123results about How to "Avoid hysteresis" patented technology

The invention provides a real-time disaster situation multi-dimensional verification alarm method and system based on a large model, and relates to the technical field of disaster situation response, and the method comprises the steps: carrying out the backtracking and calling of multi-source disaster situation associated data after a disaster situation early warning signal is received, and obtaining a heterogeneous disaster situation data set; starting a dynamic task chain scheduling mechanism, executing multi-priority thread trend analysis, and outputting a multi-dimensional index analysis result; executing multi-dimensional index cross verification, and outputting a disaster verification conclusion; disaster decision making is carried out, and a disaster decision instruction is generated; carrying out township-level disaster situation grid positioning, and outputting a disaster boundary coordinate set; after the thermal rescue target spot is framed, geological disaster avoidance analysis is carried out, and a safety buffer area is positioned; and executing an alarm verification response. The technical problems that in the prior art, a disaster monitoring and early warning system mainly depends on a step-by-step reporting mechanism, so that disaster information transmission is lagged, accuracy is lost, and timeliness and accuracy of post-disaster rescue work are affected are solved.

The invention discloses a wind generating set risk early warning method, device and equipment in sand storm weather and a storage medium, and relates to the technical field of wind power generation, and the wind generating set risk early warning method in sand storm weather at least comprises the following steps: collecting multi-source meteorological data in a target area, judging whether a preset sand storm early warning condition is triggered or not according to the multi-source meteorological data; in response to the condition of triggering sand storm early warning, simulating the motion condition of sand and dust according to the multi-source meteorological data and the digital elevation model of the target area, and predicting to obtain sand and dust settlement distribution information in the target area; determining at least one to-be-protected generator set according to a preset wind generating set distribution diagram and the sand and dust sedimentation distribution information; and executing a protection control strategy on the to-be-protected generator set according to the multi-source meteorological data and the sand and dust settlement distribution information. The protection effect on the wind generating set in the sand storm weather is improved, and power generation output is guaranteed.

This invention relates to the field of ultra-high performance concrete (UHVPC) curing technology, and more particularly to an intelligent temperature-controlled curing method for UHVPC. The method includes the following steps: generating preliminary temperature-controlled curing data for concrete based on UHVPC mix proportion parameters and temperature-controlled curing requirements data; analyzing the distributed temperature field characteristics of the pouring nodes using UHVPC pouring node data to generate distributed temperature field characteristic data for the pouring nodes; analyzing the temperature evolution and hydration state of the pouring node temperature field based on the distributed temperature field characteristic data and the preliminary temperature-controlled curing data to generate temperature evolution and hydration regulation state data; and performing dynamic temperature-controlled curing analysis on the preliminary temperature-controlled curing data to generate dynamic temperature-controlled curing data for the concrete. This invention achieves intelligent temperature-controlled curing by combining the application of UHVPC.

The invention discloses an MICP intensity prediction method and system based on machine learning and multi-feature fusion, and relates to the field of solidified data analysis. An accurate quality prediction mapping model and an abnormal compensation parameter mapping model are constructed based on historical data; the system has the capabilities of predicting curing quality from process parameters and intelligently recommending an optimal disposal scheme from an abnormal state; by setting a dual-threshold quality control mechanism and a real-time abnormity monitoring and early warning system, various abnormal conditions in the curing process can be actively identified and timely responded, and complete closed-loop processing from parameter deviation detection to automatic compensation measure execution to hardware standby switching can be realized. The stability of the solidification process and the consistency of the engineering quality are effectively guaranteed, the requirement for manual intervention and the misjudgment risk are greatly reduced, powerful technical support is provided for standardization, normalization and industrialization development of the sand solidification technology, and the engineering efficiency and economic benefits are remarkably improved.

The utility model relates to continuous forming die technical field discloses a kind of continuous forming die inside turnover mechanism, including base, the top of the base is provided with turnover feeding mechanism, the top right side front end of the base is provided with cleaning mechanism;The turnover feeding mechanism includes fixed plate, the bottom of the fixed plate is fixedly connected at the top front side of base, the top of the fixed plate is fixedly connected with servo motor, the output end of the servo motor is passed through the front end of fixed plate and is fixedly connected with rotating shaft, the outer wall rear side of the rotating shaft is fixedly connected with fixed block.In the utility model, electromagnet energization generates magnetic force, and the parts are adsorbed on the poking rod, the rotating shaft is driven to rotate by servo motor, the poking rod is lifted from the groove with the parts, the rotating shaft drives the poking rod to continue to rotate one hundred and eighty degrees, and the parts are transferred from the upper side of the cutting-off lower die to the upper side of the burr-pressing lower die, to ensure that the turning angle is accurate, and avoid the angle deviation problem.

