4059results about "Water aeration" patented technology

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 invention provides a sewage treatment system and method based on a large language model and multi-agent collaboration, and the system comprises a sensor network which is used for collecting the water quality parameters of sewage in real time; the monitoring agent is used for performing data verification on the water quality parameters; the at least one edge computing node is used for performing data preprocessing on the water quality parameters; the cloud decision intelligent agent is used for generating a sewage treatment strategy according to the preprocessed water quality parameters based on a large language model; the execution agent is used for executing the sewage treatment strategy and treating the sewage; the evaluation agent is used for analyzing and evaluating the sewage treatment effect and feeding back the sewage treatment effect to the cloud decision agent so as to optimize the sewage treatment strategy; by constructing an intelligent and dynamic treatment system, real-time monitoring, intelligent analysis and self-adaptive treatment of the mariculture sewage are realized, so that the sewage treatment stability and environmental protection benefits are improved, and the sustainable development of the mariculture industry is promoted.

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 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 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 relates to the technical field of sewage treatment, in particular to a dissolved oxygen control method and system applied to an aeration system, and the method comprises the following steps: based on a preset data acquisition frequency, obtaining water quality parameter information of inlet water and the inside of an aeration tank, and arranging at least two groups of water quality parameter information according to a time sequence to obtain a time sequence water quality characteristic set; performing dynamic aerobic evaluation on the time sequence water quality characteristic set to obtain a dynamic dissolved oxygen range; dividing a plurality of time windows according to the initial sewage treatment regulation and control instruction, and determining a target dissolved oxygen range and an aeration energy consumption constraint in each time window; calculating a dissolved oxygen real-time gap between the dynamic dissolved oxygen range and a target dissolved oxygen range in the corresponding time window; carrying out constraint coupling analysis on the dissolved oxygen real-time notch and the aeration energy consumption to obtain real-time aeration control parameters, and adjusting an aeration system according to the real-time aeration control parameters; the problem of underexposure or overexposure caused by lagging adjustment can be avoided, and meanwhile energy waste caused by frequent overshoot is reduced.

The invention discloses a self-adaptive intelligent device system for water ecological restoration and water quality improvement, and particularly relates to the field of water ecological restoration, the self-adaptive intelligent device system comprises a monitoring module, a control module, a restoration module, an energy supply module and a remote communication module, and the modules are connected through signals; the monitoring module is used for monitoring the temperature, the pH value, the dissolved oxygen, the turbidity and the nutritive salt content of the water body in real time as well as the water level change, the water flow speed and the meteorological conditions; the control module analyzes and processes the monitoring data, automatically generates a control instruction according to a preset target and rule, and adjusts the operation parameters and the working state of the repair module; the restoration module is used for restoring the water body; the energy supply module is used for providing stable and reliable energy supply for the whole device system. The change trend of the water quality parameters can be predicted in advance, so that the system can take measures in advance, manual intervention is reduced, and the automation degree and the operation efficiency of the system are improved.

The invention relates to the technical field of sewage treatment, in particular to a coupling control system and method for deep denitrification of sewage, and the system comprises a real-time water quality monitoring module, a microorganism twinborn modeling module, a real-time prediction module, an intelligent decision module, an execution mechanism module and a prediction regulation and control module. Compared with the prior art that a passive feedback control strategy based on an effluent quality index is generally adopted, the hysteresis quality is high, and violent fluctuation of an inflow load cannot be coped with; according to the method, a digital twinborn body capable of reflecting the functional state of a microbial community in real time is constructed, and a control target is improved from a traditional process parameter set point to direct optimization of microbial ecological functions; according to the invention, the method achieves the fundamental crossing from the control of technological parameters to the regulation and control of microbial ecology, can carry out intervention from the root of the reaction process, enables the system to have the active health management capability, and remarkably improves the stability of the treatment efficiency and the intelligent level of coping with complex working conditions.

