214 results about "Metal pollution" patented technology

The invention discloses a water quality heavy metal pollution detection method and system based on Raman spectrum.The water quality heavy metal pollution detection method comprises the steps that water body Raman scattering light is collected in situ through a miniature optical fiber probe, and a continuous time sequence spectrum signal flow is generated; wavelet transform is combined with self-adaptive threshold setting, and high-frequency noise and effective spectral signals are separated; dynamically strengthening the characteristic peak of the target heavy metal through a frequency domain characteristic screening module, and inhibiting a water molecule interference peak at the same time; generating a cross-domain fusion feature vector; processing the fusion feature vector through a pre-trained heavy metal concentration prediction model, and outputting concentration prediction values of various heavy metals; a confidence score is dynamically calculated based on a deviation between a current predicted value and historical data distribution, and model parameter update and system calibration are automatically triggered. The method has the advantages that through acousto-optic signal cross-domain fusion and closed-loop self-calibration, the target peak is dynamically strengthened while water molecule interference is inhibited, and the real-time performance, the anti-interference performance and the prediction precision of heavy metal detection are improved.

The invention provides a food heavy metal pollution detection system based on plasma emission spectrum analysis, and aims to realize rapid and accurate detection of heavy metal elements in a food sample. The system comprises a sample processing module, an excitation module, a spectrum detection module, a signal processing module, a data analysis module and an output module. The sample processing module converts a food sample into an aerosol or steam state. The spectrum detection module is used for extracting spectrum characteristic information of heavy metal elements. And the signal processing module adopts an AI-driven spectrum denoising algorithm to remove background noise and interference signals. And the data analysis module calculates the concentration of each element based on the characteristic peak intensity and generates heavy metal pollution data. And the output module is used for visually displaying the detection result. According to the method, complex sample pretreatment steps are reduced, the detection efficiency and sensitivity are improved, and the method is suitable for food safety detection scenes and particularly has remarkable advantages in field rapid detection application of agricultural products, drinking water and processed food.

The present application relates to the technical field of heavy-metal pollution remediation, and relates in particular to a soil heavy‐metal accumulation predicting method employing an emission inventory and a receptor model. The method comprises: using atmospheric dust deposition, irrigation water, chemical fertilizers and pesticides as input flux sources of heavy metals to farmland soil, using surface runoff and crops as output fluxes, and constructing an input-output flux inventory of heavy-metal pollutants to clarify a dynamic balance relationship of soil heavy-metal accumulation; and continuously collecting and monitoring of soil samples. The invention provides crucial assistance in determining the transport balance of heavy metals in farmland areas impacted by non-ferrous metal smelting and beneficiation slag sites and in identifying sources of soil heavy-metal pollution, and offers theoretical guidance for subsequent soil heavy-metal remediation and targeted control.

The invention relates to the technical field of mathematical modeling, in particular to a mathematical model modeling method based on data analysis operation processing. The method comprises the following steps: collecting metal pollution data of a target water area by using a multi-parameter water quality sensor array; performing time sequence alignment on the metal pollution data to generate a standardized pollution data set; constructing a metal migration model based on fluid dynamics and chemical adsorption coupling; inputting the standardized pollution data set into the metal migration model for three-dimensional space interpolation calculation, and generating a metal pollutant diffusion cloud picture; pollution source reverse analysis is carried out on the metal pollutant diffusion cloud picture, and a potential pollution source coordinate set and pollution contribution degree sorting are generated. According to the method, by integrating multi-parameter water quality sensor data, fluid dynamics and chemical models and multispectral analysis, the modeling precision of the water pollution diffusion mathematical model is improved.

