CN117699967A - Intelligent aeration system based on biological membrane MBBR technology and control method - Google Patents
Intelligent aeration system based on biological membrane MBBR technology and control method Download PDFInfo
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- CN117699967A CN117699967A CN202311822896.7A CN202311822896A CN117699967A CN 117699967 A CN117699967 A CN 117699967A CN 202311822896 A CN202311822896 A CN 202311822896A CN 117699967 A CN117699967 A CN 117699967A
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- AHEWZZJEDQVLOP-UHFFFAOYSA-N monobromobimane Chemical compound BrCC1=C(C)C(=O)N2N1C(C)=C(C)C2=O AHEWZZJEDQVLOP-UHFFFAOYSA-N 0.000 title claims abstract description 126
- 239000012528 membrane Substances 0.000 title claims abstract description 79
- 238000000034 method Methods 0.000 title claims abstract description 65
- 238000005273 aeration Methods 0.000 title claims abstract description 58
- 238000005516 engineering process Methods 0.000 title claims abstract description 11
- 239000007789 gas Substances 0.000 claims abstract description 104
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 95
- 239000001301 oxygen Substances 0.000 claims abstract description 95
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 95
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 61
- 238000012544 monitoring process Methods 0.000 claims abstract description 7
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims description 38
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 claims description 18
- 230000001105 regulatory effect Effects 0.000 claims description 16
- 229910021529 ammonia Inorganic materials 0.000 claims description 9
- 238000013459 approach Methods 0.000 claims description 6
- 238000001514 detection method Methods 0.000 claims description 6
- 238000013178 mathematical model Methods 0.000 claims description 6
- 239000000725 suspension Substances 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 238000013135 deep learning Methods 0.000 claims description 3
- 230000001276 controlling effect Effects 0.000 claims 3
- 239000010865 sewage Substances 0.000 abstract description 9
- 230000000694 effects Effects 0.000 abstract description 5
- 239000010802 sludge Substances 0.000 description 11
- 238000005192 partition Methods 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 2
- 239000002131 composite material Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
Classifications
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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
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W10/00—Technologies for wastewater treatment
- Y02W10/10—Biological treatment of water, waste water, or sewage
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- Separation Using Semi-Permeable Membranes (AREA)
Abstract
The invention discloses an intelligent aeration system based on a biological membrane MBBR technology and a control method, and relates to the technical field of sewage treatment. The system comprises two groups of pure membrane MBBR systems, a blast aeration system, an on-line instrument monitoring system, an upper computer and a field PLC control system. The control method adjusts the gas flow of the main air supply pipeline by the average value of the dissolved oxygen values of the two groups of pure membrane MBBR systems, and adjusts the gas flow of the branch pipeline by comparing the dissolved oxygen values of the two groups of pure membrane MBBR systems. According to the invention, aeration control is carried out by taking two groups of pure membrane MBBR systems as a whole, so that the implementation difficulty is low, and the sewage treatment effect is good. The method can solve the problem of uneven gas distribution caused by different water distribution amounts of different aerobic tanks, perforation aeration operation difference and the like in the prior art. In addition, the system of the invention does not need to install a large number of meters and valves with high price, thereby reducing the hardware investment of the sewage plant and improving the economic benefit of the sewage plant.
Description
Technical Field
The invention relates to the technical field of sewage treatment, in particular to an intelligent aeration system based on a biological membrane MBBR technology and a control method.
Background
There are only two kinds of sewage biochemical technology in the world, the biomembrane method is an older technology with higher biochemical efficiency than the activated sludge method, the origin of which can be traced to the 90 th year of the 19 th century, and the activated sludge is invented later in the beginning of the 20 th century. The activated sludge process is the stage with more light rings for a long period of time. Common biomembrane methods such as a biological aerated filter, a biological rotating disc and the like in China have quite certain market achievements, and are multipurpose in high-difficulty working conditions, advanced treatment or relatively small-scale demand scenes. In the second level center layout, only MBBR gets a considerable share.
MBBR has two main application forms: the sludge film can be classified into a composite IFAS (Integrated Fixed-film Activated Sludge) and can be regarded as biological film modification of an activated sludge process: the membrane-hanging carrier is kept in the reaction tank to form a composite system of the coexistence of the activated sludge and the biological membrane, so that the membrane-hanging carrier can be widely applied to the upgrading and reconstruction of municipal sewage plants; secondly, the pure film belongs to novel application in China, and is currently used in extremely-used places and slightly-polluted water scenes. The pure membrane MBBR has more extreme efficiency, and has higher requirements on a control system, in particular an aeration system.
