A filter cartridge replacement monitoring method for an ozone ceramic composite filtration system

Abstract

The present application relates to the technical field of water treatment, in particular to a filter core replacement monitoring method for an ozone ceramic composite filtration system. The method comprises: obtaining basic use parameters of the composite filtration system to be monitored and water quality parameters of water to be treated; inputting each difference between the basic use parameters and full load use parameters into a use state correction model to output use state correction parameters; calculating water quality correction parameters according to the water quality parameters of the water to be treated; and calculating filter core replacement time by multiplying the baseline filter core replacement time by the use state correction parameters and the water quality correction parameters in sequence. The present application can effectively improve the accuracy of the predicted replacement time by evaluating the use state of the ozone ceramic composite filtration system and the water quality of the water to be treated respectively, and can significantly reduce maintenance costs under the premise of ensuring water quality safety.

Description

Technical Field

[0001] This invention relates to the field of water treatment technology, and in particular to a method for monitoring filter cartridge replacement in an ozone ceramic composite filtration system. Background Technology

[0002] Ozone is a strong oxidant whose strong oxidizing properties allow it to react rapidly with organic matter in water. By destroying the cell walls, nucleic acid, and protein structures of bacteria and viruses, it achieves the purpose of purifying water and sterilizing it. However, ozone disinfection itself does not have the function of water filtration and purification. Therefore, in the process of direct drinking water treatment, it can only be used as one of the filtration methods. The common usage is ozone disinfection in combination with ceramic filtration.

[0003] The basic principle of a ceramic filter is to purify fluids through a combination of a porous material and a filter membrane. The fluid passes through the porous material and the filter membrane, and after purification, flows out from the openings on the outer peripheral or end face.

[0004] The composite filtration system combining ozone and ceramic filtration has good disinfection and water treatment capabilities. However, its drawback is that with prolonged use, the ceramic filter membrane will adsorb a large amount of dirt, and the quality of the effluent will decrease over time.

[0005] A common solution is to regularly replace or clean the ceramic filter membrane. However, the timing of ceramic filter membrane replacement depends not only on the intensity and duration of use of the ozone ceramic composite filtration system, but also on the quality of the water to be filtered. Therefore, determining the maintenance time of the ozone ceramic composite filtration system under different operating conditions is a technical problem that urgently needs to be solved. Summary of the Invention

[0006] This invention discloses a method for monitoring filter cartridge replacement in an ozone ceramic composite filtration system. The ozone ceramic composite filtration system includes an ozone disinfection subsystem and a ceramic filtration subsystem. The water to be treated is disinfected by the ozone disinfection subsystem and then filtered by the ceramic filtration subsystem. The specific method is as follows:

[0007] Obtain the basic operating parameters of the composite filtration system to be monitored and the water quality parameters of the water to be treated;

[0008] Calculate the differences between the basic operating parameters and the full-load operating parameters;

[0009] Input the various differences into the state correction model and output the state correction parameters.

[0010] Calculate the water quality correction parameters based on the water quality parameters of the water to be treated;

[0011] The filter replacement time of the ceramic filter subsystem of the composite filtration system to be monitored is calculated by multiplying the baseline filter replacement time by the usage status correction parameter and the water quality correction parameter.

[0012] The advantage of this embodiment is that by assessing the usage status of the ozone ceramic composite filtration system and the quality of the water to be treated, the accuracy of predicting replacement time can be effectively improved, and maintenance costs can be significantly reduced while ensuring water quality safety.

[0013] Furthermore, the basic usage parameters include:

[0014] Operating time of the ozone disinfection subsystem per unit cycle;

[0015] Average load of the ozone disinfection subsystem per unit cycle time;

[0016] Duration of the ceramic filtration subsystem per unit cycle time;

[0017] Average load of the ceramic filter subsystem per unit period.

[0018] The advantage of this embodiment is that, for the composite system, the working conditions of the two series subsystems are taken into account. Compared with considering only the working conditions of the composite system, the accuracy of the ozone ceramic filter system replacement time prediction can be significantly improved.

[0019] Furthermore, the average load of the ozone disinfection subsystem per unit cycle is calculated as follows:

[0020] Obtain the maximum water filtration volume of the ozone disinfection subsystem within a unit cycle time;

[0021] Record the average amount of water filtered by the ozone disinfection subsystem per unit cycle time;

[0022] The average load of the ozone disinfection subsystem per unit period is calculated by dividing the average filtration volume of the ozone disinfection subsystem per unit period by the maximum filtration volume.

[0023] The average load of the ceramic filter subsystem per unit period is calculated as follows:

[0024] Obtain the maximum water filtration volume of the ceramic filtration subsystem within a unit cycle time;

[0025] Record the average water filtration volume of the ceramic filtration subsystem within a unit cycle time;

[0026] The average load of the ceramic filtration subsystem per unit period is calculated by dividing the average filtration volume of the ceramic filtration subsystem per unit period by the maximum filtration volume.

