10743 results about "Aeration" patented technology

The invention discloses an expressway service area sewage treatment system based on the Internet of Things, and relates to the technical field of sewage treatment.The expressway service area sewage treatment system is provided with a multi-modal sensor and an edge computing unit, real-time monitoring and data processing of sewage flow and water quality parameters are achieved, the water quality change trend and the parameter change rate are rapidly recognized, and the sewage treatment efficiency is improved. The sensing capacity of the system to load changes is remarkably improved, the system conducts real-time adjustment according to the water quality changes, fluctuation of the treatment effect and waste of energy consumption are avoided, an LSTM model is adopted for conducting dynamic prediction on water quality parameters, in combination with real-time monitoring data, the aeration strategy is optimized through intelligent self-adaptive adjustment and closed-loop fine control, and the aeration efficiency is improved. The LSTM model can predict the future sewage load and ammonia nitrogen concentration change, the aeration intensity and time are adjusted in advance, the fluctuation of the ammonia nitrogen concentration is quickly responded through PID control and closed-loop control of a feedback mechanism, and the ammonia nitrogen removal efficiency and the aeration accuracy are improved.

The present invention relates to the technical field of waste plastic processing. Disclosed is a waste plastic recycling and regeneration device having crushing and cleaning functions. The present invention aims to solve the technical problems of part of powdered impurities in semi-finished plastic particles being easily affected by rolling, vibration and impact of plastic to scatter and flow away, seriously affecting subsequent feeding and processing and polluting the surrounding working environment. The present invention comprises an outer cylinder, an ultrasonic transducer is sleeved at the middle of the outer wall of the outer cylinder, and a top cover is sleeved at the top of the outer cylinder. According to the present invention, a continuously falling water curtain can be formed at the top of the inner cylinder, to continuously intercept and purify part of powdered and scattered impurities; leakage and discharge of first leakage holes and second leakage holes can be further regulated and controlled, and sealing partition, mesh layer screening and centralized discharge are implemented; part of powdered and scattered impurities is continuously intercepted and purified; and an aeration pipe aerates cleaning water in an inner cylinder to promote the stirring and tumbling of semi-finished plastic particles in the cleaning water.

The invention discloses a sewage plant total nitrogen concentration real-time prediction and process regulation and control method based on an optimization integration algorithm, and belongs to the technical field of environment monitoring and treatment. According to the method, sewage plant data are monitored and collected, a sliding window and a time sequence are combined to analyze and clean the data and reconstruct features, total nitrogen concentration strong correlation variables are screened, data quality is standardized and optimized, a plurality of machine learning algorithms are adopted to construct a prediction model, and an optimal model is optimized through cross validation and performance evaluation. The robustness is improved by global parameter adjustment in combination with optimization algorithms such as a particle swarm, process schemes such as aeration intensity and carbon source adding are generated through multi-objective optimization after containerization deployment, and a whole-process intelligent management and control system is constructed by integrating virtual verification, graded early warning and a self-adaptive feedback mechanism. According to the method, the problems of detection lag, insufficient model generalization ability, regulation response delay and the like of a traditional method are solved, and the operation energy consumption and the medicament cost are remarkably reduced while it is guaranteed that the effluent quality stably reaches the standard.

The invention relates to the technical field of sewage treatment, in particular to a liftable aeration device and a sewage treatment system.The system comprises a data acquisition module for acquiring dissolved oxygen concentration, gas flow and air pressure at multiple moments before each moment in the sewage treatment process and recording the dissolved oxygen concentration, the gas flow and the air pressure as historical data sets of each moment; the feature analysis module is used for determining the gas supply stability at each moment; determining a first trend degree, a second trend degree, a first collaborative factor and a second collaborative factor of each fluctuation moment in the historical data set of each moment; determining a relative collaboration degree and a forward feedback index at each moment; the aeration control module is used for determining a proportionality coefficient and an integral parameter of a PID controller at each moment; and in combination with a PID (Proportion Integration Differentiation) controller, obtaining a gas flow control value at each moment, and controlling the concentration of the dissolved oxygen in the sewage. The gas flow can be more accurately adjusted, the control accuracy of the concentration of dissolved oxygen in sewage is improved, and the sewage treatment efficiency is improved.

