CN117263321A - Water treatment device and monitoring method - Google Patents
Water treatment device and monitoring method Download PDFInfo
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- CN117263321A CN117263321A CN202311494293.9A CN202311494293A CN117263321A CN 117263321 A CN117263321 A CN 117263321A CN 202311494293 A CN202311494293 A CN 202311494293A CN 117263321 A CN117263321 A CN 117263321A
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- reverse osmosis
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- osmosis membrane
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 130
- 238000011282 treatment Methods 0.000 title claims abstract description 38
- 238000012544 monitoring process Methods 0.000 title claims abstract description 26
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000001223 reverse osmosis Methods 0.000 claims abstract description 89
- 239000012528 membrane Substances 0.000 claims abstract description 80
- 238000007405 data analysis Methods 0.000 claims abstract description 17
- 238000001914 filtration Methods 0.000 claims description 19
- 238000004140 cleaning Methods 0.000 claims description 16
- 239000002351 wastewater Substances 0.000 claims description 13
- 238000001514 detection method Methods 0.000 claims description 12
- 238000012545 processing Methods 0.000 claims description 9
- 238000011010 flushing procedure Methods 0.000 claims description 8
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 238000010801 machine learning Methods 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 4
- 238000013528 artificial neural network Methods 0.000 claims description 4
- 238000013500 data storage Methods 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 3
- 230000008439 repair process Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 11
- 238000004065 wastewater treatment Methods 0.000 abstract description 6
- 230000008859 change Effects 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 230000000694 effects Effects 0.000 description 8
- 239000007788 liquid Substances 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000003647 oxidation Effects 0.000 description 4
- 238000007254 oxidation reaction Methods 0.000 description 4
- 239000002245 particle Substances 0.000 description 4
- 239000000126 substance Substances 0.000 description 4
- 241000894006 Bacteria Species 0.000 description 3
- 239000003344 environmental pollutant Substances 0.000 description 3
- 239000012535 impurity Substances 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000009285 membrane fouling Methods 0.000 description 3
- 244000005700 microbiome Species 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 231100000719 pollutant Toxicity 0.000 description 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 239000007800 oxidant agent Substances 0.000 description 2
- 239000011148 porous material Substances 0.000 description 2
- 238000005406 washing Methods 0.000 description 2
- ZAMOUSCENKQFHK-UHFFFAOYSA-N Chlorine atom Chemical compound [Cl] ZAMOUSCENKQFHK-UHFFFAOYSA-N 0.000 description 1
- 239000004952 Polyamide Substances 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 238000005299 abrasion Methods 0.000 description 1
- 238000010170 biological method Methods 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 229910052801 chlorine Inorganic materials 0.000 description 1
- 239000000460 chlorine Substances 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013079 data visualisation Methods 0.000 description 1
- 238000010612 desalination reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 239000008235 industrial water Substances 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 239000003960 organic solvent Substances 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 229920002647 polyamide Polymers 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000010926 purge Methods 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000010992 reflux Methods 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 238000011269 treatment regimen Methods 0.000 description 1
- 238000000108 ultra-filtration Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/44—Treatment of water, waste water, or sewage by dialysis, osmosis or reverse osmosis
- C02F1/441—Treatment of water, waste water, or sewage by dialysis, osmosis or reverse osmosis by reverse osmosis
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D65/00—Accessories or auxiliary operations, in general, for separation processes or apparatus using semi-permeable membranes
- B01D65/02—Membrane cleaning or sterilisation ; Membrane regeneration
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D65/00—Accessories or auxiliary operations, in general, for separation processes or apparatus using semi-permeable membranes
- B01D65/10—Testing of membranes or membrane apparatus; Detecting or repairing leaks
- B01D65/109—Testing of membrane fouling or clogging, e.g. amount or affinity
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/008—Control or steering systems not provided for elsewhere in subclass C02F
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/001—Upstream control, i.e. monitoring for predictive control
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/003—Downstream control, i.e. outlet monitoring, e.g. to check the treating agents, such as halogens or ozone, leaving the process
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2301/00—General aspects of water treatment
- C02F2301/08—Multistage treatments, e.g. repetition of the same process step under different conditions
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2303/00—Specific treatment goals
- C02F2303/14—Maintenance of water treatment installations
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2303/00—Specific treatment goals
- C02F2303/16—Regeneration of sorbents, filters
Abstract
The invention discloses a water treatment device and a monitoring method, which belong to the field of wastewater treatment, and can monitor various parameters in the reverse osmosis operation process in real time through real-time monitoring and data analysis, timely adjust the parameters according to the change of the parameters, timely find potential problems and take corresponding measures through monitoring the operation state of a reverse osmosis membrane, thereby being beneficial to improving the water treatment efficiency, and simultaneously avoiding causing larger damage to a system.
