20547results about "Water contaminants" patented technology

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 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 sewage denitrification dosing method and system based on machine learning and a storage medium, and belongs to the technical field of sewage treatment.The method includes the steps that data are collected and preprocessed, and variable data influencing biochemical pool carbon source dosing behaviors are obtained; and lagging influence of carbon source input on the denitrification amount index is analyzed, and the duration time range of the drug effect is determined. And adopting the trained prediction model, and based on the denitrification amount index and the prediction variable of the future t + X period, obtaining the dosage of the (t + 1) th period. Through a correlation analysis method, the correlation rule of nitrogen conversion in the future X period after the carbon source is added is analyzed, the duration time of the drug effect is determined, the lag effect is accurately quantified, and the problem of mismatching of regulation and control opportunities is avoided. The hysteresis effect is captured and subjected to multi-factor coupling analysis based on the prediction model, the carbon source adding amount and time are optimized, system load fluctuation caused by excessive carbon sources or incomplete nitrogen removal caused by insufficient carbon sources are avoided, and the stability of an original sewage ecological system is gradually improved.

The invention provides a multiphase collaborative purification intelligent treatment system for heavy metal wastewater, which relates to the technical field of wastewater treatment and comprises a pretreatment module, a main treatment module, an advanced treatment module, a post-treatment and recycling module, a sludge treatment module and an intelligent control module. The intelligent control module comprises a data acquisition layer, a control layer and a management layer, and intelligent control on each treatment module is realized by monitoring parameters such as pH value, ORP (oxidation-reduction potential), conductivity and heavy metal ion concentration of the wastewater on line. The data acquisition layer acquires processing parameters in real time through various sensors; the control layer executes control logic based on the PLC / DCS and monitors the operation state through SCADA (Supervisory Control And Data Acquisition); the management layer adopts AI algorithms such as a water quality-energy consumption correlation regression model and a time sequence water quality fluctuation learning model to optimize processing parameters. According to the system, the treatment process can be intelligently adjusted according to the characteristics of the wastewater, the maximization of the heavy metal wastewater treatment efficiency, the minimization of chemical consumption and the minimization of energy consumption are realized, and the treatment effect and the system stability 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 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 belongs to the technical field of water treatment, and particularly provides a fungus filament bamboo-based biomass composite material and a lead-containing sewage treatment method. According to the invention, the lead-containing sewage is pretreated by using microorganism neurospora crassa, and then the lead-containing sewage is post-treated by using the fungus filament bamboo-based biomass composite material prepared under specific conditions, so that the mildness of microorganism treatment and the efficient adsorbability of the biomass composite material are effectively combined; and finally, the removal rate of heavy metal lead is increased, the cost is low, and environmental friendliness is achieved.

The invention discloses a high-entropy oxide for synergic nitrogen removal and catalysis as well as a preparation method and application thereof, and belongs to the technical field of material preparation, the high-entropy oxide is a single solid solution phase formed by five or more metal elements of Fe, Co, Ni, Cu, Mn, Ti and Ce and an oxygen element, the configuration entropy of the high-entropy oxide is greater than or equal to 1.5 R, R is a gas constant, and R is an oxygen constant. The mole fraction of each metal element is 0.1-0.3, and the sum of the mole fractions of the metal elements is 1. According to the high-entropy oxide with the synergistic nitrogen removal and catalysis effects and the preparation method and application thereof, a synergistic catalysis system is constructed through the high-entropy oxide and silicon carbide, and the high-entropy oxide has the multiple advantages of being high in nitrogen removal efficiency, high in stability, simple in process, environmentally friendly and wide in application range; the removal rate of total nitrogen and key nitrogen pollutants can reach 90% or above in the seawater high-salt environment, and the environment-friendly emission requirement is met.