The present application belongs to the field of material support operation, and particularly relates to a material support pre-scheduling method and system. The method comprises: in the process of material scheduling, when a risk event occurs, the real-time value of the system situation assessment characteristic parameter is input into the trained system situation assessment neural network according to the set period to obtain the predicted total delay time length of the system operation completion; if the total delay time length is greater than the pre-scheduling threshold, the pre-scheduling scheme generation is triggered; the system situation assessment neural network is trained by the system situation assessment characteristic parameter value and the corresponding total delay time length in the training set; including the current number of warehouses in the system, warehouse inventory information, task demand information, resource state information, warehouse operation state information, current operation completion rate and current operation delay. Through the risk event related to the operation delay, the total delay that may exist is monitored in advance, and the pre-scheduling scheme generation is triggered in time.

The invention provides a method and system for accurately controlling the temperature of an adhesive production reaction kettle, and relates to the technical field of adhesive production, and the method comprises the steps: applying a transient heating pulse to the reaction kettle in adhesive production, collecting the surface temperature data of a container wall, processing the data, calculating a temperature decline curve, and extracting key information of heat transfer characteristics. A heat abnormal area caused by uneven mixing is identified based on spatial distribution of key information, and the thermal state change of the adhesive reaction degree is estimated in combination with a time change mode. And adjusting a heating pulse mode and a working state of the stirring device according to the abnormal area and the change mode, and introducing a pause detection stage to collect surface temperature feedback under weak heating pulses so as to confirm an adjustment effect. And finally, associating the key information with the reaction degree based on feedback to generate a temperature adjusting command, and adjusting the heating or cooling intensity, so that accurate control on the temperature of the reaction kettle can be realized, and the production quality and efficiency are improved.

This application provides a photovoltaic power quality monitoring method, system, device, and storage medium, relating to the field of power quality monitoring technology. The method includes: predicting the initial trend of power generation of the photovoltaic power generation system within a preset time period based on historical operating data of the photovoltaic power generation system; adjusting the initial trend based on environmental information of the photovoltaic power generation system to generate a first trend of power generation of the photovoltaic power generation system within the preset time period; acquiring real-time and historical power consumption data from the user end, and combining the real-time and historical power consumption data to predict a second trend of user end power load within the preset time period; determining the power deviation value of the power grid within the preset time period based on the first and second trends, and generating a power regulation plan for the power grid based on the power deviation value. The technical effect of this application is: timely response to power fluctuations of the photovoltaic power generation system and user load, reducing power oscillations in the power grid.

This utility model relates to the field of actuator technology, and in particular to a centrally positioned pneumatic actuator, comprising a cylinder body and a main shaft disposed inside the cylinder body. A piston is fitted on each side of the main shaft, and the piston drives the main shaft to rotate. The actuator also includes a positioning block, a first adjusting screw, and a second adjusting screw. A hexagonal post is disposed on the main shaft, passing through and connecting to the positioning block. The main shaft drives the positioning block to rotate coaxially via the hexagonal post. The first and second adjusting screws are threaded through the side wall of the cylinder body, and each end of the first and second adjusting screws inside the cylinder body has a first limiting end and a second limiting end, respectively. The first and second limiting ends are used to limit the contact with both ends of the positioning block. This utility model, with its centrally positioned limiting structure, allows for real-time adjustment of the actuator's stroke range.

The embodiment of the application provides a time slot adjustment method and device, electronic equipment and storage medium, and relates to the technical field of network, the method comprises the following steps: in response to reaching a time slot monitoring opportunity, determining a bandwidth demand prediction value of a target service of a target network device in a target time period in the future; comparing the bandwidth demand prediction value with an actual bandwidth allocated to the target service at present, and determining a target time slot number allocated to the target service in the target time period based on a comparison result; determining a time slot adjustment opportunity of the target service; and adjusting the time slot number allocated to the target service to the target time slot number when the time slot adjustment opportunity is reached. The embodiment of the application can avoid untimely time slot adjustment during a traffic peak period, and reduce the idling of bandwidth resources during a non-peak period.