The invention provides a multi-source data fusion modeling method and system in an aeration process, and is applied to the field of intelligent aeration control in sewage treatment. The method comprises the steps that multi-source time sequence data such as dissolved oxygen, turbidity, flow, temperature, power and pool bottom pressure pulsation signals are collected, dissolved oxygen response lag is calculated through cross-correlation analysis with power change as the reference, time sequence alignment is carried out, and a dissolved oxygen reference interval is predicted by utilizing calibration data in combination with a physical constraint LSTM model; performing spectral analysis on the pressure pulsation signal to extract a gas-liquid coupling characteristic value, and generating a cooperative regulation instruction of the frequency of the blower and the rotating speed of the stirrer based on the information; by means of the scheme, control oscillation caused by lag of the dissolved oxygen sensor can be effectively overcome, online monitoring of bubble form distribution is achieved, the gas-liquid mass transfer efficiency is improved, invalid aeration is avoided, and system energy consumption is remarkably reduced on the premise that stable effluent quality is guaranteed.

The food material cleaning tank comprises an outer tank and a draining tank detachably arranged in the outer tank, the bottom of the draining tank is provided with an aeration channel capable of being communicated with an external air source, and the inner bottom wall of the draining tank is provided with aeration holes which are communicated with the aeration channel and used for blowing air into the draining tank. An air guide pipe with an upward air outlet end is arranged below the draining groove, and an assembly opening for the upper end of the air guide pipe to be detachably inserted into so as to be communicated with the aeration channel is formed in the outer bottom wall of the draining groove. The aeration holes in the inner bottom wall of the draining tank directly blow air into the draining tank, and the blown air cannot be blocked by the bottom wall of the draining tank, so that boiling turbulent flow is formed in the draining tank, pesticide residues and dirt on the surface of an object to be cleaned are powerfully stripped, and the cleaning effect is improved; the aeration channel at the bottom of the draining tank is detachably connected with the air guide pipe at the bottom of the outer tank, so that whether the air channel is communicated or not can be selected according to needs.

The invention relates to the technical field of biological sewage treatment, in particular to a device and a method for improving the autotrophic nitrogen removal performance of an MABR (Membrane Ammonia Baffled Reactor). Coupling of partial nitrosation reaction and anaerobic ammonia oxidation reaction is completed; through a circular reaction zone and a membrane reaction zone in the reaction tank, nitrate nitrogen generated by anaerobic ammonia oxidation and excessive nitrite nitrogen during instability regulation are circularly removed, and the purpose of improving the total nitrogen removal effect of the reactor is achieved; a proper amount of a sodium nitrite solution is added at proper time, the concentration of free nitrous acid in a mixed solution of the reactor is increased, and the intermittent proportion of MABR intermittent aeration is synchronously regulated and controlled, so that the activity of nitrite oxidizing bacteria is synergistically inhibited by low dissolved oxygen and high free nitrous acid, and the unstable short-cut nitrification reaction is recovered again; the autotrophic nitrogen removal performance of the reactor is improved.

The invention relates to the technical field of sewage treatment, in particular to a sewage treatment aeration control method and system.The method comprises the steps that according to collected historical data, abnormal values are removed through intelligent calculation in combination with optimization and correction, an accurate sample data set is obtained and then classified through a clustering model, and all classifications are subjected to training and verification testing; a trained BP neural network model is obtained, a follow-up controller outputs accurate aeration quantity through the BP neural network model according to latest data to control each aeration device, and the increase / decrease of the air quantity of the biochemical pool is automatically adjusted; the blast volume of the biochemical pool is controlled and the air volume matching working condition is controlled according to the inlet water quality and the water volume, so that the control precision of the aeration rate in the sewage treatment process can be effectively improved, the energy consumption waste is reduced, the process control efficiency is improved, the air volume of the biochemical pool under different working conditions is ensured to be at the optimal value, the outlet water quality stability and the standard-reaching rate are ensured, and the power consumption cost is reduced; the method is suitable for sewage treatment plants of various types and scales, and has a wide market application prospect.

