure point with the pumping velocity and pre-purification water quality parameters, the lifespan of the resin filter can be estimated more accurately.

[0063] In this example, the pumping mechanism 1 is a peristaltic pump. The water flow direction refers to the flow direction from the inlet to the outlet in the resin filter during filtration. Additionally, a post-test water storage tank 9 is provided to store the water after testing.

[0064] In some optional embodiments, both the first water quality measuring instrument 3 and the second water quality measuring instrument 5 are conductivity meters or dissolved oxygen meters.

[0065] The water quality parameters before purification and after filtration can be conductivity or oxygen content.

[0066] The filtered water quality parameters can be set to meet an effluent conductivity of 0.6 μS / cm. When the effluent conductivity reaches 0.6 μS / cm, the filter cartridge is considered to have failed. In this case, both the pre-purification and post-purification water quality parameters collected will be conductivity meters, and both the first water quality meter 3 and the second water quality meter 5 will be conductivity meters. Alternatively, the filtered water quality parameters can be set to meet a set oxygen content. In this case, both the pre-purification and post-purification water quality parameters collected will be oxygen content meters, and both the first and second water quality meters 3 and 5 will be dissolved oxygen meters.

[0067] In some alternative embodiments, a cooler 35 is provided before both the first water quality measuring instrument 3 and the second water quality measuring instrument 5.

[0068] In this embodiment, since a heater 62 is used to heat the water in the water tank 61 during the preparation of the water to be purified, but both the first water quality measuring instrument 3 and the second water quality measuring instrument 5 can only monitor water quality at a set temperature, a cooler 35 needs to be installed before both the first water quality measuring instrument 3 and the second water quality measuring instrument 5. Furthermore, when the first water quality measuring instrument 3 and the second water quality measuring instrument 5 are connected to the main pipeline, they are connected to the main pipeline through a detection branch.

[0069] In some optional embodiments, the cooler 35 is provided with a discharge pipe 351 at the end in the water flow direction, and a thermometer 352 and a control valve 353 are provided in sequence in the outlet direction of the discharge pipe 351.

[0070] In this embodiment, a control valve is provided before the first water quality measuring instrument 3 and the second water quality measuring instrument 5. When detecting water quality parameters, the control valve is first closed, and the control valve 353 provided on the discharge pipe 351 is opened, so that the water first passes through the discharge pipe 351 at the end of the cooler 35. After the temperature is detected by the thermometer 352, when the temperature reaches the detection requirement, the control valve 353 provided on the discharge pipe 351 is closed, and the control valves provided before the first water quality measuring instrument 3 and the second water quality measuring instrument 5 are opened, so that the first water quality measuring instrument 3 and the second water quality measuring instrument 5 can detect the water quality.

[0071] In some alternative embodiments, each sampling conduit 4 includes four sub-conduits 43, which are evenly spaced in the circumferential direction of the resin filter 7.

[0072] In this embodiment, during sampling, the four sub-pipes 43 on each sampling pipe 4 take samples simultaneously, and then the samples are collected on the main pipe and detected by the second water quality measuring instrument 5. This makes the water samples more uniform and the detection results more accurate.

[0073] In some alternative embodiments, the second water quality measuring instrument 5 is connected to all the parallel sampling pipes 4 via a detection pipe 8, and each sampling pipe 4 is equipped with a valve.

[0074] In this embodiment, all sampling pipes 4 are connected in parallel and then connected to the second water quality measuring instrument 5 through the same sampling pipe. The valves include a ball valve 41 and an instrument valve 42 connected in series on the sampling pipe 4. The ball valve 41 is used to directly close the sampling pipe 4 when it is not in use or when the corresponding position has failed, and to open when sampling. The instrument valve 42 is used to open when sampling from the current sampling pipe 4. With this setting, all the sampling pipes 4 can share a second water quality measuring instrument 5. The ball valve 41 and the instrument valve 42 are opened sequentially from the top of the resin filter, and closed when they fail. Then the valve on the next sampling pipe 4 is opened.

[0075] In other embodiments, the detection pipe 8, which is connected to all the parallel sampling pipes 4, is extended and connected to the water supply pipe, and a valve is installed. By directly connecting the detection pipe 8 to the water supply pipe, the water to be purified is directly introduced into the second water quality measuring instrument 5. This allows both the water to be purified and the filtered water quality parameters to be collected using the second water quality measuring instrument 5. This eliminates the need for the first water quality measuring instrument 3 on the water supply pipe, or allows the second water quality measuring instrument 5 to be used to detect the water quality parameters of the water to be purified when the first water quality measuring instrument 3 is damaged. Alternatively, the water quality parameter values ​​obtained by the first water quality measuring instrument 3 and the second water quality measuring instrument 5 can be compared to calibrate both instruments.

