888 results about "Multiple stages" patented technology

The invention relates to the technical field of hydrogen production, in particular to a bipolar plate runner structure-mass transfer efficiency parameter simulation optimization method. Comprising the steps that a flow channel structure is designed, specifically, a bipolar plate flow channel is constructed through a fractal tree-shaped network topological structure, the flow channel is composed of multiple stages of branch channels, the section size of each stage of branch channel is decreased progressively according to a self-similarity proportion, and a three-dimensional flow channel network with fractal dimensions is formed; multi-physics field coupling modeling: establishing a multi-physics field coupling model including fluid flow, electrochemical reaction and heat and mass transfer based on computational fluid mechanics and a finite element method, wherein the model considers a turbulence effect in a flow channel, interface impedance of a porous medium diffusion layer and reaction kinetic parameters at the same time; parameter sensitivity analysis: screening key parameters influencing mass transfer efficiency through orthogonal test design, including flow channel fractal dimension, branch angle, porosity and surface wettability parameters, and constructing a parameter response curved surface; the flow channel structure of the bipolar plate can be accurately optimized, and the mass transfer efficiency is effectively improved.

The invention provides a pole piece and a manufacturing method thereof, a rolling system and a secondary battery, and the manufacturing method of the pole piece comprises the following steps: coating slurry on a current collector and drying to obtain a dried pole piece; the difference between the thickness of the dried pole piece and the preset thickness after rolling is used as the total rolling reduction; the dried pole piece is subjected to continuous multi-stage rolling, adjacent two-stage rolling is carried out, the percentage of the rolling reduction of the previous-stage rolling in the total rolling reduction is larger than or equal to the percentage of the rolling reduction of the next-stage rolling in the total rolling reduction, and the sum of the rolling reduction of all stages of rolling is equal to the total rolling reduction; in the multi-stage rolling, the rolling reduction of each stage of rolling is gradually reduced on the whole; and the multi-stage rolling is cold pressing. According to the manufacturing method of the pole piece, the multi-stage rolling mode is adopted, the rolling reduction decreasing and roller gap adjusting mode is adopted, the diameter, roughness and hardness of the roller body are combined to adapt to different rolling reduction, and finally the consistency of stress release and the pole piece is achieved.

The invention relates to a heterogeneous cluster-oriented resource allocation method and device and a storage medium, and the method comprises the steps: executing a plurality of iterations of an initial model on a single node of each heterogeneous cluster, and obtaining the performance characteristics of the model; generating a plurality of parallel strategy combinations comprising the first parallelism degree and the second parallelism degree; generating a plurality of assembly line parallel combinations based on the first degree of parallelism, calculating the load imbalance rate of each assembly line parallel combination, and screening out N combinations with the minimum load imbalance rate from the assembly line parallel combinations; traversing the second parallelism degree and the micro-processing batch in each stage corresponding to each parallel combination to generate a plurality of stage strategy combinations; and calculating video memory occupation and execution time under each stage strategy combination, screening out K stage strategy combinations of which the video memories are smaller than or equal to a video memory threshold value and the execution time is shortest, and carrying out resource allocation on the heterogeneous cluster based on the stage strategy combinations. According to the invention, the problems of low training efficiency and low resource utilization rate are solved.

The invention discloses a deformable wing with the characteristics of large unfolding-folding ratio and high bearing capacity. The deformable wing comprises a bearing structure, a driving mechanism, a wing surface dimensional structure and an accessory structure, the bearing structure comprises a plurality of groups of telescopic mechanisms, wing ribs and corner boxes; the accessory structure comprises a mounting plate, and the mounting plate is connected with the machine body; each group of telescopic mechanisms comprises a plurality of stages of telescopic rods which are arranged along the chord length direction and are fixed on the mounting plate; the wing ribs are arranged in the wingspan direction and are connected with the multi-stage telescopic rods through the angle boxes to form a wing framework; the driving mechanism penetrates through the hollow parts of the wing ribs, and two ends of the driving mechanism are respectively connected with the mounting plate and the wing rib on the outermost side of the wing; the wing skeleton is externally coated with the wing surface dimensional structure to form a wing shape.

