A nano-ion ozone disinfection method for direct drinking water

Abstract

The present invention relates to the technical field of direct drinking water treatment, and in particular to a nano-ion ozone disinfection method for direct drinking water. It includes: preparing pure water with municipal water, and storing the pure water in a water tank; taking pure water, and pumping a first micro-nano ozone bubble under pressure to prepare mixed water; adding the mixed water to the water tank to mix with the pure water, and at the same time pumping a second micro-nano ozone bubble under pressure into the pure water to complete the disinfection of direct drinking water. Compared with the method of directly purifying with micro-nano ozone bubbles, the present invention can increase the content of micro-nano ozone bubbles in pure water and significantly improve the purification effect. The pore size of micro-nano ozone bubbles determines the content of micro-nano ozone bubbles in the mixed water and the production speed of the mixed water, and the mixed water cannot be stored for a long time. It is necessary to adjust the pore size of the micro-nano ozone bubbles in real time in combination with the consumption speed of the direct drinking water to obtain the best purification effect while reducing the emission of ozone tail gas.

Description

Technical Field

[0001] The invention relates to the technical field of direct drinking water treatment, and in particular to a nano-ion ozone disinfection method for direct drinking water. Background Art

[0002] "Micro-nano bubbles" are referred to as "microbubbles". According to the definition of ISO, the International Organization for Standardization, they refer to bubbles with a diameter of less than 100 microns in a liquid. They are generated when bubbles occur in water due to physical principles. They can also be called micro-nano bubbles, micron bubbles or nano bubbles according to their diameter range. A large number of microbubbles in water make the water appear milky white, commonly known as "milk water". The comparison between ordinary water and "milk water" is as follows: Figure 1 As shown. Micro-nano bubbles can be generated by a micro-nano bubble machine. The micro-nano bubble machine is as follows. Figure 3 shown.

[0003] The shrinkage and bursting process of 1mm micro-nano bubbles between 0 and 1 under the micro-nano bubble microscope is as follows Figure 2 As shown. Micro-nano bubbles have the characteristics of large specific surface area, slow rising speed, self-pressurized dissolution, surface charge, high gas dissolution rate, and the ability to stimulate the production of a large number of hydroxyl free radicals. They can degrade pollutants in water that are difficult to oxidize and decompose under normal conditions, and have a purifying effect on water quality.

[0004] Nanoparticle ozone machines are currently used for water purification, but there is no systematic research on how to optimize the purification process and improve the quality of drinking water purification. Summary of the invention

[0005] The present invention discloses a nano-ion ozone disinfection method for direct drinking water, and the specific method is as follows:

[0006] Prepare pure water from municipal water and store it in water tanks;

[0007] Take pure water, and pump the first micro-nano ozone bubbles into it under pressure to prepare mixed water;

[0008] Add the mixed water into the water tank and mix it with the pure water, and at the same time, pressurize and pump the second micro-nano ozone bubbles into the pure water to complete the direct drinking water disinfection;

[0009] When preparing mixed water, the aperture of the first micro-nano ozone bubble is adjusted in real time according to the storage amount and consumption rate of the mixed water.

[0010] In this embodiment, it is proposed to purify direct drinking water by combining mixed water with micro-nano ozone bubbles. Compared with the direct purification method with micro-nano ozone bubbles, the content of micro-nano ozone bubbles in pure water can be increased, and the purification effect can be significantly improved. The pore size of micro-nano ozone bubbles determines the content of micro-nano ozone bubbles in mixed water and the production speed of mixed water. In addition, mixed water cannot be stored for a long time. It is necessary to adjust the pore size of micro-nano ozone bubbles in real time in combination with the consumption speed of direct drinking water to obtain the best purification effect while reducing the emission of ozone tail gas.

[0011] Furthermore, the first micro-nano ozone bubbles and the second micro-nano ozone bubbles are both generated by an ozone micro-nano bubble machine, pressurized by an air pump, and then ejected through a pressurized nozzle, and the pressurized nozzle can adjust the pore size of the first micro-nano ozone bubbles and the second micro-nano bubbles.

