CN113591317B - Control method for accurate mud discharging model of water plant reaction sedimentation tank - Google Patents
Control method for accurate mud discharging model of water plant reaction sedimentation tank Download PDFInfo
- Publication number
- CN113591317B CN113591317B CN202110900644.6A CN202110900644A CN113591317B CN 113591317 B CN113591317 B CN 113591317B CN 202110900644 A CN202110900644 A CN 202110900644A CN 113591317 B CN113591317 B CN 113591317B
- Authority
- CN
- China
- Prior art keywords
- mud
- sludge discharge
- amount
- mud discharging
- sedimentation tank
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 85
- 238000007599 discharging Methods 0.000 title claims abstract description 74
- 238000004062 sedimentation Methods 0.000 title claims abstract description 65
- 238000006243 chemical reaction Methods 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 title claims abstract description 23
- 239000010802 sludge Substances 0.000 claims abstract description 95
- 238000009826 distribution Methods 0.000 claims abstract description 28
- 238000011217 control strategy Methods 0.000 claims abstract description 9
- 238000004519 manufacturing process Methods 0.000 claims abstract description 8
- 238000007405 data analysis Methods 0.000 claims abstract description 6
- 230000007246 mechanism Effects 0.000 claims abstract description 5
- 239000003814 drug Substances 0.000 claims description 3
- 229940079593 drug Drugs 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 claims description 3
- 239000013049 sediment Substances 0.000 claims description 3
- 238000005096 rolling process Methods 0.000 claims 1
- 239000002699 waste material Substances 0.000 abstract description 3
- 238000009412 basement excavation Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000010865 sewage Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000007306 turnover Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/22—Yield analysis or yield optimisation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Activated Sludge Processes (AREA)
Abstract
The invention discloses a control method for an accurate mud discharging model of a reaction sedimentation tank of a water plant, which belongs to the technical field of water treatment and comprises the following specific steps: (1) building a mud discharging model; (2) linearizing a mud discharging model; (3) defining a mud amount sedimentation distribution proportion; (4) defining a sludge discharge strategy parameter; (5) calculating the current mud amount in real time; (6) automatic matching of mud discharging strategies; (7) issuing a control strategy instruction; (8) operational feedback of the sludge discharge facility executing mechanism; (9) estimating the amount of the discharged mud water; according to the invention, the sludge discharge amount of the reaction sedimentation tank of the water plant is modeled through historical data analysis and excavation, the real-time sludge amount of the reaction sedimentation tank of the water plant is predicted, the sludge discharge strategy is selected according to the self-learning of the sludge amount, the sludge discharge strategy is updated to carry out accurate sludge discharge, the sludge discharge amount is effectively controlled, the water waste caused by invalid sludge discharge is reduced, the production cost of the water plant is reduced, and meanwhile, the running risks such as excessive water quality of a sludge bucket and a sedimentation tank caused by insufficient sludge discharge can be avoided.
Description
Technical Field
The invention relates to the technical field of water treatment, in particular to a control method for an accurate mud discharging model of a reaction sedimentation tank of a water plant.
Background
Through retrieval, chinese patent number CN107837574A discloses a sludge discharge method of a sludge discharge system of a sedimentation tank, and the invention focuses on the optimized design of a sludge discharge pipe of the sedimentation tank to realize reduction of sludge discharge dead zones, and has good sludge discharge effect, so that the sludge accumulation at the bottom of the sedimentation tank can be effectively prevented, but the sludge quantity generated by the sedimentation tank cannot be accurately predicted, and excessive sludge discharge or insufficient sludge discharge can be easily caused; the chemical adding sedimentation tank in a water works or a sewage plant is easy to generate a large amount of sludge, and if the sludge is not discharged timely, the sedimentation tank is easy to turn over, so that the water quality of the discharged water is seriously influenced; if the sludge is discharged too frequently or the sludge discharge time is too long, the water content of the sludge is increased, the difficulty of subsequent treatment is increased, the self-water consumption of a sedimentation tank is increased, and water resources are seriously wasted; at present, a water plant sludge discharge system does not have a set of method for accurately calculating and predicting the sludge amount generated by a sedimentation