The invention discloses an unconventional feed quality assessment method and system, and relates to the technical field of unconventional feed quality assessment, and the method comprises the following steps: in a feed high-temperature drying treatment process, establishing a multi-dimensional sensing monitoring baseline, continuously obtaining mercury vapor concentration gradient, moisture evaporation rate and airflow velocity field data in a feed drying environment, and calculating the quality of the feed; forming a time sequence feature set reflecting the dynamic change of mercury vaporization; and constructing a gas-solid interaction analytical model by using the time sequence feature set, and carrying out coupling analysis on the mercury vapor migration trajectory and the temperature distribution and humidity distribution of the feed particle surface to generate a spatial distribution data set representing the spatial distribution feature of the mercury vapor redeposition region. According to the invention, the whole-process monitoring and dynamic regulation and control of mercury vaporization, migration and redeposition in the feed drying process are realized, through multi-dimensional monitoring, amplitude limiting control and high-frequency disturbance, the mercury distribution is balanced, the risk is reduced, the drying safety and the feed quality stability are improved, and the controllable management of heavy metal pollution is effectively realized.

The invention discloses a numerical prediction method and system for heavy metal pollution load evolution in a drainage basin, and belongs to the technical field of drainage basin heavy metal pollution prevention. According to an existing drainage basin pollution prediction scheme, the influence of heavy metal pollution leaching from soil due to rainfall and the influence of atmospheric heavy metal pollution sedimentation are not considered, so that the conversion and transportation processes of heavy metal pollution cannot be accurately simulated. According to the numerical prediction method for heavy metal pollution load evolution in the drainage basin, heavy metal multi-dimensional evolution data is obtained by constructing a heavy metal parameter analysis model, a heavy metal three-dimensional evolution model and a heavy metal coupling prediction model; then the heavy metal multi-dimensional evolution data, weather data and hydrological calculation data are subjected to coupling calculation to obtain an accurate heavy metal pollution prediction value, so that the evolution process of heavy metal pollution between water, land and air can be accurately simulated; and the development trend of the heavy metal pollution load in the drainage basin can be tracked and predicted more comprehensively.

The invention relates to the technical field of soil cadmium remediation, in particular to a soil Cd recognition and remediation method based on mulberry root exudates and microorganisms. According to the method, spatial microscopic image frames of rhizosphere microflora are divided through a community structure, community node increment updating calculation of adjacent time sequences is executed, the transition recombination frequency of the rhizosphere microflora is obtained, and the transition color of the actual concentration content of root exudates is rendered based on a metal pollution level system and the transition recombination frequency. Generating a stress level heat model of the soil cadmium gradient in the target restoration area; and according to the stress level popularity model, carrying out popularity color analysis and identification on the soil cadmium pollution of the target restoration area, and generating a global stress identification result of the soil cadmium. According to the method, rapid identification of cadmium pollution enrichment can be realized by utilizing the synergistic response between mulberry root exudates and rhizosphere microorganisms, and a repair regulation and control plan is made, so that the cadmium pollution degree is reduced, the soil structure and fertility are optimized, and a safer and healthier environment is provided for plant growth.

The invention provides a chitosan-iron nanoparticle leaf surface resistance and control agent as well as a preparation method and application thereof, and belongs to the technical field of reduction of heavy metal pollution of crops. The preparation method comprises the following steps: dissolving chitosan in an organic solvent to obtain a chitosan solution, mixing the chitosan solution with ferrous sulfate, adding a sodium tripolyphosphate solution for crosslinking and stirring to obtain a solution containing precipitates, centrifuging, and collecting the precipitates to obtain the chitosan / ferrous sulfate composite material. The TPP and amino groups of the chitosan form ionic crosslinking through triphosphate groups, and Fe < 2 + > is successfully loaded on the surfaces of the chitosan nanoparticles. By complexing chitosan and Fe < 2 + >, the crystallinity of the material is reduced, and the adsorption activity of the amorphous structure is enhanced. Pot experiments show that by spraying the chitosan-iron nanoparticle leaf surface resistance and control agent on leaf surfaces, heavy metals of crops can be remarkably reduced, the antioxidant enzyme activity of plant tissues is improved, active oxygen is effectively removed, oxidative damage is relieved, and therefore plant growth is promoted, and the toxic effect of heavy metal stress on the crops is relieved.