Description
Technical Field
The invention belongs to the technical field of wastewater treatment, and particularly relates to a water treatment device and a monitoring method.
Background
With the development of industry and cities, the pollution problem of water resources is becoming more and more focused, and in order to meet the demands of people for clean water sources, water treatment devices are widely used in various places, such as families, factories, public facilities, etc., and water treatment devices refer to systems for purifying and treating water by physical, chemical or biological methods, and common types include activated carbon filters, ultrafiltration systems, reverse osmosis systems, etc.
Some problems occur in the actual production process, such as membrane fouling, membrane oxidation, membrane damage and the like, and the membrane fouling is as follows: since water contains a large amount of suspended matters and organic matters, the suspended matters and the organic matters are easy to deposit on the surface of a reverse osmosis membrane, so that the pores of the membrane are blocked, the water permeability of the membrane is affected, and in addition, if the water contains microorganisms and bacteria, the microorganisms and the bacteria can multiply on the surface of the membrane to form a biological membrane, and the pores of the membrane are further blocked; film oxidation: reverse osmosis membranes are generally made of polyamide materials, which are susceptible to oxidizing agents, and if water contains oxidizing agents, such as free chlorine, they react with the reverse osmosis membrane, resulting in reduced membrane performance, and if the pH of the water is too high or too low, oxidation of the membrane may occur; film damage: because reverse osmosis membranes are made of high molecular materials, the reverse osmosis membranes have certain vulnerability, and in the operation process, if improper operation such as excessive pressure or temperature exists, the membranes can be damaged, and in addition, if water contains substances such as organic solvents or inorganic salts, the substances can damage the membranes, and the factors can lead to the performance reduction of a reverse osmosis system and influence the normal operation of the system.
In the operation process of the reverse osmosis membrane for industrial water supply and water treatment, a process control system only alarms according to some index thresholds, and operators and technicians cannot always pay attention to each parameter in the reverse osmosis operation process, so that a lot of membrane fouling, membrane oxidation and membrane damage can occur in the actual production process.
Disclosure of Invention
The invention aims to provide a water treatment device and a monitoring method, which are used for solving the problem that all parameters in the reverse osmosis operation process cannot be monitored.
In order to achieve the above purpose, the present invention provides the following technical solutions: the utility model provides a water treatment facilities includes water inlet system, filtration system and play water system, be provided with filter and back flush pipeline on the water inlet system, the filtration system is formed by two sets of reverse osmosis membranes connection, be provided with on play water system and the filtration system and wash the pipeline for wash water system and filtration system, be provided with multiple detecting instrument on water inlet system, filtration system, the play water system for detect the data before and after the waste water filters.
Further, the two reverse osmosis membranes are divided into a first reverse osmosis membrane and a second reverse osmosis membrane, and the water outlet pipeline of the first reverse osmosis membrane is communicated with the water inlet pipeline of the second reverse osmosis membrane through a second pump and a valve.
Further, the water inlet pipelines of the first reverse osmosis membrane and the second reverse osmosis membrane are respectively provided with a second port and a fourth port, and the water outlet pipelines of the first reverse osmosis membrane and the second reverse osmosis membrane are respectively provided with a third port and a fifth port.
