64 results about "Distribution uniformity" patented technology

The invention discloses a fruit juice beverage production monitoring and early warning method and device, and relates to the technical field of food production, and the method comprises the steps: carrying out the correlation division of production nodes on a fruit juice beverage production line, and obtaining a heat and oxidation abnormal correlation node set; configuring a temperature sensor array at each thermal association node to monitor real-time temperature-time data and generate a first early warning signal; and monitoring dissolved oxygen data, a material turbulence state and pipeline pressure at each oxidation associated node, establishing an oxidation intake map sequence, predicting the total oxidation intake and distribution uniformity, and analyzing the influence of oxidation on quality indexes to generate a second early warning signal. The technical problems that in the fruit juice beverage production process, heat imbalance can damage raw material nutrition and affect the sterilization effect, and oxidation can cause color and luster deterioration, taste decline and shelf life shortening are solved, and accurate monitoring, abnormity analysis and early warning of quality related key factors in the fruit juice beverage production process are achieved; and the stable product quality is effectively guaranteed.

The invention relates to a polishing performance evaluation method and device and a polishing system for improving the polishing performance. The polishing performance evaluation method comprises the steps that the track lengths of all abrasive particles of a polishing disc are obtained; based on the track lengths of all the abrasive particles, calculating to obtain a track average value and a variance; and based on the trajectory average value and the variance, trajectory distribution uniformity is obtained through calculation. The wafer polishing device has the advantages that the rotating motion of the polishing disc unit and the linear motion of the polishing pad unit are combined, so that the wafer polishing uniformity can be improved, the polishing time is shortened, and the polishing efficiency is improved; the rotating motion of the polishing disc unit and the linear motion of the polishing pad unit are combined, so that uneven abrasion of the polishing pad unit can be avoided, the service life of the polishing pad unit is prolonged, and the cost is reduced.

The invention discloses a denitration system capable of automatically adjusting an ammonia spraying strategy, which comprises a data sensing layer and an execution layer, the data sensing layer comprises a plurality of measuring devices arranged at an inlet and an outlet of an SCR (Selective Catalytic Reduction) reactor, the execution layer comprises a plurality of ammonia spraying grids arranged along the section of a flue in a partitioned manner, and each partition corresponds to an independent ammonia spraying branch pipe; an adjustable flow control valve is arranged on each ammonia spraying branch pipe; the control layer is in communication connection with the data sensing layer and the execution layer, and the control layer comprises an advanced controller and is configured to receive real-time data of the data sensing layer and optimize the real-time data on the basis of a preset denitration model and an optimization algorithm; calculating the distribution uniformity index of the NOx concentration at the outlet of the SCR reactor and the target ammonia gas flow required by each partition of the plurality of ammonia spraying grids; and the distributed PID controller is connected with the advanced controller and is configured to receive the target ammonia gas flow of each partition and generate a control signal to drive the corresponding flow control valve, and the total ammonia consumption can be remarkably reduced under the same denitration efficiency.

The invention discloses a tight oil and gas reservoir horizontal well volume fracturing fracture network wave and volume prediction method, which comprises the following steps of: based on geological engineering parameters of a fractured horizontal well and microseism monitoring fracture volume data, calculating weight factors of each geological and engineering parameter by establishing a multi-factor evaluation model; aiming at a to-be-predicted fracturing section, combining the solved weight factor and the geological parameters of the perforation positions of the fracturing clusters in the fracturing section, and calculating a fracturing crack-making efficiency coefficient representing the distribution uniformity of fracturing fluid; multiplying the original micro-seismic monitoring fracture volume of the fractured section by the calculated fracture forming efficiency coefficient to obtain a corrected effective fracture network wave and volume; according to the method, the fracture forming efficiency coefficient is introduced to correct the original microseismic monitoring volume, the problem that prediction results of an existing method are generally large is solved, accurate quantitative prediction of the effective fracture network waves and the volume is achieved, and a scientific basis is provided for fracturing effect evaluation and scheme optimization.

