1567 results about "Nitrogen phosphorus" patented technology

The invention discloses an intelligent water and fertilizer integrated precise irrigation control method. The method comprises the following steps: step 1, establishing a multi-modal data acquisition network; step 2, inputting the data obtained in the step 1 into a trained LSTM neural network, and predicting future crop transpiration water demand; 3, according to nutrient concentration distribution fed back by a soil conductivity sensor in real time, combining with a water and fertilizer coupling migration model, dynamically calculating a nitrogen-phosphorus-potassium ratio of each irrigation zone, realizing precise mixing of a fertilizer mother solution and irrigation water through a three-channel proportioning pump, and implementing a variable irrigation decision; 4, dynamically adjusting the pulse irrigation duration of each branch through an MPC algorithm; and step 5, recovering the residual liquid at the tail end of the pipe network to a buffer tank, detecting the EC value of the recovered liquid through an electrochemical sensor, and taking the EC value as a reference parameter automatic correction proportioning algorithm of the next irrigation period. Accurate control over the irrigation process can be achieved, so that the water and fertilizer utilization efficiency is improved, and resource waste and environmental pollution are reduced.

The invention provides a soybean planting fertilization management system, and relates to the technical field of management systems.Soil physicochemical properties, a meteorological microenvironment, a plant growth state and agricultural machinery operation data are collected in real time through a field sensor network and an unmanned aerial vehicle multispectral imaging technology, and a farmland dynamic portrait is constructed; the intelligent decision-making unit uses a deep learning model and a GLCM texture analysis technology to dynamically identify plant nutrient deficiency pathological characteristics, determines a nutrient deficiency type in combination with an element concentration threshold and triggers early warning; the scheme decision module dynamically optimizes the nitrogen-phosphorus-potassium ratio through a reinforcement learning algorithm, generates a field-level fertilization prescription map by using Kriging interpolation, recommends the optimal fertilization opportunity and dosage, and the precise execution module is linked with a variable fertilizer applicator to realize integrated precise application of water and fertilizer. The user interaction module supports remote monitoring and intervention of farmers through a GIS visual interface and a mobile terminal APP, can dynamically adapt to environmental changes and crop requirements, and significantly improves the nutrient utilization efficiency.

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 discloses a cascade reservoir optimization regulation and control method based on nitrogen and phosphorus circulation of a water body, and relates to the technical field of water resource management optimization. Multi-dimensional data of a gradient reservoir is collected, and a time-space aligned multi-modal data set is constructed; according to a biogeochemical process of nitrogen and phosphorus circulation, a physical equation of the nitrogen and phosphorus circulation is deduced, and a physical constraint loss item is designed and is subjected to weighted combination with data driving loss to form a mixed loss function. According to the method, the physical constraint neural network model is constructed, and the physical equation of nitrogen and phosphorus circulation is embedded into the neural network loss function, so that the strong fitting capability of the data driving model is utilized, and the model output is ensured to accord with the biogeochemical law through the physical constraint; the key parameters of the physical equation are calibrated through the Bayesian optimization algorithm, the prediction precision of the model on the nitrogen and phosphorus migration and transformation process is further improved, the dependence on big data is effectively reduced, and a reliable prediction result can still be provided especially under the condition that the temporal-spatial resolution of data is low.

The invention discloses an accurate fertilizer proportioning production control system based on data analysis, and relates to the technical field of intelligent agriculture, the system collects soil and crop related data in real time through a sensor group and monitoring equipment, and after preprocessing, a crop growth environment data set is formed; summarizing and calculating a soil microorganism activity index, a root respiration rate index and a photosynthesis efficiency index; the indexes and the soil environment data are combined to determine the specific feeding demand quantity of nitrogen, phosphorus and potassium, the specific feeding demand quantity of nitrogen, phosphorus and potassium is summarized, a comprehensive fertilizer proportion index is calculated, evaluation is performed according to a preset first fertilizer demand threshold value and a preset second fertilizer demand threshold value, and when an evaluation result triggers a proportion adjustment mechanism, the fertilizer is adjusted. And the fertilizer ratio regulation and control module dynamically adjusts the fertilizer ratio according to the actual crop and soil conditions, and optimizes the ratio effect through a feedback mechanism. According to the system, the nutrient supply precision of crops is improved, fertilizer waste can be effectively reduced, and sustainable agricultural development is promoted.