In the aspect of aeration control at present, the model adopted in the activated sludge process mostly depends on an international water cooperation ASM model, but no mature reference model exists for the MBBR technology of the biofilm process; secondly, the activated sludge process generally adopts a partition control concept for aeration control, for example, an aerobic zone is divided into three sections, namely front, middle and rear sections for independent control, but the MBBR process has shorter residence time which is one third to one half of that of the activated sludge process, and the aeration pressure loss of the adopted perforated pipe is far smaller than that of the microporous aeration, so that the implementation difficulty is higher and the control effect is greatly reduced if the partition control concept is adopted for the aeration control of the MBBR process; thirdly, in the current application case of actual aeration control, a plurality of problems exist, such as the sum of branch pipes and total pipe values of the air flow meters are not matched, the two groups of biological tanks have the problems of uneven water distribution, uneven air distribution and the like, and the problems also influence the actual application effect of the prior art of applying more partition control and flow control concepts in the activated sludge process; fourthly, partial aeration control in the current market depends on a large number of meters and valves with high price, so that the hardware investment is high, the economic benefit is not obvious, and the hardware investment is necessarily reduced.
In combination with the current problem and the unique characteristics of the MBBR process, it is necessary to develop a set of intelligent aeration control system which accords with the MBBR process.
Disclosure of Invention
In view of the above problems in the prior art, a first object of the present invention is to provide an intelligent aeration system based on a biofilm MBBR process.
The invention adopts the following technical scheme:
an intelligent aeration system based on a biological membrane MBBR process comprises two groups of pure membrane MBBR systems, a blast aeration system, an on-line instrument monitoring system, an upper computer and a field PLC control system;
the two groups of pure membrane MBBR systems comprise a first group of pure membrane MBBR systems and a second group of pure membrane MBBR systems, the first group of pure membrane MBBR systems and the second group of pure membrane MBBR systems are operated in parallel, each group of pure membrane MBBR systems comprises an aerobic tank, and a suspension carrier, a perforated pipe aeration device and an interception device are arranged in the aerobic tank;
the blast aeration system comprises a fan, wherein the fan is connected with a main air supply pipeline, the main air supply pipeline is connected with two branch pipelines, each branch pipeline is connected with a perforated pipe aeration device of an aerobic tank, the main air supply pipeline and the two branch pipelines are both provided with thermal type gas flow meters, and the two branch pipelines are also provided with electric regulating valves;
the online instrument monitoring system comprises a water inlet flowmeter, a water inlet online ammonia nitrogen analyzer, an online dissolved oxygen analyzer and a water outlet online ammonia nitrogen analyzer, wherein the water inlet flowmeter and the water inlet online ammonia nitrogen analyzer are arranged at the water inlet ends of two groups of pure membrane MBBR systems, the online dissolved oxygen analyzer is arranged at the rear end of an interception device of each group of pure membrane MBBR systems, and the water outlet online ammonia nitrogen analyzer is arranged at the water outlet ends of the two groups of pure membrane MBBR systems;
an ammonia nitrogen-dissolved oxygen decision module, a dissolved oxygen-main pipe gas flow control module and a dissolved oxygen-branch pipe gas flow-valve control module are arranged in the upper computer;
the upper computer is in communication connection with a field PLC control system, and the field PLC control system is electrically connected with a fan, a thermal type gas flowmeter, an electric regulating valve, a water inlet flowmeter, a water inlet online ammonia nitrogen analyzer, an online dissolved oxygen analyzer and a water outlet online ammonia nitrogen analyzer.
Preferably, the detection period of the online ammonia nitrogen analyzer of the inflow water is 30-60 minutes, and the detection period of the online ammonia nitrogen analyzer of the outflow water is 30-60 minutes.
The second object of the invention is to provide a control method of intelligent aeration based on a pure membrane MBBR process.
