Resin filter life assessment device and method

Abstract

The present invention relates to the technical field of water purification, and in particular to a device and method for evaluating the life of a resin filter. The device comprises: a pumping mechanism for pumping water to be purified into a resin filter through a water supply pipe; a flow meter for obtaining the pumping flow rate of the water to be purified; a first water quality measuring instrument for measuring the water quality parameters of the water to be purified before purification; a plurality of sampling pipes for being arranged at intervals along the water flow direction of the resin filter; a second water quality measuring instrument connected to the sampling pipe to collect the filtered water quality parameters of the water flowing out of the sampling pipe; a life evaluation module determines the movement speed of the failure point of the resin filter element according to the filtered water quality parameters of the water flowing out of each sampling pipe, thereby estimating the service life of the resin filter according to the relationship between the pumping flow rate, the water quality parameters before purification and the movement speed of the failure point. The present application can solve the problem that the prior art can only monitor the filtered water of the filter element, but cannot predict the life of the filter element.

Description

Technical Field

[0001] The invention relates to the technical field of water purification, and in particular to a device and method for evaluating the life of a resin filter. Background Art

[0002] Resin filters are usually installed in water pipes to filter out impurities in the water, deeply treat the water, ensure that the water meets usage needs, and provide great convenience for people's lives.

[0003] The filter element life monitoring unit in the existing resin filter records the cumulative flow signal parameters through the flow meter and transmits them to the filter element flow control-display device. The filter element flow control-display device calculates the remaining service life of each filter element according to the preset total amount of water flowing through each filter element. Alternatively, the use of the filter can be monitored by an indicator.

[0004] However, the existing monitoring methods all monitor the water quality after the water passes through the filter element, and monitor the water after the filter element is filtered. This method cannot predict the life of the filter element. Summary of the invention

[0005] In view of the defects existing in the prior art, the purpose of the present invention is to provide a resin filter life assessment device and method, which can solve the problem that the prior art can only monitor the filtered water of the filter element but cannot predict the life of the filter element.

[0006] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0007] In one aspect, the present invention provides a resin filter life assessment device, comprising:

[0008] A pumping mechanism, which is used to pump water to be purified into the resin filter through a water supply pipeline;

[0009] A flow meter and a first water quality measuring instrument, which are arranged 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;

[0010] A plurality of sampling pipes arranged at intervals along the water flow direction of the resin filter;

[0011] A second water quality measuring instrument, which is connected to the sampling pipeline and is used to collect water quality parameters of the filtered water flowing out of the sampling pipeline;

[0012] The life evaluation module is connected to the flow meter, the first water quality measuring instrument and the second water quality measuring instrument by signal, and is used to determine the movement speed of the failure point of the resin filter element according to the filtered water quality parameters of the water flowing out of each sampling pipeline, and to determine the relationship between the pumping flow rate, the water quality parameters before purification and the movement speed of the failure point according to multiple acquisitions of the corresponding pumping flow rate, the water quality parameters before purification and the movement speed of the failure point, so as to estimate the service life of the resin filter.

[0013] In some optional schemes, the second water quality measuring instrument is connected to all the sampling pipes in parallel via a detection pipe, and each of the sampling pipes is provided with a valve.

[0014] In some optional schemes, the valve includes an instrument valve and a ball valve arranged in sequence from the resin filter to the detection pipeline.

[0015] In some optional solutions, a cooler is provided before the first water quality measuring instrument and the second water quality measuring instrument.

[0016] In some optional schemes, a discharge pipe is provided at the end of the water flow direction of the cooler, and a thermometer and a control valve are provided in sequence on the discharge pipe toward the outlet direction.

[0017] In some optional schemes, the first water quality measuring instrument and the second water quality measuring instrument are both conductivity meters or dissolved oxygen meters.

[0018] In another aspect, the present invention provides a resin filter life assessment method, which is implemented using the above-mentioned resin filter life assessment device, and includes the following steps:

[0019] Obtaining 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 pipeline;

[0020] Determine the movement speed of the failure point of the resin filter element according to the water quality parameters after filtration of the outflow water from each sampling pipeline;

[0021] Determine the relationship between the pumping flow rate, the water quality parameters before purification and the moving speed of the failure point according to the corresponding pumping flow rate, the water quality parameters before purification and the moving speed of the failure point obtained multiple times;

[0022] The service life of the resin filter is estimated based on the relationship between the pump flow rate, the water quality parameters before purification and the speed of movement of the failure point.