[0012] Furthermore, when the following conditions are met, the aperture of the first micro-nano ozone bubble is adjusted in real time, as follows:

[0013] Selecting the optimal aperture of the first micro-nano ozone bubble as the reference aperture of the first micro-nano ozone bubble;

[0014] Calculate the mixed water benchmark preparation speed based on the first micro-nano ozone bubble benchmark aperture;

[0015] If the mixed water consumption rate minus the reference preparation rate is greater than zero, and the mixed water reserve divided by the difference between the mixed water consumption rate and the reference preparation rate is less than the preset time, the first micro-nano ozone bubble aperture is adjusted; otherwise, the first micro-nano ozone bubble aperture is not adjusted.

[0016] The advantage of this embodiment is that, theoretically, the optimal pore size of the first micro-nano ozone bubble can make the pure water have the highest bubble content, but the disadvantage is that the bubble rise speed is slow, which will reduce the output of mixed water and cannot meet the use during the peak water usage; therefore, by adjusting the pore size, the preparation speed of mixed water can be increased to achieve the purpose of improving the purification quality as much as possible while meeting the use.

[0017] Furthermore, the optimal aperture of the first micro-nano ozone bubble is selected, and the specific method is as follows:

[0018] Obtain pure water with a volume equal to the maximum reserve of mixed water as test pure water;

[0019] First micro-nano ozone bubbles with different pore sizes were pumped into the test pure water respectively, and the tail gas volume, duration and turbidity value when the turbidity of the test pure water was stable were recorded;

[0020] The evaluation index is calculated by multiplying the turbidity value by the first weight, subtracting the duration multiplied by the second weight, and then subtracting the exhaust volume multiplied by the third weight;

[0021] The first micro-nano ozone bubble pore size corresponding to the highest evaluation index is selected as the optimal pore size of the first micro-nano ozone bubble.

[0022] The advantage of this embodiment is that a diameter evaluation standard is constructed, in which the bubble content, mixed water production rate and tail gas emission are taken into account. The optimal aperture screened out has the best overall effect and is the best choice when there is no water pressure. When there is water pressure, it is only necessary to increase the aperture size based on the optimal aperture, providing a subsequent adjustment benchmark.

[0023] Furthermore, the mixed water benchmark preparation speed is calculated as follows:

[0024] The benchmark preparation rate of mixed water is calculated by dividing the maximum reserve amount of mixed water by the time it takes for the turbidity of the test pure water to stabilize.

[0025] Furthermore, the mixed water consumption rate is calculated as follows:

[0026] Based on historical data, train a neural network prediction model;

[0027] The actual consumption rate of mixed water in a preset period before the current moment is used as input, and the estimated consumption rate of mixed water in a future period is obtained through the trained neural network prediction model;

[0028] The average value of the actual consumption rate of mixed water in the preset time period before the current moment and the estimated consumption rate of mixed water in the future time period is taken as the consumption rate of mixed water.

[0029] The advantage of this embodiment is that by combining the water consumption in the past period and the estimated water consumption in the future period as the mixed water consumption rate, it is forward-looking and will not cause a significant deterioration in the overall purification effect due to prediction errors.

[0030] Furthermore, when adjusting the aperture of the first micro-nano ozone bubble, the ozone tail gas volume is used as a boundary condition, and the aperture of the first micro-nano ozone bubble is adjusted by a pressurized nozzle. The specific method is as follows:

[0031] At the first micro-nano ozone bubble reference aperture, the aperture is repeatedly increased step by step, and the test results are queried after each increase to obtain the duration when the turbidity of the test pure water is stable at the aperture;

[0032] The maximum reserve of mixed water is divided by the time when the turbidity of the test pure water at the current aperture is stable, and the reference preparation speed of mixed water at the current aperture is calculated until the reference preparation speed of mixed water at the current aperture meets the consumption speed of mixed water;

[0033] If the mixed water reference preparation speed under the current aperture does not meet the mixed water consumption speed, and the ozone tail gas volume is greater than the alarm threshold, it will return to the previous adjustable aperture and then alarm.

[0034] The advantage of this embodiment is that when the water consumption increases, the preparation speed of the mixed water can be continuously increased by increasing the pore size step by step until the water demand is met; when the pore size is increased, the bubble content in the water will inevitably decrease, and the emission of excess ozone will have an impact on the environment, so the exhaust gas constraint condition is added to ensure that the exhaust gas emissions will not have an impact on the environment.

