1486 results about "Ammoniacal nitrogen" patented technology

The invention belongs to the technical field of river and lake water quality monitoring, and discloses a river and lake water quality intelligent traceability monitoring system and method.Dissolved organic matter fluorescent fingerprints are analyzed in real time through a three-dimensional fluorescent monitoring unit, pollution markers are detected, and parameters such as COD, ammonia nitrogen and total phosphorus are synchronously detected through a full-spectrum monitoring unit; the video monitoring unit is used for collecting section images / videos of rivers and lakes, other sensors are used for collecting real-time values of chlorophyll, pH, conductivity, turbidity and dissolved oxygen in a water body, then the data processing module is used for carrying out normalization processing on multi-source data, and the analysis and early warning module is used for analyzing water quality early warning scores, spectrum early warning scores and video early warning scores. All scores are synthesized to obtain a comprehensive early warning score, traceability is started when comprehensive early warning is larger than or equal to the grade II, pollution sources are recognized based on three-dimensional fluorescence spectrum comparison and upstream patrol, and a river and lake water body monitoring-early warning-traceability-verification closed loop is achieved.

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 provides a digital twinborn monitoring, regulating and controlling method for a copepod bait biological domestication process. The method comprises the following steps: establishing a micro-ecology and population dynamics coupled twinborn model, and defining a monitoring parameter and control object unified term system; collecting multi-source sensing data at an edge end, and performing clock synchronization, signal denoising and state estimation to obtain a micro-ecology, group and water body state joint estimation result; executing parameter online identification based on state estimation, and constructing a safety constraint set of ammonia nitrogen, dissolved oxygen, death rate, environment change rate and the like; the breeding efficiency improvement and the system stability balance are realized through a multi-objective optimization function; and generating a micro-ecological pulse and environment gradual change cooperative control action set according to a solving result, and when a set condition is met, outputting a domestication prescription and terminating the process. Intelligent, low-stress and high-stability regulation and control of a copepod domestication process are realized through digital twin modeling, rolling predictive control and a self-evolution updating mechanism.

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 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 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.

According to the plasma aquaculture water purification method and system, a cold plasma directional screening technology is used as a core to construct a cold plasma water treatment module, a nanosecond pulse plasma generator is used for exciting a gas medium to form cold plasma, active particles are screened in situ through a directional screening assembly, and the cold plasma water treatment module is used for purifying aquaculture water. The method comprises the following steps: introducing ammonia nitrogen into a water body, guiding < 1 > O2 to be quickly injected into the water body, instantaneously completing a primary purification reaction in a gas-liquid intersection chamber, further, in order to fully utilize residual active particles, directionally converting a reaction precursor O3 of < 1 > O2 into < 1 > O2 through a catalytic dissociation module, and completing a secondary purification reaction between the < 1 > O2 and the ammonia nitrogen. Ammonia nitrogen is directionally converted into nitrogen by utilizing a 1O2-dominated non-free radical reaction path, the content of ammonia nitrogen and total inorganic nitrogen in a water body is reduced, and after purification is completed, oxidizing components in the water body and tail gas are respectively removed by adopting a by-product removal assembly, so that the use safety is guaranteed.

The invention discloses a nitrifying bacterium agent suitable for aquarium, fishpond and other aquatic industries, the strain of the nitrifying bacterium agent is Glutamicacter nicotianae TJ-X, the nitrifying bacterium agent is preserved in Guangdong Microbial Culture Collection Center on February 12, 2025, and the preservation number is GDMCC NO.65877. The invention further discloses a preparation method of the nitrifying bacterium agent. The nitrifying bacteria TJ-X strain suitable for the aquarium industry can perform heterotrophic nitrification and aerobic denitrification under the condition that the salt content is 5wt%, under the condition of laboratory pure culture, within 8 hours, the removal rate of ammonia nitrogen, nitrite nitrogen and nitrate nitrogen is 99% or above, the COD degradation rate is 81%, the nitrifying bacteria TJ-X strain is suitable for the environment where organic matter, ammonia nitrogen, nitrite and nitrate coexist, and the nitrifying bacteria TJ-X strain can be applied to the aquarium industry. The microbial agent has the functions of degrading organic matters such as excrement of ornamental fish and fish food, converting organic nitrogen into inorganic nitrogen, and simultaneously degrading inorganic nitrogen such as ammonia nitrogen, nitrite nitrogen and nitrate nitrogen into nitrogen. And the strain is high in biological safety, high in environmental adaptability and high in growth density, can be applied to water industries with high organic matter content and inorganic nitrogen, such as the aquarium industry and aquaculture, and has a wide application prospect.