The invention belongs to the technical field of organic pollution treatment, and relates to a biochar-LDH-nZVI-GO composite material for organic pollution remediation and a preparation method and application thereof.The preparation method comprises the steps that graphene oxide is ultrasonically dispersed in deionized water, magnesium salt and aluminum salt are added to form uniform suspension liquid, then the uniform suspension liquid is mixed with biochar suspension liquid, and the biochar-nZVI-GO composite material is obtained; carrying out pH (Potential of Hydrogen) regulation and a hydrothermal crystallization reaction, so as to prepare a biochar-Mg / Al-LDH-GO compound; and dispersing the compound in an organic solvent, sequentially adding FeSO4. 7H2O and a NaBH4 solution in an inert atmosphere to carry out a reduction reaction, and finally washing and drying to obtain the biochar-LDH-nZVI-GO composite material. The material shows high-efficiency removal capacity on various organic pollutants such as trichloroethylene, chlorobenzene and polychlorinated biphenyl, is suitable for high-efficiency green remediation of organic pollutants in soil and water, and has good popularization and application prospects.

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 discloses an integrated process for cooperative treatment and up-to-standard discharge of industrial wastewater and domestic wastewater of a power plant, and relates to the field of cooperative treatment of wastewater and sewage, and the integrated process comprises the following steps: configuring a raw water collection system, setting a raw water source, configuring a multi-stage filtration and heating pretreatment process, configuring an ultrafiltration membrane system, and setting a fine filtration path. A first-stage reverse osmosis system is configured, reverse osmosis parameters are set, a second-stage reverse osmosis system is configured, a low-conductivity water treatment path is set, a mixed ion exchanger is configured, a desalted water output path is set, a standby pool body is set, and the adjusting capacity is set. A raw water collecting system, a multi-stage filtering and heating pretreatment process, an ultrafiltration membrane system, a first-stage reverse osmosis system, a second-stage reverse osmosis system, a mixed ion exchanger and a standby pool body are sequentially arranged in the process. The problems of unstable effluent quality, insufficient deep desalination capability and poor emergency regulation capability in a traditional power plant wastewater treatment mode can be effectively solved.

The utility model provides hydrogen-rich water production equipment which comprises a purification module, a water storage module, a water supply module and a water supply module, wherein a water inlet of the purification module is used for communicating with a water supply device; a water inlet of the hydrogen-rich module is communicated with a water outlet of the purification module; a water inlet of the hydrogen mixing module is communicated with a water outlet of the purification module, and a gas inlet of the hydrogen mixing module is communicated with a hydrogen outlet of the hydrogen-rich module; the control device is communicated with the purification module, the hydrogen enrichment module and the hydrogen mixing module; the water boiling device is used for being communicated with the water outlet of the hydrogen mixing module under the control of the control device, and the water boiling device is used for heating the hydrogen-rich water output by the hydrogen mixing module; the hydrogen and oxygen absorption device is provided with a hydrogen absorption port and an oxygen absorption port, the hydrogen absorption port is used for being communicated with the hydrogen outlet of the hydrogen enrichment module under the control of the control device, and the oxygen absorption port is used for being communicated with the oxygen outlet of the hydrogen enrichment module under the control of the control device. The hydrogen-rich water supply function, the hot water supply function, the hydrogen absorption function and the oxygen absorption function are integrated.

The invention discloses a scrap iron removing device for waste cutting fluid separation, and relates to the technical field of machine tool machining, the scrap iron removing device comprises a settling tank, an L-shaped flow slowing plate is arranged on the inner side of the settling tank, a liquid flowing channel exists between one side of the L-shaped flow slowing plate and the inner side wall of the settling tank, and inclined plates are fixedly arranged on the lower side of the L-shaped flow slowing plate at equal intervals; the inclined plates incline downwards towards the sides away from the liquid flowing channel, overflow notches are formed in the sides, away from the liquid flowing channel, of the settling tanks, the overflow notches are formed in the upper sides of the inclined plates, and defoaming mechanisms are arranged on the lower sides of the L-shaped flow slowing plates; in a narrow space between the inclined plates, the defoaming net shakes repeatedly, the surface tension of foam and an oil film is quickly destroyed through segmentation and friction effects, and metal scraps released by foam breakage quickly sink under the action of the inclined plates, so that the purposes of quickly eliminating the foam and precipitating the metal scraps are achieved, the settling time is greatly shortened, and the service life of the defoaming net is prolonged. And the foam is prevented from entraining a large amount of metal chippings to enter a follow-up circulating pipeline to increase follow-up pressure.