The invention relates to the technical field of farmland fertilization management, and discloses an intelligent fertilization management method and system based on machine learning. The method comprises the steps that a soil parameter set and an environment parameter set of a target farmland are collected, soil parameters comprise soil humidity, nitrogen phosphorus and potassium content and pH value, and environment parameters comprise illumination intensity, temperature and rainfall; constructing a soil nutrient dynamic change model according to historical data, and predicting a soil nutrient consumption trend in a future preset period; generating an initial fertilization scheme based on the nutrient consumption trend and the crop growth stage characteristics; monitoring the growth state of crops in real time by using a multi-mode sensor, and obtaining a leaf surface color index, a stem height and a fruit development progress to form a growth state data set; and inputting the growth state data set and the initial fertilization scheme into a fertilization decision model, and comparing growth state deviation to adjust the nutrient distribution ratio to generate an optimized fertilization scheme.

The invention discloses an intelligent water and fertilizer integrated irrigation system based on an Internet of Things sensor and a large language model, and relates to the technical field of intelligent agriculture. The system obtains soil, weather and plant growth state data in real time through Internet of Things sensors, including a soil sensor, a weather sensor and a multispectral sensor, deployed in a farmland; the method comprises the following steps: based on a large language model architecture, integrating preset agricultural field knowledge base data, performing field adaptive fine tuning on model parameters by adopting a data migration technology, and constructing an intelligent irrigation control model with a dynamic decision-making function; the control model analyzes sensor data and crop growth requirements, generates a water and fertilizer supply strategy, calls an internet-of-things control interface of the water and fertilizer all-in-one machine, and automatically adjusts irrigation water quantity and proportional supply of nutrient elements such as nitrogen, phosphorus and potassium. According to the invention, Internet of Things perception and large model decision are fused, and different environments are adapted through fine adjustment, so that closed-loop precise control is realized, and the water and fertilizer utilization rate and the crop yield are remarkably improved. Actual measurement shows that the system can improve the water and fertilizer utilization rate by 30% or above, and the crop yield is increased by 15-20%.

The invention discloses a land-sea system nitrogen and phosphorus pollutant collaborative source analysis method, and particularly relates to the field of environmental governance and water pollution traceability, which comprises a comprehensive method based on a multi-isotope tracer technology, an isotope mixed model and nitrogen and phosphorus molar ratio verification, and comprises the following steps: acquiring isotope characteristics of nitrogen sources and phosphorus sources in various forms of a land-sea system; in combination with hydrology and water quality monitoring data, the polymorphic contribution of river water, underground water, coastal terrestrial sources and estuary endogenesis to estuary nitrogen and phosphorus pollutants is quantitatively analyzed; through accurate calibration of underground water input, dynamic quantification of pollution flux and cooperative analysis of nitrogen and phosphorus pollutant sources, the problem of insufficient systematicness and accuracy in tracing of complex multi-source pollutants in the prior art is solved, and a basis is provided for drainage basin-estuary-bay integrated treatment.

The invention discloses a drainage basin nitrogen and phosphorus pollution prediction method based on rainfall runoff migration, and relates to the technical field of water quality pollution prediction, and the method comprises the steps: accurately obtaining land utilization and water body distribution through a remote sensing technology, carrying out the space division of a pollution source through combining a nitrogen and phosphorus load coefficient, and constructing a rainfall runoff model. The runoff volume and time and space distribution under different rainfall events are reflected, and the spatial dynamic change of pollutants is captured through a hydrodynamic model, in combination with a convection diffusion equation and by introducing a conversion model of nitrogen and phosphorus in various forms. By integrating remote sensing data, rainfall runoff simulation, hydrodynamic force and nitrogen and phosphorus form transformation, the space-time migration and transformation process of nitrogen and phosphorus pollution in a drainage basin is described, so that the coupling relation between pollution source distribution and runoff power is revealed, the conveying and diffusion rule of pollutants in a river network is dynamically reflected, and the drainage effect is improved. And refining to transformation evolution of different nitrogen and phosphorus forms, and generating intuitive concentration distribution and thermodynamic diagrams through spatial interpolation.