The invention discloses a lifting stage structure control system and method, and relates to the technical field of stage control, and the lifting stage structure control system and method comprises the steps: S1, collecting the multi-source state data of stage equipment in real time, carrying out the data preprocessing, and constructing a multi-source state database; s2, constructing a motion state space model, predicting a time sequence motion sequence at a future moment, judging whether stage equipment is overlapped or not, predicting a collision risk, and taking risk avoiding measures; s3, the obstacle avoidance priority of the stage equipment is judged, a stage equipment movement scheme is generated, and a control instruction is issued; s4, motion operation is executed, the health degree of motion execution of the stage equipment is evaluated in real time, and graded early warning measures are taken; s5, displaying the stage situation and risk based on the collision risk and health degree evaluation result, and generating an analysis report; the problem that potential collision risks cannot be avoided in time due to dynamic path intersection caused by cooperative operation of multiple pieces of stage equipment in a complex stage scene is solved.

The invention provides a three-dimensional point cloud segmentation method and system based on bidirectional fusion of a point cloud and an aerial view, and belongs to the technical field of three-dimensional scene environment perception, and the method comprises the steps: obtaining to-be-segmented original point cloud data; processing the obtained original point cloud data by using a pre-trained segmentation model to obtain a segmentation result; wherein the segmentation model comprises an encoder module, a backbone network and a fusion segmentation head. According to the method, a bidirectional fusion mechanism of the point cloud and the aerial view is provided, through interactive fusion of the point cloud and the BEV features in multiple stages, the expression ability of the model for local and global features is improved, the problems of fuzzy semantic boundary, difficulty in small target recognition and the like are remarkably improved, and the segmentation precision is obviously superior to that of an existing BEV method. Compared with a voxel method and a multi-representation fusion method, the method has the advantages that the weight of a calculation graph is kept light in structural design, compared with the voxel method and the multi-representation fusion method, the method has remarkable advantages in the aspects of parameter quantity and reasoning speed, precision and real-time performance are better considered, and the method is suitable for scenes with extremely high efficiency requirements such as automatic driving.

The invention discloses a plane matrix type high folding and unfolding bionic antenna truss structure with a negative Poisson's ratio effect, and relates to the technical field of space folding and unfolding mechanisms, the plane matrix type high folding and unfolding bionic antenna truss structure comprises a plurality of cell elements and a plurality of cell element connecting rods, transverse cell elements are connected through the cell element connecting rods, and longitudinal cell elements are fixedly connected through adjacent cell element cross beams; the cell element connecting rods are hinged to the cell elements on the two sides respectively, and the cell elements are three-level positioning inwards-concave hexagonal cell elements; the folding and unfolding antenna truss structure is in a folded state during launching, transportation and silent latency and is in an unfolded working state during on-orbit task execution, the high folding and unfolding ratio characteristic of the antenna provides bionic improvement inspiration for various urgent properties such as stealth and size reduction of a satellite antenna structure, the shape of the antenna folding and unfolding array can be changed in a multi-stage mode, and the antenna folding and unfolding array is suitable for large-scale popularization and application. Therefore, the functions of optimal frequency band adjustment, optimal area expansion, switching of different scanning ranges and the like are realized.

The invention provides an end-to-end intelligent system development method and system based on an AI large model. The method comprises the following steps: S1, receiving a system demand described by a user through a natural language; s2, analyzing the requirements through an AI large model and converting the requirements into formalized specifications; s3, automatically generating a system architecture and dividing components; s4, generating each component code in a recursive manner; s5, dynamically detecting and repairing the generated code problem; s6, automatically integrating all components to form a complete system; and S7, continuously optimizing the system based on system feedback or user feedback. According to the method, work of multiple stages such as demand analysis, architecture design, module division, code writing and testing is automatically completed, distributed integration and smart contract are performed, distributed integration verification is performed through a block chain smart contract and a graph database, data consistency, interface matching and security among components are ensured, the integration process is optimized, and the integration efficiency is improved. Cross-domain cooperation is achieved, and the development efficiency is high.

The invention relates to the technical field of PCB machining, and provides a tool compensation machining method and PCB machining device.The tool compensation machining method is used for machining a plate, machining of the plate has multiple stages, and the tool compensation machining method comprises the steps that the initial tool diameter of a tool before machining is detected, and an initial tool compensation value is generated; according to the initial cutter compensation value, a cutter is driven to execute first-stage machining; detecting the actual cutter diameter of the cutter and generating a first cutter compensation value under the condition that the cutter completes the machining of the first stage and the cutter is lifted; and according to the first cutter compensation value, the cutter is driven to execute second-stage machining. According to the method, self-adaptive dynamic compensation of tool abrasion can be achieved, the machining precision is guaranteed, and the machining quality and the automation level are improved.