The invention discloses a nickel-containing etching wastewater treatment process, which belongs to the technical field of environmental protection, and comprises a raw water regulating tank, a pH pre-regulating tank, a heterogeneous catalytic oxidation tower, a neutralization coagulation tank, an inclined tube sedimentation tank and a clean water tank which are connected in sequence. According to the process, under the neutral condition, a catalyst loaded with cobalt manganese oxide is used for activating sodium hydrogen persulfate, high-activity sulfate free radicals are generated, a Ni-EDTA complex structure is fractured in a targeted mode, free nickel ions are released in situ, organic ligands are synchronously mineralized, and the adding amount of sodium hydrogen persulfate is dynamically adjusted through a clean water pool closed-loop control system; and high-purity nickel hydroxide precipitate is generated through alkaline precipitation and coagulation, so that efficient solid-liquid separation is realized. The treatment process disclosed by the invention is compact in flow and stable in operation, effectively solves the problems of difficult complex breaking, low nickel removal efficiency, high sludge toxicity, difficult resource recovery and the like when the EDTA complex nickel wastewater is treated by a traditional method, realizes closed-loop recovery of nickel resources, and has the remarkable advantages of low cost, high efficiency and environmental friendliness.

The invention provides an autonomous adjustment method and system for a thermal power plant desulfurization wastewater dosing device, and the method comprises the steps: collecting multiple parameters such as flow, pH value, heavy metal ion and suspended matter concentration in real time through on-line monitoring instruments arranged at a water inlet end, a reaction unit and a water outlet end; constructing and continuously updating a dynamic mathematical model based on historical data and a reaction mechanism; a control system integrating intelligent algorithms such as a neural network and fuzzy control is utilized, and optimal dosing parameters are calculated in combination with the model and real-time data; a dosing pump or a valve is driven to execute precise dosing; and finally, closed-loop optimization is formed through effluent quality feedback. According to the invention, automatic, accurate and self-adaptive adjustment of the dosing device is realized, the defects that a traditional mode depends on manpower and response lags behind are overcome, stable and standard discharge of desulfurization wastewater is effectively guaranteed, meanwhile, medicament consumption and operation cost are remarkably reduced, and the automation level and the capability of coping with working condition fluctuation of the system are improved.

The invention relates to a Fenton-like functional filler which is prepared from 10-20% of iron particles coated with a carbonized film, 10-20% of aluminum sulfate modified straw, 20-30% of PBAT-coated calcium peroxide, 20-30% of diatomite and 10-30% of an adhesive. A processing method of a Fenton-like functional filler comprises the following steps: uniformly mixing iron particles coated with a carbonized film, aluminum sulfate modified straws, PBAT-coated calcium peroxide and diatomite, then adding an adhesive, mixing isocyanate serving as the adhesive with polyol according to a volume ratio of 1: 5, and continuously and uniformly mixing; then the mixed raw materials are injected into a mold coated with a release agent in advance, the mold temperature ranges from 40 DEG C to 60 DEG C, the foaming curing time ranges from 15 min to 20 min, and the Fenton-like functional filler can be obtained. The invention relates to an application of a Fenton-like functional filler in constructed wetlands. The method has the beneficial effects that the method is not influenced by temperature, and the removal effect of the constructed wetland on nitrate nitrogen and refractory COD (Chemical Oxygen Demand) can be obviously enhanced.

The invention relates to the technical field of sewage treatment, in particular to a dynamic control method applied to a culture tail water circulation treatment system. The method comprises the following steps: continuously detecting aquaculture tail water on a water inlet pipeline, calculating the ratio of chemical oxygen demand to five-day biochemical oxygen demand as a first degradation index, and calculating the ratio of ultraviolet absorbance to total organic carbon concentration as a second degradation index; according to the first degradation index and the second degradation index, identifying aging complementary and range complementary organic load degradation characteristics, and determining a process treatment path based on the organic load degradation characteristics; performing primary pretreatment on the aquaculture tail water in different process treatment paths to obtain intermediate water quality data; detecting the ammonia nitrogen concentration of the intermediate water quality data, and extracting the time change rate of the ammonia nitrogen concentration as an ammonia nitrogen conversion parameter. According to the invention, the oxygen utilization efficiency and the removal rate of organic matters and nitrogen are improved through regional dissolved oxygen and function configuration optimization.

