8765results about "Water treatment parameter control" patented technology

The invention provides an intelligent regulation and control method for a three-stage constructed wetland recirculating aquaculture system, and belongs to the technical field of machine learning. The method comprises the following steps: firstly, continuously collecting water quality data and operation control data of each control unit, and constructing a multi-source heterogeneous data set under a unified time scale; then, constructing a pollution evolution trend prediction model, and capturing a dynamic evolution trend of water quality along with time and control behavior changes; then, under the guidance of a prediction result, analyzing the similarity of historical states and the sensitivity of regulation and control response, automatically identifying key control parameters which influence the water quality change of the system at present, and reasoning the dynamic adjustable boundary of the key control parameters; and finally, constructing a reinforcement learning strategy network fusing state prediction, a parameter boundary and a control target, realizing multi-target tradeoff among pollutant removal efficiency, a water quality standard-reaching rate and operation energy consumption, and outputting an efficient and steady control strategy through continuous interactive training. According to the invention, efficient, accurate and robust operation of the wetland system can be realized.

The invention relates to the technical field of sewage treatment, and particularly discloses a sewage and wastewater treatment control system and method based on an intelligent optimization algorithm. Water quality data are collected through a data acquisition module, and a water quality characteristic matrix is generated through preprocessing. And the prediction module analyzes the feature matrix by using the trained water quality dynamic prediction model to obtain a water quality prediction result. And processing the prediction result by using a multi-objective optimization algorithm to obtain an initial control parameter. And the parameter optimization module calculates a water load fluctuation ratio, a model confidence coefficient and an equipment state according to the sewage and wastewater treatment data, inputs the water load fluctuation ratio, the model confidence coefficient and the equipment state into the adaptive fuzzy network and generates a multi-target parameter optimization suggestion. And the dynamic optimization module adjusts the multi-objective optimization algorithm parameters according to the parameters, and processes the prediction result again to obtain optimization control parameters. And the control module regulates and controls sewage and wastewater treatment according to the optimized parameters. The system realizes closed-loop management from data acquisition, prediction and optimization to control, can dynamically adapt to water quality change, and operates stably and efficiently.

The invention provides an intelligent sewage treatment process optimization method and system. The method comprises the following steps: continuously collecting the flux attenuation rate, transmembrane pressure difference and pollutant spectrum data of a ceramic membrane, carrying out time sequence analysis, constructing a pollution accumulation dynamic model, and predicting a critical threshold value; when a threshold value is reached, triggering an ultrasonic cavitation device, adjusting high-frequency vibration to generate a microbubble group, stripping pollutants by utilizing shock waves, and calculating membrane flux recovery data; fusing the spectral data and the recovery data to extract an actual pollution stripping efficiency value, and comparing a theoretical value to obtain a difference proportion; if the actual value is lower than the theoretical value, the cleaning period is shortened, the fluid pressure is increased to strengthen the stripping effect, and meanwhile, dynamic model parameters are reversely corrected based on the pressure adjustment amplitude to form closed-loop regulation and control. According to the invention, intelligent prediction, self-adaptive cleaning and closed-loop optimization of ceramic membrane pollution are realized, the sewage filtering efficiency is improved, and the energy consumption and cleaning cost are reduced.

The invention discloses an intelligent regulation and control method and system for sewage treatment and a program product, and relates to the technical field of sewage treatment.The method comprises the steps that a multi-modal water quality sensing network is constructed, and sewage quality parameter information and overall treatment target numerical value information are obtained; according to the equipment operation state and the overall treatment target numerical value information, sewage treatment process parameters are generated, and treatment units in the sewage treatment system are distributed in a plurality of areas; triggering a process regulation and control instruction according to the sewage treatment process parameters and the overall treatment target numerical value information; obtaining partition processing effect detection information, and comparing the partition processing effect detection information with the corresponding index value to obtain a partition difference value; if the partition difference value exceeds a preset change threshold range, triggering a partition self-adaptive regulation and control updating instruction; obtaining partition adjustment parameter information according to the partition self-adaptive regulation and control updating instruction; and triggering an adjustment instruction. The invention provides an intelligent regulation and control method based on multi-dimensional perception and adaptive decision.