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 provides an intelligent aeration system and a control method, and the system comprises a multi-parameter monitoring module which collects parameters such as water depth, pressure, temperature, dissolved oxygen, inlet water ammonia nitrogen, chemical oxygen demand, and mixed liquid suspended solid concentration in real time; the data analysis and preprocessing module adopts a sliding window algorithm to carry out data cleaning and anomaly detection; the oxygen supply demand prediction module establishes an oxygen demand prediction model based on machine learning, and combines theoretical calculation and deep learning prediction; the multi-target intelligent control module adopts a reinforcement learning algorithm, establishes a Markov decision process model, and optimizes the processing effect and energy consumption at the same time; the execution control module is used for accurately adjusting the rotating speed of a fan, the opening degree of a valve and the running state of an aerator; and the system collaborative optimization module realizes linkage control of the aeration system and the carbon source adding system. The system has the functions of self-adaptive parameter adjustment, fault diagnosis and self-recovery, the DO control precision reaches 95% or above, the daily average electricity is saved by 9.7%, the NH4-N of effluent is reduced by 25%, and the annual comprehensive benefit exceeds 500,000 yuan.

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.

The invention relates to the technical field of rural sewage treatment, and discloses a rural sewage intelligent monitoring and aeration regulation and control system based on Internet of Things. The system comprises a pollution parameter sensing layer, a pollution index analysis layer, an aeration path generation layer, a process parameter matching layer, a dynamic monitoring focusing layer, a cross-modal mapping layer, an equipment scheduling decision-making layer and an aeration parameter generation layer. Wherein the pollution parameter sensing layer collects operation parameters in real time by means of a multi-source sensing terminal; the pollution index analysis layer divides pollution parameter intervals and calculates a distribution coefficient; the aeration path generation layer generates an aeration intensity grading path in sequence; the process parameter matching layer outputs a process deviation parameter set; dynamically monitoring a focusing layer to adjust the density of monitoring points; the cross-modal mapping layer establishes space-time correlation mapping of water quality parameters and aeration intensity; the equipment scheduling decision-making layer sorts the calling sequence of the aeration equipment; and the aeration parameter generation layer converts the parameters into executable regulation and control parameters. The system realizes intelligent monitoring of rural sewage and accurate aeration regulation and control.

The invention provides a treatment method of ammonia-nitrogen-containing wastewater, and belongs to the technical field of wastewater treatment. The preparation process comprises the following steps: preparing the wastewater treatment agent; preparing an immobilized microbial compound; and treating the ammonia-nitrogen-containing wastewater. According to the immobilized microbial carrier prepared by the invention, a stable dual-network structure and proper pore channels are formed through the synergistic effect of the polyvinyl alcohol, the carboxymethyl chitosan and the polyurethane; secondary cross-linking significantly enhances the stability of the carrier, optimizes internal pore channels, and is beneficial to attachment and proliferation of microorganisms; after the corn straw biochar is modified by Ca / Al, the specific surface area and functional groups are increased, and the physicochemical adsorption of ammonia nitrogen is enhanced. The three are combined, and ammonia nitrogen in wastewater is efficiently removed through synergism of carrier adsorption and microbial metabolism.

The invention provides a bioreactor aeration self-adaptive control method and system based on machine learning, and the method comprises the steps: collecting the water inlet flow, ammonia nitrogen concentration, dissolved oxygen concentration, water temperature and chemical oxygen demand data of a bioreactor in real time through a sensor, and carrying out the water balance verification and the Kalman filtering pretreatment containing a water temperature compensation item; generating an aeration instruction by adopting multi-model collaboration; outputting a reference aeration rate by a deep reinforcement learning DRL model; the self-adaptive PID controller dynamically adjusts the proportionality coefficient according to the dissolved oxygen deviation and calculates the correction amount; and the LSTM network generates a fusion weight, and combines the seasonal compensation factor and the safety coefficient to synthesize the final aeration rate. The system passes mutation rate constraint and nitrification efficiency verification, an ASM1 model is triggered to recheck when the deviation exceeds the standard, and after passing, an air blower with the precision of + / -2% executes an instruction and performs closed-loop feedback in a period smaller than or equal to 10 seconds. After the method is implemented, the aeration energy consumption is reduced to 0.38 kWh / m, the effluent ammonia nitrogen standard reaching rate is improved to 98.5%, the dissolved oxygen fluctuation range is reduced to + / -0.3 mg / L, and the impact load response time is shortened to be within 15 minutes.