The invention relates to a method for evaluating distribution uniformity of silicon in a CVD (chemical vapor deposition) silicon-carbon composite material. The method comprises the following steps: (S1) acquiring a scanning electron microscope backscattered electron image and a silicon element surface distribution diagram of a sample; (S2) carrying out binarization processing on the silicon element surface distribution diagram through image analysis software, and counting the area proportion sigma Si of the deposited silicon particles; (S3) combining the carbon mass fraction c% of the sample and the correction coefficient delta, and calculating the mass fraction w% of undeposited silicon particles; the correction coefficient delta is obtained through calibration: under the same imaging condition, selecting a region in which all particles are completely covered by a silicon signal and the number of complete particles is not less than 50 from a silicon element surface distribution diagram as a'complete silicon deposition region '; and carrying out the same binarization processing on the silicon particles, wherein the area ratio sigma Si0 of the silicon particles is a correction coefficient delta. The evaluation method provided by the invention has high accuracy, wide applicability and excellent measurement repeatability, and is a scientific and reliable quantitative analysis means.

The application discloses a kind of methods for measuring cooling tower water distribution system water distribution uniformity, it is related to detection technical field, including being set with one consistent and grid size according to filler water wave height selection test grid tube square matrix below water distribution system, each grid tube is equipped with electronic flow sensor through drain hose connection graduated cylinder below, through controller linkage valve and accurate timer realizes automatic synchronous start-stop sprinkling and data acquisition, and water volume data is wirelessly transmitted to data processing unit, the unit is based on formula calculation each point balance degree generates water distribution distribution thermodynamic diagram and diagnostic report including score, improvement suggestion, by the above scheme, water distribution uniformity this abstract concept is quantified, the measurement and multidimensional visual analysis of global synchronization, automatic accurate are realized, solve the defects that prior art lacks standardized detection means, difficult to locate problem and carry out effective comparison, provide reliable basis for cooling tower water distribution performance evaluation and optimization.

The application discloses a flow field uniform distribution device suitable for adjustable and retractable holes of a pulverized coal pipeline, which comprises a shell, a central blunt body arranged at the center of the shell, a first flow guide ring, a second flow guide ring and a third flow guide ring arranged between the shell and the central blunt body from outside to inside, and the first flow guide ring, the second flow guide ring and the third flow guide ring are connected together through support ribs and the shell; the central blunt body comprises a lip-shaped blunt body and annular blades arranged on the circumference of the lip-shaped blunt body, and the shell is provided with an air inlet and an air outlet along the axial direction. A plurality of annular airflow channels are formed between the first flow guide ring, the second flow guide ring, the third flow guide ring, the central blunt body and the shell. The application can improve the distribution characteristics of airflow after the adjustable and retractable holes of the primary air pipeline, improve the airflow distribution uniformity, meet the test requirements under the existing actual conditions, and thus improve the test precision and work efficiency.

The invention discloses a method for controlling roughness transverse distribution uniformity of a temper mill. The method comprises the following steps: S1, collecting process parameters related to equipment; s2, carrying out unit division and defining related parameters; s3, giving a calculation method for intermediate parameters required by rolling pressure calculation; s4, calculating strip steel outlet thickness distribution hi; s5, the elongation distribution epsilon i of the strip steel in the width direction is calculated; s6, calculating a roughness distribution value Rasi in the width direction of the strip steel; s7, setting an initial value F (X) 0 of a target function, and calculating a strip steel roughness control target function F (X); s8, if F (X) is smaller than or equal to F (X) 0, the step S9 is executed, otherwise, the roll bending force of the working roll is adjusted, Fw is made to be equal to the sum of Fw and delta F, and the step S4 is executed again; s9, if Fw is smaller than or equal to Fwmax, the step S10 is executed, and otherwise, Fw is made to be equal to Fwmax, and then the step S10 is executed; and S10, calculation is ended, and the optimal working roll bending force Fw is output.