[0076] During the experiment, tests were conducted on test water with various conductivity levels. Similarly, various pumping flow rates were used to obtain different pumping flow rates and failure point movement speeds under different conductivity levels.

[0077] In other embodiments, two sets of resin filters can be set up, and the two sets of resin filters can be connected in parallel and in series through pipelines. A common pumping mechanism 1 is used, two sets of sampling pipelines 4 are respectively set on the two sets of resin filters, and two sets of second water quality measuring instruments 5 and life assessment modules correspond to the two sets of resin filters respectively, so as to evaluate the life of resin filters under different usage environments.

[0078] like Figure 3 As shown, on the other hand, the present invention also provides an adaptive water quality resin filter life assessment method, implemented using the aforementioned adaptive water quality resin filter life assessment device, comprising the following steps:

[0079] S1: Heat the water in the water tank 61 using heater 62, inject the medicine in the medicine tank 63 into the water tank 61 using dosing pump 64, and inject nitrogen into the water tank 61 using nitrogen injection pipeline 65 to obtain water to be purified with a set temperature, set conductivity, and set oxygen content.

[0080] S2: Pumping mechanism 1 pumps water to be purified into water tank 61 into resin filter 7 through water supply pipe.

[0081] S3: The detection component acquires the pump flow rate of the water to be purified and measures the water quality parameters before purification and after filtration. Based on the pump flow rate, the water quality parameters before purification, and the water quality parameters after filtration, the lifespan of the resin filter 7 cartridge is estimated.

[0082] This solution allows for the preparation of pre-purification water with any water quality parameters, enabling testing and evaluation of the resin filter 7 under any water quality environment. The artificial water production mechanism 6 can generate the water quality conditions required for the resin filter's use, eliminating the need to obtain water from the resin filter's operating environment for evaluation testing. This improves testing efficiency and saves on testing costs.

[0083] like Figure 4 As shown, in some optional embodiments, step S3 includes the following steps:

[0084] S31: Obtain the pumping flow rate of the water to be purified pumped into the resin filter, the water quality parameters before purification, and the water quality parameters after filtration of the water flowing out of each sampling pipe 4.

[0085] In this embodiment, the pumping mechanism 1 pumps water to be purified into the resin filter through the water supply pipe. The flow rate of the water to be purified into the resin filter is obtained by the flow meter 2 installed on the water supply pipe. The water quality parameters before purification are obtained by the first water quality measuring instrument 3 installed on the water supply pipe. The water quality parameters after filtration of the water flowing out of the sampling pipes 4 at each layer are obtained by the second water quality measuring instrument 5.

[0086] S32: Determine the movement speed of the resin filter cartridge failure point based on the filtered water quality parameters of the water flowing out of each sampling pipe 4.

[0087] In some optional embodiments, step S32 includes:

[0088] S321: Real-time monitoring of the filtered water quality parameters of the water flowing out of the sampling pipes 4 at each level.

[0089] S322: Record the time when the filtered water quality parameters of the water flowing out of each sampling pipe 4 do not meet the set water quality parameter threshold.

[0090] In some optional embodiments, in addition to the influent conductivity monitoring meter, there are three second water quality measuring instruments 5 (conductivity meters) that can simultaneously monitor the effluent from the three sampling ports in real time. The experiment begins by monitoring the influent, the first sampling port, the second sampling port, and the third sampling port. When the first sampling port fails, monitoring switches to the second, third, and fourth sampling ports, and so on. The influent conductivity and the effluent conductivity from the third sampling port are recorded in real time using a data acquisition device. The first, second, and third sampling ports are numbered sequentially from top to bottom along the sampling pipes 4 of the resin filter.

[0091] Alternatively, all the sampling pipes 4 mentioned above can be connected in parallel and then connected to the second water quality measuring instrument 5 through the same sampling pipe. The valves include a ball valve 41 and an instrument valve 42 connected in series on the sampling pipe 4. The ball valve 41 is used to directly close the sampling pipe 4 when it is not in use or when the corresponding position has failed, and to open it when sampling. The instrument valve 42 is used to open when sampling from the current sampling pipe 4. With this setting, all the sampling pipes 4 can share a second water quality measuring instrument 5. The ball valve 41 and the instrument valve 42 are opened sequentially from the top of the resin filter, and closed when they fail. Then the valve on the next sampling pipe 4 is opened.