The invention relates to the technical field of environmental engineering water treatment automatic control, and discloses a landfill leachate treatment control method based on cooperative control. The method comprises the following steps: acquiring real-time monitored water quality parameter data streams including a pretreatment stage pH value, a main treatment stage COD concentration, a deep treatment stage membrane pressure difference and the like in a landfill leachate treatment system, inputting the data streams into a cooperative control framework, and dynamically correcting PID controller parameters through a nonlinear gain function to generate a primary adjustment instruction; evaluating and generating a strategy optimization instruction based on the reinforcement learning strategy network; inputting the two into a grey prediction model and outputting a cooperative control signal containing a feedforward compensation amount; and finally, dynamically adjusting the coagulant dosage, the aeration intensity and the working pressure of the membrane component according to the signal to form a closed-loop control loop. The method can master the water quality change in real time, accurately regulate and control the treatment process, improve the stability and reliability of the treatment system, and effectively improve the landfill leachate treatment effect.

The invention discloses a digital twinning and AI analysis sewage treatment control system, and relates to the technical field of sewage equipment control, and the system comprises the steps: deploying a sensor to obtain a sewage treatment acoustic signal to form an acoustic energy matrix, and synchronously obtaining the operation data of a treatment plant to construct an operation data matrix; fusing the acoustic energy matrix and the operation data matrix to form a high-dimensional data matrix; mapping the high-dimensional data matrix into a low-dimensional point cloud, constructing a point cloud adjacent matrix, recognizing topological features according to the adjacent matrix, analyzing abnormal topological features by combining persistent coherence with topological entropy, and calculating an abnormal confidence coefficient; and establishing a hierarchical agent based on the abnormal confidence coefficient, defining a reward function through life cycle evaluation, adjusting a hierarchical agent optimization strategy by adopting DDPG reinforcement learning, predicting the performance of the optimization strategy in combination with a multi-step prediction loss function, and outputting the optimization strategy. According to the invention, the control strategy of the sewage treatment equipment is continuously optimized, and the strategy implementation efficiency is improved.

The invention discloses iron-carbon suspended filler and an ozone-iron-carbon fluidized bed treatment device and method. The iron-carbon suspended filler is prepared from iron, carbon, a catalyst and a pore-forming agent, and the density is 0.9-1.2 g / cm < 3 >. The treatment device comprises a reaction tower, iron-carbon suspended filler, an aeration device and a water inlet / outlet, the reaction tower is filled with iron-carbon suspended filler; the water inlet is positioned at the bottom of the reaction tower; the aeration device is arranged at the bottom of the reaction tower; and the water outlet is positioned on the upper side of the reaction tower. The treatment method comprises the steps of equipment inspection and filler filling; feeding water, and controlling the water feeding flow rate to be 5-40m / h; introducing air, and controlling the introduction amount of ozone to be 5-60mg / L; regularly sampling and analyzing, judging whether the reaction achieves an expected effect or not, and ensuring a continuous water inlet reaction state; and discharging water. The ozone-iron carbon fluidized bed treatment device and the treatment method for degradation-resistant organic wastewater have the advantages of high mass transfer efficiency, high degradation efficiency and flexible operation, and can adapt to different water quality and treatment requirements.

The invention provides a sewage treatment aeration control method and system based on a deviation compensation hybrid model, and relates to the technical field of intelligent optimization control of a sewage treatment process, a mechanism model driving layer in the hybrid model outputs a benchmark predicted value of effluent quality, and a process deviation compensation layer performs uncertain quantitative estimation on the benchmark predicted value, so that an aeration control result is obtained. Performing process deviation compensation on the reference predicted value; establishing an aeration optimization objective function by taking the minimum aeration rate as an optimization objective, solving to obtain the optimal aeration rate, outputting a control signal to an air blower according to the optimal aeration rate so as to adjust the rotating speed of the air blower or the opening degree of a valve, change the air supply rate to a reaction tank, and simultaneously, collecting inlet water quality data and operation parameters of an aeration system in real time; and updating the optimal aeration rate, and updating the control signal to form a feedback closed loop. Highly intelligent, stable, reliable, energy-saving and efficient aeration control can be realized, and the sewage treatment plant is ensured to stably realize that the effluent quality reaches the standard and the energy consumption is reduced to the greatest extent under complex working conditions.

The invention belongs to the technical field of sewage treatment, and provides a landfill leachate treatment method and system.The landfill leachate treatment method comprises the steps that water quality data of sewage is obtained in real time and analyzed to obtain an analysis treatment signal, a change duration value is obtained through analysis based on the water quality data of the sewage, and whether sewage treatment needs to be regulated or controlled is judged; the method comprises the following steps: acquiring aeration data of an aeration system, analyzing in combination with water quality data to obtain an influence value, judging whether the change of the aeration system can cause the change of the content of dissolved oxygen, acquiring an aeration regulation and control coefficient, and regulating and controlling sewage treatment based on the aeration regulation and control coefficient. On the other hand, the sewage treatment abnormity can be monitored in time, the sewage treatment quality can be improved, and on the other hand, the influence reasons of the sewage treatment abnormity can be found accurately in time, and regulation and control can be carried out in time.

