CN118026391A - Automatic control carbon source adding system and method - Google Patents
Automatic control carbon source adding system and method Download PDFInfo
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- CN118026391A CN118026391A CN202410143904.3A CN202410143904A CN118026391A CN 118026391 A CN118026391 A CN 118026391A CN 202410143904 A CN202410143904 A CN 202410143904A CN 118026391 A CN118026391 A CN 118026391A
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- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 53
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 53
- 238000000034 method Methods 0.000 title claims abstract description 11
- 229910002651 NO3 Inorganic materials 0.000 claims abstract description 53
- NHNBFGGVMKEFGY-UHFFFAOYSA-N Nitrate Chemical compound [O-][N+]([O-])=O NHNBFGGVMKEFGY-UHFFFAOYSA-N 0.000 claims abstract description 53
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 45
- OKKJLVBELUTLKV-UHFFFAOYSA-N Methanol Chemical compound OC OKKJLVBELUTLKV-UHFFFAOYSA-N 0.000 claims abstract description 42
- 238000012544 monitoring process Methods 0.000 claims abstract description 24
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 10
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 10
- 239000001301 oxygen Substances 0.000 claims abstract description 10
- 230000005540 biological transmission Effects 0.000 claims abstract description 4
- 238000010992 reflux Methods 0.000 claims description 23
- 238000006243 chemical reaction Methods 0.000 claims description 16
- 238000004062 sedimentation Methods 0.000 claims description 11
- 238000012937 correction Methods 0.000 claims description 8
- 239000007788 liquid Substances 0.000 claims description 8
- 230000001546 nitrifying effect Effects 0.000 claims description 8
- 239000010802 sludge Substances 0.000 claims description 8
- QOTAEASRCGCJDN-UHFFFAOYSA-N [C].CO Chemical compound [C].CO QOTAEASRCGCJDN-UHFFFAOYSA-N 0.000 claims description 5
- YPJKMVATUPSWOH-UHFFFAOYSA-N nitrooxidanyl Chemical compound [O][N+]([O-])=O YPJKMVATUPSWOH-UHFFFAOYSA-N 0.000 claims description 5
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 abstract description 20
- 239000010865 sewage Substances 0.000 abstract description 18
- 229910052757 nitrogen Inorganic materials 0.000 abstract description 10
- 239000002351 wastewater Substances 0.000 description 17
- 230000001105 regulatory effect Effects 0.000 description 6
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 239000013043 chemical agent Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000012895 dilution Substances 0.000 description 2
- 238000010790 dilution Methods 0.000 description 2
- 230000003203 everyday effect Effects 0.000 description 2
- VMHLLURERBWHNL-UHFFFAOYSA-M Sodium acetate Chemical compound [Na+].CC([O-])=O VMHLLURERBWHNL-UHFFFAOYSA-M 0.000 description 1
- 238000006065 biodegradation reaction Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 239000011259 mixed solution Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002957 persistent organic pollutant Substances 0.000 description 1
- 231100000614 poison Toxicity 0.000 description 1
- 150000003384 small molecules Chemical class 0.000 description 1
- 235000017281 sodium acetate Nutrition 0.000 description 1
- 239000001632 sodium acetate Substances 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000003440 toxic substance Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F3/00—Biological treatment of water, waste water, or sewage
- C02F3/006—Regulation methods for biological treatment
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F3/00—Biological treatment of water, waste water, or sewage
- C02F3/30—Aerobic and anaerobic processes
- C02F3/302—Nitrification and denitrification treatment
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2103/00—Nature of the water, waste water, sewage or sludge to be treated
- C02F2103/34—Nature of the water, waste water, sewage or sludge to be treated from industrial activities not provided for in groups C02F2103/12 - C02F2103/32
- C02F2103/343—Nature of the water, waste water, sewage or sludge to be treated from industrial activities not provided for in groups C02F2103/12 - C02F2103/32 from the pharmaceutical industry, e.g. containing antibiotics
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/005—Processes using a programmable logic controller [PLC]
- C02F2209/006—Processes using a programmable logic controller [PLC] comprising a software program or a logic diagram
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2305/00—Use of specific compounds during water treatment
- C02F2305/06—Nutrients for stimulating the growth of microorganisms
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Microbiology (AREA)
