33229 results about "Slurry" patented technology

The invention discloses a freezing and thawing stratum grouting numerical analysis modeling method and system, particularly relates to the technical field of hydraulic engineering numerical simulation, and is used for solving the problem of grouting parameter prediction inaccuracy caused by neglecting the dynamic coupling relationship between the thermodynamic behavior of a phase-change material and a seepage field and a damage field in an existing grouting model. A dynamic correlation system of phase change energy storage performance parameters and seepage field-damage evolution is established, a slurry diffusion path priority channel weight is corrected based on a freeze-thaw interface migration track, a bidirectional iteration equation of a seepage field and a diffusion migration field is coupled, and multi-physical field spatial-temporal scale cooperative solution is realized through a separated iteration algorithm; through multi-dimensional coupling of thermodynamic characteristics of the phase-change material, heterogeneous evolution of seepage paths and damage mechanical response, the prediction precision of the mechanical characteristics of the grouting stone body and the slurry diffusion range under the action of freeze-thaw cycle is remarkably improved, and the leakage and structural instability risks are effectively reduced.

The invention relates to the technical field of grouting simulation tests, in particular to a sandy gravel stratum catastrophe grouting prevention and control virtual-real blending collaborative test method and system, and the method comprises the steps: carrying out a grouting test on a sandy gravel stratum simulation model, and obtaining grouting parameters and monitoring parameters in the grouting process; based on the resistivity and the radar data, further obtaining a slurry diffusion path and a diffusion range of the area with the higher surrounding rock grade; based on the resistivity and the optical fiber sensing data, the slurry diffusion path and the diffusion range of the area with the low surrounding rock grade are further obtained; inputting the initial grouting parameters into the trained neural network model to obtain simulation data; carrying out preprocessing and alignment operation on the previous data, and carrying out fusion analysis; and according to the fusion analysis result, grouting equipment parameters and a grouting scheme are pre-controlled and adjusted. And real-time regulation and control of a grouting scheme and equipment are realized.

The invention discloses a self-adaptive grouting control plugging method based on mining-induced fracture real-time monitoring, and relates to the technical field of mine safety engineering and hydrogeology. Through cooperative work of the grouting mechanism, the data monitoring system, the data collecting and processing module and the self-adaptive control module, automation and intellectualization of grouting protection can be achieved, and through introduction of the fracture roughness coefficient and the time-dependent viscosity, rough fracture flow resistance and grout rheology and time-varying characteristics are quantified, and the grout diffusion radius calculation error is reduced. The data weight is dynamically adjusted through a micro-seismic travel time residual error and sound wave velocity field joint inversion algorithm in combination with a weighted robust LM algorithm, and accurate fracture positioning is achieved. And a PID gain compensation and saturation function mechanism is adopted, so that self-adaptive safe and efficient grouting is realized. The fracture dynamic state is monitored in real time through the multi-source data fusion technology, grouting parameters are dynamically optimized in combination with an intelligent algorithm, complex geological interference is effectively restrained, slurry waste is reduced, and efficient and accurate plugging of mining-induced fractures is achieved.

The invention relates to the technical field of water and fertilizer drip irrigation, in particular to a biogas slurry, water and fertilizer integrated drip irrigation machine. Comprising a filter cartridge which is coaxially arranged in the outer cylinder, a coarse filter screen, a fine filter screen, a first scraper blade and a second scraper blade are arranged in the filter cartridge, water permeable holes are annularly and uniformly formed in the outer side wall of a lower cavity, and a water outlet is formed in the outer side wall of the lower cavity. And a blow-off pipe communicated with the filter cartridge is arranged at the bottom of the outer barrel. By means of multi-layer fine filtering combination, biogas slurry is purified at an irrigation inlet, impurities are reduced, a drip irrigation head is prevented from being blocked, and the irrigation efficiency is improved; the rotary driving mechanism regularly drives the scraping plate to accurately scrape impurities, and automatic cleaning and discharging are achieved by means of the locking opening and closing device and the movable sealing plate; the flow guide cover optimizes biogas slurry dispersion, deals with unstable supply and reduces pipe inlet pressure.