The control method of the intelligent aeration system based on the biological membrane MBBR process adopts the intelligent aeration system based on the biological membrane MBBR process, and comprises the following steps of:
step 1: the on-site PLC control system collects water inflow flow values of the water inflow flowmeter at intervals of T time, water inflow ammonia nitrogen values of the water inflow on-line ammonia nitrogen analyzer, water outflow ammonia nitrogen values of the water outflow on-line ammonia nitrogen analyzer, dissolved oxygen values of the on-line dissolved oxygen analyzer, and transmits the data to the upper computer, and the upper computer calculates the target dissolved oxygen values through the ammonia nitrogen-dissolved oxygen decision module;
step 2: the on-site PLC control system collects actual dissolved oxygen values of on-line dissolved oxygen analyzers of two groups of pure film MBBR systems on site at intervals of T time, gas flow values of the thermal gas flow meters of the main air supply pipeline, gas flow values of the thermal gas flow meters on the two branch pipelines and valve opening of the electric control valve, and transmits the data to the upper computer, and the upper computer calculates a target main pipe gas flow value through a dissolved oxygen-main pipe gas flow control module by combining the target dissolved oxygen values; the upper computer calculates and obtains a target branch pipe gas flow value through a dissolved oxygen-branch pipe gas flow-valve control module;
step 3: the on-site PLC control system receives a target main pipe gas flow value instruction issued by the upper computer, and adjusts the air quantity or frequency of the fan and starts and stops the fan; and the on-site PLC control system receives a target branch pipe gas flow value instruction issued by the upper computer and executes the opening adjustment of the electric regulating valve.
Preferably, the ammonia nitrogen-dissolved oxygen decision module is internally provided with a mathematical model, and the mathematical model is trained by a deep learning algorithm through historical data of the intelligent aeration system based on the biofilm MBBR process for 3 to 6 months.
Preferably, the process of calculating the target main pipe gas flow value by the dissolved oxygen-main pipe gas flow control module is as follows:
collecting the actual dissolved oxygen value DO of an online dissolved oxygen analyzer in a first group of pure membrane MBBR systems at intervals of T time 1 CollectingActual dissolved oxygen value DO of online dissolved oxygen analyzer in second group of pure membrane MBBR system 2 DO is obtained 1 With DO 2 Average value (DO) 1 +DO 2 ) 2; average value and target dissolved oxygen value DO t Comparing, if DO t -m≤(DO 1 +DO 2 )/2≤DO t +m, then Q T ＝Q Main unit The method comprises the steps of carrying out a first treatment on the surface of the If (DO 1 +DO 2 )/2＞DO t +m, then Q T ＝Q Main unit -X; when (DO 1 +DO 2 )/2＜DO t -m, then Q T ＝Q Main unit +X；
Wherein Q is Main unit The actual gas flow value of the main air supply pipeline is obtained by a thermal type gas flowmeter on the main air supply pipeline; q (Q) T A gas flow value is taken as a main pipe for the target; x is the amplitude value of each adjustment, which is a fixed positive value, and m is a fixed positive value.
Preferably, when the target main pipe gas flow value Q T ＝Q Main unit When X, the on-site PLC control system controls the fan to reduce the air quantity; when the target main pipe gas flow value Q T ＝Q Main unit And when +X, the on-site PLC control system controls the fan to increase the air quantity.
Preferably, the process of calculating the target branch pipe gas flow value by the dissolved oxygen-branch pipe gas flow-valve control module is as follows:
collecting the actual dissolved oxygen value DO of an online dissolved oxygen analyzer in a first group of pure membrane MBBR systems at intervals of T time 1 Collecting the actual dissolved oxygen value DO of an online dissolved oxygen analyzer in a second group of pure membrane MBBR systems 2 When |DO 1 -DO 2 Q is less than or equal to n 1 ＝Q 1t ，Q 2 ＝Q 2t The method comprises the steps of carrying out a first treatment on the surface of the When |DO 1 -DO 2 When | > n, if DO 1 ＞DO 2 Q is then 2t ＝Q 2 +Y; if DO 1 ＜DO 2 Q is then 1t ＝Q 1 +Y；
Wherein Q is 1 For the actual gas flow value of the branch pipes connected with the first group of pure film MBBR systems, the thermal gas flow meter on the branch pipes connected with the first group of pure film MBBR systems is used for measuring，Q 2 For the actual gas flow value of the branch pipe connected with the second group of pure film MBBR systems, the actual gas flow value is measured by a thermal type gas flow meter on the branch pipe connected with the second group of pure film MBBR systems, Q 1t Target branch pipe gas flow value Q of branch pipe connected with first group of pure membrane MBBR system 2t A target branch pipe gas flow value for a branch pipe connected with the second group of pure membrane MBBR systems; y is a constant positive value for each adjusted gas flow value, and n is a constant positive value.
