CN211813846U - Intelligent nanofiltration and reverse osmosis water treatment system - Google Patents
Intelligent nanofiltration and reverse osmosis water treatment system Download PDFInfo
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- CN211813846U CN211813846U CN202020117276.9U CN202020117276U CN211813846U CN 211813846 U CN211813846 U CN 211813846U CN 202020117276 U CN202020117276 U CN 202020117276U CN 211813846 U CN211813846 U CN 211813846U
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 235
- 238000001223 reverse osmosis Methods 0.000 title claims abstract description 65
- 238000001728 nano-filtration Methods 0.000 title claims abstract description 15
- 239000012528 membrane Substances 0.000 claims abstract description 87
- 238000001914 filtration Methods 0.000 claims abstract description 23
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 42
- 238000004519 manufacturing process Methods 0.000 claims description 8
- 230000005540 biological transmission Effects 0.000 claims description 6
- 238000011084 recovery Methods 0.000 abstract description 13
- 230000004907 flux Effects 0.000 abstract description 5
- 230000007774 longterm Effects 0.000 abstract description 3
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- 239000005416 organic matter Substances 0.000 description 6
- 238000011001 backwashing Methods 0.000 description 4
- 229910052799 carbon Inorganic materials 0.000 description 4
- 239000000463 material Substances 0.000 description 4
- 238000009285 membrane fouling Methods 0.000 description 4
- 238000013473 artificial intelligence Methods 0.000 description 3
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- 238000005516 engineering process Methods 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
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- 229920000742 Cotton Polymers 0.000 description 2
- 230000000903 blocking effect Effects 0.000 description 2
- 238000004140 cleaning Methods 0.000 description 2
- 239000012141 concentrate Substances 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 229920006395 saturated elastomer Polymers 0.000 description 2
- 238000009303 advanced oxidation process reaction Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000001112 coagulating effect Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010612 desalination reaction Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000005189 flocculation Methods 0.000 description 1
- 230000016615 flocculation Effects 0.000 description 1
- 231100001240 inorganic pollutant Toxicity 0.000 description 1
- 229910017053 inorganic salt Inorganic materials 0.000 description 1
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Abstract
An intelligent nanofiltration and reverse osmosis water treatment system comprises a pretreatment system, a filtration unit group communicated with the pretreatment system, and an NF/RO membrane system, wherein the NF/RO membrane system is provided with a produced water outlet and a concentrated water outlet; the water outlets of the pretreatment system, the filtering unit group and the NF/RO membrane system are provided with water quality sensors; a raw water flow sensor and a raw water quality sensor are arranged on a water inlet pipe of the pretreatment system; a water supply pump is arranged between the pretreatment system and the filtering unit group; a high-pressure pump is arranged between the filtering unit group and the NF/RO membrane system. The utility model discloses with detectable temperature, turbidity, the low-cost optical intelligent sensor of TOC isoparametric and sensor such as conductivity, OPR, pressure, flow combine together, detect simultaneously in the former aquatic have, inorganic matter and suspended solid, the operation flux and the rate of recovery of intelligent regulation membrane system, the long-term operation of remain stable. The utility model discloses low-cost, easy to maintain and operation, facilitate promotion is used.
Description
Technical Field
The utility model relates to a water treatment technical field based on thing networking and artificial intelligence are in an organic whole especially relates to a water treatment system that is arranged in NF (receiving and filtering) and RO (reverse osmosis) membrane of advanced membrane treatment process.
Background
With the national improvement of sewage discharge standard and the increase of reclaimed water recycling strength, advanced membrane treatment technologies such as nanofiltration and reverse osmosis are more and more widely applied. Due to the particularity of the nanofiltration and reverse osmosis membrane materials, strict requirements are imposed on the content of organic pollutants in water, such as suspended matters. The content of organic matters in water is high, and the membrane is easy to cause pollution and blockage, thereby reducing the water yield and the water quality of the membrane. However, at high temperatures or high recovery rates, the membranes are easily fouled and require chemical cleaning. The conductivity, the desalination rate, the recovery rate and the like are often used as judgment standards for evaluating the operation of a membrane system and whether the quality of produced water is qualified. The content of the organic matters cannot be brought into the judgment basis, although the membrane has a certain removal rate on the organic matters, the intercepted organic matters are accumulated in the concentrated water, and the further treatment of the concentrated water is influenced by the content of the organic matters. In addition, the general pretreatment of the membrane comprises a multi-media filter, an activated carbon filter and a cartridge filter, the operation conditions of the filters are judged to be good or not by pressure difference at present, once the pretreatment fails or the treatment effect is reduced, the change of inorganic matters can be measured by conductivity, but organic matters and suspended matters cannot be fed back in time, so that the membrane can be polluted or blocked in a short time.
