CN102681498A - Sewage treatment process optimizing operation method - Google Patents
Sewage treatment process optimizing operation method Download PDFInfo
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- CN102681498A CN102681498A CN2011100624317A CN201110062431A CN102681498A CN 102681498 A CN102681498 A CN 102681498A CN 2011100624317 A CN2011100624317 A CN 2011100624317A CN 201110062431 A CN201110062431 A CN 201110062431A CN 102681498 A CN102681498 A CN 102681498A
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- 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
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
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- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention relates to a sewage treatment process optimizing operation method. The method comprises the following steps of: establishing a sewage treatment process model and predicating outlet water quality of a sewage treatment system so as to obtain an outlet water quality predicated value of the sewage treatment system; establishing a dynamic optimizing control system; establishing an industrial poisonous water diagnosis and response system so as to produce an alarm for invasive industrial poisonous water; establishing a sewage treatment process remote monitoring and diagnosis system so as to transmit local real-time monitoring data of a sewage treatment plant to enterprise managers and upstream authorities for making decisions; establishing a testing laboratory management system so as to test and measure the water quality and industrial parameters in the sewage treatment process and then analyze various testing laboratory measurement data; and introducing the various testing laboratory measurement data into the dynamic optimizing control system so as to correct set values of sludge concentration and dissolved oxygen concentration. According to the invention, the automatic control level of the sewage treatment plant is enhanced, the energy conservation and consumption reduction in the sewage treatment process are achieved, the safety of sewage treatment is improved and the human resource cost of the sewage treatment is reduced.
Description
Technical field
The present invention relates to a kind of sewage disposal technology, a kind of specifically sewage disposal process Optimum Operating Method.
Background technology
China is being faced with water resources crisis, and the waste water control task is urgent and arduous.Wastewater treatment in China factory operation conditions is not good at present, and energy consumption is too high to be the important bottleneck of restriction sewage treatment industry development.According to Tsing-Hua University's Environmental Science and Engineering is the statistical study of Institute Of Systems Analysis to 559 urban wastewater treatment firms of China status of energy consumption in 2006; The ton water power consumption of China municipal sewage plant is about 0.29 kilowatt hour at present; 2 times of ton water power consumption that are about the developed country municipal sewage plant; And operational management personnel number is its several times, has caused wastewater treatment operating cost too high.
From the present situation of sewage treatment plant, with quite external, by external a complete set of the introduction, gap is mainly reflected in process control and optimum management aspect to equipment mostly aspect technological design in present domestic sewage treatment plant.
In recent years, the basic theory and the treatment process of wastewater treatment are increasingly mature, but sewage disposal process optimal control technology still falls behind.The controlling level of current wastewater treatment in China factory is lower, uses simple PID control or manually control mostly, does not almost have the application of optimal control method.On the other hand, the management level of wastewater treatment in China factory are lower, influenced the operational efficiency of sewage disposal system to a certain extent, increased the unnecessary energy and waste of manpower resource, thereby increased cost of sewage disposal.
Summary of the invention
To above-mentioned weak points such as the sewage disposal process energy that exists in the prior art and cost of human resources height, the technical matters that the present invention will solve provides a kind of sewage disposal process Optimum Operating Method that improves running efficiency of system, reduces cost of sewage disposal.
For solving the problems of the technologies described above, the technical scheme that the present invention adopts is:
Sewage disposal process Optimum Operating Method of the present invention may further comprise the steps:
Set up the sewage disposal process model, enterprising capable sewage disposal system effluent quality prediction obtains sewage disposal system effluent quality predicted value on above-mentioned sewage disposal process model basis;
According to sewage disposal system effluent quality predicted value, through the circulating analog of sewage disposal process is set up the optimal control in dynamic system;
Set up industrial malicious water diagnosis and answering system, give the alarm, make counter-measure invading industrial malicious water;
Set up sewage disposal process remote monitoring and diagnostic system, the real-time monitor data that sewage treatment plant is local is sent to company manager and higher authority, and company manager and higher authority make a policy according to above-mentioned information;
Set up the laboratory management system, the water quality and the technological parameter of sewage disposal process are chemically examined measurement, record in the management system of laboratory, analyze all kinds of laboratories measurement data;
Above-mentioned all kinds of laboratories measurement data is introduced the optimal control in dynamic system, the setting value of sludge concentration and dissolved oxygen concentration is revised.