The filter is used for filtering particles with larger diameter, the particles are prevented from accumulating at the reverse osmosis membrane, the reverse osmosis flushing water pump is used for back flushing the filter, the back flushing function can be used for removing impurities and pollutants in the filter, the blocking and damage of the filter are avoided, the service life of equipment is prolonged, reverse osmosis cleaning liquid is injected into the second port and the fourth port, the first reverse osmosis membrane, the second reverse osmosis membrane and the water outlet system can be effectively flushed, the cleaning liquid can be used for removing the pollutants and impurities in the reverse osmosis membrane and the water outlet system, the performance of the reverse osmosis membrane is recovered, and the water outlet quality is improved.
A water treatment monitoring method comprises the steps of data acquisition, data analysis and pre-alarm.
Further, the data acquisition is realized by the following steps
S11, selecting proper sensors and detection equipment according to the characteristics and monitoring requirements of the water treatment device, and installing and debugging the water treatment device at proper positions;
s12, setting a time interval and a frequency of data acquisition;
s13, storing the acquired data in a data storage device;
and S14, continuously calibrating and maintaining the sensor and the detection equipment.
Further, the data analysis processing is realized by the following steps
S21, cleaning and arranging the acquired data;
s22, comparing and analyzing the data by using a preset standard value or a reference value;
s23, performing data analysis processing through a computer program of the control system;
and S24, generating a corresponding data report or chart according to the analysis result.
Further, the data analysis processing further includes S25 performing automatic learning and analysis on the water quality data by using a machine learning algorithm such as a neural network.
Further, the pre-alarm is achieved by the steps of
S31, judging whether the water quality reaches a preset standard or whether the running state of the reverse osmosis membrane is normal or not according to the data analysis result;
s32, if abnormal conditions occur, early warning prompt is carried out;
s33, when the system predicts a potential problem or fault, taking measures in advance to intervene and repair;
and S34, continuously monitoring water quality data and evaluating the effectiveness of early warning.
Compared with the prior art, the invention has the beneficial effects that:
through real-time monitoring and data analysis, each parameter in the reverse osmosis operation process can be monitored in real time, the parameters can be timely adjusted according to the change of the parameters, potential problems can be timely found and corresponding measures can be taken by monitoring the operation state of the reverse osmosis membrane, the water treatment efficiency can be improved, and meanwhile, larger damage to the system can be avoided;
by utilizing machine learning algorithms such as a neural network and the like to automatically learn and analyze the water quality data, the operation parameters and conditions of the water treatment device can be automatically adjusted, the treatment effect is optimized, the influence on the environment is reduced, and the management intelligence level is improved.
Drawings
FIG. 1 is a schematic diagram of a water intake system;
FIG. 2 is a schematic diagram of a filtration system;
FIG. 3 is a schematic diagram of an outlet pipeline;
FIG. 4 is a diagram of a combined use system of FIGS. 1-3;
FIG. 5 is a flow chart of a water treatment monitoring method;
FIG. 6 is a data acquisition flow chart;
FIG. 7 is a flow chart of a data analysis process;
fig. 8 is a pre-alarm flow chart.
In the figure: 110. a filter; 120. a first pump; 130. water is fed from a reverse osmosis water feeding pump; 140. reverse osmosis flushing water pump water supply; 210. a reverse osmosis membrane number one; 220. a second reverse osmosis membrane; 230. reverse osmosis cleaning solution; 240. reverse osmosis purge bin; 310. and a water outlet pipeline.
Detailed Description
The invention is further described below with reference to examples.
The following examples are illustrative of the present invention but are not intended to limit the scope of the invention. The conditions in the examples can be further adjusted according to specific conditions, and simple modifications of the method of the invention under the premise of the conception of the invention are all within the scope of the invention as claimed.
Referring to fig. 1-4, the present invention provides a water treatment apparatus, which includes a water inlet system, a filtering system and a water outlet system.