[0035] Furthermore, when the mixed water is added to the water tank and mixed with the pure water, and the second micro-nano ozone bubbles are pumped into the pure water under pressure, the flow rate of the mixed water and the flow rate of the second micro-nano ozone bubbles are optimized by an optimization algorithm. The specific method is as follows:

[0036] Determine the holding water volume in the tank;

[0037] Determine the maximum flow rate of mixed water;

[0038] Construct fitness function;

[0039] The flow rate of the mixed water and the flow rate of the second micro-nano ozone bubbles are changed, and the fitness function under each change scheme is calculated;

[0040] According to the fitness function value under each scheme, the flow rate of the optimal mixed water and the flow rate of the second micro-nano ozone bubble are selected.

[0041] The advantage of this embodiment is that for different water tank sizes and mixed water preparation conditions, different flow rates of the mixed water and the second micro-nano ozone bubbles need to be set to optimize the purification effect of direct drinking water. The optimization algorithm can improve the purification effect for different usage scenarios.

[0042] Furthermore, the amount of pure water input into the water tank is adjusted through a PID closed-loop control algorithm to maintain the amount of water in the water tank.

[0043] Furthermore, the fitness function is as follows:

[0044] Use the expert database to score the direct drinking water after disinfection and the exhaust gas volume;

[0045] The fitness function was constructed by subtracting the exhaust gas score from the drinking water score.

[0046] The advantage of this embodiment is that the constructed fitness function comprehensively considers the purification effect and environmental impact.

[0047] Other advantages, objectives and features of the present invention will be described in the following description to some extent, and to some extent, will be obvious to those skilled in the art based on the following examination and study, or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The accompanying drawings of the present invention are as follows.

[0049] Figure 1 It is a schematic diagram for comparing ordinary water and milk water in the background technology.

[0050] Figure 2 It is a schematic diagram of the shrinkage and explosion process of micro-nano bubbles in the background technology.

[0051] Figure 3 It is a schematic diagram of the appearance of the micro-nano bubble machine in the background technology.

[0052] Figure 4 Schematic diagram of the RNN neural network principle.

[0053] Figure 5 This is a schematic diagram of the PID closed-loop control algorithm principle.

[0054] Figure 6 Schematic diagram of the process of the embodiment. DETAILED DESCRIPTION

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

[0056] A nano-ion ozone disinfection method for direct drinking water, such as Figure 6 As shown, the specific steps are as follows:

[0057] S1. Prepare pure water from municipal water and store the pure water in a water tank.

[0058] The steps to prepare pure water are as follows:

[0059] After the municipal water is pressurized by a booster pump, it passes through quartz sand, activated carbon, resin, coarse salt, PP cotton and ultraviolet disinfection in sequence to obtain pure water and store it in a water tank.

[0060] S2, take pure water, pump the first micro-nano ozone bubbles into it under pressure, and prepare mixed water. The specific steps are as follows:

[0061] S21. Use a micro-nano bubble machine to generate ozone bubbles.

[0062] S22, after being pressurized by an air pump, ozone bubbles having a first micro-nano ozone bubble reference aperture are generated through a pressurized nozzle.

[0063] In step S22, the first micro-nano ozone bubble reference aperture is obtained by the following steps:

[0064] S221. Obtain pure water with a volume equal to the maximum reserve of mixed water as test pure water.

[0065] S222. Pump the first micro-nano ozone bubbles with different apertures into the test pure water respectively, and record the tail gas volume, duration and turbidity value X when the turbidity of the test pure water is stable. ri ={gas i ,t i tur i}.

[0066] S223. Multiply the turbidity value by the first weight, subtract the duration multiplied by the second weight, and then subtract the exhaust volume multiplied by the third weight to calculate the evaluation index. The specific formula is:

[0067] e ri =gas i .th1+t i .th2+tur i .th3

[0068] S224, selecting the first micro-nano ozone bubble aperture corresponding to the highest evaluation index as the first micro-nano ozone bubble optimal aperture r0.

[0069] S23, spraying ozone bubbles into the taken-out pure water to prepare mixed water.

[0070] S3. When the following conditions are met, the aperture of the first micro-nano ozone bubble is adjusted in real time:

[0071] Mixed water consumption rate Subtracting the baseline preparation The speed is greater than zero, and the total amount of mixed water reserves is divided by the mixed water consumption speed minus De-reference preparation speed The difference between the two, the quotient is less than the preset time th time , then adjust the first micro-nano ozone bubble aperture r; otherwise, do not adjust the first micro-nano ozone bubble aperture r; the conditional formula for adjusting the first micro-nano ozone bubble aperture r is as follows:

[0072]

[0073] In step S3, the mixed water reference preparation speed is calculated, and the specific steps are as follows:

[0074] Divide the maximum reserve of mixed water, total, by the time t when the turbidity of the test pure water is stable. i , calculate the mixed water benchmark preparation speed The specific formula is:

[0075]

[0076] In step S3, the mixed water consumption rate The specific steps are as follows:

[0077] S31. Train a neural network prediction model based on historical data.

