CN110451738B - Efficient sewage treatment system and efficient treatment method thereof - Google Patents

Efficient sewage treatment system and efficient treatment method thereof Download PDF

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CN110451738B
CN110451738B CN201910860864.3A CN201910860864A CN110451738B CN 110451738 B CN110451738 B CN 110451738B CN 201910860864 A CN201910860864 A CN 201910860864A CN 110451738 B CN110451738 B CN 110451738B
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tank
sewage
sensor
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CN110451738A (en
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孙煜皓
杨文郎
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Jianke Yunzhi Shenzhen Technology Co ltd
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Jianke Yunzhi Shenzhen Technology Co ltd
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    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F9/00Multistage treatment of water, waste water or sewage
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F1/00Treatment of water, waste water, or sewage
    • C02F1/001Processes for the treatment of water whereby the filtration technique is of importance
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F1/00Treatment of water, waste water, or sewage
    • C02F1/02Treatment of water, waste water, or sewage by heating
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F1/00Treatment of water, waste water, or sewage
    • C02F1/24Treatment of water, waste water, or sewage by flotation
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F1/00Treatment of water, waste water, or sewage
    • C02F1/28Treatment of water, waste water, or sewage by sorption
    • C02F1/281Treatment of water, waste water, or sewage by sorption using inorganic sorbents
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F1/00Treatment of water, waste water, or sewage
    • C02F1/30Treatment of water, waste water, or sewage by irradiation
    • C02F1/32Treatment of water, waste water, or sewage by irradiation with ultraviolet light
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2101/00Nature of the contaminant
    • C02F2101/10Inorganic compounds
    • C02F2101/16Nitrogen compounds, e.g. ammonia
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2303/00Specific treatment goals
    • C02F2303/04Disinfection
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F3/00Biological treatment of water, waste water, or sewage
    • C02F3/30Aerobic and anaerobic processes

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  • Life Sciences & Earth Sciences (AREA)
  • Hydrology & Water Resources (AREA)
  • Engineering & Computer Science (AREA)
  • Environmental & Geological Engineering (AREA)
  • Water Supply & Treatment (AREA)
  • Chemical & Material Sciences (AREA)
  • Organic Chemistry (AREA)
  • Purification Treatments By Anaerobic Or Anaerobic And Aerobic Bacteria Or Animals (AREA)
  • Activated Sludge Processes (AREA)

Abstract

An efficient sewage treatment system and an efficient treatment method thereof are disclosed, wherein the sewage treatment system comprises a regulating tank, an aerobic tank, an anoxic tank, a heating device, a ventilation device, a dosing device, a processor, a controller and one or more sensors; wherein, the sensor is used for being arranged in the aerobic tank and/or the anoxic tank and detecting one or more parameters of the sewage; the processor is used for analyzing and obtaining the activity state of a first type of biological enzyme product in the aerobic tank and/or the activity state of a second type of biological enzyme product in the anoxic tank according to the data of the sensor; the controller is used for controlling sewage treatment parameters of one or more links of the regulating tank, the aerobic tank, the anoxic tank, the ventilation equipment, the heating equipment and the dosing equipment according to the data of the sensor and the activity state obtained by analysis, and the controlled sewage treatment parameters comprise one or more of sewage flow, gas flow, sewage temperature, sewage alkalinity and biological enzyme concentration.

Description

Efficient sewage treatment system and efficient treatment method thereof
Technical Field
The invention relates to the technical field of sewage treatment, in particular to a high-efficiency sewage treatment system and a high-efficiency sewage treatment method.
Background
With the continuous and rapid development of urbanization and industrialization, the water environment in China is seriously damaged and tends to be continuously deteriorated. The sewage discharge not only seriously affects the daily life of residents, but also destroys the ecological balance of the nature. In order to reduce the discharge amount of sewage, sewage treatment plants are established in various parts of the country, however, the problems of overlarge electric energy consumption, high operation cost, secondary pollution caused by byproducts and overproof effluent caused by improper operation control exist in the sewage treatment process for a long time, so that the significance of researching the optimization control of the operation process of the novel sewage treatment process to realize energy conservation and consumption reduction is great, and the method is a necessary development trend of the sewage treatment industry in the future.
Currently, the most common sewage treatment method is mainly an activated sludge process, which is a sewage treatment method for removing organic pollutants in sewage by utilizing the coagulation, adsorption, oxidation, decomposition, precipitation and other actions of activated sludge in sewage. The filler is added into the biochemical pool, the sewage is in wide contact with the microorganisms on the filler, and then the pollutants in the sewage are removed through the metabolism of the microorganisms, so that the sewage is purified. The method has low total decontamination efficiency and long time consumption for sewage treatment, so that the treatment period is integrally prolonged, and the method is not beneficial to the rapid treatment of sewage. In addition, the biological treatment system is only dependent on the decomposition action of microorganisms, has low speed and is not easy to take effect quickly, and has the common problems of easy sludge expansion, poor impact resistance on water quality and water quantity and the like; moreover, the treatment efficiency of the system is closely related to the microbial activity, so that a large amount of excess sludge is inevitably generated in the process of treating sewage by a biological method, and how to treat the excess sludge becomes a new problem.
For example, the activated sludge process has significant problems: the aerobic tank converts ammonia nitrogen into nitrate nitrogen to provide raw materials for the anoxic tank, and simultaneously removes more organic matters, and methanol is additionally added due to lack of carbon sources during denitrification reaction of the anoxic tank, so that COD (chemical oxygen demand) of effluent is easy to exceed the standard, and the medicament cost, sludge yield and sludge treatment cost are also easy to increase.
Generally, the operation cost of the sewage treatment process adopting the microorganisms is relatively low, and carbon circulation and nitrogen circulation of organic matters are really realized; however, the treatment process is complicated, and the operation parameters need to be adjusted according to various factors in different treatment stages to maintain the stability of the living environment of the microorganisms and remove the corresponding organic pollutants, and by-products such as: excess sludge, hydrogen sulfide, nitrous oxide and the like are easy to cause secondary pollution to the environment, and have certain defects.
Disclosure of Invention
The invention mainly solves the technical problem of how to avoid the situation of secondary pollution of byproducts caused by adopting a microbiological method in the existing sewage treatment process. In order to solve the technical problem, the application provides an efficient sewage treatment system and an efficient sewage treatment method.
According to a first aspect, an embodiment provides an efficient wastewater treatment system comprising a conditioning tank, an aerobic tank, an anoxic tank, a heating device, a ventilation device, a dosing device, a processor, a controller, and one or more sensors; the regulating tank is used for receiving sewage generated in the production process of the production equipment and regulating the sewage quantity and the sewage quality; the aerobic tank is used for receiving the sewage from the regulating tank and carrying out aerobic catalytic reaction treatment on the sewage through a preset first type of biological enzyme product; the anoxic tank is used for receiving sewage from the aerobic tank and carrying out anaerobic catalytic reaction treatment on the sewage through a preset second type biological enzyme product; the heating equipment is used for respectively heating the sewage in the aerobic tank and the anoxic tank so as to ensure that the temperature of the sewage in the aerobic tank and the anoxic tank respectively reaches the temperature required by the activity of the first class of biological enzyme products and the second class of biological enzyme products; the ventilation equipment is used for respectively adjusting the gas flow of the aerobic tank and the anoxic tank; the dosing equipment is used for dosing at the inlet end of the aerobic tank and regulating the alkalinity of the sewage; the sensor is used for being arranged in the aerobic tank and/or the anoxic tank and detecting one or more parameters of the sewage; the processor is used for analyzing and obtaining the activity state of a first type of biological enzyme product in the aerobic tank and/or the activity state of a second type of biological enzyme product in the anoxic tank according to the data of the sensor; the controller is connected with the processor and is used for controlling sewage treatment parameters of one or more links of the regulating tank, the aerobic tank, the anoxic tank, the ventilation equipment, the heating equipment and the dosing equipment according to the data of the sensor and the activity state obtained by analysis, and the controlled sewage treatment parameters comprise one or more of sewage flow, gas flow, sewage temperature, sewage alkalinity and biological enzyme concentration.
The sewage treatment system also comprises an air floatation device, a hydrolysis acidification tank, a sludge concentration tank, a sludge dehydration room, a lime filter tank, a back flush device and a disinfection tank; the air floatation equipment is used for receiving the sewage flowing out of the regulating tank and separating suspended matters in the sewage in a coagulation, sedimentation and air floatation mode; the hydrolysis acidification tank is used for receiving the sewage flowing out of the air floatation equipment and hydrolyzing and acidifying the sewage by using microorganisms in the activated sludge; the sludge concentration tank is used for receiving the activated sludge transmitted from the hydrolysis acidification tank and settling, concentrating and carrying out anaerobic digestion on the activated sludge; the sludge dewatering room is used for receiving the activated sludge transmitted from the sludge concentration tank and dewatering the activated sludge; the lime filter tank is used for receiving the sewage flowing out of the hydrolysis acidification tank and adjusting the pH of the sewage by using a preset alkaline medicine; the back washing equipment is used for refluxing back washing wastewater generated by the lime filter to the hydrolysis acidification tank; the aerobic tank is used for receiving sewage flowing out of the lime filter tank, and the anoxic tank is used for receiving sewage flowing out of the aerobic tank; the disinfection tank is used for receiving the sewage flowing out of the anoxic tank, disinfecting the sewage by ultraviolet light, and taking the disinfected sewage as the sewage to be discharged.
