11508 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 discloses a soil organic matter prediction mapping method, device and equipment based on deep learning and a medium, and relates to the field of digital soil mapping, and the method comprises the steps: obtaining a remote sensing image of target region soil, and setting a preset number of soil sampling points; comprehensively acquiring environmental data indexes such as terrain factors, vegetation factors, climate factors and land utilization factors; constructing three-dimensional environment tensor data in a preset range of each sampling point, and inputting the three-dimensional environment tensor data into the soil organic matter content prediction model to obtain an organic matter content prediction value set of the soil sampling points in the target area; and generating a spatial distribution prediction map of the soil organic matter content of the target area by combining the prediction value set and the spatial coordinates of the soil sampling points, thereby improving the accuracy of soil organic matter prediction and the mapping efficiency, and providing technical support for soil resource management and agricultural sustainable development.

The present invention relates to the technical field of oil and gas exploration and development. Provided are a digital core-based shale pore type recognition method and a quantitative characterization method. The digital core-based shale pore type recognition method comprises: on the basis of a gray image of a shale sample to be recognized, recognizing an organic matter and a transition zone to obtain an organic matter recognition result; and on the basis of the organic matter recognition result and the gray image, obtaining an organic pore image and an inorganic pore image as a shale pore type recognition result. The present invention can be used to quantitatively recognize organic pores, inorganic pores and micro-cracks of shale, quantitatively characterize shale pore structures, and analyze structural parameters of the organic pores, the inorganic pores and the micro-cracks, so as to perform statistical analysis of distribution of different types of reservoir spaces of shale, thereby being of great significance for shale reservoir quality evaluation and effective shale oil and gas development method optimization.

The invention relates to the technical field of soil pollution component analysis, and discloses an agricultural soil pollution prediction method. The method comprises the following steps: carrying out soil physicochemical property detection through layered gridding sampling, determining the heavy metal content, the organic matter content and the enzyme activity, and obtaining a pollution characteristic data set; monitoring diffusion characteristics of pollutants by adopting an electrochemical sensing detection array, and generating a migration rule model; a multi-parameter monitoring system is used for detecting the pH value, the oxidation-reduction potential and the ion activity, and a dynamic change sequence is formed; establishing a colloid interface action response matrix, and constructing a pollutant accumulation model; determining the occurrence form and the ion concentration of the pollutants, and generating an interaction map; and finally, constructing an early warning system, and outputting a prevention and control scheme. According to the invention, through cooperative application of multiple analysis and test means, and in combination with interface action mechanism research of pollutants in soil, whole-process intelligent monitoring of soil pollution prediction is realized.

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 discloses a culture method of anaerobic ammonia oxidation granular sludge with a polydopamine modified charcoal-loaded Fe-Cu sodium alginate microsphere kernel, which comprises the following steps: modifying charcoal by using polydopamine, then carrying out Fe-Cu ion loading, finally preparing sodium alginate microspheres, and taking the prepared sodium alginate microspheres as the kernel to prepare the anaerobic ammonia oxidation granular sludge with the polydopamine modified charcoal-loaded Fe-Cu sodium alginate microsphere kernel. And co-culturing the sodium alginate microspheres and activated bacillus DMF-4 in an oxygen-free environment, continuously culturing for 3 weeks, and collecting by using a gravity settling or centrifugal method to obtain the anaerobic ammonium oxidation granular sludge with the sodium alginate microsphere core. The sodium alginate microspheres serving as the core provide large density and good morphological support for sludge particles, the problem of sludge bulking is avoided, and the settling performance is improved. According to the present invention, the sludge anti-shearing performance is improved, the adsorption capacity of the slowly released and continuously slowly released iron ions on organic matters, ammonia nitrogen and heavy metals is enhanced, the sewage treatment effect is improved, and the iron ions are the biodegradable material so as not to cause secondary pollution in the use process.