The utility model provides a tubular aerator and relates to the field of tubular aerators, two flange plates are respectively and fixedly connected to the left and right side surfaces of a guide pipe, the guide pipe and the flange plates jointly form a connecting structure, two motors are arranged at the front end of the peripheral surface of the guide pipe, and the two motors are connected with the guide pipe. The problems that an existing aeration pipe is lack of an effective water body stirring structure, when the aeration pipe is located in a water pool for aeration, aeration at a fixed position is easily caused, the aeration effect is poor, the interior of the water pool is not convenient to be oxygenated, and limitation exists are solved. Through the arrangement of the sleeve capable of moving up and down along the connecting pipe and the aeration pipe, the height of the aeration pipe can be quickly adjusted by utilizing the sleeve to move up and down along the guide groove formed in the connecting pipe, so that when the aeration device is used, an aerated water body can be stirred, and the aeration effect is improved. Oxygen in the aeration pipe can be fused with the water body more quickly.

The application discloses an aeration tank for sewage treatment and relates to the technical field of sewage treatment.The aeration tank comprises a tank body, a horizontal reciprocating moving mechanism and an aeration mechanism.The tank body is connected with a guide rail through a depth adjusting mechanism at the top.The guide rail is connected with a sliding seat through sliding connection.The bottom outer wall of the sliding seat is fixedly connected with a box.The aeration mechanism comprises a rotary driving assembly, a pipeline switching assembly, a water and air dual-purpose pump, a rotary pipe, an aeration head, an agitating impeller and a cleaning and anti-blocking assembly.The cleaning and anti-blocking assembly can automatically clean the inner wall of the aeration head in a continuous rotating state, thereby effectively avoiding the serious blocking of the air holes of the aeration head.The horizontal reciprocating moving mechanism can expand the aeration range of the aeration head and can uniformly distribute the aeration air into the sewage, thereby effectively improving the oxygenation effect of the sewage.

The invention discloses a micropore bubbling aeration two-stage oscillation modulation synergistic system and an application method thereof. The modulation synergistic system comprises a two-stage oscillation device, an air supply unit connected to the upstream of the two-stage oscillation device, and a micropore coil pipe and an aeration tank which are connected to the downstream of the two-stage oscillation device. The two-stage oscillation device comprises a non-feedback oscillation cavity connected with the branch section, a sound wave oscillation cavity sequentially connected with the air inlet section, and a cavity connecting section connected with the non-feedback oscillation cavity and the sound wave oscillation cavity in parallel. Controlled pulsating oscillation airflow is injected into the microporous aeration system through the two-stage oscillation device, and periodic inertia force disturbance is introduced in the bubble generation stage; the pulsating pressure field breaks through gas-liquid interface force balance under traditional steady-state airflow, so that the bubble separation critical size is remarkably reduced, hole opening air film oscillation is accelerated through high-frequency pressure oscillation, necking fracture is promoted, and the bubble separation size is reduced; and meanwhile, transient shear force generated by the pulsating airflow inhibits interaction of adjacent bubble wake flows, and the coalescence probability is reduced.

The invention discloses an aeration type water treatment device for catalytic degradation of pollutants based on triboelectrification, and belongs to the field of sewage and wastewater treatment. The lower portion is of a hollow cone structure, and the upper portion is of a cylinder structure. Positive and negative friction particles with spherical structures are placed in the device, the built-in rotatable aeration device can rotate and uniformly distribute gas under the action of gas flow, a gas-liquid-solid three-phase vortex flow is formed in combination with the rotation action of the stirring paddle, the friction particles generate high-frequency collision to generate an electrification effect, and the gas-liquid-solid three-phase vortex flow is formed. Hydroxyl free radicals (. OH) and superoxide free radicals (. O2-) are generated, and organic pollutants are efficiently degraded. The externally added magnetic field can inhibit electron-hole recombination. The device can realize innocent treatment of toxic and harmful wastewater, and has better practical and economic values.