The most common of the existing membrane systems is monitoring: TDS (total dissolved solids), ORP (oxidation reduction potential), pressure, flow, temperature, etc. Whether the quality of the incoming water is suitable for the membrane inlet system is measured only by SDI (sludge density index) values. Generally SDI is less than or equal to 3, then the water is considered to enter the membrane system. Due to the limited existing monitoring means and the relatively high cost and complex operation and maintenance of online organic matter content detection equipment such as a Total Organic Carbon (TOC) online monitor and the like, the existing monitoring means is not widely applied to data monitoring of NF (nanofiltration) and RO (reverse osmosis) membrane systems. In actual water treatment, the organic content of water is often neglected.
Therefore, how to overcome the defects that the existing monitoring means is limited, the cost of the online organic matter content detection equipment is high, the maintenance is complex, and the monitoring of the organic matter content in water is often neglected in the actual sewage treatment process is a problem to be solved in the industry.
SUMMERY OF THE UTILITY MODEL
The utility model discloses a when solving current sewage treatment, because the monitoring means is limited and online organic matter content detection equipment is with high costs and the operation is complicated, the problem that the monitoring of aquatic organic matter content is often neglected provides a low-cost, easy maintenance operation can high-efficient control situation of intaking and last steady operation's a water treatment system of NF (receive and strain) and RO (reverse osmosis) membrane.
The utility model provides an intelligent nanofiltration and reverse osmosis water treatment system, which comprises a pretreatment system, a filtration unit group and a NF/RO membrane system, wherein the filtration unit group and the NF/RO membrane system are sequentially communicated with the pretreatment system; the water outlets of the pretreatment system, the filtering unit group and the NF/RO membrane system are all provided with water quality sensors; a raw water flow sensor and a raw water quality sensor are arranged on the water inlet pipe of the pretreatment system; a water supply pump is arranged between the pretreatment system and the filtering unit group; and a high-pressure pump is arranged between the filtering unit group and the NF/RO membrane system.
Furthermore, the filtering unit group comprises a multi-media filter, an activated carbon filter and a security filter which are connected in sequence; and water quality sensors are respectively arranged at the water outlets of the multi-medium filter, the activated carbon filter and the rear-end filter.
Furthermore, a water inlet and a water outlet of the multi-medium filter are respectively provided with a water inlet pressure sensor and a water outlet pressure sensor.
Furthermore, a water inlet and a water outlet of the activated carbon filter are respectively provided with a water inlet pressure sensor and a water outlet pressure sensor.
Furthermore, the water inlet and the water outlet of the cartridge filter are respectively provided with a water inlet pressure sensor and a water outlet pressure sensor.
Furthermore, a water inlet and a water outlet of the NF/RO membrane system are respectively provided with a water inlet pressure sensor and a water production pressure sensor.
Further, the system also comprises an NB-IoT data transmission module which transmits the data collected by the system to a mobile phone or a cloud server through the Internet.
The utility model discloses with detectable temperature, turbidity, the low-cost optics intelligent sensor and the conductivity of TOC isoparametric, OPR, pressure, sensors such as flow combine together, can detect suspended solid, organic matter and inorganic matter in the former aquatic simultaneously, the operation flux and the rate of recovery of intelligent regulation membrane system let the membrane system in the long-term operation of continuous stability under the qualified circumstances of product water quality of water. The running data can be checked through the mobile phone APP and the cloud big data system to form a database. The organic combination of the Internet of things, artificial intelligence and a membrane system is realized. The utility model discloses low-cost, easy to maintain and operation, facilitate promotion is used.