The application discloses a kiln production line operation energy consumption data optimization collection and analysis method and system, relates to the technical field of data processing, and comprises the following steps: a kiln car displacement encoder and a pre-buried RFID tag generate a space-time tag; based on the kiln working condition, trigger data collection and obtain pressure fluctuation data; from the pressure fluctuation data, extract the residual oxygen associated component related to the combustion efficiency; when the kiln car enters the rapid cooling area, calculate the deviation of the current rapid cooling area temperature distribution uniformity and the historical reference value, if the deviation exceeds the deviation threshold, then apply the pseudo-random air volume disturbance with the same frequency as the rapid cooling fan; analyze the slope change of the exhaust smoke negative pressure recovery curve and the phase lag amount of the firing zone temperature fluctuation during the disturbance, and generate the air volume redistribution instruction when the slope is greater than the recovery threshold and the phase lag amount exceeds the phase threshold; when the correlation coefficient of the time domain characteristics of the residual oxygen associated component and the residual oxygen concentration change rate exceeds the correlation threshold, output the heat value compensation parameter to the combustion controller.

The invention discloses a carbon black production equipment control method and system based on a DCS (Distributed Control System), relates to the technical field of carbon black production control, and aims to solve the problem that the particle size fluctuation range of particles is increased. In granulation control, particle samples at an outlet of a granulator are selected and fed into a screening machine for multi-stage screening to obtain granulation distribution data; calling a target particle size interval of the quality control database, calculating a particle size quality score in combination with the distribution data, and classifying particle uniformity according to the score; when a classification result is in a coarsening state, collecting hearth gas pressure, analyzing a rising trend, obtaining an equivalence ratio to evaluate front-end dynamic characteristics, detecting quenching water inflow and a forward distance between a nozzle and a thermal peak position, analyzing rear-end inhibition characteristics, and selecting execution process driving regulation or reaction termination regulation by integrating the two types of characteristics; and real-time identification and targeted regulation and control on the carbon black granulation particle size coarsening trend are realized, so that the particle size distribution uniformity is ensured, and the product quality stability is improved.

This application provides a multi-view detection method and related equipment for the distribution and bridging degree of frost on suspension insulators, belonging to the field of intelligent monitoring technology for transmission lines. The method includes: extracting and registering the foreground of the insulator before and after icing from a group of images taken from multiple perspectives; locating the axial position range of each umbrella unit using the axial gradient distribution features of the ice-free reference image; extracting and quantifying the ice edge using the circumferential gradient saliency features of the iced image; defining and calculating multi-dimensional parameters such as the circumferential / axial distribution non-uniformity of the ice, the bridging degree of local umbrella units, and the overall bridging degree of the insulator string; and finally comprehensively evaluating the uniformity of the icing distribution and the bridging risk level, outputting a quantitative report and operation and maintenance decision recommendations. This application effectively overcomes the detection challenges of variable perspectives and complex lighting conditions in natural scenes through bidirectional gradient feature collaboration and multi-view adaptation mechanisms, providing accurate and reliable technical support for power grid icing prevention and disaster reduction.

The invention relates to the field of data analysis, in particular to a visual geologic model automatic construction method and system. Comprising the steps of calculating a feature expression degree based on a three-dimensional geologic model, and screening out a target mark point type; identifying candidate control points; generating a candidate type combination scheme, and determining an optimal combination type according to the distribution uniformity; determining candidate control points corresponding to the optimal combination type, forming an optimal control point set, and evaluating the credibility of the reference value; cross-image feature matching is carried out on the control points in the optimized control point set, and abnormal control points are eliminated in combination with reference value credibility to obtain a purified control point set; and constructing and visualizing a three-dimensional geologic model based on the purification control point set. The construction accuracy and efficiency of the geologic model can be improved.

The invention provides a method for predicting sorting of fermented sponge spicules through machine learning, which comprises the following steps of: analyzing the interaction strength of spicule structures and hypha attachment according to a deformation aggravation degree to obtain a potential rising level of a sorting misjudgment rate; if the potential rising level of the sorting misjudgment rate exceeds a preset rising level standard, the airflow intensity and the screen mesh aperture are obtained from historical data, the airflow intensity and the screen mesh aperture are adjusted according to the adhesion stacking risk, and a dynamic adjustment instruction set is obtained; the airflow intensity and the screen mesh aperture of the sorting equipment are adjusted by executing the adjusting instruction set, the state of the single-layer distribution bone needles adjusted by the sorting equipment is obtained, and the single-layer distribution uniformity of the bone needles is recognized; the final sorting parameters are applied to a sponge spicule sorting system to sort sponge spicules, single-layer distributed sponge spicules are obtained, and the stability of the sponge spicule sorting process is evaluated by analyzing the uniformity and the sorting misjudgment rate of the single-layer distributed spicules.