[0078] S32, the actual consumption rate v of the mixed water in the preset time period before the current moment his As input, the estimated consumption rate of mixed water in the future period is obtained through the trained neural network prediction model.

[0079] S33, the actual consumption rate v of the mixed water in the preset period before the current moment his Estimated consumption rate of mixed water in the future period v fut The average value of the mixed water consumption rate is (v his +v fut ) / 0.5.

[0080] The neural network prediction model is a recurrent neural network prediction model, and its principle is as follows Figure 4 shown.

[0081] S4. Adjust the aperture of the first micro-nano ozone bubbles.

[0082] In step S4, when adjusting the aperture r0 of the first micro-nano ozone bubble, the ozone tail gas volume is used as a boundary condition, and the aperture of the first micro-nano ozone bubble is adjusted by a pressurized nozzle. The specific steps are as follows:

[0083] S41, at the first micro-nano ozone bubble reference aperture r0, the increased aperture is r1.

[0084] S42, query the test results, and obtain the time t1 when the turbidity of the test pure water is stable under the aperture r1. The test process is the same as step S222.

[0085] S43, the maximum reserve of mixed water, total, is divided by the time t1 when the turbidity of the test pure water at the current aperture is stable, to calculate the reference preparation speed of mixed water at the current aperture Right now Same as in step S3.

[0086] S44. If the mixed water reference preparation speed under the current aperture meets the mixed water consumption speed, stop adjusting; if not, continue to increase the aperture to r2 and repeat steps S42 to S43.

[0087] S43. If the mixed water reference preparation speed under the current aperture does not meet the mixed water consumption speed, and the ozone tail gas volume is greater than the alarm threshold, then return to the previous adjustable aperture and give an alarm.

[0088] S5. Add the mixed water into the water tank and mix it with the pure water. At the same time, pump the second micro-nano ozone bubbles into the pure water under pressure to complete the direct drinking water disinfection.

[0089] In step S5, mixed water is added to the water tank to mix with pure water, and the second micro-nano ozone bubbles are pumped into the pure water under pressure. The flow rate of the mixed water and the flow rate of the second micro-nano ozone bubbles are optimized by an optimization algorithm. The specific method is as follows:

[0090] S51, determine the amount of water to be maintained in the water tank, and use a PID closed-loop control algorithm to adjust the amount of pure water input into the water tank when maintaining the amount of water in the water tank, such as Figure 5 shown.

[0091] S52. Determine the maximum flow rate of the mixed water.

[0092] S53, construct a fitness function, the specific formula is:

[0093]

[0094] S54, changing the flow rate of the mixed water and the flow rate of the second micro-nano ozone bubbles, and calculating the fitness function under each change scheme;

[0095] S55. According to the fitness function value under each scheme, the flow rate of the optimal mixed water and the flow rate of the second micro-nano ozone bubbles are selected.

[0096] Step S5, the strategy for changing the scheme may adopt the crossover mutation strategy of the genetic algorithm, or the change strategy of the particle swarm algorithm.

[0097] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does 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 nano-ion ozone disinfection method for direct drinking water, characterized in that: The specific method is as follows: Prepare pure water from municipal water and store it in water tanks; Take pure water, and pump the first micro-nano ozone bubbles into it under pressure to prepare mixed water; Add the mixed water into the water tank and mix it with the pure water, and at the same time, pressurize and pump the second micro-nano ozone bubbles into the pure water to complete the direct drinking water disinfection; When preparing mixed water, the aperture of the first micro-nano ozone bubble is adjusted in real time according to the storage amount and consumption rate of the mixed water; When the following conditions are met, the aperture of the first micro-nano ozone bubble is adjusted in real time, as follows: Selecting the optimal aperture of the first micro-nano ozone bubble as the reference aperture of the first micro-nano ozone bubble; Calculate the mixed water benchmark preparation speed based on the first micro-nano ozone bubble benchmark aperture; If the mixed water consumption rate minus the reference preparation rate is greater than zero, and the mixed water reserve divided by the difference between the mixed water consumption rate and the reference preparation rate is less than the preset time, the first micro-nano ozone bubble aperture is adjusted; otherwise, the first micro-nano ozone bubble aperture is not adjusted.