Drawings
Fig. 1 is a schematic view of the process flow of the embodiment of the present invention.
Wherein: 1-a pretreatment system; 2-a multi-media filter; 5-NF/RO membrane system; 11-raw water flow sensor; 12-raw water quality sensor; 13-pretreated effluent quality sensor; 21-water supply pump; 22-a multi-media filter water inlet pressure sensor; 23-a multi-media filter outlet water pressure sensor; 24-a multi-medium filter effluent quality sensor; 31-an active carbon filter water inlet pressure sensor; 32-an active carbon filter outlet water pressure sensor; 33-an active carbon filter effluent quality sensor; 41-cartridge filter water inlet pressure sensor; 42-cartridge filter outlet pressure sensor; 43-cartridge filter effluent quality sensor;
51-a high pressure pump; 52-NF/RO membrane water inlet pressure sensor; a 53-NF/RO membrane water production pressure sensor; 54-NF/RO membrane produced water quality sensor; a water production flow sensor of 55-NF/RO membrane; 56-NF/RO membrane concentrated water pressure sensor; 57-NF/RO membrane concentrated water discharge flow sensor; 58-NF/RO membrane concentrated water quality sensor; and the 59-NF/RO membrane concentrated water backflow flow sensor.
Detailed Description
As shown in fig. 1, is a schematic view of the process flow of the embodiment of the present invention. The utility model provides an intelligence is received and is strained and reverse osmosis water treatment system, it includes: the pretreatment system 1, a filtering unit group and an NF/RO membrane system 5 which are sequentially communicated with the pretreatment system 1. The NF/RO membrane system 5 is provided with a concentrated water outlet and a produced water outlet communicated with the produced water tank 6, and the concentrated water outlet is communicated with the water inlet of the NF/RO membrane system 5 and is communicated with the outside. In this embodiment, the filtering unit group includes: the multi-media filter 2, the activated carbon filter 3 and the cartridge filter 4 are communicated in sequence. For different water treatment processes, an ultrafiltration membrane can be used for replacing a cartridge filter, and the treatment and judgment principles are the same. The pretreatment system 1 is communicated with a multi-media filter 2 through a water supply pump 21, and a cartridge filter 4 is communicated with an NF/RO membrane system 5 through a high-pressure pump 51. Water quality sensors 13, 24, 33, 43 and 54 are respectively arranged at the water outlets of the pretreatment system 1, the multi-medium filter 2, the activated carbon filter 3, the cartridge filter 4 and the NF/RO membrane system 5; the water inlet pipe of the pretreatment system 1 is provided with a raw water flow sensor 11 and a raw water quality sensor 12. A water inlet pressure sensor 22 is arranged at the water inlet of the multi-medium filter 2, and a water outlet pressure sensor 23 is arranged at the water outlet; similarly, the water inlet and the water outlet of the activated carbon filter 3 are respectively provided with a water inlet pressure sensor 31 and a water outlet pressure sensor 32; the water inlet and the water outlet of the cartridge filter 4 are respectively provided with a water inlet pressure sensor 41 and a water outlet pressure sensor 42; the water inlet and the water outlet of the NF/RO membrane system 5 are respectively provided with a water inlet pressure sensor 52 and a water production pressure sensor 53; the water outlet of the NF/RO membrane system 5 is also provided with a water flow sensor 55 of the NF/RO membrane. A concentrated water outlet of the NF/RO membrane system 5 is provided with an NF/RO membrane concentrated water pressure sensor 56; an NF/RO membrane concentrate discharge flow sensor 57 and an NF/RO membrane concentrate water quality sensor 58. A pipeline of which the concentrated water outlet is communicated with the water inlet of the NF/RO membrane system 5 is also provided with an NF/RO membrane concentrated water backflow flow sensor 59.
The utility model discloses a still include NB-IoT data transmission module among the water processing system, convey the data of system's collection in cell-phone or high in the clouds server through the internet.