And (3) a water inlet system: the water intake system includes a filter 110 and a pump number one 120; the two ends of the filter 110 are respectively communicated with the reverse osmosis water supply pump water 130 and the first pump 120 through valve control, detection instruments such as temperature TT, conductance CT, pH value PH, flow FT, pressure PI and the like are arranged between the filter 110 and the reverse osmosis water supply pump water 130, the filter 110 and the first pump 120 are also provided with the pressure PI, one side of the first pump 120 far away from the filter 110 is provided with the pressure PI, the detection instruments can monitor various indexes of water in real time, then the detection instruments are communicated with a first port of a filter system through a control valve, and one side of the first pump 120 far away from the filter 110 is provided with the reverse osmosis water supply pump water 140 through valve control communication, so that back flushing of the filter 110 can be realized, and the cleanness of the filter 110 is kept.
Filtration system: the filtration system comprises a first reverse osmosis membrane 210 and a second reverse osmosis membrane 220; the water outlet pipeline of the first reverse osmosis membrane 210 is communicated with the water inlet pipeline of the second reverse osmosis membrane 220 through a second pump 250 and a valve, and is used for filtering impurities in water. The pressure PI and the pressure transmitter PT are arranged on the side, away from each other, of the second pump 250 and the valve, so that the pressure of water can be monitored in real time, and the stable operation of the system is ensured. The water inlet pipeline and the water outlet pipeline of the first reverse osmosis membrane 210 and the second reverse osmosis membrane 220 are respectively communicated with the second port, the third port, the fourth port and the fifth port through valves, and the water inlet pipeline of the first reverse osmosis membrane 210 and the second reverse osmosis membrane 220 is respectively provided with the second port and the fourth port for inputting reverse osmosis cleaning liquid 230, and the waste water after washing can be discharged through the two ports and flows back into the washing tank. The water outlet pipelines of the first reverse osmosis membrane 210 and the second reverse osmosis membrane 220 are respectively provided with a third port and a fifth port for discharging and refluxing the cleaning liquid to the reverse osmosis cleaning tank 240, and the cleaned wastewater can be discharged through the two ports and refluxed to the cleaning tank. The outlet pipeline of the second reverse osmosis membrane 220 is communicated with a sixth port through a valve, the sixth port is mainly used for recycling concentrated water, and the outlet pipeline of the second reverse osmosis membrane 220 is communicated with a pipeline of the sixth port and is provided with flow FT, pressure PI and pressure transmitter PT detection instruments, so that the flow and pressure of water can be monitored in real time, and the stable operation of the system is ensured.
And (3) a water outlet system: the water outlet pipeline 310 is communicated with the first reverse osmosis membrane 210 and the second reverse osmosis membrane 220, and is used for collecting water subjected to reverse osmosis treatment. The water outlet pipeline 310 is communicated with a seventh port through a valve, and filtered water is produced through the seventh port. The water outlet pipeline 310 is communicated with the eighth port through a valve on the three-way pipeline, and the cleaning liquid can flow back to the reverse osmosis cleaning tank 240 from the eighth port. The water outlet pipeline 310 is provided with flow FT, pressure PI and conductance CT detection instruments.
The working flow is as follows: the wastewater passes through the filter 110 by the reverse osmosis feed pump, the wastewater passes through the filter 110 to filter larger particles, the damage of the large particles to the reverse osmosis membrane is prevented, before the wastewater enters the filter 110, the temperature TT, the conductance CT, the PH, the flow FT and the pressure PI are required to be detected, the detected wastewater enters the first reverse osmosis membrane 210 after being pressurized by the first pump 120, the first reverse osmosis membrane 210 separates the water and partial solute in the wastewater, when the first reverse osmosis membrane 210 is not abnormal, the wastewater is discharged from the seventh port after the flow, the pressure and the conductance are detected by the water outlet pipeline 310, when the first reverse osmosis membrane 210 is abnormal, such as blockage or damage, the pressure values on two sides of the first reverse osmosis membrane 210 are not in a specific range, the flow FT, the pressure PI and the conductance CT on the water outlet pipeline 310 are not in a specific range, the wastewater enters the second reverse osmosis membrane 220 to be filtered by the second pump 250, the second reverse osmosis membrane 220 is abnormal, the wastewater is recovered through the sixth port, and the concentrated water is discharged from the seventh port of the water outlet pipeline 310 after the wastewater is filtered.
