92 results about "Concentration gradient" patented technology

The invention provides a recirculation flue gas denitration load reduction evaluation method, which comprises the following steps: acquiring flue gas temperature, residual oxygen concentration and recirculation flow transmitted by a multi-point temperature collector and an oxygen content monitoring device, and performing data fusion processing to obtain temperature gradients and oxygen concentration gradients corresponding to different extraction positions; a preset target oxygen concentration threshold value of the denitration system is obtained, the deviation degree of the local oxidizing atmosphere strengthening degree grade and the target oxygen concentration threshold value is evaluated, the oxygen content proportion of the hearth is adjusted according to the deviation degree, and a wind pressure set value is obtained; and the recirculation flow and the residual oxygen concentration variation corresponding to the optimal extraction scheme are extracted, the oxygen concentration reduction amplitude is evaluated, the denitration load reduction proportion is quantified according to the oxygen concentration reduction amplitude, and denitration load reduction is evaluated.

The application discloses an intelligent dynamic grid self-adapting method and equipment for droplet pool simulation of additive manufacturing, and the method comprises the following steps: establishing a simulation model of additive manufacturing by using a pool simulation tool; extracting the simulation real-time gas phase fraction gradient, solid phase fraction gradient, solute concentration gradient and pool temperature gradient of each grid at each time step of simulation as the perceived physical parameters; adaptively calculating the encryption urgency index of each grid according to the perceived physical parameters; obtaining the historical encryption urgency index of each grid, calculating the second-order difference value, and predicting the change trend of the encryption urgency index of each grid at the future time; determining the encryption threshold and the coarsening threshold according to the encryption urgency index of all grids at the current time step, and combining the change trend of the encryption urgency index, the size relationship between the encryption urgency index and the threshold to determine whether the grid needs to be encrypted or coarsened; and iterating until the simulation is completed. The application has high precision, low cost and high automation degree.

The invention relates to the technical field of digital twinning, in particular to a method and system for selecting a survey point of a pollution source of a drainage water body of a drainage system, and the method comprises the following steps: extracting the number of an intersection node, obtaining the flow velocity and the sectional area of a channel, judging the main flow direction, marking a low-flow path, combining the priority and the concentration gradient, and tracking a pollution trend path. According to the method, the intersection node number is extracted, the main communication direction is judged by combining the channel flow velocity and the sectional area, the path recognition precision and the automation level are improved, the expansion direction is marked and terminated by combining the concentration gradient and the priority, and the region boundary termination node is dynamically delimited; according to the method, the pollution diffusion identification capability is enhanced, the continuous concentration change direction is identified, the consistent path is tracked, the trend tracing accuracy is improved, the abrupt change path is screened through the concentration change rate, the suspicious emission section is locked, the investigation nodes are ranked according to the pollution load, and the sampling pertinence and the pollution tracing efficiency are improved.

The application provides a kind of hierarchical extraction and analysis method of unrecoverable pollution in contaminated micro / ultrafiltration membrane, belongs to the field of membrane pollution analysis. Including the following steps: (1) pre-cleaning of contaminated micro / ultrafiltration membrane;(2) after the contaminated membrane is dried after pre-cleaning, immerse in the first solvent extraction liquid, make the membrane and the extraction liquid fully contact, after treatment, solid-liquid separation obtains first extraction liquid;(3) the second solvent extraction liquid is added to the membrane sample treated in step (2), the membrane sample is completely dissolved, and the second extraction liquid is obtained;(4) purification and analysis of extraction liquid: add the first extraction liquid or the second extraction liquid drop by drop to 5-10 times volume of pure water, centrifugal filtration solid after phase inversion to obtain purified extraction liquid, and analyze the physicochemical properties of the extraction liquid. The application extracts the unrecoverable pollution in the membrane under different temperature conditions and solvent concentration gradients by introducing polar organic solvent.