The invention relates to a method for treating nitrogen and phosphorus-containing cleaning wastewater, which comprises the following steps: adding residual activated sludge, activated carbon and a nitrogen and phosphorus removal bacterial agent into a treatment system, carrying out braising exposure treatment, and regularly adding an organic carbon source; the nitrogen and phosphorus removal bacterial agent at least contains microbacterium kitamiense (PR) and aeromicrobe (Aeromicrobe tamlense) (PW), and is characterized in that the nitrogen and phosphorus removal bacterial agent at least contains the microbacterium kitamiense (PR) and the aeromicrobe tamlense (PW); the preservation numbers of the strain are respectively CGMCC (China General Microbiological Culture Collection Center) No. 25182 and CGMCC No. Starting water feeding after braising exposure is finished, and continuously operating to treat the cleaning wastewater. According to the method, total nitrogen, total phosphorus and COD in the wastewater can be efficiently removed at the same time in one structure, the treatment burden of a subsequent biochemical unit is avoided, the process is simple, and the cost is low.

The invention discloses a potassium fulvate chelated macroelement water-soluble fertilizer with stress resistance and growth promotion functions, and relates to the technical field of water-soluble fertilizers, the potassium fulvate chelated macroelement water-soluble fertilizer comprises the following raw materials by weight: 167-210 parts of mineral source potassium fulvate, 450-460 parts of potassium nitrate, 300-310 parts of urea, 150-160 parts of potassium dihydrogen phosphate, 30-40 parts of potassium sulfate, 15-25 parts of EDTA-disodium, and 5-15 parts of citric acid. 0.5 to 1.5 parts of brassinolide and 4 to 6 parts of polyaspartic acid; according to the potassium fulvate chelated macroelement water-soluble fertilizer with the stress-resistant and growth-promoting functions, through chelation cooperation of potassium fulvate and nitrogen, phosphorus and potassium, the solubility of the chelated phosphorus element in water is increased, and the chelated phosphorus element can be more uniformly distributed in soil; by adopting an EDTA-disodium and citric acid composite chelating system, volatilization and loss of nitrogen elements are reduced, the problem of precipitation of calcium, magnesium and phosphorus is solved, and the soil conditioner is suitable for hard water areas and especially has outstanding performance in saline-alkali soil and arid areas.

The invention discloses an intelligent agricultural planting management method and system, and belongs to the technical field of intelligent agriculture, and the method comprises the steps of data layer construction, water and fertilizer prediction layer construction, planting optimization layer construction and agricultural planting management. The space-time adaptive water and fertilizer prediction layer construction method combining the crop physiological load and the crop growth stage is adopted, the water demand and nitrogen, phosphorus and potassium nutrient demands of crops in the future stage are accurately predicted, the crop growth state and environment changes are dynamically responded, the water and fertilizer demand difference in different growth stages is considered, and the water and fertilizer prediction efficiency is improved. The accuracy and applicability of prediction are improved through time-space fusion, and accurate fertilization can be realized; a planting optimization layer construction method combining digital twinborn and multi-objective optimization is adopted, a water and fertilizer management strategy is subjected to refined and dynamic optimization under the condition of considering a crop growth stage, a soil nutrient condition and a future weather condition, and an optimal management strategy capable of improving the yield, saving water and fertilizer resources and reducing the nitrogen leaching risk is generated.

