6565 results about "Organic matter" patented technology

The invention discloses a farmland soil quality dynamic diagnosis method based on multi-source remote sensing collaborative inversion, and relates to the technical field of agricultural information, and the method comprises the steps: collecting physical and chemical parameters of soil temperature, humidity, pH value, organic matter content, nitrogen phosphorus and potassium concentration and the like in real time through a multi-source sensor network; removing abnormal values by using a data preprocessing algorithm, performing standardization processing, generating a standardized soil parameter set for subsequent climate and management factor correlation analysis, automatically generating a risk early warning signal, pushing the risk early warning signal to an agricultural management decision platform, and completing full-process analysis from data acquisition to decision support; the farmland soil quality dynamic diagnosis method based on multi-source remote sensing collaborative inversion can provide a scientific basis for agricultural management decision, effectively guide farmland management practice, and improve soil quality and agricultural production efficiency.

The invention provides a sewage treatment plant terminal effluent carbon source quality detection and evaluation method, which realizes full-flow dynamic evaluation and regulation of carbon source quality through on-line monitoring and intelligent algorithm fusion. According to the method, an online water quality full-spectrum detector is used for collecting original spectrum data flow, and after preprocessing such as variational mode decomposition denoising and mutual information feature selection, organic matter content quantification, variation trend analysis and anomaly detection are completed in combination with algorithms such as a support vector machine and an autoregressive moving average model. An entropy weight method is introduced to dynamically adjust the weight of the evaluation model, model parameters are optimized based on a gradient descent algorithm, a process adjustment instruction is generated through reinforcement learning and fuzzy logic, and an automatic system is linked to execute regulation and control. According to the method, the problems of hysteresis and singleness of traditional offline analysis are solved, multi-dimensional real-time evaluation, abnormal quick response and process dynamic optimization of the quality of the carbon source are realized, the sewage treatment efficiency and the effluent quality stability are improved, and a technical support is provided for continuous standard reaching of the quality of the carbon source.

The invention relates to the technical field of cross-modal data fusion analysis of soil component detection and improvement agent preparation, in particular to a preparation method of a soil improvement agent based on component detection, which comprises the following steps: acquiring soil component data through a near infrared spectrometer, a high performance liquid chromatograph and an inductively coupled plasma mass spectrometer; an incremental principal component analysis algorithm is combined with an oscillation suppression function to update a covariance matrix in real time, a dynamic defect factor priority list is generated, a multi-objective optimization model improved based on NSGA-II is guided to integrate the soil pH value, humidity and organic matter content to construct a dose response curved surface, and a Pareto optimal solution set is solved. A sensor array collects environment feedback data, drives a transfer learning algorithm to calibrate parameters, a dynamic incidence matrix attenuation rate and optimal weight adaptive adjustment, iteratively outputs a modifier synergistic effect solution set through a closed-loop control mechanism, and solves the problems of difficult data fusion, principal component weight offset and component synergistic deviation. And the proportioning accuracy and stability are improved.

The invention discloses a bio-organic fertilizer for repairing heavy metal cadmium in soil and a preparation method of the bio-organic fertilizer, and belongs to the technical field of organic fertilizers. The organic fertilizer is prepared from the following raw materials in parts by weight: 7-12 parts of a compound microbial agent, 30-40 parts of modified charcoal, 3-8 parts of sodium alginate, 6-8 parts of a chelating agent and 60-80 parts of decomposed edible fungus residues. The compound microbial agent is prepared from potassium-solubilizing paenibacillus mucilaginosus MSSW02, pseudomonas plecoglossicida and bacillus aryabhattai; the chelating agent is composed of calcium humate and nano-hydroxyapatite according to the mass ratio of 100: (3-5). The multi-component synergistic effect is achieved, the content of heavy metal in soil is effectively reduced, especially the content of heavy metal Cd, meanwhile, rich organic matter is contained, the physical and chemical properties of the soil can be remarkably improved, the water and fertilizer retention capacity of the soil is improved, and crop growth is promoted; the remediation effect on medium-light cadmium polluted farmland soil is good, and the growth promoting effect on crops is remarkable.