The process of setting up of said sewage disposal process model is: component and course of reaction to the ASM1 model are simplified; Component is only considered the contributive component of COD; Course of reaction is only considered the carbon removal process in the ASM1 model, sets up the model that is fit to describe common plug-flow type active sludge method carbon removal process.
Enterprising capable sewage disposal system effluent quality is predicted as on sewage disposal process model basis:
On the basis of the detection data statistic analysis of sewage treatment plant's field instrument, utilize soft-measuring technique to realize the conversion between COD, solid suspension substrate concentration water-quality guideline and model components concentration to the sewage disposal process model;
According to the Arrhenius formula parameter of sewage disposal process model is proofreaied and correct;
With the parameter input sewage disposal process model after proofreading and correct, the simulated sewage processing procedure obtains sewage disposal system effluent quality predicted value.
The said process of setting up the optimal control in dynamic system is:
With sewage disposal system effluent quality predicted value as value of feedback; In conjunction with the sewage disposal system operating conditions; Set up close loop control circuit of dissolved oxygen concentration setting value and the close loop control circuit of sludge concentration setting value, obtain dissolved oxygen concentration setting value and sludge concentration setting value;
Set up dissolved oxygen concentration close loop control circuit and sludge concentration close loop control circuit, follow the variation of dissolved oxygen concentration setting value and sludge concentration setting value.
The malicious water diagnosis of said industry with the process of setting up of answering system is:
Set up the Expert Rules storehouse in conjunction with industrial malicious water characteristic;
Data in entry COD and PH signal data, aeration tank dissolved oxygen data and the Expert Rules storehouse are compared, and when the data in above-mentioned data and the Expert Rules storehouse were complementary, thinking had industrial malicious water intrusion;
Start counter-measure.
Said counter-measure is: reduce system's entry water yield; Strengthen the mud capacity of returns.
Said laboratory management system comprises unusual service condition processing unit, Data Management Unit and optimal control unit, and wherein: the unusual service condition processing unit comprises unusual service condition record, unusual service condition warning; Data Management Unit comprises the inquiry of historical data and data recording; The optimal control unit comprises processing parameter setting correction and instrumented data correction.
Said setting value to sludge concentration and dissolved oxygen concentration is modified to: confirm effective sludge concentration and sludge activity according to laboratory analysis data ash content and microbial respiratory rate; Dynamically adjust the sludge concentration setting value according to effective sludge concentration, dynamically adjust the dissolved oxygen concentration setting value according to sludge activity.
Said Expert Rules is: according to the instrument measurement data is getting in touch between entry COD and PH signal data, aeration tank dissolved oxygen data and the industrial malicious water intrusion, has promptly judged whether industrial malicious water intrusion through the instrument measurement data analysis to current working.
The present invention has following beneficial effect and advantage:
1. the present invention has improved the automatic control level of sewage treatment plant through the optimal control in dynamic system, realizes the energy-saving and cost-reducing of sewage disposal process.
2. reduce the occurrence frequency of industrial malicious water intrusion and the loss that brings through the malicious water diagnosis of industry with answering system, thereby improved the security of wastewater treatment.
3. improve the efficiency of management through remote monitoring and diagnostic system and laboratory management, reduced the cost of human resources of wastewater treatment.
Description of drawings
Fig. 1 is the inventive method system structure of application;
Fig. 2 is based on active sludge simplified model process flow diagram in the sewage disposal process of the present invention;
Fig. 3 is a sewage disposal process dynamically optimized control method schematic diagram of the present invention;
Industrial malicious water diagnosis and countermeasure schematic diagram that Fig. 4 uses for the inventive method;
Remote monitoring and diagnostic system framework that Fig. 5 uses for the inventive method;
Fig. 6 is the inventive method laboratory management system functional block diagram.