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 provides a zero-discharge treatment process for recycling production wastewater, and relates to the technical field of water treatment and recycling, and the zero-discharge treatment process comprises the following steps: S1, oxidizing and degrading COD through ozone and a Fenton reagent, and generating a flocculatable intermediate; s2, intercepting suspended matters by using a gradient aperture filter bed in a grading manner, and monitoring a dynamic membrane resistance coefficient delta Rm in real time to automatically trigger backwashing; s3, coupling an ultrafiltration reverse osmosis membrane to realize that the organic matter rejection rate eta is greater than or equal to 98%, and synchronously regulating and controlling flux and operation pressure by an online spectrometry; s4, regulating and controlling the current density by adopting a rotational flow electric flocculation reactor for directional crystallization to produce industrial salt with Cl <-> less than or equal to 50mg / L; and S5, based on the total dissolved solid recovery rate TR and the comprehensive energy consumption, establishing a multi-target optimization model for real-time parameter adjustment. According to the method, a membrane pollution early warning and backwashing dynamic response mechanism is constructed through cross-scale cooperative regulation and control of delta Rm and the retention rate eta, and a catalytic oxidation effect strengthening and electric crystallization parameter self-tuning technology is combined, so that the problem of cooperative optimization of high-salinity wastewater salt gradient separation and pollutant deep removal is solved.

The invention discloses a dosing system for pre-oxidation enhanced coagulation in a water plant and an intelligent regulation and control method, and relates to the technical field of pre-oxidation enhanced coagulation water treatment. The system comprises a raw water pump, a mixing tank, a tubular static mixer, a flocculation tank, a sedimentation tank, an industrial personal computer and multiple online detection instruments which are sequentially connected in series, so as to monitor the flow, conductivity, pH value, temperature, turbidity, ultraviolet absorbance and organic matter concentration of raw water. Key water quality indexes are monitored in real time through data collection and a pre-oxidation enhanced coagulation regulation and control system based on machine learning of an industrial personal computer, and intelligent and accurate prediction of the dosage of oxidants (potassium permanganate, permanganate composite agents and potassium ferrate) and coagulants is achieved; the effluent turbidity, the effluent ultraviolet absorbance and the effluent organic matter concentration of the sedimentation tank are fed back in real time, the adding amount of the oxidizing agent and the coagulant is dynamically adjusted through a regulation and control algorithm, the effluent quality is guaranteed, and medicine consumption is reduced.

The invention provides a vehicle-mounted soil nutrient detection method and device based on soil spectral data classification, and relates to the technical field of soil detection.The method comprises the steps that soil near infrared spectral data of soil of a current site in a farmland area to be detected is collected through vehicle-mounted equipment; then obtaining first spectrum difference information and second spectrum difference information based on the soil near infrared spectrum data; further determining the similarity degree of the near infrared spectrum data of the soil; dividing the soil near infrared spectrum data into a plurality of different soil near infrared spectrum data subsets through a spectral clustering algorithm, and performing soil nutrient detection through a farmland soil nutrient detection model. According to the vehicle-mounted soil nutrient detection method based on soil spectral data classification, the total nitrogen content and the organic matter content of the soil can be accurately output in real time, and the detection effect of soil nutrient detection is improved.

The invention relates to the technical field of sewage discharge treatment, and discloses a sewage low-carbon treatment system based on electrochemistry and biochar, which comprises a deep treatment filter tank, an electrochemical nitrogen and phosphorus removal device, a biochar adsorption and filtration module, an intelligent control and operation and maintenance system, a slow-release agent regulation and control module and a low-carbon and resource recycling system, the advanced treatment filter tank is used for filtering sewage impurities and particles, adsorbing and removing organic matters, reducing the content of nitrogen and phosphorus nutrient substances and adapting to the change of water quality and water quantity; the electrochemical nitrogen and phosphorus removal device is used for carrying out electrochemical reaction to remove nitrate, phosphate and fluorine ions. According to the invention, the electrochemical active reaction is combined with charcoal adsorption filtration, so that the technology greatly improves the sewage treatment efficiency, especially shows a higher removal rate when treating complex pollutants, can meet higher water quality standard requirements, and effectively overcomes the difficulty that the traditional treatment technology is difficult to remove multi-element pollutants.

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 relates to a lacustrine facies shale conductive model considering organic matter influence and a saturability evaluation method, and belongs to the technical field of unconventional oil and gas reservoir oiliness evaluation, and the method comprises the following steps: 1) representing fluid information in a shale sample based on a pressure-maintaining closed sample and a two-dimensional nuclear magnetic resonance technology; 2) according to the organic carbon content and the clay content of the shale, dividing the lithology type of the lacustrine facies shale, and analyzing the relation between different lithology resistivity values and the porosity of free water and bound water; 3) selecting a siltstone interlayer sample, and inversely calculating a cementation index and a saturation index of the inorganic pore conductive network; 4) establishing a lacustrine facies shale parallel conductive model, and calibrating rock-electricity parameters according to lithology; 5, a lithology discrimination chart, a TOC prediction model, a bound water content prediction model and an effective porosity calculation model are established, and the oil saturation is explained according to different lithologies in combination with the lacustrine facies shale parallel conduction model.According to the method, accurate shale reservoir fluid information is provided, and a brand new thought is provided for rock electrical parameter calibration.