The invention provides a lake water chemical oxygen demand internal and external source pollution quantitative tracing method and system, and relates to the technical field of pollution quantitative tracing. The method comprises the following steps: performing three-dimensional fluorescence spectrum analysis on water samples at different point positions of a lake to obtain fluorescence excitation / emission matrix spectrum EEMS data; performing parallel factor analysis on the EEMS data, identifying and classifying the fluorescent components of the dissolved organic matter DOM, and determining the type characteristics of each component; based on the maximum fluorescence intensity and the corresponding COD value of the fluorescence component, establishing a standardized multiple linear regression equation by adopting ridge regression analysis, and calculating the contribution percentage of each fluorescence component to the COD of the lake water body; analyzing influence paths of potential variables on DOM migration and transformation, and quantifying direct contributions and indirect contributions of different pollution sources to each fluorescent component through path coefficients; and calculating the total contribution of lake-entering rivers, bottom mud release and phytoplankton to the COD of the lake water body.

The invention discloses a rapid culture method of aerobic granular sludge, and belongs to the technical field of sewage treatment. According to the invention, pharmaceutical factory sludge is used as a raw material to prepare pharmaceutical factory sludge biochar; an SBR reactor is constructed and operates in a water inlet-anoxic-aeration-precipitation-drainage mode, and pharmaceutical factory sludge biochar is added in the sludge inoculation process to promote rapid formation of system particles and stable operation. According to the method disclosed by the invention, the mature aerobic granular sludge with the capabilities of removing organic matters and synchronously denitrifying can be obtained by culturing for 30 days on average, so that the granulation process of the sludge is effectively improved, the forming time of the aerobic granular sludge is remarkably shortened, and the aerobic granular sludge has higher long-term operation stability.

The invention relates to the technical field of soil environment monitoring, and discloses a soil remediation construction site environment monitoring method based on edge computing cloud collaboration. The method comprises the following steps: deploying an edge computing node at a restoration construction site, and collecting real-time data of soil humidity, heavy metal concentration, volatile organic compound content and meteorological parameters through a multi-source sensor; inputting the data into a spatio-temporal feature extraction network, and generating a spatio-temporal fusion feature matrix by means of hierarchical convolution and a cross-channel attention mechanism; on the basis of the matrix, the index anomaly probability is calculated by using a depth probability network, and a risk feature sequence with uncertainty measurement is generated; constructing a dynamic risk field model in combination with repair process parameters, and predicting a pollution diffusion path through a space-time propagation algorithm; and in combination with an equipment operation state, an edge side local regulation and control instruction and a cloud global optimization strategy are generated by a collaborative decision engine, and efficient and accurate environment management requirements of a construction site are met.

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 relates to the technical field of soil conditioners, and particularly discloses an intelligent controlled-release core-shell alginate soil conditioner and a preparation method thereof.The conditioner is of a core-shell-layer three-layer structure and comprises a core layer, a middle shell layer and an outer layer, the three layers account for 30%, 40% and 30% of the total weight respectively, and the core layer mainly comprises improved alginate and nutrients; the middle shell layer mainly comprises chitosan and a microbial preparation; and the outer layer mainly comprises modified charcoal and magnetic nano # imgabs0 #. The preparation method comprises the four steps of core layer preparation, middle shell layer coating, outer layer coating and forming post-treatment, and multiple functions of accurate nutrient supply, efficient heavy metal fixation and soil microenvironment regulation and control are achieved through a core-shell-layer three-layer structure design and a pH / temperature / microorganism triple response mechanism by adopting a coaxial electronic injection and layer-by-layer self-assembly technology; the fertilizer has a remarkable improvement effect on sandy soil and saline-alkali soil, and the organic matter increasing rate reaches 40%.

The invention belongs to the technical field of wastewater denitrification treatment, and particularly relates to an anaerobic ammonia oxidation reaction-based integrated partitioned denitrification method which comprises the following steps: S1, removing high-concentration organic matters and suspended matters in wastewater through coagulating sedimentation or chemical oxidation pretreatment to avoid inhibition on subsequent Anammox; s2, partitioning the integrated reactor, and setting a short-cut nitrification region and an Anammox reaction region; s3, enabling the effluent part of the Anammox reaction zone to flow back to the short-cut nitrification zone, supplementing nitrite and balancing the carbon nitrogen ratio; the Anammox granular sludge flows back to the reaction zone through the settling zone, and the biomass concentration and the reaction efficiency are maintained; s4, a secondary sedimentation tank or a built-in sedimentation zone is arranged to achieve mud-water separation, residual sludge is discharged, and it is guaranteed that effluent reaches the standard, and it is guaranteed that the denitrification efficiency is stable by dynamically adjusting dissolved oxygen of the short-cut nitrification zone and the pH value of the Anammox reaction zone.