Methods, systems, and apparatus, including computer-readable media, for multi-pass processing for artificial intelligence chatbots. In some implementations, a system obtains code or instructions generated by one or more artificial intelligence or machine learning (AI / ML) models, where the code or instructions specify criteria to retrieve data from a data source to respond to a prompt from a user. The system determines that the code or instructions specify multiple stages of data processing. The system generates a set of results from the data source based on the generated code or instructions, and obtains a response to the prompt that the one or more AI / ML models generate using at least a portion of the set of results. The system generates an interpretation statement that describes each of the multiple stages of data processing and provides output that includes (i) the response to the prompt and (ii) the generated interpretation statement.

The embodiment of the invention provides a numerical control machine tool control method and device, computer equipment and a storage medium. The method comprises the steps that in the process of controlling the numerical control machine tool to execute workpiece machining based on plan control data, actual machining state data of the numerical control machine tool are acquired; wherein the plan control data comprises control parameters of each stage after the processing rhythm is divided into a plurality of stages; performing comparative analysis on the actual processing state data and expected processing state data corresponding to the plan control data to obtain difference characteristic data corresponding to each stage; adjusting plan control data according to the difference characteristic data, and controlling the numerical control machine tool to execute the process of machining the workpiece based on the adjusted plan control data. By acquiring the actual machining state data of the numerical control machine tool in real time and comparing and analyzing the actual machining state data with the planned control data, the difference characteristic data in the machining process can be recognized in time, so that the control parameters are dynamically adjusted, and the machining precision and efficiency are improved.

Examples of the present disclosure provide a memory device, memory system, memory controller and operating method thereof. The memory device includes a memory cell with multiple storage bits, a preset number of the memory cells form one code word, and the multiple storage bits correspond to multiple pages respectively. The multiple stages include a first stage and a second stage. The peripheral circuit of the memory device is configured to: obtain a predicted valley voltage in the first stage in accordance with the corresponding first result at the target read voltage in the first stage; obtain the predicted valley voltage in the second stage in accordance with the predicted valley voltage in the first stage; and perform a first read operation on at least one code word with the predicted valley voltage in the first stage and the predicted valley voltage in the second stage.

A computer-implemented method for optimizing a video encoder. The method includes the step of defining a plurality of CUs of the video encoder that correspond to a plurality of stages. The plurality of stages includes at least a first stage, and a second stage immediately after the first stage. The method further includes the steps of providing a decision space of encoding parameters of the video encoder, and defining, for the second stage, a subspace being a subset of the decision space. The subspace contains b1 optimal decision paths from the first stage to the second stage, wherein b1 is defined as a beam size for the first stage. The b1 optimal decision paths are the b1 decision paths that have lowest accumulated cost among all decision paths from the first stage to the second stage.

The invention discloses an AI and numerical simulation combined large-span space steel structure damage identification method and system, and particularly relates to the technical field of building monitoring, and the method comprises the following steps: P1, according to a structural design drawing and material characteristics, constructing a large-span steel structure finite element simulation model, and simulating the response of the structure under various load and boundary conditions; p2, pre-training a damage identification model according to the obtained response data, and simulating multi-scale damage evolution in combination with numerical simulation data and experimental observation data; according to the method, the problem of no physical interpretation of a pure data driving model under complex working conditions is avoided, the credibility and engineering applicability of a prediction result are enhanced, the overall process characteristics of structural damage are effectively captured, early recognition and trend prediction are facilitated, the recognition performance under a small sample is improved, and the recognition efficiency is improved. Error accumulation and efficiency loss caused by multi-link splitting in a traditional method are avoided.

The invention discloses a large language model multi-agent end-to-end stowage method considering outbound equipment collaborative scheduling, which comprises the following steps: acquiring description data of a stowage task, and decomposing the stowage task into sub-tasks of multiple stages based on the description data; aiming at the first subtask, based on the description data of the first subtask, constructing a first model by utilizing a modeling agent, and generating a first code for solving the first model through a model code agent; aiming at the second subtask, based on the description data of the second subtask, constructing a second model by utilizing the heuristic intelligent agent, and generating a second code for solving the second model through the heuristic code intelligent agent; matching target codes from the first codes and the second codes according to the types of the sub-tasks, and executing the target codes according to the sequence of the sub-tasks to obtain a final container stowage plan. The method can meet the reality and feasibility and completely meet all complex requirements.