[0092] S323: Determine the moving speed of the resin filter cartridge failure point based on the time when the filtered water quality parameters of the water flowing out of each sampling pipe 4 do not meet the set water quality parameter threshold.

[0093] In a specific embodiment, after repeated experiments, with the water quality parameter set to conductivity, the following data were obtained, as shown in Table 1:

[0094] Table 1 Data Collection

[0095] <![CDATA[κ1]]> <![CDATA[v in1 ]]> <![CDATA[u1]]> …… …… …… <![CDATA[κ i ]]> <![CDATA[v ini ]]> <![CDATA[u i ]]> …… …… …… <![CDATA[κ n ]]> <![CDATA[v inn ]]> <![CDATA[u n ]]>

[0096] S33: Based on multiple acquisitions of the corresponding pump inflow velocity, water quality parameters before purification, and failure point movement speed, determine the relationship between the pump inflow velocity, water quality parameters before purification, and failure point movement speed.

[0097] In some optional embodiments, step S33 includes:

[0098] S331: Establish a multiple regression model for pump inflow velocity, pre-purification water quality parameters, and failure point movement speed.

[0099] In this example, the established multiple regression model is a bivariate quadratic regression equation as follows:

[0100] y = a0 + a1x1 + a2x2 + a3x1 2 +a4x2 2 +a5x1x2

[0101] Multinomial regression can be used to solve various nonlinear regression problems. Each function can be piecewise analyzed using polynomials. When solving nonlinear problems, multinomial regression can be used to transform the variables, thus converting the nonlinear problem into a linear one. The form of a bivariate linear equation is:

[0102] y = a0 + a1d1 + a2d2 + ... + a n d n

[0103] S332: The corresponding pump inflow velocity, pre-purification water quality parameters, and failure point movement speed obtained multiple times are substituted into the multiple regression model for analysis, resulting in the multiple regression prediction model u=a*κ+b×v in -c, where u is the failure point movement speed under the current operating conditions, κ is the currently monitored water quality parameter before purification, and v in Let be the current pump inflow velocity, a be the water quality parameter coefficient before purification, b be the pump inflow velocity coefficient, and c be the analytical constant.

[0104] The study involved three variables, one of which was the conductivity of the resin filter influent x. 1i One is the pump inflow rate x of the resin filter. 2i The other is the failure point movement speed y of the resin filter. i Three data points are used to construct a data point (x). 1i ,x 2i ,y i Then, the least squares method is used to construct the fitting function.

[0105] After substituting the data from Table 1 into the multiple regression model and performing analytical fitting and correction, we obtain:

[0106] u=0.255659722*x1+0.473834751×x2-0.510783775

[0107] That is: u=0.255659722*κ+0.473834751×v in -0.510783775

[0108] Where a is 0.255659722, b is 0.473834751, and c is -0.510783775.

[0109] According to the formula u=a*κ+b×v in The `-c` option provides the instantaneous velocity of the failure point at any given time. Combined with historical monitoring data, the failure velocity and cumulative movement distance at each monitoring point are calculated. When the cumulative movement distance reaches the resin filling height, or the remaining height decreases to 0, it means the resin filter has reached its operational end.

[0110] The accuracy of the prediction model was verified by comparing the calculated remaining height at the actual failure time of each sampling port. In most cases, the model can accurately predict the failure height. Ultimately, when the actual failure occurred, the calculated remaining height was 8.40 cm. Assuming the resin filter continued operating under the then-current conditions, based on the speed at which the failure point moved, the model would display a remaining operating time of 17.60 hours. Therefore, the absolute error of the prediction model is 17.60 hours, and the relative error relative to the total operating time of 521.2 hours is 3.38%.

[0111] S34: Estimate the service life of the resin filter based on the relationship between the pump inflow velocity, the water quality parameters before purification, and the speed at which the failure point moves.

[0112] In some optional embodiments, step S34 includes:

[0113] S341: According to formula H now =H prev -v prev ·(t now -t prev Determine the current failure point height H. now .

[0114] S342: According to the formula Determine the remaining running time T 剩余 .

[0115] S343: According to formula V 剩余 =Q now ·T 剩余 Determine the remaining water production capacity V 剩余 .