The invention provides a sewage treatment aeration control system and method based on multi-parameter collaborative optimization. The method comprises the following steps: acquiring multi-sensor data of COD (Chemical Oxygen Demand), BOD5 (Biochemical Oxygen Demand), DO (Dissolved Oxygen Demand), ammonia nitrogen, ORP (Oxidation Reduction Potential), pH (Potential of Hydrogen), water inlet flow and sludge concentration of wastewater in an aeration tank by utilizing a multi-parameter sensor module; according to the dynamic correction oxygen mass transfer coefficient and the feedforward parameter, establishing a relationship between the water inlet load and aeration; calculating the air volume of an air blower and the fine adjustment value of the opening degree of a butterfly valve through a PID control algorithm and feedback parameters, and correcting the aeration quantity to obtain a total air volume target value; and adjusting the opening degree and the rotating speed of a guide vane of the air blower according to the self-adaptive PID control parameters and the corrected total air volume target value by utilizing a self-adaptive PID controller, and adjusting the opening degree of a butterfly valve according to a gradient butterfly valve adjusting strategy. The output of the air blower is optimized by adopting self-adaptive PID, and the opening degree of the butterfly valve of each biological tank is dynamically adjusted through a gradient valve adjusting strategy, so that the accurate control of the aeration rate is realized; the sewage treatment effect is ensured.

The invention relates to the technical field of sewage plant-oriented carbon neutralization regulation and control scheme design, in particular to a sewage plant-oriented carbon neutralization regulation and control method and a sewage plant-oriented carbon neutralization regulation and control system. The method comprises the steps of collecting water quality, energy consumption and gas emission data in real time through a multi-source sensor, inputting the data into a space-time diagram convolutional network to predict a carbon emission trend after edge computing node cleaning, and dynamically optimizing an aeration rate and a sludge reflux ratio based on a fuzzy PID controller. A whole-process carbon footprint is tracked by adopting a life cycle evaluation method, a multi-target compensation strategy is generated in combination with an improved NSGA-III algorithm, and photovoltaic, biogas and green power resources are scheduled preferentially. A digital twin platform and a block chain evidence storage module are innovatively integrated, the former calibrates model parameters in real time, and the latter generates a non-tampering carbon neutralization voucher. According to the method, the problems of one-sided data, regulation and control lag and insufficient credibility of a traditional method are solved, and minute-level sensing, prediction and offset closed-loop control of carbon emission in the sewage treatment process is realized.

The invention provides an intelligent aeration optimization control method and system for a sewage plant, and relates to the technical field of sewage treatment.The method comprises the steps that water quality, water quantity and aeration quantity data are collected in real time; analyzing and processing the data of the water quality, the water quantity and the aeration quantity to form a sewage treatment process data set which comprises the change rate of a water quality index, the fluctuation condition of the water quantity and aeration efficiency information; and according to the sewage treatment process data set, establishing and training a dynamic mathematical model in the sewage treatment process to reflect the relationship among the water quality, the water quantity and the aeration quantity. Real-time monitoring, model prediction and intelligent adjustment technologies are integrated, the aeration control strategy is effectively optimized, the sewage treatment efficiency is improved, the stability of water quality is ensured, and energy conservation and environmental protection are promoted.

The invention relates to the technical field of sewage treatment, and discloses an MABR (Membrane Aerated Baffled Reactor) sewage treatment device which comprises an upper bracket and a lower bracket, the upper bracket and the lower bracket are fixedly connected through a connecting frame, a membrane wire group is mounted between the upper bracket and the lower bracket, the interior of the lower bracket is hollow, and the interior of the lower bracket is communicated with the membrane wire group; the top of the lower support fixedly communicates with a Y-shaped air inlet pipe, and a stirring assembly is arranged on the back face of the lower support. The stirring assembly comprises a gas collecting frame fixed to the back face of the lower support through a support. According to the sewage treatment device for the MABR membrane bioreactor, the driving assembly mounted on the drainage pipe can be used for rotating and driving the plurality of aeration pipes, so that sewage can be stirred in a large range, the contact area of water and a biological membrane on the outer side of the membrane wire group is increased, and meanwhile, an auxiliary oxygen supply effect is also achieved, so that the reaction efficiency is enhanced; and the washing assembly can be matched to wash and clean the membrane filament group, so that the practicability of the equipment is improved.