The invention discloses an intelligent early warning method for pipeline blockage of a slurry circulation system of a slurry shield, which relates to the field of intelligent early warning, and comprises the following steps of: performing spatial-temporal feature analysis on a standardized multi-dimensional data stream, constructing a blockage feature knowledge graph based on pipeline position and time sequence correlation analysis, and generating a blockage feature vector through a graph neural network; based on the blockage feature vector, analyzing the dynamic change trend of particle distribution through a long-short-term memory network and predicting the particle blockage risk in combination with an acoustic signal, then performing adaptive judgment by fusing geological conditions and construction stage information to obtain a risk assessment result, and inputting the risk assessment result and the blockage feature vector into digital twinborn simulation to obtain the particle blockage risk. A blockage scene is predicted based on fluid dynamics and a particle sedimentation model, early warning parameters are adjusted through Bayesian optimization, and graded early warning signals are generated; according to the invention, by generating the blockage feature vector, the recognition capability of the early local abnormal propagation trend is enhanced, and a reliable basis is provided for accurately predicting the blockage risk.

The invention relates to a zirconia-based all-ceramic false tooth and a preparation method thereof. A core layer of the zirconia-based all-ceramic false tooth is prepared from the following components in parts by mass: 90 to 94 parts of ZrO2, 5 to 9 parts of Y2O3, 0.1 to 0.5 part of Al2O3, 0.01 to 0.5 part of Fe2O3, 0.01 to 0.5 part of Er2O3 and 0 to 0.2 part of MnO2, and a shell layer of the zirconia-based all-ceramic false tooth is prepared from the following components in parts by mass: 24.5 to 49.5 parts of CaCO3, 45 to 50 parts of SiO2, 0 to 25 parts of MgO, 0.01 to 0.5 part of Fe2O3, 0.01 to 0.5 part of Er2O3 and 0 to 0.2 part of MnO2. The preparation process comprises the following steps: performing dry pressing and isostatic pressing on raw materials of the core layer, presintering, and carving to obtain a zirconia-based false tooth biscuit; meanwhile, calcining raw materials of a shell layer, then adding deionized water, a dispersing agent and an adhesive, and carrying out ball milling and mixing to obtain calcium-magnesium-silicon-based ceramic slurry; and coating the calcium-magnesium-silicon-based ceramic slurry on the surface of the zirconium oxide-based false tooth biscuit, and sintering to obtain the zirconium oxide-based all-ceramic false tooth provided by the invention. The zirconia-based all-ceramic false tooth has good jade texture and is closer to the natural color of natural teeth.

The invention discloses a grouting method and system for enhancing strip mine slope stability, and belongs to the technical field of slope protection. The grouting method comprises the steps that early-stage data are pre-collected, and an analysis model is established; grouting is designed according to a model analysis result; a pressure-resistant grouting pipe is installed and connected with a grouting pump; grouting parameters are adjusted in real time according to feedback of the sensor; after grouting, all data in the grouting holes are analyzed; outputting a slurry permeation three-dimensional cloud picture, a stress change curve and a stability evaluation index; and storing all monitoring data and model parameters. A cyclic self-adaptive system is formed, it is ensured that the grouting process is efficient and accurate, the overall stability is improved for heterogeneous rock mass, dependence on a static geological report is reduced, and therefore the problem that grouting parameters depend on engineering experience or conservative of the static report is avoided.

The invention discloses an intelligent preparation and coating method for lithium battery electrode slurry in the technical field of information, which comprises the following steps: acquiring particle size distribution, specific surface area and chemical composition attribute parameters of a lithium battery electrode slurry raw material, and establishing a quantitative relation model among the slurry component proportion, rheological property and stability through an autonomous learning algorithm; adjusting the component proportion by adopting a dynamic optimization algorithm to obtain a slurry formula meeting a target attribute; feature extraction and classification are performed on the constructed data set, a decision tree algorithm is adopted to train and generate optimization rules and judgment logic of slurry preparation process parameters, a preparation process knowledge base is formed, and autonomous optimization of the process parameters is realized; aiming at the coating quality problem, slurry preparation process parameters are traced and analyzed, collaborative optimization of a slurry formula, a preparation process and coating parameters is realized through a human-computer interaction interface, and the production efficiency and the yield are improved while the electrode performance is ensured.

