109results about How to "Continuity" patented technology

The invention discloses an intelligent production scheduling method for a long-period operation chemical device, which takes a real-time state of a production device and a predicted future health condition as one of important basis of production scheduling, combines a traditional equipment failure mechanism model with a GBDT algorithm, can predict an equipment health level at a future moment, and improves the production scheduling efficiency. Guiding the dynamic adjustment of the equipment load and the production scheduling; and then iterative optimization of the scheduling scheme is carried out by using an adaptive genetic algorithm, dynamic adaptive crossover probability and mutation probability adjustment is carried out on the scheduling scheme in the intermediate process, and the rate of convergence of the algorithm to a globally optimal solution is improved. From the aspect of application effects, the long-period operation characteristic of the large chemical device and the continuity and stability of the production process can be considered while the production efficiency and the cost are ensured, and a scientific and feasible technical implementation scheme is provided for the production scheduling of the large device of a chemical enterprise.

The embodiment of the invention provides a personnel behavior detection method based on multi-modal data and related equipment, and is applied to the technical field of image recognition processing. A to-be-processed video is acquired, and a to-be-processed image frame is extracted from the to-be-processed video. And extracting multi-modal data from the to-be-processed image frame by using a target detection algorithm, a target tracking algorithm and a human body posture estimation algorithm, wherein the multi-modal data at least comprises a personnel detection frame, a personnel image and a personnel posture feature map. And inputting the personnel detection frame, the personnel image and the personnel posture feature map into a pre-constructed abnormal behavior detection model to obtain a behavior detection result output by the abnormal behavior detection model. Image data is obtained from the video data, the personnel action has continuity, and the image data is close to an actual website scene; a multi-modal data fusion abnormal behavior detection model is used to make up for the data limitation and fusion suitability among the personnel image, the detection frame and the attitude feature, so as to improve the behavior abnormality recognition accuracy.

The invention discloses a transmission line disconnection fault identification method and device based on multi-stage current comparison, and the method comprises the steps: extracting the zero-sequence current data of a fault line and the tripping signal data and reclosing signal data of a protection device from a fault recording file or a protection recording file obtained from the two sides of the fault line, the fault process of the line is divided into a plurality of stages; calculating per unit values of the current fundamental frequency amplitudes of the two sides of the fault line in each stage by taking the maximum value in the current fundamental frequency amplitudes of the stage before the fault as a current amplitude reference value; and judging the disconnection condition of the faulty line based on comparing the per-unit value with the disconnection fault judgment coefficient kdx and the grounding judgment coefficient kjd. According to the invention, the fault process is divided into a plurality of stages, and each time period in which the line may be disconnected or grounded is fully considered; the method can efficiently and accurately judge the line breaking fault of the line and whether the condition of grounding after line breaking exists, and does not cause misjudgment with the grounding fault.

The invention aims at disclosing a magnesium hydride continuous production device and process, and relates to the technical field of magnesium hydride preparation, the magnesium hydride continuous production device comprises a sealing shell, a heating inner container, a power assembly, a feeding assembly, a discharging assembly, an inert gas replacement assembly and a hydrogenation inlet; the heating inner container comprises a side wall, a feeding end and a discharging end, a plurality of gas one-way valves are arranged on the side wall, a spiral propeller, a plurality of steel balls and / or a plurality of steel bars are arranged in the heating inner container, and a filter screen is arranged at the discharging end; a conical part and a recycled material port are arranged at the bottom of the sealed shell; the feeding assembly comprises a feeding lock hopper and a feeding pipe, and the feeding pipe communicates with the feeding end. The discharging assembly comprises a discharging pipe and a discharging lock hopper, and the discharging pipe is communicated with the discharging end; the method has the technical effects that the particle size of the magnesium powder is 10-300 microns, the particle size of the produced magnesium hydride is 50-800 nm, continuous feeding, continuous reaction and continuous discharging can be realized, large-scale production of the magnesium hydride is realized, and the hydrogen storage density of the magnesium hydride is not less than 7 wt%.