Embodiment
Sewage disposal process Optimum Operating Method system structure of application of the present invention is as shown in Figure 1; Comprise control system and management system; Wherein control system comprises sewage disposal process model, optimal control in dynamic system and industrial malicious water diagnosis and answering system three parts, and management system comprises remote monitoring and diagnostic system and laboratory management system.
The step of the inventive method is following:
Set up the sewage disposal process model, enterprising capable sewage disposal system effluent quality prediction obtains sewage disposal system effluent quality predicted value on above-mentioned sewage disposal process model basis;
According to sewage disposal system effluent quality predicted value, through the circulating analog of sewage disposal process is set up the optimal control in dynamic system;
Set up industrial malicious water diagnosis and answering system, give the alarm, make counter-measure invading industrial malicious water;
Set up sewage disposal process remote monitoring and diagnostic system, the real-time monitor data that sewage treatment plant is local is sent to company manager and higher authority, and company manager and higher authority make a policy according to above-mentioned information;
Set up the laboratory management system, the water quality and the technological parameter of sewage disposal process are chemically examined measurement, record in the management system of laboratory, analyze all kinds of laboratories measurement data;
Above-mentioned all kinds of laboratories measurement data is introduced the optimal control in dynamic system, the setting value of sludge concentration and dissolved oxygen concentration is revised.
The process of setting up of said sewage disposal process model is: component and course of reaction to the ASM1 model are simplified; Component is only considered the contributive component of COD; Course of reaction is only considered the carbon removal process in the ASM1 model, sets up the model that is fit to describe common plug-flow type active sludge method carbon removal process.
Sewage disposal process is a large time delay process; Hydraulic detention time is tens hours; Therefore current effluent quality index can only reflect the system operation situation before tens hours; Can not reflect the ruuning situation that system is current, the present invention proposes the active sludge simplified model based on the international water mathematical model ASM1 of association for this reason, and the model system framework is as shown in Figure 2.Model system comprises input, calculates, exports and estimates four partial contents, and wherein the importation comprises kinetic parameter, stoichiometry parameter, reactor parameter, second pond parameter, controlled variable and entry water quality data; Calculating section is the core of model system, comprises based on the reactor biochemical process of active sludge simplified model describing and describing based on the second pond processing procedure of solid model flux; The system effluent quality predicted data of output for obtaining through input and calculating section; Evaluation portion is used to set up the performance evaluation index, assesses current technological parameter and the system performance under the controlled variable, comprises performances such as system energy consumption, effluent quality.Based on this model prediction system effluent quality, for optimal control provides foundation.
Enterprising capable sewage disposal system effluent quality is predicted as on sewage disposal process model basis:
On the basis of the detection data statistic analysis of sewage treatment plant's field instrument, utilize soft-measuring technique to realize the conversion between COD, solid suspension substrate concentration water-quality guideline and model components concentration to the sewage disposal process model;
According to Arrhenius formula (μ (t)=u (T) e
θ (t-T)) parameter of sewage disposal process model is proofreaied and correct;
With the parameter input sewage disposal process model after proofreading and correct, the simulated sewage processing procedure obtains sewage disposal system effluent quality predicted value.
The said process of setting up the optimal control in dynamic system is:
With sewage disposal system effluent quality predicted value as value of feedback; In conjunction with the sewage disposal system operating conditions; Set up close loop control circuit of dissolved oxygen concentration setting value and the close loop control circuit of sludge concentration setting value, obtain dissolved oxygen concentration setting value and sludge concentration setting value;
Set up dissolved oxygen concentration close loop control circuit and sludge concentration close loop control circuit, follow the variation of dissolved oxygen concentration setting value and sludge concentration setting value.