This invention proposes a deep-sea seabed observation device based on bidirectional concentration gradient gas exchange for dissolved oxygen compensation, belonging to the field of deep-sea exploration and marine instrumentation technology. It solves the problems of existing deep-sea seabed in-situ observation devices, such as the inability to achieve low-disturbance dissolved oxygen compensation and carbon dioxide removal during long-term closed observations, and the difficulty in adapting to extreme high pressures in the deep sea to achieve pressure stabilization, leading to deterioration of the observation environment, data distortion, and insufficient equipment reliability. It includes an observation unit, a power and chemistry unit, and a fixed lifting system. The observation unit comprises an observation cabin, a membrane module installed on the bottom of the observation cabin's hatch, and a circulation hose connected to the membrane module. The membrane module includes a membrane module frame and a PTFE tube fixed to the membrane module frame in a spiral configuration. The PTFE tube is a microporous hose that enables bidirectional concentration gradient gas exchange. The power and chemistry unit is installed at the front panel of the observation cabin via a power and chemistry unit mounting component. It is mainly used for deep-sea seabed observation.

The present application relates to the technical field of feeding control, and particularly relates to an intelligent multi-stage feeding control system for sea cucumber processing, which comprises a data acquisition module for obtaining initial sea cucumber elastic modulus; a multi-stage feeding analysis module for starting a first-stage feeding program based on the initial sea cucumber elastic modulus, and determining a second-stage initial liquid concentration gradient and a second-stage initial temperature gradient to start a second-stage feeding program; a multi-stage feeding control module for constructing a gentle feeding concentration gradient and predicting a first-stage concentration inside the sea cucumber, determining a second-stage process liquid concentration gradient and a second-stage process temperature gradient based on a real-time lag influence coefficient, and predicting a second-stage concentration inside the sea cucumber; and a compensation feeding analysis module for determining a compensation liquid concentration and a compensation time, determining a compensation correction time based on a real-time temperature, and predicting a third-stage concentration inside the sea cucumber. The present application improves the control precision of the multi-stage feeding process for sea cucumber processing.

The invention provides a method and a kit for detecting the content of grease in yeast. The method for detecting the content of grease in yeast comprises the following steps: S1, preparing a sodium chloride solution with a series of concentration gradients; s2, sequentially adding bacterial liquid containing yeast to be detected into the sodium chloride solution, uniformly mixing, then carrying out centrifugal treatment, and after the centrifugal treatment, observing the initial suspended salinity, the middle suspended salinity and the complete suspended salinity of the yeast in the sodium chloride solution; s3, determining the grease content in the to-be-detected yeast according to the initial suspension salinity, the middle suspension salinity and the complete suspension salinity. According to the method for detecting the content of the grease in the yeast cells by using the saline water with different concentrations, the range of the content of the grease in the yeast cells, which can be detected, is about 10%-60%, the detection precision is about 10%, and the method has important significance on rapid detection of the content of the grease in industrial fermentation of the yeast.

This invention belongs to the field of heavy metal ion detection technology, specifically relating to a method for detecting Co based on microwave-synthesized histidine carbon quantum dots from yam. 2+ The method involves adding ground yam powder and histidine to deionized water, stirring, and then microwaving. After centrifugation, the supernatant is filtered through a filter membrane, and the filtrate is the yam-doped histidine carbon quantum dot (F-CDs) mother liquor. Different concentration gradients of Co are added to the F-CDs mother liquor. 2+ Subsequently, the fluorescence intensity of the F-CDs mother liquor increased with Co. 2+ The quenching efficiency F / F0 and Co gradually decrease with increasing concentration. 2+ In 1×10 ‑6 ~9×10 ‑6 The method exhibits good linearity within the mol / L concentration range and demonstrates good selectivity, indicating that it is effective for Co. 2+ The detection is characterized by its sensitivity, speed, and high selectivity.