This invention relates to the field of energy forecasting technology, and in particular to a method and system for short-term energy load forecasting based on an improved Transformer using SE-Block. The method includes reversible normalization preprocessing of acquired multivariate load sequence data; feature extraction and fusion of the preprocessed data using improved cross-scale interactive patching, including multi-scale feature extraction, cross-scale interactive alignment, residual correction, and dynamic fusion; and feature filtering of the fused features based on a channel attention mechanism, including feature response based on improved SE-Block and nonlinear interaction of context vectors. This invention addresses the non-stationarity of actual load caused by meteorological conditions and user behavior. By automatically eliminating noise interference among multiple variables, the model accurately depicts the fluctuation details of the load curve, demonstrating its robustness in multivariate load forecasting for integrated energy systems.

The utility model provides a kind of machining piece displacement monitoring device, the displacement monitoring device includes control device, first alarm device, displacement detection device, power supply battery and second alarm device.Control device includes control box and controller, and controller is set in control box.First alarm device is set on control box, and first alarm device is electrically connected controller.Displacement detection device is set to the side of machining piece, and displacement detection device is electrically connected controller, and power supply battery is electrically connected controller.Second alarm device is wirelessly connected control device, and it is located the control panel side of machine tool.The displacement monitoring device overcomes the hysteresis of traditional measurement method, ensures that any small displacement change in processing can be captured in time.Double alarm mechanism not only improves the reliability of alarm, effectively avoids the safety accident caused by alarm signal not being perceived in time.

This invention discloses an energy-saving control method for central air conditioning chillers based on an energy demand prediction model, belonging to the field of central air conditioning energy-saving control technology. It addresses the problems of existing chiller control methods relying on manual experience, passive adjustments, and high energy consumption. The method includes: collecting relevant data from the air conditioning operating system, outdoor environment, control terminal environment, and control targets from multiple dimensions; constructing a chiller energy demand prediction model using machine learning algorithms to achieve accurate prediction of chiller energy demand; proactively and collaboratively adjusting the chiller operating frequency, circulating water pump operating status, the number of chillers and water pumps started and stopped, and inlet and outlet water temperatures based on the prediction results; and optimizing the model and control strategy through real-time feedback to form a closed-loop control. This invention achieves predictive and anticipatory chiller control, eliminating reliance on manual experience and realizing truly intelligent control. It significantly reduces chiller energy consumption, improves system operational stability and equipment lifespan, and is applicable to energy-saving control of various central air conditioning chiller systems.

This application discloses a multi-module combined aquaculture water purification method and system, relating to the field of water purification technology. The method includes: acquiring the rated aquaculture load and module distribution information of multiple aquaculture modules; determining the initial connection topology between the multiple water purification modules through a priori empirical model; collecting real-time monitoring data from the multiple aquaculture modules and calculating the real-time water quality load; optimizing water purification parameters based on simulation analysis; and controlling the aquaculture water purification in the target scenario based on the optimized water purification parameter results. This solves the technical problem of traditional aquaculture water purification methods being unable to dynamically adjust according to the actual load and distribution characteristics of different aquaculture modules, leading to low purification efficiency.

The invention relates to the technical field of information processing, in particular to a non-contact code read-write system and device for fire alarm, and the system comprises an RFID tag end and a code read-write device. The RFID tag end is made of a metal-resistant material and a ceramic packaging material with strong severe environment tolerance. The early warning module is used for acquiring environment data and judging whether active alarm is triggered or not according to change characteristics of the environment data, the storage module is used for recording key logs, and the analysis module is used for analyzing stored key log data and actively feeding back equipment states through Bluetooth beacons. And the coding read-write device comprises an RFID reading module for realizing information interaction with the RFID tag end, an RFID write-in module and a signal receiving module based on Bluetooth. The problems that in the prior art, an encoding read-write system cannot actively early warn and give an alarm and feed back the condition of fire alarm equipment, and RFID radio frequency signals are prone to being affected by severe environment factors such as high temperature, dense smoke and water mist and the like and are attenuated are solved.