Sewage disposal process is the biochemical process of a complicacy, and the optimal control difficulty is very big, and the present invention proposes the optimal control in dynamic system; Its method principle is as shown in Figure 3; Input entry water quality information, based on sewage disposal process model real-time estimate effluent quality index, with model predication value as feedback; Pass through circulating analog; The simulated operation setup parameter provides foundation for biochemical process controller provides operating and setting parameter (like dissolved oxygen DO DO and sludge concentration MLSS etc.), realizes the optimal control of sewage disposal process.Through effluent quality index prediction value and calculated with actual values predicated error, the sewage disposal process model is constantly revised simultaneously, to improve the accuracy of model through predicated error.For guaranteeing that effluent quality index prediction value and actual value are the water-quality guideline of same water outlet, need to consider residence time delay, the effluent quality index prediction value before the residence time is corresponding same effluent quality index with the effluent quality actual value of current time.
The malicious water diagnosis of said industry with the process of setting up of answering system is:
Set up the Expert Rules storehouse in conjunction with industrial malicious water characteristic;
Data in entry COD and PH signal data, aeration tank dissolved oxygen data and the Expert Rules storehouse are compared, and when the data in above-mentioned data and the Expert Rules storehouse were complementary, thinking had the malicious water intrusion of worker's 7 industries, starts counter-measure.Otherwise when the data in above-mentioned data and the Expert Rules storehouse did not match, thinking did not have industrial malicious water intrusion, need not start counter-measure.
The malicious water of industry is incited somebody to action not up to standard owing to indivedual enterprises even is not directly discharged formation through pretreated industrial sewage, is grave danger of sewage biochemical treatment system.According to the malicious water characteristic of industry; In conjunction with instrument measurement data and expertise; The present invention proposes industrial malicious water diagnostic system, system architecture is as shown in Figure 4, and entry chemical oxygen demand COD, acidity-basicity ph value signal and aeration tank dissolved oxygen DO signal are sent to the decentralised control station; Be sent in the expert system through OPC; Signal Processing through expert system is transferred to decentralised control station with process information through OPC through OPC, assigns operating instruction for the frequency converter of entry lift pump and sludge reflux pump through control station.This system can give the alarm to invading industrial malicious water in advance, in time makes counter-measure, reduces industrial malicious water intrusion harm.
For reducing the maintenance of sewage treatment plant; Management and operation cost, the particularly large-scale company of some how tame sewage treatment plants of operation, the inventive method has comprised sewage treatment plant's remote monitoring and diagnostic system; As shown in Figure 5; The real-time monitor data that sewage treatment plant's local scene instrument to collect is arrived to the WEB network, makes company manager and higher authority supervisory departments such as () Environmental Protection Agencys can understand at any time through the Internet net and produce and the operation situation through standard Http protocol issuance; Pinpoint the problems and in time to adjust, improved the efficiency of management.
In order to break away from the restriction of conventional artificial record data typing form to work of cement labouratory, the inventive method has comprised the laboratory management system.As shown in Figure 6; This system comprises unusual service condition processing unit, Data Management Unit and optimal control unit three parts; Wherein the unusual service condition processing unit is for realizing the warning and the record of unusual service condition through the laboratory analysis data; Data Management Unit comprises data analysis, historical data wiping news and three functions of data recording, and the optimal control unit is introduced control system writing down and analyzing on the basis of all kinds of laboratories measurement data with off-line analysis data (like ash content, sludge volume index); Participate in the optimal control of technological process on the one hand, analysis data can also be proofreaied and correct the instrument measurement data on the other hand.This system also has functions such as unusual service condition record, warning, data analysis, inquiry in addition.
Said setting value to sludge concentration and dissolved oxygen concentration is modified to: confirm effective sludge concentration and sludge activity according to laboratory analysis data ash content and microbial respiratory rate; Dynamically adjust the sludge concentration setting value according to effective sludge concentration, dynamically adjust the dissolved oxygen concentration setting value according to sludge activity.
For reducing the sewage disposal process energy and cost of human resources; Improve running efficiency of system; The present invention proposes sewage disposal process and optimize operational system, propose technical solutions, after Liaoning sewage treatment plant uses, obtain ideal effect from controlling and manage two aspects.