The invention relates to the technical field of heavy metal pollution treatment, and particularly discloses a biochar material and method for adsorbing heavy metals in wormcast. The biochar material for adsorbing the heavy metals in the wormcast adopts waste green tea residues as a raw material, and after being soaked in a phosphoric acid solution with the mass concentration of 38-42%, the biochar material is subjected to heat treatment at the temperature of 540-560 DEG C to obtain P-BC powder. The P-BC powder is soaked in a metal salt solution with the total metal ion concentration being 0.8-1.2 mol / L, and under the action of a precipitator, the LDH-coated P-BC material is obtained. The LDH-coated P-BC material is mixed with a ferric chloride hexahydrate solution and a NaBH4 aqueous solution for reaction to obtain the biochar material for adsorbing the heavy metals in the wormcast, so that the fixing and stabilizing effects of the biochar material on the heavy metals in the wormcast are improved.

The invention provides a water environment heavy metal pollution measuring method based on electrochemical analysis. The method comprises the following steps: constructing a linear coefficient comparison set and a constant term comparison set of peak current and concentration of heavy metal ions on a certain stripping volt-ampere peak potential by aiming at different samples in a water environment detected sample set of a certain heavy metal; and then, by constructing a water environment similar sample set of the to-be-measured sample for heavy metal pollution measurement, the measurement concentration of the to-be-measured sample about the heavy metal ions is given. According to the technical scheme provided by the invention, the to-be-detected water environment sample is matched according to the data of a certain heavy metal ion of the detected water environment sample in the past, so that the adaptability of rapidly detecting the heavy metal ions of different water environment samples through the electrochemical detection device is enhanced.

The invention discloses an assessment system for children liver damage caused by atmospheric heavy metal pollution, relates to the technical field of environmental health management, and aims to solve the technical problems that risk assessment is distorted and early warning of liver damage risks cannot be supported due to single-dimensional estimation of an existing assessment system. The data acquisition module is used for acquiring child activity track data, atmospheric heavy metal concentration data, child dynamic physiological parameter data, ground medium heavy metal data and child growth and development stage information; the data processing layer is used for preprocessing the data acquired by the data acquisition layer, the preprocessing comprises privacy desensitization processing, multi-source data format unification and abnormal value intelligent elimination, and the privacy desensitization processing adopts a mode of original data local retention and feature parameter cloud transmission. The method has the advantages of realizing three-dimensional accurate quantification of the children atmosphere heavy metal pollution liver injury risk, generating personalized intervention suggestions and forming an optimized closed loop.

The invention relates to the technical field of particulate matter source analysis, and discloses a refined source analysis method and system.The method comprises the steps that a plurality of pollution sources and dust falling particulate matter sampling points are determined according to soil pollution distribution of a target area and an atmospheric pollution source survey result, by collecting single particle mass spectrum data of pollution sources, sampling points and receptors, constructing a mass spectrum library and combining an ART-2a algorithm and a deep learning model, the heavy metal pollution contribution proportion is accurately analyzed and traced to specific discharge ports of enterprises, and the problem that specific pollution enterprises and working sections cannot be positioned in the prior art is solved. According to the method, a pollution source and an environment receptor are sampled and analyzed by utilizing a single-particle mass spectrometry technology aiming at atmospheric dust fall particles in soil, and the heavy metal in the atmospheric dust fall particles in the soil is finely traced to specific enterprises and working sections by analyzing the heavy metal, so that a fine technical support is provided for soil heavy metal pollution management and control.

The invention discloses a soil heavy metal pollution detection and remediation hardware system based on isotopic tracing, which relates to the technical field of soil and comprises an isotopic tracing module, a heavy metal detection module, a remediation execution module, a real-time monitoring module, an intelligent regulation and control module and a data storage and transmission module, the data storage and transmission module is connected with the isotope tracing module, the heavy metal detection module, the repair execution module, the real-time monitoring module and the intelligent regulation and control module, and transmits data to a remote monitoring center in a wired or wireless communication mode, so that further data analysis and remote control are carried out; through multi-source data fusion and intelligent algorithm optimization, precise positioning, dynamic monitoring and efficient repairing of heavy metal pollution are achieved, the isotope tracing technology can position a pollution source and predict a diffusion path, and the plant and microorganism synergistic repairing efficiency is improved; the system is suitable for industrial pollution sites, farmlands and other scenes, and has remarkable environmental and economic benefits.