The invention relates to the technical field of river ice condition early warning, and discloses an ice plug prediction method based on fusion of a physical model and machine learning, and the method comprises the steps: obtaining and preprocessing the monitoring data of a to-be-predicted river reach; carrying out parallel calculation on a physical risk index based on a physical mechanism and a machine learning prediction probability based on data driving; performing weighted fusion on the index and the probability to obtain a basic risk index; then, performing multi-stage correction on the basic risk index based on the critical jamming condition and the river channel curvature to obtain a final risk index; and finally, determining and outputting an ice plug risk grade according to a preset threshold value. The mechanism definition of a physical model is combined with the ability of a machine learning model to capture a complex nonlinear relationship. By introducing critical jamming condition correction and river channel geometric feature reinforcement, the reliability of the prediction method under extreme working conditions is ensured, the applicability and prediction precision of the model to different river channel conditions are enhanced, and the comprehensive accuracy of a prediction result is improved.

The invention relates to the technical field of building capacity expansion, and discloses a multi-stage collaborative optimization green intelligent building capacity expansion planning system, which comprises a building evaluation analysis module, a capacity expansion planning design module, a construction management module and an operation maintenance module, and the building evaluation and analysis module comprises a current building situation diagnosis and analysis unit, a capacity expansion potential evaluation unit and a capacity expansion demand evaluation unit. According to the method, the current situation of the existing building is diagnosed and analyzed, and the maximum capacity expansion potential evaluation and the capacity expansion demand at the current stage are evaluated; generating a plurality of capacity expansion schemes, comparing and selecting the schemes, and selecting an optimal scheme according to requirements; digital management is carried out in the expansion construction engineering process, resource scheduling is optimized to meet construction requirements, and meanwhile construction quality and safety are monitored; and finally, intelligent operation and maintenance are carried out on the expanded building, energy efficiency optimization is achieved, collaborative optimization is carried out on building expansion in multiple stages, and a green intelligent building is achieved.

The invention discloses a standard cell library delay test system and a test method thereof, the test system comprises a primary pulse generator, the clock input end of the primary pulse generator receives a test enable signal and generates a start pulse signal; the clock input end of each stage of trigger is connected to the output end of the previous stage of trigger, and the clock input end of the first stage of trigger receives an operation result of a starting pulse signal and an output signal of the last stage of trigger through a logic OR gate; the test system further comprises a feedback control module including a first phase inverter and a logic AND gate, the first phase inverter negates an output signal of any one trigger in the first three stages of the delay chain and then performs logic AND operation with a global reset signal, and a dynamic reset signal is generated and connected to the reset end of the primary pulse generator. According to the technical scheme, the trigger delay chains connected in series in multiple stages and the feedback control module are designed, an additional reference clock path is not needed, and the circuit area is reduced.

The invention relates to the technical field of consumable management, in particular to a hospital intelligent consumable management cabinet system based on a multi-modal visual large model, which collects video data and weight change values of a management cabinet from door opening to door closing and screens out invalid video data through the duration of the video data. Therefore, the recognition accuracy in the application is improved. Besides, the optical flow information in the video data is extracted, and the optical flow information is utilized to identify the motion trail of the object in the video, so that the whole data is decomposed into a putting-in stage image frame when the hand of the user enters and a taking-out stage image frame when the hand of the user is extracted; and identifying the image frames of the two or more stages to obtain the type of the put-in article and the type of the taken-out article. In combination with the motion trail and the weight change value, the types and the number of the articles put in by the user and the types and the number of the articles taken out by the user can be accurately identified.

The invention relates to the technical field of logistics management, in particular to a dynamic monitoring method and system for logistics waybills, computer equipment and a storage medium. The dynamic monitoring method comprises the steps of obtaining logistics data of a plurality of stages of goods in the whole transportation process, starting to judge the logistics data of the stage after obtaining the logistics data of the first stage, if the logistics data of the stage is consistent with the logistics data set by the system, marking the logistics data of the stage as valid data, and if not, marking the logistics data of the stage as invalid data; and a manual verification program is started. And comparing the logistics data of the next stage. Obtaining comparison results of the four stages in sequence and performing judgment; if the logistics data of the four stages are all valid data, marking the logistics waybill as a real waybill; and if the logistics data of any stage is invalid data, marking the logistics waybill as an abnormal waybill. The authenticity of the transportation task is dynamically monitored by collecting information data of key nodes in the transportation process.

Various implementations disclosed herein include determining a timeframe for a data operation, splitting the data operation into phases, determining which phases can be concurrently performed with a phase of a different operation, and scheduling the operations based on both the timeframe and the determined concurrency.