The invention relates to the technical field of wastewater recovery, in particular to a recovery device and process for reactive dye dyeing wastewater, and the recovery device comprises a tank body which is internally provided with a filter plate and a cleaning assembly, and the cleaning assembly comprises a cleaning plate; the collecting assembly comprises a collecting box mounted above the cleaning plate; the flushing assembly comprises a plurality of groups of connecting rods, and nozzles are mounted on the plurality of groups of connecting rods; the device has the beneficial effects that reactive dye dyeing wastewater is filtered through the filter plate, when the motor drives the cleaning plate to rotate, the elastically arranged scraping plate can scrape residues attached to the surface of the filter plate, the residues are prevented from blocking filter holes in the filter plate, and when the cleaning plate rotates, the residues scraped by the scraping plate are accumulated in the collecting frame, so that the cleaning effect is good. And under the flowing of the water flow, the water flows into the collecting box through the through groove, so that the residues are collected.

The invention belongs to the technical field of wastewater treatment, and provides a wastewater treatment equipment remote control system based on the Internet of Things, which aims at solving the problems that the traditional fixed DO concentration control cannot adapt to water inlet load fluctuation, the effluent is easy to be substandard or the aeration energy consumption is high, the monitoring data noise is large, and the time sequence is misplaced. According to the scheme, a multi-dimensional real-time sensing network is constructed, flow, COD, BOD, ammonia nitrogen, water temperature, distributed DO and sludge activity sensors are deployed, discrete wavelet transform is adopted for noise reduction, and a data time sequence is aligned; a three-layer load-DO-energy consumption dynamic correlation model is designed, a basic layer predicts a load trend through LSTM, a middle layer quantifies a DO demand through a microbial metabolism model, and an optimization layer outputs an optimal DO set value through a PPO algorithm; and developing a dynamic decision-making system, adaptively generating a DO interval according to a load state, and adjusting fan parameters and number in a linkage manner. According to the invention, load dynamic adaptation is realized, effluent ammonia nitrogen is guaranteed to reach the standard, aeration energy consumption is reduced, and remote control precision and equipment operation efficiency are improved.

The invention belongs to the technical field of sewage treatment, and particularly relates to an anaerobic ammonia oxidation-photoelectric denitrification deep nitrogen removal method. The method comprises the following steps: firstly, adopting a double-chamber reactor; introducing part of sewage into the cathode chamber, carrying out Anammox reaction under a dark state condition to remove ammonia nitrogen and part of nitrite nitrogen, and synchronously generating nitrate nitrogen; turning on a light source to irradiate the anode chamber, exciting photo-induced electrons by a photosensitizer, transmitting the photo-induced electrons to the cathode chamber through an external circuit, and driving the sulfur autotrophic denitrification sludge to reduce residual nitrite nitrogen and nitrate nitrogen generated by Anammox; the total nitrogen removal rate is close to 100%. According to the invention, photo-induced electrons are used as the only denitrification electron donor, so that the addition of a carbon source / sulfide is thoroughly avoided, and the risk of secondary pollution is eliminated. The method is suitable for green low-carbon deep treatment of sludge digestion liquid and pharmaceutical wastewater high-ammonia-nitrogen low-carbon-nitrogen-ratio sewage.

The invention discloses a micro-nano air flotation coupling critical micro-flocculation phosphorus removal control method, which relates to the technical field of water treatment, and comprises the following steps: when the total phosphorus concentration is lower than a preset concentration threshold value, determining the proportion of non-target particles based on the water turbidity and particle spectrum distribution; adding a flocculating agent according to a preset critical dosage to generate target phosphorus floc, and synchronously forming a primary flocculation phase which can be distinguished from non-target particles; applying an interfacial activity regulation factor to the micro-nano bubbles based on the primary flocculation phase, and performing selective regulation; forming a bubble-phosphorus floc complex based on a selective regulation effect; the bubble-phosphorus floc complex is separated and removed in an air flotation mode, the competition intensity history of non-target particles is recorded, and a competition memory curve is formed. According to the method, interfacial activity regulation factors are applied to the surfaces of the micro-nano bubbles, so that the micro-nano bubbles can preferentially and selectively adsorb target phosphorus floc, and efficient removal of low-concentration total phosphorus is realized.