The reverse osmosis cleaning solution is injected into the first reverse osmosis membrane 210, the second reverse osmosis membrane 220 and the water outlet system through the second port and the fourth port, and then the cleaning solution returns to the reverse osmosis cleaning tank 240 through the third port, the fourth port and the eighth port on the water outlet system.
Referring to fig. 5-8, a water treatment monitoring method comprises the following steps:
step S1, data acquisition;
s11: according to the characteristics and monitoring requirements of the water treatment device, proper sensors and detection equipment are selected, installed and debugged in place. These devices should be able to monitor various parameters related to the effectiveness of the water treatment, such as temperature of the incoming water, conductivity, ph, flow, and pressure of the reverse osmosis membrane.
S12: and setting the time interval and the frequency of data acquisition, so as to ensure that the latest monitoring data can be acquired in time. This can be adjusted according to the operating cycle of the water treatment device and the monitoring requirements.
S13: the collected data is stored in a data storage device for subsequent data analysis and processing. It should be ensured that the data storage device has sufficient capacity and security to prevent data loss or corruption.
S14: and the sensor and the detection equipment are continuously calibrated and maintained, so that the accuracy and the reliability of data are ensured. This includes periodic checks of the operating state of the device, calibration and calibration, etc., to ensure that its accuracy meets the expected requirements.
S2, data analysis processing;
s21: and cleaning and arranging the acquired data to remove abnormal values and error data. This may be done by a data cleansing algorithm or by manual auditing.
S22: the data are compared and analyzed using a preset standard or reference value. For example, the water quality parameter may be compared with a preset water quality standard value to evaluate whether the water treatment effect meets the expected requirement.
S23: the data analysis processing is performed by a computer program of the control system, for example, indexes such as a filtering effect, a water production rate and the like are calculated. This may help to better understand the effectiveness and efficiency of the water treatment process.
S24: and generating a corresponding data report or chart according to the analysis result so as to better display and analyze the monitoring result. This may provide an intuitive data visualization effect, facilitating understanding and decision making.
S25: and automatically learning and analyzing the water quality data by using a machine learning algorithm such as a neural network. By training the model, the water quality abnormality can be automatically identified and the future change trend can be predicted. According to the learning result, the operation parameters and conditions of the water treatment device are automatically adjusted to optimize the treatment effect and reduce the influence on the environment.
S3, pre-alarming;
s31: and judging whether the water quality reaches a preset standard or whether the running state of the reverse osmosis membrane is normal or not according to the data analysis result. This may be achieved by a preset threshold comparison or machine learning algorithm.
S32: if abnormal conditions occur, early warning prompt is carried out to inform related personnel to take corresponding checking or maintenance measures. The early warning may be prompted by an audible alarm, a light indication, or other visual means. The early warning system should be ensured to be reliable and timely so that relevant personnel can respond timely and take corresponding measures.
S33: when the system predicts potential problems or faults, measures are taken in advance to intervene and repair, so that the system is prevented from being damaged more. This may involve adjustments to the water treatment process, replacement of parts, or scheduling maintenance. It should be ensured that these measures are effective in solving the problem and preventing the situation from further worsening.
S34: continuously monitoring water quality data and evaluating the effectiveness of the early warning so as to discover new anomalies or verify whether the measures taken are effective in time. And by analyzing the early warning result, the early warning system is continuously optimized, the water treatment strategy is adjusted, and the monitoring accuracy and efficiency are improved. This is a continuously improved process that helps to increase the stability and reliability of the water treatment device.