The invention discloses a method for characterizing water distribution uniformity of a porous material in water and application, and belongs to the technical field of porous material performance characterization. The method comprises the following steps: 1) constructing a porous material simulation system, inserting water molecules, and starting an NVT ensemble to carry out pre-balancing and finished product simulation; 2) calculating a coordination number function N1 (r) of oxygen atoms of water molecules based on the finished product simulation trajectory, and obtaining a first water molecule density rho1 (r) within a radius r range by combining the sphere volume; (3) subtracting N1 (r) and the sphere volume from the total water molecule number and the total volume of the system respectively, and calculating the second water molecule density rho2 (r) outside the range of r; and 4) calculating the density ratio R (r) = rho1 (r) / rho2 (r), and judging the uniformity according to the mean value of the R (r) within the range from 0.3 nm to half of the minimum side length of the box. The method realizes quantitative evaluation of water distribution uniformity, has the advantages of convenient operation, high quantification precision, wide applicability and reliable data, can be applied to performance evaluation of porous materials such as UiO-67 and graphene, and provides theoretical support for material design optimization in the fields of drying, atmospheric water collection and the like.

The invention discloses a dehydration equipment fault prediction and maintenance method and system based on edge calculation, and the key points of the technical scheme are that the method comprises the steps: obtaining water flow data and filter belt surface image data, and carrying out the preprocessing, and obtaining standardized water flow data and a standardized filter belt surface image; obtaining water flow turbidity and water flow distribution uniformity according to the standardized water flow data; inputting a multi-class semantic segmentation model according to the standardized filter strip surface image to obtain filter strip defects and corresponding quantitative indexes; carrying out collaborative diagnosis according to the water flow turbidity, the water flow distribution uniformity, the filter belt defects and the corresponding quantitative indexes to obtain a fault type; and executing a corresponding maintenance instruction according to the fault type. Through filter belt defect detection of a multi-class semantic segmentation model, a collaborative diagnosis mechanism and a priority judgment rule are constructed in combination with water flow characteristics, intelligent operation of dehydration equipment prediction and maintenance is realized, the accuracy of dehydration equipment fault prediction is improved, and the equipment operation stability and operation and maintenance efficiency are improved.

The invention relates to the technical field of particle control equipment, and discloses a uniform mixing and uniform distribution control device for coiled material particle spreading, which comprises a material box for feeding particle materials; a base; the regulation and control mechanism is used for regulating and controlling the particle materials in the material box; and the regulation and control mechanism comprises a uniform control device, a width control device and a material control device. According to the uniform mixing and uniform distribution control device for spreading the coiled material particles, the uniform distribution roller composed of the two half rollers (the first half roller and the second half roller) rotating oppositely is arranged, particle materials are automatically distributed in the left direction and the right direction to be thrown in the falling process, the distribution uniformity of the particle materials on the surface of a coiled material is effectively improved, and the uniformity of the particle materials is improved. And threaded sleeves in the width control device are matched with opening limiting frames, and the two threaded sleeves adopt opposite thread screwing directions, so that the two opening limiting frames can move relatively, the width of the discharging opening is adjusted, and the requirements of coiled materials with different widths or different sowing densities are met.

The invention relates to the technical field of weather prediction, in particular to a weather prediction method based on deep learning, which comprises the following steps: determining the category of a sub-region according to the number of current-domain rainfall stations and the number of neighborhood rainfall stations corresponding to the sub-region; determining to carry out state matching division or adjustment processing according to the category quantity ratio and the regional distribution uniformity; determining a target optimal area based on the number of drainage points of the adjacent areas and the terrain reference height or based on the fusion times and the terrain fusion difference value; determining a task category according to an inversion factor fluctuation ratio and confirming a distribution sequence according to a priority; and determining or processing the load based on the area span value for task distribution. According to the invention, the rainfall inversion task can be flexibly adjusted, and the rainfall inversion processing efficiency is improved.