The present invention relates to the technical field of the control of wastewater treatment devices. Disclosed is an intelligent control method for wastewater treatment devices at a dry bulk cargo terminal, which is used for solving the problem of poor control of wastewater treatment devices at a terminal. The method comprises the following steps: installing a plurality of types of sensors at key locations of a dry bulk cargo terminal, and using edge computing nodes to perform real-time data collection and preprocessing; on the basis of historical features and temporal features, using a machine learning model to perform wastewater type classification, thereby realizing efficient dynamic adjustment of operating parameters of wastewater treatment devices; then, by means of weighted voting and confidence evaluation, integrating a plurality of classification results to ensure an optimal treatment effect; and analyzing actual wastewater treatment conditions to continuously optimize device control, thereby preventing faults, extending the service life of devices, and improving the wastewater treatment effect.

The disclosure relates to an intelligent dosing control method, device and system for softening and removing hardness. Based on calculation by the intelligent dosing control method or device for softening and removing hardness of the disclosure, a softening agent dosing scheme can be intelligently recommended, while allowing the dosage adjustment in real time, thereby realizing the real-time and precise dosing of agents throughout the process. The intelligent dosing control system for softening and removing hardness of the disclosure automatic monitors the inlet water quality, and the dosing device can be controlled to perform precise dosing of agents through the calculation by the intelligent dosing control method or device for softening and removing hardness. Based on the monitoring feedback of outlet water quality and then calculation by the intelligent dosing control method and / or device for softening and removing hardness, the agent dosage can be automatically readjusted.

The invention provides a sewage treatment carbon source intelligent adding method, which comprises the following steps: collecting multi-parameter feed-forward and feedback signals of water inlet and an anoxic tank, constructing a dynamic model containing feed-forward compensation, model prediction control and feedback compensation, calculating the theoretical adding amount of a carbon source, inputting a predicted value and feedback parameters into an LSTM network for correction, and optimizing a network structure by a genetic algorithm. The adding amount is controlled in a closed-loop mode through a variable frequency pump, the LSTM weight is updated on the basis that the error is larger than 5%, and finally a control strategy is optimized by using an NSGA-II algorithm and integrating carbon source consumption, effluent total nitrogen and energy consumption. The dynamic self-adaptive carbon source adding method is constructed by fusing feedforward perception, LSTM prediction, feedback regulation and multi-objective optimization, so that quick response and accurate control on water quality fluctuation are realized, the denitrification efficiency and the carbon source utilization rate are improved, and the method has excellent engineering adaptability and popularization value.

Disclosed is a disinfection lamp with an underwater light projection effect, comprising an upper lampshade, a lower lampshade, a lens lampshade and a tube for containing sustained release chlorine tablets, wherein a circuit board and a battery are arranged on the lens lampshade, a solar panel is mounted on the surface of the upper lampshade, a first light bead is arranged on the lower surface of the circuit board, a light diffuser is arranged at a position, corresponding to the first light bead, of a bottom of the lens lampshade, the first light bead is located in the light diffuser, and the lower lampshade is mounted at the bottom of the lens lampshade. The disinfection lamp can float on water, and the tube containing the sustained release chlorine tablets is immersed in water, such that a conventional water purification, sterilization and disinfection effect is realized.

The invention provides methods and compositions for treating wash water from concrete production with carbon dioxide. The treated wash water can be reused as mix water in fresh batches of concrete.

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 discloses a precise phosphorus removal control method for a high-efficiency sedimentation tank based on a magnetic medium, and relates to the technical field of sewage phosphorus removal. The method comprises the following four steps: carrying out real-time water inlet parameter acquisition on a magnetic powder feeding tank, a mixing tank, a flocculation tank and an efficient sedimentation tank, carrying out multivariable dynamic modeling to cooperatively calculate the agent feeding amount, and carrying out agent feeding and water outlet parameter feedback regulation. The method comprises the following steps: monitoring the flow of inlet water, the total phosphorus concentration and the suspended matter concentration in real time, establishing a quadratic polynomial model of the total phosphorus removal rate by combining the interaction formed by sequentially mixing magnetic powder, a flocculating agent and a coagulant aid with sewage to react, and dynamically calculating the theoretical dosage of the three agents; monitoring and feeding back the total phosphorus concentration and the suspended matter concentration of effluent at a water outlet end, and dynamically adjusting the dosage of the medicament according to the total phosphorus concentration and the suspended matter concentration; precise adding of a dephosphorization agent is achieved, the dephosphorization effect is improved, the operation cost is reduced, and the automation level is improved. The problems that in an existing sewage precipitation phosphorus removal process, the agent adding amount is difficult to accurately control, and the automation degree is low are solved.