The sensor is also used for being arranged in the hydrolysis acidification tank and/or the lime filter tank and detecting one or more parameters of the sewage; the heating equipment is also used for heating the sewage in the hydrolysis acidification tank so as to enable the temperature of the sewage in the hydrolysis acidification tank to reach the temperature required by hydrolysis acidification; the processor is also used for analyzing and obtaining the hydrolysis acidification state of the sewage in the hydrolysis acidification tank according to the data of the sensor; the controller is also used for controlling sewage treatment parameters of one or more links of the hydrolysis acidification tank, the lime filter tank, the heating equipment and the back washing equipment according to the data of the sensor and the hydrolysis acidification state obtained by analysis, and the controlled sewage treatment parameters comprise one or more of sewage flow, sludge discharge, aeration time, stirring time, back washing wastewater flow, sewage temperature and alkaline drug input amount.
The sensor comprises a COD sensor, a DO sensor, a pH sensor and NH3-N sensor, TN sensor, H2The system comprises an S sensor, an ultrasonic flowmeter, an ultrasonic mud level meter, a vortex shedding flowmeter and one or more integrated multi-parameter sensors for detecting the pH value, the oxidation-reduction potential, the dissolved oxygen concentration and the water temperature of the sewage.
The first type of biological enzyme product comprises one or more of ammonia nitrogen oxygenase, hydroxyl ammonia oxidoreductase, decarboxylase, dehydrogenase and catalase; the second class of bio-enzyme preparations includes one or more of nitrite reductase, nitric oxide reductase, nitrous oxide reductase, decarboxylase, dehydrogenase, catalase.
One or more first ceramic filter materials are distributed in the aerobic tank, and the first biological enzyme product is attached to the first ceramic filter materials; one or more second ceramic filter materials are distributed in the anoxic tank, and the second biological enzyme product is attached to the second ceramic filter materials.
The processor is used for analyzing and obtaining the activity state of a first type of biological enzyme product in the aerobic tank and/or the activity state of a second type of biological enzyme product in the anoxic tank according to the data of the sensor; wherein the process of analyzing the data of the sensor by the processor comprises: inputting the data of the sensor into a pre-established first analysis model, and predicting to obtain the variation of one or more parameters; determining the activity state of the first type of bio-enzyme preparation and/or the activity state of the second type of bio-enzyme preparation according to the variation of the one or more parameters; the first analysis model is a model obtained by making a training set by using data of the sensor in a historical stage and training through machine learning.
The processor is also used for analyzing and obtaining the hydrolysis acidification state of the sewage in the hydrolysis acidification tank according to the data of the sensor; wherein the data analysis process of the sensor by the processor comprises: inputting the data of the sensor into a pre-established second analysis model, and predicting to obtain the variation of one or more parameters; determining the hydrolysis acidification state of the sewage in the hydrolysis acidification tank according to the variation; the second analysis model is a model obtained by making a training set by using data of the sensor in a historical stage and training through machine learning.
According to a second aspect, an embodiment provides a high-efficiency treatment method for a sewage treatment system, wherein the sewage treatment system comprises an aerobic tank, an anoxic tank and one or more sensors, the aerobic tank is provided with a first type biological enzyme product for aerobic catalytic reaction treatment of sewage in advance, and the anoxic tank is provided with a second type biological enzyme product for anaerobic catalytic reaction treatment of sewage in advance; the processing method comprises the following steps: acquiring data of the sensor, wherein the sensor is used for detecting one or more parameters of the sewage in the aerobic tank and/or the anoxic tank; analyzing the data of the sensor to obtain the activity state of a first type of biological enzyme product in the aerobic pool and/or the activity state of a second type of biological enzyme product in the anoxic pool; and controlling sewage treatment parameters of one or more links in the sewage treatment process according to the data of the sensor and the activity state obtained by analysis, wherein the controlled sewage treatment parameters comprise one or more of sewage flow, gas flow, sewage temperature, sewage alkalinity and biological enzyme concentration.
The sewage treatment system also comprises a hydrolysis acidification tank and a lime filter tank, wherein activated sludge for hydrolyzing and acidifying sewage is arranged in the hydrolysis acidification tank, alkaline medicines for adjusting the pH value of the sewage are arranged in the lime filter tank, and the sensor is also used for detecting one or more parameters of the sewage in the hydrolysis acidification tank and/or the lime filter tank; the processing method further comprises: analyzing the data of the sensor to obtain the hydrolysis acidification state of the sewage in the hydrolysis acidification tank; and controlling sewage treatment parameters of one or more links in the sewage treatment process according to the hydrolysis acidification state of the sewage in the hydrolysis acidification tank, wherein the controlled sewage treatment parameters comprise one or more of sewage flow, sludge discharge, aeration time, stirring time, backwashing wastewater flow, sewage temperature and alkaline drug adding amount.
The first type of biological enzyme product comprises one or more of ammonia nitrogen oxygenase, hydroxyl ammonia oxidoreductase, decarboxylase, dehydrogenase and catalase; the second class of bio-enzyme preparations comprises one or more of nitrite reductase, nitric oxide reductase, nitrous oxide reductase, decarboxylase, dehydrogenase, catalase; one or more parameters of the sewage in the aerobic tank and/or the anoxic tank comprise DO (data only) parameters, pH (potential of Hydrogen) parameters, TN (twisted nematic) parameters and NH (hydrogen)3-one or more of N parameters, water temperature parameters, ORP parameters, gas flow; one or more of the sewage in the hydrolysis acidification tankThe multiple parameters include COD parameter, pH parameter, and NH3-one or more of N parameters, inlet water flow.
When detecting that the COD parameter in the aerobic tank exceeds a corresponding normal value, the DO parameter and the pH parameter are normal, and the inflow rate and the COD parameter of the hydrolysis acidification tank are normal, analyzing to obtain that the concentrations of decarboxylase, dehydrogenase and catalase in the aerobic tank are insufficient, and controlling to increase the decarboxylase, dehydrogenase and catalase in the aerobic tank; when NH in the aerobic tank is detected3The N parameter exceeds the corresponding normal value, the DO parameter and the pH parameter are normal, and the water inlet flow, the COD parameter and the NH of the hydrolysis acidification tank3When the-N parameters are normal, if the concentrations of the ammonia nitrogen oxygenase and the hydroxylamine oxidoreductase in the aerobic tank are insufficient through analysis, the ammonia nitrogen oxygenase and the hydroxylamine oxidoreductase in the aerobic tank are controlled to be increased; when detecting that the DO parameter in the aerobic tank is lower than the corresponding normal value, the COD parameter and the NH parameter3the-N parameters exceed the corresponding normal values, and the water inlet flow, the COD parameter and the NH of the hydrolysis acidification tank3When the N parameters are normal, analyzing to obtain that the activity of the biological enzyme in the aerobic tank is insufficient, and controlling to increase the air inlet flow in the aerobic tank; when the detected water temperature parameter in the aerobic tank is lower than the corresponding normal value, controlling and heating the sewage in the aerobic tank to the temperature required by the activity of the first type of biological enzyme products; when the pH parameter and the ORP parameter in the aerobic tank are detected to be lower than the corresponding normal values, controlling and adding a sodium carbonate solution into the aerobic tank; when detecting COD parameter and NH in the hydrolytic acidification tank3-controlling the increase of the water inflow of the hydrolysis acidification tank when the N parameters are all lower than the corresponding normal values; when COD parameter and NH in the hydrolytic acidification tank are detected3When the N parameters exceed the corresponding normal values, controlling and reducing the water inlet flow of the hydrolysis acidification tank; when the TN parameter in the anoxic tank exceeds the corresponding normal value, the DO parameter is normal, and NH in the hydrolysis acidification tank and the aerobic tank3When the-N parameters are normal, analyzing to obtain the nitrous acid reduction in the anoxic pondIf the activities of the proenzyme, the nitric oxide reductase and the nitrous oxide reductase are insufficient, nitrite reductase, nitric oxide reductase and nitrous oxide reductase in the anoxic pond are controlled to be increased; when detecting that the DO parameter and the ORP parameter in the anoxic tank exceed corresponding normal values, controlling to extract gas in the anoxic tank; when the COD parameters in the anoxic tank exceed corresponding normal values and the COD parameters in the hydrolysis acidification tank and the aerobic tank are both normal, analyzing to obtain that the activities of decarboxylase, dehydrogenase and catalase in the anoxic tank are insufficient, and controlling to increase the decarboxylase, dehydrogenase and catalase in the anoxic tank; and when the detected water temperature parameter in the anoxic tank is lower than the corresponding normal value, controlling to heat the sewage in the anoxic tank to the temperature required by the activity of the second type of biological enzyme products.
The sensor comprises a COD sensor, a DO sensor, a pH sensor and NH3-N sensor, TN sensor, H2The system comprises an S sensor, an ultrasonic flowmeter, an ultrasonic mud level meter, a vortex shedding flowmeter and one or more integrated multi-parameter sensors for detecting the pH value, the oxidation-reduction potential, the dissolved oxygen concentration and the water temperature of the sewage.
The analysis process of the data of the sensor comprises the following steps: inputting the data of the sensor into a pre-established first analysis model, predicting to obtain the variation of one or more parameters, and determining the activity state of the first type of biological enzyme product and/or the activity state of the second type of biological enzyme product according to the variation of the one or more parameters; and/or inputting the data of the sensor into a pre-established second analysis model, predicting to obtain the variation of one or more parameters, and determining the hydrolysis acidification state of the sewage in the hydrolysis acidification tank according to the variation of one or more parameters; the first analysis model or the second analysis model is a model obtained by making a training set by using data of the sensor in a historical stage and training through machine learning.
According to a third aspect, an embodiment provides a computer-readable storage medium comprising a program executable by a processor to implement the efficient processing method as described in the second aspect above.