The utility model provides a waste liquid treatment device for coal gas desulfurization, belongs to the technical field of wastewater treatment, and aims to solve the problems that only part of suspended solids can be removed or the pH value can be adjusted during desulfurization wastewater treatment in the prior art, and collaborative removal of pollutants such as sulfides, ammonia nitrogen, heavy metals and the like cannot be realized. The device comprises a waste liquid pool, a reaction tank, a decomposition tank and an ultrafilter which are sequentially communicated through communicating pipes, the waste liquid pool is connected with a liquid inlet pipe and is internally provided with a filter plate with filter holes, a first stirring shaft with stirring blades driven by a first motor is arranged in the reaction tank, the top of the reaction tank is connected with a liquid adding pipe, a second stirring shaft with stirring blades driven by a second motor is arranged in the decomposition tank, one side of the decomposition tank is provided with an air blower connected with the decomposition tank through an oxygen supply pipe, and the top of the decomposition tank is connected with an exhaust pipe. The device realizes full-flow treatment of waste liquid, the filter plate removes large impurities to prevent blockage, stirring promotes chemical reaction, oxygen supply and stirring improve microbial activity, the ultrafilter ensures effluent quality, efficient and continuous treatment can be realized, and pollution is reduced.

The invention discloses a method for evaluating piglet feed digestibility based on excrement indexes, and particularly relates to the field of piglet feed digestibility evaluation.The method comprises the steps that a piglet excrement sample under target feed intervention is obtained, and multiple biochemical index data in a preset time sequence are collected for the excrement sample; the biochemical index data comprises moisture content, ammonia nitrogen concentration and short-chain fatty acid concentration, and a corresponding excrement index original data sequence is formed according to the biochemical index data. Continuous aggregation of discontinuous sampling data is realized by constructing a sample index structure, and in combination with frequency domain feature extraction, interpolation reconstruction and a collaborative tensor modeling mechanism, an absorptivity inversion path having a robust adaptability to missing and asynchronous data is established. The key problems that in the prior art, a current evaluation method seriously depends on data integrity, and discontinuous information in a real sampling environment cannot be processed are solved.

The utility model provides a low-carbon high-efficiency biochemical system control system. The low-carbon high-efficiency biochemical system control system comprises an internal reflux control module, a carbon source adding module and a precise aeration module, the internal reflux control module is used for refluxing nitrate nitrogen required to be denitrified to the anoxic tank for denitrification; the carbon source adding module is used for giving the current required dosage through online nitrate nitrogen instruments arranged in an anoxic tank and an aeration tank according to dynamic nitrate nitrogen value comparison and variation trend comparison at the tail end of the anoxic tank; and the accurate aeration module reads the real-time numerical value of ammonia nitrogen at the tail end of the aeration tank, performs mean value calculation on the numerical value in each period, performs difference value calculation on the average value of ammonia nitrogen in the current period and the average value of ammonia nitrogen in the last period, and reaches the numerical value of dissolved oxygen through frequency adjustment of an aeration fan to run in a required operation interval. The control method of the low-carbon high-efficiency biochemical system aims to realize low-carbon high-efficiency accurate control of the biochemical system, aeration as required, addition of an external carbon source and control of internal reflux.