The invention discloses an intelligent monitoring system for sewage treatment in the coal chemical industry, and relates to the technical field of sewage treatment.The intelligent monitoring system is characterized in that a water quality monitoring unit is used for collecting parameters such as COD, turbidity, pH and heavy metal ion concentration in real time, the change trend of water quality in a short time is predicted through a long-short term memory (LSTM) network, and then adding parameters of a flocculating agent are dynamically calculated; the defects of a fixed adding curve or artificial experience adjustment are overcome, so that the adding amount, the type and the speed of the flocculating agent can be adaptively adjusted to be matched with the change of sewage components; the addition optimization unit is combined with a CNN-LSTM model to analyze the rheological characteristics of the sludge, so that the addition of the flocculating agent adapts to the rheological change of the sludge, the flocculation effect is optimized, and the sludge settling performance is improved; meanwhile, the stirring control unit adjusts the stirring strength and time in real time based on ultrasonic online monitoring data, so that the flocculating agent is fully dispersed, the particle distribution state is optimized, the flocculation reaction is more uniform, and the subsequent precipitation separation efficiency is improved.

The invention discloses a dosing system for pre-oxidation enhanced coagulation in a water plant and an intelligent regulation and control method, and relates to the technical field of pre-oxidation enhanced coagulation water treatment. The system comprises a raw water pump, a mixing tank, a tubular static mixer, a flocculation tank, a sedimentation tank, an industrial personal computer and multiple online detection instruments which are sequentially connected in series, so as to monitor the flow, conductivity, pH value, temperature, turbidity, ultraviolet absorbance and organic matter concentration of raw water. Key water quality indexes are monitored in real time through data collection and a pre-oxidation enhanced coagulation regulation and control system based on machine learning of an industrial personal computer, and intelligent and accurate prediction of the dosage of oxidants (potassium permanganate, permanganate composite agents and potassium ferrate) and coagulants is achieved; the effluent turbidity, the effluent ultraviolet absorbance and the effluent organic matter concentration of the sedimentation tank are fed back in real time, the adding amount of the oxidizing agent and the coagulant is dynamically adjusted through a regulation and control algorithm, the effluent quality is guaranteed, and medicine consumption is reduced.

The invention belongs to the technical field of sewage treatment, and discloses a catalyst monitoring system based on sensing linkage and a control method.The system comprises a mixing pool, a settling pool and a backflow pool which are circularly arranged through pipelines, and further comprises a strong oxidant adding device, a powder catalyst adding device and a controller. According to the technical scheme, through combined use of the sensor, the flow meter and the valve, the problem of high loss rate of the powder type catalyst is solved, the service life of the catalytic reactor is prolonged, and the risk of environmental pollution is reduced. Meanwhile, the invention further discloses a powder type catalyst loss monitoring and controlling method based on the sensor and automatic control, in the method, hierarchical control is adopted on a controller control framework: a bottom-layer MPC is combined with a top-layer PINN prediction model to form a double-layer framework of network prediction and classical control, accurate monitoring and control are achieved, and the reliability of the controller is improved. Therefore, the purposes of reducing the loss rate of the catalyst, improving the stability of the catalytic reactor and prolonging the service life are achieved.

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 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 intelligent purification and circulation method and system for waste water of a motor home, and belongs to the technical field of waste water treatment and reuse. Generating a matrix containing key pollution characteristics based on the parameters; executing multi-stage membrane treatment according to the matrix decision to obtain graded water quality; based on a water quality matching reuse standard, a scheduling scheme is generated by combining requirements and environment adjustment priorities; the scheme and the water network state are combined to optimize water volume allocation, and efficient recycling of recycled water is controlled. According to the invention, dual-mode sensing fusion analysis, dynamic pollution characteristic identification, multi-stage membrane intelligent cooperative processing and a water network balance optimization scheduling strategy are adopted, efficient deep purification, safe grading recycling and intelligent management of motor home wastewater can be realized, and the utilization rate of water resources, the intelligent level of system operation and the user experience are remarkably improved.