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 discloses a preparation method of a two-dimensional heterojunction structure, and belongs to the technical field of two-dimensional materials. According to the method, the difference between the optimal viscosity temperature of PC and the optimal viscosity temperature of PPC is utilized, the two-dimensional heterojunction structure comprising the upper supporting layer and the lower supporting layer on the PPC film without viscosity falls on the PC film with high viscosity within the temperature range of 90-110 DEG C, transfer of the two-dimensional heterojunction structure is achieved, and therefore preparation of the two-dimensional heterojunction structure is completed. By adopting the method, pollution and damage to the two-dimensional material and the supporting layer caused by an organic matter extracting and soaking or high-temperature annealing process in the prior art can be avoided; meanwhile, PC and PPC are flexible organic film materials, stress borne by the two-dimensional material can be effectively reduced, and therefore the two-dimensional material is more uniform.

The invention relates to the field of agricultural soil improvement and ecological fertilization, and discloses an ecological fertilization method for improving the organic matter content of soil in a dry-hot valley region, and the method comprises the following steps: soil matrix improvement: improving the porosity and water binding capacity of the soil by adding charcoal and humic acid particles; the functional microbial preparation is put, and the activity of soil microorganisms is activated through the combined effect of cellulose decomposition bacteria, stabilization promoting flora and water retention flora; green manure crop planting and covering management: planting sweet clover and other leguminous crops to provide a carbon source and a nitrogen source for soil, and meanwhile, utilizing straw covering to inhibit water evaporation; turning over and stabilizing the green manure crops, namely turning over and stabilizing the organic matters in a blooming period of the green manure crops and combining with a stabilization promoting bacterial liquid and an adsorptive carrier; dynamic balance is maintained, and dynamic balance of decomposition, conversion and accumulation of organic matter is achieved step by step through multi-cycle planting and turning and pressing. The organic matter content and fertility of the soil can be improved, and the water-retaining property and microbial ecosystem of the soil are improved.

The invention discloses a cyanamide axial coordination cobalt monatomic catalyst for persulfate activation and a preparation method and application thereof, and belongs to the technical field of persulfate advanced oxidation. The catalyst is prepared by the following method: simultaneously adding NH2CN and NaOH into a CoCl2 solution, stirring for reaction, and after the reaction is finished, washing, filtering and drying to obtain the catalyst CoN4 (NCN). The catalyst CoN4 (NCN) with an isolated Co site and cyanamide ([NCN] 2-) coordination structure is synthesized by adopting a one-step precipitation method. The catalyst can be used for an advanced oxidation system based on persulfate activation, and can be used for deeply treating a water body polluted by high-concentration organic matters, so that the biodegradability of the water body is improved. In addition, CoN4 (NCN) also has obvious stability and environmental adaptability, and has important application prospect and value in the field of organic pollutant degradation.

The invention relates to the field of soil improvement, and discloses a saline-alkali soil conditioner and an application method thereof.The saline-alkali soil conditioner is prepared from, by weight, 10-30 parts of desulfurized gypsum, 5-20 parts of calcium chloride, 5-15 parts of ferrous sulfate, 5-15 parts of ammonium sulfate, 20-30 parts of organic materials, 20-30 parts of inorganic materials and 5-10 parts of microbial conditioner; the salt content and the pH value of the saline-alkali soil are reduced through desulfurized gypsum, calcium chloride, ferrous sulfate and ammonium sulfate; organic matter of saline-alkali soil is increased through organic materials, and the soil structure is improved; the water retention capacity and the nutrient supply capacity of the saline-alkali soil are improved through the inorganic materials, and the soil structure is further improved; solidified nutrients in the saline-alkali soil are activated through the microbial modifier, and the structure of the soil is improved; an ascending channel of soil underground salt is cut off through the isolation layer; therefore, the problem that the improvement efficiency is low due to the fact that salt and alkali return is prone to occurring in traditional improvement measures is solved.