The beneficial effect of this application is:
according to the efficient sewage treatment system and the efficient sewage treatment method thereof, the sewage treatment system comprises a regulating tank, an aerobic tank, an anoxic tank, a heating device, a ventilation device, a dosing device, a processor, a controller and one or more sensors; wherein, the sensor is used for being arranged in the aerobic tank and/or the anoxic tank and detecting one or more parameters of the sewage; the processor is used for analyzing and obtaining the activity state of a first type of biological enzyme product in the aerobic tank and/or the activity state of a second type of biological enzyme product in the anoxic tank according to the data of the sensor; the controller is connected with the processor and used for controlling sewage treatment parameters of one or more links of the regulating tank, the aerobic tank, the anoxic tank, the ventilation equipment, the heating equipment and the dosing equipment according to the data of the sensor and the activity state obtained by analysis, and the controlled sewage treatment parameters comprise one or more of sewage flow, gas flow, sewage temperature, sewage alkalinity and biological enzyme concentration. On the first hand, because the first type of biological enzyme products are used in the aerobic tank, the second type of biological enzyme products are used in the anoxic tank, and the biological enzymes are directly used for participating in the reaction, the metabolic influence of microorganisms (such as various bacteria playing a role) can be avoided, the reaction rate in the sewage treatment link can be effectively improved, even the reaction rate is improved to 20 percent, and thus the retention time and the power consumption of the sewage can be reduced; in the second aspect, the first type of biological enzyme products in the aerobic tank can catalyze and react ammonia nitrogen in the sewage into nitrite nitrogen and remove a part of COD (chemical oxygen demand), and the second type of biological enzyme products in the anoxic tank can catalyze and react the nitrite nitrogen in the sewage into nitrogen, so that the aim of denitrification can be quickly fulfilled, and a part of COD can be removed, thereby providing a quick reaction realization mode for sewage treatment operation; in the third aspect, the processor is utilized to analyze and obtain the activity state of a first class of biological enzyme products in the aerobic tank or analyze and obtain the activity state of a second class of biological enzymes in the anoxic tank according to the data of the sensor, so that the method is beneficial to quickly and accurately regulating and controlling the adding amount of various equipment and related medicaments in the sewage treatment link by using an artificial intelligent means, thereby maintaining stable sewage environment parameters and meeting the reaction conditions of the biological enzymes; in the fourth aspect, the controller can control the sewage treatment parameters of one or more links of the adjusting tank, the aerobic tank, the anoxic tank, the ventilation equipment, the heating equipment and the dosing equipment according to the data and the activity state obtained by analysis of the sensor, so that the optimal activity state of the biological enzyme can be maintained in real time, the overall regulation and control can be performed on the sewage treatment process, and the effluent quality of the sewage can be ensured; in the fifth aspect, as the biological enzyme is filled in the ceramic filter material in the aerobic tank or the anoxic tank, the biological enzyme reacts in the corresponding tank all the time, so that the condition that the biological enzyme easily flows away along with sewage water flow can be avoided; in a sixth aspect, the application realizes the application effect of artificial intelligent regulation and control of the whole process through the processor and the controller, and can reduce the working requirements on operators and the operation management difficulty, so that the operation control is simpler and more convenient; in the seventh aspect, the technical scheme of the application can effectively remove organic matter reaction through the aerobic tank and the anoxic tank, can solve the problem that methanol needs to be additionally added due to lack of carbon source in the denitrification reaction of the anoxic tank when more organic matter is removed by the aerobic tank in the conventional process, and simultaneously reduces the generation amount of byproducts such as residual sludge, hydrogen sulfide and nitrous oxide in the sewage treatment process by the biological process.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a high efficiency wastewater treatment system;
FIG. 2 is a schematic view showing the construction of a high-efficiency sewage treatment system according to another embodiment;
FIG. 3 is a flow diagram of a high efficiency treatment method for a wastewater treatment system according to one embodiment;
FIG. 4 is a flow chart illustrating a high efficiency treatment method for a wastewater treatment system according to another embodiment.
Detailed Description
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings. Wherein like elements in different embodiments are numbered with like associated elements. In the following description, numerous details are set forth in order to provide a better understanding of the present application. However, those skilled in the art will readily recognize that some of the features may be omitted or replaced with other elements, materials, methods in different instances. In some instances, certain operations related to the present application have not been shown or described in detail in order to avoid obscuring the core of the present application from excessive description, and it is not necessary for those skilled in the art to describe these operations in detail, so that they may be fully understood from the description in the specification and the general knowledge in the art.
Furthermore, the features, operations, or characteristics described in the specification may be combined in any suitable manner to form various embodiments. Also, the various steps or actions in the method descriptions may be transposed or transposed in order, as will be apparent to one of ordinary skill in the art. Thus, the various sequences in the specification and drawings are for the purpose of describing certain embodiments only and are not intended to imply a required sequence unless otherwise indicated where such sequence must be followed.
The numbering of the components as such, e.g., "first", "second", etc., is used herein only to distinguish the objects as described, and does not have any sequential or technical meaning. The term "connected" and "coupled" when used in this application, unless otherwise indicated, includes both direct and indirect connections (couplings).
For clear and accurate understanding of the technical solutions of the present application, some technical terms are explained herein.
The COD parameter, Chemical Oxygen Demand (Chemical Oxygen Demand), is a Chemical method for measuring the amount of reducing substances to be oxidized in a water sample. Under a certain condition, the water sample takes the amount of an oxidant consumed by oxidizing reducing substances in 1 liter of water sample as an index, and the amount is converted into milligrams of oxygen required after each liter of water sample is completely oxidized and is expressed by mg/L. The COD level reflects the degree of contamination of water with reducing substances, and generally, the higher the COD level, the more serious the water contamination. Usually the COD parameter is measured by a COD sensor.
The TN parameter, Total Nitrogen (Total Nitrogen), is the Total amount of various forms of inorganic and organic Nitrogen in water, often including NO3-、NO2-and NH4+ and other inorganic nitrogen and protein, amino acid and organic amine and other organic nitrogen in mg nitrogen for each liter of water. The TN amount is often used to indicate the degree of nutrient contamination of the water, and the higher the value is, the more serious the water quality contamination is. Typically, the TN parameters are measured by TN sensors.
The TP parameter, Total Phosphorus (Total Phosphorus), is the sum of the Phosphorus present in the wastewater in both the inorganic and organic states. The TP amount is one of indexes for measuring the water pollution degree, and the larger the value is, the higher the water pollution degree is. Typically the TP parameters are measured by a TP sensor.
NH3the-N parameter, namely ammonia nitrogen concentration, the content of ammonia nitrogen is an important standard for measuring water quality, and the content of ammonia nitrogen is expressed in milligrams per liter, if the content of ammonia nitrogen is high, eutrophication of the water body can be caused. Usually NH3The N parameter is represented by NH3-N sensor measurements.
The pH parameter refers to the ratio of the total number of hydrogen ions in the wastewater to the total amount of substances, and is usually pH value. Typically the pH parameter is measured by a pH sensor.
The DO parameter, dissolved oxygen concentration (dissolved oxygen), is the amount of oxygen dissolved in water and is an indicator of the self-cleaning capacity of a body of water expressed in milligrams of oxygen per liter of water. The DO amount has a close relationship with the partial pressure of oxygen in the air and the temperature of water, and in a natural situation, the oxygen content in the air does not change greatly, so that the water temperature is a main factor, and the lower the water temperature is, the higher the content of dissolved oxygen in the water is. However, when the water body is polluted by organic matters, oxygen is consumed seriously, dissolved oxygen cannot be supplemented in time, anaerobic bacteria in the water body can be propagated quickly, and the water body becomes black and smelly due to the corruption of the organic matters, so that the water body is seriously polluted, the self-cleaning capacity is weak, and even the self-cleaning capacity is lost.
The ORP parameter, i.e., Oxidation-Reduction Potential (Oxidation-Reduction Potential), is used to reflect the macroscopic Oxidation-Reduction property of all substances in an aqueous solution by reaction, and the higher the Oxidation-Reduction Potential is, the stronger the Oxidation property is, and the lower the Potential is, the weaker the Oxidation property is. The ORP quantity is taken as a comprehensive index of the environmental condition of the medium, which represents the relative degree of the oxidability or reducibility of the medium, and can not independently reflect the quality of water quality, but can comprehensively reflect the ecological environment in the aquarium system by combining other water quality indexes. Usually, the ORP parameter and the DO parameter are measured by an integrated multi-parameter sensor.
H2The S parameter, i.e., the concentration of hydrogen sulfide, is used to reflect the content of the sulfider gas in the space. Generally, the anaerobic fermentation process can be divided into a hydrolysis stage, an acidification stage, an acid decline stage and a methanation stage, and hydrogen sulfide and methane gas are sequentially generated in the last two stages, so that the detection of the content of hydrogen sulfide gas at any time is helpful for judging the proceeding state of anaerobic fermentation, and the anaerobic fermentation is controlled to be maintained in the hydrolysis stage and the acidification stage.
The sludge level parameter is the height of the sludge at the bottom after the sludge is settled in the structure. Usually, the mud level parameters are measured by an ultrasonic mud level meter.
The application mainly relates to a high-efficiency sewage treatment system and a high-efficiency treatment method thereof, and the invention conception of the technical scheme is as follows: based on artificial intelligent accurate regulation and control, the stable reaction environment of each link in the sewage treatment process is maintained, and different types of biological enzymes are directly applied to participate in the biochemical reaction process of sewage treatment, so that a new sewage treatment process is formed, the controllability in the sewage treatment process is improved, the biochemical reaction efficiency and the denitrification effect in the sewage treatment process by the biological process are improved, byproducts generated in the sewage treatment process are reduced, the secondary pollution of the byproducts to the environment is avoided, and the pressure of solid waste treatment and atmosphere treatment is reduced.