The invention discloses a side backward visual safety early warning method based on deep learning, and particularly relates to the field of safety early warning, comprising time region division, side backward data acquisition, side backward data analysis, comprehensive analysis and safety early warning. According to the method, comprehensive and real-time monitoring of the side backward safety of the target vehicle is achieved through the deep learning technology, potential safety risks can be found and early warned in time through refined time region division, multi-dimensional data collection and analysis, establishment of a comprehensive evaluation model and triggering of an early warning mechanism, and the safety of the target vehicle is improved. The method not only improves the running safety of the vehicle, but also reduces the accident rate caused by the lateral backward safety problem, provides powerful technical support for the safe running of the vehicle, and has important practical application value and popularization significance.

The invention discloses an unmanned aerial vehicle signal detection and identification method based on spectrum feature enhancement. The method comprises the following steps: firstly, carrying out time-frequency transformation on a received signal to obtain an original time-frequency graph; performing learning enhancement on the degenerated time-frequency graph by adopting a coding-decoding type deep neural network, and realizing noise suppression and structure recovery by combining pixel reconstruction, structural similarity and a texture perception loss function; and finally, performing target area detection and positioning on the enhanced time-frequency graph, directly outputting a structured result containing a time-frequency range, a category and confidence, and completing conversion from a frequency spectrum to a linkable engineering target. According to the unmanned aerial vehicle signal detection and recognition method based on spectrum feature enhancement, a spectrum feature enhancement mechanism is introduced before traditional spectrum analysis and feature recognition processing, and region-level detection and judgment are executed under the enhanced spectrum constraint condition; reliable discovery, positioning and identification of an unmanned aerial vehicle control link and an image transmission link in a complex electromagnetic environment are realized.

The invention provides an automobile door handle assembly tool based on digital twinning, and belongs to the technical field of automobile door handle production lines. The handle feeding mechanism comprises a first feeding disc and a first manipulator; the handle oiling mechanism comprises a three-axis movement driving assembly and a handle oiling assembly; the shell feeding mechanism comprises a second feeding disc and a second manipulator; the spring pin hitting mechanism comprises a third feeding disc, a third robot arm, a fourth feeding disc, a pin feeding assembly and a pin hitting assembly. The automatic assembling machine has the beneficial effects that the conveying mechanism drives the material base to move to different positions, automatic feeding and installing of handles, automatic oiling of the handles, automatic feeding and installing of shells, automatic feeding and installing of springs and automatic feeding and installing of pin shafts are sequentially completed, automatic assembling is achieved, production is made to be continuous, and the production takt is accelerated.

The embodiment of the invention provides an identity recognition method and device, equipment, a medium and a program product. The method comprises the following steps: acquiring an action sequence of biological characteristics; performing feature extraction processing on each biological feature map in the plurality of biological feature maps to obtain a feature vector of each biological feature map; carrying out fusion processing on the feature vector of each biological feature map to generate a fused feature vector; and performing identity recognition on the biological features based on the fused feature vector to obtain a recognition result. According to the embodiment of the invention, richer feature information of the biological features can be extracted, and the recognition accuracy and reliability of the object to which the biological features belong are improved.

The invention discloses welding equipment and method for a metal flexible film cylinder, which simplify the production process and realize continuous welding of the metal flexible film cylinder. The equipment comprises a feeding device and a welding device, the feeding device comprises a front material guide plate, a double-roller mechanism and a rear material guide plate; the front material guide plate is a feeding end, and the rear material guide plate is connected to a welding device; the double-roller mechanism comprises a pressing roller and a supporting roller which are arranged up and down, and an annular boss is arranged on the circumferential face of one end of the pressing roller. In the feeding direction, a guide groove opposite to the boss is formed in one side of the rear guide plate; the welding device comprises a cylindrical forming die, an upper welding wheel and a lower welding wheel. An included angle # imgabs0 # smaller than 90 degrees is formed between the axis of the forming mold and the straight line of the feeding direction of the feeding device, a spiral groove connected with the guide groove is formed in the circumferential face of the forming mold, a welding opening is formed in the track of the spiral groove, and the welding opening and the guide groove are collinear; the upper welding wheel and the lower welding wheel are arranged on the outer side and the inner side of the welding opening respectively and arranged along the tangent line of the spiral groove.