The invention discloses a gas self-excitation modulation device, an enhanced pollution aeration treatment system and an application method of the enhanced pollution aeration treatment system, through the arrangement of the gas self-excitation modulation device, intermittent modulation airflow matched with an orifice bubble generation process is formed, the instantaneous pulse acting force for upward separation of bubbles is increased, the bubble generation time is shortened, and the aeration bubble size is reduced; and the mass transfer rate of the gas-liquid interface is further improved. According to the invention, the existing laid aerator does not need to be replaced, the aerator material does not need to be modified, and the method is widely applicable to microporous aerators in any form; a water phase does not need to be driven to flow, so that energy consumption is greatly reduced, and adverse disturbance to a target water body is avoided; compared with a gas dissolving method and a jet flow air entraining method, the technology only drives a gas phase to enter a liquid phase, energy is saved, and meanwhile full-amount treatment of target liquid can be achieved. In addition, through sectional arrangement of the oscillation cavity self-excitation unit and the outflow unit, batch application can be carried out.

The invention discloses an intelligent dosing system and method based on machine learning, and the method comprises the steps: S1, collecting fluidized bed operation parameters and water quality characteristic data in real time, including water flow dynamic parameters, water quality index parameters and particle morphology parameters, and constructing a time sequence characteristic database; s2, constructing a dynamic dosing model based on the fluidized bed by using data in the time sequence characteristic database, and performing joint prediction on the medicament type, the dosing amount and the operation parameters; s3, according to a prediction result output by the model, controlling the agent dosage, the agent concentration, the water flow speed and the aeration intensity; and S4, monitoring the fluidized bed and dosing control parameters in real time, and dynamically correcting the fluidized bed parameters in combination with the effluent turbidity of the fluidized bed and the particle sedimentation efficiency, so as to solve the problems that the sewage treatment effect in the prior art is poor, and medicament waste, substandard treatment and secondary environmental pollution are possibly caused.

The invention discloses a system and a method for degrading organic wastewater through cooperation of hydrodynamic cavitation and plasma. The system comprises a liquid storage tank, an aeration device and a plasma rotary cavitation reactor, the plasma rotary cavitation reactor comprises a reactor shell, and the reactor shell is provided with an organic wastewater inlet and an organic wastewater outlet; the aeration device is communicated with the organic wastewater inlet; and the liquid storage tank is communicated with the aeration device. The plasma discharge technology and the hydrodynamic cavitation technology are fused, active substances such as ozone and hydroxyl radicals are generated through dielectric barrier plasma discharge, degradation of organic wastewater is enhanced in cooperation with the hydrodynamic cavitation technology, and the degradation effect of the wastewater is improved; an upper row of teeth and a lower row of teeth with opposite tooth inclination angles are arranged on the rotor, so that fluid is triggered to circularly flow between a cavitation area and a discharge area, and the gas-liquid mass transfer efficiency is further improved; by arranging the upper jet flow cavitation channel and the lower jet flow cavitation channel which are variable in inner diameter and opposite in direction, the pressure drop value when fluid flows through the channels is changed, and the cavitation effect is enhanced.

The invention provides a sewage AI intelligent management and control system based on a neural network algorithm, which comprises multi-source data acquisition units, an algorithm processing unit and an execution feedback unit, and is characterized in that the multi-source data acquisition units are deployed at a water inlet and a water outlet of a sewage treatment assembly line and in a biological reaction tank; comprising a fast parameter detection array composed of a pH sensor, a conductivity sensor, a dissolved oxygen sensor, a turbidity sensor, a temperature sensor and an ORP sensor. The process state monitoring group consists of an aeration equipment rotating speed sensor, a reflux pump flowmeter and a sludge concentration meter; the fast parameter detection array and the process state detection group are connected with the edge computing node through an industrial bus, perform sliding window mean filtering preprocessing on original data, generate regulation and control instructions of aeration rate, reflux ratio and sludge discharge frequency through model calculation, and send the regulation and control instructions to the execution unit; the complete refined AI intelligent control sewage treatment system based on the neural network algorithm is realized.

The invention relates to the technical field of sewage treatment, in particular to aerobic granular sludge integrated sewage treatment equipment which comprises an aerobic tank, and the aerobic tank comprises an outer tank body and an inner tank body; a turntable is rotationally mounted on the inner bottom surface of the inner tank body, and a plurality of groups of aeration mechanisms are also fixedly mounted on the turntable; the aeration mechanism comprises an aeration assembly, a dredging assembly is arranged on the aeration assembly, and a pressing assembly used in cooperation with the dredging assembly is arranged on the inner wall of the inner tank body; a driving mechanism is fixedly mounted on the top surface of the inner tank body and is in transmission connection with the periphery of the hollow shaft; a transmission assembly is arranged on the periphery of the hollow shaft and is in transmission connection with a plurality of floating foam cleaning assemblies. According to the sewage treatment device, the floating foam cleaning step can be transferred into the settling zone in the sewage treatment process, and cleaning is relatively easy. The dredging assembly is sequentially and periodically pressed by the pressing assembly, so that the aeration assembly is periodically and automatically dredged.