The invention discloses a control method for shunt calcium reduction in a rare earth extraction process, which comprises the following steps: a rare earth saponification section is divided into N saponification sections which are connected in series, and N is greater than or equal to 4; saponification organic matter is divided into N / 2 streams, the saponification organic matter obtained after stream division is introduced into saponification sections, the first stream of saponification organic matter is introduced from the first stage of a rare earth saponification section, and rare earth feed liquid is introduced from the last stage of saponification section; and adjusting the shunting proportion of each strand according to the working condition of the rare earth saponification section, controlling the shunting proportion of the first strand of saponification organic matters to be 25-35% of the total flow of the saponification organic matters, and controlling the shunting proportion of the residual saponification sections to be not lower than 15% of the total flow of the saponification organic matters. According to the method, the saponification organic phase is subjected to proportion optimization shunting and introduced into different positions of the rare earth saponification section, local Ca < 2 + > concentration gradient peak clipping is achieved, Ca < 2 + > is distributed in a system in a balanced mode, and therefore the CaSO4 precipitation generation risk is remarkably reduced.

The application discloses a numerical simulation calculation method for a reactive solute migration process in a porous medium and relates to the technical field of simulation calculation, and comprises the following steps: in a strong concentration front rapid advancing stage, collecting solute concentration gradient distribution data and flow velocity variation trajectory data, marking a concentration gradient sudden increase section according to a time advancing sequence, extracting a spatial section corresponding to an abrupt change range, and forming a front high sensitive area positioning result; based on the front high sensitive area positioning result, carrying out local grid refinement division on the corresponding spatial section, and simultaneously compressing a time advancing interval, and carrying out concentration evolution calculation in the refined spatial section. Through positioning the front high sensitive area and implementing local grid refinement and time compression, in combination with monotone preservation and directional consistency constraint, the application inhibits negative values and oscillation diffusion; further through dynamic boundary backtracking and neighborhood weighted replacement, the application restores the pollution front position, and improves the prediction stability and risk assessment reliability.

The invention relates to a multi-concentration flow-rate-controllable micro-fluidic chip for zebra fish preference behavior analysis. The micro-fluidic chip comprises a glass base layer and a polydimethylsiloxane layer, wherein the upper part of the polydimethylsiloxane layer contains an integrated chip structure. The chip structure comprises a first chip for controlling concentration gradient, a second chip for realizing dynamic regulation and control of flow velocity and a third chip for observing zebra fish behaviors, and the three chips are connected in sequence to analyze zebra fish preference behaviors. According to the invention, a three-chip integrated design is adopted, and the first chip generates fluids with various concentrations by using a concentration gradient generator with uniform hierarchy distribution; the second chip is provided with a permanent magnet in a fluid channel, an equal-flow-resistance path is constructed, and path switching and the flow proportion of fluid with different concentrations are adjusted to control the flow speed; the symmetrical cavity structure of the third chip enables the concentration-flow velocity combined fluid to be uniformly distributed, and a multi-region environment gradient is formed. The design overcomes the limitation of single regulation and control in the prior art, can cooperatively regulate and control the concentration and the flow velocity, simulates a multi-factor coupling scene, and expands the zebra fish preference behavior research dimension and reliability.

This invention provides a colorimetric detection method and related apparatus for meat freshness based on a dynamic reference library. The method includes: acquiring a test strip image and meat type information of the meat sample to be tested; determining the region of interest (ROI) of the test strip image, extracting features from the ROI to obtain a feature vector, wherein the feature vector is a feature vector composed of RGB feature values; calculating a predicted concentration value and a confidence index based on the feature vector and a user-defined dynamic reference library using a K-nearest neighbor regression algorithm, wherein the dynamic reference library is constructed based on the mapping relationship between concentration gradient values ​​and RGB feature values ​​of a standard color chart image set and freshness threshold ranges for different meats; and comparing the predicted concentration value with the corresponding freshness threshold range for the meat to determine the freshness level information of the corresponding meat sample. Based on this, this invention can achieve high-precision detection of the freshness of different meats.