The application discloses a flexible on-load voltage regulating transformer multi-target cooperative control system and method based on hour-level load prediction, which comprises the following steps: a node parameter acquisition module acquires electrical parameters of each node of a power distribution network; a load prediction module outputs a load prediction sequence in the future time; a multi-target optimization module generates an optimal control optimization strategy according to a cooperative optimization model; an upper prediction optimization layer makes an hour-level optimization decision on tap position and capacitor group switching; a lower real-time adjustment layer outputs a voltage dynamic compensation amount and generates a minute-level equipment adjustment instruction; and an execution module coordinates and controls flexible on-load voltage regulating transformer (FOLTC) tap switching, capacitor group switching and converter action, so that multi-target optimization of voltage deviation, reactive power compensation and equipment loss is realized. The application is suitable for voltage optimization, reactive power compensation and loss control in a conventional load fluctuation scenario of a power distribution network.

This invention relates to the field of intelligent logistics warehousing and automated storage technology, specifically a method, system, and apparatus for efficient pallet storage in logistics storage. The method includes: collecting actual outbound instructions and pallet flow records as initial data packets; performing time-series correlation analysis to obtain the spatiotemporal coupling characteristics of orders; extracting pallet flow probabilities and calculating predictive cache hit rates; classifying heat levels based on historical outbound frequencies and assigning migration priorities; calculating the physical topology entropy reduction index of the storage area in conjunction with pallet flow probabilities; extracting idle time slices of handling equipment and calculating fragmented time rebalancing conversion rates; constructing a multi-objective optimization function and solving it to obtain a dynamic topology rearrangement strategy; generating migration trigger conditions and cache execution instructions, and executing them when the conditions are met; and calculating scheduling preemption rollback delays and formulating rearrangement interruption recovery strategies when sudden tasks have higher priority. This invention thereby improves the accessibility and scheduling stability of high-frequency pallets.

The application discloses a wind turbine gearbox cooling system fault prediction system and method in the technical field of wind power generation fault diagnosis, which comprises the following steps: collecting multiple source operation parameters of a wind turbine gearbox lubricating cooling system in real time; calculating key performance indicators reflecting the performance of the lubricating cooling system based on the multiple source operation parameters, and extracting features, wherein the key performance indicators at least include a cooling performance ratio; performing performance degradation identification and fault prediction based on the time sequence change trend of the key performance indicators; and outputting the performance degradation identification and fault prediction results. By introducing the comprehensive performance indicator of the cooling performance ratio, the application can sensitively identify the progressive degradation of the cooling system, overcome the defects of the traditional single parameter threshold alarm lag and fault positioning ambiguity, and provide an effective means for realizing predictive maintenance of the wind turbine.

The utility model discloses a kind of eyeglass lens edger circulating water quality monitoring systems, it relates to lens edger technical field.It includes water quality sensor: install on circulating water tank, for real-time detection suspended particulate matter concentration in circulating water tank;Control unit: with water quality sensor signal connection, control unit is used to receive and handle the real-time detection data of water quality sensor;Response module: with control unit output end connection, for based on the alarm signal and / or to edger output control signal of the processing result of control unit.It is beneficial for the utility model to install water quality sensor based on optical scattering principle on water tank, continuously, real-time monitoring concentration change of suspended particulate matter in circulating water, overcome the hysteresis of traditional artificial timing sampling detection or simple visual inspection, can send alarm when water quality starts to deteriorate but has not reached serious harm degree, provide valuable reaction time for operator, prevent problem accumulation deterioration.

The invention is suitable for the technical field of intelligent terminals, and provides an equipment adaptive time synchronization method and device, terminal equipment and a storage medium, and the method comprises the steps: periodically detecting the instantaneous deviation between the local time of the equipment and the network reference time according to a synchronization period; calculating a predicted time error according to the instantaneous deviation, a predicted time window and a clock drift rate, the clock drift rate being determined based on the instantaneous deviation; the predicted time error is compared with an allowable error threshold value, and if the predicted time error is larger than the allowable error threshold value, time synchronization operation is triggered; after the time synchronization operation is triggered, the synchronization period is dynamically adjusted according to the clock drift rate, and the adjusted synchronization period is used for determining the time for detecting the instantaneous deviation next time. According to the invention, the device can adaptively balance time precision and resource consumption, so that the synchronization effect of high precision, low power consumption and network friendliness is realized.