The invention discloses an SND-ED intelligent wastewater treatment deep denitrification system and a control method thereof, and particularly relates to the technical field of wastewater treatment. Nitrification and denitrification reaction environments are provided through the reactor, dissolved oxygen, oxidation-reduction potential and temperature data are collected in real time in cooperation with the data monitoring module, the data are transmitted to the control module, and the control module controls the control module based on an ORP deviation index and a temperature change rate abnormal index. Aeration intensity, aeration time and carbon source dosage are dynamically regulated and controlled through fuzzy logic, synchronous proceeding of nitrification and denitrification is ensured, aeration and carbon source dosage are adjusted according to the dynamic balance state of DO, operation frequency and intensity of an aeration device are optimized through a prediction model based on feedback control, and the carbon source dosage is adjusted. The energy consumption is reduced, and the denitrification efficiency is optimized, so that the intelligent and stable deep denitrification wastewater treatment effect is realized.

The invention discloses an integrated water quality monitoring and processing system for aquaculture, and the system comprises a data collection module which is used for obtaining dissolved oxygen, ammonia nitrogen, pH value, temperature and flow data from a plurality of spatial distributed sensing nodes; the data preprocessing module is used for completing noise removal, correction and time sequence synchronization; the water quality state estimation module is used for outputting real-time multi-point water quality states based on a distributed unscented Kalman filtering algorithm; the space-time fluid modeling module is used for constructing a Lagrange model to extract a flow velocity field and a diffusion coefficient; the scheduling optimization module is used for generating an aeration and dosing scheme by adopting an improved multi-target Pareto optimization algorithm based on a space-time sensitive boundary; the execution module is used for controlling an air blower, an aeration pipe and a dosing pump to complete oxygenation and dosing operations; and the self-adaptive updating module is used for collecting feedback data to adjust filtering gain and optimizing parameters so as to realize closed-loop control of the system.

The invention discloses a rapid culture method of aerobic granular sludge, and belongs to the technical field of sewage treatment. According to the invention, pharmaceutical factory sludge is used as a raw material to prepare pharmaceutical factory sludge biochar; an SBR reactor is constructed and operates in a water inlet-anoxic-aeration-precipitation-drainage mode, and pharmaceutical factory sludge biochar is added in the sludge inoculation process to promote rapid formation of system particles and stable operation. According to the method disclosed by the invention, the mature aerobic granular sludge with the capabilities of removing organic matters and synchronously denitrifying can be obtained by culturing for 30 days on average, so that the granulation process of the sludge is effectively improved, the forming time of the aerobic granular sludge is remarkably shortened, and the aerobic granular sludge has higher long-term operation stability.

The air supply type jet aerator comprises a water inlet pipe, one end of the water inlet pipe is connected with an air inlet unit through a first connecting pipe, and the end, away from the first connecting pipe, of the air inlet unit is connected with a second-stage mixing pipe through a second connecting pipe; the end, away from the second connecting pipe, of the second-stage mixing pipe is connected with a third-stage mixing pipe through a third connecting pipe, the end, away from the third connecting pipe, of the third-stage mixing pipe is connected with a spray head through a fourth connecting pipe, the inner wall of the water inlet pipe is connected with a loop assembly, and the inner wall of the second-stage mixing pipe is connected with a contraction unit. And the inner wall of the third-stage mixing pipe is connected with a turnover crushing mechanism. The invention also discloses a jet aeration method of the air supply type jet aerator with porous air inlet and compression circulation. The air supply type jet aerator solves the problem that the existing air supply type jet aerator is easy to cause sludge bulking.