This invention relates to an underwater pipeline flaw detection robot, belonging to the field of underwater pipeline inspection technology. The invention comprises a main ring, a cleaning mechanism, a spring telescopic lever, a moving mechanism, a second spring, a drive mechanism, and a monitoring probe. A receiving groove is formed on the inner wall of the main ring. The cleaning mechanism is slidably connected to the receiving groove. The two ends of the spring telescopic lever are hinged to the cleaning mechanism and the moving mechanism, respectively. The spring telescopic lever is rotatably connected to the side wall of the receiving groove. The moving mechanism is slidably connected to the side wall of the receiving groove. The two ends of the second spring are fixedly connected to the moving mechanism and the side wall of the receiving groove, respectively. The drive mechanism is fixedly installed on the outer wall of the main ring, and the monitoring probe is fixedly installed on the top surface of the main ring. This invention allows the robot to be fitted onto the pipeline, improving its stability in water. The cleaning mechanism cleans the deposits on the pipeline, improving the flaw detection effect. The moving mechanism allows the robot to move in water while traversing flanges, enabling the robot to successfully complete flaw detection work.

The utility model relates to capacitor filling and sealing equipment which comprises a bottom table, a sliding table is arranged in the middle of the top end of the bottom table, hinge steering shafts are arranged on the two sides of the sliding table, a conveying hinge is arranged on the sliding table, poke rods are arranged at the front end and the rear end of the middle of the upper portion of the conveying hinge, and a plurality of poke grooves are formed in the front portion and the rear portion of the conveying hinge. Sliding rails are arranged on the separated sides of the sliding plates, first supporting plates are fixedly connected to the separated sides of the sliding rails at the front end and the rear end, second rotating rods are rotationally connected to the middles of the sides, away from the inserting shafts, of the sliding plates, first rotating rods are rotationally connected to the top ends of the second rotating rods, and first motors are arranged at the ends, away from the second rotating rods, of the first rotating rods; and an axe structure is arranged above the middle part of the conveying hinge. The conveying device has the advantages that a brand-new conveying structure is designed to replace a traditional structure needing to be started and stopped frequently, so that the efficiency is higher; and an axe structure is designed, so that the conveyed capacitor can be centralized, and filling and sealing errors are prevented.

The utility model discloses a kind of fumed silica powder airtight sampling device based on gas-solid separation, it relates to fumed silica production equipment technical field, it includes storage tube, product feed assembly, gas-solid separation component, sampling execution component and compressed air backflushing component;Product feed assembly contains feed channel and first valve, and connects product unpacking workshop pipeline and storage tube;Gas-solid separation component contains filter cartridge and gas circuit pipeline, realize gas-solid diversion and guide away impurity;Sampling execution component negative pressure sampling tube, air hole disc, fixed clamp and sampling bag, complete airtight sampling and residual cleaning;Backflushing component is connected with filter cartridge, and guarantee filter cartridge unobstructed.The utility model sampling device realizes airtight sampling in whole process, no powder leakage, sample purity is high;It is convenient to operate, and does not interfere with production main process, adapts fumed silica continuous production demand.

