CN115105964B - Method for improving membrane performance based on fault diagnosis expert system - Google Patents
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- 239000012528 membrane Substances 0.000 title claims abstract description 68
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000003745 diagnosis Methods 0.000 title claims abstract description 24
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 55
- 238000004140 cleaning Methods 0.000 claims abstract description 30
- 238000001223 reverse osmosis Methods 0.000 claims abstract description 19
- 238000012544 monitoring process Methods 0.000 claims abstract description 12
- 238000007781 pre-processing Methods 0.000 claims abstract description 6
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 15
- 229910052760 oxygen Inorganic materials 0.000 claims description 15
- 239000001301 oxygen Substances 0.000 claims description 15
- KRKNYBCHXYNGOX-UHFFFAOYSA-N citric acid Chemical compound OC(=O)CC(O)(C(O)=O)CC(O)=O KRKNYBCHXYNGOX-UHFFFAOYSA-N 0.000 claims description 12
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 230000007423 decrease Effects 0.000 claims description 7
- 238000004519 manufacturing process Methods 0.000 claims description 6
- 230000000813 microbial effect Effects 0.000 claims description 6
- 230000001590 oxidative effect Effects 0.000 claims description 6
- 238000011109 contamination Methods 0.000 claims description 5
- 238000010612 desalination reaction Methods 0.000 claims description 5
- KCXVZYZYPLLWCC-UHFFFAOYSA-N EDTA Chemical compound OC(=O)CN(CC(O)=O)CCN(CC(O)=O)CC(O)=O KCXVZYZYPLLWCC-UHFFFAOYSA-N 0.000 claims description 4
- 230000000844 anti-bacterial effect Effects 0.000 claims description 4
- 239000003899 bactericide agent Substances 0.000 claims description 4
- 239000000084 colloidal system Substances 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 235000019832 sodium triphosphate Nutrition 0.000 claims description 4
- 230000001954 sterilising effect Effects 0.000 claims description 3
- 238000004220 aggregation Methods 0.000 claims description 2
- 230000002776 aggregation Effects 0.000 claims description 2
- 238000012216 screening Methods 0.000 claims description 2
- 238000004659 sterilization and disinfection Methods 0.000 claims description 2
- -1 flow Substances 0.000 claims 1
- 230000008569 process Effects 0.000 abstract description 10
- 239000000243 solution Substances 0.000 description 17
- HEMHJVSKTPXQMS-UHFFFAOYSA-M Sodium hydroxide Chemical compound [OH-].[Na+] HEMHJVSKTPXQMS-UHFFFAOYSA-M 0.000 description 6
- 239000012895 dilution Substances 0.000 description 4
- 238000010790 dilution Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 241000894006 Bacteria Species 0.000 description 2
- VEXZGXHMUGYJMC-UHFFFAOYSA-N Hydrochloric acid Chemical compound Cl VEXZGXHMUGYJMC-UHFFFAOYSA-N 0.000 description 2
- QAOWNCQODCNURD-UHFFFAOYSA-N Sulfuric acid Chemical compound OS(O)(=O)=O QAOWNCQODCNURD-UHFFFAOYSA-N 0.000 description 2
- 239000002253 acid Substances 0.000 description 2
- 239000003929 acidic solution Substances 0.000 description 2
- 230000009471 action Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 2
- 239000012670 alkaline solution Substances 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 239000007864 aqueous solution Substances 0.000 description 2
- 229960001484 edetic acid Drugs 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000005406 washing Methods 0.000 description 2
- 229910004298 SiO 2 Inorganic materials 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000004931 aggregating effect Effects 0.000 description 1
- 239000003513 alkali Substances 0.000 description 1
- 238000003556 assay Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
- 244000005700 microbiome Species 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000005416 organic matter Substances 0.000 description 1
- 230000003204 osmotic effect Effects 0.000 description 1
- 239000012466 permeate Substances 0.000 description 1
- 239000000047 product Substances 0.000 description 1
- 239000008213 purified water Substances 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 239000010865 sewage Substances 0.000 description 1
- 239000010802 sludge Substances 0.000 description 1
- 239000002904 solvent Substances 0.000 description 1
- 239000003206 sterilizing agent Substances 0.000 description 1
Classifications
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
- Y02A20/124—Water desalination
- Y02A20/131—Reverse-osmosis
Abstract
The invention discloses a method for improving membrane performance based on a fault diagnosis expert system, which relates to the technical field of reverse osmosis membranes and comprises the following steps: judging whether the current index data accords with a preset optimal working condition threshold value or not, preprocessing and adjusting the marked index data so that the current marked index data is restored to the preset optimal working condition threshold value; monitoring whether the pressure difference and the water yield accord with the normal value range, determining whether the current membrane performance is normal, acquiring the fault of the root node and determining the cause of the fault; based on the obtained failure cause, a cleaning solution is determined and recommended to the user. The invention can analyze and diagnose mass data generated in reverse osmosis process timely and effectively, find problems in time and provide solutions, reduce dependence on manpower, reduce fault risk, avoid membrane pollution or slow down membrane pollution speed, and greatly reduce operation cost.