The invention belongs to the technical field of organic matter preparation, and discloses an amide-containing isoxazoline derivative as well as a preparation method and application thereof. According to the invention, chemical modification and molecular design are carried out on the compound with an isoxazoline structure, and a substituent group is introduced to N of an amide group, so that a series of efficient compounds which can be used for killing insects or mites in agriculture or forestry and have excellent activity are obtained, and particularly, the compounds have very good biological activity on lepidoptera, hemiptera and other pests. When being used at an extremely low concentration, the compound disclosed by the invention also shows an excellent control effect on various pests or pest mites, has insecticidal or acaricidal activity in each stage (such as eggs, larvae (nymphs), pupae and adults) of the life cycle of the pests or pest mites, and has an excellent control effect on the pests or pest mites which have drug resistance to traditional insecticides or acaricides. And the composition also shows excellent control activity.

The invention relates to the technical field of analysis of physical and chemical properties of soil, in particular to a dry farming soil fertility rapid detection and fertility improvement method, which comprises the following steps: sorting a colloidal phase and a dissolved phase of a humic acid complex based on density difference and dielectric property difference through a gradient centrifugation and dielectrophoresis enriched physical field synergistic separation technology; a two-channel detection time sequence is optimized by adopting a genetic algorithm, a non-overlapping time sequence signal flow is generated by taking a signal interference suppression ratio as a fitness function, and time domain cross interference is suppressed. A programmable resistance-capacitance compensation model is constructed, parallel capacitor array parameters are dynamically adjusted to correct electrochemical phase angle offset, and a three-dimensional fertility distribution curved surface and a residual map are generated in combination with a Kriging interpolation model. On the basis of residual spectrum spatial distribution characteristics, a cross-linked slow-release system is deployed to improve the organic matter binding capacity of a humic acid deficiency area, a mesoporous zeolite-based passivator is applied to regulate and control an ion migration path, a closed-loop feedback mechanism is formed through dynamic phase response monitoring, and accurate detection and directional remediation of soil fertility are achieved.

The invention discloses an intelligent continuous pretreatment process for herbicide pesticide wastewater, relates to the technical field of pesticide wastewater pretreatment, and aims to solve the problem of poor removal effect of pesticide residues in wastewater. According to the method, Fenton oxidation, photocatalysis and other processes are accurately selected for different pollutants such as chlorinated organic compounds and triazines, the degradation pertinence is greatly improved, the pollutant removal rate is remarkably increased, all links are seamlessly connected, a pretreatment-deep purification closed loop is formed, the adaptability to complex pesticide wastewater is improved by 40% compared with a single process, and the method is suitable for industrial production. By combining the design of sludge combined treatment, gravity flow sludge discharge and the like, the energy consumption and the operation and maintenance cost are remarkably saved, a multi-stage monitoring and parameter dynamic adjustment mechanism is adopted, the reaction conditions can be timely corrected, the blind feeding of chemicals is reduced, the treatment effect is ensured, the waste of consumables is reduced, and the economic benefit is increased. Compared with the traditional process, the medicament consumption is reduced by more than 30%.

The invention discloses a heavy metal infiltration risk prediction method for reclaimed water irrigation mining and metallurgy area greenbelt soil, which comprises the following steps: detecting the contents of heavy metals and salt ions in mining and metallurgy area reclaimed water and greenbelt soil, and detecting the physicochemical properties and hydraulic parameters of the soil; carrying out experimental simulation on the basis of detection data to obtain heavy metal form distribution and chemical equilibrium parameters of each phase of soil, then constructing a soil mineral phase-organic matter heavy metal adsorption kinetic model, constructing a soil solid phase equilibrium adsorption capacity calculation model, and further constructing a reclaimed water driven heavy metal geochemical migration process model; the heavy metal content of the mining and metallurgy area soil serves as an initial input item of the migration process model, and the heavy metal infiltration flux of the mining and metallurgy area greenbelt soil in the target prediction time is predicted in a rolling mode according to the heavy metal concentration of the recycled water; and calculating the heavy metal pollution index according to the predicted heavy metal infiltration flux. The method can quickly, accurately and economically evaluate the heavy metal infiltration risk of the reclaimed water irrigated green land soil.