[0027] The advantage of this embodiment is that it uses normalization processing when testing the load, which unifies the working time of different subsystems into a proportion, making it easier for the model to be trained later.

[0028] Furthermore, the differences between the basic operating parameters and the full-load operating parameters are calculated using the following method:

[0029] The difference in ozone disinfection subsystem operation is calculated by subtracting the ozone disinfection subsystem operation time within the unit cycle from the unit cycle duration and then dividing by the unit cycle duration.

[0030] 1. Subtract the average load of the ceramic filtration subsystem within a unit cycle time to calculate the load difference of the ozone disinfection subsystem;

[0031] The operating difference of the ceramic filter subsystem is calculated by subtracting the operating time of the ceramic filter subsystem within the unit cycle from the unit cycle duration and then dividing by the unit cycle duration.

[0032] 1. Subtract the average load of the ceramic filter subsystem within a unit period to calculate the load difference of the ceramic filter subsystem.

[0033] The advantage of this embodiment is that it uses the difference between the composite filtering system and the baseline usage as the data input method, which can highlight the feature differences between the data to be predicted and the baseline data, resulting in higher accuracy in subsequent predictive analysis.

[0034] Furthermore, a state correction model is constructed, and the specific method is as follows:

[0035] The same ozone ceramic composite filtration system was selected as the benchmark composite filtration system.

[0036] The benchmark composite filtration system processes reference water at maximum effluent efficiency and records effluent water quality information. When the effluent water quality is lower than expected, the operating time of the benchmark composite filtration system is recorded as the reference filter replacement time.

[0037] Replace the filter element of the ceramic filter subsystem of the benchmark composite filtration system. Conduct several filtration tests with different ozone disinfection subsystem operating times, different average loads of ozone disinfection subsystems, different ceramic filter system operating times, and different average loads of ceramic filter systems. Record the filter element replacement time for each filtration test.

[0038] Divide the test filter replacement time by the baseline filter replacement time and record it as the usage status correction parameter for each filtration test.

[0039] Training samples were constructed using the differences between the runtime and full-load usage parameters of the ozone disinfection subsystem, the average load and full-load usage parameters of the ozone disinfection subsystem, the runtime and full-load usage parameters of the ceramic filtration subsystem, the average load and full-load usage parameters of the ceramic filtration subsystem, and the corresponding usage status correction parameters for each filtration test.

[0040] Train the BP neural network model using training samples until the model converges.

[0041] The advantage of this embodiment lies in its use of a BP neural network model to fit the functional relationship between input and output data. For multi-data nonlinear data prediction in composite filtering systems, it offers higher prediction accuracy and greater operability. When constructing training samples, the actual situations of both subsystems were considered to ensure that no key data was missed.

[0042] Furthermore, the water quality correction parameters are calculated using the following method:

[0043] Water with all water quality parameters at their average values ​​was selected as the treatment reference water.

[0044] Several types of water of different qualities were obtained for use as experimental water.

[0045] The benchmark composite filtration system was used at maximum effluent efficiency to filter and treat reference water and several test waters separately until the effluent quality was lower than the design value. The working time of the benchmark composite filtration system in filtering and treating reference water and several test waters was recorded.

[0046] The water quality correction parameters for different test waters were calculated by dividing the working time of filtering different test waters by the working time of filtering the reference water.

[0047] Linear fitting of the functional relationship between water quality parameters and water quality correction parameters for different water quality test waters;

[0048] The water quality parameters of the water to be treated are input into the function obtained to calculate the water quality correction parameters.

[0049] The advantage of this embodiment is that water quality is an important parameter affecting the replacement time of the filter membrane, and analyzing the water quality separately can improve the final prediction results.

[0050] Other advantages, objectives, and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination, or may be learned from practice of the invention. The objectives and other advantages of the invention can be realized and obtained through the following description. Attached Figure Description

[0051] The accompanying drawings of this invention are described below.

[0052] Figure 1 This is a schematic diagram of the overall process of the present invention.

[0053] Figure 2 This is a schematic diagram of the subsystem average load calculation process.

[0054] Figure 3 A schematic diagram of the process for building a state correction model. Detailed Implementation

[0055] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0056] A method for monitoring filter cartridge replacement in an ozone ceramic composite filtration system, such as Figure 1 As shown, the specific steps are as follows:

[0057] S1. Obtain the basic operating parameters of the composite filtration system to be monitored and the water quality parameters of the water to be treated.

[0058] The basic operating parameters include: the ozone disinfection subsystem operating time Ot per unit cycle, the average load of the ozone disinfection subsystem Op per unit cycle, the ceramic filtration subsystem operating time Ct per unit cycle, and the average load of the ceramic filtration subsystem Cp per unit cycle.