The technical solution of the present application will be described with reference to the following examples.
The first embodiment,
Referring to fig. 1, the present application provides an efficient sewage treatment system 1, which mainly comprises a regulating tank 11, an aerobic tank 12, an anoxic tank 13, a heating device 14, a ventilation device 15, a dosing device 16, a processor 17, a controller 18 and one or more sensors, which are respectively described below.
The adjusting tank 11 is used for receiving sewage generated in the production process of the production equipment and adjusting the sewage quantity and the sewage quality. Generally, the amount of water of the sewage discharged in the production process and the water quality change greatly in different time periods, in order to enable the rear-end sewage treatment operation process to work normally, the discharged sewage should pass through a water tank with a certain capacity and stay for a certain time, so that the peak flow or high-concentration sewage is uniformly mixed in the tank, the harm caused by concentrated discharge of high-concentration substances is avoided, and finally the sewage reaches a to-be-treated state with uniform and stable water amount and quality, wherein the stay time of the sewage in the regulating tank 11 can be realized by controlling the inflow and outflow.
The aerobic tank 12 is used for receiving the sewage from the regulating tank 11 and carrying out aerobic catalytic reaction treatment on the sewage through a preset first type biological enzyme product.
The anoxic tank 13 is used for receiving the sewage from the aerobic tank 12 and performing anaerobic catalytic reaction treatment on the sewage through a preset second type biological enzyme product.
In this embodiment, different bio-enzyme products are used to perform the catalytic reaction treatment on the aerobic tank and the anoxic tank, respectively, rather than using microorganisms in the activated sludge in the conventional biochemical tank to adsorb, decompose, absorb, oxidize, and reduce pollutants in the sewage. When the biological enzyme product is used as a catalyst, the catalytic efficiency is greatly improved, and the generation amount of secondary pollutants is reduced. In addition, the aerobic tank 12 can convert ammonia nitrogen into nitrate nitrogen to provide raw materials for the anoxic tank 13, so that the removal amount of organic matters is controlled, and enough carbon sources are reserved for subsequent reactions.
The heating device 14 is used for heating the sewage in the aerobic tank 12 and the anoxic tank 13 respectively, so that the temperature of the sewage in the aerobic tank 12 and the temperature of the sewage in the anoxic tank 13 respectively reach the temperature required by the activity of the first type biological enzyme product and the second type biological enzyme product (for example, the temperature of the sewage is maintained at 25-30 ℃). The heating device 14 may be electric heating, gas heating, solar heating, and the like, and is not particularly limited.
The ventilation device 15 is used for respectively adjusting the gas flow of the aerobic tank 12 and the anoxic tank 13. The ventilation device 15 may have mutually independent air ducts respectively leading to the aerobic tank 12, and then an air pump, a fan, and other devices are used to provide oxygen-containing gas (such as air) for the aerobic tank 12, so as to promote the rapid proceeding of the aerobic catalytic reaction; or the oxygen in the anoxic tank 13, nitrogen and carbon dioxide generated by biochemical reaction and other gases can be pumped by utilizing equipment such as an air pump, a fan and the like, so that the anoxic state of the anoxic tank 13 is maintained, and the rapid proceeding of the anaerobic catalytic reaction is promoted.
The chemical adding device 16 is arranged at the inlet end of the aerobic tank 12 and is used for adding chemical at the inlet end and adjusting the alkalinity of the sewage. The chemical adding device 13 may have functions of preparing a chemical, controlling the amount of the chemical to be added, and the like, and may be configured to prepare and add a chemical such as a sodium carbonate solution or a caustic soda. Generally, the types of medicines which can be prepared comprise acid, alkali, oxidant, reducing agent, carbon source, disinfectant and the like, powdery, granular or blocky medicines generally need to be dissolved and then prepared into solution with a certain concentration and then quantitatively added by using a metering pump, gaseous medicines need to be mixed and compressed with water and then quantitatively added by using the metering pump, the medicines in a solution state can be diluted into solution with a certain concentration or directly added by using the metering pump, and the powdery medicines which are partially insoluble in water can be directly added by using a conveying screw, a pneumatic conveying pump or a hopper. In this embodiment, when the adding device 16 adds the sodium carbonate solution at the inlet end of the aerobic tank 12, it is not only beneficial to adjust the sewage entering the aerobic tank 12 to reach a slightly alkaline state (such as a pH value of 7-8), but also beneficial to provide a sufficient carbon source for the anoxic tank.
One or more sensors are provided for positioning in the aerobic tank 12 and/or the anoxic tank 13 and for detecting one or more parameters of the effluent. In the present embodiment, the sensors include a COD sensor, a DO sensor, a pH sensor, and NH3-N sensor (i.e. Ammonia Nitrogen sensor), H2S sensor, ultrasonic flowmeter, ultrasonic mud level meter, vortex shedding flowmeter, and one of integrated multi-parameter sensors for detecting pH value, oxidation-reduction potential, dissolved oxygen concentration and water temperature of sewageOr a plurality thereof. The measured water quality parameters of the individual sensors have been described above and will not be described in further detail here. In one embodiment, the aerobic tank 12 is mainly provided with a COD sensor, a DO sensor, a pH sensor and NH3An N sensor, a vortex flowmeter and an integrated multi-parameter sensor, and a COD sensor, a DO sensor, a pH sensor and NH are mainly arranged in the anoxic tank 133The sensor comprises an N sensor, a TN sensor, a vortex shedding flowmeter and an integrated multi-parameter sensor.
The processor 17 is connected with the sensor signals at each position, and the processor 17 is used for obtaining the activity state of the first type of biological enzyme product in the aerobic tank 12 and/or the activity state of the second type of biological enzyme product in the anoxic tank 13 according to the data analysis of one or more sensors. It is understood that the processor 17 in this embodiment may be a computer, a server, a central control platform, a cloud platform, and other devices with related functions, and is not limited specifically here.
The controller 18 is connected with the processor 17 and is configured to control sewage treatment parameters of one or more links of the adjusting tank 11, the aerobic tank 12, the anoxic tank 13, the ventilation equipment 15, the heating equipment 14, and the dosing equipment 16 according to data of one or more sensors and an activity state obtained through analysis, wherein the controlled sewage treatment parameters include one or more of sewage flow, gas flow, sewage temperature, sewage alkalinity, and bio-enzyme concentration.
In this example, the biological enzyme product involved is an organic substance having a catalytic action produced by living cells, and most of the biological enzyme product is protein, and a very small part of the biological enzyme product is RNA. The biological enzyme product is produced from organisms, has a special catalytic function, for example, when the biological enzyme is used as a catalyst, the catalytic efficiency of the enzyme is 10^7 to 10^13 times that of a common inorganic catalyst, and the biological enzyme can only catalyze the chemical reaction of one class of substances, namely the enzyme is a catalyst which can only promote a specific compound, a specific chemical bond and specific chemical change. The first type of biological enzyme products arranged in the aerobic tank 12 comprise one or more of ammonia nitrogen oxygenase, hydroxyl ammonia oxido-reductase, decarboxylase, dehydrogenase and catalase; the second class of bio-enzyme preparations disposed within the anoxic tank 13 includes one or more of nitrite reductase, nitric oxide reductase, nitrous oxide reductase, decarboxylase, dehydrogenase, catalase.
In one embodiment, the solubility of the biological enzyme may be adjusted in order to achieve the requirements of a highly efficient catalytic reaction. For example, the concentration of the biological enzyme in the aerobic tank 12 satisfies the following conditions: ammonia nitrogen oxygenase (400-500 mg/L), hydroxylamine oxidoreductase (400-500 mg/L), decarboxylase (250-300 mg/L), dehydrogenase (250-300 mg/L) and catalase (100-180 mg/L); the concentration of the biological enzymes in the anoxic tank 13 satisfies: nitrite reductase (480-600 mg/L), nitric oxide reductase (500-600 mg/L), nitrous oxide reductase (450-600 mg/L), decarboxylase (80-130 mg/L), dehydrogenase (80-130 mg/L), and catalase (30-90 mg/L).
In this embodiment, one or more first ceramic filter materials are distributed in the aerobic tank 12, and the first type of bio-enzyme product is attached to the first ceramic filter materials. Similarly, one or more second ceramic filter materials are distributed in the anoxic tank 13, and the second type biological enzyme product is attached to the second ceramic filter materials.
The ceramic filter material is a filler frequently used in the sewage treatment industry, and is mainly characterized by rough surface, multiple micropores, developed internal pores and large specific surface area, so that the biological bacteria has strong attachment capacity, rapid propagation, high membrane hanging efficiency and good ammonia nitrogen removal effect under the conditions of low temperature and low turbidity; in addition, the ceramic filter material has light stacking specific gravity and high strength, so that the back washing energy consumption is low, the head loss is low, and the high sewage interception capability is realized.
In this embodiment, the processor 17 is configured to obtain the activity status of the first type of bio-enzyme product in the aerobic tank 12 and/or the activity status of the second type of bio-enzyme product in the anoxic tank 13 according to the data analysis of the one or more sensors. The process of analyzing the data of the sensor by the processor 17 includes:
(1) and inputting the data of the sensor into a pre-established first analysis model, and predicting to obtain the variation of one or more parameters. The first analytical model here is a model obtained by creating a training set using data of the sensor in a history stage and training the training set by machine learning.
(2) Determining the activity state of the first type of biological enzyme preparation and/or the activity state of the second type of biological enzyme preparation according to the variation of the one or more parameters.