The invention discloses a sound wave detection method and system for an underground pipeline, and the method comprises the following steps: 1, dynamically adjusting the detection height in the radial direction of a pipeline through a lifting adjustment device of a first sound wave detection mechanism, and enabling a sound wave transmitting end to adapt to the inner walls of pipelines with different pipe diameters; 2, a rotation driving device of a second sound wave detection mechanism controls a sound wave transmitting end to conduct multi-angle rotation scanning around the axis of the pipeline, and the circumferential area of the cross section of the pipeline is covered; 3, based on the pipeline inner diameter D, the material acoustic characteristics and the preset coverage rate eta, motion parameters are generated through a dynamic optimization algorithm; 4, collecting a reflected sound wave signal and carrying out multi-stage processing; through the implementation of the method, a dynamic optimization algorithm of full-dimensional scanning coverage enables the screw pitch error of a spiral track to be small, 100% non-blind area coverage of the cross section of the pipeline is achieved, the self-adaptive focusing lens controls the sound beam focusing angle error to be within + / -2 degrees, and the detection sensitivity of the thin-walled pipe is improved.

The invention relates to the technical field of van control, in particular to a curve speed control method, device and equipment of a van and a storage medium, and the method comprises the steps that data of the van and curve data of a curve to be entered are determined, and the moving distance of the van is obtained in real time; according to the moving distance and the curve data, it is determined that the carrying vehicle is located at one stage of multiple stages in the curve, and according to the stage where the carrying vehicle is located at the curve, the speeds of front wheels and rear wheels of the carrying vehicle are distributed differently. According to the steps, the data of the carrier and the curve data are determined, the moving distance is obtained in real time, curve operation is divided into continuous stages such as curve-in transition, curve-out transition and the like, the speed is distributed according to the track sections where the front wheels and the rear wheels are located in each stage, and the speed of the front wheels and the rear wheels is matched with moving in the current stage; and asynchronous movement caused by forced same speed is avoided, and the smoothness of the carrying vehicle running on a curve is realized.

The invention discloses a laser round pipe cutting machine with a slag suction device, and relates to the technical field of metal cutting machining equipment, the laser round pipe cutting machine comprises a device base, a multi-station clamping structure is arranged on the upper portion of one side of the device base, and an adjustable cutting structure is arranged on the side, close to the multi-station clamping structure, of the device base; a waste residue recycling structure is arranged on the side, close to the adjustable cutting structure, of the device base. The linkage mechanism is driven by the first servo motor through the clamping end, the clamping blocks are driven to be opened and closed synchronously, different pipe diameters are adapted, multi-station stable clamping is achieved, stable feeding is guaranteed through the auxiliary rolling wheels, and the machining stability is improved; the cutting end is subjected to multi-stage linkage and multi-dimensional adjustment, the laser head can be accurately aligned to the machining position, and the high-precision and complex cutting requirements are met; the waste residue recycling structure achieves automatic all-dimensional cleaning, waste residues are prevented from influencing machining, manual intervention is reduced, the equipment adaptability, machining precision and production continuity are greatly improved on the whole, and cost is reduced.

The invention relates to the technical field of steel pipe machining, and discloses inner wall multi-stage polishing machine equipment and a method thereof.The inner wall multi-stage polishing machine equipment comprises two bases, and the side edges of the two bases are connected through bolts; the polishing mechanism is used for grinding and polishing the inner wall of the steel pipe through a polishing piece in the polishing mechanism; the adjusting mechanism is arranged on one base, and the adjusting mechanism is in transmission with a second straight gear through a mounting shaft in the adjusting mechanism to drive the corresponding polishing mechanism to move and adjust the position; according to the polishing device, the adjusting mechanism is arranged, the polishing mechanisms with polishing pieces of different mesh numbers are installed on the sliding plates in the multiple mounting grooves in the mounting cylinder correspondingly, the driving mechanism drives the mounting shafts in the mounting grooves to rotate to drive the sliding plates to move up and down, and therefore the polishing mechanisms are driven to move up and down; polishing pieces of different mesh numbers can be attached to the inner wall of the stainless steel pipe, multi-stage polishing can be conducted on the inner wall of the stainless steel pipe, the polishing pieces of different mesh numbers can be switched conveniently, and the polishing effect is improved.