The invention provides a heavy metal contaminated soil remediation material, and belongs to the technical field of soil remediation. According to the method, the silicon-magnesium modified sunflower straw biochar and the organic fertilizer (chicken manure) are used for synergistically repairing the chromium and lead heavy metal contaminated soil, the adsorption performance of the modified biochar and the biological absorption effect of the organic fertilizer are used for jointly reducing the absorption of spinach to the heavy metal chromium and lead, meanwhile, the physical and chemical properties of the soil are improved, and the nutrient activity of the soil is remarkably improved. Results show that the effective cation exchange capacity, organic matters and available phosphorus of the soil are improved by synergistic remediation of the modified biochar and the organic fertilizer, the pH value of the soil is reduced (averagely reduced by 0.48), the combined application effect of the modified biochar and the organic fertilizer is more obvious, and the absorption of chromium and lead by the spinach is averagely reduced by 26.04% and 18.22% respectively. The invention provides an effective and practical way for reducing the composite toxicity of plants to various metals such as chromium, lead and the like.

The invention relates to the technical field of pollution risk assessment, and provides an AI-based karst region soil-underground water cooperative pollution assessment system. According to the system, multi-source soil and underground water heavy metal time sequence monitoring data are fused, cross-medium collaborative characterization characteristics are constructed, an enhanced time sequence modeling method with a parameter efficient adaptation capability is introduced, and a composite dynamic loss function oriented to non-stationary pollution evolution characteristics is designed; and collaborative prediction and uncertainty description of the heavy metal pollution states of the soil and the underground water are realized. Furthermore, a prediction result is combined with spatial gridding analysis, a collaborative pollution risk index and a risk zoning result are constructed, technical conversion from pollution evolution modeling to spatial risk assessment and early warning output is realized, and reliable technical support is provided for dynamic early warning, graded prevention and control and environment management decision of heavy metal pollution in the karst region.

The utility model discloses a composite core mold which comprises a lining layer, a metal reinforcing layer and an outer covering layer which are sequentially connected from inside to outside, the axial length of the metal reinforcing layer is smaller than the axial length of the lining layer and the axial length of the outer covering layer, sealing layers are arranged on the two axial end faces of the metal reinforcing layer respectively, and the inner surfaces of the sealing layers are connected with the outer surface of the lining layer. The outer surface of the sealing layer is connected with the inner surface of the outer covering layer, and the metal reinforcing layer continuously stretches across the heavy load bearing area. The metal reinforcing layer with low cost and high bending modulus is additionally arranged between the two fiber layers, so that compared with a traditional pure fiber core mold, the core mold has the advantages that the bending modulus is higher, the cost is low, the bearing limit is larger, the weight is lighter under the condition of the same bearing performance, and the core mold is easier to transport; meanwhile, the sealing layer is arranged to prevent dissimilar metal pollution, and the winding quality of foil products is guaranteed; by ensuring the roundness of the metal reinforcing layer, the processing efficiency of the outer covering layer is improved, and the process difficulty is reduced.

The invention relates to the technical field of environmental science and engineering, and discloses a water body sediment heavy metal pollution diagnosis and risk zoning method, which comprises the following steps of: firstly, performing functional zoning and differentiated point distribution sampling based on hydrodynamic topographic features; secondly, carrying out multi-dimensional index detection on the sediment sample to obtain a multi-dimensional data set containing a chemical occurrence form; secondly, combining a positive definite matrix factorization model with bivariate local space autocorrelation analysis, quantitatively analyzing the contribution of the pollution source and verifying the space fate of the pollution source; then, constructing a two-dimensional risk assessment system based on the chemical occurrence form, and calculating a migration release risk index and a bio-availability risk index; and finally, according to source-sink positioning and risk assessment results, a differentiated partition control strategy is generated. According to the invention, through coupling chemical morphology and spatial analysis, the concealment risk that the total amount does not exceed the standard but the bioavailability is high can be accurately identified, and accurate positioning and migration path verification of the composite pollution source are realized.