The invention relates to the technical field of sewage treatment control, in particular to a sewage treatment control system based on data analysis. The system comprises a data acquisition module, a water quality prediction module, a dynamic adjustment module and an energy-saving feedback module. The data acquisition module acquires water quality historical data, environmental factor data and sewage flow data, the water quality prediction module is used for establishing a long-short term memory network model for predicting the water quality change trend, and the dynamic adjustment module is used for analyzing the relationship between water quality indexes and equipment operation parameters by using a Pearson's correlation coefficient analysis method. An energy-saving feedback module is adopted; a genetic algorithm is adopted to find an optimal operation combination among the devices; feedback adjustment is performed on the aeration rate, the water pump flow rate and the stirring speed parameters of the dynamic adjustment module, so that when the water quality changes, the operation parameters of the devices are adjusted in time, and the sewage treatment effect is ensured; and energy consumption is reduced.

The invention belongs to the technical field of crossing of environmental engineering and ocean dynamics, and particularly relates to a tidal dynamics prediction method and control device for a seawater desulfurization system, and the method comprises the steps: constructing a time-space coupling prediction model fusing multi-source hydrological observation data, and introducing a nonlinear dynamic weight distribution mechanism; the influence of terrain constraint, wind stress disturbance and upstream runoff on tidal propagation is quantified in real time, and a rolling prediction sequence of tide level phase, flow velocity gradient and salinity disturbance in the next three hours is output; the prediction result drives the scheduling of a desulfurization pump set, the adjustment of spraying density and the matching of aeration intensity, and the model weight is corrected on line based on the actually measured feedback of desulfurization efficiency to form closed-loop control. By means of the technical scheme, accurate cooperation of the operation parameters of the desulfurization system and tidal dynamics is achieved, meaningless energy consumption is reduced while the desulfurization efficiency is guaranteed, and the utilization rate of the desulfurization agent and the stability of the system are improved.

The invention relates to an aeration fan predictive maintenance method, system and equipment based on multi-modal perception and adaptive learning and a medium. The method comprises the following steps: generating a time sequence data set through synchronous acquisition and combined noise reduction processing of a sensor group; generating a multi-dimensional feature vector through time-frequency feature spectrum characterization and interpretability contribution analysis in combination with dynamic weight distribution coupled by environmental factors; on the basis of the multi-dimensional feature vectors, real-time anomaly detection is carried out at the edge end through a lightweight model, and abnormal data fragments are uploaded to the cloud end; and performing cross-sensor bidirectional reasoning on abnormal data fragments through a reasoning model deployed at the cloud, reconstructing a sensor topological graph, intelligently triggering elastic incremental learning, cooperatively processing equipment degradation trend analysis, multi-source evidence fusion and space calibration, and outputting a life prediction result and a fault thermodynamic diagram. According to the method, the core pain points of high early fault omission ratio, insufficient model robustness and the like are solved, and cost reduction, efficiency improvement and equipment life prolonging are realized while the diagnosis precision is maintained.

The invention discloses a sewage treatment plant greenhouse gas optimization control method and device and a storage medium, and relates to the technical field of environmental protection, and the method comprises the steps: discretizing a sewage treatment process of an aeration tank into a plurality of complete mixing reactors connected in series, and constructing a sewage treatment process mechanism model based on an activated sludge model; optimizing parameters of the sewage treatment process mechanism model according to the target greenhouse gas concentration spatial distribution data, the target greenhouse gas emission flux and the water quality spatial distribution data to obtain a digital twinborn model; based on a digital twinborn model, a dissolved oxygen set value of each complete mixing reactor partition in an aeration tank is used as a decision variable, a multi-objective evolutionary algorithm is adopted for solving, a Pareto optimal control strategy is generated, and the technical problem that in the prior art, an optimal control strategy of greenhouse gas is not accurate is solved. And precise quantification and collaborative optimization control of greenhouse gas emission are realized.

The invention discloses an intelligent control method for water treatment aeration. The intelligent control method comprises the following steps: S1, setting a preset condition; s2, measuring water quality data, wherein the data comprises chemical oxygen demand (COD), ammonia nitrogen amount, water temperature and water flow velocity; s3, an intelligent aeration algorithm is set, the intelligent aeration algorithm comprises an air inflow calculation model, the air supply amount of a fan and the opening degree of a valve are adjusted according to the result of the air inflow calculation model, and therefore the dissolved oxygen content, namely the DO value, is adjusted; s4, performing operation calculation according to the current water quality data through an intelligent aeration algorithm to obtain a suggested air volume of the intelligent aeration algorithm; intelligent aeration algorithm model training is carried out by collecting data of a fan, a regulating valve, dissolved oxygen, ammonia nitrogen and the like, dynamic response can be carried out on a training result biochemical pool aeration link according to the inlet water quality and water quantity of a sewage treatment plant and the water quality and water quantity of a water outlet of the sewage treatment plant, and stable process indexes are achieved through aeration according to needs.