The invention provides a solid waste filling material ratio optimization method of a magnesium slag-steel slag composite cementing material, and relates to the technical field of solid waste filling. The method comprises the following steps: mixing magnesium slag, steel slag, desulfurized gypsum and mineral slag to prepare a cementing material, and carrying out pretreatment and physicochemical property analysis on raw materials by taking tailings and waste rocks as filling aggregates; then designing a cementing material proportioning scheme and carrying out strength test to obtain an optimal ratio of the cementing material; then considering different slurry concentrations and plastic-to-bone ratios, and carrying out an all-solid waste filling slurry rheological test and an all-solid waste cementitious body strength test; and finally, according to the two test results, establishing a multi-objective optimization model taking the on-way resistance and the filling material cost as optimization objectives and taking the strengths of cementitious bodies at different ages as constraint conditions, and determining optimal parameters of the full-solid waste filling material. According to the invention, resource utilization of the metallurgical solid waste and the mine solid waste is realized, the bottlenecks of high carbon emission and high cost of a cement-based filling material are broken through, and a solution is provided for co-processing of the mine solid waste.

The invention discloses a multi-mode perception and reinforcement learning engineering machinery intelligent regulation and control method and system, and belongs to the technical field of intelligent control and industrial automation. According to the system, stratum data within the range of 20-50 meters in front of a shield tunneling machine are collected in real time through multi-mode sensing equipment such as a distributed optical fiber sensor, a cutterhead vibration sensor and an electromagnetic wave radar, and original data are processed by adopting a wavelet-Fourier combined noise reduction algorithm; and inputting the processed multi-modal data into a reinforcement learning intelligent decision-making model based on a CNN-LSTM hybrid network architecture. The model is trained through a dynamic reward function, and weight coefficient combinations can be automatically switched according to different construction scenes. According to the system, parameters such as the rotating speed, the thrust and the grouting amount of a shield cutter head are regulated and controlled in real time through the self-adaptive control module, and the slurry utilization rate is increased through the gradient pulse grouting technology. The precision, efficiency and safety of shield construction are remarkably improved, and meanwhile energy consumption and construction cost are reduced.

The invention provides a tunnel grouting dynamic adaptive simulation method and system based on multi-physics field coupling, and belongs to the technical field of grouting simulation, and the method comprises the steps: obtaining original geological information, constructing a three-dimensional geological geometric model and a fracture network, constructing a multi-physics field coupling mechanism, and carrying out discrete solution; further predicting slurry diffusion and crack filling to obtain an isobaric envelope diagram and an early warning area, and simulating a grouting process; acquiring real-time sensor data, inputting the isobaric envelope diagram, the early warning area and the real-time sensor data into an adaptive parameter prediction model, dynamically updating the weight of the adaptive parameter prediction model according to the change of the real-time sensor data by adopting rolling training to obtain a prediction index, and constructing a feedback control chain based on the prediction index. Determining an optimal grouting parameter combination by adopting a particle swarm optimization algorithm; and the optimal grouting parameters are fed back to the simulated grouting process for automatic parameter adjustment, and the optimized grouting strategy is executed. The intelligent numerical values of the grouting parameters can be dynamically and adaptively adjusted.

A mining, releasing and filling process flow collaboration method for a nearly-upright super-thick coal seam belongs to the technical field of coal mining and comprises the following steps: dividing the nearly-upright super-thick coal seam into a plurality of sections, respectively establishing a low-level mining and releasing system at the bottom of each section, and respectively establishing a high-level filling system at the horizontal position of the top interface of each section; comprising a coal mining period and a filling period, after the low-position mining and caving system is established, coal mining and caving are carried out through a coal mining machine and a support in the coal mining period, in the machine following and support moving process, a novel support synchronously lays a separation net on a goaf, and after a filling step pitch is pushed forwards, the novel support unfolds slurry blocking cloth; then filling slurry is injected into the goaf through a high-position filling process roadway, a filling chamber and a filling hole in sequence, the stability of nearly upright surrounding rock is maintained, and it is ensured that the mining depth is safely extended; the method effectively solves the problems of difficulty in prevention and control of surrounding rock instability, difficulty in control of cutting type subsidence and low recovery rate of coal resources in the existing horizontal section fully mechanized caving mining method of the steeply inclined nearly-upright extra-thick coal seam.