Use back enterprise control and management level and be improved, guaranteeing that water treatment energy consumption per ton reduces under the stable water outlet prerequisite up to standard, headcount is reduced to 22 people by 30 people, has practiced thrift human resources, creates profit year above 1,100,000 yuan.
Claims (9)
1. sewage disposal process Optimum Operating Method is characterized in that may further comprise the steps:
Set up the sewage disposal process model, enterprising capable sewage disposal system effluent quality prediction obtains sewage disposal system effluent quality predicted value on above-mentioned sewage disposal process model basis;
According to sewage disposal system effluent quality predicted value, through the circulating analog of sewage disposal process is set up the optimal control in dynamic system;
Set up industrial malicious water diagnosis and answering system, give the alarm, make counter-measure invading industrial malicious water;
Set up sewage disposal process remote monitoring and diagnostic system, the real-time monitor data that sewage treatment plant is local is sent to company manager and higher authority, and company manager and higher authority make a policy according to above-mentioned information;
Set up the laboratory management system, the water quality and the technological parameter of sewage disposal process are chemically examined measurement, record in the management system of laboratory, analyze all kinds of laboratories measurement data;
Above-mentioned all kinds of laboratories measurement data is introduced the optimal control in dynamic system, the setting value of sludge concentration and dissolved oxygen concentration is revised.
2. by the described sewage disposal process Optimum Operating Method of claim 1; It is characterized in that: the process of setting up of said sewage disposal process model is: component and course of reaction to the ASM1 model are simplified; Component is only considered the contributive component of COD; Course of reaction is only considered the carbon removal process in the ASM1 model, sets up the model that is fit to describe common plug-flow type active sludge method carbon removal process.
3. by the described sewage disposal process Optimum Operating Method of claim 1, it is characterized in that: enterprising capable sewage disposal system effluent quality is predicted as on sewage disposal process model basis:
On the basis of the detection data statistic analysis of sewage treatment plant's field instrument, utilize soft-measuring technique to realize the conversion between COD, solid suspension substrate concentration water-quality guideline and model components concentration to the sewage disposal process model;
According to the Arrhenius formula parameter of sewage disposal process model is proofreaied and correct;
With the parameter input sewage disposal process model after proofreading and correct, the simulated sewage processing procedure obtains sewage disposal system effluent quality predicted value.
4. by the described sewage disposal process Optimum Operating Method of claim 1, it is characterized in that: the said process of setting up the optimal control in dynamic system is:
With sewage disposal system effluent quality predicted value as value of feedback; In conjunction with the sewage disposal system operating conditions; Set up close loop control circuit of dissolved oxygen concentration setting value and the close loop control circuit of sludge concentration setting value, obtain dissolved oxygen concentration setting value and sludge concentration setting value;
Set up dissolved oxygen concentration close loop control circuit and sludge concentration close loop control circuit, follow the variation of dissolved oxygen concentration setting value and sludge concentration setting value.
5. by the described sewage disposal process Optimum Operating Method of claim 1, it is characterized in that: the malicious water diagnosis of said industry with the process of setting up of answering system is:
Set up the Expert Rules storehouse in conjunction with industrial malicious water characteristic;
Data in entry COD and PH signal data, aeration tank dissolved oxygen data and the Expert Rules storehouse are compared, and when the data in above-mentioned data and the Expert Rules storehouse were complementary, thinking had industrial malicious water intrusion;
Start counter-measure.
6. by the described sewage disposal process Optimum Operating Method of claim 1, it is characterized in that: said counter-measure is: reduce system's entry water yield; Strengthen the mud capacity of returns.
7. by the described sewage disposal process Optimum Operating Method of claim 1; It is characterized in that: said laboratory management system comprises unusual service condition processing unit, Data Management Unit and optimal control unit, and wherein: the unusual service condition processing unit comprises unusual service condition record, unusual service condition warning; Data Management Unit comprises the inquiry of historical data and data recording; The optimal control unit comprises processing parameter setting correction and instrumented data correction.