Preferably, when Q 2t ＝Q 2 When +Y, the on-site PLC control system controls the opening of the electric regulating valve on the branch pipeline connected with the second group of pure film MBBR systems, so that the gas flow value in the branch pipeline connected with the second group of pure film MBBR systems approaches to Q 2t The method comprises the steps of carrying out a first treatment on the surface of the When Q is 1t ＝Q 1 When +Y, the on-site PLC control system controls the opening of the electric regulating valve on the branch pipeline connected with the first group of pure film MBBR systems, so that the gas flow value in the branch pipeline connected with the first group of pure film MBBR systems approaches to Q 1t 。
The invention has the beneficial effects that:
1. according to the invention, by taking two groups of pure membrane MBBR systems as a whole for aeration control, the aeration of each group of pure membrane MBBR systems is not required to be controlled in a partition mode, and the problems of large implementation difficulty and poor effect caused by the adoption of partition control in the aeration control of the MBBR process are solved.
2. The system and the control method take possible differences between two aerobic tanks into consideration, adjust the gas flow of the main air supply pipeline by the average value of the dissolved oxygen values of the two groups of pure film MBBR systems, and realize the adjustment of the gas flow of the branch pipeline by comparing the dissolved oxygen values of the two groups of pure film MBBR systems, wherein the two adjustment modes are mutually independent, and can solve the problem of uneven gas distribution caused by different water distribution amounts of different aerobic tanks, perforation aeration operation differences and the like in the prior art.
3. The control method can perform accurate aeration control, so that the system has strong impact load resistance and stable water quality. The method has remarkable effect on removal of COD and NH3-N, TN, and the system effluent is stable to reach the first-level A effluent standard, wherein TN and NH3-N can reach the surface IV water standard.
4. Compared with the existing aeration zone control system, the system does not need to install a large number of meters and expensive valves, reduces the hardware investment of the sewage plant, and improves the economic benefit of the sewage plant. The intelligent aeration part has low equipment investment, and is beneficial to the stable operation of the pure membrane MBBR technology, energy conservation and consumption reduction.
Drawings
FIG. 1 is a schematic diagram of the structure of an intelligent aeration system based on a biofilm MBBR process.
Detailed Description
The following description of the embodiments of the invention will be given with reference to the accompanying drawings and examples:
example 1
As shown in figure 1, the intelligent aeration system based on the biological membrane MBBR process comprises two groups of pure membrane MBBR systems, a blast aeration system, an on-line instrument monitoring system, an upper computer 1 and a field PLC control system 2.
The two groups of pure membrane MBBR systems comprise a first group of pure membrane MBBR systems and a second group of pure membrane MBBR systems, the first group of pure membrane MBBR systems and the second group of pure membrane MBBR systems are operated in parallel, each group of pure membrane MBBR systems comprises an aerobic tank 3, and a suspension carrier 4, a perforated pipe aeration device 5 and an interception device 6 are arranged in the aerobic tank 3.
The construction of the suspension carrier 4, the perforated pipe aeration device 5 and the interception device 6 is prior art and will not be described in detail here.
The blast aeration system comprises a fan 7, the fan is connected with a main air supply pipeline 8, the main air supply pipeline is connected with two branch pipelines 9, each branch pipeline 9 is connected with a perforated pipe aeration 5 device of the aerobic tank 3, a thermal type gas flowmeter 10 is arranged on the main air supply pipeline 8 and the two branch pipelines 9, and an electric regulating valve 11 is also arranged on the two branch pipelines 9.
The online instrument monitoring system comprises a water inlet flowmeter 12, a water inlet online ammonia nitrogen analyzer 13, an online dissolved oxygen analyzer 14 and a water outlet online ammonia nitrogen analyzer 15, wherein the water inlet flowmeter 12 and the water inlet online ammonia nitrogen analyzer 13 are arranged at the water inlet ends of two groups of pure membrane MBBR systems, the online dissolved oxygen analyzer 13 is arranged at the rear end of the interception device 6 of each group of pure membrane MBBR systems, and the water outlet online ammonia nitrogen analyzer 14 is arranged at the water outlet ends of the two groups of pure membrane MBBR systems.
An ammonia nitrogen-dissolved oxygen decision module, a dissolved oxygen-main pipe gas flow control module and a dissolved oxygen-branch pipe gas flow-valve control module are arranged in the upper computer.