Description
Technical Field
The invention relates to the technical field of reverse osmosis membranes, in particular to a method for improving membrane performance based on a fault diagnosis expert system.
Background
The reverse osmosis membrane is an artificial semipermeable membrane which is made of a simulated biological semipermeable membrane and has certain characteristics, and is a core component of the reverse osmosis technology. The reverse osmosis technology principle is that under the action of the osmotic pressure higher than that of the solution, the solute and the solvent in the solution are separated by means of the selective interception action of a reverse osmosis membrane which only allows water molecules to permeate, so that the effect of purified water is achieved. The reverse osmosis technology has wide application in sewage treatment due to the characteristics of good water quality, low energy consumption, no pollution and the like. The reverse osmosis membrane element is a product which is easy to wear and has high price, if the reverse osmosis membrane element is improperly used, the membrane pollution speed can be accelerated, the membrane element is damaged in a short time, and the frequency of membrane cleaning and replacement is increased, so that the running cost is increased. Therefore, how to diagnose the membrane performance in time during the use process of the membrane and make proper protection measures according to the membrane performance is important to avoid the membrane from being polluted or slow down the membrane pollution.
Currently, the prior art mainly has the following disadvantages:
1) The current percolate treatment control system mainly controls on-site production by relying on experience of on-site personnel, and the main process is to check system data, discover abnormal conditions according to experience and judge a treatment method according to specific abnormal data. The complex diagnosis experience is often mastered in a few specialists, and the experience cannot be duplicated and shared, so that the experience of an individual can play the maximum value. Personal experience also often has limitations and uncertainties that may lead to unnecessary production accidents due to human error.
2) Along with the rapid development of the internet of things in recent years, the acquisition and storage methods of industrial data are greatly improved, the data volume is greatly increased, and the traditional method for evaluating and monitoring the membrane performance in real time by means of expert experience cannot meet the service requirements in terms of accuracy and speed.
3) The reverse osmosis treatment process has a plurality of uncertainty factors, meanwhile, the data in the treatment process show characteristics such as nonlinearity, time variability and the like, and no universal and clear model can make inductive judgment on the performance and faults of the reverse osmosis membrane.
For the problems in the related art, no effective solution has been proposed at present.
Disclosure of Invention
Aiming at the problems in the related art, the invention provides a method for improving the membrane performance based on a fault diagnosis expert system, so as to overcome the technical problems in the prior art.
The technical scheme of the invention is realized as follows:
a method for improving membrane performance based on a fault diagnosis expert system, comprising the steps of:
step S1, initial data of reverse osmosis treatment is obtained in advance in real time;
s2, processing the acquired initial data;
step S3, screening the processed initial data to obtain data affecting the membrane performance, and monitoring the data as index data;
s4, judging whether the current index data accords with a preset optimal working condition threshold value or not, wherein the current index data is a preset optimal working condition threshold value;
if the current index data accords with the preset optimal working condition threshold, continuing to monitor;
if the current index data does not accord with the preset optimal working condition threshold value, marking the current index data;
s5, preprocessing and adjusting the marked index data to enable the currently marked index data to be restored to a preset optimal working condition threshold;
step S7, monitoring whether the pressure difference and the water yield accord with the normal value range or not based on the fact that the current index data accord with a preset optimal working condition threshold value, and determining whether the current membrane performance is normal or not, wherein the pressure difference and the water yield accord with the normal value range or not;
if the current pressure difference and the water yield accord with the normal value range, determining that the current membrane performance is normal, and continuing to monitor;
if the current pressure difference and the water yield do not accord with the normal value range, determining that the current membrane performance is abnormal;
step S8, when the current membrane performance is abnormal, acquiring the fault of the root node and determining the fault reason;
and S9, determining a cleaning scheme based on the acquired fault reasons and recommending the cleaning scheme to a user.
