1824 results about "Ammoniacal nitrogen" patented technology

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

The invention relates to the technical field of environment assessment, in particular to a coastal zone culture area multi-dimensional environment assessment method and a cloud platform. The method comprises the following steps: continuously recording dissolved oxygen concentration, pH value, centigrade temperature, salinity unit, turbidity scattering unit, chlorophyll fluorescence intensity, ammonia nitrogen milligram per liter and nitrite milligram per liter, synchronously calling multi-source remote sensing images covering a culture area and an adjacent water area, extracting remote sensing reflectivity data through image correction and atmospheric correction, and calculating to obtain water color parameters. According to the method, the water quality sensor array is deployed at the key point of the culture area, continuous multi-parameter environmental data acquisition is carried out, multi-source remote sensing images are synchronously integrated, water color information is extracted in real time, and the timeliness and data accuracy of culture water area environmental monitoring are improved; trend decomposition and dynamic baseline construction are carried out based on the data sequence, so that the environmental fluctuation evaluation of the breeding area is more objective and accurate.

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.

The invention relates to a microbial agent prepared based on a new strain of bacillus velezensis, which has the function of broad-spectrum antagonism of common pathogenic bacteria of aquatic products and can effectively prevent and / or treat bacterial diseases and / or fungal diseases of aquatic organisms including crustaceans and fishes. Meanwhile, the content of nitrite and ammonia nitrogen in aquaculture water can be effectively reduced, and the usage amount and residual quantity of antibiotics and chemical drugs in aquaculture are reduced.

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 present application relates to wastewater treatment technical field, specifically to a kind of ammonia nitrogen wastewater treatment method, the composite modified zeolite material in the present application has excellent physical adsorption capacity to ammonia nitrogen by virtue of its unique pore structure and surface properties, ammonia nitrogen molecules in wastewater can be quickly captured, then through the synergistic effect of composite photocatalyst under light and ultrasonic, strong oxidizing free radicals are generated, ammonia nitrogen molecules not completely adsorbed by zeolite material are deeply degraded, through the synergistic effect of adsorption and photocatalysis, the removal efficiency of ammonia nitrogen is significantly improved;After adsorption and photocatalytic treatment, the ammonia nitrogen concentration in wastewater has been greatly reduced, and resin adsorption treatment is used as a subsequent step, which can selectively adsorb residual trace amounts of ammonia nitrogen and other impurities, thereby realizing deep purification of wastewater and ensuring that the effluent quality meets or exceeds relevant discharge standards.

The invention belongs to the technical field of sewage treatment, and discloses a two-stage MABR-based efficient denitrification system, method and application, the system comprises an MABR-PN / DN reactor, an MABR-PN / A reactor, a peristaltic pump, an aeration hollow fiber membrane module, a carrier, an aeration pump, a gas flowmeter, a pressure gauge and a liquid flowmeter, and the MABR-PN / DN reactor and the MABR-PN / A reactor are arranged along the vertical direction. According to the system, the series design of the MABR-PN / DN and the MABR-PN / A is utilized, the adverse effect of organic matter in sewage on anaerobic ammonia oxidation treatment of high-concentration ammonia nitrogen wastewater is reduced, nitrate nitrogen generated by the MABR-PN / A flows back to the first-stage MABR-PN / DN to achieve denitrification, the denitrification limitation of a single reactor and a single denitrification path is broken through, and the overall total nitrogen removal rate of the system is higher than 90%.

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 relates to an intelligent aeration system and a control method, and belongs to the technical field of sewage treatment. The system comprises a clean water tank, an aeration tank, a data acquisition unit, a PLC control unit and an aeration unit. The system dynamically calculates the required DO set value by collecting the inlet water chemical oxygen demand, the clear water ammonia nitrogen concentration, the sludge concentration and the sewage temperature of sewage in real time, calculates the difference value between the actual DO value and the required DO set value, calculates the aeration amount needing to be adjusted, and finally adjusts the blast volume through the aeration unit. The problems that a traditional aeration system is high in energy consumption and low in control precision are solved, insufficient aeration or excessive aeration can be effectively avoided, and stable effluent quality is guaranteed.

The invention discloses an intelligent fish culture automatic control system and method based on the Internet of Things, and relates to the technical field of aquaculture control, the system comprises a data sensing unit used for collecting water quality parameters, environment parameters and fish behavior information of a culture environment in real time by using a multi-parameter water quality sensor and an environment sensor; the intelligent control unit is used for executing a multi-parameter association control algorithm and an early warning control strategy based on the breeding environment data and executing a control instruction to adjust breeding environment parameters; the network communication unit is used for establishing data communication connection between the local and the cloud; the remote application unit is used for remote monitoring and manual intervention; the intelligent control unit comprises a main control module which is used for establishing an ammonia nitrogen driven dissolved oxygen early warning control strategy according to the water quality parameters and generating a stage treatment instruction in combination with the environmental parameters. Multiple sensors and an automatic control algorithm are integrated, water quality parameters can be monitored in real time, and the fish culture environment can be automatically adjusted.