[0059] The water quality parameters of the water to be treated include: a) organic matter content, b) inorganic salt content, c) microbial content, d) heavy metal content, and e) turbidity.

[0060] S2. Calculate the differences between the basic operating parameters and the full-load operating parameters.

[0061] S21. The difference D between the ozone disinfection subsystem's operating time Ot and the full-load operating parameters per unit cycle. Ot The calculation method is as follows:

[0062]

[0063] In the formula, T is the duration of a unit period.

[0064] S22, the difference D between the average load Op of the ozone disinfection subsystem and the full-load operating parameter within a unit period. Op ,like Figure 2 As shown, the calculation method is as follows:

[0065] Obtain the maximum filtration volume Ov of the ozone disinfection subsystem within a unit cycle time. max ;

[0066] Record the average filtration volume (OV) of the ozone disinfection subsystem under monitoring within the current unit cycle time. average ;

[0067] Calculate the average load Op of the ozone disinfection subsystem per unit period:

[0068]

[0069] D Op =1-Op

[0070] S23. The difference between the operating time Ct of the ceramic filter subsystem per unit cycle and the full-load operating parameters D Ct The calculation method is as follows:

[0071]

[0072] S24. The difference D between the average load Cp and the full-load operating parameters of the ceramic filter subsystem per unit period. Cp ,like Figure 2 As shown, the calculation method is as follows:

[0073] Obtain the maximum filtration volume Cv of the ceramic filtration subsystem within a unit cycle time. max ;

[0074] Record the average filtration volume Cv of the ceramic filtration subsystem under monitoring within the current unit cycle time. average ;

[0075] Calculate the average load Op of the ozone disinfection subsystem per unit period:

[0076]

[0077] D Cp =1-Cp

[0078] S3. The differences between the items, i.e., D Ot D Op D Ct and D Cp Input the state correction model and output the state correction parameter w1.

[0079] Build and use state correction models, such as Figure 3 As shown, the specific method is as follows:

[0080] S31. Select the same ozone ceramic composite filtration system as the benchmark composite filtration system;

[0081] S32. The reference composite filtration system processes reference water at maximum effluent efficiency and records effluent water quality information. When the effluent water quality is lower than expected, the working time of the reference composite filtration system is recorded as the reference filter replacement time Rt.

[0082] The effluent water quality information includes: a) organic matter content, b) inorganic salt content, c) microbial content, d) heavy metal content, and e) turbidity.

[0083] S33. Replace the filter element of the ceramic filter subsystem of the benchmark composite filtration system. Conduct several filtration tests with different ozone disinfection subsystem operating times, average loads of different ozone disinfection subsystems, different ceramic filter system operating times, and different ceramic filter system average loads. Record the filter element replacement time Et for each filtration test. i , where i is the filtration test number;

[0084] S34. Divide the test filter replacement time by the baseline filter replacement time and record the result as the usage status correction parameter for each filtration test.

[0085] S35. Construct training samples using the differences between the ozone disinfection subsystem's runtime and full-load operating parameters, the differences between the ozone disinfection subsystem's average load and full-load operating parameters, the differences between the ceramic filtration subsystem's runtime and full-load operating parameters, the differences between the ceramic filtration subsystem's average load and full-load operating parameters, and the corresponding usage state correction parameters for each filtration test.

[0086] S36. Train the BP neural network model using the training samples until the model converges.

[0087] S4. Calculate the water quality correction parameters based on the water quality parameters of the water to be treated.

[0088] The specific method for calculating water quality correction parameters is as follows:

[0089] S41. Select water that is at its average value for all water quality parameters as the treatment reference water. 0 ;

[0090] S42. Obtain several samples of water of different qualities to be treated, and use them as test water. j ;

[0091] S43. The benchmark composite filtration system processes reference water and several test water samples at maximum effluent efficiency until the effluent quality is lower than the design value. Record the operating time (wt) of the benchmark composite filtration system in processing the reference water. 0 and the working time (wt) of several test waters j ;

[0092] S44. Divide the working time for filtering different test waters by the working time for filtering the reference water to calculate the water quality correction parameters for different test waters, i.e.

[0093] S45. Linearly fit the functional relationship between water quality parameters and water quality correction parameters for different water quality test waters;

[0094] S46. Input the water quality parameters of the water to be treated into the function obtained by combining them, and calculate the water quality correction parameter w2.