The present application relates to the technical field of transformer fault detection, and provides an intelligent monitoring and analysis method and system for dissolved gases in transformer oil, which comprises obtaining the concentration time sequence of each gas, calculating the instantaneous concentration gradient of each gas, and calculating a gas correlation change matrix based on the instantaneous concentration gradient; according to the matching result of the gas correlation change matrix and a pre-defined fault mode template, and in combination with the instantaneous concentration gradient of the core gas, iteratively calculating the fault characteristic energy flow strength; dynamically generating a primary warning threshold and a high-level warning threshold according to the historical sequence of the fault characteristic energy flow strength; comparing the fault characteristic energy flow strength with the primary warning threshold and the high-level warning threshold in double-lag, and generating a potential fault state interval event; according to the potential fault state interval event and the gas correlation change matrix, determining the dominant fault gas combination and the energy release level, and generating a warning instruction according to a pre-set rule. The method helps to improve the recognition accuracy of transformer faults.

The invention belongs to the technical field of liquid metal corrosion numerical simulation, and particularly relates to a liquid metal corrosion simulation method based on a near-field dynamic reaction diffusion equation. By adopting a near-field dynamics method, the problems of heterogeneity, damage and the like can be naturally simulated; the corrosion process is regarded as a chemical reaction process, the relation between a reaction term and the current density and the overpotential can be directly obtained through formula derivation, the influence of the concentration gradient on the corrosion process is relieved, and the reversible reaction can be simulated; a phase change mechanism of autonomous evolution of the interface is combined, an autonomous moving solid-liquid interface is obtained, a random mechanism of mechanical key formation and fracture is introduced into a phase change model, and random characteristics in the random mechanism are described. According to the method, the influence of some parameters or conditions on the liquid metal corrosion process can be researched while the liquid metal corrosion process can be visually and physically described, and favorable help is provided for research in the field of liquid metal corrosion.

The application provides a precise positioning method for sewer pipeline leakage based on a concentration gradient color development principle, and comprises the following steps: S1, fixing a color development tape connected with a deployer in a manhole upstream of a pipeline, allowing the deployer to advance spirally along a central axis direction of the pipeline, and continuously releasing the color development tape in the process, so that the color development tape is radially and tightly pressed and fixedly attached to an inner wall detection area of the pipeline, and is arranged along a spiral track in the central axis direction of the pipeline until the deployer reaches a manhole downstream of the pipeline; S2, continuously injecting a tracer upstream of the pipeline; S3, activating a color development reaction of the color development tape under a sewage environment, so as to form a color development intensity gradient corresponding to a pipeline leakage point in a length direction of the color development tape, and the color development intensity gradient is positively correlated with a pipeline leakage flow; and S4, continuously scanning the color development tape by using a colorimetric analyzer method to obtain color development intensity, and determining the pipeline leakage point and leakage intensity according to the color development intensity and color development tape position information.

The present application relates to the technical field of peritoneal dialysis, in particular to a multi-bag independent control and intelligent circulation system of peritoneal dialysis equipment. The present application determines the correction residual amount based on the basic backflow residual amount and the basic perfusion residual amount adjusted by the flushing effect of the backflow of waste liquid, and the weight change of each drug liquid bag before and after dialysis circulation and the theoretical ultrafiltration amount. The characteristic correction residual amount is determined based on the state parameter difference of each drug liquid bag dialysis cycle and several dialysis cycles before it. The target flushing amount after each drug liquid bag dialysis cycle is determined based on the characteristic correction residual amount and the concentration gradient difference of the adjacent two circulation drug liquids, and the next drug liquid bag output target flushing amount is controlled to flush the pipeline with the drug liquid, and the generated flushing waste liquid is guided to the previous drug liquid bag to start the next drug liquid bag dialysis cycle. The present application realizes dynamic and accurate quantification of pipeline residual, combines physical correction and personalized habit calibration, and improves the pipeline flushing effect.