In the embodiment, the data of the sensor in the history stage comprise COD parameter, DO parameter, pH parameter and NH3One or more of N parameter, ORP parameter, TN parameter, sewage flow, gas flow and water temperature parameter, wherein the predicted one or more parameters may also be one or more of the parameters, and the variation of the one or more parameters in a next period of time (such as 10min, 30min or 60min) can be predicted, so as to judge the water quality condition of the sewage in the aerobic tank or the anoxic tank according to the variation, and further determine the activity state of the first type biological enzyme product or the second type biological enzyme product in the sewage. For a specific description of the activity state of biological enzymes through deep learning and prediction functions, reference may be made to example three of the present application.
Those skilled in the art can understand that, in the embodiment, the processor 17 can effectively obtain how to cooperate various parameters according to the results of the sensor and the deep learning so as to achieve the optimal biochemical reaction environment result, and the regulation and control process is often nonlinear, so that a deep learning method and intelligent control are required, but the general control method cannot achieve such accuracy and efficiency.
As will be understood by those skilled in the art, the use of the bio-enzyme preparation in this example for aerobic catalytic treatment and anaerobic catalytic treatment of wastewater may provide several benefits:
(1) the first type of biological enzyme products are used in the aerobic tank, the second type of biological enzyme products are used in the anoxic tank, and biological enzymes are directly used for participating in the reaction, so that the metabolic influence of microorganisms (such as various bacteria playing a role) can be avoided, the reaction rate of a sewage treatment link can be effectively improved, even the reaction rate is improved by 20 percent, and the retention time and the power consumption of sewage can be reduced.
(2) First class biological enzyme products in the aerobic tank can become nitrite nitrogen with the ammonia nitrogen catalytic reaction in the sewage, get rid of partly COD simultaneously, and the second class biological enzyme products in the oxygen deficiency pond can become nitrogen gas with the nitrite nitrogen catalytic reaction in the sewage, so alright in order to realize the mesh of denitrogenation fast, still can get rid of partly COD simultaneously, provide the implementation mode of a swift reaction for the sewage treatment operation.
(3) The processor is utilized to analyze and obtain the activity state of a first type of biological enzyme product in the aerobic tank or analyze and obtain the activity state of a second type of biological enzyme in the anoxic tank according to the data of the sensor, so that the method is beneficial to quickly and accurately regulating and controlling the adding amount of various equipment and related medicaments in the sewage treatment link by an artificial intelligent means, thereby maintaining stable sewage environmental parameters and meeting the reaction conditions of the biological enzymes.
(4) The controller can control sewage treatment parameters of one or more links in the regulating tank, the aerobic tank, the anoxic tank, the ventilation equipment, the heating equipment and the dosing equipment according to the activity state obtained by the data and the analysis of the sensor, so that the optimal activity state of the biological enzyme can be kept in real time, the overall regulation and control can be performed on the sewage treatment process, and the effluent quality of the sewage is ensured.
(5) Biological enzyme is filled in the ceramic filter material in the aerobic tank or the anoxic tank, so that the biological enzyme reacts in the tank corresponding to the biological enzyme all the time, and the condition that the biological enzyme easily flows away along with sewage water flow can be avoided.
Example II,
Referring to fig. 2, in order to ensure the aerobic catalytic reaction treatment effect of the aerobic tank 12 on the sewage and the anaerobic catalytic reaction treatment effect of the anoxic tank 13 on the sewage, and reduce the strain pollution to the aerobic tank 12 and the anoxic tank 13, on the basis of the sewage treatment system 1 disclosed in the first embodiment, the present application further discloses another efficient sewage treatment system 2, and the sewage treatment system 2 further includes an air flotation device 20, a hydrolysis acidification tank 21, a sludge concentration tank 24, a sludge dewatering room 25, a lime filter tank 22, a backwashing device 23 and a disinfection tank 26, which are respectively described below.
The floatation device 20 is used for receiving the sewage flowing out of the regulating tank 11 and separating suspended matters in the sewage by means of coagulation, sedimentation and floatation.
The hydrolysis acidification tank 21 is used for receiving the sewage flowing out of the air floatation device 20 and hydrolyzing and acidifying the sewage by using microorganisms in the activated sludge.
The sludge concentration tank 24 is used for receiving the activated sludge transferred from the hydrolysis acidification tank 21 and performing sedimentation, concentration and anaerobic digestion on the activated sludge. The purpose of the sludge thickener 24 is to reduce the total amount of sludge and to facilitate the next sludge dewatering operation.
The sludge dewatering room 25 is used for receiving the activated sludge transferred from the sludge concentration tank 24 and dewatering the activated sludge, and usually uses mechanical equipment, and further separates moisture in the sludge through a physical method, so as to achieve the purposes of reducing the total amount of the sludge and facilitating the outward transportation of the sludge.
The lime filter 22 is used for receiving the sewage flowing out of the hydrolysis acidification tank 21 and adjusting the pH of the sewage by using preset alkaline chemicals.
The back washing equipment 23 is used for returning back washing wastewater generated by the lime filter 22 to the hydrolysis acidification tank.
The aerobic tank 12 is used for receiving sewage flowing out of the lime filter 22, and the anoxic tank 13 is used for receiving sewage flowing out of the aerobic tank 12.
The disinfection tank 26 is used for receiving the sewage flowing out of the anoxic tank 13, disinfecting the sewage by ultraviolet light, and taking the disinfected sewage as sewage to be discharged.
It is noted that the anaerobic fermentation process can be divided into four stages, namely a hydrolysis stage, an acidification stage, an acid decay stage and a methanation stage. And the reaction process is controlled in two stages of hydrolysis and acidification in the hydrolysis acidification tank. In the hydrolysis stage, the combined filler can degrade solid organic substances into soluble substances and degrade macromolecular organic substances into micromolecular substances; in the acidification stage, organic substances such as carbohydrates are degraded into organic acids, mainly acetic acid, butyric acid, propionic acid and the like. The hydrolysis and acidification reactions proceed relatively quickly and it is generally difficult to separate them, the main microorganism at this stage being the hydrolysis-acidification bacteria. The biodegradability of the sewage can be improved after the sewage passes through the hydrolytic acidification tank, the pH value of the sewage is reduced, and the sewage is reducedThe mud yield creates favorable conditions for subsequent aerobic biological treatment. As can be understood by those skilled in the art, after the sewage is treated by the hydrolysis acidification tank, on one hand, the biodegradability of the wastewater can be improved, and macromolecular organic matters can be converted into small molecules; on the other hand, COD in the sewage can be removed. In order to avoid anaerobic fermentation from entering the latter two stages (in which hydrogen sulfide and methane gas are generated successively), it is necessary to place a hydrogen sulfide sensor (i.e., H) below the heat-insulating sealing cover of the hydrolysis acidification tank and above the water surface2And the S sensor) is used for detecting the concentration change of the hydrogen sulfide in the gas, so that the water inflow, the sludge discharge, the intermittent small-amount aeration stirring time and the water temperature (30-35 ℃) of the hydrolysis acidification tank 21 are controlled by the processor 17 and the controller 18, and the optimal treatment effect of the hydrolysis acidification tank is ensured.
It should be noted that, since the sewage output from the hydrolysis acidification tank 21 is acidic, the reaction in the lime filter tank can occur: CaCO3+H+→Ca2++HCO3-,Ca2++PO4 3-→Ca3(PO4)2↓. Therefore, phosphate dissolved in the sewage can be removed, the pH value is increased and maintained at 7-8, and alkalinity is provided for nitrosation reaction in the aerobic tank 12. In addition, the lime filter 22 can absorb suspended matters and sludge in the sewage at the same time, and reduces the strain pollution to the aerobic tank 12 and the anoxic tank 13.
In this embodiment, see fig. 2, one or more sensors are also provided for being arranged in the hydrolysis acidification tank 21 and/or the lime filter 22 and for detecting one or more parameters of the effluent. For example, a COD sensor, a pH sensor, and NH are provided at the hydrolysis/acidification tank 213-N sensor, H2The S sensor, the integrated multi-parameter sensor and the ultrasonic flowmeter can be arranged to detect the flow of the sewage entering the hydrolysis acidification tank 21; a pH sensor is provided at the lime filter 22 to detect the pH value of the sewage, and an ultrasonic flowmeter is provided to detect the flow rate of the backwash wastewater for reaching the backwash device 23.
In this embodiment, the heating device 14 is further configured to heat the sewage in the hydrolysis and acidification tank 21, so that the temperature of the sewage in the hydrolysis and acidification tank 21 reaches a temperature (e.g., 30-35 ℃) required for hydrolysis and acidification.
In this embodiment, the processor 17 is further configured to obtain a hydrolytic acidification status of the sewage in the hydrolytic acidification tank according to the data analysis of the sensor. For example, the sewage enters an acidification state according to the analysis of the detected reduction of COD parameter and pH parameter, and H is detected2When the S parameter is increased, the sewage obtained by analysis enters an acid decline stage.
In this embodiment, the controller 18 is further configured to control sewage treatment parameters of one or more of the hydrolysis acidification tank 21, the lime filter 22, the heating device 14, and the backwashing device 23 according to data of the sensor and the hydrolysis acidification state obtained through analysis, where the controlled sewage treatment parameters include one or more of sewage flow, sludge discharge amount, aeration time, stirring time, backwashing wastewater flow, sewage temperature, and alkaline chemical dosing amount. For example, after analyzing the wastewater to enter the acid decline stage, the controller 18 may adjust the following: such as increasing the flow of sewage into the hydrolysis-acidification tank 21, increasing the discharge of sludge from the hydrolysis-acidification tank 21, decreasing the aeration time of the hydrolysis-acidification tank 21, increasing the stirring time of the hydrolysis-acidification tank 21, increasing the flow of backwash wastewater in the backwash device 23, or increasing the dosage of alkaline chemicals (e.g., lime) in the lime filter 22. The aeration time influences the amount of oxygen, so that hydrolytic acidification is maintained in an aerobic and anaerobic intermediate stage, and acetogenic bacteria and methanogenic bacteria can be inhibited in an aerobic environment.