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.

Disclosed is a disinfection lamp with an underwater light projection effect, comprising an upper lampshade, a lower lampshade, a lens lampshade and a tube for containing sustained release chlorine tablets, wherein a circuit board and a battery are arranged on the lens lampshade, a solar panel is mounted on the surface of the upper lampshade, a first light bead is arranged on the lower surface of the circuit board, a light diffuser is arranged at a position, corresponding to the first light bead, of a bottom of the lens lampshade, the first light bead is located in the light diffuser, and the lower lampshade is mounted at the bottom of the lens lampshade. The disinfection lamp can float on water, and the tube containing the sustained release chlorine tablets is immersed in water, such that a conventional water purification, sterilization and disinfection effect is realized.

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 relates to the technical field of sewage treatment, in particular to a sewage treatment control process based on dynamic regulation and control of aeration and carbon source addition, which comprises the following steps: acquiring microbial metabolism heat change data in real time; biochemical treatment: monitoring the dielectric constant of a water body and the Reynolds number of sewage flow in real time, and constructing a multi-parameter coupling regulation and control model and dynamically regulating and controlling the aeration rate in combination with microbial metabolism heat change data obtained in the pretreatment step; accurately adding the carbon source according to a calculation result of the carbon source demand prediction model; sewage subjected to biochemical treatment is subjected to ultrafiltration through a nanofiber membrane and then subjected to combined disinfection treatment through ultraviolet rays and ozone, treatment parameters are regulated and controlled in real time according to the membrane flux attenuation trend in the treatment process, and dynamic and accurate control over sewage treatment is achieved. According to the method, the problem of energy consumption waste caused by excessive aeration or low degradation efficiency caused by insufficient aeration in a traditional process is solved, and accurate matching of dissolved oxygen supply and microbial requirements is realized.

The invention discloses a large and medium shallow lake water quality improving method based on hydrodynamic optimization and vegetation community restoration, and relates to the technical field of lake treatment and ecological restoration. Comprising the following steps: step 1, reducing lake-entering pollution load; arranging an in-and-out river mouth sediment settling reservoir to increase a river mouth water-passing section; 2, high-concentration water entering the lake and low-concentration water in the lake body are isolated; remodeling a near-shore area terrain of a shore zone where the lake-entering river channel is located, and arranging an ecological submerged beach, a drainage groove and a mud flow capturing groove; 3, improving the habitat of the aquatic plants on the large water surface; designing matrix purse seine units for flow choking and wave dissipation; a plurality of matrix purse seine units are designed to spatially separate a large water surface, and floating plants are fixed in a local area by using the matrix purse seine units; 4, preparing an aquatic plant community; and recovering pioneer floating-leaf plants and submerged plants. According to the method, a hydrodynamic optimization project and a vegetation community reconstruction project are combined, the water quality is improved, and the ecological system structures of large and medium-sized shallow lakes are improved.

The invention relates to the technical field of river and lake landscape water system purification, and discloses a river and lake landscape water system composite purification system, which comprises a water quality parameter acquisition module, an ecological analysis module, a microbiological treatment module, a multi-stage collaborative purification module, a purification parameter generation module, an authority association module and a dynamic regulation and control module. The water quality parameter acquisition module acquires data in multiple dimensions to quantify the pollution level and trigger a purification instruction; the ecological analysis module evaluates the ecological self-purification capability, and the microbiological treatment module predicts the degradation efficiency; the multi-stage collaborative purification module generates a regulation and control signal in combination with the evaluation value; the purification parameter generation module generates repair and activation parameters accordingly; the permission association module monitors the emission permission of the pollution source; and the dynamic regulation and control module forms a closed-loop purification process. According to the system, through multi-module cooperation and closed-loop regulation and control, accurate recognition of river and lake landscape water system pollution, ecological self-purification capability activation and microbial degradation enhancement are achieved, and the purification efficiency and ecological restoration long-term effect are improved.