The upper computer is in communication connection with the field PLC control system, the field PLC control system sends collected data to the upper computer for processing, and the upper computer issues control instructions to the field PLC control system.
The on-site PLC control system is electrically connected with a fan 7, a thermal type gas flowmeter 10, an electric regulating valve 11, a water inlet flowmeter 12, a water inlet on-line ammonia nitrogen analyzer 13, an on-line dissolved oxygen analyzer 14 and a water outlet on-line ammonia nitrogen analyzer 15.
The on-site PLC control system can collect data of the thermal type gas flowmeter 10, the water inlet flowmeter 12, the water inlet online ammonia nitrogen analyzer 13, the online dissolved oxygen analyzer 14 and the water outlet online ammonia nitrogen analyzer 15, can also adjust the air quantity or frequency of a fan or start and stop the fan, and can also adjust the opening of the electric regulating valve 11.
In the embodiment, the detection period of the online ammonia nitrogen analyzer of the inlet water is 30-60 minutes, and the detection period of the online ammonia nitrogen analyzer of the outlet water is 30-60 minutes.
Example 2
A control method of an intelligent aeration system based on a biological membrane MBBR process adopts the intelligent aeration system based on the biological membrane MBBR process of the embodiment 1, and comprises the following steps:
step 1: the on-site PLC control system 2 collects the inflow flow value of the inflow flowmeter 12 every interval T, the inflow ammonia nitrogen value of the inflow on-line ammonia nitrogen analyzer 13, the outflow ammonia nitrogen value of the outflow on-line ammonia nitrogen analyzer 15 and the dissolved oxygen value of the on-line dissolved oxygen analyzer 14, and transmits the data to the upper computer, and the upper computer calculates the target dissolved oxygen value through an ammonia nitrogen-dissolved oxygen decision module.
The ammonia nitrogen-dissolved oxygen decision module is internally provided with a mathematical model, the mathematical model is trained by using the historical data of the intelligent aeration system based on the biological membrane MBBR technology for 3 to 6 months through a deep learning algorithm, for example, the mathematical model is obtained by using the historical data of the intelligent aeration system based on the biological membrane MBBR technology for 3 to 6 months through a convolution neural network algorithm. This process is enabled by the prior art and will not be described in detail here.
Step 2: the on-site PLC control system 2 collects actual dissolved oxygen values of the on-line dissolved oxygen analyzers 14 of two groups of pure film MBBR systems on site at intervals of T time, gas flow values of the thermal type gas flow meters 10 of the main air supply pipeline 8, gas flow values of the thermal type gas flow meters 10 on two branch pipelines, the opening of the valve 11 of the electric control valve, and transmits the data to an upper computer, and the upper computer calculates a target main pipe gas flow value through a dissolved oxygen-main pipe gas flow control module by combining the target dissolved oxygen values; the upper computer calculates the target branch pipe gas flow value through the dissolved oxygen-branch pipe gas flow-valve control module.
Step 3: the on-site PLC control system receives a target main pipe gas flow value instruction issued by the upper computer, and adjusts the air quantity or frequency of the fan and starts and stops the fan; and the on-site PLC control system receives a target branch pipe gas flow value instruction issued by the upper computer and executes the opening adjustment of the electric regulating valve.
The process of calculating the target main gas flow value by the dissolved oxygen-main gas flow control module is described below by way of example:
example 1: setting a target dissolved oxygen value DO t The actual dissolved oxygen value DO of the online dissolved oxygen analyzer in the first group of pure membrane MBBR system is collected every 5 minutes with the concentration of 5mg/l, m=0.5 1 The actual dissolved oxygen value DO of the online dissolved oxygen analyzer in the second group of pure membrane MBBR systems is collected =4.8 mg/l 2 DO was obtained by taking 5.3mg/l 1 With DO 2 Average value (DO) 1 +DO 2 ) 2; then (DO) 1 +DO 2 )/2＝5.05mg/l，4.5≤(DO 1 +DO 2 ) Wherein, 2 is less than or equal to 5.5, Q T ＝Q Main unit Wherein Q is Main unit The actual gas flow value of the main air supply pipeline is obtained by a thermal type gas flowmeter on the main air supply pipeline; q (Q) T And (5) a gas flow value is mainly used for the target. It is known that the gas flow in the main supply duct does not need to be adjusted.