The invention discloses a preparation method of a high-compaction lithium manganese iron phosphate positive electrode material, which comprises the following steps: placing a manganese source, an iron source and a phosphorus source in deionized water, stirring, carrying out primary high-speed ball milling, carrying out constant-temperature water bath, adding an oxidizing agent, stirring and oxidizing, and drying the slurry to obtain manganese iron phosphate precursor powder; carrying out primary sintering on the ferromanganese phosphate precursor powder to obtain a ferromanganese phosphate primary sintering material; putting the ferromanganese phosphate primary sintering material into deionized water, adding a lithium source and a carbon source at the same time, and performing stirring, secondary high-speed ball milling and drying to obtain lithium ferromanganese phosphate precursor powder; and carrying out secondary sintering on the lithium manganese iron phosphate precursor powder to obtain the high-compaction lithium manganese iron phosphate positive electrode material. The void ratio is well reduced and good carbon coating is realized by means of secondary grinding and secondary sintering, and compared with the prior art, the method has the advantages that good capacity can be maintained, the powder compaction density of the material can be improved, the conductivity can be improved, and the specific surface area of the material can be effectively reduced.

The invention provides a method and system for predicting the uplift bearing capacity of a mud mixed pile. According to the method, modeling is carried out by integrating geomechanics and monitoring data. The method comprises the following steps: firstly, acquiring geometric parameters of a multi-layer heterogeneous soil layer interface, constructing a database through a mechanical test, and improving the reliability by combining gradient recognition and cooperative verification of pile deformation and load data; dividing longitudinal segmentation units, adjusting anti-slip parameters to generate a space mapping table, establishing a debonding dynamic model containing an interlayer retardation effect, simulating a debonding expansion process, and outputting load evolution data. And judging the maximum load of the critical state based on data convergence analysis, and taking the maximum load as a predicted value of the uplift bearing capacity. According to the technical scheme, through dynamic parameter mapping and debonding process simulation, accurate prediction of the uplift bearing capacity of the pile foundation in a complex soil layer is achieved, and the defect that a traditional model is insufficient in characterization of interlayer heterogeneity and dynamic debonding behaviors is overcome.

The invention provides a shield tunnel construction period segment longitudinal dynamic floating prediction method, and relates to the field of shield tunnel segment floating prediction.The method comprises the steps that the static upward floating force and the dynamic upward floating force of a shield tunnel are calculated by considering the timeliness of slurry, and the characteristic of nonlinear change of the rigidity of a circular seam connector is considered; the method comprises the following steps: dividing bending-resistant and shearing-resistant deformation modes of a circular seam joint, further deducing bending rigidity and shearing rigidity of a tenon-type joint in each deformation stage, deducing a shield tail segment longitudinal floating prediction model of the circular seam joint in the shield tunnel construction period, and constructing a nonlinear iterative algorithm of shield tunnel longitudinal deformation according to the theories; and acquiring parameter data of actual engineering, and inputting the parameter data into the duct piece floating prediction model to obtain a duct piece floating value. By means of the method, accurate prediction of floating deformation of the shield tail segment in large shield tunneling can be achieved, an effective scientific basis is provided for large-diameter shield tunneling construction, the problems that parameter decision of shield tunneling machine operators is difficult, and the segment floating control effect is poor are solved, and structural diseases caused by too large floating of the shield tail segment are eliminated.

A grouting simulation test system and method for high-temperature water-rich filled fractures. The grouting simulation test system comprises: a water head intelligent sensing and adjusting module, a fracture medium intelligent simulation module, a double-liquid grouting module, a data analysis module, and an intelligent control module. The fracture medium intelligent simulation module comprises a water bath circulation temperature control unit, a fracture model (11), and an opening degree adjustment unit. The water bath circulation temperature control unit is arranged on upper and lower sides of the fracture model (11). Circulating water is provided in the water bath circulation temperature control unit, and the temperature of the circulating water is controllable. The fracture model (11) is formed by combining a plurality of model units. The opening degree adjustment unit is connected to the water bath circulation temperature control unit above the fracture model (11) and is capable of raising and lowering the water bath circulation temperature control unit. The present test system can achieve the study of a grouting diffusion mechanism under the coupling action of two or more factors such as different slurry properties, dynamic water flow velocity, dynamic water temperature, fracture medium multivariate factors, medium temperature, and filling conditions.

The invention discloses fiber-reinforced anti-crack concrete and a preparation method thereof, and relates to the technical field of building materials, the fiber-reinforced anti-crack concrete comprises the following raw material components: 310-450 parts of cement, 150-190 parts of water, 930-1200 parts of coarse aggregate, 630-800 parts of fine aggregate, 80-180 parts of mineral active admixture, 1.2-18 parts of multi-element composite fiber, 1.8-4.5 parts of polycarboxylic acid water reducer, and 20-35 parts of anti-crack synergistic system. Through a quaternary fiber system, a three-dimensional interlocking net-shaped crack-resistant framework is formed in concrete slurry, the problems that the single fiber reinforcement effect is limited, and the interface bonding force with a concrete matrix is insufficient are solved, and the crack resistance and the mechanical property of the concrete are improved.