The invention relates to the technical field of karst soil monitoring, in particular to a karst key zone soil profile intelligent monitoring system and method. The intelligent monitoring system for the karst soil profile integrates a multi-layer sensor network and edge calculation and specially attacks the soil monitoring problem of a karst area, and the sensor network accurately collects moisture, temperature, pH value, organic matter and microorganism data; the data processing module receives and preprocesses in real time to ensure efficient transmission of data; the deep learning module constructs evolution, community and moisture models to improve the analysis precision; the decision support module generates health assessment and irrigation suggestions and assists in scientific decision making; the system overcomes the bottleneck of poor adaptability of traditional monitoring, reduces energy consumption, relieves communication burden, provides powerful technical support for research and management of karst soil, and realizes accurate, efficient and intelligent monitoring.

The invention discloses a river water ecological health monitoring method and a river water ecological health monitoring system, relates to the technical field of ecological health monitoring, and aims to solve the problem that a traditional water quality monitoring method mainly depends on water sample collection and laboratory analysis, and judges the water quality by measuring indexes such as dissolved oxygen, pH value, ammonia nitrogen, total phosphorus, heavy metal and dissolved organic matters in water; the river runoff is calculated from the precipitation and the drainage basin area, and the monitoring points are set in combination with the environmental information, so that an accurate data basis can be provided for subsequent water quality health assessment. The water quality condition is predicted by utilizing the water flow speed and the pollution point discharge amount and then compared with an actual monitoring result, so that potential problems can be found in time and a monitoring strategy can be optimized.

The invention belongs to the technical field of soil improvement, and discloses a wormcast biochar-based soil conditioner as well as a preparation method and application thereof. The soil conditioner is prepared from the following raw materials: modified charcoal, wormcast, a seaweed fertilizer, a microbial agent, vermiculite, humic acid, urea and coal gangue. The modified biochar and the wormcast are used as main components, the modified biochar is loaded with potassium and phosphorus, and potassium and phosphorus elements can be slowly released and provided; on one hand, plasma modification can generate oxygen-containing groups and increase active sites, so that heavy metals are complexed, and the removal capacity of the heavy metals is improved; on the other hand, holes in the surface of the biochar can be increased, the specific surface area is increased, the adsorbability is improved, and the biochar can serve as a carrier of components such as microorganisms, wormcast and urea, so that nutrient substances are slowly released in soil. Wormcast contains some bacteria, fungi and the like, promotes plant growth and serves as organic fertilizer together with seaweed fertilizer and humic acid, and the content of organic matter and mineral matter in soil is increased.

The invention relates to an aluminum oxide industrial waste residue treatment technology, in particular to a red mud synchronous dealkalization soil treatment method. According to the method, citric acid and calcium nitrate are adopted as treating agents to cooperatively treat the red mud, the sodium content requirement of planting soil is taken as the standard, the red mud is dealkalized to reduce the sodium content, meanwhile, the granularity of the dealkalized red mud is improved, the organic matter content of the dealkalized red mud is increased, and then the dealkalized red mud and normal soil are mixed in proportion to form the dealkalized red mud soil. The physicochemical indexes of the dealkalized red mud soil are as follows: the volume weight is 1.18-1.26 g / cm < 3 >, the organic matter content is 10.6-12.3%, the pH value is 7.2-7.35, the EC is 0.492-0.562 ms / cm, and the specific surface area is 51.49-59.80 m < 2 > / g. The dealkalized red mud soil obtained through the synergistic treatment of the citric acid and the calcium nitrate completely meets the physicochemical properties of the soil and the planting requirements of plants.

A method for separating liquid-like (T2e) from solid-like (T2G) 1H NMR transverse relaxation times in porous media uses novel pulse sequences together with a 1H NMR spectrometer optimized for geological core samples. The method is applied to obtain 1D T2 distributions and 2D T1-T2 maps in organic-rich chalks for quantification of liquid-like signal (micropore fluids, meso-macropore fluids, fluids dissolved in organic matter, and clay-bound water) and solid-like signal (kerogen, bitumen, and clay hydroxyls). The novel pulse sequences comprise a solid-echo, which detects more solid-like signal than an FID. The method is used for fluid typing in micro / meso-macro pores, clay mineral identification, determination of kerogen content, and quantification of solvent-extracted bitumen versus bitumen expelled from kerogen due to swelling from dissolved hydrocarbons. The method is used to quantify the asphaltene, resin, aromatic, and / or saturate content of bitumen in the rock.