The invention provides a low C / N sewage nitrogen and phosphorus removal method based on MABR-DPR-anaerobic ammonia oxidation, which couples anaerobic, membrane aeration anoxic and anaerobic ammonia oxidation processes, forms an anoxic environment in a water phase of a membrane aeration reactor, and enriches denitrifying phosphorus-accumulating bacteria. And the anaerobic phosphorus release and anoxic denitrification nitrogen and phosphorus removal processes of the denitrifying phosphorus-accumulating bacteria are realized through the backflow of the sludge between the anaerobic tank and the membrane aeration reactor. Nitrite accumulated in effluent of the membrane aeration reactor supplements an electron acceptor for a subsequent anaerobic ammonia oxidation deep denitrification process, and meanwhile, a carbon source is obviously consumed in an anoxic denitrification nitrogen and phosphorus removal process of the membrane aeration reactor, so that inhibition of influent organic matters on an anaerobic ammonia oxidation process is effectively weakened. The process solves the problem that the carbon source is seriously insufficient in the nitrogen and phosphorus removal process of the low C / N sewage, and the stable and efficient nitrogen and phosphorus removal effect can still be maintained under the condition that an external carbon source is not needed.

The invention provides a soybean protein nanoparticle coagulant for removing perfluorinated compounds in water as well as a preparation method and application thereof. The preparation method comprises the following steps: firstly, preparing N, N-dimethyl hexadecylamine and epoxy chloropropane into a reaction precursor, namely epoxy propyl hexadecyl dimethyl ammonium chloride; meanwhile, hydrolyzing the soybean protein isolate by using protease to obtain a hydrolyzed soybean protein solution; enabling the epoxy group on the epoxy propyl hexadecyl dimethyl ammonium chloride and the amino group on the hydrolyzed soybean protein to be subjected to ring-opening addition reaction so as to be grafted to the hydrolyzed soybean protein, and adding acetone to generate precipitate after the reaction is finished; and collecting the precipitate, washing and drying to obtain the soybean protein nanoparticle coagulant for removing the perfluorinated compounds in the water. The soybean protein nanoparticle coagulant prepared by the invention utilizes strong electrostatic interaction and hydrophobic interaction, the removal capacity and selectivity of the soybean protein nanoparticle coagulant on PFAS are far higher than those of a traditional coagulant, and the soybean protein nanoparticle coagulant has excellent removal efficiency and remarkable anti-interference capability.

The invention discloses a system and a method for classified sewage treatment, and belongs to the technical field of environmental engineering and water treatment. The system comprises the following components: an intelligent water quality detection module, which is used for real-time and accurate monitoring of COD, BOD, ammonia nitrogen, total phosphorus, suspended matter concentration and heavy metal content; the sectional bioreactor realizes deep removal of nitrogen and phosphorus and efficient biological treatment by flexibly adjusting reaction conditions of each section; the intelligent flocculation control module is used for automatically and accurately adjusting the adding amount of a flocculating agent, and is combined with integrated operation of efficient inclined tube precipitation and sludge concentration, so that the water quality of discharged water is stable, and the medicament consumption is reduced; the ultrafiltration membrane bioreactor effectively removes residual suspended matters and colloids, and ensures that the effluent stably reaches the standard for a long time through the synergistic effect of catalytic ozonation; and the sludge treatment module is used for realizing collaborative optimization management of sludge reduction, recycling and energy recycling.

The invention discloses a preparation method and application of monolithic BiVO4 photocatalytic foamed ceramic. The method comprises the following steps: 1) preparing composite slurry containing BiVO4 powder, an organic additive and a reinforced phase; (2) uniformly attaching the composite slurry to the organic foam skeleton by adopting an impregnation method; 3) performing drying and heat treatment to remove organic components; and 4) performing high-temperature sintering to form the three-dimensional communicated porous structure. Through the structure-function integrated design, the problems that a traditional powder catalyst is difficult to recover, the activity of an immobilized catalyst is low and a supported catalyst is easy to fall off are solved. The obtained product is high in porosity, the compressive strength is larger than or equal to 0.1 MPa, the specific surface area is larger than or equal to 0.1 m < 2 > / g, visible light can be efficiently utilized for degrading emerging organic pollutants in water, and the degradation rate reaches 20-99%. The material has no nano-particle leakage risk, has excellent mechanical strength, chemical stability and engineering applicability, and provides a feasible scheme for large-scale application of a photocatalytic water treatment technology.