tank and a control strategy for accurately discharging sludge by a reaction sedimentation tank sludge discharge valve and a sludge discharge crane, wherein a fixed period and a fixed sludge discharge time length are mainly adopted for controlling the sludge discharge of the reaction sedimentation tank, on one hand, excessive sludge discharge causes the increase of sludge amount and corresponding cost, on the other hand, insufficient sludge discharge causes the water quality risk of high turbidity of the water discharged by the sedimentation tank and the occurrence of sludge accumulation and hardening of a sludge discharge hopper; therefore, it becomes important to invent a control method for the accurate mud discharging model of the reaction sedimentation tank of the water plant;
the existing water plant sludge discharge system mainly adopts a fixed period and a fixed sludge discharge time length to control the bottom sludge discharge of a reaction sedimentation tank, can not accurately predict the sludge quantity generated by the sedimentation tank, and is easy to cause excessive sludge discharge or insufficient sludge discharge, so that the water quantity is easy to cause waste, the corresponding cost is increased, and the water quality of the effluent of the sedimentation tank is easy to influence; therefore, we propose a kind of water works reaction sedimentation tank accurate mud discharging model control method.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a control method for an accurate sludge discharge model of a reaction sedimentation tank of a water plant.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
a control method for an accurate mud discharging model of a reaction sedimentation tank of a water plant comprises the following specific steps:
(1) Building a mud discharging model: calculating the mud yield of the reaction sedimentation tank according to historical data of a water plant, and establishing a mud discharging model through mud yield probability distribution;
(2) Linearizing a mud discharging model: carrying out linearization classification and sludge discharge strategy definition on the sludge discharge model in the step (1) according to probability distribution, and defining a plurality of linear sludge discharge strategies according to probability distribution;
(3) Defining a mud amount sedimentation distribution ratio: determining the distribution proportion of the mud quantity in the reaction tank and the sedimentation tank by measuring the data analysis of the water quality of the inlet water and the water quality of the outlet water of the reaction tank, and determining the space distribution of the mud quantity in the sedimentation tank by measuring the sediment distribution of the sedimentation tank;
(4) Defining mud discharging strategy parameters: defining accurate operation parameters of a mud discharging valve and a mud sucking traveling crane of each mud discharging strategy according to the mud discharging amount of the reaction sedimentation tank and the physical parameters of the reaction sedimentation tank;
(5) Calculating the current mud amount in real time: calculating the current actual mud amount according to the current water amount, the dosing amount and the water quality;
(6) Automatic matching of mud discharging strategies: automatically determining a mud discharging strategy according to the current actual mud amount in the step (5), and outputting a mud discharging control parameter instruction;
(7) And (3) issuing a control strategy instruction: the mud discharging control parameter instruction in the step (6) is sent to a PLC;
(8) Operational feedback of the sludge discharge facility executing mechanism: confirming a mud discharging control parameter instruction according to the running state feedback of the mud discharging valve and the mud sucking travelling crane, and executing the mud discharging control parameter instruction;
(9) Estimating the sludge discharge amount: according to the execution condition of the sludge discharge control parameter instruction, calculating the sludge discharge amount through the sludge discharge parameter and carrying out on-line sludge discharge efficiency evaluation.
Further, the historical data in the step (1) is rolled for one year or more in year interval, so that the model self-learning update is realized, and the model self-learning update comprises but is not limited to water quality data, water quantity data and dosing data.
Further, the mud discharging model in the step (1) has the following expression form:
S(t)＝a(c*f(u,x)+d*f(w,y))v (1)
wherein: a represents a water yield coefficient; v represents the volume of water, c represents the water quality influencing factor; d represents a drug amount influencing factor; f (u, x) represents a water quality conversion function; f (w, y) represents a dosing amount conversion function; s represents the mud production amount in each period.
Further, the probability distribution in step (2) is formulated as follows:
wherein: p is the occurrence probability of mud; a is that i Is a sludge discharge event per unit time.