[0116] Among them, H prev For t prev The height of the failure point at time v prev For t prev The speed at which the failure point moves at any given time, H now t is the current failure point height. now For the current moment, v now The current movement speed of the failure point, Q now This represents the current pump inflow rate.

[0117] In actual marine applications, the calculated multiple linear regression model is linked with the monitoring of inlet water conductivity and pump inflow velocity. Whenever either of these exceeds a set limit (e.g., conductivity change exceeding 0.10 μS / cm, inlet water velocity change exceeding 10 m / h), a calculation is performed to obtain the failure point movement velocity v under the current operating condition. now Update the current failure point height Hnow .

[0118] In summary, this solution can produce pre-purification water with any water quality parameters, enabling testing and evaluation of the resin filter 7 under any water quality environment. The artificial water production mechanism 6 can produce the water quality conditions required for the resin filter's use, eliminating the need to obtain water from the resin filter's operating environment for evaluation tests. This improves testing efficiency and saves on testing costs.

[0119] In addition, the pumping mechanism 1 pumps water to be purified into the resin filter through the water supply pipe. A flow meter 2 installed on the water supply pipe obtains the pumping velocity of the water into the resin filter. A first water quality measuring instrument 3 installed on the water supply pipe obtains the water quality parameters before purification, and a second water quality measuring instrument 5 obtains the filtered water quality parameters of the water flowing out of each sampling pipe 4. Based on the filtered water quality parameters of the water flowing out of each sampling pipe 4, the movement speed of the resin filter element failure point is determined. By repeatedly obtaining the corresponding pumping velocity, water quality parameters before purification, and failure point movement speed, the relationship between the pumping velocity, water quality parameters before purification, and failure point movement speed is determined. Based on this relationship, the service life of the resin filter is estimated. By obtaining the filtered water quality parameters at each point along the water flow direction of the resin filter, determining the movement speed of the failure point, and correlating the speed of the failure point with the pumping velocity and water quality parameters before purification, the service life of the resin filter can be estimated more accurately.

[0120] In the description of this application, it should be noted that the terms "upper," "lower," etc., indicating the orientation or positional relationship are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application. Unless otherwise expressly specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication between two elements. For those skilled in the art, the specific meaning of the above terms in this application can be understood according to the specific circumstances.

[0121] It should be noted that in this application, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0122] The above description is merely a specific embodiment of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. An adaptive water quality resin filter life assessment device, characterized in that, include: Artificial water production mechanism (6), wherein the artificial water production mechanism (6) comprises: - Water tank (61), which is used for water storage; - A heater (62), which is located inside the water tank (61), is used to heat the water in the water tank (61); - Medicine box (63), which is used to store medicines for preparing water to be purified; - A drug injection pipeline is connected to the medicine tank (63) and the water tank. A drug injection pump (64) is provided on the drug injection pipeline to add the medicine in the medicine tank (63) to the water tank (61). - Nitrogen injection line (65), which is used to inject nitrogen into the water tank (61); A pumping mechanism (1) is used to pump water to be purified into the water tank (61) through a water supply pipe to the resin filter (7); The detection component is used to obtain the pump inflow rate of the water to be purified and to measure the water quality parameters before purification and after filtration. Based on the pump inflow rate, the water quality parameters before purification, and the water quality parameters after filtration, the service life of the resin filter (7) element is estimated. The detection component includes: A flow meter (2) and a first water quality measuring instrument (3) are installed on the water supply pipeline. The flow meter (2) is used to obtain the pumping flow rate of the water to be purified, and the first water quality measuring instrument (3) is used to measure the water quality parameters of the water to be purified before purification. Multi-layer sampling pipes (4) are provided at intervals along the water flow direction of the resin filter (7); The second water quality measuring instrument (5) is connected to the sampling pipe (4) and is used to collect the filtered water quality parameters of the water flowing out of each sampling pipe (4). The life assessment module is connected to the flow meter (2), the first water quality measuring instrument (3), and the second water quality measuring instrument (5) to determine the movement speed of the filter element failure point of the resin filter (7) based on the filtered water quality parameters of the water flowing out of each sampling pipe (4). Based on the multiple acquisitions of the corresponding pump inflow velocity, the water quality parameters before purification, and the failure point movement speed, the relationship between the pump inflow velocity, the water quality parameters before purification, and the failure point movement speed is determined to estimate the lifespan of the resin filter (7) filter element.