Example 2: setting a target dissolved oxygen value DO t The actual dissolved oxygen value DO of the online dissolved oxygen analyzer in the first group of pure membrane MBBR system is collected every 5 minutes with the concentration of 5mg/l, m=0.5 1 The actual dissolved oxygen value DO of the online dissolved oxygen analyzer in the second group of pure membrane MBBR systems is collected =4.4 mg/l 2 =4.3 mg/l, then (DO 1 +DO 2 )/2＝4.35mg/l，(DO 1 +DO 2 ) With/2 < 4.5, Q T ＝Q Main unit +X, the on-site PLC control system controls the fan to increase the air quantity, the increased value is a fixed value X, and the value of X can be freely set.
Example 3: setting a target dissolved oxygen value DO t The actual dissolved oxygen value DO of the online dissolved oxygen analyzer in the first group of pure membrane MBBR system is collected every 5 minutes with the concentration of 5mg/l, m=0.5 1 The actual dissolved oxygen value DO of the online dissolved oxygen analyzer in the second group of pure membrane MBBR systems is collected, which is=5.6 mg/l 2 =5.8 mg/l, then (DO 1 +DO 2 )/2＝5.7mg/l，(DO 1 +DO 2 ) With/2 > 5.5, Q T ＝Q Main unit X, the on-site PLC control system controls the fan to reduce the air quantity, and the reduction value is a fixed value X.
The process of calculating the target manifold gas flow value by the dissolved oxygen-manifold gas flow-valve control module is described below by way of example:
example 4: setting a target dissolved oxygen value DO t The actual dissolved oxygen value DO of the online dissolved oxygen analyzer in the first group of pure membrane MBBR system is collected every 5 minutes, wherein the concentration of the dissolved oxygen value DO is 5mg/l, and the concentration of the dissolved oxygen value n is 0.3 1 The actual dissolved oxygen value DO of the online dissolved oxygen analyzer in the second group of pure membrane MBBR systems is collected =4.8 mg/l 2 =5.3 mg/l, knowing |do 1 -DO 2 I > 0.3, and DO 1 ＜DO 2 Q is then 1t ＝Q 1 +Y。Q 1 For connection to a first set of pure membrane MBBR systemsThe actual gas flow value of the branch pipeline is measured by a thermal gas flow meter on the branch pipeline connected with the first group of pure film MBBR systems, Q 1t Target branch gas flow values for branch pipes connected to the first set of pure membrane MBBR systems. It is known that the on-site PLC control system should control the opening of the electric regulating valve on the branch pipe connected with the first group of pure film MBBR systems to increase the gas flow rate of the branch pipe connected with the first group of pure film MBBR systems so that the gas flow rate value in the branch pipe connected with the first group of pure film MBBR systems approaches to Q 1t 。
Example 5: setting a target dissolved oxygen value DO t The actual dissolved oxygen value DO of the online dissolved oxygen analyzer in the first group of pure membrane MBBR system is collected every 5 minutes, wherein the concentration of the dissolved oxygen value DO is 5mg/l, and the concentration of the dissolved oxygen value n is 0.3 1 The actual dissolved oxygen value DO of the online dissolved oxygen analyzer in the second group of pure membrane MBBR systems is collected =4.4 mg/l 2 =4.3 mg/l, knowing |do 1 -DO 2 Q is less than or equal to 0.3 1 ＝Q 1t ，Q 2 ＝Q 2t . It is known that the on-site PLC control system does not adjust the electrically operated regulator valve on the branch pipe.
Example 6: setting a target dissolved oxygen value DO t The actual dissolved oxygen value DO of the online dissolved oxygen analyzer in the first group of pure membrane MBBR system is collected every 5 minutes, wherein the concentration of the dissolved oxygen value DO is 5mg/l, and the concentration of the dissolved oxygen value n is 0.3 1 The actual dissolved oxygen value DO of the online dissolved oxygen analyzer in the second group of pure membrane MBBR systems is collected, which is=5.6 mg/l 2 =5.2 mg/l, knowing |do 1 -DO 2 I > 0.3, and DO 1 ＞DO 2 Q is then 2t ＝Q 2 +Y. It can be known that the on-site PLC control system controls the opening of the electric regulating valve on the branch pipeline connected with the second group of pure film MBBR systems, and increases the gas flow of the branch pipeline connected with the second group of pure film MBBR systems, so that the gas flow value in the branch pipeline connected with the second group of pure film MBBR systems approaches to Q 2t . Y is the gas flow value adjusted each time, and can be freely set.