The invention discloses a method for reducing metal pollution and improving white pixels of an image sensor, and the method at least comprises the steps: providing an ion implanter which comprises a reaction chamber and an ion source reaction chamber; a substrate is provided, the substrate comprises a pixel area, and the substrate is arranged in the reaction chamber; introducing doped gas and diluent gas into the ion source reaction cavity, wherein the doped gas and the diluent gas are dissociated into ions in the ion source reaction cavity; the flow of the diluent gas is greater than that of the doped gas; injecting the ions into the pixel region of the substrate through an ion injection process; wherein the doping gas is halogen-containing gas, and the diluent gas at least comprises inert gas. According to the method, metal pollution can be reduced, and white pixels of the image sensor are reduced.

The invention provides a method for preparing a biological fermentation heavy metal contaminated soil remediation agent by utilizing ardealite and printing and dyeing sludge, and belongs to the technical field of solid waste recycling. The method comprises the following steps: mixing printing and dyeing sludge, ironmaking solid waste and ardealite, uniformly stirring, granulating, carrying out aging treatment, carrying out high-temperature pyrolysis, and grinding to obtain phosphorus printing carbonized powder; mixing the cordyceps sobolifera mycelium extract, the pandanus elliottii leaf extract and the red velvet extract, and uniformly stirring to obtain an extraction mixture; beta-nicotinamide mononucleotide and galactomannan are mixed and stirred uniformly, and a probiotic agent is obtained; mixing a probiotic agent, the extraction mixture and food powder, and uniformly stirring to obtain enlightening mixed powder; and mixing the heuristic mixed powder with the phosphorus-printed carbonized powder, uniformly stirring, and adding primary rhizosphere compound bacteria for fermentation, thereby obtaining the biological film covering heavy metal contaminated soil remediation agent after fermentation is finished. The efficient utilization of the phosphogypsum and the printing and dyeing sludge is realized through reasonable proportioning, pyrolysis carbonization and primary rhizosphere compound bacteria synergistic fermentation.

The invention belongs to the technical field of sewage heavy metal monitoring, and particularly relates to a sewage heavy metal concentration dynamic monitoring method and sensor based on image gray scale, and the monitoring method comprises the following steps: (1) establishing a database and a standard curve of image gray value and heavy metal concentration; (2) shooting a sewage sample image, synchronously collecting a standard color card during shooting, obtaining a sample-color card composite image, carrying out image recognition, and obtaining a sewage sample image gray value dynamically calibrated by the color card; and (3) substituting the image gray value into a standard curve of the image gray value and the heavy metal concentration or a database, and calculating the heavy metal concentration in the sewage. According to the invention, the cost is low, the heavy metal can be rapidly and dynamically monitored on line in real time by utilizing the image gray difference under different heavy metal concentrations and adopting machine vision correction, and the heavy metal pollution phenomenon can be found in time.

The invention provides a heavy metal contaminated soil remediation effect evaluation method and system.The method comprises the steps that firstly, the heavy metal effective state content, microbial index data, plant index data and heavy metal ion migration data of a monitoring area are collected; calculating a repair efficiency index by using the first three types of data, exciting a nano-catalyst by microwave energy to generate active oxygen to catalyze the form transformation of the heavy metal, and recording temperature rise curve data in the reaction process; calculating a current density value of each monitoring point based on the ion migration data and generating a spatial distribution diagram; and fusing the remediation efficiency index, the temperature rise curve and the current density distribution data, inputting the fused data into a convolutional neural network, and finally outputting a soil remediation effect grade evaluation result and a spatial difference analysis result. According to the method, the accuracy and comprehensiveness of heavy metal contaminated soil remediation effect evaluation are improved.