The invention discloses application of sodium tetraphenylborate in carbon sourcing of landfill leachate and a carbon sourcing method and device. According to the invention, sodium tetraphenylborate is used as an ammonia nitrogen removing agent and is added into the percolate sewage of the organic garbage, so that the carbon nitrogen ratio of supernatant liquid is increased, and then the supernatant liquid is used as a carbon source. The basic principle that sodium tetraphenylborate is subjected to a precipitation reaction with ammonia ions in an aqueous solution is utilized, then standing separation is selected according to precipitation properties, and discharged water can be stored as a carbon source or directly added into a water treatment process in the form of the carbon source. The precipitate is collected and dehydrated, the precipitate can be recycled as a precipitant after being heated and recovered by alkali liquor, and the released concentrated ammonia gas is collected and can be used for industrial production. The method has the advantages of high reaction efficiency, low interference degree, high controllability of carbon-nitrogen ratio, recyclable main reagents, low theoretical operation cost, obvious removal effect on chroma of sewage, and high industrial value of discharged carbon-sourced water.

The invention provides a Yellow River water irrigation area non-point source pollution load space-time analysis method, and relates to the technical field of Yellow River water irrigation area non-point source pollution monitoring and analysis, and the method comprises the following steps: S1, collecting and preprocessing multi-source basic data; according to the Yellow River water irrigation area non-point source pollution load space-time analysis method, total nitrogen and ammonia nitrogen are accurately recognized as core pollutants through three-stage fuzzy comprehensive evaluation, the recognition accuracy is improved to 90% or above, and the problem that recognition is fuzzy in a traditional method is solved; by combining nitrogen and oxygen isotopes and a flora active chip, the manure sewage is determined as a main source of nitrogen for the first time, the traceability error is controlled within 10%, and the pollution source analysis blank is filled up; a core pollution area is defined through a gravity center migration model, the pollution load space-time distribution visualization degree is improved by 60%, and area differentiation treatment is achieved; a coupling migration model is constructed, the mechanism of reverse migration of pollutants caused by irrigation return water is clarified for the first time, and the interpretation precision reaches 85%.

The invention discloses a dissolved oxygen closed-loop regulation and control method used in a sewage treatment process. The method comprises the following steps: acquiring real-time dissolved oxygen concentration in a reaction tank through a distributed sensor array, and performing temperature compensation; an online water quality analyzer is used for collecting water inlet flow, chemical oxygen demand, ammonia nitrogen and water temperature to construct a comprehensive input feature vector; establishing a nonlinear dynamic mapping model based on a deep neural network, and outputting a target dissolved oxygen set value changing along with working conditions; an aeration adjusting instruction is generated by adopting a feedforward-feedback composite adaptive fuzzy PID control algorithm; dynamically adjusting the air volume of an air blower and the opening density of a partition aeration disc to match the aerobic rate of microorganisms; and the control performance is evaluated regularly, and a model parameter online optimization mechanism is triggered to continuously improve the setting precision. According to the method disclosed by the invention, the dissolved oxygen can be accurately controlled, so that the aeration energy consumption is reduced by not less than 18%, the control precision is within + / -0.3 mg / L, and the robustness, the automation level and the low-carbon operation capability of the system are remarkably improved.

The invention relates to the technical field of wastewater treatment or water quality purification, in particular to a method for synchronously culturing ammonia oxidizing bacteria and nitrite oxidizing bacteria, which comprises the following steps: selecting an inorganic material which is large in specific surface area and can quickly neutralize and release alkalinity as a nitrifying bacteria attachment carrier and an alkalinity supplement / pH regulator; the carrier is dissolved through nitration acid production, carbon dioxide and alkalinity are released, a carbon source and alkalinity required by growth are provided for nitrifying bacteria, and propagation of the nitrifying bacteria is promoted. Ammonia oxidizing bacteria and nitrite oxidizing bacteria are cultured synchronously by controlling the growth speed of the two bacteria in the culture process. By controlling the ammonia nitrogen concentration and nitrite concentration of the effluent at the end of culture to be lower than 50mg / L, sufficient time is provided for nitrite oxidizing bacteria to decompose an intermediate product nitrite, so that the purpose of simultaneously culturing AOB and NOB is achieved.