The invention relates to the technical field of sewage treatment, and discloses a sewage treatment method based on water-solid-oil three-phase separation. The method comprises the following steps: applying a high-frequency pulse electric field in a multi-stage cyclone separation environment, and synchronously acquiring oil-phase film thickness distribution, suspended solid concentration gradient and water-phase flow velocity field data by using a laid multi-mode sensing network. And inputting oil phase and solid phase data into a dynamic response threshold model, generating an interfacial tension threshold for guiding the current separation stage, and adjusting the intensity and frequency of the high-frequency pulsed electric field according to the interfacial tension threshold so as to induce oil phase particles to realize controllable coalescence. Meanwhile, a separation efficiency topological graph is constructed based on the water phase flow velocity field and the oil phase coalescence form data, and then the fluid inlet pressure of the cyclone separation environment is dynamically adjusted. According to the method, through closed-loop intelligent control of sensing, decision making and execution, collaborative optimization of electric field parameters and fluid dynamic parameters is achieved, and the efficiency and adaptability of three-phase separation are improved.

The utility model discloses a bucket elevator for an extraction unit, which comprises a sealing bin, a bucket elevator, a transmission mechanism and a motor, and mainly aims to distribute medicinal materials of an upper-stage extraction machine in a semi-cylindrical groove in a concentrated manner due to the action of gravity after the medicinal materials enter the sealing bin, and the motor controls a driving chain wheel to rotate so as to drive the upper-stage extraction machine to rotate. The chain drives the lifting hopper to rotate at a constant speed, and the movement path of the lifting hopper is similar to the outline of the semi-cylindrical groove, so that the lifting hopper conveys materials at the bottom of the sealing bin into a next-stage extraction machine in batches, the materials are not prone to being left, and a solvent in the materials flows out along the through groove in the conveying process, so that the solvent in the materials is controlled to be at a low level; the concentration gradient required by countercurrent extraction is kept, redundant solvents can be recycled, and the economic benefit of medicinal material extraction is improved.

The invention discloses a preparation method for improving the transdermal absorption efficiency of a compound ketoconazole ointment. The preparation method comprises the following steps: step 1, pretreating raw materials; step 2, preparing an oil phase component; step 3, preparing a water-phase component; step 4, construction of a primary emulsification system; step 5, carrying out ultrasonic-assisted secondary emulsification; step 6, carrying out homogenization treatment; step 7, curing at constant temperature; and step 8, quality regulation and packaging. The ketoconazole is subjected to microcapsule embedding treatment by adopting a complex coacervation method, and the composite wall material not only improves the water solubility and dispersion uniformity of the ketoconazole and prevents drugs from aggregating in a matrix to form large particles, but also can protect the drugs from crystal transformation or degradation in the storage process and prolong the validity period of the preparation. The sustained-release effect of the microcapsule can enable the drug to maintain a stable concentration gradient on the skin surface and promote the drug to continuously penetrate through the skin barrier.

This invention discloses a neodymium iron boron (NdFeB) magnet, its preparation method, and its applications. The NdFeB magnet of this invention includes a first easily demagnetized region, a first transition region, a non-easily demagnetized region, a second transition region, and a second easily demagnetized region, sequentially distributed along a direction perpendicular to the orientation. All three regions—the first easily demagnetized region, the second easily demagnetized region, the non-easily demagnetized region, the first transition region, and the second transition region—are rectangular. By controlling the Tb content introduced by diffusion in the transition region, the easily demagnetized region, and the non-easily demagnetized region, as well as the Dy content in all regions, this invention can reduce inter-regional Tb diffusion caused by the Tb concentration gradient difference in the transition region. This reduces the attenuation of the surface magnetism and magnetic flux of the NdFeB magnet while maintaining its remanence, thereby improving the demagnetization resistance of the NdFeB magnet. Furthermore, by setting the easily demagnetized region, the non-easily demagnetized region, and the transition region to be rectangular, this invention can improve the demagnetization resistance of the four corners and the long side of the NdFeB magnet.