2. The nano-ion ozone disinfection method for direct drinking water according to claim 1, characterized in that: The first micro-nano ozone bubbles and the second micro-nano ozone bubbles are both generated by an ozone micro-nano bubble machine, pressurized by an air pump, and then ejected through a pressurized nozzle. The pressurized nozzle can adjust the apertures of the first micro-nano ozone bubbles and the second micro-nano ozone bubbles.

3. The nano-ion ozone disinfection method for direct drinking water according to claim 1, characterized in that: The optimal aperture of the first micro-nano ozone bubble is selected as follows: Obtain pure water with a volume equal to the maximum reserve of mixed water as test pure water; First micro-nano ozone bubbles with different pore sizes were pumped into the test pure water respectively, and the tail gas volume, duration and turbidity value when the turbidity of the test pure water was stable were recorded; The evaluation index is calculated by multiplying the turbidity value by the first weight, subtracting the duration multiplied by the second weight, and then subtracting the exhaust volume multiplied by the third weight; The first micro-nano ozone bubble pore size corresponding to the highest evaluation index is selected as the optimal pore size of the first micro-nano ozone bubble.

4. The nano-ion ozone disinfection method for direct drinking water according to claim 3, characterized in that: Calculate the mixed water benchmark preparation rate as follows: The benchmark preparation rate of mixed water is calculated by dividing the maximum reserve amount of mixed water by the time it takes for the turbidity of the test pure water to stabilize.

5. The nano-ion ozone disinfection method for direct drinking water according to claim 1, characterized in that: Mixing water consumption rate is calculated as follows: Based on historical data, train a neural network prediction model; The actual consumption rate of mixed water in a preset period before the current moment is used as input, and the estimated consumption rate of mixed water in a future period is obtained through the trained neural network prediction model; The average value of the actual consumption rate of mixed water in the preset time period before the current moment and the estimated consumption rate of mixed water in the future time period is taken as the consumption rate of mixed water.

6. The nano-ion ozone disinfection method for direct drinking water according to claim 1, characterized in that: When adjusting the aperture of the first micro-nano ozone bubble, the ozone tail gas volume is used as a boundary condition, and the aperture of the first micro-nano ozone bubble is adjusted by a pressurized nozzle. The specific method is as follows: At the first micro-nano ozone bubble reference aperture, the aperture is repeatedly increased step by step, and the test results are queried after each increase to obtain the duration when the turbidity of the test pure water is stable at the aperture; The maximum reserve of mixed water is divided by the time when the turbidity of the test pure water at the current aperture is stable, and the reference preparation speed of mixed water at the current aperture is calculated until the reference preparation speed of mixed water at the current aperture meets the consumption speed of mixed water; If the mixed water reference preparation speed under the current aperture does not meet the mixed water consumption speed, and the ozone tail gas volume is greater than the alarm threshold, it will return to the previous adjustable aperture and then alarm.

7. The nano-ion ozone disinfection method for direct drinking water according to claim 1, characterized in that: When the mixed water is added to the water tank and mixed with the pure water, and the second micro-nano ozone bubbles are pumped into the pure water under pressure, the flow rate of the mixed water and the flow rate of the second micro-nano ozone bubbles are optimized by an optimization algorithm. The specific method is as follows: Determine the holding water volume in the tank; Determine the maximum flow rate of mixed water; Construct a fitness function; The flow rate of the mixed water and the flow rate of the second micro-nano ozone bubbles are changed, and the fitness function under each change scheme is calculated; According to the fitness function value under each scheme, the flow rate of the optimal mixed water and the flow rate of the second micro-nano ozone bubble are selected.

8. The nano-ion ozone disinfection method for direct drinking water according to claim 7, characterized in that: The amount of pure water input into the water tank is adjusted through the PID closed-loop control algorithm to maintain the water level in the water tank.

9. The nano-ion ozone disinfection method for direct drinking water according to claim 7, characterized in that: The fitness function is as follows: Use the expert database to score the direct drinking water after disinfection and the exhaust gas volume; The fitness function was constructed by subtracting the exhaust gas score from the drinking water score.

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