Wherein the initial data includes: equipment status, pH, temperature, dissolved oxygen, flow, COD, differential pressure, TBC, TOC;
the processing of the acquired initial data comprises the following steps:
and performing cleaning treatment and aggregation treatment on the acquired initial data.
Wherein the index data includes: pH, temperature, dissolved oxygen, TBC and TOC.
The preset optimal working condition threshold comprises the following steps:
presetting the pH value of the inlet water to be 5-6 as an optimal working condition threshold value;
the preset temperature is 25-35 ℃ and is the optimal working condition threshold;
presetting dissolved oxygen less than 5mg/L as an optimal working condition threshold;
presetting a TBC less than 100cfu/mL as an optimal working condition threshold;
presetting TOC < 2mg/L as the optimal working condition threshold value.
Wherein, the pretreatment adjustment comprises the following steps:
if the current pH value and the temperature exceed the optimal working condition threshold, preprocessing and adjusting the pH value and the temperature of the inlet water;
if the current dissolved oxygen is more than 5mg/L, the water temperature is increased and the water inflow is increased in pretreatment;
if the current TBC is more than 100cfu/mL, adding an oxidizing bactericide and a non-oxidizing bactericide for alternate sterilization;
if the TOC is more than 2mg/L, adding activated carbon to adsorb organic matters.
Wherein, whether the monitoring pressure difference and the water yield accord with normal value range includes: the current water yield is reduced by more than 10%, and the pressure difference is increased by 10% compared with the pressure difference value of 24-48 hours, so that the membrane is judged to be polluted.
The method comprises the following steps of:
if the condition that the water yield gradually decreases is met, the pressure difference gradually increases, and when the desalination rate is monitored to obviously decrease by more than 10%, the scale pollution is diagnosed;
if the condition that the water yield gradually decreases and the pressure difference gradually increases is met, and the SDI is detected to be more than 5, colloid pollution is diagnosed;
if the condition that the water yield gradually decreases and the pressure difference gradually increases is met, and when the TBC is more than 100, the microbial pollution is diagnosed;
if the water yield is gradually reduced, the pressure difference is gradually increased, and when TOC > 2 is detected, the organic pollution is diagnosed.
Wherein the cleaning protocol comprises the steps of;
if the current scale is polluted, cleaning by using a 2% citric acid solution;
if colloidal, microbial or organic contamination is present, an alkaline wash with 2% sodium tripolyphosphate and 0.8% edta is performed.
The invention has the beneficial effects that:
the method for improving the membrane performance based on the fault diagnosis expert system monitors whether the pressure difference and the water yield accord with the range of normal values or not by conforming to the preset optimal working condition threshold based on the current index data, determines whether the current membrane performance is normal or not, acquires the fault of a root node and determines the fault reason when the current membrane performance is abnormal, determines a cleaning scheme and recommends the cleaning scheme to a user, realizes timely and effective analysis and diagnosis on mass data generated in the reverse osmosis treatment process, timely discovers problems and provides a solution, reduces the dependence on manpower, reduces the fault risk, simultaneously avoids the membrane from being polluted or slows down the membrane from being polluted, greatly reduces the operation cost, and can help the professional knowledge in the factory storage field to avoid the influence of personnel loss on the production.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for improving membrane performance based on a fault diagnosis expert system in accordance with an embodiment of the present invention;
fig. 2 is a schematic diagram of a fault-based diagnostic expert system for improving membrane performance based on the fault-based diagnostic expert system in accordance with an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which are derived by a person skilled in the art based on the embodiments of the invention, fall within the scope of protection of the invention.
According to an embodiment of the present invention, a method for improving membrane performance based on a fault diagnosis expert system is provided.