[0023] In some optional solutions, the method of determining the movement speed of the failure point of the resin filter element according to the filtered water quality parameters of the water flowing out of each sampling pipeline includes:

[0024] Real-time monitoring of the filtered water quality parameters of the outflow water from each sampling pipeline;

[0025] Record the time when the filtered water quality parameters of the water flowing out of each sampling pipeline do not meet the set water quality parameter threshold;

[0026] The moving speed of the failure point of the resin filter element is determined according to the time when the filtered water quality parameters of the water flowing out of each sampling pipeline do not meet the set water quality parameter threshold.

[0027] In some optional solutions, the relationship between the pumping flow rate, the water quality parameter before purification and the moving speed of the failure point is determined based on the multiple acquisitions of the corresponding pumping flow rate, the water quality parameter before purification and the moving speed of the failure point, including:

[0028] A multivariate regression model was established for pumping flow rate, pre-purification water quality parameters, and failure point moving speed;

[0029] The corresponding pump flow rate, water quality parameters before purification and failure point moving speed are obtained multiple times and brought into the multivariate regression model for analysis to obtain the multivariate regression prediction model u=a*k+b×v in -c, where u is the moving speed of the failure point under the current working condition, k is the currently monitored water quality parameter before purification, and v in is the current pump flow rate, a is the water quality parameter coefficient before purification, b is the pump flow rate coefficient, and c is the analytical constant.

[0030] In some optional solutions, the method of estimating the service life of the resin filter based on the relationship between the pump flow rate, the water quality parameter before purification and the speed of movement of the failure point includes:

[0031] According to the formula H now =H prev -v prev ·(t now -t prev ), determine the current failure point height H now ;

[0032] According to the formula Determine the remaining running time T 剩余 ;

[0033] According to the formula V 剩余 =Q now ·T 剩余 , determine the remaining water production V 剩余 ;

[0034] Among them, H prev t prev The height of the failure point at the moment, v prev t prev The failure point moving speed at the moment, H now is the current failure point height, t now is the current moment, vnow The current speed of the failure point, Q now is the current pumping flow rate.

[0035] Compared with the prior art, the advantages of the present invention are: using a pumping mechanism to pump water to be purified into the resin filter through a water supply pipe, obtaining the pumping flow rate of the water to be purified into the resin filter through a flow meter arranged on the water supply pipe, obtaining the water quality parameters before purification through a first water quality measuring instrument arranged on the water supply pipe, and obtaining the filtered water quality parameters of the water flowing out of each sampling pipe through a second water quality measuring instrument; determining the moving speed of the failure point of the resin filter element according to the filtered water quality parameters of the water flowing out of each sampling pipe; determining the relationship between the pumping flow rate, the water quality parameters before purification and the moving speed of the failure point according to the corresponding pumping flow rate, the water quality parameters before purification and the moving speed of the failure point according to multiple acquisitions, and then estimating the service life of the resin filter according to the relationship between the pumping flow rate, the water quality parameters before purification and the moving speed of the failure point. By obtaining the filtered water quality parameters of each point along the water flow direction of the resin filter, determining the moving speed of the failure point, and associating the speed of the failure point with the pumping flow rate and the water quality parameters before purification, the service life of the resin filter can be more accurately estimated. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments 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 creative work.

[0037] Figure 1 It is a structural schematic diagram of a resin filter life assessment device in an embodiment of the present invention;

[0038] Figure 2 Flow chart of the resin filter life evaluation method in an embodiment of the present invention.

[0039] In the figure: 1. pumping mechanism; 2. flow meter; 3. first water quality measuring instrument; 4. sampling pipeline; 41. ball valve; 42. instrument valve; 5. second water quality measuring instrument; 35. cooler; 351. discharge pipeline; 352. thermometer; 353. control valve; 6. artificial water making mechanism; 61. water tank; 611. sampling port; 612. liquid level meter; 613. pressure gauge; 614. exhaust valve; 615. safety valve; 62. heater; 621. temperature controller; 63. medicine box; 64. dosing pump; 65. nitrogen injection pipeline; 7. resin filter. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings 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 making creative work are within the scope of protection of this application.