The utility model relates to the technical field of straw cutting-off, in particular to an agricultural harvesting straw cutting-off machine which comprises a cutting-off box. The device further comprises a hole plate and a crushing roller, a cutting-off box is fixedly connected, a cutting-off roller is rotationally connected into the cutting-off box, and a long blade is fixedly connected to the outer side of the cutting-off roller through a fixing block. Through the use of the long blade and the crushing roller, the controller controls the cutting air cylinder to drive the cutter to primarily cut moving straw, the cutting length can be flexibly adjusted, the single cutting load is reduced, the abrasion to the cutter is reduced, the primarily cut straw falls into the cutting box, the cutting roller rotates to drive the long blade to rotate, and the straw can be cut into the straw. The two crushing rollers rotate relatively, the straw is uniformly crushed into fine particles, the overall treatment efficiency of the straw is improved through three-stage cutting, the diversified market requirements are met, and the production efficiency is improved.

The invention relates to the technical field of inspection robots, and discloses a circuit inspection ground robot which comprises a vehicle body, double-shaft motors symmetrically arranged at the two ends of the bottom of the vehicle body, driving shafts arranged at the output ends of the two sides of the double-shaft motors, wheels arranged on the driving shafts and a camera arranged at the top of the vehicle body. The double-shaft motor works to drive the wheels to rotate so as to drive the robot vehicle body to walk, a camera is arranged to monitor and inspect a circuit, when the vehicle body encounters a muddy road, the vehicle body is driven to move by the camera, and when the vehicle body is driven to move on the muddy road, the vehicle body is driven to move by the camera. The clamping plates on the wheels can be moved out through the pushing assembly, the friction force between the wheels and the ground can be improved through the clamping plates, then the wheels can be prevented from slipping on a muddy road, the moving stability of the vehicle body can be improved, and routing inspection work can be conveniently conducted on a circuit.

The invention relates to the technical field of ultrasonic image analysis, and discloses an image detection method and system for prolonging the second birth process of double-fetal vaginal delivery and SPPH risk based on ultrasonic Speckle-tracing, and the method comprises the steps: obtaining an ultrasonic two-dimensional gray-scale image sequence; marking a conjoint analysis area between the cervical wall and the front and rear walls of the vagina; constructing a joint area displacement field; constructing a joint region strain trajectory; extracting parturition process characteristic indexes; and executing risk assessment through a fuzzy rule. The technical problem that in the prior art, risk judgment depends on clinical experience, and especially under the condition that continuous stretching occurs on the cervix uteri and vagina combined wall in the second birth process of double-fetal vaginal delivery, early recognition of the evolution process of the tissue from reversible stretching to irreversible instability is difficult to achieve is solved. Due to the fact that joint area displacement field modeling and logarithmic nonlinear strain analysis are introduced, quantitative characterization and continuous risk description of the mechanical behavior of the tissue in the labor process are achieved.

The application discloses a kind of coronary angiography three-dimensional reconstruction method and system, it is related to medical image processing technical field, including: obtaining multi-angle coronary DSA angiography projection image and executing pre-processing, extract blood vessel initial center line and both sides initial contour, calculate each section contrast agent relative concentration, combined with blood vessel local curvature, concentration difference sign change and anatomical feature adaptive segmentation blood vessel section, filter reliable reference side and generate mirror virtual contour, calculate three kinds of contour deviation, construct multi-constraint objective function and correct center line section by section, integrate corrected center line and fit lumen parameter, solve blood vessel feature point three-dimensional coordinate and complete three-dimensional reconstruction.The application has the advantages that: effectively suppress the center line deviation caused by contrast agent concentration uneven, consider correction accuracy and blood vessel form continuity, the size of three-dimensional model output is accurate, topological correct, can be directly used for clinical quantitative diagnosis and interventional operation planning.

The present application relates to big data platform security operation and maintenance and task scheduling technical field, specifically for the security operation and maintenance task scheduling method for big data intelligent platform, including: collecting business task dependency data, service level agreement data, historical business throughput time sequence data, real-time business load state data and the occupation consumption characteristic data of the to-be-scheduled security operation and maintenance task;Build the ideal business processing benchmark under the state of no operation and maintenance interference;Characteristic injection generates the theoretically interfered business state;Align to generate real deviation data and theoretical deviation data, evaluate the goodness of fit and generate the predicted business load state;According to the business capacity boundary, output the execution permission, suspended execution or forced termination instruction, and update the task disposal priority in the subsequent management period according to the actual execution business feedback data;The present application further improves the stability of long-term scheduling.