The invention provides a cultivated land quality monitoring system based on cultivated land protection. The cultivated land quality monitoring system comprises a multi-source sensing module, a heterogeneous transmission module, a space-time database module, a quality degradation prediction module, a dynamic early warning module, a repair decision module and a quality traceability block chain module. The multi-source sensing module collects data such as soil pH value, organic matter content, heavy metal concentration, crop canopy temperature and vegetation index; the heterogeneous transmission module carries out encryption packaging and format standardization on the data; the space-time database module stores the processed data and space-time associated information; the quality degradation prediction module generates multi-dimensional monitoring data and predicts a degradation risk; the dynamic early warning module generates a multi-stage early warning signal according to the risk value; the restoration decision module outputs soil improvement engineering technical parameters and ecological compensation schemes; and the quality traceability block chain module realizes data verifiable evidence storage. The intelligent level of cultivated land protection can be improved, and comprehensive technical support is provided for sustainable utilization of cultivated land quality.

The invention discloses a nuclear magnetic T2 spectrum correction method for a shale reservoir, and relates to the field of object detection, and the nuclear magnetic T2 spectrum correction method for the shale reservoir comprises the following steps: 1, determining the gas logging porosity, saturated water porosity and main mineral components of the shale reservoir; compared with the prior art, the method disclosed by the invention has the beneficial effects that a drying-saturated water-centrifugal two-dimensional nuclear magnetic resonance experiment is carried out, and signals of crystal water, clay bound water and hydroxyl in a sample are preliminarily identified; through inversion of organic matter signals in the dry sample, signals of movable water are further determined; the relation between the difference value among the gas logging porosity, the saturated water porosity and the nuclear magnetic porosity and different mineral contents is discussed, and particularly the remarkable influence of iron-containing minerals on the porosity difference value is discussed; by eliminating the influence of diffusion relaxation caused by the magnetic susceptibility difference, the T2 spectrum correction method based on the mineral magnetic susceptibility is established, and the T2 spectrum accuracy obtained through nuclear magnetic resonance measurement is improved.

The invention discloses a method for preparing a supercapacitor electrode through high-temperature alkali activation. The method comprises the steps of preparing porous carbon, preparing an electrode plate, preparing a supercapacitor, and carrying out electrochemical performance testing and material characterization testing. When the carbon precursor of the supercapacitor electrode material is prepared, organic components in walnut shells can be refined and removed and biochar is left by utilizing the effect of removing organic matters in biomass at high temperature of a tubular furnace; the potassium hydroxide with different concentrations is used as the activating agent to activate the biochar, the porosity and the internal structure richness of the porous carbon can be greatly improved, and compared with traditional solid alkali activation, the aqueous solution alkali activation has the advantages that the reliability and the possibility are improved, and the contact area of the activating agent and substances is increased. The electrode material prepared by the method has the advantages of low manufacturing cost, small environmental pollution and excellent service life, and is an ideal electrode material.

The invention relates to the technical field of state monitoring, and discloses a hydrogen peroxide purification process state monitoring method. The method comprises the following steps: performing multi-point real-time monitoring and hydrogen peroxide decomposition risk target factor calculation on the temperature, pressure, conductivity and organic matter content of hydrogen peroxide purification equipment to obtain an evaluation result of the influence of temperature gradient and impurity content on hydrogen peroxide stability; carrying out predictive control parameter calculation on the heating power, the cooling flow and the feeding rate to obtain a safe operation parameter range of the equipment; and performing dynamic safety boundary calculation on the temperature distribution and the concentration boundary in the purification process to obtain a hydrogen peroxide decomposition risk early warning index. Through construction of the dynamic safety boundary and calculation of the risk early warning index, stable operation of the hydrogen peroxide purification equipment is realized, so that the production process of the electronic-grade high-purity hydrogen peroxide is safer, more stable and more efficient.

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 discloses a lead-zinc mine ecological restoration method driven by combination of pennisetum purpureum and soil microorganisms. After soil in a to-be-repaired area of a mine is loosened and conditioned, pennisetum purpureum is planted, different microorganisms A and microorganisms B are introduced before and after the pennisetum purpureum is planted respectively, the microorganisms A are composed of metal reducing bacteria and sulfate reducing bacteria, the microorganisms B are composed of heavy metal tolerant microorganisms and symbiotic nitrogen-fixing bacteria, and the heavy metal tolerant microorganisms and the symbiotic nitrogen-fixing bacteria can be obtained through the method that the different microorganisms are introduced in sequence. Heavy metals in the mine soil are transformed and absorbed for multiple times, and ecological restoration of the mine is realized. Through the combined action of microorganisms and plants, accumulation of organic matter in soil can be promoted, the diversity and activity of soil microbial communities can be restored, finally, restoration of a soil ecological system is achieved, in the restoration process, the root system of the pennisetum purpureum can assist in enhancing the structure and permeability of the soil through symbiosis with the microorganisms, and the soil quality is improved. And a foundation is laid for future ecological restoration.