[0041] The embodiments of the present invention are further described in detail below with reference to the accompanying drawings.

[0042] like Figure 1 As shown, the present invention provides a resin filter life assessment device, comprising: a pumping mechanism 1, a flow meter 2 and a first water quality measuring instrument 3, a plurality of sampling pipes 4, a second water quality measuring instrument 5 and a life assessment module.

[0043] Among them, the pumping mechanism 1 is used to pump the water to be purified into the resin filter 7 through the water supply pipe; the flow meter 2 and the first water quality measuring instrument 3 are arranged on the water supply pipe, 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; multiple sampling pipes 4 are arranged 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 the sampling pipe 4; the life evaluation module is connected to the flow meter 2, the first water quality measuring instrument 3 and the second water quality measuring instrument 5 signals, and is used to determine the moving speed of the failure point of the filter element of the resin filter 7 according to the filtered water quality parameters of the water flowing out of each sampling pipe 4, and determine the relationship between the pumping flow rate, the water quality parameters before purification and the moving speed of the failure point according to multiple acquisitions of the corresponding pumping flow rate, the water quality parameters before purification and the moving speed of the failure point, so as to estimate the service life of the resin filter 7.

[0044] When the life of the resin filter is evaluated by using the resin filter life evaluation device, the pumping mechanism 1 is used to pump the water to be purified into the resin filter through the water supply pipe, the pumping flow rate of the water to be purified into the resin filter is obtained by the flow meter 2 arranged on the water supply pipe, the water quality parameters before purification are obtained by the first water quality measuring instrument 3 arranged on the water supply pipe, and the filtered water quality parameters of the water flowing out of each sampling pipe 4 are obtained by the second water quality measuring instrument 5; according to the filtered water quality parameters of the water flowing out of each sampling pipe 4, the moving speed of the failure point of the resin filter element is determined; according to the corresponding pumping flow rate, the water quality parameters before purification and the moving speed of the failure point obtained multiple times, the relationship between the pumping flow rate, the water quality parameters before purification and the moving speed of the failure point is determined, and according to the relationship between the pumping flow rate, the water quality parameters before purification and the moving speed of the failure point, the service life of the resin filter is estimated. By obtaining the filtered water quality parameters of each point along the water flow direction of the resin filter, determining the moving speed of the failure point, and associating the speed of the failure point with the pumping flow rate and the water quality parameters before purification, the service life of the resin filter can be more accurately estimated.

[0045] 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 when the resin filter is filtering.

[0046] In this embodiment, the resin filter life assessment device further includes an artificial water preparation mechanism 6, which is used to prepare water to be purified with set parameters.

[0047] In this embodiment, the artificial water making mechanism 6 can make the water quality conditions that need to be purified when the resin filter is in use, so there is no need to obtain water source from the use environment of the resin filter for evaluation testing.

[0048] In some optional embodiments, the artificial water production mechanism 6 includes: a water tank 61 , a heater 62 , a medicine box 63 , a medicine injection pipeline and a nitrogen injection pipeline 65 .

[0049] Among them, the water tank 61 is used for storing water; the heater 62 is arranged in the water tank 61, and is used to heat the water in the water tank 61; the medicine box 63 is used to store medicines for preparing water to be purified; the medicine injection pipeline is connected with the medicine box 63 and the water tank, and a dosing pump 64 is provided on the medicine injection pipeline, which is used to add the medicine in the medicine box 63 to the water tank 61; the nitrogen injection pipeline 65 is used to inject nitrogen into the water tank 61.

[0050] In this embodiment, the heater 62 is used to heat the water in the water tank 61 to obtain the water temperature when the resin filter is used. The dosing pump 64 is used to add the medicine in the medicine box 63 to the water tank 61 to obtain the conductivity water quality parameter before the resin filter is used for purification. The nitrogen injection pipeline is used to inject nitrogen into the water tank 61 to obtain the oxygen content water quality parameter before the resin filter is used for purification. For example, 24.53g of NaCl, 5.20g of MgCl2, 4.09g of Na2SO4, and 1.16g of CaCl2 are dissolved in 1L of deionized water, and the conductivity of the artificially prepared water to be purified is about 400mS / cm. When used in practice, different chemicals are dissolved in water to obtain water with different conductivity.