[0095] S5. Multiply the baseline filter replacement time by the usage condition correction parameter and the water quality correction parameter in sequence to calculate the filter replacement time of the ceramic filter subsystem of the composite filtration system to be monitored. The calculation formula is as follows:

[0096] Rt×w1×w2

[0097] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A filter cartridge replacement monitoring method for an ozone ceramic composite filtration system, the ozone ceramic composite filtration system including an ozone disinfection subsystem and a ceramic filtration subsystem, water to be treated being disinfected by the ozone disinfection subsystem and then filtered by the ceramic filtration subsystem, characterized by, The specific method is as follows: Obtain the basic use parameters of the composite filter system to be monitored and the water quality parameters of the water to be treated; Calculate the differences of each item between the basic use parameters and the full load use parameters; Input the differences of each item into the use state correction model to output the use state correction parameters; According to the water quality parameters of the water to be treated, calculate the water quality correction parameters; Multiply the reference filter core replacement time by the use state correction parameters and the water quality correction parameters in sequence to calculate the filter core replacement time of the ceramic filtration subsystem of the composite filter system to be monitored; The basic use parameters include: The running time of the ozone disinfection subsystem within a unit cycle time; The average load of the ozone disinfection subsystem within a unit cycle time; The running time of the ceramic filtration subsystem within a unit cycle time; The average load of the ceramic filtration subsystem within a unit cycle time; The average load of the ozone disinfection subsystem within a unit cycle time is calculated as follows: Obtain the maximum filtration water volume of the ozone disinfection subsystem within a unit cycle time; Record the average filtration water volume of the ozone disinfection subsystem within a unit cycle time; Divide the average filtration water volume of the ozone disinfection subsystem within a unit cycle time by the maximum filtration water volume to obtain the average load of the ozone disinfection subsystem within a unit cycle time; The average load of the ceramic filtration subsystem within a unit cycle time is calculated as follows: Obtain the maximum filtration water volume of the ceramic filtration subsystem within a unit cycle time; Record the average filtration water volume of the ceramic filtration subsystem within a unit cycle time; Divide the average filtration water volume of the ceramic filtration subsystem within a unit cycle time by the maximum filtration water volume to obtain the average load of the ceramic filtration subsystem within a unit cycle time; The differences of each item between the basic use parameters and the full load use parameters are calculated as follows: Subtract the running time of the ozone disinfection subsystem within a unit cycle time from the unit cycle time, and then divide by the unit cycle time to obtain the running difference value of the ozone disinfection subsystem; Subtract the average load of the ozone disinfection subsystem within a unit cycle time from 1 to obtain the load difference value of the ozone disinfection subsystem; Subtract the running time of the ceramic filtration subsystem within a unit cycle time from the unit cycle time, and then divide by the unit cycle time to obtain the running difference value of the ceramic filtration subsystem; Subtract the average load of the ceramic filtration subsystem within a unit cycle time from 1 to obtain the load difference value of the ceramic filtration subsystem.

2. The filter cartridge replacement monitoring method for an ozone ceramic composite filtration system according to claim 1, wherein The use state correction model is constructed as follows: Select the same ozone ceramic composite filter system as the reference composite filter system; The reference composite filter system processes the reference water with the maximum water output efficiency, and records the water quality information. When the water quality is lower than expected, the working time of the reference composite filter system is recorded as the reference filter core replacement time; Replace the ceramic filtration subsystem filter core of the reference composite filter system, and perform several filtration tests with different ozone disinfection subsystem running times, different ozone disinfection subsystem average loads, different ceramic filtration subsystem running times, and different ceramic filtration subsystem average loads. Record the test filter core replacement time of each filtration test; Divide the test filter core replacement time by the reference filter core replacement time to record the use state correction parameter of each filtration test; The training sample is constructed by using the difference between the running time of the ozone disinfection subsystem in each filtration test and the full load use parameter, the difference between the average load of the ozone disinfection subsystem and the full load use parameter, the difference between the running time of the ceramic filtration subsystem and the full load use parameter, the difference between the average load of the ceramic filtration subsystem and the full load use parameter, and the corresponding use state correction parameter; The BP neural network model is trained by using the training sample until the model converges.

3. The filter cartridge replacement monitoring method for an ozone ceramic composite filtration system of claim 1, wherein, The water quality correction parameter is calculated, and the specific method is as follows: The water to be treated with all water quality parameters being at the average value is selected as the treatment reference water; A plurality of different water quality water to be treated is obtained as a plurality of test water; The reference composite filtration system is treated with the maximum water output efficiency, and the reference water and the plurality of test water are filtered and treated respectively until the water quality is lower than the design value, and the working time of the reference composite filtration system for filtering and treating the reference water and the plurality of test water is recorded; The working time for filtering different test water is divided by the working time for filtering and treating the reference water to obtain the water quality correction parameter of different test water; The functional relationship between the water quality parameters and the water quality correction parameter of different water quality test water is linearly fitted; The water quality parameter of the water to be treated is input into the obtained function to calculate the water quality correction parameter.

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