The invention relates to the technical field of sewage treatment, in particular to an aerobic aeration treatment system for plateau domestic sewage treatment, which comprises a pretreatment unit, a biological treatment unit, an advanced treatment unit and a recycling unit which are connected in sequence, the system further comprises a data acquisition module, an aerobic aeration intelligent regulation and control module, a biochemical environment constant-temperature maintenance module, a carbon-nitrogen proportion and backflow dynamic regulation and control module, a digital twinning and sludge characteristic simulation module and an energy collaborative scheduling module. Compared with the prior art which adopts a standard aeration strategy and cannot adapt to the special environment of low air pressure and low oxygen partial pressure of the plateau, the system can accurately adapt to the plateau environment by integrating real-time atmospheric pressure and water temperature monitoring, dynamically calculating the oxygen saturation solubility and correcting the aeration control target according to the oxygen saturation solubility, so that the aeration control target is optimized. Stable supply of dissolved oxygen required by biochemical reaction is ensured, and the technical bottleneck of low efficiency of traditional sewage treatment in plateau regions is fundamentally overcome.

The invention discloses a shallow lake water quality pollution treatment system and method, and relates to the technical field of water pollution, and the method comprises the steps: S1, building a disturbance intensity index DIX and ammonia nitrogen concentration change curve, achieving the quantitative recognition of bottom mud disturbance and pollution release behaviors, training a rebound risk prediction model according to the quantitative recognition, and outputting a rebound risk prediction coefficient Ft; and the capability of pre-judging the rebound trend of the ammonia nitrogen pollution is effectively improved. In the step S2, the adjusted aeration response frequency BAF is dynamically generated based on the rebound risk prediction coefficient Ft value, so that the aeration behavior is converted into a risk-driven system from a traditional timing system, the energy consumption and disturbance intensity are further reduced, and the treatment efficiency is improved. And S3, further introducing a governance residual coefficient GRC, constructing a complete feedback closed loop, and realizing accurate evaluation and secondary strategy optimization of the governance effect of each round, thereby avoiding the problem of effect back-off or excessive disturbance after governance.

The invention discloses wastewater treatment equipment and method used in a starch sugar production process, and belongs to the technical field of starch sugar production wastewater treatment. The shell comprises an inner shell and an outer shell, the bottom of the outer shell is fixedly provided with a drainage valve, the top of the inner shell is fixedly connected with a fixing frame, the fixing frame is fixedly provided with a power mechanism, the outer wall of the top of the inner shell is provided with a scum collecting mechanism, the bottom of the inner shell is fixedly provided with a cleaning cavity, and the side wall of the cleaning cavity extends outwards to form a blow-off pipe; a cleaning mechanism is fixedly arranged on the cleaning cavity, a filter cavity is fixedly arranged at the upper part of the cleaning cavity, a rotary filter screen is rotationally connected in the filter cavity, and an aeration disc is fixedly arranged at the top of the filter cavity. By arranging the power mechanism, when the driving motor rotates forwards and rapidly, rapid and efficient mixing of wastewater and a flocculating agent is promoted, and when the driving motor rotates backwards and rotates slowly, aeration operation is carried out in cooperation with the aeration disc, and soluble organic substances in the wastewater are removed. The method is mainly used for treating the starch sugar production wastewater.

The invention discloses a precise sewage aeration method, and relates to the field of water, wastewater, sewage or sludge treatment, the method comprises a feed-forward model and a feedback model, the feed-forward model collects historical data of aeration tank operation parameters, environmental parameters and oxygen demand, and a decision tree is iteratively generated to correct errors and determine a target dissolved oxygen value; the feedback model corrects the target dissolved oxygen value according to the aeration tank dissolved oxygen concentration and the mixed liquid suspended solid concentration; and controlling the power of the aeration equipment according to the target dissolved oxygen value. Through common coordination of the feedforward model and the feedback model, accurate aeration of sewage treatment is realized.