2. The adaptive water quality resin filter life assessment device as described in claim 1, characterized in that, Each sampling pipe (4) includes four sub-pipes (43), which are evenly spaced in the circumferential direction of the resin filter (7).

3. The adaptive water quality resin filter life assessment device as described in claim 2, characterized in that, The second water quality measuring instrument (5) is connected to all the parallel sub-pipes (43) through a detection pipe (8), and each sub-pipe (43) is equipped with a valve.

4. The adaptive water quality resin filter life assessment device as described in claim 1, characterized in that, A cooler (35) is provided before the first water quality measuring instrument (3) and the second water quality measuring instrument (5).

5. An adaptive water quality resin filter lifespan assessment method, characterized in that, The adaptive water quality resin filter life assessment device according to claim 1 is used to achieve this, including the following steps: The water in the water tank (61) is heated by the heater (62), the medicine in the medicine tank (63) is injected into the water tank (61) by the dosing pump (64), and nitrogen is injected into the water tank (61) by the nitrogen injection pipeline (65) to obtain water to be purified with a set temperature, set conductivity and set oxygen content. The pumping mechanism (1) pumps the water to be purified into the water tank (61) into the resin filter (7) through the water supply pipe; The detection component obtains the pump flow rate of the water to be purified and measures the water quality parameters before purification and the water quality parameters after filtration. Based on the pump flow rate, the water quality parameters before purification and the water quality parameters after filtration, the service life of the resin filter (7) cartridge is estimated.

6. The adaptive water quality resin filter lifespan assessment method as described in claim 5, characterized in that, The detection component acquires the pump inflow velocity of the water to be purified and measures the water quality parameters before purification and after filtration. Based on the pump inflow velocity, the water quality parameters before purification, and the water quality parameters after filtration, it estimates the service life of the resin filter (7) element, including: Obtain the pumping flow rate of the water to be purified into the resin filter (7), the water quality parameters before purification, and the water quality parameters after filtration of the water flowing out of the sampling pipes (4) of each layer. Based on the filtered water quality parameters of the water flowing out of each sampling pipe (4), determine the moving speed of the failure point of the resin filter (7) cartridge. Based on multiple acquisitions of the corresponding pump inflow velocity, water quality parameters before purification, and failure point movement speed, the relationship between the pump inflow velocity, water quality parameters before purification, and failure point movement speed is determined. The service life of the resin filter (7) cartridge is estimated based on the relationship between the pump flow rate, the water quality parameters before purification, and the movement speed of the failure point.

7. The adaptive water quality resin filter lifespan assessment method as described in claim 6, characterized in that, The determination of the movement speed of the failure point of the resin filter (7) element based on the filtered water quality parameters of the water flowing out of each sampling pipe (4) includes: Real-time monitoring of the filtered water quality parameters of the water flowing out of the sampling pipes (4) at each level; Record the time when the filtered water quality parameters of the water flowing out of the sampling pipes (4) of each layer do not meet the set water quality parameter threshold. Based on the time when the filtered water quality parameters of the water flowing out of each sampling pipe (4) do not meet the set water quality parameter threshold, the moving speed of the failure point of the resin filter (7) is determined.

8. The adaptive water quality resin filter lifespan assessment method as described in claim 6, characterized in that, Based on multiple acquisitions of corresponding pump inflow velocity, pre-purification water quality parameters, and failure point movement velocity, the relationship between pump inflow velocity, pre-purification water quality parameters, and failure point movement velocity is determined, including: Establish a multiple regression model for pump inflow velocity, pre-purification water quality parameters, and failure point movement velocity; The corresponding pump inflow velocity, pre-purification water quality parameters, and failure point movement velocity were obtained multiple times and then analyzed in a multiple regression model to obtain a multiple regression prediction model. Where u is the failure point movement speed under the current operating conditions. These are the water quality parameters monitored so far before purification. Given the current pump inflow rate, These are the coefficients of water quality parameters before purification. The pump inflow velocity coefficient, is an analytical constant.

9. The adaptive water quality resin filter lifespan assessment method as described in claim 6, characterized in that, The method for estimating the service life of the resin filter (7) element based on the relationship between the pump inflow velocity, the water quality parameters before purification, and the failure point movement speed includes: According to the formula Determine the current failure point height. ; According to the formula Determine the remaining running time ; According to the formula Determine the remaining water production capacity ; in, for The height of the failure point at any given moment. for The speed at which the failure point moves at any given moment. The current failure point height, For the current moment, The current movement speed of the failure point. This represents the current pump inflow rate.

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