- Hydrology & Water Resources (AREA)
- Engineering & Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- Water Supply & Treatment (AREA)
- Chemical & Material Sciences (AREA)
- Organic Chemistry (AREA)
- Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Purification Treatments By Anaerobic Or Anaerobic And Aerobic Bacteria Or Animals (AREA)
Abstract
The invention is applicable to the technical field of sewage treatment, and provides an automatic control carbon source adding system, which comprises the following components: the monitoring module is used for monitoring water quality parameters in real time, wherein the water quality parameters comprise nitrate concentration, dissolved oxygen concentration and inflow water flow; the controller module is used for collecting real-time data of the monitoring module and transmitting the data; the intelligent dosing control center module is used for receiving the data transmitted by the controller module, calculating the real-time optimal dosing amount through a carbon source dosing theory dosing output model and transmitting the real-time optimal dosing amount back to the controller module; the dosing module is used for adjusting dosing according to the instruction downloaded by the controller module; and the remote transmission module is used for transmitting the data and the instructions. The invention also provides an automatic control carbon source adding method. The invention establishes a carbon source dosing theory dosing output model, which can reduce the exceeding of total nitrogen in the effluent caused by manual dosing errors and can reduce the dosing amount of methanol.
Description
Technical Field
The invention belongs to the technical field of sewage treatment, and particularly relates to an automatic control carbon source adding system and method.
Background
Along with the rapid development of the pharmaceutical industry, the treatment of pharmaceutical wastewater gradually becomes a major problem, and has the characteristics of complex components, large fluctuation of water quality and water quantity, multiple types of organic pollutants, high concentration, difficult biodegradation and toxic substances, high concentration of ammonia nitrogen and total nitrogen, unbalanced proportion of organic matters and total nitrogen in the water inlet and the like. Aiming at the problem of unbalanced proportion of water inlet organic matters and total nitrogen in a pharmaceutical sewage treatment plant, small molecules such as sodium acetate, methanol and the like are additionally added into the sewage treatment plant in a denitrification stage to serve as electron donors for denitrification reaction, namely, an external carbon source is added, so that the total nitrogen removal requirement is met.
At present, a sewage treatment plant mostly adopts a manual regulation and control mode or a mode of fixing dosing flow to dose carbon sources, the automation and informatization degree of the sewage treatment plant are low, the problems of excessive dosing, frequent regulation and control and the like exist, the dosing of the chemical agents according to the carbon source demand of a biological pond cannot be achieved, the excessive dosing of the external carbon sources not only increases the chemical agent cost, but also indirectly promotes the carbon emission, the risk of damaging the nitrification capacity of an aerobic zone exists, and the human resource waste is caused due to the frequent regulation and control, so that the operation cost of the sewage treatment plant is increased.
Disclosure of Invention
The embodiment of the invention aims to provide an automatic control carbon source adding system, which aims to solve the problems in the background technology.
The embodiment of the invention is realized in such a way that an automatic control carbon source adding system comprises:
the monitoring module is used for monitoring water quality parameters in real time, wherein the water quality parameters comprise nitrate concentration, dissolved oxygen concentration and inflow water flow;
the controller module is used for collecting real-time data of the monitoring module and transmitting the data;
The intelligent dosing control center module is used for receiving the data transmitted by the controller module, calculating the real-time optimal dosing amount through a carbon source dosing theory dosing output model and transmitting the real-time optimal dosing amount back to the controller module;
the dosing module is used for adjusting dosing according to the instruction downloaded by the controller module;
and the remote transmission module is used for transmitting the data and the instructions.