The invention relates to a preparation method and application of a manganese ion doped modified ferric sodium pyrophosphate positive electrode material, and belongs to the technical field of sodium ion battery positive electrodes. The preparation method comprises the following steps: adding a sodium source, a phosphorus source and a carbon source into ethanol, uniformly mixing to form a mixed solution, sequentially adding an iron source and a manganese source into the mixed solution, uniformly mixing to form slurry, and drying the slurry to obtain precursor powder; calcining in a protective atmosphere to obtain a manganese-doped carbon-coated ferric pyrophosphate sodium material; the calcining conditions are as follows: heating to the temperature of 300-350 DEG C at the heating rate of 2-3 DEG C / min, carrying out first-stage constant-temperature calcination for 2-3 hours, heating to the temperature of 500-550 DEG C at the heating rate of 5-8 DEG C / min, and carrying out second-stage constant-temperature calcination for 10-12 hours. By doping the manganese ions, the electronic conductivity and the ion diffusivity of the ferric sodium phosphate pyrophosphate composite material are improved, so that the discharge capacity of the ferric sodium phosphate pyrophosphate composite material at high rate is improved, and the battery has relatively high cycle stability.

The invention discloses a goaf CO2 sealed storage warehouse construction and grouting filling fire preventing and extinguishing method, and belongs to the technical field of goaf filling. The goaf CO2 sealed storage depot comprises a CO2 storage depot unit, a solid waste filling column and inflation-grouting equipment, an inflation bag is arranged in the CO2 storage depot unit, the inflation bag is movably connected in the CO2 storage depot unit, the CO2 sealed storage depot is constructed in the goaf through the inflation bag, alkaline solid waste and mineralized slurry, and the storage depot is used for supporting a roof rock stratum and storing CO2. Large-scale recycling of the alkaline solid waste can be achieved through the sealed storage warehouse, the storage warehouse is used for supporting the goaf roof rock stratum and storing CO2, the roof rock stratum is prevented from collapsing and endangering mine production safety, CO2 emission is reduced, the greenhouse effect is improved, and cooperative treatment of goaf fire and CO2 storage is achieved.

The invention belongs to the technical field of metal powder preparation, and discloses a method for preparing silver powder through reduction of hydrazine hydrate with the adjustable particle size. The preparation method comprises the following steps that a first dispersing agent is dissolved in deionized water, a silver-ammonia solution and a hydrazine hydrate solution are sequentially added, stirring reaction is conducted, and nano-silver seed crystal sol is obtained; uniformly mixing the obtained nano-silver seed crystal sol with a hydrazine hydrate solution and a second dispersing agent to obtain a reducing base solution; adding a surface modifier into absolute ethyl alcohol, and uniformly dissolving to obtain a surface modification coating solution; preparing a silver-ammonia solution, adding the prepared silver-ammonia solution into the reducing base solution, then adding the surface modification coating solution, and stirring for reaction to obtain silver powder slurry liquid; and after solid-liquid separation, a solid phase is taken, washed and dried, and silver powder is obtained. The preparation method is simple in process, the particle size of the silver powder can be adjusted through the adding amount of the seed crystal, and the prepared silver powder particles are uniform in particle size distribution, high in dispersity and suitable for the fields of conductive silver paste, electronic packaging and the like.

The invention provides an ore pulp liquid level prediction method and system based on flotation froth dynamic characteristics and a storage medium, and relates to the technical field of flotation process production detection.The method comprises the steps that under the working condition of a flotation machine, flotation froth images and ore pulp liquid levels are continuously collected; performing texture feature extraction on each flotation froth image to obtain texture features, and generating a texture distribution coefficient from the texture features associated with the ore pulp liquid level; using a Sobel operator to identify the marginal area of each flotation froth in the flotation froth image, and carrying out comprehensive analysis to generate a froth distribution index; analyzing two frames of adjacent flotation froth images to generate a flotation froth dynamic deviation degree; and constructing an ore pulp liquid level prediction model, and predicting the ore pulp liquid level by using the ore pulp liquid level prediction model. The technical problem that the ore pulp liquid level cannot be monitored in real time in the prior art is solved.