[0051] In some optional embodiments, the first water quality measuring instrument 3 and the second water quality measuring instrument 5 are both conductivity meters or oxygen meters.

[0052] The water quality parameters before purification and after filtration may be conductivity or oxygen content.

[0053] The water quality parameters after filtration can be set to meet the outlet water conductivity of 0.6μS / cm. When the outlet water conductivity reaches 0.6μS / cm, the filter element is considered to be ineffective. Then the collected water quality parameters before purification and after filtration are both conductivity, and the first water quality meter 3 and the second water quality meter 5 are both conductivity meters; the water quality parameters after filtration can also be set to meet the set oxygen content, then the collected water quality parameters before purification and after filtration are both oxygen content, and the first water quality meter 3 and the second water quality meter 5 are both oxygen meters.

[0054] In addition, in this example, a sampling port 611 is provided on the water tank 61 for taking out the water to be purified in the water tank 61 to see whether it meets the test requirements. The outer wall of the water tank 61 is also connected to a liquid level gauge 612 for observing the water level in the water tank 61; a pressure gauge 613 is also provided on the top of the water tank 61 for monitoring the water pressure in the water tank 61, and is provided with an exhaust pipeline provided with an exhaust valve 614. A safety valve 615 is also provided on the top of the water tank 61. When the pressure in the water tank 61 reaches a set value, the pressure can be released to ensure the safety of the water tank 61; in addition, the heater 62 is also provided with a temperature controller 621 for monitoring the temperature of the water in the water tank 61, so as to cooperate with the heater 62 to control the temperature of the water in the water tank.

[0055] In some optional embodiments, a cooler 35 is provided before the first water quality measuring meter 3 and the second water quality measuring meter 5 .

[0056] In this embodiment, since the heater 62 is used to heat the water in the water tank 61 when preparing the water to be purified, but the first water quality measuring instrument 3 and the second water quality measuring instrument 5 can only monitor the water quality at a set temperature, it is necessary to provide a cooler 35 before the first water quality measuring instrument 3 and the second water quality measuring instrument 5. In addition, 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.

[0057] In some optional embodiments, a discharge pipe 351 is provided at the end of the cooler 35 in the water flow direction, and a thermometer 352 and a control valve 353 are provided in sequence along the discharge pipe 351 toward the outlet.

[0058] 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 the water quality parameters are detected, 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 provided at the end of the cooler 35, and 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 valve provided before the first water quality measuring instrument 3 and the second water quality measuring instrument 5 is opened, so that the first water quality measuring instrument 3 and the second water quality measuring instrument 5 can detect the water quality.

[0059] In some optional embodiments, the second water quality measuring instrument 5 is connected to all sampling pipes 4 in parallel via a detection pipe, and each sampling pipe 4 is provided with a valve.

[0060] In this embodiment, all the sampling pipes 4 are connected in parallel and connected to the second water quality measuring instrument 5 through the same detection pipe. The valves include an instrument valve 42 and a ball valve 41 arranged 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 the corresponding position has failed, and is opened during sampling. The instrument valve 42 is used to open when sampling from the current sampling pipe 4. With this arrangement, all the sampling pipes 4 can share a second water quality measuring instrument 5, open the ball valve 41 and the instrument valve 42 from the top of the resin filter in turn, close them after failure, and then open the valve on the next sampling pipe 4.

[0061] During the test, water with various conductivities is tested. Similarly, various pumping flow rates are used to obtain different pumping flow rates and failure point moving speeds under different conductivities.

[0062] In other embodiments, two sets of resin filters can be provided, and the two sets of resin filters can be connected in parallel and in series through pipelines, with a common pumping mechanism 1, two sets of sampling pipelines 4 respectively provided on the two sets of resin filters, and two sets of second water quality measuring instruments 5 and life assessment modules respectively corresponding to the two sets of resin filters, so as to evaluate the life of the resin filters under different usage environments.

[0063] like Figure 2 As shown, on the other hand, the present invention also provides a resin filter life assessment method, which is implemented using the above-mentioned resin filter life assessment device and includes the following steps:

[0064] S1: Obtaining 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 pipeline 4.