The invention relates to a cultivation nutrient medium and a preparation method thereof. According to the nutrient medium, peat is completely abandoned, the coco coir, the straw and the biochar are combined to reduce ecological burden, the nutrient medium is an environment-friendly medium, the biochar fixes carbon and reduces emission, and the soil structure can be improved after long-term use; vermiculite improves the water-holding capacity, perlite and straw form a stable pore structure, and the ventilation porosity reaches 25% or above. Wormcast and a microbial agent synergistically release nitrogen, phosphorus and potassium, and the fertilizer efficiency is lasting. The microbial agent can inhibit soil-borne diseases such as fusarium and reduce the death rate of cultivated seedlings. The biochar adsorbs salt and toxins, and the EC value is stabilized at 1.2-1.8 mS / cm. The cost of the selected raw materials is reduced by 35% compared with that of a traditional substrate, and the substrate is suitable for large-scale production, suitable for vegetable seedling culture, potted flowers, organic farms and soilless culture systems, and especially suitable for saline-alkali soil or continuous cropping obstacle areas.

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

The invention discloses a matching method, system, equipment and medium for a regional breeding pattern, and relates to the technical field of crossing of agricultural resource management and geographic information systems, and the method comprises the steps: obtaining soil fertility data, crop types and areas, regional breeding manure nutrient supply and nitrogen and phosphorus demand per unit area; according to crop types and areas in the planting and breeding area, nitrogen and phosphorus demand per unit area and soil fertility data, the matching degree of regional breeding manure nutrient supply and planting industry demand is quantified, and a planting and breeding balance index is obtained; obtaining a critical distance when the economic value of the manure transportation cost is equal to that of the manure transportation cost instead of the chemical fertilizer transportation cost, and screening out a resource allocation path with the lowest cost and the highest efficiency; and dynamically adjusting the planting structure according to the planting and breeding balance index and the resource allocation path, and screening out the optimal pattern configuration. According to the method, the problem of uneven distribution of nutrients among regions is solved, the resource utilization efficiency is improved, and global optimization of economic, ecological and social benefits is realized.

The invention discloses a lake eutrophication biological treatment system and a dynamic method based on multi-dimensional cooperative regulation and control. Exogenous pollution control, layered biological manipulation and artificial intelligence dynamic feedback are fused, and the method is particularly suitable for moderate eutrophication water bodies with nitrogen and phosphorus exogenous input not completely cut off. According to the gradient filling structure, macromolecular organic matters are intercepted by using shallow coarse particles, and middle / fine particles specially attack phosphate adsorption, so that graded removal of pollutants is realized; fish ingestion and benthic organism disturbance have a synergistic effect, secondary pollution of aquatic plant litter degradation to a water body is reduced, transfer of nitrogen and phosphorus from the water body and plant litters to animal objects is promoted, and the coupled system can reduce the phosphorus release rate of bottom mud, improve the stability of FePO4 precipitation and synchronously degrade sulfides and organic matters in the bottom mud; electric shock damage to benthic organisms is avoided through the micro-current intensity, sulfur metabolites can be used as a nutrient source of submerged plants, and biological self-purification and resource utilization of eutrophic water are achieved.

The invention relates to the technical field of data processing, and discloses a karst fragile area ecological restoration method and system based on measurement characteristics. The method comprises the following steps: detecting the content of carbon, nitrogen, phosphorus, potassium, calcium and magnesium in karst plants through a multispectral sensor, carrying out standardization processing to obtain a stoichiometric characteristic matrix, inputting a deep convolutional neural network to identify a plant conservation and resource acquisition adaptation strategy, quantitatively analyzing microtopography and niche environmental influence weight, and calculating the content of carbon, nitrogen, phosphorus, potassium, calcium and magnesium in the karst plants. And optimizing a restrictive nutrient factor ratio based on a calcium-magnesium regulation mechanism, and generating a differential nutrient regulation scheme in combination with an adaptive strategy to form a karst fragile region accurate ecological restoration implementation scheme. The technical problems that in ecological restoration of the karst fragile region, nutrient limiting factors cannot be accurately recognized based on plant stoichiometric characteristics, the quantitative analysis capability of environmental heterogeneity is lacked, and personalized nutrient proportion optimization is difficult to achieve are solved.