The invention belongs to the technical field of magnesium desulfurization wastewater treatment, and particularly relates to a magnesium desulfurization wastewater ammonia nitrogen and heavy metal ion cooperative treatment system which is characterized by comprising a vertical flow sedimentation tank, a stirring reaction device and a cyclone separator, and an outlet of the vertical flow sedimentation tank is connected with an inlet of the cyclone separator through a material transfer pipeline; a bottom outlet of the cyclone separator is connected with a stirring reaction device, the stirring reaction device is connected with an inlet of the vertical flow sedimentation tank through a seed crystal pump and a seed crystal pipeline, the stirring reaction device is connected with an automatic phosphate dosing feeder, the bottom of the stirring reaction device is connected with a blow-off pipeline through an automatic blow-off valve, and the treated desulfurization wastewater enters a downstream sewage treatment plant or is subjected to slag flushing. The method has the advantages that denitrification efficiency is high, reaction is stable, ammonia nitrogen and heavy metal ions in the magnesium desulfurization wastewater are synergistically removed, separated magnesium ammonium phosphate (struvite) precipitate crystals are used as seed crystals to return and adsorb, excessive addition of phosphate agents is reduced, and the effect of mixed reaction can be guaranteed.

The invention belongs to the field of wastewater treatment and industrial automatic control, and particularly relates to an intelligent dosing control method based on water quality online monitoring. The method comprises the following steps: capturing a water body spectrum fingerprint spectrum by using a full-spectrum scanning module to obtain a characteristic signal sequence; a chemical informatics molecular algorithm is introduced for preprocessing and feature enhancement, and molecular fingerprint information is recognized; a convolutional neural network model is constructed to decouple chemical oxygen demand, ammonia nitrogen, total phosphorus and water toxicity indexes from the spectral signals, and multi-parameter parallel inversion is achieved; and based on the inversion index and the spectral dynamic trend, the dosage is calculated through an intelligent decision-making algorithm, and accurate dosing of the medicament is driven. According to the invention, through fusion of full spectrum scanning and deep learning, high-precision anti-interference water quality perception is realized, potential risks can be identified and preventive intervention can be carried out, and the intelligent level and economical efficiency of dosing control are improved.

An ecological combined constructed wetland system for rare earth mine tail water treatment is characterized in that a downward vertical flow wetland and an upward vertical flow wetland of a three-stage combined wetland system are communicated through a bottom communicating pipe, and the upward vertical flow wetland and a floating island wetland are communicated through an upper overflow weir; the tail water treated by the sewage adjusting tank sequentially flows through the downward vertical flow wetland, the upward vertical flow wetland and the floating island wetland; each of the downward vertical flow wetland and the upward vertical flow wetland comprises a filler layer with a three-layer structure, and the upper layer is a plant substrate layer and is composed of fine sand or sandy loam; the middle layer is a functional material layer and is composed of hematite, zeolite or activated carbon; the lower layer is a supporting layer and is composed of coarse sand or gravel; and the aquatic plants of the floating island wetland adsorb pollutants in the water body through root systems, and decompose residual pollutants by utilizing the metabolism of the plants. The tail water treatment device can efficiently remove particular pollutants such as ammonia nitrogen, nitrate nitrogen, heavy metals and rare earth elements in the tail water of the rare earth mine.