[0065] In this embodiment, a pumping mechanism 1 is used to pump water to be purified into the resin filter through a water supply pipe, a flow rate of the water to be purified into the resin filter is obtained by a flow meter 2 arranged on the water supply pipe, the water quality parameters before purification are obtained by a first water quality measuring instrument 3 arranged on the water supply pipe, and the water quality parameters after filtration of the water flowing out of each sampling pipe 4 are obtained by a second water quality measuring instrument 5.

[0066] S2: Determine the movement speed of the failure point of the resin filter element according to the water quality parameters of the filtered water flowing out of each sampling pipeline 4.

[0067] In some optional embodiments, step S2 includes:

[0068] S21: Real-time monitoring of water quality parameters of the filtered water flowing out of each sampling pipeline 4.

[0069] S22: Record the time when the filtered water quality parameter of the water flowing out of each sampling pipe 4 does not meet the set water quality parameter threshold.

[0070] In some optional embodiments, in addition to the inlet water conductivity monitoring meter, there are three second water quality measuring instruments 5 (conductivity meters), which can monitor the outlet water of three sampling ports in real time at the same time. At the beginning of the test, the inlet water, port 1, port 2, and port 3 are monitored. When port 1 fails, port 2, port 3, and port 4 are monitored instead, and so on. The inlet water conductivity and the outlet water conductivity of the three sampling ports are recorded in real time using a data acquisition device. Port 1, port 2, port 3, etc. are the numbers of the sampling pipes 4 arranged in sequence from top to bottom of the resin filter.

[0071] All the above-mentioned sampling pipes 4 can also be connected in parallel and 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 arranged 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 the corresponding position has failed, and is opened during sampling. The instrument valve 42 is used to open when sampling from the current sampling pipe 4. With this arrangement, all the sampling pipes 4 can share a second water quality measuring instrument 5, and the ball valve 41 and the instrument valve 42 are opened from the top of the resin filter in turn, closed after failure, and then the valve on the next sampling pipe 4 is opened.

[0072] S23: Determine the movement speed of the failure point of the resin filter element according to the time when the water quality parameters of the filtered water flowing out of each sampling pipeline 4 do not meet the set water quality parameter threshold.

[0073] In a specific embodiment, after repeated tests, when the water quality parameter is set to conductivity, the following data are obtained, as shown in Table 1:

[0074] Table 1 Collection data

[0075]

[0076]

[0077] S3: Determine the relationship between the pumping flow rate, the water quality parameters before purification and the moving speed of the failure point according to the corresponding pumping flow rate, the water quality parameters before purification and the moving speed of the failure point obtained multiple times.

[0078] In some optional embodiments, step S3 includes:

[0079] S31: Establish a multivariate regression model for pumping flow rate, pre-purification water quality parameters and failure point movement speed.

[0080] In this example, the established multiple regression model is a binary quadratic regression equation as follows:

[0081] y=a0+a1x1+a2x2+a3x1 2 +a4x2 2 +a5x1x2

[0082] Polynomial regression is used to solve various nonlinear regression problems. Each function can be segmented and analyzed using polynomials. When solving nonlinear problems, polynomial regression can be used to convert variables, so that nonlinear problems are converted into linear problems. The representation of a binary linear equation is:

[0083] y=a0+a1d1+a2d2+...a n d n

[0084] S32: The corresponding pump flow rate, water quality parameters before purification and failure point moving speed are obtained multiple times and brought into the multivariate regression model for analysis to obtain the multivariate regression prediction model u=a*κ+b×v in -c, where u is the failure point moving speed under the current working condition, κ is the currently monitored water quality parameter before purification, and v in is the current pump flow rate, a is the water quality parameter coefficient before purification, b is the pump flow rate coefficient, and c is the analytical constant.

[0085] There are three variables involved in the study. One is the conductivity of the resin filter inlet water x 1i , one is the pump flow rate x of the resin filter 2i , and the other is the failure point moving speed y of the resin filter i , three data are constructed into a data point (x 1i ,x 2i ,y i ), and then the least squares method is used to construct the fitting function.

[0086] Substituting the data in Table 1 into the multiple regression model for analytical fitting correction, we get:

[0087] u=0.255659722*x1+0.473834751×x2-0.510783775

[0088] That is: u=0.255659722*κ+0.473834751×v in -0.510783775

[0089] Among them, a is 0.255659722, b is 0.473834751, and c is -0.510783775.