The invention discloses a steeply-inclined nearly-upright extra-thick coal seam horizontal section fully-mechanized caving filling mining method, and relates to the technical field of coal mining. The method includes the following steps that the nearly-vertical super-thick coal seam is divided into different mining levels of 20-40 m, a low-position mining and releasing system is arranged at the horizontal position of the junction of a current section and a lower section, a high-position filling system is arranged in a top plate or bottom plate rock pillar at the horizontal position of the junction of the current section and an upper section, and the coal seam of the current section is mined through a fully-mechanized caving mining method; along with advancing of the coal face, a separation net and slurry blocking cloth are laid on the goaf through a net laying and slurry blocking support; a suspended cavity space detection characterization robot arranged in the high-position filling system is used for carrying out goaf space detection; the method comprises the following steps: dividing a nearly upright extra-thick coal seam into different sections for section mining, performing in-situ grouting filling on a subsequent mining space in the mining process, forming a stable filling interface in a goaf, fundamentally weakening stress concentration and reducing energy accumulation, and realizing collaborative proceeding of filling and coal mining.

The invention belongs to the technical field of intelligent testing systems, and discloses an intelligent testing system and method for abrasion of a filling slurry conveying pipeline based on big data, and the system comprises a pipeline testing module, a database module and a data analysis module. The database module comprises a multi-dimensional pipeline database and a preprocessing module, the database module receives and stores the pipeline signals transmitted by the pipeline testing module and constructs the multi-dimensional pipeline database, and the preprocessing module receives the pipeline signals and performs data preprocessing to form feature signals. According to the intelligent testing system and method for the abrasion of the filling slurry conveying pipeline based on the big data, the problems that abrasion monitoring of the filling slurry conveying pipeline is not timely, and the abrasion evaluation precision is generally lower than the actual requirement can be solved.

A multispectral combined method for online detection of slurry components in a mineral processing process, relating to the technical field of spectrum detection. The multispectral combined method comprises: collecting slurry samples having a gradient distribution of moisture content to serve as test samples, and using an NIR system to acquire near-infrared spectrum data of the test samples; performing spectral preprocessing on the near-infrared spectrum data, so as to reduce the interference of spectral noise on subsequent modeling, and establishing an NIR regression model for slurry moisture content; using an LIBS system to acquire plasma spectrum data of the test samples, and establishing an LIBS regression model for slurry concentration; substituting the NIR regression model for slurry moisture content into the LIBS regression model for slurry concentration, and optimizing an algorithm to realize model correction and compensation; and establishing a quantitative analysis model for slurry element content to realize LIBS and NIR multispectral combination. The multispectral combined method can effectively improve the online detection precision of slurry components in a mineral processing process and improve the accuracy of a regression model.

The invention provides an iron-based phosphate positive electrode material as well as a preparation method and application thereof. The preparation method of the positive electrode material comprises the following steps: reacting a mixed material containing metallic iron and a phosphorus source at normal temperature to 100 DEG C to form a solid-liquid mixture containing a phosphate iron salt compound; mixing the solid-liquid mixture with an acidity regulator, a carbon source and a sodium source, and sanding to obtain slurry; performing drying treatment on the slurry to obtain a precursor material; and sintering the precursor material under a protective atmosphere condition to obtain the iron-based phosphate positive electrode material. According to the method provided by the invention, the metal iron and the phosphorus source do not need to be mixed and completely dissolved to form a solution in the reaction process, and anhydrous iron phosphate does not need to be formed firstly, so that the method for preparing the iron-based phosphate positive electrode material is short in process and relatively low in requirements on reaction conditions, and is applicable to industrial production and large-scale production.

The invention relates to the technical field of engineering construction control, in particular to a self-adaptive control method and system for a cement mixing pile, and the method comprises the steps: setting the slurry preparation ratio parameter of a slurry preparation barrel of a feeding hopper according to the working information of the cement mixing pile, and conveying the prepared slurry to a slurry storage barrel of a discharging hopper; collecting a slurry static pressure signal of a slurry storage barrel of the blanking hopper, and monitoring the load dynamic characteristics of a stirring motor of the blanking hopper in real time in the stirring process; the slurry spraying quality parameters of the slurry are analyzed, and when the slurry spraying quality parameters reach the preset feeding standard, the slurry is conveyed to a slurry spraying pipeline to be matched with a cement mixing pile for pile forming work; when the guniting quality parameter exceeds the interval of the feeding standard, a real-time matching error is obtained; and generating a ratio correction instruction to correct the pulping ratio parameters. According to the invention, the dynamic closed-loop control of the pile forming quality of the cement mixing pile under the complex geological condition is effectively realized, and the industry bottleneck that the traditional open-loop proportioning system cannot respond to the slurry state change in real time is broken through.