Further, the precise operation parameters of the mud valve and the mud suction vehicle in the step (4) include, but are not limited to, a valve mud discharge period, a valve mud discharge time, a vehicle traveling distance and a vehicle traveling frequency.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the control method for the accurate mud discharging model of the reaction sedimentation tank of the water plant, the mud discharging amount of the reaction sedimentation tank of the water plant is modeled through historical data analysis and excavation, the real-time mud discharging amount of the reaction sedimentation tank of the water plant is predicted, a mud discharging strategy is selected according to mud amount self-learning, the mud discharging strategy is updated to accurately discharge mud, the mud discharging amount is effectively controlled, the water waste caused by invalid mud discharging is reduced, the production cost of the water plant is reduced, meanwhile, running risks such as mud hoppers and excessive water quality of the sedimentation tank caused by insufficient mud discharging can be avoided, and the running safety and stability of key process sections of the water plant are improved;
2. compared with the traditional method for controlling the sludge discharge of the reaction sedimentation tank, the method for controlling the accurate sludge discharge model of the reaction sedimentation tank of the water plant can reduce the sludge discharge amount by 30% -50% and the water consumption; the actual sludge discharge amount is calculated and predicted dynamically and accurately and is coupled with a control strategy, so that the operation condition of the sludge discharge facility can be controlled accurately, the problem that the operation condition of the sludge discharge facility is not matched with the actual sludge discharge amount in manual control or traditional program control is solved, the control accuracy is improved, and the reliability and stability of the water quality of the effluent of the sedimentation tank are ensured;
3. according to the control method for the accurate mud discharging model of the reaction sedimentation tank in the water plant, the control of the mud discharging process of the reaction sedimentation tank is changed from manual control or manual parameter adjustment control into automatic and dynamic control according to the mud amount, so that the frequency and the workload of manual participation are reduced, unattended operation is realized, and the labor cost and the working strength are reduced; in addition, the invention can accurately calculate the sludge discharge amount through the sludge discharge parameters, and can be used for analyzing the sludge discharge efficiency and evaluating the sludge discharge effect and the production water rate in real time.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention.
FIG. 1 is a general flow chart of a control method for an accurate sludge discharge model of a reaction sedimentation tank of a water plant;
FIG. 2 is a schematic diagram of daily mud production distribution of a mud discharging model;
FIG. 3 is a schematic diagram of sludge discharge model linearization-probability distribution classification;
FIG. 4 is a schematic diagram of a sedimentation tank for measuring and sampling the mud quantity distribution.
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.
In the description of the present invention, it should be understood that the terms "upper," "lower," "front," "rear," "left," "right," "top," "bottom," "inner," "outer," and the like indicate or are based on the orientation or positional relationship shown in the drawings, merely to facilitate description of the present invention and to simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Referring to fig. 1-4, the embodiment discloses a control method for an accurate mud discharging model of a reaction sedimentation tank of a water plant, which comprises the following specific steps:
firstly, building a mud discharging model: calculating the mud yield of the reaction sedimentation tank according to the historical data of the water plant, and establishing a mud discharging model through the mud yield probability distribution (shown in figure 2); specifically, the historical data is dynamically rolled for one year or more at year intervals, so that model self-learning updating is realized, and the model self-learning updating comprises but is not limited to water quality data, water quantity data and dosing data; the mud discharging model can accurately quantify the mud yield of an unknown sedimentation tank.
And then linearizing the mud discharging model: the mud discharging model is subjected to linearization classification and mud discharging strategy definition according to probability distribution, and a plurality of linearities are defined according to probability distributionA mud drainage strategy (as shown in fig. 3); specifically, the sludge discharge model linearization is a key step for solving a sludge discharge control strategy, and can convert a nonlinear model into a linear model to control a sludge discharge executing mechanism (a sludge discharge valve and a sludge suction crane), so that the operability of actual production is greatly improved; the probability distribution is formulated as:wherein: p is the occurrence probability of mud; a is that i Is a sludge discharge event per unit time.
Then defining the sedimentation distribution proportion of the mud amount: determining the distribution proportion of the mud quantity in the reaction tank and the sedimentation tank by measuring the data analysis of the water quality of the inlet water and the water quality of the outlet water of the reaction tank, and determining the space distribution of the mud quantity in the sedimentation tank by measuring the sediment distribution of the flat sedimentation tank; specifically, defining the mud amount distribution proportion is to control the accurate configuration of the total mud amount to the reaction tank and the sedimentation tank, and is a precondition step for improving the accurate control of mud discharge.
Then defining sludge discharge strategy parameters: defining accurate operation parameters of a mud discharging valve and a mud sucking traveling crane of each mud discharging strategy according to the mud discharging amount of the reaction sedimentation tank and the physical parameters of the reaction sedimentation tank; in particular, the precise operating parameters of the mud valve and the mud suction vehicle include, but are not limited to, valve mud discharge period, valve mud discharge time, vehicle travel distance and vehicle travel frequency.
Then calculating the current mud amount in real time: calculating the current actual mud amount according to the current water amount, the dosing amount and the water quality;
then the mud discharging strategy is automatically matched: automatically determining a mud discharging strategy according to the current actual mud quantity, and outputting a mud discharging control parameter instruction; specifically, the step is a key step of coupling the actual mud amount with the control strategy, and ensures that different mud amounts are optimally matched with the control strategy.