The invention belongs to the cross technical field of satellite gravity mechanics, hydrology and the like, and particularly relates to a method for obtaining GWSA based on a groundwater downscaling model driven by input and output variables of a homologous hydrological model and application of the method in ecological restoration. The method comprises the following steps: (1) screening input and output variables from a hydrological model through a PLSR model in combination with satellite observation data to obtain homologous groundwater downscaling model prediction variables; (2) constructing a non-stationary relationship between a predictive variable and a target variable under a relatively rough spatial resolution through a GWR model; (3) segmenting the land water reserves of the coarse pixels into fine pixels by combining the fine scale predictor with the established downscaling model; and (4) in each high-precision grid unit, contributions of other water reserve information are separated from the land water reserve information, so that a GWSA result under high spatial resolution is obtained. According to the method, the accuracy and credibility of a model output result are improved.

The application provides an energy-saving method and device, a terminal, network equipment, a chip and a storage medium, and relates to the field of communication. The method comprises the following steps: in response to the number of time units in which the terminal has not been continuously scheduled by a physical downlink shared channel (PDSCH) reaching a threshold, the terminal is controlled to operate in an energy-saving mode. Thus, the number of time units in which the terminal has not been continuously scheduled by a PDSCH is monitored, and when the number of time units reaches the threshold, the terminal is automatically triggered to operate in the energy-saving mode, thereby realizing an implicit energy-saving mechanism without the need for the network equipment to send explicit signaling. The additional control overhead and response delay caused by the transmission and analysis of the explicit signaling are effectively avoided, the energy-saving operation can be started immediately after the terminal actually enters an idle state, the invalid energy consumption caused by the terminal continuously monitoring a downlink control channel during the waiting period for the signaling is avoided, and the power consumption of the terminal is significantly reduced and the endurance time is prolonged.

The application discloses a water stop construction method, which can improve the continuity and strength of concrete at a water stop ridge, prevent the concrete at the water stop ridge from cracking, improve the waterproof effect at the water stop ridge and construction efficiency; the water stop construction method comprises the following steps: constructing a water stop steel plate on a structural layer; constructing an arc-shaped part on both sides of the water stop steel plate, the arc-shaped part is concave in an arc shape, and the arc-shaped part is located at a corner part of the structural layer and the water stop steel plate; constructing a waterproof layer on the surface of the structural layer, the surface of the arc-shaped part and the surface of the water stop steel plate; constructing a leveling layer on both sides of the water stop steel plate; and constructing a bonding layer on the top surface of the leveling layer, and constructing a plate layer on the top surface of the bonding layer.

The invention discloses an underground bit pressure measuring device and method. In the device, a bit pressure measuring device body is vertically arranged; the parameter measuring module is arranged at the bottom end of the bit pressure measuring device body to measure underground bit pressure parameters, and the electromagnetic wireless transmission and emission module emits the underground bit pressure parameters and corrects emission parameters of the electromagnetic wireless transmission and emission module based on second temperature information. The electromagnetic wireless receiving module receives the transmitted underground bit pressure parameter and corrects the receiving parameter of the electromagnetic wireless receiving module based on the second temperature information, and the pair of clamping blocks get close to each other along with the sliding block so as to clamp the vertical bit pressure measuring device body and get away from each other so as to release clamping of the bit pressure measuring device body; the inserting rod is provided with surface threads in threaded connection with the threaded groove. The device ensures that the measuring device is vertically and downwards installed, and meanwhile signal interference caused by the severe drilling environment is avoided.