The invention discloses an intelligent double-liquid grouting system and a grouting method. The system comprises a liquid A stirring barrel, a liquid B stirring barrel, a double-liquid grouting pump, a slurry mixer, a PID (Proportion Integration Differentiation) regulating valve, a control system, a flow meter, a pressure meter, a flow sensor and a pressure sensor. The liquid A and the liquid B are respectively prepared and then sent out by a double-liquid grouting pump, enter a slurry mixer to be compounded and mixed, and are injected into a target stratum through a directional grouting pipe. The system collects and analyzes flow and pressure data through a control system, and closed-loop regulation and control of grouting flow and proportion are achieved through PID regulation logic. The PID regulating valve has the functions of over-voltage current limiting and overflow prevention at the same time. The method is suitable for reinforcement and leakage treatment under a complex stratum in geotechnical engineering, and has the advantages of being high in matching precision, high in mixing efficiency, good in safety, high in adaptability and the like.

The invention relates to a thickener based on an intelligent control mixed feeding apparatus. The thickener comprises a thickening tank and a feeding assembly for adding a flocculant into the thickening tank. A rotating shaft is arranged in the thickening tank. The surface of the rotating shaft is provided with grease scrapers attached to the liquid surface of a slurry, and the grease scrapers can rotate along with the rotating shaft to scrape off grease on the liquid surface. In the present invention, stirring paddles are driven to rotate by means of the rotating shaft, so as to stir the slurry, so as to generate bubbles in the slurry, allowing grease particles to be attached to the bubbles and rise to the liquid surface. A sliding piece is driven to rotate by means of the rotating shaft, so that the scrapers are driven to rotate, and together with an inclined surface, the grease rising to the liquid surface is scraped off, so that the grease can enter a cavity along the inclined surface and a grease inlet to be collected, so that the function of removing grease is achieved, and the thickening effect is improved.

The invention discloses a scouring pile foundation reinforcement method based on an MICP curing technology, which comprises the following steps: acquiring initial environment information such as scouring pit parameters, water flow parameters, tide period and seawater salinity of a delimited area around a pile, and determining grouting parameters such as a grouting window period and a safe flow velocity threshold value and a matching numerical value of a bacterial liquid concentration, a urea concentration and a calcium ion concentration; a grouting assembly composed of a first grouting pipe and a second grouting pipe which are spliced up and down is arranged, and grouting holes are formed in the side wall of the second grouting pipe which is pre-buried in a soil layer; after MICP slurry is prepared according to blending parameters, the slurry is injected into a soil layer in combination with grouting parameters, and meanwhile, the grouting process is dynamically adjusted by monitoring the resistivity of a soil body in real time; and after grouting is completed, the assembly is dismantled, and supplementary grouting is conducted on the local area according to the detection result. According to the method, the accuracy and reliability of pile foundation reinforcement are achieved through environmental parameter adaptation, grout dynamic regulation and control and layered detection and reinjection.

The invention relates to the technical field of slurry valve design, and discloses a large-diameter slurry valve sealing structure design method and device suitable for a high-wear working condition, and the method comprises the steps: firstly obtaining key geometric parameters of a sealing structure, constructing a three-dimensional topological basic model and a mechanical property simulation model, and then carrying out the fusion to form a digital twin model; then constructing a wear morphology time sequence data set; meanwhile, three-level early warning threshold values are set for the key working condition parameters, a working condition risk grade division rule is established, and a real-time working condition risk grade is obtained according to the working condition risk grade division rule; and finally, based on the wear morphology time sequence data set and the real-time working condition risk level, constructing a wear evolution prediction model, and optimizing key geometric parameters of the sealing structure in combination with a digital twin model to obtain an optimal geometric parameter combination. Accurate prediction and optimal design of the abrasion state of the sealing structure of the large-diameter slurry valve can be achieved, the service life of the sealing structure under the high-abrasion working condition is remarkably prolonged, and the reliability of the sealing structure under the high-abrasion working condition is remarkably improved.