[0090] According to the formula u=a*κ+b×v in -c can get the instantaneous moving speed of the failure point at any time. Combined with historical monitoring data, the failure speed and cumulative moving distance at each monitoring point are calculated. When the cumulative moving distance reaches the resin filling height, or the remaining height is reduced to 0, it means that the resin filter has reached the end of the operation.

[0091] The actual failure moment of each sampling port was compared with the calculated remaining height to verify the accuracy of the prediction model. In most cases, the model can achieve a relatively accurate prediction of the failure height. Finally, when the actual failure occurred, the calculated height was 8.40cm. Assuming that the resin filter continued to operate according to the operating conditions at that time, according to the movement speed of the failure point at that time, the model would show that the remaining operating time was 17.60h, that is, the absolute error of the prediction model was 17.60h, and the relative error was 3.38% relative to the total operating time of 521.2h.

[0092] S4: Estimate the service life of the resin filter based on the relationship between the pump flow rate, the water quality parameters before purification, and the speed of movement of the failure point.

[0093] In some optional embodiments, step S3 includes:

[0094] S41: According to formula H now =H prev -v prev ·(t now -t prev ), determine the current failure point height H now .

[0095] S42: According to the formula Determine the remaining running time T 剩余 .

[0096] S43: According to formula V 剩余 =Q now ·T 剩余 , determine the remaining water production V 剩余 .

[0097] Among them, H prev t prev The height of the failure point at the moment, v prev t prev The failure point moving speed at the moment, H now is the current failure point height, t now is the current moment, v now The current speed of the failure point, Q now is the current pumping flow rate.

[0098] In actual marine use, the calculated multivariate linear regression model is linked to the monitoring of the inlet conductivity and the pump flow rate. Whenever either of the two changes beyond the set limit (such as conductivity changes exceeding 0.10μS / cm, inlet flow rate changes exceeding 10m / h), a calculation is performed to obtain a failure point moving speed v under the current working condition. now , update the current failure point height H now.

[0099] In summary, the pumping mechanism 1 is used to pump the water to be purified into the resin filter through the water supply pipe, the pumping flow rate of the water to be purified into the resin filter is obtained by the flow meter 2 arranged on the water supply pipe, the water quality parameters before purification are obtained by the first water quality measuring instrument 3 arranged on the water supply pipe, and the water quality parameters after filtration of the water flowing out of each sampling pipe 4 are obtained by the second water quality measuring instrument 5; according to the water quality parameters after filtration of the water flowing out of each sampling pipe 4, the moving speed of the failure point of the resin filter element is determined; according to the corresponding pumping flow rate, water quality parameters before purification and the moving speed of the failure point obtained multiple times, the relationship between the pumping flow rate, the water quality parameters before purification and the moving speed of the failure point is determined, and according to the relationship between the pumping flow rate, the water quality parameters before purification and the moving speed of the failure point, the service life of the resin filter is estimated. By obtaining the filtered water quality parameters of each point along the water flow direction of the resin filter, determining the moving speed of the failure point, and associating the speed of the failure point with the pumping flow rate and the water quality parameters before purification, the service life of the resin filter can be more accurately estimated.

[0100] In the description of the present application, it should be noted that the terms "upper", "lower", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application. Unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0101] It should be noted that, in this application, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0102] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest range consistent with the principles and novel features applied for herein.