The invention discloses a method for repairing heavy metal contaminated soil through plants and recycling the heavy metal contaminated soil. According to the method, a proper amount of iron-containing fertilizer is applied while phytoremediation is conducted, iron nutrients are provided for plants, and heavy metal contaminated soil is remedied in cooperation with the plants. Restoration plants are rich in biomass after being harvested, biological source potassium humate can be prepared, reduction, harmlessness and recycling are achieved, iron in the plants plays a catalytic role in the process, and the yield of the potassium humate can be increased. As an efficient organic potash fertilizer, potassium humate can improve soil quality, promote plant growth and improve crop stress resistance, potassium humate prepared from remediation plants is recycled to polluted soil, soil remediation is promoted, virtuous cycle of soil and plants is achieved, the rest of potassium humate can be sold, and economic benefits are obtained.

The utility model relates to a kind of water body heavy metal pollution cyclic repair equipment, its structure is: three purification columns are positioned in the shell inner cavity circumference, heavy metal chelate particles are equipped in purification column;Water tank is connected at the lower end of shell, three water tanks of upper open are distributed in the circumference in water tank, the top of water tank corresponds with the position of purification column, the top of water tank is connected inlet pipe, extends water tank, pipe end portion has butterfly valve, the bottom of water tank is connected outlet pipe, extends water tank, pipe end portion has three-way valve;Positioning plate is connected at the upper end of shell, three water circulation pumps are peripherally arranged in positioning plate, the water inlet of water circulation pump upper end is communicated with the inner cavity of corresponding water tank by outlet pipe, the water outlet position of water circulation pump lower end corresponds with the upper end opening position of purification column. The repair equipment can repair heavy metal pollution water body by the purification column filled with adsorption material, and through water circulation system, improve water body repair efficiency, realize heavy metal recovery and the reuse of adsorption material.

This invention belongs to the field of inorganic material preparation technology and provides a method for preparing sodium tripolyphosphate-MOF composite nano-adsorbent materials, comprising the following steps: ultrasonically and shearing a sodium tripolyphosphate (Na-TTP) suspension, Co(NO3)2·6H2O, and 2-methylimidazole in methanol to obtain a Na-TTP / ZIF-67 composite solution. The Na-TTP / ZIF-67 nano-adsorbent material prepared by this invention exhibits higher heavy metal adsorption performance than pure ZIF-67 nanoparticles, paving the way for efficient remediation of heavy metal contaminated soil.

To provide a method for ecologically repairing heavy metal contaminated soil at an original position.SOLUTION: A method includes the following steps: pretreatment S1 of mildly tilling, plowing, and rotationally plowing a region to be repaired, and then drying the region with natural air, fermentation treatment S2 of piling up the soil in a conical soil pile, mixing the soil with fermentation bacteria, coarse sand, and charcoal powder, and naturally fermenting the mixture for 10 to 20 days, plant concentration treatment S3 of sequentially planting herbaceous plants, trees, and leguminosae crops in the soil, and concentrating / purifying heavy metal in the soil, fungi concentration treatment S4 of planting fungi in the soil and concentrating / purifying the heavy metal in the soil, disinfection and sterilization treatment S5, and pH adjustment treatment S6. The repair method reduces transfer of a heavy metal substance, and can protect environment and an ecological system at the maximum.SELECTED DRAWING: None

The invention relates to a comprehensive evaluation method and system for heavy metal pollution of a water environment in a region, and belongs to the technical field of electric digital data processing, and the method comprises the following steps: a, constructing a water environment pollution data model according to a monitored actual water flow region, and collecting pollutants in the water environment pollution data model; b, collecting pollutants in the water environment pollution data model according to a water flow velocity change area in the water environment pollution data model; c, analyzing the heavy metal content in the water environment pollution data model; and d, evaluating the whole water environment pollution data model to obtain an evaluation condition of the whole water environment pollution data model. The method has the beneficial effects that the heavy metal content of the whole water environment pollution data model is evaluated according to the pollutant condition of each point position, the pollutant condition of an area with large water flow speed change and the heavy metal content of each cross section.