8. by the described sewage disposal process Optimum Operating Method of claim 1; It is characterized in that: said setting value to sludge concentration and dissolved oxygen concentration is modified to: confirm effective sludge concentration and sludge activity according to laboratory analysis data ash content and microbial respiratory rate; Dynamically adjust the sludge concentration setting value according to effective sludge concentration, dynamically adjust the dissolved oxygen concentration setting value according to sludge activity.
9. by malicious water diagnosis of the said industry of claim 5 and answering system; It is characterized in that: said Expert Rules is: according to the instrument measurement data is getting in touch between entry COD and PH signal data, aeration tank dissolved oxygen data and the industrial malicious water intrusion, has promptly judged whether industrial malicious water intrusion through the instrument measurement data analysis to current working.
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| CN103809557A (en) * | 2013-12-30 | 2014-05-21 | 北京工业大学 | Neural network based sewage disposal process optimal control method |
| CN104787875A (en) * | 2015-04-14 | 2015-07-22 | 北京金控自动化技术有限公司 | Aeration control method and system adopting sequencing batch reactor activated sludge process |
| CN107949814A (en) * | 2016-04-18 | 2018-04-20 | 胜科工业有限公司 | System and method for waste water treatment process control |
| CN108830927A (en) * | 2018-06-27 | 2018-11-16 | 北京博鑫精陶环保科技有限公司 | A kind of adjustment method and apparatus of sewage treatment |
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| CN115684529A (en) * | 2022-11-04 | 2023-02-03 | 湖北碧尔维环境科技有限公司 | Sewage decontamination optimization method and device based on feedback adjustment |
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| CN102930019B (en) * | 2012-11-02 | 2016-08-03 | 沈阳建筑大学 | A kind of aerator selection method and sample database |
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| CN103809557A (en) * | 2013-12-30 | 2014-05-21 | 北京工业大学 | Neural network based sewage disposal process optimal control method |
| CN103809557B (en) * | 2013-12-30 | 2016-08-17 | 北京工业大学 | A kind of sewage disposal process optimal control method based on neutral net |
| CN104787875A (en) * | 2015-04-14 | 2015-07-22 | 北京金控自动化技术有限公司 | Aeration control method and system adopting sequencing batch reactor activated sludge process |
| CN107949814A (en) * | 2016-04-18 | 2018-04-20 | 胜科工业有限公司 | System and method for waste water treatment process control |
| CN109507957B (en) * | 2017-09-15 | 2022-04-01 | 进金生实业股份有限公司 | Cloud intelligent power-saving system for water treatment industry |
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| CN108830927A (en) * | 2018-06-27 | 2018-11-16 | 北京博鑫精陶环保科技有限公司 | A kind of adjustment method and apparatus of sewage treatment |
| CN111796560A (en) * | 2019-04-02 | 2020-10-20 | 横河电机株式会社 | Plant operation support system and plant operation support method |
| CN110673566A (en) * | 2019-10-23 | 2020-01-10 | 上海交通大学 | Multilayer intelligent supervision system and operation method of sewage mixing and collecting pipe network |
| CN111708339A (en) * | 2020-06-22 | 2020-09-25 | 科盛环保科技股份有限公司 | Artificial intelligence control system and method for sewage plant and application of artificial intelligence control system |
| CN113033917A (en) * | 2021-04-19 | 2021-06-25 | 重庆工商大学 | Sewage treatment plant prediction planning operation management method based on peripheral data |
| CN113033917B (en) * | 2021-04-19 | 2022-04-12 | 重庆工商大学 | Sewage treatment plant prediction planning operation management method based on peripheral data |
| CN115684529A (en) * | 2022-11-04 | 2023-02-03 | 湖北碧尔维环境科技有限公司 | Sewage decontamination optimization method and device based on feedback adjustment |
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| CN102681498B (en) | 2014-03-12 |
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