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 discloses a preparation method of a ceramic membrane with efficient separation and catalysis functions as well as a product prepared by the preparation method and application of the ceramic membrane. The preparation method comprises the following steps: preparing a ceramic membrane support body by taking large-particle-size ceramic particles as a raw material, and preparing a transition layer by taking transition metal oxide nanofibers as a raw material by adopting a dip coating method; small-particle-size ceramic particles are used as raw materials to prepare a separation membrane layer by adopting a dip-coating method, and the ceramic membrane with a sandwich structure is formed through one-step co-firing. The transition layer with high porosity and specific surface area is formed by adopting the transition metal oxide nanofibers, so that the number of catalytic active sites and the permeation flux are improved; small-particle-size ceramic particles are adopted to form a separation membrane layer with uniform pore size distribution and a flat membrane surface, so that the separation efficiency of particulate matters and organic matters in water is improved, the accumulation of the particulate matters and the organic matters on the membrane surface is reduced, and meanwhile, the particulate matters and the organic matters in water are prevented from covering active sites of the catalytic ceramic membrane; therefore, the separation efficiency and the catalytic degradation efficiency of the ceramic membrane are synchronously improved.

The invention discloses a rock mechanical parameter determination method based on a nanoindentation experiment, which comprises the following steps: S1, randomly selecting a small part of a target rock to carry out the nanoindentation experiment, and testing the elastic modulus, hardness and fracture toughness micromechanical parameters of the target rock; s2, constructing a multi-scale structure model of the target rock by considering internal cracks, pores, organic matters and proportion factors of each mineral component of the target rock based on the micromechanics parameters obtained by the nanoindentation experiment; s3, on the basis of the multi-scale structure model of the target rock, performing multi-scale transformation by utilizing a reformed group theory to obtain a simplified structure model of the target rock, and calculating mechanical parameters of the simplified structure model; and S4, carrying out a macromechanics experiment on the target rock, calculating mechanical parameters, and then checking the reliability of the method for calculating the mechanical parameters of the target rock based on the nanoindentation experiment. According to the method, the efficiency and precision of calculating the macromechanical parameters of the rock can be improved.

The invention relates to a preparation method of spherical silicon dioxide micropowder with ultralow dielectric loss. The preparation method comprises the following steps: preparing an organic silicon polymer; preparing slurry; performing solid-liquid separation on the synthetic slurry to obtain concentrated slurry, and drying the concentrated slurry to obtain spherical silica powder; carrying out low-temperature heat treatment on the obtained spherical silica powder at 1500-7000 DEG C for h to remove residual organic matters and free water in the powder; then, high-temperature densification is carried out at the temperature of 3000-28000 DEG C for h, and moisture is further removed; adding a modifier into the stirring equipment for surface modification; and after surface modification, drying at 55-300 DEG C for h, and removing modified micromolecular byproducts to obtain the spherical silicon dioxide micro powder with ultralow dielectric loss. The method is simple in production process, short in production period, low in production cost, high in yield and capable of effectively reducing the dielectric loss of the spherical silicon dioxide micro powder.

The invention discloses wastewater treatment equipment and method used in a starch sugar production process, and belongs to the technical field of starch sugar production wastewater treatment. The shell comprises an inner shell and an outer shell, the bottom of the outer shell is fixedly provided with a drainage valve, the top of the inner shell is fixedly connected with a fixing frame, the fixing frame is fixedly provided with a power mechanism, the outer wall of the top of the inner shell is provided with a scum collecting mechanism, the bottom of the inner shell is fixedly provided with a cleaning cavity, and the side wall of the cleaning cavity extends outwards to form a blow-off pipe; a cleaning mechanism is fixedly arranged on the cleaning cavity, a filter cavity is fixedly arranged at the upper part of the cleaning cavity, a rotary filter screen is rotationally connected in the filter cavity, and an aeration disc is fixedly arranged at the top of the filter cavity. By arranging the power mechanism, when the driving motor rotates forwards and rapidly, rapid and efficient mixing of wastewater and a flocculating agent is promoted, and when the driving motor rotates backwards and rotates slowly, aeration operation is carried out in cooperation with the aeration disc, and soluble organic substances in the wastewater are removed. The method is mainly used for treating the starch sugar production wastewater.

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.