It should be understood that the above description is not intended to limit the invention to the particular embodiments disclosed, but to limit the invention to the particular embodiments disclosed, and that the invention is not limited to the particular embodiments disclosed, but is intended to cover modifications, adaptations, additions and alternatives falling within the spirit and scope of the invention.
Claims (8)
1. An intelligent aeration system based on a biological membrane MBBR process is characterized by comprising two groups of pure membrane MBBR systems, a blast aeration system, an on-line instrument monitoring system, an upper computer and a field PLC control system;
the two groups of pure membrane MBBR systems comprise a first group of pure membrane MBBR systems and a second group of pure membrane MBBR systems, the first group of pure membrane MBBR systems and the second group of pure membrane MBBR systems are operated in parallel, each group of pure membrane MBBR systems comprises an aerobic tank, and a suspension carrier, a perforated pipe aeration device and an interception device are arranged in the aerobic tank;
the blast aeration system comprises a fan, wherein the fan is connected with a main air supply pipeline, the main air supply pipeline is connected with two branch pipelines, each branch pipeline is connected with a perforated pipe aeration device of an aerobic tank, the main air supply pipeline and the two branch pipelines are both provided with thermal type gas flow meters, and the two branch pipelines are also provided with electric regulating valves;
the online instrument monitoring system comprises a water inlet flowmeter, a water inlet online ammonia nitrogen analyzer, an online dissolved oxygen analyzer and a water outlet online ammonia nitrogen analyzer, wherein the water inlet flowmeter and the water inlet online ammonia nitrogen analyzer are arranged at the water inlet ends of two groups of pure membrane MBBR systems, the online dissolved oxygen analyzer is arranged at the rear end of an interception device of each group of pure membrane MBBR systems, and the water outlet online ammonia nitrogen analyzer is arranged at the water outlet ends of the two groups of pure membrane MBBR systems;
an ammonia nitrogen-dissolved oxygen decision module, a dissolved oxygen-main pipe gas flow control module and a dissolved oxygen-branch pipe gas flow-valve control module are arranged in the upper computer;
the upper computer is in communication connection with a field PLC control system, and the field PLC control system is electrically connected with a fan, a thermal type gas flowmeter, an electric regulating valve, a water inlet flowmeter, a water inlet online ammonia nitrogen analyzer, an online dissolved oxygen analyzer and a water outlet online ammonia nitrogen analyzer.
2. The intelligent aeration system based on the biofilm MBBR technology, according to claim 1, is characterized in that the detection period of the online ammonia nitrogen analyzer of the inlet water is 30-60 minutes, and the detection period of the online ammonia nitrogen analyzer of the outlet water is 30-60 minutes.
3. A control method of an intelligent aeration system based on a biofilm MBBR process, characterized in that an intelligent aeration system based on a biofilm MBBR process as claimed in any one of claims 1 and 2 is adopted, comprising the following steps:
step 1: the on-site PLC control system collects water inflow flow values of the water inflow flowmeter at intervals of T time, water inflow ammonia nitrogen values of the water inflow on-line ammonia nitrogen analyzer, water outflow ammonia nitrogen values of the water outflow on-line ammonia nitrogen analyzer, dissolved oxygen values of the on-line dissolved oxygen analyzer, and transmits the data to the upper computer, and the upper computer calculates the target dissolved oxygen values through the ammonia nitrogen-dissolved oxygen decision module;
step 2: the on-site PLC control system collects actual dissolved oxygen values of on-line dissolved oxygen analyzers of two groups of pure film MBBR systems on site at intervals of T time, gas flow values of the thermal gas flow meters of the main air supply pipeline, gas flow values of the thermal gas flow meters on the two branch pipelines and valve opening of the electric control valve, and transmits the data to the upper computer, and the upper computer calculates a target main pipe gas flow value through a dissolved oxygen-main pipe gas flow control module by combining the target dissolved oxygen values; the upper computer calculates and obtains a target branch pipe gas flow value through a dissolved oxygen-branch pipe gas flow-valve control module;
step 3: the on-site PLC control system receives a target main pipe gas flow value instruction issued by the upper computer, and adjusts the air quantity or frequency of the fan and starts and stops the fan; and the on-site PLC control system receives a target branch pipe gas flow value instruction issued by the upper computer and executes the opening adjustment of the electric regulating valve.