The invention discloses sewage treatment equipment and process for tinning of an LED pin frame, and relates to the technical field of sewage treatment. In the dosing flocculation process, flocculated sewage is generally and directly guided into filtering equipment, a solid-liquid mixture is not pre-separated, the workload of the filtering equipment is heavy, and the sewage treatment efficiency is influenced, and through cooperation of a conical cover and a through groove disc, in the process of stirring the sewage by utilizing a stirring mechanism and mixing a medicament with the sewage, the sewage is stirred by utilizing the stirring mechanism, so that the sewage treatment efficiency is greatly improved. By means of rotation of the sewage under stirring, floccules in the sewage are concentrated on the outer side and cannot penetrate through the through grooves of the through groove disc, primary solid-liquid separation is conducted on the sewage while flocculation is conducted, the amount of sewage entering the filtering equipment is reduced, the content of the floccules in the sewage guided out by the water outlet pipe is increased, and the situation that the floccules cannot penetrate through the through grooves of the through groove disc after dosing flocculation is avoided. A large amount of sewage and floccules enter filtering equipment at the same time, so that the workload of the filtering equipment is large, and the sewage treatment efficiency is influenced.

The invention relates to the technical field of aeration devices, in particular to a high-stability batten type aerator which comprises a fixing plate, an aerator body is arranged on one side of the fixing plate, and a first splicing plate and a splicing groove are arranged on the two sides of the fixing plate respectively; the fixing assembly comprises a clamping block mounted on the first splicing plate and a clamping groove formed in the splicing groove; the damping assembly is used for relieving the vibration of the aerator body in use, and the damping assembly comprises a sliding block arranged between the aerator body and the fixing plate; the aerator has the beneficial effects that through the cooperation of first splicing plates and splicing grooves, the connection of two adjacent groups of fixing plates is realized, the connection of two adjacent groups of aerator bodies is further realized, when the first splicing plates and the splicing grooves are spliced, clamping blocks are clamped in clamping grooves, and meanwhile, under the cooperation of extrusion blocks, first insertion blocks which are elastically arranged are inserted into the fixing grooves, so that the connection of the two adjacent groups of aerator bodies is realized. Limiting and fixing are completed, and it is guaranteed that the aerator is evenly stressed.

The invention relates to the technical field of wastewater treatment, in particular to a multistage treatment device for industrial heavy metal wastewater, which comprises an integrated wastewater treatment tank, the integrated wastewater treatment tank is formed by combining a sedimentation tank, a reaction tank and a residue filtering tank, a dosing tank is fixedly mounted at the upper end of the reaction tank, and a dosing mechanism is arranged on the inner side of the dosing tank. The chemical feeding mechanism is combined with the mixing mechanism, so that the dynamic mixing of mixed liquid in the reaction cavity is ensured while intermittent chemical feeding during industrial wastewater reaction is realized, and the heavy metal precipitation reaction efficiency is improved; the aeration assembly is combined with the spherical frame, so that uniform aeration is realized, and meanwhile, the supporting strength of the whole structure of the spherical frame is ensured; by arranging the hoop reinforcing assembly, the spherical frame is hooped, so that the overall structure is reinforced, the hoop reinforcing assembly is combined with the uniform aeration assembly, the bidirectional locking effect of the spherical frame and the uniform aeration assembly is achieved, the waste water mixing and stirring effect is achieved, and multiple purposes are achieved.

A dual-channel switching system for a wastewater treatment plant, and an operation method. The double-channel switching system comprises a water intake box culvert in communication with both a dry-season treatment system and a rainy-season treatment system, wherein the dry-season treatment system comprises a coarse-fine combined screen connected to a grit chamber, a membrane screen device, an AAO combined tank, an MER reaction tank and a first ultraviolet disinfection channel in sequence; the rainy-season treatment system comprises a self-cleaning screen connected to a flow control valve, a combined storage tank, a magnetic precipitation system, a fiber rotary disc filter and a second ultraviolet disinfection channel in sequence; the water intake box culvert is provided with a liquid level sensor, a sludge concentration sensor, and a flow rate sensor; a switching valve is provided at the front end of the self-cleaning screen; and the liquid level sensor, the sludge concentration sensor and the flow rate sensor are connected to a control unit In the present invention, a wastewater treatment path can be automatically adjusted on the basis of changes in seasons and water volumes, thereby effectively meeting wastewater treatment requirements in a dry season and a rainy season.