This invention discloses a method for predicting the solubility of elemental sulfur, comprising the following steps: obtaining parameter information of the target gas and calculating the target gas density ρ; selecting a prediction model based on the target gas temperature T, and determining the model parameters based on the H2S mole fraction and the target gas density ρ: when 373.15K≤T≤433.15K, the prediction model is c=ρ k exp(a / T+b); When 303.15K≤T<373.15K, the prediction model is: where c is the solubility of elemental sulfur in the target gas, k, a, and b are model parameters, model parameter k is a function of T, and the low-temperature correction coefficient d; Based on the selected prediction model and the determined model parameters, the solubility of elemental sulfur in the target gas is calculated. This invention also discloses an elemental sulfur solubility prediction system, electronic equipment, and storage medium. The elemental sulfur solubility prediction method of this invention is applicable to the temperature span in the development process of acidic gas reservoirs, introducing a low-temperature coefficient in the low-temperature range to ensure prediction accuracy throughout the entire temperature range.

This application relates to the field of power trading technology, and provides an AI-based method and system for optimizing power trading decision-making strategies. After obtaining the electricity price sequence for the first day, a second day's electricity price sequence is obtained by performing time-series correlation prediction based on the first day's electricity price sequence and historical electricity price data. Candidate strategies are generated using mixed-integer linear programming based on the physical parameter set of the energy storage power station and the second day's electricity price sequence, employing both profit maximization and discharge maximization strategies. Profit statistics are performed on each objective priority strategy based on the first day's electricity price sequence and historical electricity price data to evaluate the historical profit win rate of each objective priority strategy. The optimal charging and discharging strategy is then selected from the candidate strategies based on the historical profit win rate. This application, through day-ahead electricity price prediction and charging and discharging constraint programming, ranks and filters candidate strategies based on historical profit win rates to obtain the optimal charging and discharging strategy that balances electricity price fluctuations and equipment constraints.

The invention belongs to the technical field of stamping machinery, and particularly relates to an electric machine part batch machining stamping machine which comprises a feeding conveying belt and a conveying conveying belt, a supporting frame is arranged above the conveying end of the feeding conveying belt, and the inner surface of the supporting frame is rotationally connected with a regular-hexagon-shaped station roller through a bearing; a plurality of positioning mechanisms are distributed on the outer surface of the station roller in an annular array mode, a stamping mechanism is arranged above the station roller, a material taking mechanism is arranged in front of the station roller, and a linkage mechanism is arranged between the stamping mechanism and the material taking mechanism. According to the electric machine part batch machining stamping machine, when a stamping shaft rotates, a transmission gear rotates, a linkage gear can be driven to rotate, when a stirring roller on one side of the linkage gear rotates into a clamping groove of a grooved wheel, a station roller can be pulled to rotate once, and the linkage gear is driven to rotate; and upper surface stamping, lower surface feeding and one-side material taking of the station roller are completed once in the intermittent time of the grooved wheel, so that the stamping equipment has continuity.

The invention discloses a super-long pile foundation internal force monitoring method based on FBG sensors. The specific main process of the monitoring method comprises the steps of point fixing, sensor installation, cable sleeving, demodulator reading and reading analysis. The fiber bragg grating (FBG) sensor is called an FBG sensor for short, and has the characteristics of simple structure, stable performance, narrow bandwidth, weak reflection, no need of a loop and the like, so that the FBG sensor is widely applied to various sensors. According to the FBG sensor-based ultra-long pile foundation internal force monitoring method, the FBG sensor is installed on a pile foundation reinforcement cage and permanently embedded in a concrete pile, an outgoing line and a connector sleeved with a protection pipe are reserved, optical fiber strain data are obtained through reading of an optical fiber demodulator, and then the pile foundation internal force is calculated. The FBG sensor is adopted to successfully achieve long-period monitoring of the internal force of the super-long foundation pile, the survival rate is high, stability is good, a loop does not need to be formed, the FBG sensor has wide application prospects in foundation engineering construction, and reference can be provided for performance monitoring of the super-long foundation pile.