The utility model also provides an use intelligent nanofiltration and reverse osmosis water treatment system's processing method, the processing step is as follows:
raw water to be treated is input into the pretreatment system 1 through the raw water flow sensor 11 and the raw water quality sensor 12, TOC, COD, turbidity, water temperature parameters and raw water flow data of the raw water are detected through the pretreatment effluent quality sensor 13, and the process, flocculation treatment time and dosage required by raw water pretreatment are calculated according to the data systems. The process of the raw water pretreatment stage comprises the following steps: coagulating sedimentation, mainly removing suspended matters and other SS in the inlet water. If the content of organic matters in the raw water is high, an air floatation or advanced oxidation process needs to be added. The water outlet standard for judging whether the water outlet of the pretreatment system 1 meets the standard can be as follows: whether turbidity is less than 20NTU and TOC is less than 25 ppm. If so, the effluent enters a multi-media filter 2 of the next processing unit; if not, the effluent is returned to the pretreatment system 1 for retreatment until the effluent is qualified.
The effluent enters the multi-media filter 2 and is output after being filtered, and the turbidity parameter of the effluent is collected by the multi-media filter effluent quality sensor 24 to reflect the filtering effect of the multi-media filter 2. And if the turbidity value meets the requirement, namely the turbidity of the effluent is less than 20NTU, the effluent enters an activated carbon filter 3. Otherwise, the water inlet of the backflow pretreatment system 1 is retreated. The water inlet and outlet pressure sensors 22 and 23 on the multimedia filter 2 are used for controlling the filtering and backwashing periods, and when the water pressure difference between the inlet and outlet exceeds 20 percent, namely when the value of (water inlet pressure-water outlet pressure)/water inlet pressure exceeds 20 percent, the multimedia filter 2 needs to be backwashed. If the turbidity value of the outlet water is increased to be more than 80% of the turbidity value of the water entering the multi-media filter 2 and the turbidity value cannot be reduced through backwashing, the filter material in the multi-media filter 2 is judged to be saturated, and the filter material needs to be replaced immediately.
The effluent enters the activated carbon filter 3 and is output after being filtered, and the turbidity parameter of the effluent is collected by the activated carbon filter effluent quality sensor 33 to reflect the filtering effect of the activated carbon filter 3. And if the turbidity value meets the requirement, namely the turbidity of the outlet water is less than 5NTU, the outlet water enters the cartridge filter 4. Otherwise, the water inlet of the backflow pretreatment system 1 is retreated. The water inlet and outlet pressure sensors 31 and 32 on the activated carbon filter 3 are used for controlling the filtering and backwashing periods, and when the water pressure difference between the inlet and outlet exceeds 20%, namely when the value of (water inlet pressure-water outlet pressure)/water inlet pressure exceeds 20%, the activated carbon filter 3 needs to be backwashed. If the turbidity value of the outlet water gradually rises to more than 80% of the turbidity value of the water entering the activated carbon filter 3 and the turbidity value cannot be reduced by backwashing, it is determined that the filter material of the activated carbon filter 3 is saturated and needs to be replaced immediately.
The effluent enters the security filter 4 and is output after being filtered, the filtering precision of the security filter 4 is 1-5um, and most of insoluble SS and organic matters in the effluent can be intercepted. The effluent turbidity value and TOC of the effluent are collected by the effluent quality sensor 43 of the cartridge filter, and if the turbidity is less than 1NTU and the TOC is less than 25ppm, the effluent of the cartridge filter 4 can enter the NF/RO membrane system 5. Otherwise, either a return flow to front-end pre-treatment is required or the guard filter is checked for failure. The water inlet and outlet pressure sensors 41, 42 on the cartridge filter 4 are used to control the replacement cycle of the PP cotton filter element in the cartridge filter 4. When the pressure difference between the water pressure at the inlet and the water pressure at the outlet exceeds 20 percent, namely when the value of (the water inlet pressure-the water outlet pressure)/the water inlet pressure of the cartridge filter 4 exceeds 20 percent, the PP cotton filter element in the cartridge filter 4 is replaced. From the data collected, it can be seen that the effluent passing through cartridge filter 4, whether turbidity values or TOC, is in a decreasing trend.