The invention provides a tunnel single-layer lining maintenance temperature and humidity space-time coordinated regulation and control method and system. The method comprises the following steps: firstly, acquiring a multi-section temperature distribution flow and a humidity concentration gradient field, acquiring wind speed and wind direction data and in-tunnel air pressure fluctuation data to generate a meteorological interference transfer function, then fusing the multi-section temperature distribution flow and the humidity concentration gradient field to generate a spatio-temporal evolution graph, and then constructing a time-varying boundary constraint. The method comprises the following steps: firstly, establishing a time-varying boundary constraint, then reconstructing longitudinal ventilation flow field characteristics based on the time-varying boundary constraint, synchronously resolving an equivalent age rate field, then establishing a real-time weight matrix, extracting a multi-target coupling operator, and finally generating a compensation instruction set according to the multi-target coupling operator to execute a cooperative compensation operation; according to the technical scheme provided by the invention, the core problems of humidity compensation failure caused by ventilation disturbance, temperature and humidity imbalance caused by hydration reaction lag and crack risk aggravated by surface and inside temperature difference in traditional zone control are solved, and the uniformity and long-term durability of early strength development of the single-layer lining structure are improved.

The invention relates to the technical field of concentration prediction, in particular to a thickener settlement area concentration distribution prediction method, which comprises the following steps: constructing a thickener numerical calculation model; extracting solid-phase pressure and solid-phase volume fraction of each height plane of the thickener after the flow field is stabilized, constructing an interface characteristic index curve based on the solid-phase volume fraction and gradient thereof, constructing a pressure gradient curve based on the solid-phase pressure and the solid-phase volume fraction, and finding out a clarification point and a gel point according to gradient change; dividing the fluid model into a clarification area, a settlement area and a compression area according to the clarification point and the gel point; and constructing a settlement area normalized height variable in the settlement area according to the clarification point height and the gel point height, performing nonlinear fitting according to the settlement area normalized height variable and the solid phase volume fraction, constructing a settlement area concentration distribution function, and realizing concentration distribution prediction of the thickener settlement area. According to the method, the settlement area boundary is precisely defined based on the concentration gradient characteristics and the pressure mutation characteristics.

The application provides an acid rock reaction rate determination method and device. The method comprises the following steps: determining the acid etching crack width of a work area based on the rock mineral composition, porosity and permeability of the work area; correcting the initial rock surface area participating in the reaction to obtain the rock surface area participating in the reaction of the work area by using the average pore diameter of the work area, the number of pores per unit area and the wall roughness coefficient of the crack formed by the reaction between the acid and the rock of the work area; determining the acid reaction volume of the work area based on the acid loss coefficient of the acid during the reaction between the acid and the rock of the work area, the reaction time between the acid and the rock of the work area and the volume of the acid injected into the work area; determining the H + diffusion coefficient of the work area based on the temperature of the reaction between the acid and the rock of the work area, the speed and concentration of the acid injected into the work area; and determining the acid rock reaction rate of the work area based on the acid etching crack width of the work area, the rock surface area participating in the reaction, the acid reaction volume, the H + diffusion coefficient of the work area, the speed and viscosity of the injected acid and the concentration gradient of the diffusion boundary layer.

The invention relates to a fluorescence and colorimetric dual-mode biosensing method for detecting caffeine and application thereof, the method causes CRISPR / Cas13a to regulate and control Fe-MOFs to fall off from a signal probe based on to-be-detected liquids with different concentration gradients, the fallen Fe-MOFs collapses under the action of sodium pyrophosphate to release 2-aminoterephthalic acid and ferric ions, and the 2-aminoterephthalic acid and ferric ions are subjected to fluorescence and colorimetric dual-mode biosensing method is used for detecting caffeine. 2-aminoterephthalic acid is converted into a fluorescence signal, meanwhile, Prussian blue generated by reaction of ferric ions and potassium ferrocyanide is converted into a colorimetric signal, and a fluorescence and colorimetric dual-mode biosensing method is constructed; according to the sensor, interference factors can be effectively eliminated by outputting two detection signals and performing cross validation; the advantages of high sensitivity and wide linear range of a fluorescence method and the advantages of simple operation and visual result of a colorimetric method are combined, so that a target object can be accurately recognized, the lower detection limit can be reduced, and the accuracy of a quantitative result can be ensured; according to the sensing method, visual observation can be achieved, precise instruments are not needed, and good application value is achieved.