The invention belongs to the technical field of glycine preparation, and particularly discloses a preparation method of glycine. The method comprises the following steps: controlling the reaction temperature, efficiently synthesizing ammonium chloroacetate from chloroacetic acid and liquid ammonia in a reactor, carrying out catalytic ammonolysis on the ammonium chloroacetate and ammonia gas in a reactor filled with a solid catalyst to realize continuity and reinforcement of the process, and carrying out alcohol precipitation crystallization, separation and purification to obtain glycine. The solid catalyst provided by the invention has the advantages of simple preparation, reproducibility, long service life, no metal pollution, easily available raw materials, controllable cost, long-acting cyclic utilization, high efficiency, simple recovery and the like; the method for preparing glycine by using the solid catalyst solves the problems of high consumption, high recovery cost, low production and purification efficiency and pollution caused by the traditional catalyst, and is a key technology for green and low-cost industrial production of glycine.

A metal pollution-resistant catalyst, its preparation and application are provided. The catalyst consists of a first alumina comprising a modified metal Mn and a second alumina. The ratio of the integral areas of the two peaks at 3670 cm−1 and 3730 cm−1 in the infrared spectroscopy of the catalyst is 1-5:1. The method for preparing the catalyst comprises a step of forming a slurry of an acid-soluble first alumina, a non-acid-soluble second alumina, water and optionally acid and a modified metal oxide. The metal pollution-resistant catalyst and the particle containing a catalytic cracking active component form a catalytic cracking catalyst, useful for catalytic cracking of hydrocarbon oil containing pollution metals. In the case of nickel pollution, catalytic cracking of hydrocarbon oil can reduce the ratio of hydrogen to methane.

The invention relates to the technical field of agricultural organic fertilizers, in particular to a layered silicate nano biological organic fertilizer capable of passivating heavy metal contaminated soil, which is prepared from the following raw materials: a modified layered silicate nano material, a modified organic fertilizer matrix, a modified functional microbial agent, humic acid, a slow-release carrier and a chelating agent. According to the invention, the layered silicate nano-material is modified, so that the surface polarity and active sites of the layered silicate nano-material are optimized, the adsorption and fixation capabilities on heavy metal ions are greatly enhanced, heavy metals in polluted soil are locked more efficiently, and the mobility of the heavy metals is reduced; after the organic fertilizer matrix is modified, the pore structure is more developed, the nutrient adsorption and retention performance is remarkably improved, nutrients can be slowly released, and nutrient support is continuously provided for soil microorganisms and crops; after the functional microbial agent is modified, the functional microbial agent can more stably survive and play a role in soil, the conversion of microorganisms to heavy metals is promoted, and the form of the heavy metals with higher toxicity is converted into a low-toxicity or non-toxic form.

The utility model discloses a filtering device for wine brewing, which relates to the technical field of wine brewing and comprises a filtering box body, a plurality of supporting legs are arranged at the bottom end of the filtering box body, a control panel is arranged on the end face of the filtering box body, and in order to achieve bacteriostasis, filtering and automatic foreign matter cleaning, a silver filtering assembly is arranged in the middle of the interior of the filtering box body. A filter screen cleaning assembly is arranged in the silver filter assembly, and a foreign matter cleaning box is arranged at the top end of the filter box body; a wine injection opening is formed in one side of the top end of the foreign matter cleaning box and used for injecting wine; a connecting mounting frame is arranged among the supporting legs, a plurality of filter cartridges are arranged in the connecting mounting frame, and wine outlets are formed in the bottom ends of the filter cartridges. By adopting the silver filtering assembly, the double functions of physical interception and chemical bacteriostasis are achieved, the chemical stability of the silver material is superior to that of stainless steel, metal pollution of a wine body is avoided, and therefore the limitation that traditional equipment depends on a single filtering material is broken through, and bacteriostasis, freezing resistance and flavor protection are integrated.