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 belongs to the technical field of environment, and relates to a method for preparing a fulvic acid-rich forestry liquid fertilizer by quickly decomposing municipal sludge, which comprises the following steps: carrying out hydrodynamic cavitation treatment on municipal sludge, adding a reaction reagent into the municipal sludge to carry out Fenton-like reaction, adding an adsorbent into the municipal sludge to carry out adsorption treatment, and carrying out solid-liquid separation to obtain the fulvic acid-rich forestry liquid fertilizer. The fulvic acid type forestry liquid fertilizer is obtained. The hydraulic cavitation treatment is combined with the Fenton-like reaction and the adsorption treatment, so that the problems of high heavy metal activation risk and serious ammonia nitrogen loss in the traditional process for preparing the fulvic acid-rich fertilizer from the sludge are effectively solved, the rapid decomposition of the municipal sludge is realized, and the yield of the fertilizer is improved. The fulvic acid-rich forestry liquid fertilizer with the functions of improving soil, promoting plant growth and the like is prepared, and the purpose of efficient, environment-friendly and low-cost sludge resource utilization is achieved.

The invention discloses an intelligent feces treatment system and method, and belongs to the field of sewage treatment.The intelligent feces treatment system comprises a data acquisition module used for collecting COD, ammonia nitrogen, DO, pH, water temperature, SS and microbial activity parameters of sewage in real time and conducting normalization processing on the collected water quality parameters to form a unified standard data basis; the first model module is used for optimizing membership function parameters and fuzzy rules of an adaptive neural fuzzy inference system by applying a particle swarm algorithm based on the data processed by the data acquisition module, outputting a predicted value of COD concentration in a biochemical pool in real time by training an ANFIS model, and forming a COD prediction model; and the second model module is used for constructing a Stacking integrated model by taking the COD predicted value in the first model module and the data processed in the data acquisition module as input, the integrated model comprises a base learner and a meta learner, and then a prediction result of the base learner is generated by adopting a five-fold cross validation mode.

The invention relates to the technical field of water quality monitoring, and discloses a water quality ammonia nitrogen on-line monitoring system and a detection method thereof.The system comprises a sampling unit, a reagent storing and adding unit, a reaction unit, a detection unit, a control processing unit and a cleaning unit; a standardized detection process is established, so that the reliability of ammonia nitrogen detection under different water quality conditions is ensured; the color development state change in the reaction process is monitored in real time through an automatic system, reagent activity abnormity and environmental interference factors can be recognized in real time, the problem of detection deviation caused by reagent instability and operation errors in a traditional method is solved, the accuracy of ammonia nitrogen concentration detection is improved, and the environmental monitoring risk is reduced; by dynamically analyzing the influence degree of environmental parameter change on a detection result, the stability and accuracy of ammonia nitrogen concentration detection under a complex water quality condition are ensured.

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.

The utility model provides a treatment system for wastewater with high ammonia nitrogen and low carbon nitrogen ratio, which relates to the technical field of wastewater treatment and comprises an aeration sedimentation tank group, a primary denitrification reactor, a water tank, a secondary denitrification reactor and a nitrification tank which are sequentially arranged along the wastewater treatment direction, the aeration sedimentation tank group is used for removing organic matters and suspended matters in the sewage, reducing the concentration of metal ions and adjusting the pH value of the sewage; the primary denitrification reactor is communicated with the aeration sedimentation tank group and is used for carrying out short-cut nitrification reaction and anaerobic ammonia oxidation reaction; the top of the water tank is communicated with the primary denitrification reactor, and the bottom of the water tank is communicated with the secondary denitrification reactor through a first pipeline; the second-stage denitrification reactor is used for carrying out denitrification reaction coupling short-cut denitrification reaction and anaerobic ammonia oxidation reaction, and the second-stage denitrification reactor is provided with a first water outlet communicated with the first pipeline and a second water outlet communicated with the nitrification tank. The treatment system can ensure that high-ammonia-nitrogen low-carbon-nitrogen-ratio wastewater treatment reaches the nanotube standard.

The invention relates to the technical field of water treatment, and discloses a sludge quality-divided reflux type aerobic-anoxic sulfur autotrophic activated sludge denitrification process. The process comprises the following steps: wastewater enters a sectional type aerobic tank, the wastewater enters the sectional type aerobic tank, organic matters are removed in a strengthened manner in a first section of aerobic tank, part of ammonia nitrogen is converted into nitrite nitrogen and nitrate nitrogen, and nitrification is strengthened in a second section of aerobic tank, so that the ammonia nitrogen is deeply removed; effluent of the sectional type aerobic tank enters an anoxic tank and is completely mixed with sulfur particles and activated sludge for sulfur autotrophic denitrification; effluent of the anoxic tank enters a secondary sedimentation tank for sedimentation, supernate is discharged, and bottom mud enters a hydrocyclone to be divided into heavy sludge and light sludge; the heavy sludge flows back to the front end of the anoxic tank, the light sludge flows back to the front end of the sectional aerobic tank, and the remaining sludge is discharged. According to the invention, sulfur autotrophic denitrification is deeply integrated into an activated sludge system, so that high-efficiency nitrogen removal without carbon source and internal reflux is realized.