The invention provides a method and system for salt separation, evaporation and crystallization of printing and dyeing wastewater, and the method comprises the following steps: sequentially carrying out multi-stage synergistic pretreatment on textile printing and dyeing wastewater to remove suspended solids, degrade organic matters and reduce hardness; the pretreated wastewater is subjected to membrane salt separation treatment, and preliminary separation of salt is achieved through reverse osmosis pre-concentration and nanofiltration salt separation; and respectively carrying out evaporative crystallization treatment on the separated high-concentration salt solution to obtain high-purity sodium sulfate and sodium chloride products. According to the method, the salt recovery rate and the product purity are remarkably improved, the energy consumption and the operation cost are reduced, meanwhile, the problems that in traditional printing and dyeing wastewater treatment, salt is difficult to separate, and the crystallization purity is low are solved, and an innovative solution is provided for high-valued resource recovery of industrial wastewater.

The invention relates to an organic matter near infrared spectrum inversion method and device for removing moisture based on radiation. The method comprises the steps that after a soil sample is pretreated, multiple moisture content gradients are regulated and controlled, the natural moisture permeation state is simulated, visible light-near infrared spectrum data and the organic matter content are collected, and a soil spectrum library is constructed; quantifying the interference weight of moisture on the spectrum by using a physical radiation transmission model to obtain a preliminary correction spectrum; moisture and organic matter features are extracted through a deep learning multi-branch architecture, a moisture characterization index is constructed, cross-domain feature alignment is realized in combination with a domain adversarial network, and an accurate correction spectrum is obtained; all the modules are integrated to construct a soil moisture elimination reconstruction spectrum model, after layered verification and iterative optimization, a to-be-detected soil spectrum is input into the model, organic matter content near infrared spectrum inversion is completed, and a result is output. According to the method, moisture interference is removed through combination of physical radiation and deep learning, the inversion precision is improved, and the method is suitable for rapid detection of organic matters in various moisture-containing soil.

The invention discloses a self-cleaning photovoltaic super-hydrophobic coating based on a nano-porous structure and a preparation method of the self-cleaning photovoltaic super-hydrophobic coating, and belongs to the technical field of photovoltaic panel coatings. The coating comprises the following components in percentage by mass: 15-25% of nano porous silicon dioxide particles, 5-10% of a low surface energy modifier, 3-8% of photocatalytic nano titanium dioxide, 30-40% of organic silicon resin and the balance of deionized water. The coating has super-hydrophobicity, photocatalytic decomposition of organic matters and wear resistance, can solve the problems of photovoltaic panel dust accumulation, bird droppings, organic matter pollution and the like, and improves the power generation efficiency of a photovoltaic system.

The invention relates to the technical field of organic fertilizer preparation and waste recycling, in particular to a food industrial park wastewater recycling and sludge resourceful treatment method which comprises the following steps: step 1, dynamically partitioning wastewater and cooperatively separating grease, monitoring the conductivity and turbidity of wastewater at water outlets of all workshops in real time, and dynamically dividing wastewater load grades according to monitored values; step 2, coupling biological treatment and carbon source circulation, inputting the effluent in the step 1 into an anaerobic reactor according to a real-time COD load ratio, adding a sludge glycolysis solution as a carbon source supplement, and dynamically adjusting the adding amount based on the ratio of volatile fatty acid to alkalinity; step 3, catalytic oxidation-membrane coupling advanced treatment: carrying out catalytic ozonation on aerobic effluent through sludge-based activated carbon, and adjusting the filling amount of a catalyst in a stepped manner along with characteristic parameters of organic matters in the effluent; 4, directional glycolysis of the sludge and closed-loop utilization of products. Through monitoring and dynamic adjustment, the problems of high energy consumption, low treatment efficiency, resource waste and the like in a traditional wastewater treatment method are effectively solved.