4. The control method of an intelligent aeration system based on a biofilm MBBR process according to claim 3, wherein the ammonia nitrogen-dissolved oxygen decision module is built in a mathematical model which is trained by a deep learning algorithm by using historical data of the intelligent aeration system based on the biofilm MBBR process for 3 to 6 months.
5. The method for controlling an intelligent aeration system based on a biofilm MBBR process according to claim 3, wherein the process of calculating the target main pipe gas flow value by the dissolved oxygen-main pipe gas flow control module is as follows:
collecting the actual dissolved oxygen value DO of an online dissolved oxygen analyzer in a first group of pure membrane MBBR systems at intervals of T time 1 Collecting the actual dissolved oxygen value DO of an online dissolved oxygen analyzer in a second group of pure membrane MBBR systems 2 DO is obtained 1 With DO 2 Average value (DO) 1 +DO 2 ) 2; average value and target dissolved oxygen value DO t Comparing, if DO t -m≤(DO 1 +DO 2 )/2≤DO t +m, then Q T ＝Q Main unit The method comprises the steps of carrying out a first treatment on the surface of the If (DO 1 +DO 2 )/2＞DO t +m, then Q T ＝Q Main unit -X; when (DO 1 +DO 2 )/2＜DO t -m, then Q T ＝Q Main unit +X；
Wherein Q is Main unit The actual gas flow value of the main air supply pipeline is obtained by a thermal type gas flowmeter on the main air supply pipeline; q (Q) T A gas flow value is taken as a main pipe for the target; x is the amplitude value of each adjustment, which is a fixed positive value, and m is a fixed positive value.
6. The method for controlling an intelligent aeration system based on a biofilm MBBR process according to claim 5, wherein when the target main pipe gas flow value Q is T ＝Q Main unit When X, the on-site PLC control system controls the fan to reduce the air quantity; when the target main pipe gas flow value Q T ＝Q Main unit And when +X, the on-site PLC control system controls the fan to increase the air quantity.
7. A control method of an intelligent aeration system based on a biofilm MBBR process according to claim 3, wherein the process of calculating the target branch pipe gas flow value by the dissolved oxygen-branch pipe gas flow-valve control module is as follows:
collecting the actual dissolved oxygen value DO of an online dissolved oxygen analyzer in a first group of pure membrane MBBR systems at intervals of T time 1 Collecting the actual dissolved oxygen value DO of an online dissolved oxygen analyzer in a second group of pure membrane MBBR systems 2 When |DO 1 -DO 2 Q is less than or equal to n 1 ＝Q 1t ，Q 2 ＝Q 2t The method comprises the steps of carrying out a first treatment on the surface of the When |DO 1 -DO 2 When | > n, if DO 1 ＞DO 2 Q is then 2t ＝Q 2 +Y; if DO 1 ＜DO 2 Q is then 1t ＝Q 1 +Y；
Wherein Q is 1 For the actual gas flow value of the branch pipe connected with the first group of pure film MBBR systems, the actual gas flow value is measured by a thermal type gas flow meter on the branch pipe connected with the first group of pure film MBBR systems, Q 2 For the actual gas flow value of the branch pipe connected with the second group of pure film MBBR systems, the actual gas flow value is measured by a thermal type gas flow meter on the branch pipe connected with the second group of pure film MBBR systems, Q 1t Target branch pipe gas flow value Q of branch pipe connected with first group of pure membrane MBBR system 2t A target branch pipe gas flow value for a branch pipe connected with the second group of pure membrane MBBR systems; y is a constant positive value for each adjusted gas flow value, and n is a constant positive value.
8. The method for controlling an intelligent aeration system based on a biofilm MBBR process according to claim 7, wherein when Q 2t ＝Q 2 When +Y, the on-site PLC control system controls the opening of the electric regulating valve on the branch pipeline connected with the second group of pure film MBBR systems, so that the gas flow value in the branch pipeline connected with the second group of pure film MBBR systems approaches to Q 2t The method comprises the steps of carrying out a first treatment on the surface of the When Q is 1t ＝Q 1 When +Y, the on-site PLC control system controls the opening of the electric regulating valve on the branch pipeline connected with the first group of pure film MBBR systems, so that the gas flow value in the branch pipeline connected with the first group of pure film MBBR systems approaches to Q 1t 。
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