The application discloses a social media-based interpretable dynamic graph network benefit prediction model training method, relates to the technical field of text analysis and market prediction, and obtains market data and related social media data of a financial asset to divide the data by weeks; for the social media data of each week, a topic is taken as a node, and similarity between topics is taken as an edge weight, a topic correlation graph of each week is constructed to obtain weekly graph data; a prediction model performs time sequence updating and market prediction according to the weekly graph data; a text time sequence memory unit obtains a current week topic memory vector according to a current week topic text embedding vector and in combination with a last week topic memory vector; a multi-layer graph attention network captures the correlation features between nodes through an attention mechanism and adopts attention weights for weighted summation to obtain a current week global graph embedding; and a classifier outputs a next week price change prediction result. The application solves the problem that the prior art cannot effectively capture the time sequence evolution of topic sentiment and the correlation between topics.

This disclosure relates to a control method, device, and vehicle for contactless anti-pinch protection of vehicle windows, including: acquiring spatial motion status parameters of an obstacle relative to an onboard radar sensor on the window closing path, and obtaining the real-time position of the obstacle based on the spatial motion status parameters; generating movement parameters of the obstacle based on the real-time position at multiple time points; determining whether the obstacle meets threat conditions based on the spatial motion status parameters and movement parameters, wherein the threat conditions are used to characterize the risk of the obstacle being pinched; and triggering the window to perform anti-pinch operation when it is determined that the obstacle meets the threat conditions. This disclosure relies on the non-contact active sensing characteristics of radar, actively emitting electromagnetic waves for detection. Tens to hundreds of milliseconds before the glass and obstacle collide, the radar has already detected the obstacle's intrusion path, thereby achieving pre-collision intervention. This represents a technological upgrade from traditional passive motor load detection to active spatial sensing, allowing for early risk detection without physical contact with the obstacle.

The application discloses a kind of pipeline batching delivery control methods based on Internet of Things, comprising: in glass electric melting furnace batching pipeline key position deployment hyperspectral camera, real-time identification pollutant species and location in material;Workshop is provided with environmental sensor, and the digital twin of proportionality with physical workshop is built;When detecting pollutant, digital twin starts simulation engine, predicts pollution source diffusion path and establishes feature library;System real-time tracking pollution track, accurately calculates shunt opportunity, automatically triggers shunt valve and is polluted material into waste pool;While dynamically adjusting clean room air pressure gradient and cleaning time, form airflow barrier and block diffusion;After cleaning, carry out secondary monitoring and generate traceability report.The method realizes the automatic control of pollution whole process, improves production safety and efficiency, reduces material loss.

This invention relates to the field of paper product testing technology, and discloses an intelligent sensing real-time monitoring device for the folding strength of paper corner protectors, comprising: a frame, a conveying mechanism, a testing mechanism, a driving mechanism, and a control center. The conveying mechanism includes an infeed platform and an outlet platform, both mounted on the frame; one end of the infeed platform is connected to an external conveyor belt; the infeed platform is equipped with at least two first electric drive wheels; the two first electric drive wheels are used to collaboratively clamp the paper corner protectors and push them to move; the outlet platform is equipped with a first sensing unit and an electric plate; the testing mechanism includes a detection telescopic rod and a lifting support platform, the detection telescopic rod being located above the lifting support platform; the detection telescopic rod is equipped with a pressure sensor and a displacement sensor; the top surface of the lifting support platform is provided with at least two support columns; the paper corner protector is located between the detection telescopic rod and the support columns to perform three-point bending strength testing on the paper corner protector. This enables real-time testing of each paper corner protector product.

The application discloses a kind of distribution network overhead line external insulation equipment operating condition evaluation method, system, equipment and medium, comprising: obtaining target insulation equipment surface image and identifying new color covering, if there is, generate time stamp containing contamination event record and set to strengthen monitoring mode;When in strengthening monitoring mode, real-time acquisition leakage current and partial discharge intensity, any parameter is over threshold value, then obtain the dynamic response data in the first natural humidity change period after contamination event record;Dynamic response data is compared with benchmark response characteristics, and attribution judgment result is generated by fusing contamination characteristic information;Attribution judgment result and dynamic response data are stored in digital twin archives;Based on digital twin archives, extract feature vector and carry out similarity search with cloud case base, update attribution judgment weight parameter, obtain external insulation equipment operating condition evaluation report.The application effectively improves the accuracy of fault diagnosis and the intelligent level of equipment operation and maintenance.