The invention belongs to the technical field of flue gas denitration, and discloses an ultra-supercritical unit denitration system flow field optimization method, device and equipment and a storage medium, and the method comprises the steps: determining the position of a drift diameter separation guide plate in a trapezoidal variable-diameter flue through employing a denitration flue gas dynamic flow field model established based on a flue structure of a target denitration system, and carrying out the installation; the flue gas flow field distribution in the flue is optimized; the concentration of NOx in the flue gas is measured in different areas in real time in the optimized flue based on a multi-point mixing method; based on the output of an inlet NOx concentration real-time prediction model constructed by utilizing the NOx concentration data measured in real time in the partition, constructing an ammonia injection total amount prediction feedforward control algorithm; by means of the algorithm, the three-level valves are arranged in series, digital-intelligent cooperative control and adjustment of the ammonia spraying flow are achieved, the distribution uniformity of a flue gas flow field in a flue can be effectively improved, the NOx concentration measurement precision is improved, real-time accurate adjustment of the ammonia spraying amount is achieved, and therefore the denitration efficiency is improved.

The application discloses a carbon black production equipment control method and system based on a DCS system, relates to the technical field of carbon black production control, and is used for solving the problem of increased particle size fluctuation amplitude. In the granulation control, the granulator outlet particle samples are sent to a screening machine for multi-stage screening to obtain granulation distribution data. The target particle size interval of a quality control database is called and combined with the distribution data to calculate a particle size quality score. The classification of the particle uniformity is performed according to the score. When the classification result is a coarsening state, the furnace gas pressure is collected and the rising trend is analyzed to obtain the equivalent ratio evaluation front-end power characteristics. Meanwhile, the quenching water inflow and the forward distance of the nozzle and the hot peak position are detected to analyze the rear-end inhibition characteristics. The two types of characteristics are comprehensively selected to perform process driving regulation or reaction termination regulation, real-time identification and targeted regulation of the carbon black granulation particle coarsening trend are realized, and therefore, the particle size distribution uniformity is ensured and the product quality stability is improved.

The invention relates to a flow field simulation method of pre-alloyed powder for manufacturing orderly-arranged diamond saw blade blanks, which comprises the following steps of: establishing a three-dimensional simplified geometric model of a material distribution device, and establishing a simulation model by adopting simulation software; performing grid division on the internal space of the simulation model to create a powder domain in the internal space of the simulation model; defining and setting boundary conditions of a powder domain, and defining material attributes of the pre-alloyed powder; setting a temperature field, and creating a powder flow field-temperature field coupling model; initial conditions are set to initialize a powder flow field, and a solver is set for solving; and establishing a distribution uniformity evaluation index of the pre-alloyed powder, and evaluating the distribution condition of the powder. By adopting the scheme, the model can comprehensively consider the boundary condition, the temperature, the material attribute and the powder initial condition of the powder domain so as to more accurately and reliably simulate the flow track of the pre-alloyed powder in the powder flow field, and then an ideal powder flow field is obtained.

The invention relates to the technical field of carbon content detection, in particular to a soil organic carbon content prediction method based on big data, which comprises the following steps: determining whether the measurement process of spectral data of soil is qualified or not based on the distribution uniformity characterization value of the contact pressure between a test probe and the soil in the process of measuring the spectral data of the soil by a spectrograph; the contact pressure is adjusted; determining whether the in-situ spectrum curve is qualified or not based on the matching degree of the in-situ spectrum curve and the corresponding indoor spectrum curve; determining a correction mode of the in-situ spectrum curve based on the distortion characterization parameter of the in-situ spectrum curve; under the condition that the in-situ spectrum curve is determined to be qualified, synchronously acquiring remote sensing data and environmental data, preprocessing a plurality of data and extracting a plurality of characteristic values to construct a soil organic carbon content prediction model; and determining whether the model is qualified based on the output deviation, and optimizing a preset matching degree based on a model disqualification condition. According to the invention, the prediction accuracy of the model on the soil organic carbon content is improved.