Preferably, the monitoring module is an on-line monitoring instrument.
Preferably, the nitrate concentration comprises the nitrate concentration of the inlet water of the anoxic tank, the nitrate concentration of the reflux nitrifying liquid and the nitrate concentration carried by the reflux sludge of the secondary sedimentation tank.
Preferably, the controller module is a programmable logic controller.
Preferably, the carbon source dosing theory dosing output model is shown in formula 1:
M＝[(β1×DO+NO1×(1/(1+r+R))+NO2×(r/(1+r+R))+NO3×(R/(1+r+R)))
×β2-SCOD]×Q×β3；(1)
wherein M is the operating frequency of a methanol carbon source dosing pump required by denitrification and Hz; NO 1 is the nitrate concentration of the inlet water of the anoxic tank, mg/L; NO 2 is the nitrate concentration of the reflux nitrifying liquid, and mg/L; NO 3 is the concentration of nitrate carried by the secondary sedimentation tank return sludge, mg/L; r is internal reflux multiple; r is external reflux multiple; SCOD is the analog quantity of anaerobic inflow SCOD, mg/L; q is water inflow, and m 3/h;β1 is conversion coefficient of dissolved oxygen and nitrate radical; beta 2 is the conversion coefficient of nitrate and COD; beta 3 is the conversion coefficient of SCOD required concentration and the operating frequency of the methanol dosing pump.
Preferably, the dosing module is a variable-frequency metering pump, the intelligent dosing control center module calculates real-time optimal dosing amount and outputs the optimal dosing amount in a mode of the running frequency of the metering pump, and the running frequency is downloaded to the variable-frequency metering pump through the controller module, so that dynamic adjustment of the metering pump is realized.
Another object of the embodiment of the present invention is to provide an automatic control carbon source adding method, which adopts the above automatic control carbon source adding system, comprising the following steps:
(1) Nitrate on-line monitoring instruments are arranged at the water inlet of the anoxic tank, the water outlet of the aerobic tank and the water outlet of the secondary sedimentation tank, and the nitrate concentration is monitored in real time;
(2) Based on actual operation data, a theoretical model is established to predict the carbon source demand of the biological pool, multistage parameters are set for feedback correction, correction coefficients are set to introduce manual regulation when necessary, and a final carbon source dosing theoretical dosing rate output model is ：M＝[(β1×DO+NO1×(1/(1+r+R))+NO2×(r/(1+r+R))+NO3×(R/(1+r+R)))×β2-SCOD]×Q×β3;(1)
Wherein M is the operating frequency of a methanol carbon source dosing pump required by denitrification and Hz; NO 1 is the nitrate concentration of the inlet water of the anoxic tank, mg/L; NO 2 is the nitrate concentration of the reflux nitrifying liquid, and mg/L; NO 3 is the concentration of nitrate carried by the secondary sedimentation tank return sludge, mg/L; r is internal reflux multiple; r is external reflux multiple; SCOD is the analog quantity of anaerobic inflow SCOD, mg/L; q is water inflow, and m 3/h;β1 is conversion coefficient of dissolved oxygen and nitrate radical; beta 2 is the conversion coefficient of nitrate and COD; beta 3 is the conversion coefficient of SCOD required concentration and the operating frequency of the methanol dosing pump;
(3) Real-time data of an on-line monitoring instrument through a programmable logic controller are transmitted to an intelligent dosing control center, a carbon source dosing theory dosing rate output model of the control center calculates real-time optimal dosing amount according to the real-time monitoring data and outputs the real-time optimal dosing amount in a metering pump operation frequency mode, and the estimated operation frequency is downloaded to a variable-frequency metering pump through the programmable logic controller to realize dynamic adjustment of the metering pump.