In the embodiment, the sensors include a COD sensor, a pH sensor and NH3-N sensor, H2The system comprises an S sensor, an ultrasonic flowmeter, an ultrasonic mud level meter and one or more of integrated multi-parameter sensors for detecting the pH value, the oxidation-reduction potential, the dissolved oxygen concentration and the water temperature of the sewage. The parameters detected by the sensors are described above, and are not described in detail here.
In the present embodiment, the first type of bio-enzyme products disposed in the aerobic tank 12 include one or more of ammonia nitrogen oxygenase, hydroxyl ammonia oxidoreductase, decarboxylase, dehydrogenase, and catalase; the second category of bio-enzyme products disposed within the anoxic tank 13 includes one or more of nitrite reductase, nitric oxide reductase, nitrous oxide reductase, decarboxylase, dehydrogenase, catalase. Furthermore, one or more first ceramic filter materials are distributed in the aerobic tank 12, and the first class of biological enzyme products are attached to the first ceramic filter materials; one or more second ceramic filter materials are distributed in the anoxic pond 13, and the second biological enzyme products are attached to the second ceramic filter materials.
In the present embodiment, the processor 17 predicts the variation of the one or more parameters, in addition to inputting the data of the one or more sensors into the pre-established first analysis model; determining the activity state of the first type of biological enzyme preparation and/or the activity state of the second type of biological enzyme preparation according to the variation of the one or more parameters; besides, the processor 17 is also used for obtaining the hydrolytic acidification state of the sewage in the hydrolytic acidification tank according to the data analysis of the sensor. The data analysis process of the processor 17 on the sensor includes:
(1) and inputting the data of the sensor into a pre-established second analysis model, and predicting to obtain the variation of one or more parameters. The second analysis model is a model obtained by creating a training set using data of the sensor in the history stage and training the training set by machine learning.
(2) And determining the hydrolysis acidification state of the sewage in the hydrolysis acidification tank according to the variation of one or more parameters.
In the embodiment, the data of the sensor in the history stage comprise COD parameter, pH parameter and NH3-N parameter, H2One or more of the S parameter, the sewage flow data, the mud level parameter, the gas flow parameter, and the water temperature parameter, wherein the one or more predicted parameters may also be one or more of these parameters, and the variation of the one or more parameters in a next period of time (e.g., 10min, 30min, or 60min) may be predicted, so as to determine the water quality condition of the sewage in the hydrolysis and acidification tank 21 according to the variation, and further determine the hydrolysis and acidification state of the sewage. Specific description about the state of hydrolytic acidification by deep learning and prediction functions can be madeReference is made to example three of the present application.
Those skilled in the art can understand that, in the process of analyzing the data of the sensor by the processor 17 to obtain the hydrolysis acidification state of the sewage in the hydrolysis acidification tank, and controlling the sewage treatment parameters of one or more links of the hydrolysis acidification tank 21, the lime filter 22, the heating device 14 and the backwashing device 23 by the controller 18, the hydrolysis acidification effect and the alkaline filtration effect of the sewage can be effectively ensured by predicting the quality of the sewage in the hydrolysis acidification tank and the lime filter in advance to perform regulation and control treatment.
On the whole, the application realizes the application effect of artificial intelligent regulation and control of the whole process through the processor and the controller, can reduce the working requirements on operators and the operation management difficulty, and enables the operation control to be simpler and more convenient; in addition, the technical scheme of the application can effectively remove organic matter reaction through the aerobic tank and the anoxic tank, can solve the problem that methanol needs to be additionally added due to lack of carbon source in the denitrification reaction of the anoxic tank when more organic matters are removed by the aerobic tank in the conventional process, and simultaneously reduces the generation amount of byproducts such as residual sludge, hydrogen sulfide, nitrous oxide and the like in the sewage treatment process by the biological process.
Example III,
Referring to fig. 3, on the basis of the sewage treatment system 1 disclosed in the first embodiment, a high-efficiency treatment method for a sewage treatment system is also disclosed, which mainly comprises steps S310-S330, which are respectively described below.
In this embodiment, the sewage treatment system 1 includes an aerobic tank 12, an anoxic tank 13, and one or more sensors, wherein the aerobic tank 12 is pre-provided with a first type of bio-enzyme product for performing an aerobic catalytic reaction treatment on sewage, and the anoxic tank 13 is pre-provided with a second type of bio-enzyme product for performing an anaerobic catalytic reaction treatment on sewage. Then, the efficient processing method of the embodiment includes:
step S310, data of one or more sensors for detecting one or more parameters of the wastewater in the aerobic tank 12 and/or the anoxic tank 13 is obtained.
Step S320, the activity state of the first type of biological enzyme products in the aerobic tank 12 and/or the activity state of the second type of biological enzyme products in the anoxic tank 13 are obtained according to the data analysis of the sensor.
And step S330, controlling sewage treatment parameters of one or more links in the sewage treatment process according to the data of the sensor and the activity state obtained by analysis, wherein the controlled sewage treatment parameters comprise one or more of sewage flow, gas flow, sewage temperature, sewage alkalinity and biological enzyme concentration.
In the present embodiment, the first type of bio-enzyme product disposed in the aerobic tank 12 includes one or more of ammonia-nitrogen oxygenase, hydroxyamine oxidoreductase, decarboxylase, dehydrogenase, and catalase; the second category of bio-enzyme products disposed within the anoxic tank 13 includes one or more of nitrite reductase, nitric oxide reductase, nitrous oxide reductase, decarboxylase, dehydrogenase, catalase.
It should be noted that the one or more parameters of the wastewater in the aerobic tank 12 and/or the anoxic tank 13 include DO parameter, pH parameter, TN parameter, NH parameter3-one or more of N parameter, ORP parameter, water temperature parameter, gas flow.
It should be noted that, whether the first type of biological enzyme product is in the aerobic tank 12 or the second type of biological enzyme product is in the anoxic tank 13, the catalytic reaction of the biological enzyme needs to take place in a suitable environment, and if the environment is not suitable, the biological enzyme will be in a state of low activity or reversibly inactivated, or even permanently inactivated. The factors that influence the activity of biological enzymes are mainly temperature, pH, ORP, light, strong oxide, toxic substance, etc., and can be improved by heating device 14, ventilation device 15, and drug-adding device 16.
For aerobic catalytic reactions in the aerobic tank 12, the reaction principle can be expressed as
Figure BDA0002199713120000161
For the anaerobic catalytic reaction in the anoxic tank 13, the reaction principle can be expressed as
Figure BDA0002199713120000162
In addition, the aerobic tank 12 and the anoxic tank 13 also have the reaction of
Figure BDA0002199713120000163
Based on the above reaction principles, those skilled in the art can understand some specific embodiments of steps S310-S330, so as to understand the specific description of the present application for obtaining the biological enzyme activity status and hydrolysis acidification status through deep learning and prediction function analysis.
For example, referring to fig. 2, when it is detected that the COD parameter in the aerobic tank 12 exceeds the corresponding normal value, the DO parameter and the pH parameter are both normal, and the inflow rate and the COD parameter of the hydrolysis acidification tank 21 are both normal, it is analyzed that the concentrations of the decarboxylase, the dehydrogenase and the catalase in the aerobic tank 12 are insufficient, and then the decarboxylase, the dehydrogenase and the catalase in the aerobic tank are controlled to be increased.
For example, when NH is detected in the aerobic tank 123The N parameter exceeds the corresponding normal value, and the DO parameter and the pH parameter are normal, and the water inlet flow, the COD parameter and the NH of the hydrolysis acidification tank 21 are normal3When the-N parameters are normal, if the concentrations of the ammonia nitrogen oxygenase and the hydroxylamine oxidoreductase in the aerobic tank 12 are insufficient through analysis, the ammonia nitrogen oxygenase and the hydroxylamine oxidoreductase in the aerobic tank 12 are controlled to be increased.
For example, when the DO parameter in the aerobic tank 12 is detected to be lower than the corresponding normal value, the COD parameter, NH3the-N parameters exceed the corresponding normal values, and the water inlet flow, the COD parameter and the NH of the hydrolysis acidification tank3When the-N parameters are all normal, if the activity of the enzyme in the aerobic tank 12 is analyzed to be insufficient, the air inlet flow in the aerobic tank 12 is controlled to be increased.
For example, when the detected water temperature parameter in the aerobic tank 12 is lower than the corresponding normal value, the sewage in the aerobic tank 12 is controlled to be heated to the temperature (25-30 ℃) required by the first type of biological enzyme products to keep the activity.
For example, when the pH parameter and the ORP parameter in the aerobic tank 12 are detected to be lower than the corresponding normal values, the sodium carbonate solution is controlled to be added into the aerobic tank 12.
For example, when detecting the COD parameter, NH, in the hydrolysis acidification tank 213And when the-N parameters are all lower than the corresponding normal values, controlling and increasing the water inlet flow of the hydrolysis acidification tank 21.
For example, when the COD parameter, NH, in the hydrolysis acidification tank 21 is detected3And when the-N parameters exceed the corresponding normal values, controlling to reduce the water inlet flow of the hydrolysis acidification tank 21.
For example, when it is detected that the TN parameter in the anoxic tank 13 exceeds the corresponding normal value, and the DO parameter is normal, the NH in the hydrolytic acidification tank 21 and the aerobic tank 12 is hydrolyzed3When the-N parameters are all normal, if the activities of the nitrite reductase, the nitric oxide reductase and the nitrous oxide reductase in the anoxic pond 13 are insufficient through analysis, the nitrite reductase, the nitric oxide reductase and the nitrous oxide reductase in the anoxic pond 13 are controlled to be increased.