The invention discloses an atomization rate adjusting method and an atomization device.The atomization rate adjusting method comprises the steps that the atomization rate is preset; based on a preset atomization rate, determining a waveform amplitude parameter of the driving signal and a waveform output time proportion parameter of the driving signal; determining a liquid flow velocity parameter matched with the waveform amplitude parameter and the waveform output time proportion parameter of the driving signal; and based on the waveform amplitude parameter, the waveform output time proportion parameter and the liquid flow velocity parameter of the driving signal, driving liquid supply and driving an atomization sheet to work. The invention further provides an atomization device. The atomization piece is provided with holes. The driving circuit is electrically connected with the atomization sheet and is used for implementing the atomization rate adjusting method; a liquid cavity is formed between the mounting seat and the atomizing sheet; the barrel is connected to the mounting base, an atomization cavity is formed in the barrel, and the atomization piece is used for atomizing liquid in the liquid cavity.

This invention discloses a modeling method for grid-type multi-converter based on sub-microsecond simulation, belonging to the field of converter modeling and simulation technology. The method involves discretizing the switching elements to construct a generalized constant admittance switching model based on the LC equivalent circuit. Then, by discretizing the system state matrix, an extended modeling from a single converter to a multi-converter system is achieved. Furthermore, by combining the inertia characteristics of a virtual synchronous generator, a complete grid-type multi-converter model including control elements is established. Finally, a simulation model of the grid-type multi-converter system is built in PSCAD / EMTDC, verifying the correctness and effectiveness of the method. This invention demonstrates good applicability and stability in integrating the generalized constant admittance switching model with the inertia characteristics of a virtual synchronous generator at a sub-microsecond simulation step size. It significantly improves the simulation accuracy and efficiency while achieving rapid convergence of transient processes in the grid-type multi-converter and active support for grid voltage and frequency.

The invention discloses an automatic navigation control system and method of a hydraulic drive crawler, and relates to the technical field of engineering vehicle control, the system comprises a navigation control subsystem used for confirming a starting point and an ending point to confirm a driving path; the man-machine interface logic control subsystem is used for receiving the driving path and setting initial information of the crawler according to the driving path; the crawler driving control subsystem is used for controlling the crawler to run along the running path according to the initial information; the controller is also used for acquiring real-time data and yaw information of the crawler, calculating a yaw distance, comparing the yaw distance with a yaw threshold value to obtain a comparison result, and generating a correction instruction according to the comparison result; and the tracked vehicle driving control subsystem corrects the yawing tracked vehicle based on the correction instruction, so that the tracked vehicle recovers to go straight. According to the method and the device, the crawler running in the preset path can be timely, accurately and automatically corrected.

The application discloses a kind of CPFT collaborative verification test methods, systems, equipment and medium based on intermediate file, it is related to CPFT test field, comprising: S1, obtains test requirement;S2, according to test requirement, determines test point;S3, according to test point, generates initial intermediate file, and intermediate file is uploaded to the server of preestablished;S4, server receives the operation instruction of user, and based on operation instruction, intermediate file is modified and updated;S5, intermediate file is parsed, and test vector is generated according to the intermediate file after parsing;S6, test vector is submitted to test base station and is tested.The application generates and uploads intermediate file to the server of preestablished, each part can directly modify intermediate file and generate test vector after contacting requirement, avoids the complexity of communication, version iteration confusion and hysteresis, and a complete requirement cannot be conveyed by multiple departments.

The invention discloses a cross-regional settlement traffic prediction and deviation management and control method and system, and the method comprises the steps: collecting bandwidth settlement traffic time sequence data and external covariable data of a target region, and carrying out the preprocessing; constructing a double-flow depth time sequence prediction model, and predicting the settlement flow based on the preprocessing result and the double-flow depth time sequence prediction model to obtain predicted settlement flow; calculating a real-time deviation index of the actual settlement flow and the predicted settlement flow; monitoring a real-time deviation index, and performing layered drilling analysis under the condition that the real-time deviation index exceeds a dynamic threshold value and an early warning condition is met to obtain a traceability result; and executing a traffic governance strategy based on the traceability result, and performing iterative calibration on the double-flow depth time sequence prediction model by taking the governed traffic feature data as a correction sample to form a continuously self-optimized closed loop. According to the invention, high-precision short-term prediction and deviation pre-management and control of settlement flow can be realized.