According to the automatic control carbon source adding system provided by the embodiment of the invention, a carbon source adding theory adding and outputting model is established according to the water quality characteristics and the treatment process of pharmaceutical wastewater, so that the total nitrogen exceeding standard of the effluent caused by manual adding errors can be reduced, and the adding amount of methanol can be reduced.
Drawings
Fig. 1 is a process flow diagram of a pharmaceutical sewage treatment plant provided by an embodiment of the invention;
fig. 2 is a frame diagram of an automatic control carbon source adding system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Specific implementations of the invention are described in detail below in connection with specific embodiments.
Example 1
As shown in figure 1, a process flow chart of a certain pharmaceutical sewage treatment plant is different from urban sewage treatment plant wastewater, the pharmaceutical sewage treatment plant wastewater has the characteristics of higher COD, ammonia nitrogen and total nitrogen concentration, larger and irregular water quality fluctuation and the like, and in order to ensure the stability of a follow-up automatic and precise control carbon source adding system, a set of incoming water scheduling control scheme is designed according to sewage treatment plant wastewater sources: setting two regulating ponds with the same functions, switching and treating incoming water of a wastewater station every day, detecting inflow water quality indexes COD, ammonia nitrogen, total nitrogen and conductivity of high-concentration wastewater and comprehensive process wastewater, respectively carrying out dilution water distribution on the two types of wastewater according to the dilution multiple with the highest index requirement by adopting low-concentration wastewater and rainwater according to the requirement of the effluent internal control index of the wastewater regulating pond, controlling the total quantity of water distribution of the regulating pond to be about 2000m 3, ensuring that the inflow water quality index COD of the effluent internal control index of the regulating pond is below 25000mg/L, the ammonia nitrogen is below 500mg/L, and the total nitrogen is below 800mg/L, and enabling the wastewater of the regulating pond to enter a subsequent treatment process after the wastewater of the regulating pond is well mixed with water quality;
An automatic control carbon source (methanol) adding system is arranged in a primary anoxic-aerobic system of a sewage plant, according to the running condition of the sewage plant, the required adding carbon source amount of a secondary anoxic-aerobic system is relatively less, the denitrification in an anoxic zone is still carried out in a manual adding mode, NO 3 - is taken as an electron acceptor, the carbon source provides electrons, NO 3 - is finally reduced into N 2, the adding amount of an external carbon source is calculated based on the concentration of nitrate and the carbon source in the anoxic zone, the carbon source is calculated according to the Soluble Chemical Oxygen Demand (SCOD), the calculating principle is that the SCOD demand is calculated according to the concentration of nitrate in the anoxic zone, the SCOD is subtracted from the mixed solution to obtain the external carbon source demand, and then the theoretical running frequency of a dosing pump is calculated according to the relation between the running frequency and the dosing amount of the pump, and the nitrate in the anoxic zone has 3 sources: 1) Nitrate is fed into the anoxic tank; 2) Refluxing nitrate contained in the nitrifying liquid in the aerobic tank; 3) Nitrate carried by backflow sludge of the secondary sedimentation tank 2, nitrate concentration at 3 positions are respectively monitored in real time by nitrate on-line monitoring instruments arranged at anoxic water inflow, aerobic tank and secondary sedimentation tank water outflow positions, a theoretical model is established to predict the carbon source demand of the biological tank based on the early-stage actual operation data of the pharmaceutical sewage plant, multistage parameters are set for feedback correction, correction coefficients are set for introducing manual regulation when necessary, and a final carbon source dosing theoretical dosing rate output model is shown as follows ：M＝[(β1×DO+NO1×(1/(1+r+R))+NO2×(r/(1+r+R))+NO3×(R/(1+r+R)))×β2-SCOD]×Q×β3;