As shown in fig. 1, a method for improving membrane performance based on a fault diagnosis expert system according to an embodiment of the present invention includes the steps of:
step S1, various initial data in the reverse osmosis treatment process are obtained in real time, wherein the method comprises the following steps: PLC (Programmable Logic Controller ) data and assay data, such as: equipment status, pH, temperature, dissolved oxygen, flow, COD (Chemical Oxygen Demand ), differential pressure, etc.;
and S2, cleaning and aggregating the acquired initial data, wherein the steps include removing dirty data and useless data, structuring the cleaned data and then transmitting the structured data into the next flow.
Step S3, monitoring indexes affecting the membrane performance, wherein the indexes comprise: pH, temperature, dissolved oxygen, TBC (Total Bacteria Count, total bacteria), TOC (Total Organic Carbon ). Wherein, pH value, temperature, dissolved oxygen and TOC can be obtained in real time through PLC report, and TBC adopts national standard common plate counting method to calculate regularly.
And S4, if any one or more of the current indexes does not reach the optimal working condition, the reverse osmosis membrane is polluted at present, and finally the membrane performance is reduced, so that the production is influenced.
The technical scheme, the optimal working condition, specifically, the following:
the pH value of the inlet water is kept between 5 and 6 to be optimal. The temperature is controlled to be between 25 and 35 ℃ optimally, and the temperature and the pH value are controlled to SiO 2 The solubility effect is large, and if the threshold value is exceeded, scaling pollution is easy to generate. When the dissolved oxygen content in water is less than 5mg/L, the best working condition is that the dissolved oxygen is more than 5mg/L, fe in water 2+ Will be converted into Fe 3+ Insoluble colloidal substances are formed, causing colloidal contamination. In addition, the TBC exceeding causes microbial contamination, and the TBC is the best working condition when less than 100 cfu/mL. The TOC exceeding can cause organic pollutionThe best working condition is that TOC is less than 2 mg/L.
In addition, it should be noted that the threshold values of the above-mentioned various indexes can be manually adjusted.
According to the technical scheme, when all indexes reach the optimal working condition, data are continuously monitored; if any index is found to not reach the optimal working condition, the corresponding index is marked, and the next flow is started.
And S5, acquiring an index which does not reach the optimal working condition currently, and recommending a proper solution to restore the optimal working condition. The method comprises the following steps:
when the pH value and the temperature exceed the threshold value, the pH value and the temperature of the inlet water are required to be regulated through pretreatment, so that the pH value and the temperature of the inlet water are recovered to normal values;
when the dissolved oxygen is more than 5mg/L, the water temperature is increased and the water inflow is increased for adjustment in the pretreatment link;
wherein when TBC > 100cfu/mL, alternately sterilizing by using an oxidizing and a non-oxidizing sterilizing agent;
wherein, when TOC is more than 2mg/L, the organic matters are adsorbed by adding activated carbon.
And S6, based on the adjustment control scheme for recovering the optimal working condition generated in the step S4 and the step S5, the system issues instructions to the PLC to which each factor belongs, and the intelligent control of each device is carried out to carry out response adjustment control scheme.
And S7, after the control is executed, judging whether the membrane performance is normal or not by monitoring the pressure difference and the water yield.
According to the technical scheme, the pressure difference and the water yield can be obtained in real time through the report of the PLC. When the pressure difference and the water yield are both in the normal value range, returning to the step S3 for continuous monitoring; if the index abnormality is detected, namely the water yield is reduced by more than 10% after the standardization is met, and the differential pressure is increased by 10% compared with the differential pressure value of 24-48 hours, the membrane is judged to be polluted, the next flow is started, and a fault diagnosis expert system is operated to obtain the fault reason.
Step S8, as shown in fig. 2, of obtaining a failure cause based on the failure diagnosis expert system, including the steps of:
step S801, the failure phenomenon of the root node is obtained in advance, namely, the water yield is reduced by 10 percent and the pressure difference is increased by 10 percent in step S7,
step S802, based on the root node, whether each rule is met or not is calculated, if the water yield is gradually reduced, the pressure difference is gradually increased, and the fault reason is obtained. The specific rules are as follows:
if the water yield is gradually reduced, the pressure difference is gradually increased, and when the desalination rate is monitored to be obviously reduced by more than 10%, the scale pollution is diagnosed; if the water yield is gradually reduced, the pressure difference is gradually increased, and the SDI (Silt Density Index, sludge density index) is more than 5, colloid pollution is diagnosed; if the water yield is gradually reduced, the pressure difference is gradually increased, and when the TBC is detected to be more than 100, the microbial pollution is diagnosed; if the water yield is gradually reduced, the pressure difference is gradually increased, and when TOC > 2 is detected, the organic pollution is diagnosed.