Then the control strategy instruction is issued: the mud discharging control parameter instruction is sent to the PLC; and then the operation feedback of the execution mechanism of the mud discharging facility is as follows: confirming a mud discharging control parameter instruction according to the running state feedback of the mud discharging valve and the mud sucking travelling crane, and executing the mud discharging control parameter instruction;
finally, estimating the sludge discharge amount: according to the execution condition of the sludge discharge control parameter instruction, calculating the sludge discharge amount through the sludge discharge parameter and carrying out on-line sludge discharge efficiency evaluation.
The example data analysis is specifically as follows:
referring to fig. 1, the present embodiment will specifically describe a mud discharging model except for the same structure as the above embodiment; specifically, the expression form of the mud discharging model is as follows:
S(t)＝a(c(*fu,x)+d*f(w,y))v
wherein: a represents a water yield coefficient; v represents the volume of water, c represents the water quality influencing factor; d represents a drug amount influencing factor; f (u, x) represents a water quality conversion function; f (w, y) represents a dosing amount conversion function; s represents the mud production amount in each period.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (5)
1. A control method for an accurate sludge discharge model of a reaction sedimentation tank of a water plant is characterized by comprising the following specific steps:
(1) Building a mud discharging model: calculating the mud yield of the reaction sedimentation tank according to historical data of a water plant, and establishing a mud discharging model through mud yield probability distribution;
(2) Linearizing a mud discharging model: carrying out linearization classification and sludge discharge strategy definition on the sludge discharge model in the step (1) according to probability distribution, and defining a plurality of linear sludge discharge strategies according to probability distribution;
(3) Defining a mud amount sedimentation distribution ratio: determining the distribution proportion of the mud quantity in the reaction tank and the sedimentation tank by measuring the data analysis of the water quality of the inlet water and the water quality of the outlet water of the reaction tank, and determining the space distribution of the mud quantity in the sedimentation tank by measuring the sediment distribution of the sedimentation tank;
(4) Defining mud discharging strategy parameters: defining accurate operation parameters of a mud discharging valve and a mud sucking traveling crane of each mud discharging strategy according to the mud discharging amount of the reaction sedimentation tank and the physical parameters of the reaction sedimentation tank;
(5) Calculating the current mud amount in real time: calculating the current actual mud amount according to the current water amount, the dosing amount and the water quality;
(6) Automatic matching of mud discharging strategies: automatically determining a mud discharging strategy according to the current actual mud amount in the step (5), and outputting a mud discharging control parameter instruction;
(7) And (3) issuing a control strategy instruction: the mud discharging control parameter instruction in the step (6) is sent to a PLC;
(8) Operational feedback of the sludge discharge facility executing mechanism: confirming a mud discharging control parameter instruction according to the running state feedback of the mud discharging valve and the mud sucking travelling crane, and executing the mud discharging control parameter instruction;
(9) Estimating the sludge discharge amount: according to the execution condition of the sludge discharge control parameter instruction, calculating the sludge discharge amount through the sludge discharge parameter and carrying out on-line sludge discharge efficiency evaluation.
2. The method for controlling the accurate sludge discharge model of the reaction sedimentation tank of the water plant according to claim 1, wherein the historical data in the step (1) is obtained by rolling for one year or more at a year interval, and the model self-learning update is realized, which comprises but is not limited to water quality data, water quantity data and dosing data.
3. The method for controlling an accurate sludge discharge model of a reaction sedimentation tank of a water plant according to claim 1, wherein the sludge discharge model in the step (1) is expressed in the following formula:
S(t)＝a(c*f(u，x)+d*f(w，y))v (1)
wherein: a represents a water yield coefficient; v represents the volume of water, c represents the water quality influencing factor; d represents a drug amount influencing factor; f (u, x) represents a water quality conversion function; f (w, y) represents a dosing amount conversion function; s represents the mud production amount in each period.
4. The method for controlling an accurate sludge discharge model of a reaction sedimentation tank of a water plant according to claim 1, wherein the probability distribution in the step (2) is expressed as follows:
wherein: p is the occurrence probability of mud; a is that i Is a sludge discharge event per unit time.