The invention discloses artificial soil based on manganese slag, red mud and ardealite. The artificial soil is mainly prepared from a manganese slag-red mud-ardealite mixed matrix and a modifier, the weight ratio of the manganese slag to the red mud to the ardealite in the manganese slag-red mud-ardealite mixed matrix is (0.4-1.6): (0.1-0.5): (0.5-0.9); the modifier comprises calcium oxide, and further comprises rice straw, biochar, zeolite or a combination thereof, and the modifier accounts for 1-15% of the weight of the artificial soil. Accordingly, a corresponding preparation method is also established. According to the method, the three solid wastes are mixed according to the characteristics, so that specific pollutants such as ammonia nitrogen, phosphorus, fluorine and Mn < 2 + > can be fixed, the reduction of heavy metals is realized, the nutrients beneficial to plant growth are reserved, the artificial soil with rich nutrients is synchronously reconstructed, the qualitative change from waste residues to resources is realized, the process is simple, and the effect is good. The obtained artificial soil can be used for greening planting, supplementing manganese ore, aluminum ore and phosphorite surrounding soil deficiency areas, and solving the problems of no soil, ploughability and ecological restoration of mining areas.

The invention relates to the technical field of early warning and monitoring, in particular to a deep groundwater supplementation data analysis and early warning system which comprises a signal processing module, an oxygen consumption analysis module, a nitrogen transmetabolism module, a risk identification module and a coupling optimization module. According to the method, the metabolism trend is analyzed by synchronously collecting underground multi-depth chemical indexes and removing noise, establishing a unified time sequence data set, extracting dissolved oxygen, nitrate and ammonia nitrogen concentration change characteristics, calculating the oxygen dissipation rate and constructing the time-depth distribution relation, and combining nitrogen conversion rate regression. A risk section is identified according to the directions of oxygen dissipation increase and metabolism decrease, the micro-potential gradient and coupling index change are further analyzed in combination with an electrochemical change rule, dynamic identification and risk early warning of the deep groundwater refilling process are achieved, and monitoring is changed from static data comparison to multi-dimensional dynamic analysis. The accuracy and the timeliness of abnormal recognition are improved, and the complement safety and the continuity and the reliability of data results are guaranteed.

The utility model relates to a device for removing ammonia nitrogen in high-salinity wastewater. The device comprises a buffer tank, a raw material conveying pump, a raw material preheater, a concentration tower I, a concentration tower II and a concentration tower III which are connected in sequence, tower kettles of the concentration tower I, the concentration tower II and the concentration tower III are respectively connected with corresponding reboilers and tower kettle liquid delivery pumps, and tower tops of the concentration tower I, the concentration tower II and the concentration tower III are respectively connected with corresponding tower top liquid reflux tanks, tower top reflux pumps and tower top coolers; and the tower top liquid return tanks of the concentration tower II and the concentration tower III are respectively connected with corresponding deep coolers. According to the device, three-tower triple-effect differential pressure thermal coupling rectification is adopted, ammonia nitrogen in the high-salinity wastewater is effectively removed, all effective components are recycled, purified water at the top of each tower can be used for preparing 20 (wt)% of ammonia water, and concentrated liquid at the bottom of the tower can be used for refining saline water in the chlor-alkali chemical industry; the tower top steam of the concentration tower I can be used as a heat source of the concentration tower II, and the tower top steam of the concentration tower II can be used as a heat source of the concentration tower III, so that the steam consumption is greatly reduced.