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 industrial wastewater treatment, in particular to an intelligent operation and maintenance system for industrial wastewater treatment, which comprises a wastewater data acquisition module, a wastewater data preprocessing module, a wastewater complex component identification and classification module and a wastewater treatment process scheduling and optimization module, the wastewater data acquisition module acquires water quality monitoring data in wastewater in real time; the wastewater data preprocessing module is used for preprocessing the collected water quality monitoring data; the wastewater complex component identification and classification module realizes optimized classification of wastewater complex components; and the wastewater treatment process scheduling and optimizing module selects a wastewater treatment process, automatically adjusts parameters of the wastewater treatment process and optimizes an operation strategy of wastewater treatment. According to the invention, different pollutant components in the wastewater and dynamic change trends thereof are accurately identified, and the efficiency and precision of wastewater component analysis are significantly improved.

The invention belongs to the field of oil and gas field high-salinity wastewater treatment, and particularly relates to a shale gas high-salinity wastewater electrochemical catalysis coupling membrane separation low-carbon treatment method which comprises the treatment steps of pretreatment, electrocatalytic oxidation, membrane separation, salt recycling and product recovery, intelligent management and control, energy coupling and the like. The dissolved air flotation unit generates micro-nano bubbles through a venturi-rotational flow coupling device and cooperates with PAC / PAM to realize efficient flotation; softening agents are added into the multi-stage sedimentation tank by stages, closed-loop control is carried out, and soluble barium, boron, fluoride and hardness are removed; the electrochemical oxidation unit strengthens mass transfer through ultrasonic waves and degrades organic matters difficult to treat; the membrane treatment realizes up-to-standard discharge of wastewater through a hollow fiber membrane bioreactor-roll type ultrafiltration membrane-anti-pollution type reverse osmosis membrane integrated system; the magnetic control evaporation crystallizer utilizes the magnetic field gradient and the temperature gradient to cooperatively regulate and control the crystallization process, the membrane separation strong brine is subjected to quality separation treatment, and high-purity salt products are produced. The method provided by the invention can effectively realize up-to-standard discharge treatment of shale gas fracturing flowback wastewater and resource utilization of evaporative crystallization salt, is also suitable for treating shale gas recovery wastewater with similar water quality characteristics, and has good popularization and application prospects.

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 provides a sewage treatment carbon source adding control method, and relates to the technical field of sewage treatment, and the method comprises the following steps: obtaining water inlet parameters of a water inlet end of sewage to be treated and process parameters of a treatment section, the water inlet parameters comprising chemical oxygen demand, total nitrogen, total phosphorus and flow; the process parameters comprise the phosphate concentration at the tail end of an anaerobic tank, the nitrate concentration at the tail end of an anoxic tank, and the total nitrogen and chemical oxygen demand of inlet water of a denitrification filter tank; dynamically calculating a predicted carbon-nitrogen ratio and a predicted carbon-phosphorus ratio in real time according to water inlet parameters and the process parameters; based on the predicted carbon-nitrogen ratio, the predicted carbon-phosphorus ratio and a preset effluent quality standard, a carbon source adding point and a first carbon source adding amount are determined, and the carbon source adding point comprises at least one of an anaerobic tank, an anoxic tank and a denitrification filter tank; according to the carbon source feeding point and the first carbon source feeding amount, the carbon source feeding device is controlled to execute corresponding feeding operation, through segmented feeding and closed-loop control, COD standard exceeding caused by excessive carbon sources is avoided, and secondary pollution is effectively inhibited.

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 swimming pool cleaning equipment control, and provides a cleaning mode switching method and device for a multifunctional swimming pool cleaning robot. According to the method, water quality data corresponding to a swimming pool, stain distribution images of pool walls and pool bottoms, swimming pool structure size data and stain type data are collected in real time; dividing a cleaning area according to the swimming pool structure size data, generating a stain area marking result in the cleaning area in combination with the stain distribution image and the stain type data, and judging the pollution level of the whole swimming pool according to the water quality data so as to retrieve a corresponding cleaning mode from a preset cleaning mode library, the preset cleaning mode library comprises a global coverage mode, a key enhancement mode, a corner fitting mode and a water quality maintenance mode; and according to the called cleaning mode, a corresponding cleaning path plan and execution instruction is generated, and the driving module, the scrubbing module and the purification module are controlled to work cooperatively. According to the method, accurate analysis of the swimming pool environment is achieved, and blind cleaning of a traditional fixed mode is avoided.