The invention relates to the technical field of freeze-drying control, and discloses a rotary freeze-drying control method and system. The method comprises the following steps: acquiring temperature distribution data and vacuum degree data of each region in a freeze-drying cavity and thickness data of a material layer; according to the deviation degree of the thickness data of the material layer and a preset thickness threshold value, the freeze-drying state stability index is combined, and a freeze-drying process adjustment coefficient of each area is generated; constructing a dynamic thermodynamic model of the freeze-drying cavity by utilizing historical change rules of the temperature distribution data and the vacuum degree data; monitoring the adjusted data in real time, and updating the stability index and the adjustment coefficient; when the stability index reaches a preset threshold value, the rotating mechanism is triggered to operate, and material distribution uniformity data are synchronously collected; and based on the mapping relationship between the material distribution uniformity data and the rotation parameters, generating a rotation speed optimization instruction and feeding back the rotation speed optimization instruction to the rotation mechanism control system. According to the invention, accurate control and intelligent management of the freeze-drying process are realized.

The invention relates to the technical field of wind tunnel tests, solves the technical problem that the deposition flux of salt on the surface of a material cannot be accurately quantified in a wind tunnel test environment in the prior art, and provides a wind tunnel test method for quantifying the deposition flux of salt on the surface of the material. The method comprises the following steps: evaluating the salt mist spatial distribution uniformity in a wind tunnel salt mist test environment, and obtaining a target wind tunnel salt mist test environment meeting a preset salt mist spatial distribution condition; dynamically adjusting the spraying rate in the target wind tunnel salt spray test environment according to a preset target salt spray concentration value, and obtaining sedimentation liquid samples corresponding to preset sedimentation liquid collection positions in the target wind tunnel salt spray test environment; and carrying out sample analysis and parameter quantification on the sedimentation liquid sample to obtain key parameters for quantifying the deposition flux of the salt on the surface of the material. The method can accurately quantify the salt deposition flux on the surface of the material in a wind tunnel test environment.

The application discloses a kind of shield segment steel fiber concrete uniform feeding control method and device, it is related to concrete feeding control technical field.The shield segment steel fiber concrete uniform feeding control method, the following steps are included: slurry fluidity quantification;Feeding mixing uniformity quantification;Feeding supplement uniformity quantification.The application is quantified by the slurry fluidity of the initial data of feeding obtained, to determine whether there is first viscidity optimization demand, then based on the distribution uniformity quantification of the feeding mixing data obtained, to determine whether there is second viscidity optimization demand, finally based on the supplement uniformity quantification of the feeding supplement data obtained, to determine whether there is third viscidity optimization demand, reach the effect of improving the interference control timeliness of corresponding steel fiber content in concrete feeding process, solve the problem that existing technology exists in the interference control timeliness of corresponding steel fiber content in shield segment concrete feeding process.

Embodiments of the present application provide a surface treatment tool, a processing technology and a device, which are used to solve the problem of poor flow and distribution uniformity of the surface polishing liquid of the surface treatment tool, and the problem of adverse effects on the polishing quality and polishing efficiency of the workpiece to be processed. The surface treatment tool comprises a polishing layer and a groove structure, the groove structure is arranged on the surface of the polishing layer, and the groove structure comprises multiple layers of grooves arranged along the radial direction of the polishing layer. Each layer of grooves comprises multiple groove units arranged in an array along the circumferential direction of the polishing layer, and the adjacent two groove units are connected end to end. In the adjacent two layers of grooves, the junction of the adjacent two groove units of the groove located in the inner layer is connected with one groove unit of the groove located in the outer layer.

This invention belongs to the field of agricultural image processing technology and discloses a sensor distribution optimization method, a plant stem diameter measurement method, and a device for optical tomography of plant stems. The optimization method mainly involves determining the optimal detection range, and then measuring the plant stem diameter within this range. The specific steps are: 1. Acquiring the background light signal without placing the plant; 2. Acquiring the light signal from the plant stem; 3. Constructing a projection data matrix, obtaining the column vector of the projection data matrix through the background light signal and the plant stem light signal; 4. Performing image reconstruction to obtain a cross-sectional image of the plant stem; 5. Filtering and thresholding the cross-sectional image, calculating the total gray area, and then calculating the equivalent diameter of the plant stem using the total gray area. This method not only improves the light coverage density and distribution uniformity of the measurement area but also enhances measurement accuracy.