The invention belongs to the field of microorganisms, and particularly relates to a high-efficiency denitrification heterotrophic nitrification-aerobic denitrification klebsiella and a culture method and application thereof.A biological material of the high-efficiency denitrification heterotrophic nitrification-aerobic denitrification klebsiella is named as Klebsiella oxytoca CT4 and is preserved in Guangdong Microbial Culture Collection Center (GDMCC) on July 21, 2025, the preservation number of the Klebsiella oxytoca CT4 is CGMCC NO.9687, and the preservation number of the Klebsiella oxytoca CT4 is CGMCC NO.987. The preservation address is Institute of Microbiology, Guangdong Academy of Sciences, on the fifth floor of building 59, No. 100 courtyard, Xianlie Middle Road, Guangzhou, Guangdong Province; the preservation number of the strain is GDMCCNO: 66723; according to the strain, the ammonia nitrogen removal rate can reach 98.7% through nitrification-denitrification, the nitrite accumulation amount in the whole process is lower than 0.5 mg / L, and accumulation of toxic intermediate products is avoided. The strain has wide environmental adaptability, can keep efficient denitrification activity under the conditions that the pH is 5.0-10.0 and the C / N ratio is 5-30, can tolerate fluctuation of wastewater quality, does not need to repeatedly adjust the pH value when being used for treating aquaculture wastewater with a high C / N ratio (greater than 20), and can still stabilize the total nitrogen removal rate to be 80% or above, so that the addition cost in a conventional process is remarkably reduced.

The invention discloses a microbial fermentation chicken manure fish fertilizer for aquaculture and a preparation method of the microbial fermentation chicken manure fish fertilizer, and belongs to the technical field of agricultural waste resource utilization. The method comprises the following steps: firstly, flushing chicken manure of cage rearing chickens with a photosynthetic bacterium solution and screening out particles; then adding EM bacteria and lactic acid bacteria for composting fermentation; drying the fermentation product; and finally adding zeolite powder loaded with photosynthetic bacteria, mixing and modifying to obtain the final fish fertilizer. Through a unique process of combining multi-strain synergistic fermentation and zeolite powder modification, thorough harmlessness and recycling of the chicken manure are realized. The obtained fish fertilizer not only has comprehensive nutrition and lasting fertilizer efficiency, can effectively promote the growth of plankton in an aquaculture pond, but also has the functions of adsorbing and degrading ammonia nitrogen, hydrogen sulfide and other harmful substances in a water body, and has the remarkable advantages of improving water quality, reducing diseases and increasing the culture yield.

According to the sewage treatment supply chain demand frequency domain feature prediction method provided by the invention, accurate prediction of future demands of a sewage treatment supply chain is realized. The method comprises the following steps: acquiring methanol dosage, air flow, internal reflux flow, water inlet flow, water inlet ammonia nitrogen concentration and water inlet chemical oxygen demand as model input variables through a sensor, and establishing a prediction model based on a frequency domain characteristic modulation neural network; constructing a frequency domain feature embedding layer to perform frequency domain causal feature extraction on input variables, capturing a dynamic dependency relationship among the variables, designing a direction modulation attention mechanism, adjusting query matrix and key matrix directions in the attention mechanism by using a direction modulation matrix, and adaptively weakening the influence of propagation interference among the variables on a prediction result; model parameters are dynamically updated in combination with sewage treatment operation data, a prediction model with variable-dependent self-adaption and interference suppression capabilities is formed, and high-precision prediction of future demands of a sewage treatment supply chain is realized.

The invention discloses a water plant inlet water quality change identification method and system, and the method comprises the steps: collecting water plant inlet water turbidity, pH value, dissolved oxygen content, COD concentration, ammonia nitrogen concentration, total phosphorus concentration and other parameters, removing abnormal values, and constructing a water quality parameter time sequence data set; causal association among parameters is mined through a causal inference-based hybrid model, a weight matrix is generated, after the matrix and time sequence data are fused, bidirectional time features are extracted through a bidirectional long-short-term memory network in combination with an attention mechanism, attention weights are given, and then a gradient elevator integrated model is input; a plurality of base learners are used for parallel learning and dynamic weighted fusion of local results to obtain a preliminary recognition result, and finally the preliminary recognition result is mapped to a water quality change type space to determine a change type. The system comprises six units, a complete and efficient treatment flow is formed from water quality parameter collection to final recognition result output, and the actual requirements of a water plant for high-precision and high-reliability recognition of inflow water quality changes are practically met.