Claims

1. A resin filter life assessment device, characterized in that: include: A pumping mechanism (1) is used to pump water to be purified into the resin filter through a water supply pipeline; A flow meter (2) and a first water quality measuring instrument (3), which are arranged on the water supply pipeline, the flow meter (2) being used to obtain the pumping flow rate of the water to be purified, and the first water quality measuring instrument (3) being used to measure the water quality parameters of the water to be purified before purification; A plurality of sampling pipes (4) arranged at intervals along the water flow direction of the resin filter; A second water quality measuring instrument (5), connected to the sampling pipe (4) and used to collect water quality parameters of filtered water flowing out of the sampling pipe (4); A life evaluation module, which is connected to the flow meter (2), the first water quality measuring instrument (3) and the second water quality measuring instrument (5) by signals, and is used to determine the movement speed of the failure point of the resin filter element according to the water quality parameters after filtration of the water flowing out of each sampling pipeline (4), and to determine the relationship between the pumping flow rate, the water quality parameters before purification and the movement speed of the failure point according to the corresponding pumping flow rate, the water quality parameters before purification and the movement speed of the failure point, so as to estimate the service life of the resin filter; According to the multiple acquisitions of the corresponding pumping flow rate, the water quality parameters before purification and the moving speed of the failure point, the relationship between the pumping flow rate, the water quality parameters before purification and the moving speed of the failure point is determined, including: A multivariate regression model was established on the pumping flow rate, water quality parameters before purification, and the speed of movement of the failure point; The corresponding pump flow rate, water quality parameters before purification and failure point moving speed are obtained multiple times and brought into the multivariate regression model for analysis to obtain the multivariate regression prediction model. , where u is the moving speed of the failure point under the current working condition, is the water quality parameter before purification currently monitored. is the current pumping flow rate, is the water quality parameter coefficient before purification, is the pump flow rate coefficient, is an analytical constant.

2. The resin filter life evaluation device according to claim 1, characterized in that: The second water quality measuring instrument (5) is connected to all the sampling pipes (4) connected in parallel via a detection pipe, and each of the sampling pipes (4) is provided with a valve.

3. The resin filter life evaluation device according to claim 2, characterized in that: The valve comprises an instrument valve (42) and a ball valve (41) which are arranged in sequence from the resin filter to the detection pipeline.

4. The resin filter life evaluation device according to 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. The resin filter life evaluation device according to claim 4, characterized in that: A discharge pipe (351) is provided at the end of the cooler (35) in the water flow direction, and a thermometer (352) and a control valve (353) are sequentially provided on the discharge pipe (351) toward the outlet direction.

6. The resin filter life evaluation device according to claim 1, characterized in that: The first water quality measuring instrument (3) and the second water quality measuring instrument (5) are both conductivity meters or dissolved oxygen meters.

7. A method for evaluating the life of a resin filter, characterized in that: The resin filter life evaluation device according to claim 1 is used to implement the method, comprising the following steps: Obtaining 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 pipeline (4); Determine the movement speed of the failure point of the resin filter element according to the water quality parameters of the filtered water flowing out of each sampling pipeline (4); According to the multiple acquisitions of the corresponding pumping flow rate, the water quality parameters before purification and the moving speed of the failure point, the relationship between the pumping flow rate, the water quality parameters before purification and the moving speed of the failure point is determined, including: A multivariate regression model was established on the pumping flow rate, water quality parameters before purification, and the speed of movement of the failure point; The corresponding pump flow rate, water quality parameters before purification and failure point moving speed are obtained multiple times and brought into the multivariate regression model for analysis to obtain the multivariate regression prediction model. , where u is the moving speed of the failure point under the current working condition, is the water quality parameter before purification currently monitored. is the current pumping flow rate, is the water quality parameter coefficient before purification, is the pump flow rate coefficient, is the analytical constant; The service life of the resin filter is estimated based on the relationship between the pump flow rate, the water quality parameters before purification and the speed of movement of the failure point.

8. The resin filter life evaluation method according to claim 7, characterized in that: The method of determining the movement speed of the failure point of the resin filter element according to the filtered water quality parameters of the water flowing out of each sampling pipeline (4) comprises: Real-time monitoring of water quality parameters of filtered water flowing out of each sampling pipeline (4); Recording the time when the filtered water quality parameter of the water flowing out of each sampling pipeline (4) does not meet the set water quality parameter threshold; The moving speed of the failure point of the resin filter element is determined according to the time during which the water quality parameters of the filtered water flowing out of each sampling pipeline (4) do not meet the set water quality parameter threshold.

9. The resin filter life evaluation method according to claim 7, characterized in that: The relationship between the pump flow rate, the water quality parameters before purification and the movement speed of the failure point; Estimate the life of resin filters, including: According to the formula , determine the current failure point height ; According to the formula , determine the remaining run time ; According to the formula , determine the remaining water production ; in, for The height of the failure point at time, for The moving speed of the failure point at the moment, is the current failure point height, For the current moment, The current moving speed of the failure point, is the current pumping flow rate.

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