The application discloses a kind of based on electronic density and distribution uniformity Fractal dimension calculation method and general detection device, belong to material microstructure characterization technical field.The method determines material chemical formula unit total price electron number, theoretical dense density and molar mass, detects actual density and calculates porosity;Collect surface topography gray data, calculate electronic distribution uniformity by normalized variance;Total price electron number density is calculated, combined with fitting proportion coefficient, and the fractal dimension is obtained by general formula.The detection device uses modular architecture, including basic parameter input, density detection, uniformity acquisition, main control calculation and result output module, each module can be independently replaced, and the main control module is built-in core algorithm.The application does not need large microscopes, realizes fast, low-cost detection, adapts to various solid materials, wide protection range, easy industrialization, solves the problems of high cost, complicated process, poor universality and easy to avoid in prior art.

The present application relates to the technical field of hydraulic system monitoring, and discloses a hydraulic system online monitoring method based on multi-information fusion, wherein in the stage after hydraulic oil return stops, a historical oil return monitoring period is set, the oil foam in the oil tank is subjected to distribution uniformity analysis, the foam distribution uniformity result is evaluated, when the foam distribution is uneven, the oil foam breakage rate change in the historical oil return monitoring period is analyzed, the breakage rate stable period is screened out, only the period with stable change trend in the foam breakage rate change curve is retained, the breakage rate change fluctuation caused by uneven distribution of the oil foam is avoided, so as to interfere with the subsequent judgment on the dominant reason of the oil return change, and in the breakage rate stable period, the oil foam breakage rate is compared with the oil cooling shrinkage rate, the historical target monitoring period is determined, so as to consider whether the dominant reason of the oil return change is caused by oil foam breakage or oil cooling shrinkage in the breakage rate stable period.

The invention discloses a proppant injection strategy optimization method and system under multilayer fracture distribution. The method comprises the following steps: acquiring a static attribute set of a multi-layer crack, and inputting a pre-trained multi-scale coupling model to calculate a dynamic response potential set; based on the potential set, solving the problems of flow conductivity balance and effective filling volume maximization through a multi-objective optimization algorithm, and generating an initial injection parameter combination matched with potential of each layer; in the injection process, model parameters are subjected to inversion and online calibration through real-time monitoring data; and re-optimizing based on the calibrated model, generating an updated injection parameter combination, and adjusting field equipment in real time, including switching interlayer fluid or adjusting a propping agent particle size time sequence. According to the method, closed-loop intelligent optimization from design and perception to dynamic adjustment and optimization is realized, and the distribution uniformity and fracturing effect of the propping agent in the multi-layer crack are effectively improved.

The utility model aims to provide a vertical mill for crushing superfine slag powder, which comprises a mill, a feeding pipe is inserted into the side wall of the mill, a distributing component is arranged at the bottom of the feeding pipe, a first clamping cavity is formed between a discharging pipe and a conical circular ring, and a second clamping cavity is formed between the conical circular ring and a millstone. The utility model relates to the technical field of mining equipment, which is characterized in that a distributing component is arranged at the bottom of a feeding pipe, so that mineral aggregate flowing out of the feeding pipe is distributed through a first clamping cavity and a second clamping cavity, one part of mineral aggregate is uniformly distributed on a grinding disc through the first clamping cavity, and the other part of mineral aggregate enters a conical circular ring through the second clamping cavity; and the materials are uniformly distributed under the action of the conical ring and then fall onto the millstone. Due to the design, mineral aggregates are distributed and uniformly distributed before entering the grinding disc, and then are mixed, so that the distribution uniformity of the mineral aggregates on the grinding disc is greatly improved. The problem that in the prior art, mineral aggregate is not evenly distributed on the surface of the grinding disc is effectively solved.