The invention discloses a preparation method of a heterostructure high-performance metastable beta titanium alloy capable of inducing a deformation mechanism in a multilevel and sequential mode, and belongs to the technical field of metal materials. The method comprises the following steps: firstly, carrying out hot rolling in a beta single-phase region to prepare a blank and crushing coarse grains; substructures such as twin crystals and martensite are introduced through cold rolling; and through short-time annealing in a beta single-phase region, a multi-stage heterogeneous lamellar structure composed of thick equiaxed crystal grains, deformation recovery crystal grains and fine recrystallized crystal grains in an alternating manner is successfully constructed. The characteristic that twin crystals and martensite induce different stresses under different grain sizes is utilized, during deformation, thick equiaxed grains firstly start a deformation mechanism, and then fine recrystallized grains are activated; and in the later period of plastic deformation, the interior of the primary deformation strip further triggers a secondary deformation mechanism. The unique behavior of'grading-time sequence 'activation of a multi-deformation mechanism along with the increase of the dependent variable enables the metastable beta titanium alloy to keep excellent plasticity, and meanwhile, the work hardening rate is remarkably improved.

The invention discloses a closed press machine which comprises a main body rack, the main body rack is provided with a supporting table used for containing a die and a sliding frame used for moving up and down to conduct pressing operation, the supporting table is provided with a die unit used for hot forging, and the main body rack is further provided with an adjusting unit. The adjusting unit is used for adjusting the descending distance of the sliding frame. The invention provides a closed press which performs feeding forging and pressing and controls the deformation quantity of a hot forging piece for multiple times during hot forging, avoids the product problem caused by overlarge deformation quantity, and meanwhile, after each time of forging and pressing, performs dumping operation on oxidized particulate matters in a die cavity to ensure that the die cavity is in a clean state during next time of forging and pressing operation, so that the product quality is improved. The manual cleaning time is shortened, the production efficiency is improved, and meanwhile the hot forging quality is ensured.

The application relates to a deposition chamber structure and an MPCVD device, and belongs to the field of diamond synthesis devices. The technical scheme is as follows: a deposition chamber structure comprises a base, a tubular quartz window is fixedly arranged on the base, an upper cover is sealingly connected above the quartz window, a metal ring is arranged outside the quartz window, a plurality of horizontally arranged and vertically arranged microwave feeding slits are arranged in the middle region of the metal ring, a resonant metal cavity is arranged outside the middle region of the metal ring, the resonant metal cavity is used for being connected with a microwave source, a growth base capable of multi-stage lifting is arranged in the quartz window, the dimension of microwave feeding is increased, a discharge area is coupled above the growth base to form a plasma with the characteristics of large size, uniform stability and high energy density, the growth base can be lifted in multiple stages, the deposition quality of a growth sample is optimized, the deposition area of the growth sample is expanded, and preparation of a high-quality large-size diamond crystal is realized.

The invention relates to the technical field of trailing suction dredger control, in particular to a trailing suction dredger mud door multi-level intelligent control method and system.The method comprises the steps that real-time working condition data of a trailing suction dredger and historical operation data of each mud door are obtained firstly, then the multiple mud doors are grouped according to the working capacity represented by the historical operation data, and the grouped mud doors are divided into multiple groups according to the working capacity represented by the historical operation data; and then according to the real-time working condition data, multi-stage control is carried out on the mud door. According to the method, mud doors are scientifically grouped based on comprehensive analysis of real-time working condition data and historical operation data, rapid response to tidal changes is ensured through a first-stage control scheme, the refinement degree of backfill deposition control is improved through a second-stage control scheme, and the opening degree of each mud door is dynamically optimized according to operation feedback through a third-stage control scheme. Through the multi-level control logic of grouping cooperation, grading adjustment and dynamic correction, the problems that in the prior art, drag suction hopper dredger hopper door control cannot flexibly respond according to the actual situation, and consequently the operation quality and efficiency are insufficient are solved.

The invention provides a flow line divider calculation method and system with variable precision and throughput rate, and the method comprises the steps: configuring divider parameters, which comprise dividend data bit width, divisor data bit width, a flow line clock cycle number, a cardinal number and a quotient set; multiple stages of divider units are constructed based on divider parameters, each stage of divider unit comprises a divider calculation unit and a register unit, and operation modes, including a serial mode, a pipeline parallel mode and an iteration parallel mode, of the divider are selected; according to the selected operation mode, the input path of each stage of divider unit is controlled, each stage of divider unit correspondingly generates a stage quotient value and a stage remainder of the stage, and the stage quotient value and the stage remainder of the stage are stored by the stage of register unit and serve as output data. And outputting a final quotient value and a final remainder corresponding to the division operation task until all divider units complete the calculation of the corresponding division operation task. According to the invention, the quotient selection method is optimized, and the performance of the divider is improved.