The invention belongs to the field of water resource purification, and particularly relates to preparation and application of a solar photo-thermal water evaporation material with ammonia resistance and salt resistance. The evaporation material comprises a porous substrate material, polyelectrolyte hydrogel loaded in the substrate material and a photo-thermal material, and the difunctional solar evaporation material with ammonia nitrogen interception and salt resistance is obtained by polymerizing different types of polyelectrolyte hydrogel and photo-thermal material on the inner and outer surfaces of the substrate in situ. The prepared polyelectrolyte hydrogel evaporation material not only can utilize solar photo-thermal efficient evaporation to produce water, but also can utilize charged groups of the polyelectrolyte hydrogel to generate Donnan repulsive interaction on ammonia nitrogen and salt ions, has ammonia nitrogen interception and salt resistance functions, and is suitable for purifying seawater and brackish water polluted by ammonia nitrogen.

The invention relates to the technical field of sewage treatment, and discloses a low-carbon-nitrogen-ratio ammonia-nitrogen wastewater treatment method, which comprises the following steps: measuring the carbon source concentration, ammonia-nitrogen concentration, flow and temperature of wastewater, inputting the carbon source and ammonia-nitrogen concentration into a prediction model to obtain a microbial activity predicted value, and determining the carbon source dosage based on the difference between the predicted value and an activity threshold value; converting the carbon source feeding amount into a reference feeding rate, and performing compensation correction on the denitrification rate through a temperature correction function to obtain an initial carbon source feeding rate; taking the subsequently monitored nitrogen-containing pollutant concentration of the effluent of the denitrification area as a feedback signal, comparing the feedback signal with the target concentration, and iteratively adjusting the feeding rate. According to the method, accurate matching of the carbon source feeding amount and the microbial metabolism requirement is achieved, the problems of unstable denitrification efficiency and secondary pollution caused by inaccurate carbon source feeding in a traditional process are effectively solved, and the effluent quality guarantee capacity is remarkably improved.

The pure membrane MBBR sewage treatment system comprises an anoxic denitrification zone, an anaerobic ammonia oxidation zone, an aerobic oxidation zone, a high-density sedimentation zone, an MBBR biological filtration zone, a backwashing water tank and an equipment room, the anoxic denitrification region is used for carrying out amination reaction, organic matter hydrolysis reaction and denitrification reaction on the sewage and nitrate and nitrite in the anoxic denitrification region; the anaerobic ammonia oxidation zone is used for reacting the sewage with nitrite to generate nitrogen; the aerobic oxidation zone is used for promoting microorganisms to degrade organic matters in sewage and convert ammonia nitrogen; the high-density settling zone is used for separating muddy water in sewage; the MBBR biological filtration area is used for filtering suspended matters in the sewage; the backwashing water tank is used for providing backwashing make-up water for the MBBR biological filtration area; and the equipment room is used for placing disinfection equipment, a fan and a power distribution control system.

The invention belongs to the technical field of coal chemical industry grey water treatment, and particularly relates to an advanced treatment method and system for coal chemical industry grey water circulating water. The method integrates pretreatment, complexing cracking, fractional crystallization and deep deamination, and is characterized in that a chelating structure of an organic phosphorus dispersing agent and calcium and magnesium ions is thoroughly destroyed through an advanced reduction-advanced oxidation combined process, target ions are released, and the core problems that hardness removal is hindered and phosphorus pollution is caused are solved; then, calcium and magnesium are respectively converted into calcium carbonate and magnesium ammonium phosphate particles for resource recovery by utilizing a secondary crystallization technology, so that the bottlenecks of high alkali liquor consumption and salt accumulation of a traditional high-pH magnesium ion precipitation method are broken through; and finally, the residual ammonia nitrogen is deeply removed by adopting a pollution-resistant PTFE hydrophobic membrane, so that the residual ammonia nitrogen is efficiently and stably removed, and the problem that a traditional polypropylene material membrane system is easy to pollute and block, easy to oxidize and difficult to apply to the field is solved.