In addition, the above rules can be calculated synchronously, and if the two or more conditions are satisfied, it can be diagnosed that the membrane is polluted by various kinds.
In addition, according to the technical scheme, SDI and TOC can be automatically monitored and reported in real time through a PLC, and the desalination rate and TBC are automatically calculated. The calculation formula is as follows:
desalination rate = [ (total amount of dissolved solids in water TDS (Total dissolved solids) -TDS in produced water)/TDS in water ] = 100%;
TBC＝ΣC/(n 1 +0.1n 2 )d；
wherein ΣC is the sum of the colony numbers of the plates, n 1 For colony count on first suitable dilution plate, n 2 For the number of colonies on the second suitable dilution plate, d is the dilution factor (first dilution).
Step S9, as shown in FIG. 2, based on the failure cause obtained in step S8, a cleaning scheme is obtained and recommended to the user.
The technical scheme is as follows:
the scale pollution is cleaned by adopting an acid cleaning scheme through a 2% citric acid solution (the pH value is adjusted to 4 by sodium hydroxide), wherein the citric acid solution is a preferential cleaning solution, and can be replaced by other acidic solutions, such as hydrochloric acid aqueous solution, and the pH value of any cleaning solution is ensured not to be lower than 4 when other acidic solutions are replaced.
In addition, colloid pollution, microorganism pollution and organic matter pollution are all performed by adopting an alkaline washing scheme, and alkaline washing is performed by 2% sodium tripolyphosphate and 0.8% EDTA (Ethylene Diamine TetraaceticAcid ) (the pH value is adjusted to 10 by sulfuric acid). Wherein, the sodium tripolyphosphate solution is a preferential cleaning solution, and can be replaced by other alkaline solutions, such as NaOH aqueous solution, and when other alkaline solutions are replaced, the pH value of any cleaning solution is ensured not to be higher than 10.
In addition, according to the technical scheme, when various pollution is diagnosed, a combined cleaning scheme of acid cleaning and alkali cleaning is adopted for cleaning.
Step S10, based on the cleaning schemes generated in the step S8 and the step S9, the system issues instructions to the PLC to which each factor belongs, and the cleaning program is automatically executed. The water temperature is monitored in real time in the cleaning process and is not more than 35 ℃, the pH value of the cleaning liquid is controlled between 2 and 12, and once the index is found to be exceeded, the program is automatically adjusted to ensure that the cleaning condition is optimal. If the system monitors that the water temperature or the cleaning liquid exceeds the threshold for more than 1 minute, an alarm is sent to related personnel for manual intervention.
In addition, after the cleaning program is executed, the technical scheme returns to the step S2 to continuously monitor various indexes, so that the whole process is always kept in a monitoring state, and intelligent control is realized.
In summary, by means of the above technical solution of the present invention, the following effects can be achieved:
1) The invention can avoid the membrane from being polluted or slow down the speed of the membrane polluted by forming the membrane performance on-line diagnosis expert system, thereby greatly reducing the operation cost.
2) According to the invention, through the related expertise and solution strategies of the reverse osmosis membrane for a long time, such as analysis of reasons of membrane pollution, time prejudgment of membrane cleaning and the like, the related knowledge is mastered by a few old people with abundant experience, and long time learning and accumulation are required, so that the method can help the expertise in the factory storage field and avoid the influence of personnel loss on production.
3) The invention timely and effectively analyzes and diagnoses the mass data generated in the reverse osmosis treatment process, discovers problems in time and provides a solution, reduces the dependence on manpower and reduces the fault risk.