The invention relates to the technical field of agricultural precise management, and discloses an unmanned aerial vehicle precise variable rate fertilization method, which comprises the following steps: collecting vegetation indexes and color feature data of crops in a target plot through an unmanned aerial vehicle carrying a multispectral sensor and an RGB camera; acquiring soil characteristic data of the target land parcel, wherein the soil characteristic data comprises nitrogen, phosphorus and potassium nutrient content, humidity and pH value in soil; the invention further provides an unmanned aerial vehicle precise variable rate fertilization system which comprises a data acquisition module, and the data acquisition module is configured to acquire vegetation indexes, color characteristics, soil characteristics and meteorological data of the target land parcel through a multispectral sensor, an RGB camera, a soil sensor and a meteorological sensor carried by the unmanned aerial vehicle. Through multi-source data fusion, dynamic fertilization adjustment and path optimization, precise variable fertilization is realized, the fertilizer utilization efficiency is improved, the scientificity and efficiency of fertilization operation are improved, and meanwhile, the environmental influence is reduced.

The invention relates to a bacteria-algae composite adsorption module wetland substrate filler as well as a preparation method and application thereof, and belongs to the technical field of biology. The bacteria-algae composite adsorption module wetland substrate filler is prepared by the following steps: preparing an adsorption module, fungicide microspheres and a diatom biological membrane layer, placing the diatom biological membrane layer on the upper layer of the fungicide microspheres to form a diatom fungicide composite layer, and placing the diatom fungicide composite layer on the upper layer of the adsorption module. The bacteria-algae composite adsorption module wetland substrate filler disclosed by the invention can effectively remove pollutants such as nitrogen, phosphorus, lead, cadmium and the like in sewage by independently using the bacteria-algae composite adsorption module wetland substrate filler, effectively reduces the chemical oxygen demand (COD) of the sewage, and simplifies the hierarchical design of an artificial wetland; and the regeneration capacity is high, the replacement period is prolonged, and the operation and maintenance cost is reduced.

The invention belongs to the technical field of fertilizers, and particularly relates to a fertilizer for capsicum as well as a preparation method and a fertilization method thereof. In the pepper planting process, the proportion of carbon and nitrogen in the soil is coordinated, the nutrient slow release effect is achieved, the contradiction between vegetative growth and reproductive growth of pepper plants is relieved, and the fertilizer utilization rate is increased. In addition, a microbial agent is applied to the roots after transplanting, and the soil matrix and the disease resistance are enhanced by utilizing the disease resistance and the soil microenvironment improving capability of the microbial agent, so that the pepper yield is increased. The technology is simple and easy to implement, convenient to operate and quick in effect, common farmers or farmers can easily implement the technology, soil fertility and disease resistance can be continuously improved, and the problem of nitrogen and phosphorus loss of the peppers is effectively solved.

The invention relates to the technical field of pineapple planting, in particular to a management and control method for reducing malformed fruits caused by non-development of pineapple kernels. The management and control method comprises the steps of regulating and controlling nutrition before a flowering period, optimizing a microenvironment in a flowering period, strengthening management in a young fruit period and comprehensively preventing and controlling diseases and insect pests. The operation of regulating and controlling the nutrition before the flowering stage comprises the following steps: supplying a water-dispersible slow-release fertilizer by adopting a drip irrigation system from a seedling stage to a flowering accelerating stage; the mass ratio of nitrogen to phosphorus to potassium in the water dispersible slow-release fertilizer is 1: (1.1-1.3): (1.4-1.6); the operation of optimizing the microenvironment in the flower forcing period comprises the following steps: forcing flowers in cloudy days at the temperature of 18-25 DEG C or at dusk; after the inflorescence develops, a mixed solution of ethephon and gibberellic acid is adopted for core filling; the operation of strengthening young fruit stage management comprises the following steps: in a young fruit stage, spraying a mixed aqueous solution of sugar alcohol calcium and monopotassium phosphate to leaf surfaces; the operation of comprehensively preventing and controlling diseases and insect pests comprises the following steps: covering with breathable insect-preventing fruit bags 20 days after flowers wither, and releasing natural enemies to control the cardinal number of pests.