By analyzing parameters such as flow, pressure, conductivity, pH value and the like of the inflow water and the outflow water of the reverse osmosis membrane, indexes such as filtration effect, desalination rate, water yield and the like of the reverse osmosis membrane can be evaluated, so that whether the effect of wastewater treatment meets the expected requirement or not is judged; analyzing chemical components and microorganism indexes of the inflow water and the outflow water of the reverse osmosis membrane, and knowing the removal condition of pollutants and bacteria in the wastewater treatment process, thereby evaluating the effect and safety of wastewater treatment; by analyzing the abrasion and pollution conditions of the reverse osmosis membrane, corresponding measures can be found and adopted in time for cleaning, replacement or maintenance, so that the stability and reliability of wastewater treatment are ensured.
The above examples of the present invention are provided for clarity of illustration only and are not intended to limit the embodiments of the present invention, and other variations or modifications may be made by those skilled in the art based on the above description, and it is intended that the obvious variations or modifications falling within the spirit of the present invention remain within the scope of the present invention.
Claims (7)
1. The utility model provides a water treatment facilities, includes water inlet system, filtration system and play water system, its characterized in that: the water inlet system is provided with a filter and a back flushing pipeline, the filtering system is formed by connecting two groups of reverse osmosis membranes, the water outlet system and the filtering system are provided with flushing pipelines for flushing the water outlet system and the filtering system, and the water inlet system, the filtering system and the water outlet system are provided with various detection instruments for detecting data before and after filtering the wastewater.
2. A water treatment device according to claim 1, wherein: the two groups of reverse osmosis membranes are divided into a first reverse osmosis membrane and a second reverse osmosis membrane, and an outlet pipeline of the first reverse osmosis membrane is communicated with an inlet pipeline of the second reverse osmosis membrane through a second pump and a valve.
3. A water treatment device according to claim 2, wherein: the water inlet pipelines of the first reverse osmosis membrane and the second reverse osmosis membrane are respectively provided with a second port and a fourth port, and the water outlet pipelines of the first reverse osmosis membrane and the second reverse osmosis membrane are respectively provided with a third port and a fifth port.
4. A water treatment monitoring method is characterized in that: the method comprises the following steps: data acquisition, data analysis and pre-alarm, wherein the data acquisition is realized by the following steps of
S11, selecting proper sensors and detection equipment according to the characteristics and monitoring requirements of the water treatment device, and installing and debugging the water treatment device at proper positions;
s12, setting a time interval and a frequency of data acquisition;
s13, storing the acquired data in a data storage device;
and S14, continuously calibrating and maintaining the sensor and the detection equipment.
5. A water treatment monitoring method according to claim 4, wherein: the data analysis processing is realized by the following steps
S21, cleaning and arranging the acquired data;
s22, comparing and analyzing the data by using a preset standard value or a reference value;
s23, performing data analysis processing through a computer program of the control system;
and S24, generating a corresponding data report or chart according to the analysis result.
6. A water treatment monitoring method according to claim 5, wherein: the data analysis processing further comprises S25 of automatically learning and analyzing the water quality data by utilizing a machine learning algorithm such as a neural network.
7. A water treatment monitoring method according to claim 4, wherein: the pre-alarm is achieved by the following steps
S31, judging whether the water quality reaches a preset standard or whether the running state of the reverse osmosis membrane is normal or not according to the data analysis result;
s32, if abnormal conditions occur, early warning prompt is carried out;
s33, when the system predicts a potential problem or fault, taking measures in advance to intervene and repair;
and S34, continuously monitoring water quality data and evaluating the effectiveness of early warning.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311494293.9A CN117263321A (en) | 2023-11-10 | 2023-11-10 | Water treatment device and monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311494293.9A CN117263321A (en) | 2023-11-10 | 2023-11-10 | Water treatment device and monitoring method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117263321A true CN117263321A (en) | 2023-12-22 |
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| CN202311494293.9A Pending CN117263321A (en) | 2023-11-10 | 2023-11-10 | Water treatment device and monitoring method |
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| CN (1) | CN117263321A (en) |
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2023
- 2023-11-10 CN CN202311494293.9A patent/CN117263321A/en active Pending
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