Wherein: m is the operating frequency of a methanol carbon source dosing pump required by denitrification and Hz; NO 1 is the nitrate concentration of the inlet water of the anoxic tank, mg/L; NO 2 is the nitrate concentration of the reflux nitrifying liquid, and mg/L; NO 3 is the concentration of nitrate carried by the reflux sludge of the secondary sedimentation tank 2, and mg/L; r is internal reflux multiple; r is external reflux multiple; SCOD is the analog quantity of anaerobic inflow SCOD, mg/L; q is water inflow, and m 3/h;β1 is conversion coefficient of dissolved oxygen and nitrate radical; beta 2 is the conversion coefficient of nitrate and COD; beta 3 is the conversion coefficient of SCOD required concentration and the operating frequency of the methanol dosing pump;
Typical methanol to removed nitrate ratios are 3-4, combined with production data from the wastewater station for 2 months, to determine the methanol to removed nitrate ratio as 3.5, i.e., 3.5 for β2; according to production data of a wastewater station for 2 months, the nitrate concentration of a biochemical pool of the wastewater station is 300-500mg/L, and the dissolved oxygen DO of an aerobic pool is generally controlled to be 2-4mg/L, so that the influence on the nitrate concentration is negligible; after front-end regulation water distribution and anaerobic treatment, the fluctuation of COD concentration of the anaerobic inflow water per day is small (generally 1000-1500 mg/L), and the SCOD analog quantity of the anaerobic inflow water can be determined according to the COD concentration detected manually per day; according to production debugging operation, determining that the internal reflux multiple R is 300% and the external reflux multiple R is 100%, and finally simplifying the output model of the carbon source dosing theory dosing rate of the sewage station into:
M＝[3.5×(0.2NO1+0.6NO2+0.2NO3)-SCOD]×Q×β3；
Wherein, NO 1、NO2 and NO 3 are monitored in real time through an on-line nitrate monitoring instrument, Q is monitored in real time through an on-line water inlet flowmeter, and SCOD is determined according to the COD concentration detected manually every day; beta 3 confirms a dosing correction coefficient according to production debugging operation data statistics of the waste water station, wherein the correction coefficient is mainly temporarily adjusted in emergency, and the value is 1.0 under the normal operation condition;
The automatic control carbon source dosing system is shown in fig. 2, and mainly comprises an on-line monitoring instrument, a Programmable Logic Controller (PLC), an intelligent dosing control center module (built-in multi-parameter calculation model software), a variable frequency metering pump and a remote transmission module, wherein the PLC is used for collecting real-time data of the on-line monitoring instrument and transmitting the data to the intelligent dosing control center, a carbon source dosing theoretical dosing output model (namely a carbon source dosing theoretical dosing rate output model) of the control center can calculate real-time optimal dosing amount according to the real-time monitoring data and output the real-time optimal dosing amount in a metering pump operation frequency mode, and the estimated operation frequency is downloaded to the variable frequency metering pump through the PLC to realize dynamic adjustment of the metering pump.
The automatic control carbon source adding system can reduce the total nitrogen exceeding standard of the effluent caused by manual adding errors, and can reduce the adding amount of methanol by 10 percent, the methanol in the sewage plant mainly adopts a manual control adding mode, the operation cost of methanol adding is about 300 ten thousand yuan each year, and the operation cost can be saved by about 30 ten thousand yuan each year for the pharmaceutical sewage plant after the control carbon source adding system is adopted.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (7)
1. An automated control carbon source dosing system, comprising:
the monitoring module is used for monitoring water quality parameters in real time, wherein the water quality parameters comprise nitrate concentration, dissolved oxygen concentration and inflow water flow;
the controller module is used for collecting real-time data of the monitoring module and transmitting the data;
The intelligent dosing control center module is used for receiving the data transmitted by the controller module, calculating the real-time optimal dosing amount through a carbon source dosing theory dosing output model and transmitting the real-time optimal dosing amount back to the controller module;
the dosing module is used for adjusting dosing according to the instruction downloaded by the controller module;
and the remote transmission module is used for transmitting the data and the instructions.
2. The automated control carbon source dosing system of claim 1, wherein the monitoring module is an on-line monitoring instrument.
3. The automated control carbon source dosing system of claim 1, wherein the nitrate concentration comprises an anoxic tank influent nitrate concentration, a reflux nitrifying liquid nitrate concentration, and a secondary sedimentation tank reflux sludge carried nitrate concentration.
4. The automated carbon source dosing system of claim 1, wherein the controller module is a programmable logic controller.
5. The automated control carbon source dosing system of claim 4, wherein the carbon source dosing theory dosing output model is as shown in formula 1:
M＝[(β1×DO+NO1×(1/(1+r+R))+NO2×(r/(1+r+R))+NO3×(R/(1+r+R)))
×β2-SCOD]×Q×β3；(1)
wherein M is the operating frequency of a methanol carbon source dosing pump required by denitrification and Hz; NO 1 is the nitrate concentration of the inlet water of the anoxic tank, mg/L; NO 2 is the nitrate concentration of the reflux nitrifying liquid, and mg/L; NO 3 is the concentration of nitrate carried by the secondary sedimentation tank return sludge, mg/L; r is internal reflux multiple; r is external reflux multiple; SCOD is the analog quantity of anaerobic inflow SCOD, mg/L; q is water inflow, and m 3/h;β1 is conversion coefficient of dissolved oxygen and nitrate radical; beta 2 is the conversion coefficient of nitrate and COD; beta 3 is the conversion coefficient of SCOD required concentration and the operating frequency of the methanol dosing pump.
6. The automated carbon source control dosing system of claim 5, wherein the dosing module is a variable frequency dosing pump, the intelligent dosing control center module calculates the real-time optimal dosing amount and outputs the optimal dosing amount in a manner of the operating frequency of the dosing pump, and the operating frequency is downloaded to the variable frequency dosing pump through the controller module to realize dynamic adjustment of the dosing pump.
7. An automated control carbon source adding method, characterized in that the automated control carbon source adding system according to any one of claims 1 to 6 is adopted, comprising the following steps:
(1) Nitrate on-line monitoring instruments are arranged at the water inlet of the anoxic tank, the water outlet of the aerobic tank and the water outlet of the secondary sedimentation tank, and the nitrate concentration is monitored in real time;
(2) Based on actual operation data, a theoretical model is established to predict the carbon source demand of the biological pool, multistage parameters are set for feedback correction, correction coefficients are set to introduce manual regulation when necessary, and a final carbon source dosing theoretical dosing rate output model is ：M＝[(β1×DO+NO1×(1/(1+r+R))+NO2×(r/(1+r+R))+NO3×(R/(1+r+R)))×β2-SCOD]×Q×β3;(1)
Wherein M is the operating frequency of a methanol carbon source dosing pump required by denitrification and Hz; NO 1 is the nitrate concentration of the inlet water of the anoxic tank, mg/L; NO 2 is the nitrate concentration of the reflux nitrifying liquid, and mg/L; NO 3 is the concentration of nitrate carried by the secondary sedimentation tank return sludge, mg/L; r is internal reflux multiple; r is external reflux multiple; SCOD is the analog quantity of anaerobic inflow SCOD, mg/L; q is water inflow, and m 3/h;β1 is conversion coefficient of dissolved oxygen and nitrate radical; beta 2 is the conversion coefficient of nitrate and COD; beta 3 is the conversion coefficient of SCOD required concentration and the operating frequency of the methanol dosing pump;
(3) Real-time data of an on-line monitoring instrument through a programmable logic controller are transmitted to an intelligent dosing control center, a carbon source dosing theory dosing rate output model of the control center calculates real-time optimal dosing amount according to the real-time monitoring data and outputs the real-time optimal dosing amount in a metering pump operation frequency mode, and the estimated operation frequency is downloaded to a variable-frequency metering pump through the programmable logic controller to realize dynamic adjustment of the metering pump.
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