And the effluent enters the NF/RO membrane system 5 and is subjected to reverse osmosis to output produced water, TDS and TOC data of the produced water are collected and judged by the NF/RO membrane produced water quality sensor 54, the produced water is qualified, and the produced water is discharged into the produced water tank 6 for later use. Because the quality of the inlet water is different from that of the outlet water, the TDS and TOC values of the produced water are determined according to the actual use condition. The output of the produced water is measured by the NF/RO membrane produced water flow sensor 55. And if the produced water is not qualified, refluxing the produced water to the pretreatment system 1 for retreatment. Generally, during the start-up period of the NF/RO membrane system 5, the produced water quality TDS, TOC and the like are high, and the unqualified produced water flows back to the front-stage pretreatment system 1 for retreatment.
When the TOC content of the feed water to the NF/RO membrane system is collected to be greater than 20ppm but less than 25ppm, this indicates that such water would risk fouling of the membranes, and the reduction in the operating flux and recovery of the system, regardless of the conductivity values in the feed water, is considered appropriate. This is different from conventional design methods in that the design flux and recovery rate of conventional NF/RO membrane systems primarily takes into account the conductivity in the influent water, and the utility model discloses the TOC content in the influent water is primarily considered. And the TOC value of the produced water and the concentrated water is combined, so that the system can run for a long time and stably under the condition of ensuring the quality of the produced water, and the risk of pollution blockage and scaling is reduced.
In addition, the data detected by the inlet water pressure sensor 52 and the product water pressure sensor 53 of the NF/RO membrane system 5 are critical data for directly judging the operating conditions of the membrane system. And the data collected by the water sensor in the system can effectively analyze whether the pollution or organic matters caused by particles or inorganic salt scaling, thereby making corresponding cleaning measures.
When the utility model discloses a multimedium filter 2, activated carbon filter 3, cartridge filter 4 or 5 play water quality data collection of NF RO membrane system reach 365 days, can regard as a complete duty cycle, record the minimum and the frequency that the maximum value and the different range values of each parameter appear, can reach the product water quality situation under the above-mentioned each filter unit's the best operating mode and the best operating mode through system analysis.
And a concentrated water discharge pipe of a concentrated water outlet of the NF/RO membrane system 5 is provided with an NF/RO membrane concentrated water discharge flow sensor 57, and the output quantity of concentrated water is detected by the sensor 57 and is used for calculating the recovery rate of the membrane system 5 and controlling the recovery rate of the membrane system 5. TDS and TOC values are detected by a NF/RO membrane concentrated water quality sensor 58 arranged on a concentrated water discharge pipe, the TDS and TOC values are combined to measure the quality condition of the concentrated water of the system, the risk of membrane pollution caused by organic and inorganic pollutants in the discharged concentrated water is judged, and the flux and the system recovery rate of the membrane system 5 are adjusted. The membrane cross flow rate can be increased by the concentrated water reflux treatment, and the membrane fouling and blocking risk is reduced; the recovery rate of the membrane system 5 can be improved, and the return flow of the membrane system can be measured by a NF/RO membrane concentrated water return flow sensor 59 arranged on a concentrated water return pipe. The pressure of the discharged concentrated water is measured by an NF/RO membrane concentrated water pressure sensor 56 arranged on the concentrated water discharge pipe, the difference value of the measured pressure and the measured pressure of the water inlet pressure sensor 52 of the membrane system 5 is transmembrane pressure difference, the transmembrane pressure difference is one of key parameters for measuring the membrane fouling and blocking condition, and when the transmembrane pressure difference exceeds 20 percent, the membrane system needs to be chemically cleaned.
The concentrated water discharged from the concentrated water outlet of the NF/RO membrane system is divided into two parts: one part is discharged and the other part flows back. The reflux is to improve the system recovery rate and reduce the membrane fouling risk. The concentrated water discharge and the concentrated water return are simultaneously carried out, the concentrated water return pipeline is communicated with the discharge pipeline, and the flow rate is adjusted through a manual or automatic valve. The membrane system recovery rate calculation formula is as follows: water production/(water production + concentrated water discharge); the reflux quantity of the concentrated water is related to the total recovery rate of the system, the water quality and the like, and the reflux ratio of the concentrated water (formula: reflux quantity of the concentrated water/total quantity of the concentrated water) is not too high and is controlled below 60 percent. If the reflux ratio is too high, the energy consumption will increase and the risk of membrane fouling will increase.