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 relates to the technical field of sewage treatment, and discloses an integrated sewage treatment method based on intelligent sensing. According to the method, sewage flow, PH value, temperature, turbidity and suspended matter concentration are collected in real time through an intelligent sensor, in each treatment link, the intelligent sensor can monitor the concentration of organic matter, nitrogen, phosphorus and other pollutants, the pollutant removal rate and the biological reaction rate are calculated, timely adjustment of a sewage treatment strategy is achieved, and the sewage treatment efficiency is improved. Through real-time monitoring of dissolved oxygen, temperature and mixed liquid reflux ratio in the bioreactor, reaction conditions are optimized, biodegradation efficiency and sludge yield are improved, and through monitoring of the dosage and reaction time in the reaction process, the dosage adding proportion is optimized, so that the removal effect of chemical reaction is improved; finally, the flow, the PH value, the chemical oxygen demand and the biological oxygen demand of the treated effluent are comprehensively monitored, so that the sewage treatment efficiency and reliability are remarkably improved.

The utility model discloses a water treatment device adopting an ozone micro-nano bubble coupling electrochemical oxidation process. The water treatment device comprises an ozone generating device, a micro-nano bubble generating device, a BDD (Boron Drain Discharge) electrode unit and an air flotation filter tank device, the device has the following beneficial effects: (1) the Venturi jet device is adopted to release ozone micro-nano bubbles, so that wastewater and the micro-nano bubbles are fully stirred and mixed and are fully contacted with the BDD electrode for oxidative degradation, and the impact force formed by jet flow can wash the BDD electrode plate, so that the BDD electrode plate is prevented from being easily blocked; (2) an ozone micro-nano bubble technology and a BDD electrode technology are coupled to generate a synergistic effect, a large number of hydroxyl radicals are generated, the oxidation capacity is enhanced, the organic matter removal capacity is improved, and the sterilization, decoloration and deodorization capacities of the device on raw water are enhanced. And (3) the BDD is combined with an air flotation process, so that the occupied area is reduced, and the layout is optimized. And (4) fine particles in the water body are further removed by the air floatation superposition filter tank, and the concentration of suspended particulate matters is reduced.

The invention relates to the technical field of air purification, and discloses an air purification adsorption device for a photogravure press, the air purification adsorption device comprises a waste gas treatment tank, the bottom end of the waste gas treatment tank is rotatably connected with a main shaft, and the circumferential surface of the main shaft is fixedly connected with an activated carbon filter plate; an inorganic filtering device for filtering inorganic particles is arranged in the waste gas treatment tank, and an organic desorption device for heating, desorbing and recycling organic matters is arranged on the outer side of the waste gas treatment tank. The activated carbon filter plate rotates to increase the contact area with the desorption agent, so that the desorption effect is improved, the desorption agent in the scattering cavity is intermittently scattered, the situation that the desorption agent cannot be uniformly and comprehensively scattered on the activated carbon filter plate due to the fact that the desorption agent is quickly scattered is prevented, and the desorption efficiency is improved after the activated carbon filter plate is in uniform contact with the desorption agent.

The invention relates to a real-time monitoring method for soil remediation by utilizing multi-spectrum of an unmanned aerial vehicle and sensing coupling of the Internet of Things, and belongs to the technical field of soil environment monitoring and remediation. The method comprises the following steps: constructing a space grid model of a monitoring area; a space-air-ground integrated monitoring network is arranged, image data are obtained through multi-spectral remote sensing of an unmanned aerial vehicle, and soil environment parameters are collected through a ground Internet of Things sensor; preprocessing and fusing the multi-source spatio-temporal data, and establishing a spatio-temporal matching model; constructing an inversion model of the soil heavy metal content, the organic matter content and the pollutant degradation degree based on the fusion data; and the repair efficiency is dynamically calculated and visualized, and real-time evaluation and early warning of the repair process are realized. According to the invention, space-air-ground data collaboration is realized, the real-time performance, accuracy and space coverage of monitoring are remarkably improved, the defects of high cost, low efficiency and limited data dimension of a traditional method are overcome, and whole-process and intelligent decision support is provided for soil remediation.

The invention relates to the technical field of land treatment, in particular to an organic fertilizer for improving the soil fertility of a sand land. Comprising the following raw materials in parts by weight: 3-12 parts of a microbial agent, 20-50 parts of volcanic rock, 5-12 parts of an additive, 32-45 parts of sodium bentonite, 12-18 parts of a functional agent, 5-25 parts of a modifier and 15-32 parts of a water retention material. By increasing organic matters in the soil, the viscosity of the soil is improved, the air permeability, water retention and permeability of the soil are improved, the formation of a soil aggregate structure is promoted, and the water and fertilizer retention capability of the sand soil is improved.