The invention discloses a pond multi-objective optimization management method oriented to agricultural watershed non-point source pollution regulation and control, and relates to the technical field of agricultural watershed non-point source pollution abatement. Multi-dimensional attributes such as pond application types, morphological characteristics and sediment nutrient states are integrated into a unified quantitative framework for the first time, and a generalized additive model is constructed to obtain a multi-objective optimization model; nonlinearity and interaction of pond attributes on river water quality influence can be accurately captured, and the accuracy of river nitrogen and phosphorus concentration prediction is improved. According to the method, pond management measures are quantified into controllable decision variables, a multi-target dynamic optimization model for balancing environmental benefits and economic benefits is established, a Pareto optimal solution is used for replacing a traditional experience decision, a scientific, efficient and quantitatively-implemented pond management scheme is provided, the one-sidedness of a single target is avoided, and the method is suitable for large-scale popularization and application. The cost minimization is realized while the non-point source pollution reduction is maximized, and the accurate configuration and scientific quantitative decision of pond management resources are realized.

The utility model provides a biological nitrogen and phosphorus removal system for sewage, and relates to the technical field of sewage treatment. The system comprises an anaerobic zone, a denitrification anoxic zone, a low dissolved oxygen aeration zone, a solid-liquid separation zone and an equipment zone which are sequentially communicated along a sewage flowing direction, all biochemical areas in the system are operated at high sludge concentration; the anaerobic zone is connected with a water inlet pipe; the solid-liquid separation area is provided with a drainage pipe; and the equipment area comprises stirring equipment and dissolved oxygen providing equipment. According to the biological nitrogen and phosphorus removal system for the sewage, provided by the utility model, the organic matter intake capacity and phosphate release capacity of microorganisms in the anaerobic zone can be improved, and synchronous nitrification and denitrification and denitrification phosphorus removal reaction can be promoted in the denitrification anoxic tank to remove nitrogen and phosphorus; synchronous nitrification and denitrification and phosphorus accumulation reaction can be performed in the low-dissolved-oxygen aeration area, organic matter removal is realized, no additional carbon source is needed, the aeration intensity is small, the operation energy consumption is low, and the treatment effect is good.

The invention discloses a feed for improving earthworm breeding yield and a preparation method thereof, and belongs to the technical field of earthworm breeding, the feed comprises the following components: 30-50 parts of fermented livestock and poultry manure, 20-30 parts of crop straw, 10-20 parts of soybean curb residue, 10-15 parts of corn flour, 5-10 parts of wheat bran, 3-5 parts of bone meal, 2-4 parts of shell powder, 0.5-1 part of a microbial agent, 1-2 parts of brown sugar, and a proper amount of water. The fermented livestock and poultry manure is rich in various mineral elements and organic nutrients such as nitrogen, phosphorus and potassium, and is an important source of nutrients required by earthworm growth; the crop straws are rich in cellulose and can promote intestinal peristalsis of the earthworms and help digestion; the soybean curb residues, the corn flour and the wheat bran are rich in nutritional ingredients such as protein and carbohydrate, and sufficient energy is provided for the earthworms; the bone meal and the shell powder contain a large amount of mineral substances such as calcium and phosphorus, so that the development of bones and bodies of the earthworms is facilitated; the microbial agent can regulate microbial flora in the feed and promote the absorption and utilization of the earthworms to nutrient substances.

The invention relates to a special fertilizer suitable for saline-alkali soil and a preparation method thereof. The fertilizer is granular and has a multi-layer structure which is sequentially arranged from inside to outside: a nutrition core layer, a controlled release film layer, a soil improvement fast exchange layer and a microorganism attaching layer. The nutrition core layer contains nitrogen, phosphorus, potassium and medium trace elements, and meets the basic nutrient requirements of crops; the controlled release film layer is self-assembled layer by layer by adopting alginate / chitosan, a humic acid-ferrous complex and a breakable cross-linking point are inserted into the film, and starch is sprayed on the outer layer, so that an ionic strength / alkalinity dual-response controlled release system is formed; the soil improvement quick exchange layer contains microcrystalline gypsum and ferrous sulfate; the microbial epiphytic layer fixes salt-tolerant phosphate solubilizing bacteria, potassium bacteria and exopolysaccharide-producing bacillus by using a charcoal-zeolite carrier, and the bacteria are distributed on the surfaces of the particles in a dotted manner. The fertilizer realizes organic combination of soil improvement, fertilizer supply and microbial regulation and control, can significantly reduce the soil salinity and alkalinity in a saline-alkali soil environment, and improves the fertilizer utilization rate and the crop growth performance.