5. The method according to claim 1, wherein the accurate operation parameters of the mud discharging valve and the mud sucking vehicle in the step (4) include, but are not limited to, a valve mud discharging period, a valve mud discharging time, a vehicle traveling distance and a vehicle traveling frequency.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110900644.6A CN113591317B (en) | 2021-08-06 | 2021-08-06 | Control method for accurate mud discharging model of water plant reaction sedimentation tank |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110900644.6A CN113591317B (en) | 2021-08-06 | 2021-08-06 | Control method for accurate mud discharging model of water plant reaction sedimentation tank |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113591317A CN113591317A (en) | 2021-11-02 |
| CN113591317B true CN113591317B (en) | 2023-12-29 |
Family
ID=78255802
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110900644.6A Active CN113591317B (en) | 2021-08-06 | 2021-08-06 | Control method for accurate mud discharging model of water plant reaction sedimentation tank |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113591317B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115936269A (en) * | 2023-03-14 | 2023-04-07 | 北京埃睿迪硬科技有限公司 | Method, device and equipment for predicting sludge discharge amount |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003062406A (en) * | 2001-08-28 | 2003-03-04 | Fuji Electric Co Ltd | Sludge-discharge controlling method for sludge in sedimentation pond of water-purifying process |
| CN103605859A (en) * | 2013-11-28 | 2014-02-26 | 浙江工业大学 | Optimum design method for secondary sedimentation tank of sewage treatment work |
| KR101914285B1 (en) * | 2018-05-15 | 2018-11-01 | 주식회사 코비 | Integrated measurement and control system for water treatment plant |
| CN110833710A (en) * | 2019-10-25 | 2020-02-25 | 上海水业设计工程有限公司 | Control system and control method for sludge discharge of sedimentation tank |
-
2021
- 2021-08-06 CN CN202110900644.6A patent/CN113591317B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003062406A (en) * | 2001-08-28 | 2003-03-04 | Fuji Electric Co Ltd | Sludge-discharge controlling method for sludge in sedimentation pond of water-purifying process |
| CN103605859A (en) * | 2013-11-28 | 2014-02-26 | 浙江工业大学 | Optimum design method for secondary sedimentation tank of sewage treatment work |
| KR101914285B1 (en) * | 2018-05-15 | 2018-11-01 | 주식회사 코비 | Integrated measurement and control system for water treatment plant |
| CN110833710A (en) * | 2019-10-25 | 2020-02-25 | 上海水业设计工程有限公司 | Control system and control method for sludge discharge of sedimentation tank |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113591317A (en) | 2021-11-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101786721B (en) | Random process predicting method for outlet water organic substance concentration of municipal sewage treatment plant | |
| CN113591317B (en) | Control method for accurate mud discharging model of water plant reaction sedimentation tank | |
| CN101807045B (en) | Data-based urban sewage pumping station system modeling method | |
| CN113502896B (en) | Double-gate mixed-flow rainwater storage and interception device, system and method based on water quality monitoring | |
| CN107368623A (en) | A kind of pool volume of regulating and storing based on runoff pollution control determines method | |
| CN111943292B (en) | Method, device and system for treating high-load sewage by coupling storage tank | |
| CN206069627U (en) | A kind of sewage treatment plant's water quality monitoring system and sewage treatment plant | |
| CN105439285B (en) | A kind of regulation method of sewage treatment | |
| CN103810309B (en) | A based on bounding theory2the soft-measuring modeling method of O urban sewage treatment process | |
| CN113902172A (en) | Sewage treatment method, system, device and medium | |
| CN112215504B (en) | Gate-controlled heavy pollution small-river-basin pollutant flux observation method | |
| CN109814510A (en) | Sewage treatment elevator pump optimal dispatch control method based on forecasting of water inflow | |
| Carstensen et al. | Prediction of hydraulic load for urban storm control of a municipal WWT plant | |
| CN106200381B (en) | A method of according to the operation of processing water control by stages water factory | |
| CN110119900A (en) | A kind of black and odorous water removing method based on Urban watershed Ecology bearing capacity | |
| CN112939209A (en) | Sewage treatment aeration control system based on artificial neural network and operation method thereof | |
| CN114706293A (en) | Coal slime water intelligent dosing control method based on GRU-Attention and self-adaptive fuzzy PID | |
| CN204359766U (en) | A kind of mud nitrification activity intelligent analysis system | |
| CN114380379A (en) | Chemical adding control method and system for slime water | |
| CN101301538A (en) | Fuzzy intelligent control system for casting water processing medicament | |
| US11208339B2 (en) | Treatment of wastewater | |
| JP2003245653A (en) | Operation supporting method for treatment system, operation supporting method for water treatment system and equipment therefor | |
| CN117215343A (en) | Intelligent sulfuric acid adding control method for industrial circulating water | |
| CN115504557B (en) | Automatic mud discharging method applied to sedimentation tank | |
| CN111747561A (en) | Automatic control system for water quality of high-level water collecting cooling tower of thermal power plant |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |