CN114677119A - Intelligent aeration method and system for sewage treatment - Google Patents
Intelligent aeration method and system for sewage treatment Download PDFInfo
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- 238000005273 aeration Methods 0.000 title claims abstract description 84
- 239000010865 sewage Substances 0.000 title claims abstract description 43
- 238000000034 method Methods 0.000 title claims abstract description 36
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 57
- 239000001301 oxygen Substances 0.000 claims abstract description 57
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 57
- 238000004364 calculation method Methods 0.000 claims abstract description 48
- 238000012544 monitoring process Methods 0.000 claims abstract description 46
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 9
- 239000010802 sludge Substances 0.000 claims abstract description 9
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 65
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims description 30
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 26
- CVTZKFWZDBJAHE-UHFFFAOYSA-N [N].N Chemical compound [N].N CVTZKFWZDBJAHE-UHFFFAOYSA-N 0.000 claims description 20
- 238000012360 testing method Methods 0.000 claims description 19
- 238000005259 measurement Methods 0.000 claims description 15
- 229910052757 nitrogen Inorganic materials 0.000 claims description 13
- 239000000126 substance Substances 0.000 claims description 11
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- 229910052698 phosphorus Inorganic materials 0.000 claims description 8
- 239000011574 phosphorus Substances 0.000 claims description 8
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- 239000002028 Biomass Substances 0.000 claims description 2
- MMDJDBSEMBIJBB-UHFFFAOYSA-N [O-][N+]([O-])=O.[O-][N+]([O-])=O.[O-][N+]([O-])=O.[NH6+3] Chemical compound [O-][N+]([O-])=O.[O-][N+]([O-])=O.[O-][N+]([O-])=O.[NH6+3] MMDJDBSEMBIJBB-UHFFFAOYSA-N 0.000 claims description 2
- 230000001580 bacterial effect Effects 0.000 claims description 2
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Abstract
The invention discloses an intelligent aeration method and system for sewage treatment, which comprises the following steps: s1: acquiring current monitoring data, and cleaning and repairing the monitoring data; s2: according to the monitoring data obtained by S1, based on a decision support system established by an activated sludge mathematical model and the data of the effluent quality, obtaining a dissolved oxygen target value of an aerobic zone, the air flow of a branch pipe in an aeration tank, the opening of an air pipeline valve of the aerobic zone and the start-stop state and power of an air blower by an analysis and calculation method; s3: adjusting the aeration system according to the calculation result of S2, and acquiring the adjusted monitoring data; s4: learning from S1 to S3 by a gradient descent method, feeding back to S1, and repeating from S1 to S4 to correct the error. The invention applies the intelligent technology to the online process control and operation optimization of the aeration system in the sewage biochemical treatment process, solves the intelligent operation and maintenance technology of the sewage treatment core process section based on the mechanism and algorithm model, and solves the problem of accurately controlling the aeration of the aerobic biological tank.
Description
Technical Field
The invention relates to the technical field of sewage treatment, in particular to a method and a system for intelligent aeration of sewage treatment.
Background
The traditional aeration system for the biological tank of the sewage plant excessively depends on the experience of technicians and manual operation, and the problems of low operation management level, shortage of professionals and the like exist in many areas, so that the aeration quantity of the biological tank cannot be timely and effectively adjusted, the effluent quality of the sewage plant is difficult to guarantee, and the benefit is difficult to realize. The quality and quantity of inlet water of sewage plant are changed from moment to moment, so the oxygen demand is changed within a certain time range.
At present, most sewage plants adopt manual adjustment for aeration amount, and because the execution of the first-level A standard of the emission standard, operating personnel often adopt an excessive aeration method for ensuring that the water quality reaches the standard, the method can not only lead to the great increase of electricity consumption and the waste of electric energy, but also lead to the high dissolved oxygen of reflux digestive juice, destroy the anoxic environment of an anoxic zone, reduce the total nitrogen removal effect, and lead to the increase of the carbon source adding amount.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent aeration method and system for sewage treatment, so as to solve the problems that in the prior art, excessive aeration causes great increase of power consumption, high dissolved oxygen of reflux digestive juice, damage of anoxic environment in an anoxic zone, reduction of total nitrogen removal effect and increase of carbon source adding amount.
In order to solve the technical problems, the invention adopts the following technical scheme:
a sewage treatment intelligent aeration method comprises the following steps:
s1: acquiring current monitoring data, and cleaning and repairing the monitoring data; the monitoring data comprises chemical oxygen demand of inlet water, ammonia nitrogen of inlet water, total phosphorus of inlet water, dissolved oxygen in an aerobic zone, ammonia nitrogen of outlet water, air flow of branch pipes in an aeration tank, opening of an air pipeline valve of the aerobic zone, start-stop state of an air blower and power of the air blower;
s2: according to the monitoring data obtained by S1, based on a decision support system established by an activated sludge mathematical model of ASM2D and the ammonia nitrogen value, the chemical oxygen demand, the total nitrogen and the total phosphorus of the effluent water quality, obtaining a dissolved oxygen target value of an aerobic zone, the air flow of a branch pipe in an aeration tank, the opening of an air pipeline valve of the aerobic zone and the start-stop state and power of an air blower by an analysis calculation method;
s3: adjusting the aeration system according to the calculation result of S2, and acquiring the adjusted monitoring data;
s4: learning from S1 to S3 by a gradient descent method, feeding back to S1, and repeating from S1 to S4 to correct the error.
The invention also provides a sewage treatment intelligent aeration system which comprises a data acquisition module, a blower air supply amount and air supply pressure calculation module, a biological pond aerobic zone dissolved oxygen calculation module, an air supply pipeline valve opening calculation module, a data storage module and an aeration control module; the data acquisition module is used for acquiring and collecting monitoring data, and cleaning and repairing the monitoring data; the air supply quantity and air supply pressure calculation module of the air blower is used for calculating the total air supply pressure and the total air supply quantity which are required to be provided for the aeration pipe by the air blower; the biological tank aerobic zone dissolved oxygen calculation module is used for calculating a target value of dissolved oxygen in the biological tank aerobic zone; the air supply pipeline valve opening degree calculation module is used for calculating the opening degree of an air supply pipeline valve; the data storage module is used for storing the acquired monitoring data, the calculation results of each module and the acquired monitoring data after adjustment; the aeration control module is used for acquiring the calculation results of the air supply quantity and air supply pressure calculation module of the air blower, the dissolved oxygen calculation module of the aerobic zone of the biological pond and the valve opening calculation module of the air supply pipeline, and controlling and adjusting the aeration device according to the calculation results.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention adopts an intelligent accurate aeration control system of a biological pool, which takes DO as a main control signal system and is coordinated with feed-forward of water inlet, feedback of water outlet and ASM mechanism mathematical model, to clean and repair the online data of the sewage detection equipment, and couples the data import of the digital analogy based on expert experience algorithm, upgrades the core process from the experience judgment highly dependent on workers to the refined and intelligent management, integrates the mechanism model, the experience model and the expert knowledge, realizes the accurate aeration, the optimized control and the stable standard reaching of the water quality and season, thereby fundamentally updating the sewage treatment quality control means.
2. According to the invention, the aeration quantity is saved through accurate aeration, so that the aeration power consumption is reduced, the accurate aeration suitable for water quality and seasons is realized, the sewage treatment quality control means is fundamentally updated, the water quality target is ensured, the energy is saved, the consumption is reduced, and the technical innovation and the energy efficiency management upgrading of the sewage treatment industry are greatly improved.
Drawings
FIG. 1 is a data flow diagram of the method of the present invention.
Fig. 2 is a working principle diagram of the present invention.
FIG. 3 shows comparative example of electricity consumption of biological cells before and after the implementation of the system in the plant.
Detailed Description
The invention will be further explained with reference to the drawings and examples.
Intelligent aeration method for sewage treatment
S1: and the aeration control system acquires the current monitoring data and cleans and repairs the monitoring data. The monitoring data comprises chemical oxygen demand of inlet water, ammonia nitrogen of inlet water, total phosphorus of inlet water, dissolved oxygen in an aerobic zone, ammonia nitrogen of outlet water, air flow of branch pipes in the aeration tank, opening degree of an air pipeline valve of the aerobic zone, start-stop state of an air blower and power of the air blower.
And acquiring PLC real-time monitoring data through a protocol, and simultaneously carrying out data cleaning and repairing on line. The PLC real-time monitoring data is accessed through a modbus-tcp protocol or an opcserver. The acquired monitoring data is cleaned, repeated data in the acquired monitoring data is deleted, and the collected abnormal monitoring data is repaired, for example, a numerical value which is obviously abnormal for one monitoring data in the monitoring data is obviously not caused by system faults, so that the abnormal data is repaired, and the abnormal numerical value is adjusted to be within a normal range. The monitoring data comprises inflow Q, inflow COD, inflow ammonia nitrogen, inflow TN, inflow TP, aerobic zone DO, liquid level, MLSS, water temperature, outflow ammonia nitrogen, valve opening, valve state, pressure, branch pipe air flow, main pipe flow, blower starting and stopping state, blower frequency (or guide vane opening), outflow ammonia nitrogen and outflow COD.
S2: and analyzing and calculating to obtain a dissolved oxygen content target value of an aerobic zone, air flow of a branch pipe in an aeration tank, opening of an air pipeline valve of the aerobic zone, and start-stop state and power of an air blower based on a decision support system established by an activated sludge mathematical model of ASM2D and the ammonia nitrogen value, the chemical oxygen demand, the total nitrogen and the total phosphorus of effluent water quality according to the monitoring data obtained by S1.
In specific implementation, the method is realized by the following steps:
in one embodiment, the target value of the dissolved oxygen in the aerobic zone is obtained by combining the online detected water inflow rate, water inflow chemical oxygen demand, water inflow total nitrogen, water inflow ammonia nitrogen and water inflow total phosphorus data with the design parameters and the operation parameters of a sewage plant and performing aeration control simulation optimization through an activated sludge model. Specifically, the target value of the dissolved oxygen in the aerobic zone is obtained by establishing a mathematical simulation model decision support system through an ASM activated sludge model ASM2D issued by International Water agency according to design parameters and operation parameters of a sewage plant and coupling the system with water inlet online data.
In another embodiment, the aerobic zone dissolved oxygen target (DO)Is provided with) Dissolved Oxygen (DO) measurements obtained from on-line measurementsMeasuring) Ammonia nitrogen value (C) of online effluent quality of biological tankAmmonia nitrogen e test) And chemical oxygen demand value (C)CODE measurement) Feedback calculation is obtained, and a specific calculation algorithm is as follows:
when Cmin≤CAmmonia nitrogen e test≤Cmax(wherein, CminThe value is 1mg/L, CmaxTaking the ammonia nitrogen safety control standard value as 2.0mg/L),
and when Ccodmin≤CCODE measurement≤Ccodmax(wherein CminThe value is 30mg/L, CcodmaxTaking the internal control standard value of COD),
or when CAmmonia nitrogen e test≤Cmin，Ccodmin≤CCODE measurement≤Ccodmax；CCODE measurement≤Ccodmin，Cmin≤CAmmonia nitrogen e test≤CmaxWhen the utility model is used, the water is discharged,
wherein: DOIs provided withThe minimum is 1.2mg/L, and the maximum is 2.2 mg/L;
when CAmmonia nitrogen e test≤CAmmonia nitrogen min，CCODE measurement≤Ccodmin(wherein CminThe value is 1 mg/L; ccodminThe value is 30mg/L),
wherein, DOIs provided withSetting a lower limit guard value, DOIs provided withLower limit protection value of 1.0mg/L, DOIs provided withThe value range is 1.1 mg/L-1.8 mg/L;
③Cmax≤Cammonia nitrogen e test≤C1maxOr CCODE measurement≥CcodmaxWhen the current is over; (C)1maxThe value is the ammonia nitrogen value of the water discharged by the internal control, and the value is 3mg/L)
DOIs provided with＝DOMeasuring+ 0.1; wherein, DOIs provided withSetting the upper limit protection value to be 2.5;
④C1max≤Cammonia nitrogen e test≤C2maxWherein, C2maxThe value is the ammonia nitrogen concentration which is greater than the internal control standard and less than the discharge standard, and the value is set to be 4.0 mg/L;
DOis provided with＝DOMeasuring+ 0.5; wherein, DOIs provided withSetting an upper limit protection value to be 5;
⑤C2max≤Cammonia nitrogen e test≤C3maxWherein, C3maxThe value is the ammonia nitrogen concentration of the emission standard;
DOis provided with＝DOMeasuring+1.0, wherein, DOIs provided withSetting an upper limit protection value to 7;
⑥Cammonia nitrogen e test＞C3maxWherein, C3maxThe value is the ammonia nitrogen concentration of the emission standard;
DOis provided with＝DOSide survey+2.0。
After the target value of the dissolved oxygen in the aerobic zone is calculated and obtained by the method, the opening of the valve of the air pipeline in the aerobic zone is obtained, and the opening of the valve of the air pipeline in the aerobic zone is obtained by the following method:
when DO is presentIs provided with-n≤DOSide survey≤DOIs provided withWhen + n, the valve of the air pipeline in the aerobic zone does not act; wherein, the DOMeasuringThe value is the current real-time dissolved oxygen monitoring value;
when DO is presentMeasuring＞DOIs provided withAnd n, when the aerobic zone air pipeline valve acts in the closing direction all the time, the opening degree of the aerobic zone air pipeline valve is closed by 0.5%, wherein the minimum action opening degree is 0.2%, and when the valve acts towards the closing direction all the time, the minimum opening degree protection limit value of the valve is set, and is determined according to the relation curve of the valve opening degree and the flow rate, and is generally 5% -10%.
When DO is presentMeasuring＜DOIs provided withN, the opening degree of the group of valves is 0.5% per action; wherein, the minimum action opening is 0.2%, when the valve always acts towards the opening direction, the maximum opening protection limit value of the valve is set, which is determined according to the relationship curve between the valve opening and the flow provided by the valve manufacturer, and is generally 80-90%.
In the calculation method, n is set as an adjustable value, and is adjusted in the system debugging process according to the control precision and the valve quality, wherein the range is 0.1-0.5, and preferably 0.2.
The air flow of the branch pipe in the aeration tank is obtained by the following calculation:
Q0＝0.001aQ(So-Se)-cΔXv+b[0.001Q(Nk-Nke)-0.12ΔXv]-0.62b[0.001Q(Nt-Nke-Noe)-0.12ΔXv]；
wherein Q is0Oxygen demand for wastewater (kgO)2D); q is the water inlet flow (m) of the biological pond3/d)；SoBOD (mg/L) of inlet water of the biological pond; seBOD (mg/L) of the effluent of the biological pond; Δ XvBiomass (kg/d) discharged from the biological pond; n is a radical ofkThe total Kjeldahl nitrogen (mg/L) of the inlet water of the biological pond; n is a radical ofkeThe total Kjeldahl nitrogen (mg/L) of the effluent of the biological pond; n is a radical oftTotal nitrogen (mg/L) for the biological pond inlet water; n is a radical ofoeNitrate nitrogen (mg/L) of the effluent of the biological pond; a is the oxygen equivalent of carbon when the carbonaceous material is BOD5Timing, and taking 1.47; b is constant, the amount of oxygen required for oxidizing each kilogram of ammonia nitrogen (kgO)2/kgN), 4.57 is taken; c is constant, oxygen equivalent of bacterial cell, taken as 1.42.
The action of the blower is obtained by the following method:
1) calculating the air supply pressure:
P＝h1+h2+h3+h4+h5；
wherein: p is the total calculated value of the gas supply pressure of the aeration pipe, h1For on-way resistance loss of the pipeline, h2For local resistance loss of the pipeline, h3The depth of water in which the aeration head is positioned, h4Loss of aeration head, h5A safety margin;
2)Pneed toValue, PNeed toTo require the total supply air pressure to the aeration tubes:
obtaining P by two methodsNeed to：
a) The P value is used directly;
or b) checking and calculating according to the air quantity to obtain a P value which is PNeed to；
The air quantity checking calculation method comprises the following steps: when the valve opening degree is increased for 2 times continuously and the branch pipeline air volume is not increased (checking according to the air volume corresponding to the opening degree of 1%), or when the valve opening degree is maximized (the valve opening degree is 93%), P is carried out at the momentNeed toAn increase of 1kPa is required, when the valve opening reaches a minimum opening (5% valve opening), the measured DO is still higher than the set DO value, and the post-valve air flow rate continues to increase, at which time PNeed toA reduction of 1kPa is required.
According to the above calculation method, on the premise that at least two blowers are installed, the operation of the blowers specifically includes the following steps:
when P is presentRequire min≤PMeasuring≤PNeed maxIn time, the blower keeps the original guide vane opening and frequency running, PMeasuringFor monitoring wind pressure of wind pipeValue, PRequire minThe required wind pressure value is reduced by 0.3mbar, PNeed maxAdding 0.3mbar to the required wind pressure value;
when P is presentMeasuring＜PRequire minFirstly opening guide vanes by the air blower, increasing the corresponding opening degree of the guide vanes by judging each time, and judging once every 5 min; when the opening degree of the guide vane reaches the maximum, feeding back a signal, judging for 10min, and if the opening degree of the guide vane is still PMeasuring＜PRequire minStarting another blower;
when P isMeasuring＞PNeed maxWhen the opening degree of the guide vane of 1 air blower is closed, the corresponding opening degree is judged to be closed every time, the judgment is carried out for 1 time every 5min, when the opening degree of the guide vane reaches the minimum, a signal is fed back, the judgment is carried out for 10min again, and if the opening degree is still PMeasuring＞PNeed maxIf yes, 1 blower is turned off;
the on-off of the blower is controlled through Ethernet.
S3: and adjusting the aeration system according to the calculation result of S2, and acquiring the adjusted monitoring data.
S4: and (4) learning S1-S3 by using a gradient descent method, and feeding back the learning result to an activated sludge mathematical model to correct the learning result.
During specific implementation, gradient descent deep learning model training is carried out on a large amount of water inlet flow Q, water inlet COD, water inlet TN, water inlet ammonia nitrogen, water outlet ammonia nitrogen and air volume data accumulated in the steps, the model is continuously optimized and adjusted, and finally the algorithm adopted by the method is reacted, so that the algorithm adopted by the method can be optimally operated. The deep learning adopts a lightweight gradient hoist machine learning boosting (GBDT) algorithm framework to predict the air supply quantity and is used for carrying out the air quantity control of the blower after the deep learning. GBDT is a decision tree based model, the main idea is to use a weak classifier (decision tree) for iterative training to get an optimal model. The error is measured by MAE, and the formula is:
where n is the number of data in the dataset, y and
representing the predicted value and the true value of the model;
when the absolute error is less than 10%, the air volume control of the blower is adjusted to machine learning control; and when the absolute error is more than or equal to 10%, adjusting the air volume of the blower into mechanism model control.
Secondly, sewage treatment intelligent aeration system
The intelligent aeration system for sewage treatment comprises a data acquisition module, a calculating module for air supply quantity and air supply pressure of a blower, a calculating module for dissolved oxygen in an aerobic zone of a biological pond, a calculating module for valve opening of an air supply pipeline, a data storage module and an aeration control module. The data acquisition module is used for acquiring and collecting monitoring data and cleaning and repairing the monitoring data. And the air supply amount and air supply pressure calculation module of the air blower is used for calculating the total air supply pressure and the total air supply amount required to be supplied to the aeration pipe by the air blower. And the dissolved oxygen calculation module of the aerobic zone of the biological tank is used for calculating the target value of the dissolved oxygen of the aerobic zone of the biological tank. And the air supply pipeline valve opening degree calculation module is used for calculating the valve opening degree of the air supply pipeline. The data storage module is used for storing the collected monitoring data, the calculation results of all the modules and the collected monitoring data after adjustment. The aeration control module is used for acquiring the calculation results of the air supply quantity and air supply pressure calculation module of the air blower, the dissolved oxygen calculation module of the aerobic zone of the biological pond and the valve opening calculation module of the air supply pipeline, and controlling and adjusting the aeration device according to the calculation results. The aeration control module controls and adjusts the starting and stopping of the air blower according to the air supply quantity and air supply pressure calculation module of the air blower, and controls the opening degree of the air supply pipeline valve according to the calculation and analysis results of the dissolved oxygen calculation module in the aerobic zone of the biological pond and the opening degree calculation module of the air supply pipeline valve.
The invention adopts an intelligent accurate aeration control system of a biological pool, which takes DO as a main control signal system and is coordinated with feed-forward of water inlet, feedback of water outlet and ASM mechanism mathematical model, to clean and repair the online data of the sewage detection equipment, and couples the data import of the digital analogy based on expert experience algorithm, upgrades the core process from the experience judgment highly dependent on workers to the refined and intelligent management, integrates the mechanism model, the experience model and the expert knowledge, realizes the accurate aeration, the optimized control and the stable standard reaching of the water quality and season, thereby fundamentally updating the sewage treatment quality control means.
The invention automatically calculates the dissolved oxygen control target value of the aerobic zone according to the parameters of the water quality, water quantity, water temperature, sludge concentration and the like of inlet water, and completes accurate air supply control according to the target value, thereby saving aeration quantity through accurate aeration, reducing aeration power consumption, realizing accurate aeration suitable for water quality and seasons, fundamentally updating a sewage treatment quality control means, ensuring the water quality target, saving energy, reducing consumption, and greatly promoting technical innovation and energy efficiency management upgrading of the sewage treatment industry.
Third, example
In the Chongqing sewage plant of 40 million tons at the end of 2019, the transformation of an accurate aeration system is completed according to the method, and according to the operation data analysis of the sewage plant in 10 months from 2018 to 2021 in 9 months, the electricity consumption of the biological batteries in 10 months from 2018 to 2019 in 9 months can be calculated to be 0.1180KWh/m3The electricity consumption of the biological battery is 0.0850KWh/m3 from 10 months to 2020 months in 2019 and 0.0854KWh/m in from 10 months to 2021 months in 2020 and 9 months3. Fig. 3 is a comparative example of electricity consumption of the biological pool before and after the system is implemented in the plant, and it can be seen from fig. 3 that after the method of the present invention is adopted, the electricity consumption of the biological pool in the sewage plant is significantly reduced, the method of the present invention realizes the supply of the sewage as required, reduces the aeration electricity consumption of the biological pool in the sewage plant by more than 15%, actually measures that the dissolved oxygen at the tail end of the aerobic pool is 3-7 mg/L before the modification, controls the dissolved oxygen at the tail end of the aerobic area to be 0.8-1.5 mg/L after the modification, and takes the average reduction amount of the dissolved oxygen of the internal reflux to be 3.5-1.0-2.5 mg/L, and because the dissolved oxygen brought to the anoxic area by the internal reflux needs to consume a carbon source, the consumption amount is reduced: the reflux ratio was 300%, calculated as sodium acetate, 151290057 (water amount) × 3 × 2.5 ÷ 0.78(1g sodium acetate equals 0.78g cod) ÷ 1000000 ═ 1454.7 tons, and the carbon source dosage was saved by 1454.7 tons per year. Therefore, the method reduces the frequent operation of the aeration control chamber, realizes intelligent aeration control and reduces the number of operators4 workers in the aeration control room turn the post to realize the intelligent operation of the aeration of the biological pond.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the technical solutions, and those skilled in the art should understand that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all that should be covered by the claims of the present invention.
Claims (10)
1. The intelligent aeration method for sewage treatment is characterized by comprising the following steps:
s1: acquiring current monitoring data, and cleaning and repairing the monitoring data; the monitoring data comprises chemical oxygen demand of inlet water, ammonia nitrogen of inlet water, total phosphorus of inlet water, dissolved oxygen of an aerobic zone, ammonia nitrogen of outlet water, air flow of branch pipes in an aeration tank, opening of an air pipeline valve of the aerobic zone, starting and stopping states of an air blower and power of the air blower;
s2: according to the monitoring data obtained by S1, based on a decision support system established by an activated sludge mathematical model of ASM2D and the ammonia nitrogen value, the chemical oxygen demand, the total nitrogen and the total phosphorus of the effluent water quality, obtaining a dissolved oxygen content target value of an aerobic zone, the air flow of a branch pipe in an aeration tank, the opening of an air pipeline valve of the aerobic zone and the start-stop state and power of an air blower by an analysis and calculation method;
s3: adjusting the aeration system according to the calculation result of S2, and acquiring the adjusted monitoring data;
s4: learning from S1 to S3 by a gradient descent method, feeding back to S1, and repeating from S1 to S4 to correct the error.
2. The intelligent sewage treatment aeration method according to claim 1, wherein in S1, PLC real-time monitoring data is accessed through modbus-tcp protocol or opcserver.
3. The intelligent sewage treatment aeration method according to claim 1, wherein the monitoring data further includes a water inflow rate, an aeration tank liquid level, a mixed liquid suspended solids concentration, and a branch pipe air pressure in the aeration tank at S1.
4. The intelligent aeration method for sewage treatment according to claim 1, wherein in S2, the target value of dissolved oxygen in aerobic zone is determined by on-line detection of water inflow, chemical oxygen demand of water inflow, total nitrogen of water inflow, ammonia nitrogen of water inflow, and total phosphorus of water inflow, and by combining sewage plant design parameters and operation parameters, and by performing aeration control simulation optimization through an activated sludge model, the optimal target value of dissolved oxygen in aerobic tank is obtained.
5. The intelligent aeration method for sewage treatment according to claim 1, wherein in S2, the dissolved oxygen target value (DO) of the aerobic zoneIs provided with) Dissolved Oxygen (DO) measurement obtained from on-line measurementsSide survey) And the ammonia nitrogen value (C) of the online effluent quality of the biological pondAmmonia nitrogen e test) And chemical oxygen demand value (C)CODE measurement) Feedback calculation is obtained, and a specific calculation algorithm is as follows:
when Cmin≤CAmmonia nitrogen e test≤Cmax(wherein, CminThe value is 1mg/L, CmaxTaking the ammonia nitrogen safety control standard value as 2.0mg/L),
and when Ccodmin≤CCODE measurement≤Ccodmax(wherein CcodminThe value is 30mg/L, CcodmaxTaking the internal control standard value of chemical oxygen demand),
or when CAmmonia nitrogen e test≤Cmin，Ccodmin≤CCODE test≤Ccodmax；CCODE measurement≤Ccodmin，Cmin≤CAmmonia nitrogen e test≤CmaxWhen the temperature of the water is higher than the set temperature,
wherein: DOIs provided withThe minimum is 1.2mg/L, and the maximum is 2.2 mg/L;
when CAmmonia nitrogen e test≤CAmmonia nitrogen min，CCODE measurement≤Ccodmin(wherein CminThe value is 1 mg/L; ccodminThe value is 30mg/L),
wherein, DOIs provided withSetting a lower limit guard value, DOIs provided withLower limit protection value of 1.0mg/L, DOIs provided withThe value range is 1.1 mg/L-1.8 mg/L;
③Cmax≤Cammonia nitrogen e test≤C1maxOr CCODE measurement≥CcodmaxWhen the current is over; (C)1maxThe value is the ammonia nitrogen value of the water discharged by the internal control, and the value is 3mg/L)
DOIs provided with＝DOMeasuring+ 0.1; wherein, DOIs provided withSetting the upper limit protection value to be 2.5;
④C1max≤Cammonia nitrogen e test≤C2maxWherein, C2maxSetting the value as 4.0mg/L, wherein the value is the ammonia nitrogen concentration which is greater than the internal control standard and less than the discharge standard;
DOis provided with＝DOMeasuring+ 0.5; wherein, DOIs provided withSetting an upper limit protection value to be 5;
⑤C2max≤Cammonia nitrogen e test≤C3maxWherein, C3maxThe value is the ammonia nitrogen concentration of the emission standard;
DOis provided with＝DOMeasuring+1.0, wherein, DOIs provided withSetting an upper limit protection value to 7;
⑥Cammonia nitrogen e test＞C3maxWherein, C3maxThe value is the ammonia nitrogen concentration of the emission standard;
DOis provided with＝DOSide survey+2.0。
6. The intelligent sewage treatment aeration method according to claim 1, wherein in S2, the opening degree of the aerobic zone air pipeline valve is obtained by:
when DO is presentIs provided with-n≤DOMeasuring≤DOIs provided withWhen n is greater than n, the valve of the air pipeline of the aerobic zone does not act;
when DO is presentSide survey＞DOIs provided withWhen n is greater than n, the opening degree of the air pipeline valve of the aerobic zone is closed by 0.5% in each action;
when DO is presentSide survey＜DOIs provided withN, the opening degree of the group of valves is 0.5% per action;
wherein n is in the range of 0.1 to 0.5, and DO isMeasuringThe value is the current real-time DO monitoring value.
7. The intelligent sewage treatment aeration method according to claim 1, wherein in S2, the air flow rate of the branch pipes in the aeration tank is obtained by calculating:
Q0＝0.001aQ(So-Se)-cΔXv+b[0.001Q(Nk-Nke)-0.12ΔXv]-0.62b[0.001Q(Nt-Nke-Noe)-0.12ΔXv]；
wherein Q0Oxygen demand for wastewater (kgO)2D); q is the water inlet flow (m) of the biological pond3/d)；SoBOD (mg/L) of inlet water of the biological pond; seBOD (mg/L) of the effluent of the biological pond; Δ XvBiomass (kg/d) discharged from the biological pond; n is a radical of hydrogenkThe total Kjeldahl nitrogen (mg/L) of the inlet water of the biological pond; n is a radical ofkeIs total Kjeldahl nitrogen (mg/L) of effluent of the biological pond; n is a radical oftTotal nitrogen (mg/L) for the biological pond inlet water; n is a radical ofoeNitrate nitrogen (mg/L) of the effluent of the biological pond; a is the oxygen equivalent of carbon when the carbonaceous material is BOD5Timing, and taking 1.47; b is constant, the amount of oxygen required for oxidizing each kilogram of ammonia nitrogen (kgO)2/kgN), 4.57 is taken; c is constant, oxygen equivalent of bacterial cell, taken as 1.42.
8. The intelligent sewage treatment aeration method according to claim 1, wherein in S2, the operation of the blower is obtained by:
1) calculating the air supply pressure:
P＝h1+h2+h3+h4+h5；
wherein: p is the total calculated value of the gas supply pressure of the aeration pipe, h1For on-way resistance loss of the pipeline, h2For local resistance loss of the pipeline, h3The depth of water in which the aeration head is positioned h4Loss of aeration head, h5A safety margin;
2)Pneed toValue, PNeed toTo require the total supply air pressure to the aeration tubes:
obtaining P by two methodsNeed to：
a) The P value is directly used;
or b) checking and calculating according to the air quantity, and obtaining a P value which is PNeed to；
According to the above calculation method, on the premise that at least two blowers are installed, the operation of the blowers specifically includes the following steps:
when P is presentRequire min≤PMeasuring≤PNeed maxIn the mean time, the blower keeps the original opening degree and frequency of the guide vane to operate, PSide surveyFor monitoring the air pressure of air duct, PRequire minReduce the required wind pressure by 0.3mbar, PNeed maxAdding 0.3mbar to the required wind pressure value;
when P is presentMeasuring＜PRequire minFirstly opening guide vanes by the air blower, increasing the corresponding opening degree of the guide vanes by judging each time, and judging once every 5 min; when the opening degree of the guide vane reaches the maximum, feeding back a signal, judging for 10min, and if the opening degree of the guide vane is still PSide survey＜PRequire minStarting another blower;
when P is presentSide survey＞PNeed maxWhen the opening degree of the guide vane of 1 air blower is closed, the corresponding opening degree is judged to be closed every time, the judgment is carried out for 1 time every 5min, when the opening degree of the guide vane reaches the minimum, a signal is fed back, the judgment is carried out for 10min again, and if the opening degree is still PMeasuring＞PNeed maxIf yes, 1 blower is closed;
the opening and closing of the blower is controlled through Ethernet.
9. The intelligent sewage treatment aeration method according to claim 1, wherein monitoring data are accumulated through S1-S3, and gradient descent deep learning model training is performed and fed back to S1-S3, and the specific steps are as follows:
the deep learning carries out air supply amount prediction through a gradient Boosting learning Boosting algorithm framework and is used for carrying out air blower amount control after the deep learning; the error is measured by MAE, and the formula is:
where n is the number of data in the dataset, y and
representing the predicted value and the true value of the model;
when the absolute error is less than 10%, the air volume control of the blower is adjusted to machine learning control; and when the absolute error is more than or equal to 10%, adjusting the air volume of the blower into mechanism model control.
10. The intelligent aeration system for sewage treatment is characterized by comprising a data acquisition module, a calculating module for air supply quantity and air supply pressure of a blower, a calculating module for dissolved oxygen in an aerobic zone of a biological pool, a calculating module for the opening of a valve of an air supply pipeline, a data storage module and an aeration control module; the data acquisition module is used for acquiring and collecting monitoring data, and cleaning and repairing the monitoring data; the air supply quantity and air supply pressure calculation module of the air blower is used for calculating the total air supply pressure and the total air supply quantity which are required to be provided for the aeration pipe by the air blower; the biological tank aerobic zone dissolved oxygen calculation module is used for calculating a target value of dissolved oxygen in the biological tank aerobic zone; the gas supply pipeline valve opening calculation module is used for calculating the opening size of the gas supply pipeline valve; the data storage module is used for storing the acquired monitoring data, the calculation results of each module and the acquired monitoring data after adjustment; the aeration control module is used for acquiring the calculation results of the air supply quantity and air supply pressure calculation module of the air blower, the dissolved oxygen calculation module of the aerobic zone of the biological pond and the valve opening calculation module of the air supply pipeline, and controlling and adjusting the aeration device according to the calculation results.
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| CN115259413A (en) * | 2022-07-25 | 2022-11-01 | 苏州水星环保工业系统有限公司 | Air volume control method for precise aeration system |
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