The bio-based polymer compound fertilizer slow-release particle comprises a core layer which is a fertilizer core formed by chelating a nitrogen-phosphorus-potassium compound fertilizer and humic acid according to a mass ratio of 15: 15: 15, and a shell layer which is a cross-linked modified bio-based resin layer coated outside the core layer and has a thickness of 50-100 [mu] m, the water-retaining agent is formed by copolymerization of starch and cellulose according to the mass ratio of 3: 1, glycerol is added as a plasticizer, water and fertilizer synergistic interaction is adopted, a shell layer has ultrahigh water absorption rate, compared with a traditional water-retaining agent, the stream efficiency is effectively improved, space-time synergy is formed with 12-month slow release of a core layer, and the good water-retaining rate is achieved; meanwhile, in cooperation with an ecological restoration force gradient structure (inner hydrophilic-outer hydrophobic), water evaporation is reduced, and in cooperation with humic acid chelation, the vegetation survival rate is remarkably increased.

The present invention discloses a nitrogen-phosphorus flame-retardant epoxy resin curing agent, an epoxy resin prepreg and a carbon fiber composite material. The nitrogen-phosphorus flame-retardant epoxy resin curing agent contains benzene ring groups, nitrogen and phosphorus elements. By using a curing agent with a specific structure, the present invention enables the epoxy resin to cure for a longer time at room temperature, and can rapidly cure the epoxy resin at high temperature, thereby prolonging the operability time for preparing the carbon fiber composite material. Moreover, the nitrogen and phosphorus elements in the molecular structure of the curing agent can improve the flame-retardant performance of the epoxy resin, making the prepared epoxy resin prepreg have high fire resistance.

The invention belongs to the technical field of biological sewage treatment, and relates to a bacteria-algae particle preparation method and system for promoting bacteria-algae system granulation based on pressure response. The preparation method comprises the following steps: co-culturing the mixed microalgae cultured to a logarithmic phase and aerobic activated sludge in a photobioreactor, in the culture process, jointly regulating and controlling aeration, a carbon source and inlet and outlet water to promote granulation of a bacteria-algae system according to the principle of'pressure-induced stress response ', and controlling dissolved oxygen levels in different periods according to the principle of'unbalanced air supply' during aeration regulation and control; the carbon source regulation follows the principle of unbalanced nutrition to control the COD concentration in different time periods; the water inlet and outlet regulation follows the principle of reducing the settling time, and the water change settling time is gradually shortened in the culture period. The bacteria-algae granular sludge which is good in settling performance, high in dirt-removing power and compact in structure is prepared, the prepared bacteria-algae granular sludge is used for treating sewage and wastewater, pollution of carbon, nitrogen, phosphorus and the like can be efficiently solved, the effluent quality is effectively improved, and carbon emission reduction in the sewage treatment field is promoted.

The invention relates to the technical field of soil remediation, and provides a soil pollution remediation process which comprises the following steps: distributing points in grids of an area to be remediated, measuring the content of heavy metals and the concentration of organic pollutants, applying multi-frequency microwave radiation, synchronously applying ultrasonic treatment, and injecting a complex microbial inoculant containing sphingomonas, aspergillus niger spores and a nitrogen and phosphorus nutrient solution. A direct-current electric field is applied, pH, oxidation-reduction potential Eh and temperature parameters are monitored and measured in real time through an embedded sensor, a repair by-product recovery system is arranged, the purity of recovered metal is not lower than 98%, and mobile repair equipment is used in a matched mode. According to the method, the pollution degree is accurately quantified by constructing the pollution index PI, and dynamic regulation and repair are realized in combination with real-time monitoring parameters of a sensor. The pollutant removal efficiency is improved through the synergistic effect of multiple technologies, metal resource recovery is achieved through a repair by-product recovery system, traditional problems are solved, and efficient and environment-friendly repair is achieved.