For example, when the DO parameter and the ORP parameter in the anoxic tank 13 are detected to exceed the corresponding normal values, the gas in the anoxic tank 13 is controlled to be extracted.
For example, when the COD parameters in the anoxic tank 13 exceed the corresponding normal values and the COD parameters in the hydrolysis acidification tank 21 and the aerobic tank 12 are both normal, the activities of decarboxylase, dehydrogenase and catalase in the anoxic tank 13 are analyzed to be insufficient, and the decarboxylase, dehydrogenase and catalase in the anoxic tank 13 are controlled to be increased.
For example, when the water temperature parameter in the anoxic tank 13 is detected to be lower than the corresponding normal value, the sewage in the anoxic tank 13 is controlled to be heated to the temperature (25-30 ℃) required by the second type biological enzyme product to keep the activity.
The COD parameter, DO parameter, pH parameter, and NH in the aerobic tank 12 are3The normal value ranges for the N parameters are: 62.5-100 mg/L, 2-5 mg/L, 7.2-8.5, 10-25 mg/L.
It should be noted that the normal value ranges corresponding to the COD parameter, the DO parameter, the ORP parameter, and the TN parameter in the anoxic tank 13 are respectively: 20-40 mg/L, 0.2-0.5 mg/L, -200- +200mV, 8-15 mg/L.
It should be noted that the inflow rate, COD parameter, NH in the hydrolysis acidification tank 213The normal value ranges for the N parameters are: 20 to 42m3/h、120~150mg/L、13~25mg/L。
Example four,
Referring to fig. 4, on the basis of the efficient processing method disclosed in the third embodiment, the efficient processing method claimed in the present application may further include steps S410-S420.
In the present embodiment, referring to fig. 2, the sewage treatment system 2 includes not only the sewage treatment system 1 shown in fig. 1 but also a hydrolysis acidification tank 21 and a lime filter 22. Wherein, the hydrolysis acidification tank 21 is internally provided with activated sludge for hydrolyzing and acidifying sewage, the lime filter 22 is internally provided with alkaline drugs (such as lime) for adjusting the pH value of the sewage, and the sensor is also used for detecting one or more parameters of the sewage in the hydrolysis acidification tank 21 and/or the lime filter 22. In this embodiment, the efficient processing method further includes the following two steps.
And S410, analyzing the data of the sensor to obtain the hydrolysis acidification state of the sewage in the hydrolysis acidification tank.
And step S420, controlling sewage treatment parameters of one or more links in the sewage treatment process according to the data of the sensor and the hydrolysis acidification state obtained by analysis, wherein the controlled sewage treatment parameters comprise one or more of sewage flow, sludge discharge, aeration time, stirring time, backwashing wastewater flow, sewage temperature and alkaline drug adding amount.
In this embodiment, the sensors include a COD sensor, a pH sensor, and H2The system comprises an S sensor, an ultrasonic flowmeter, an ultrasonic mud level meter and one or more of integrated multi-parameter sensors for detecting the pH value, the oxidation-reduction potential, the dissolved oxygen concentration and the water temperature of the sewage. The parameters detected by the sensors have been described aboveThe description is omitted here.
In this embodiment, see fig. 2, the processor 17 is further configured to obtain a hydrolytic acidification status of the wastewater in the hydrolytic acidification tank according to the data analysis of the sensor. For example, the sewage enters an acidification state according to the analysis of the detected reduction of COD parameter and pH parameter, and H is detected2When the S parameter is increased, the sewage obtained by analysis enters an acid decline stage. In addition, the controller 18 is further configured to control sewage treatment parameters of one or more links of the hydrolysis acidification tank 21, the lime filter 22, the heating device 14, and the backwashing device 23 according to data of the sensor and the hydrolysis acidification state obtained through analysis, where the controlled sewage treatment parameters include one or more of sewage flow, sludge discharge, aeration time, stirring time, backwashing wastewater flow, sewage temperature, and alkaline chemical dosing amount. For example, after analyzing the wastewater to enter the acid decline stage, the controller 18 may adjust the following: such as increasing the flow of sewage into the hydrolysis-acidification tank 21, increasing the discharge of sludge from the hydrolysis-acidification tank 21, increasing the aeration time of the hydrolysis-acidification tank 21, increasing the stirring time of the hydrolysis-acidification tank 21, increasing the flow of backwash wastewater in the backwash device 23, or increasing the dosage of alkaline chemicals (e.g., lime) in the lime filter 22.
In another embodiment, steps S410-S420 may be performed in parallel with steps S310-S330, i.e., the processor 17 and the controller 18 perform sewage conditioning on both the hydrolysis acidification tank 21 and the lime filter 22 and the aerobic tank 12 and the anoxic tank 13 at the same time.
Those skilled in the art will appreciate that all or part of the functions of the various methods in the above embodiments may be implemented by hardware, or may be implemented by computer programs. When all or part of the functions of the above embodiments are implemented by a computer program, the program may be stored in a computer-readable storage medium, and the storage medium may include: a read only memory, a random access memory, a magnetic disk, an optical disk, a hard disk, etc., and the program is executed by a computer to realize the above functions. For example, the program may be stored in a memory of the device, and when the program in the memory is executed by the processor, all or part of the functions described above may be implemented. In addition, when all or part of the functions in the above embodiments are implemented by a computer program, the program may be stored in a storage medium such as a server, another computer, a magnetic disk, an optical disk, a flash disk, or a removable hard disk, and may be downloaded or copied to a memory of a local device, or may be version-updated in a system of the local device, and when the program in the memory is executed by a processor, all or part of the functions in the above embodiments may be implemented.
The present invention has been described in terms of specific examples, which are provided to aid understanding of the invention and are not intended to be limiting. For a person skilled in the art to which the invention pertains, several simple deductions, modifications or substitutions may be made according to the idea of the invention.

Claims (13)

1. An efficient sewage treatment system is characterized by comprising a regulating tank, an aerobic tank, an anoxic tank, heating equipment, ventilation equipment, dosing equipment, a processor, a controller and one or more sensors;
the regulating tank is used for receiving sewage generated in the production process of the production equipment and regulating the sewage quantity and the sewage quality;
the aerobic tank is used for receiving the sewage from the regulating tank and carrying out aerobic catalytic reaction treatment on the sewage through a preset first type of biological enzyme product; the first biological enzyme product comprises ammonia nitrogen oxygenase, hydroxyl ammonia oxidoreductase, decarboxylase, dehydrogenase and catalase;
the anoxic tank is used for receiving sewage from the aerobic tank and carrying out anaerobic catalytic reaction treatment on the sewage through a preset second type biological enzyme product; the second class of bio-enzyme preparations comprises nitrite reductase, nitric oxide reductase, nitrous oxide reductase, decarboxylase, dehydrogenase, and catalase;
the heating equipment is used for respectively heating the sewage in the aerobic tank and the anoxic tank so as to ensure that the temperature of the sewage in the aerobic tank and the anoxic tank respectively reaches the temperature required by the activity of the first class of biological enzyme products and the second class of biological enzyme products;
the ventilation equipment is used for respectively adjusting the gas flow of the aerobic tank and the anoxic tank;
the dosing equipment is used for dosing at the inlet end of the aerobic tank and regulating the alkalinity of the sewage;
the sensor is used for being arranged in the aerobic tank and/or the anoxic tank and detecting one or more parameters of the sewage;
the processor is used for analyzing and obtaining the activity state of a first type of biological enzyme product in the aerobic tank and/or the activity state of a second type of biological enzyme product in the anoxic tank according to the data of the sensor;
the controller is connected with the processor and is used for controlling sewage treatment parameters of one or more links of the regulating tank, the aerobic tank, the anoxic tank, the ventilation equipment, the heating equipment and the dosing equipment according to the data of the sensor and the activity state obtained by analysis, and the controlled sewage treatment parameters comprise one or more of sewage flow, gas flow, sewage temperature, sewage alkalinity and biological enzyme concentration.
2. The sewage treatment system of claim 1, further comprising an air flotation device, a hydrolysis acidification tank, a sludge concentration tank, a sludge dewatering room, a lime filter tank, a backwashing device and a disinfection tank;
the air floatation equipment is used for receiving the sewage flowing out of the regulating tank and separating suspended matters in the sewage in a coagulation, sedimentation and air floatation mode;
the hydrolysis acidification tank is used for receiving the sewage flowing out of the air floatation equipment and hydrolyzing and acidifying the sewage by using microorganisms in the activated sludge;
the sludge concentration tank is used for receiving the activated sludge transmitted from the hydrolysis acidification tank and settling, concentrating and carrying out anaerobic digestion on the activated sludge;
the sludge dewatering room is used for receiving the activated sludge transmitted from the sludge concentration tank and dewatering the activated sludge;
the lime filter tank is used for receiving the sewage flowing out of the hydrolysis acidification tank and adjusting the pH of the sewage by using a preset alkaline medicine;
the back washing equipment is used for refluxing back washing wastewater generated by the lime filter to the hydrolysis acidification tank;
the aerobic tank is used for receiving sewage flowing out of the lime filter tank, and the anoxic tank is used for receiving sewage flowing out of the aerobic tank;
the disinfection tank is used for receiving the sewage flowing out of the anoxic tank, disinfecting the sewage by ultraviolet light, and taking the disinfected sewage as the sewage to be discharged.