The application relates to a method and system for intelligent control of a submersible mixer based on multi-sensor cooperative monitoring, and relates to the field of sewage treatment. The method comprises the following steps: multiple-parameter sensors are arranged at the bottom, middle and top of a biochemical tank; the dissolved oxygen concentration, sludge concentration and flow velocity parameters in the biochemical tank are collected through the multiple-parameter sensors; the dissolved oxygen concentration gradient value, sludge concentration gradient value and flow velocity value between adjacent collection points are calculated according to the dissolved oxygen concentration, sludge concentration and flow velocity parameters; the first running parameter of the submersible mixer in the target area is adjusted to the first preset parameter based on the combination relationship of the dissolved oxygen concentration gradient value, sludge concentration gradient value and flow velocity value; the running effect after the adjustment of the running parameter is calculated according to the real-time data collected by the multiple-parameter sensors; and the second running parameter of the submersible mixer in the adjacent area is adjusted to the second preset parameter when the adjustment effect does not reach the preset effect. The method can improve the sewage treatment effect of the submersible mixer.

The present application relates to the technical field of concentration prediction, in particular to a kind of thickener sedimentation zone concentration distribution prediction method, comprising: constructing thickener numerical calculation model;Extract the solid phase pressure and solid phase volume fraction of each height plane of thickener after flow field stabilizes, construct interface characteristic index curve based on solid phase volume fraction and its gradient, construct pressure gradient curve based on solid phase pressure and solid phase volume fraction, find clarification point and gel point according to gradient change;According to clarification point and gel point, fluid model is divided into clarification zone, sedimentation zone and compression zone;According to clarification point height and gel point height, construct sedimentation zone normalized height variable in sedimentation zone, carry out nonlinear fitting according to sedimentation zone normalized height variable and solid phase volume fraction, construct sedimentation zone concentration distribution function, realize the concentration distribution prediction of thickener sedimentation zone.The present application accurately defines the boundary of sedimentation zone based on concentration gradient characteristics and pressure mutation characteristics.

The invention discloses a continuous flow neutralization system for strong acid wastewater and a control method of the continuous flow neutralization system. The continuous flow neutralization system comprises a primary neutralization unit, a secondary neutralization unit, a circulating unit and a control unit. In the first-stage neutralization unit, high-concentration alkali liquor is added through a static mixer, and the pH is roughly adjusted to 5.5-6.5 from 0.5-1.5 in combination with feed-forward and split-range control; the secondary neutralization unit adopts low-concentration alkali liquor and a buffer tank, and is finely adjusted to 9-11 based on final effluent pH feedback; the circulating unit enables part of effluent to flow back to the front end, and dilution and buffering of inflow water are achieved. According to the system, the problems of nonlinearity, hysteresis and control instability in the strong acid wastewater neutralization process are effectively solved by fusing graded neutralization, concentration gradient addition and multiple control strategies, and the control precision of effluent pH and the anti-interference capability of the system are remarkably improved.

The invention discloses a method for researching correlation between sweet substances in rose essential oil and a sensor based on an electronic nose, and belongs to the technical field of tobacco flavor detection.The method comprises the following steps that firstly, main sweet substances in the rose essential oil are added into cigarettes, and the content of the sweet substances in the rose essential oil is determined by combining sensory rating and grey correlation degree analysis; screening out aroma substances and other sensory qualities which are remarkably related to the sweetness; preparing solutions with different concentration gradients from the screened aroma substances remarkably related to the sweet feeling, scoring the odor intensity and testing the electronic nose to respectively obtain original response data values of the sensor to the aroma substances, and establishing linear correlation analysis through SPSS software to obtain the original response data values of the sensor to the aroma substances. Finally, finding out the electronic nose sensor with the strongest correlation with the sweet substances as WLSGF / A, wherein the correlation between the rose oxide and the WLSGF / A is the best; according to the method, mathematical statistics is combined with sense organs and the electronic nose, so that objective and efficient evaluation of the sweet aroma is realized.