Meanwhile, parameters acquired in each stage of raw water treatment are transmitted to mobile phones of operators and maintainers in real time through the NB-IoT data transmission module, and can be uploaded to a cloud server, so that control and management are facilitated.
The NB-IoT described in the present invention refers to a Narrow-Band Internet of Things (Narrow Band-Internet of Things) technology. The NB-IOT is applicable to low power consumption and wide coverage (LPWA) Internet of things (IoT) application, and is an emerging technology of the Internet of things which can be widely applied in the global scope. The "NB-IoT" mentioned in the patent document refers to a data transmission method, and mainly because some devices or areas cannot transmit data in bluetooth or WIFI, an NB-IoT method is adopted. This is a very mature data transmission mode internationally.
The utility model discloses all set up quality of water sensor on every water treatment unit, carry out real-time supervision to the quality of water that each step unit was handled, judge the operation conditions of each unit and make corresponding feedback through the data intelligence of gathering. The utility model discloses with low-cost optics intelligent sensor and conductivity, OPR, pressure, sensors such as flow combine together, can let the membrane system last stable long-term operation under the qualified circumstances of product water quality of water. The running data can be checked through the mobile phone APP and the cloud big data system to form a database. The organic combination of the Internet of things, artificial intelligence and a membrane system is realized. The utility model discloses low-cost, easy to maintain operation, convenient to popularize and apply.
The above embodiments are mainly intended to illustrate the inventive concept, and it should be noted that, for those skilled in the art, a plurality of modifications and improvements can be made without departing from the inventive concept, and all of them belong to the protection scope of the present invention.
Claims (7)
1. An intelligent nanofiltration and reverse osmosis water treatment system comprises a pretreatment system, and is characterized by also comprising a filtration unit group and an NF/RO membrane system which are sequentially communicated with the pretreatment system, wherein the NF/RO membrane system is provided with a water production outlet and a concentrated water outlet; the water outlets of the pretreatment system, the filtering unit group and the NF/RO membrane system are all provided with water quality sensors; a raw water flow sensor and a raw water quality sensor are arranged on the water inlet pipe of the pretreatment system; a water supply pump is arranged between the pretreatment system and the filtering unit group; and a high-pressure pump is arranged between the filtering unit group and the NF/RO membrane system.
2. The intelligent nanofiltration and reverse osmosis water treatment system of claim 1, wherein the filtration unit set comprises a multi-media filter, an activated carbon filter and a cartridge filter which are connected in sequence; and water quality sensors are respectively arranged at the water outlets of the multi-medium filter, the activated carbon filter and the security filter.
3. The intelligent nanofiltration and reverse osmosis water treatment system of claim 2, wherein the water inlet and outlet of the multi-media filter are respectively provided with a water inlet pressure sensor and a water outlet pressure sensor.
4. The intelligent nanofiltration and reverse osmosis water treatment system of claim 2, wherein the water inlet and outlet of the activated carbon filter are provided with water inlet and outlet pressure sensors, respectively.
5. The intelligent nanofiltration and reverse osmosis water treatment system of claim 2, wherein the water inlet and outlet of the cartridge filter are respectively provided with a water inlet pressure sensor and a water outlet pressure sensor.
6. The intelligent nanofiltration and reverse osmosis water treatment system of claim 1, wherein the water inlet and outlet of the NF/RO membrane system are provided with water inlet and water production pressure sensors, respectively.
7. The intelligent nanofiltration and reverse osmosis water treatment system of claim 1, further comprising an NB-IoT data transmission module that transmits data collected by the system to a cell phone or a cloud server via the internet.
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| CN111039470A (en) * | 2020-01-18 | 2020-04-21 | 深圳市君脉膜科技有限公司 | Intelligent nanofiltration and reverse osmosis water treatment system and treatment method |
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| CN111039470A (en) * | 2020-01-18 | 2020-04-21 | 深圳市君脉膜科技有限公司 | Intelligent nanofiltration and reverse osmosis water treatment system and treatment method |
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