3. The wastewater treatment system according to claim 2,
the sensor is also used for being arranged in the hydrolysis acidification tank and/or the lime filter tank and detecting one or more parameters of the sewage;
the heating equipment is also used for heating the sewage in the hydrolysis acidification tank so as to enable the temperature of the sewage in the hydrolysis acidification tank to reach the temperature required by hydrolysis acidification;
the processor is also used for analyzing and obtaining the hydrolysis acidification state of the sewage in the hydrolysis acidification tank according to the data of the sensor;
the controller is further configured to control sewage treatment parameters of one or more links of the hydrolysis acidification tank, the lime filter tank, the heating device and the backwashing device according to the data of the sensor and the hydrolysis acidification state obtained through analysis, wherein the controlled sewage treatment parameters include one or more of sewage flow, sludge discharge, aeration time, stirring time, backwashing wastewater flow, sewage temperature and alkaline drug input amount.
4. The wastewater treatment system of any of claims 1-3, wherein the sensor comprises a COD sensor, a DO sensor, a pH sensor, NH3-N sensor, TN sensor, H2S sensor and ultrasonic flow rateThe device comprises a meter, an ultrasonic mud level meter, a vortex shedding flowmeter and one or more integrated multi-parameter sensors for detecting the pH value, the oxidation-reduction potential, the dissolved oxygen concentration and the water temperature of the sewage.
5. The wastewater treatment system of claim 1, wherein one or more first ceramic filter materials are distributed in the aerobic tank, and the first type of bio-enzyme product is attached to the first ceramic filter materials; one or more second ceramic filter materials are distributed in the anoxic tank, and the second biological enzyme product is attached to the second ceramic filter materials.
6. The wastewater treatment system of claim 5, wherein the processor is configured to obtain the activity status of the first type of bio-enzyme preparation in the aerobic tank and/or the activity status of the second type of bio-enzyme preparation in the anoxic tank based on the data analysis of the sensor; wherein the process of analyzing the data of the sensor by the processor comprises: inputting the data of the sensor into a pre-established first analysis model, and predicting to obtain the variation of one or more parameters; determining the activity state of the first type of bio-enzyme preparation and/or the activity state of the second type of bio-enzyme preparation according to the variation of the one or more parameters;
the first analysis model is a model obtained by making a training set by using data of the sensor in a historical stage and training through machine learning.
7. The wastewater treatment system of claim 3, wherein the processor is further configured to obtain a hydrolytic acidification status of the wastewater in the hydrolytic acidification tank according to the data analysis of the sensor; wherein the data analysis process of the sensor by the processor comprises: inputting the data of the sensor into a pre-established second analysis model, and predicting to obtain the variation of one or more parameters; determining the hydrolysis acidification state of the sewage in the hydrolysis acidification tank according to the variation of one or more parameters;
the second analysis model is a model obtained by making a training set by using data of the sensor in a historical stage and training through machine learning.
8. The efficient treatment method for the sewage treatment system is characterized in that the sewage treatment system comprises an aerobic tank, an anoxic tank and one or more sensors, wherein a first type of biological enzyme product for carrying out aerobic catalytic reaction treatment on sewage is preset in the aerobic tank, and a second type of biological enzyme product for carrying out anaerobic catalytic reaction treatment on sewage is preset in the anoxic tank; the processing method comprises the following steps:
acquiring data of the sensor, wherein the sensor is used for detecting one or more parameters of the sewage in the aerobic tank and/or the anoxic tank;
analyzing the data of the sensor to obtain the activity state of a first type of biological enzyme product in the aerobic pool and/or the activity state of a second type of biological enzyme product in the anoxic pool; the first biological enzyme product comprises ammonia nitrogen oxygenase, hydroxyl ammonia oxidoreductase, decarboxylase, dehydrogenase and catalase; the second type of bio-enzyme preparation comprises nitrite reductase, nitric oxide reductase, nitrous oxide reductase, decarboxylase, dehydrogenase and catalase;
and controlling sewage treatment parameters of one or more links in the sewage treatment process according to the data of the sensor and the activity state obtained by analysis, wherein the controlled sewage treatment parameters comprise one or more of sewage flow, gas flow, sewage temperature, sewage alkalinity and biological enzyme concentration.
9. The efficient treatment method according to claim 8, wherein the sewage treatment system further comprises a hydrolysis acidification tank and a lime filter tank, wherein activated sludge for hydrolyzing and acidifying sewage is arranged in the hydrolysis acidification tank, alkaline drugs for adjusting the pH value of the sewage are arranged in the lime filter tank, and the sensor is further used for detecting one or more parameters of the sewage in the hydrolysis acidification tank and/or the lime filter tank; the processing method further comprises:
analyzing the data of the sensor to obtain the hydrolysis acidification state of the sewage in the hydrolysis acidification tank;
and controlling sewage treatment parameters of one or more links in the sewage treatment process according to the hydrolysis acidification state of the sewage in the hydrolysis acidification tank, wherein the controlled sewage treatment parameters comprise one or more of sewage flow, sludge discharge, aeration time, stirring time, sewage temperature and alkaline drug adding amount.
10. A high efficiency process as recited in claim 9,
one or more parameters of the sewage in the aerobic tank and/or the anoxic tank comprise DO (data only) parameters, pH (potential of Hydrogen) parameters, TN (twisted nematic) parameters and NH (hydrogen)3-one or more of N parameters, water temperature parameters, ORP parameters, gas flow;
one or more parameters of the sewage in the hydrolysis acidification tank comprise COD parameter, pH parameter and NH3-one or more of N parameters, water intake flow;
when detecting that the COD parameter in the aerobic tank exceeds a corresponding normal value, the DO parameter and the pH parameter are normal, and the inflow rate and the COD parameter of the hydrolysis acidification tank are normal, analyzing to obtain that the concentration of decarboxylase, dehydrogenase and catalase in the aerobic tank is insufficient, and controlling to increase the decarboxylase, dehydrogenase and catalase in the aerobic tank;
when NH in the aerobic tank is detected3The N parameter exceeds the corresponding normal value, the DO parameter and the pH parameter are normal, and the water inlet flow, the COD parameter and the NH of the hydrolysis acidification tank3When the-N parameters are normal, if the concentrations of the ammonia nitrogen oxygenase and the hydroxylamine oxidoreductase in the aerobic tank are insufficient through analysis, the ammonia nitrogen oxygenase and the hydroxylamine oxidoreductase in the aerobic tank are controlled to be increased;
when detecting that the DO parameter in the aerobic tank is lower than the corresponding normal value, the COD parameter and the NH parameter3the-N parameters exceed the corresponding normal values, and the water inlet flow, the COD parameter and the NH of the hydrolysis acidification tank3-N ginsengWhen the number average is normal, analyzing to obtain that the activity of the biological enzyme in the aerobic tank is insufficient, and controlling to increase the air inlet flow in the aerobic tank;
when the detected water temperature parameter in the aerobic tank is lower than the corresponding normal value, controlling and heating the sewage in the aerobic tank to the temperature required by the activity of the first type of biological enzyme products;
when the pH parameter and the ORP parameter in the aerobic tank are detected to be lower than the corresponding normal values, controlling and adding a sodium carbonate solution into the aerobic tank;
when detecting COD parameter and NH in the hydrolytic acidification tank3-controlling the increase of the water inflow of the hydrolysis acidification tank when the N parameters are all lower than the corresponding normal values;
when COD parameter and NH in the hydrolytic acidification tank are detected3When the N parameters exceed the corresponding normal values, controlling and reducing the water inlet flow of the hydrolysis acidification tank;
when the TN parameter in the anoxic tank exceeds the corresponding normal value, the DO parameter is normal, and NH in the hydrolysis acidification tank and the aerobic tank3When N parameters are normal, analyzing to obtain that the activities of nitrite reductase, nitric oxide reductase and nitrous oxide reductase in the anoxic pond are insufficient, and controlling to increase the nitrite reductase, nitric oxide reductase and nitrous oxide reductase in the anoxic pond;
when detecting that the DO parameter and the ORP parameter in the anoxic tank exceed corresponding normal values, controlling to extract gas in the anoxic tank;
when the COD parameters in the anoxic tank exceed corresponding normal values and the COD parameters in the hydrolysis acidification tank and the aerobic tank are both normal, analyzing to obtain that the activities of decarboxylase, dehydrogenase and catalase in the anoxic tank are insufficient, and controlling to increase the decarboxylase, dehydrogenase and catalase in the anoxic tank;
and when the detected water temperature parameter in the anoxic tank is lower than the corresponding normal value, controlling to heat the sewage in the anoxic tank to the temperature required by the activity of the second type of biological enzyme products.
11. The high efficiency process of claim 9 or 10, wherein the sensor comprises a COD sensor, a DO sensor, a pH sensor, NH3-N sensor, TN sensor, H2The system comprises an S sensor, an ultrasonic flowmeter, an ultrasonic mud level meter, a vortex shedding flowmeter and one or more integrated multi-parameter sensors for detecting the pH value, the oxidation-reduction potential, the dissolved oxygen concentration and the water temperature of the sewage.
12. A method for efficient processing as recited in claim 11, wherein the process of analyzing the data of the sensor comprises:
inputting the data of the sensor into a pre-established first analysis model, predicting to obtain the variation of one or more parameters, and determining the activity state of the first type of biological enzyme product and/or the activity state of the second type of biological enzyme product according to the variation of the one or more parameters;
and/or inputting the data of the sensor into a pre-established second analysis model, predicting to obtain the variation of one or more parameters, and determining the hydrolysis acidification state of the sewage in the hydrolysis acidification tank according to the variation of one or more parameters;
the first analysis model or the second analysis model is a model obtained by making a training set by using data of the sensor in a historical stage and training through machine learning.
13. A computer-readable storage medium characterized by comprising a program executable by a processor to implement the efficient processing method according to any one of claims 8 to 12.
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