The invention discloses a process and equipment for synthesizing fluorapatite from wastewater, the equipment comprises a blending tank, a dispensing tank, a crystallization fluidized bed reactor, a reaction tank, a coagulation tank, a flocculation tank, a sedimentation tank, a pH detection device, a lift pump and a control system, fluorine-containing sewage and phosphorus-containing sewage are mixed in the blending tank, so that the molar ratio of fluorine to phosphorus is 0.34-0.4; the method comprises the following steps: adding fluorapatite into a reaction tank, adjusting the pH value to 7.5-8.5, pumping the fluorapatite and lime slurry into a crystallization fluidized bed reactor according to a calcium-phosphorus molar ratio of (3-3.5): 1, carrying out a crystallization reaction, naturally airing the generated fluorapatite crystals, carrying out a reaction on crystallization treatment water and the lime slurry in the reaction tank to remove fluorine and phosphorus, carrying out coagulation, flocculation and precipitation treatment, and discharging the effluent after reaching the standard. The high-quality fluorapatite product is prepared from the fluorine-containing sewage and the phosphorus-containing sewage, so that the preparation cost is low, and resourceful treatment of the fluorine-containing sewage and the phosphorus-containing sewage is realized.

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 present invention relates to a modular and scalable system for intelligent vertical farming infrastructure, using the latest in water recycling sciences, and artificial-intelligence based automation. This helps to combat the issue of sustainable Agriculture+its minimizing usage of water, energy, and space. It combines a vertical farming structure with multiple levels of cultivation with an irrigation and drainage system to achieve recirculation of water. The water recycling unit consists of rainwater harvesting, wastewater collection and multi-stage treatment subsystems, which can guarantee a continuous supply of high-quality recycled water for irrigation. The invention also combines a network of Internet of Things (IoT)-enabled sensors and AI-based control circuitry to track and manage environmental conditions (e.g. light intensity, humidity, temperature, and nutrient levels).

The invention discloses a quality-divided treatment and recycling method for lead-zinc beneficiation wastewater, and belongs to the technical field of beneficiation wastewater treatment.The method comprises the steps that beneficiation tail water is introduced into a Fenton reaction tank, a catalyst is added firstly, then hydrogen peroxide is added, a Fenton oxidation reaction is conducted, after the Fenton oxidation reaction is finished, the beneficiation tail water is introduced into a coagulation reaction tank, caustic soda liquid is added, and the mixture is stirred and mixed uniformly; adding a precipitating agent, a flocculating agent and a stabilizing agent, and flocculating and settling the precipitate; introducing the beneficiation tail water added with the treatment agent into a honeycomb inclined tube sedimentation tank, further flocculating and settling, then returning flocculated precipitates in a bottom tank to a coagulation reaction tank, and discharging redundant bottom mud into a tailing pond; and settled clear water enters a clear water tank and is used as production water for ore grinding classification and flotation operation. According to the invention, through quality-divided treatment-quality-divided recycling of the beneficiation wastewater, it is ensured that the beneficiation tail water meets the requirements of ore grinding and flotation production indexes, the treatment cost of concentrate overflow water and filtered water is reduced, and the purpose of 100% recycling of the beneficiation wastewater after quality-divided treatment is achieved.

The invention belongs to the technical field of wastewater treatment, and particularly relates to a composite material as well as a preparation method and application thereof. According to the composite material, blended hydrogel of sodium alginate and polyvinyl alcohol is used as a matrix, zeolite molecular sieves, activated charcoal and zero-valent iron particles are embedded into the matrix to form microspheres, sulfate reducing bacteria are immobilized on the surfaces of the microspheres, the composite material is directly added into a mine water anaerobic reactor, the sulfate radical removal rate exceeds 92%, and the sulfate radical removal rate exceeds 92%. Heavy metals such as Cu, Pb and Cr in the mine water can be synchronously precipitated, and the treatment efficiency and stability of the anaerobic system are remarkably improved.