The application relates to the technical field of video monitoring, and particularly discloses a video monitoring system for guaranteeing construction process safety, which comprises the following modules: a video recognition module: surface mark points and edge contours are acquired based on multi-angle video streams; a deviation acquisition module: local geometric deviations are acquired according to the surface mark points and the edge contours; a load acquisition module: a load spectrum is extracted based on environmental event records; a simulation module: time-domain dynamic response simulation is carried out based on the local geometric deviations and the load spectrum, and a contact stress time sequence curve is obtained; an analysis module: evolution characteristics of the contact stress time sequence curve are analyzed, and a contact stress peak value space distribution thermal diagram and a peak value reappearance interval sequence are generated; and an output module: a contact stress potential distribution diagram is acquired, and the contact stress potential distribution diagram identifies component connection parts with repeatedly appearing high stress. The application can reduce the possibility of safety problems caused by abnormal stress of components in the construction process.

The embodiment of the present invention discloses a training method, device, equipment and storage medium for a trajectory prediction model. The method comprises: performing smoothing preprocessing on each original training trajectory point in a pre-acquired training trajectory point set to obtain a corresponding target training trajectory point, and inputting the target training trajectory point into a pre-created original trajectory prediction model to obtain a corresponding target trajectory prediction model. The embodiment of the present invention, by performing smoothing preprocessing on each original training trajectory point in a pre-acquired training trajectory point set to obtain a corresponding target training trajectory point, and inputting the target training trajectory point into a pre-created original trajectory prediction model to obtain a corresponding target trajectory prediction model, can solve the problem of unstable trajectory prediction values ​​in an autonomous driving system, so that the final predicted trajectory coordinates have continuity and stability, improve the prediction accuracy while ensuring the reliability of the predicted trajectory.

The invention discloses a solid adsorption cycle carbon capture device and method, the device performs carbon capture through an alkali metal-based solid absorbent, and the device at least comprises: a fluidized adsorption reactor which is used as an adsorption reaction zone and has an adsorption bed layer at the bottom, and performs a fluidized adsorption reaction through carbon-containing gas introduced from the bottom of the adsorption bed layer; the lifting pipe is arranged in the fluidized adsorption reactor and serves as a hydration reaction zone; the upper end of the lifting pipe is higher than the adsorption bed layer, and the lower end of the lifting pipe penetrates out of the fluidized adsorption reactor and mixed gas of air and water vapor is introduced as fluidizing air for hydration reaction; and the regeneration unit is connected between the fluidized adsorption reactor and the riser and is used for carrying out regeneration treatment on the adsorbent particles subjected to carbon capture and recycling the adsorbent particles. According to the invention, the riser is arranged in the fluidized reactor, so that the performance of the adsorbent can be exerted to the maximum extent, and the treatment efficiency of carbon capture and efficient utilization of energy are effectively improved; the hydration reaction and the adsorption reaction can be respectively subjected to process strengthening, so that the efficiency of the hydration reaction and the adsorption reaction is effectively improved.

The present invention discloses a method and system for continuously estimating the flat root state of a satellite formation based on Kalman filtering. The method steps include: obtaining the state equation of the relative orbital elements of the satellite formation based on the relative orbital elements of the satellite formation; obtaining the observation equation of the relative position based on the state equation; predicting the intersatellite state of the satellite formation based on the observation equation; calculating the prediction error variance and the filter gain based on the state equation and the observation equation; obtaining the intersatellite state of the satellite formation based on the intersatellite prediction state, the filter gain and the error variance of the satellite formation. The system includes: a first calculation module, a second calculation module, a first state module, a third calculation module and a second state module; the present invention establishes the intersatellite relative orbital element equation, and then uses the Kalman filter estimation technology to recursively solve the filter gain and the error variance matrix in real time, thereby obtaining the intersatellite state of the satellite formation and overcoming the jump point after the instantaneous flat conversion.