The foregoing is merely a preferred embodiment of the present invention and is not intended to limit the present invention, and other embodiments of the present disclosure will be readily apparent to those skilled in the art after considering the disclosure herein in the specification and examples. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (9)
1. A method for improving membrane performance based on a fault diagnosis expert system, comprising the steps of:
acquiring initial data of reverse osmosis treatment in real time in advance;
processing the acquired initial data;
screening the processed initial data to obtain data affecting the membrane performance as index data for monitoring;
judging whether the current index data accords with a preset optimal working condition threshold value or not, wherein the current index data is a preset optimal working condition threshold value;
if the current index data accords with the preset optimal working condition threshold, continuing to monitor;
if the current index data does not accord with the preset optimal working condition threshold value, marking the current index data;
preprocessing and adjusting the marked index data to enable the currently marked index data to be restored to a preset optimal working condition threshold;
based on whether the current index data accords with a preset optimal working condition threshold, monitoring whether the pressure difference and the water yield accord with a normal value range or not, and determining whether the current membrane performance is normal or not, wherein the pressure difference and the water yield accord with the normal value range or not;
if the current pressure difference and the water yield accord with the normal value range, determining that the current membrane performance is normal, and continuing to monitor;
if the current pressure difference and the water yield do not accord with the normal value range, determining that the current membrane performance is abnormal;
when the performance of the current film is abnormal, acquiring a fault of a root node and determining a fault reason;
based on the obtained failure cause, a cleaning solution is determined and recommended to the user.
2. The method for improving membrane performance based on a fault diagnosis expert system according to claim 1, wherein the initial data comprises: equipment status, pH, temperature, dissolved oxygen, flow, COD, differential pressure, TBC and TOC.
3. The method for improving membrane performance based on a fault diagnosis expert system according to claim 2, wherein the processing of the acquired initial data comprises the steps of:
and performing cleaning treatment and aggregation treatment on the acquired initial data.
4. A method for improving membrane performance based on a fault diagnosis expert system according to claim 3, wherein the index data comprises: pH, temperature, dissolved oxygen, TBC and TOC.
5. A method for improving membrane performance based on a fault diagnosis expert system according to claim 1 or 3, wherein the preset optimal operating condition threshold comprises the steps of:
presetting the pH value of the inlet water to be 5-6 as an optimal working condition threshold value;
the preset temperature is 25-35 ℃ and is the optimal working condition threshold;
presetting dissolved oxygen less than 5mg/L as an optimal working condition threshold;
presetting a TBC less than 100cfu/mL as an optimal working condition threshold;
presetting TOC < 2mg/L as the optimal working condition threshold value.
6. The method for improving membrane performance based on a fault diagnosis expert system according to claim 5, wherein the preprocessing adjustment comprises the steps of:
if the current pH value and the temperature exceed the optimal working condition threshold, preprocessing and adjusting the pH value and the temperature of the inlet water;
if the current dissolved oxygen is more than 5mg/L, the water temperature is increased and the water inflow is increased in pretreatment;
if the current TBC is more than 100cfu/mL, adding an oxidizing bactericide and a non-oxidizing bactericide for alternate sterilization;
if the TOC is more than 2mg/L, adding activated carbon to adsorb organic matters.
7. The method for improving membrane performance based on a fault diagnosis expert system according to claim 1, wherein monitoring whether the differential pressure and the water production meet a normal value range comprises: the current water yield is reduced by more than 10%, and the pressure difference is increased by 10% compared with the pressure difference value of 24-48 hours, so that the membrane is judged to be polluted.
8. The method for improving membrane performance based on the fault diagnosis expert system according to claim 7, wherein the acquiring the fault of the root node and determining the cause of the fault comprises the steps of:
if the condition that the water yield gradually decreases is met, the pressure difference gradually increases, and the monitored desalination rate decreases by more than 10%, the scale pollution is diagnosed;
if the condition that the water yield gradually decreases and the pressure difference gradually increases is met, and the SDI is detected to be more than 5, colloid pollution is diagnosed;
if the condition that the water yield is gradually reduced and the pressure difference is gradually increased is met, and when the TBC is more than 100cfu/mL, diagnosing the microbial contamination;
if the water yield is gradually reduced and the pressure difference is gradually increased, and when TOC is detected to be more than 2mg/L, the organic pollution is diagnosed.
9. The method for improving membrane performance based on a fault diagnosis expert system according to claim 8, wherein the cleaning scheme comprises the steps of;
if the current scale is polluted, cleaning by using a 2% citric acid solution;
if colloidal, microbial or organic contamination is present, an alkaline wash with 2% sodium tripolyphosphate and 0.8% edta is performed.
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