295results about How to "Achieve accuracy" patented technology

The invention relates to a cloud side-end integrated collaborative digital-intelligent traffic collaborative management and control method, system and device and a medium, and the method comprises the steps: dynamically adjusting the main line speed limit and ramp control rate through driving main line variable speed limit and traffic induction collaborative management and control based on a hierarchical control architecture, so as to enable the performance of a regional road network to be optimal; a collaborative optimization framework is constructed and utilized under a hierarchical control framework, an optimal control scheme of a single ramp is expanded to each partition of a road network in a random environment, and an optimal joint behavior strategy and a behavior selection strategy of each agent are determined, so that adaptive collaborative control of each agent is realized; and a traffic flow optimal equalization strategy of the whole road network is obtained. Therefore, by integrating a main line variable speed limit and traffic induction collaborative management and control technology, a main line and multi-ramp collaborative optimization framework and intelligent agent configuration, optimization of regional road network performance, optimal balance of overall road network traffic flow and improvement of traffic management and control accuracy and response speed are achieved.

The invention relates to the technical field of road maintenance and management, in particular to a pavement internal disease analysis method and system based on artificial intelligence. Five core processes of multi-layer sensor network real-time data acquisition, multi-modal data fusion and deep learning feature extraction, dynamic environment and use mode combined disease prediction and analysis, intelligent prediction and decision support system, and real-time disease condition evaluation and report generation are carried out. Through the technical means, comprehensiveness and timeliness of data acquisition, accuracy of disease identification and prediction, scientificity of a maintenance strategy and optimization of resource allocation are realized; the finally generated disease current situation report provides a detailed disease distribution diagram, disease type analysis and disease severity evaluation, comprehensive, accurate and timely disease information is provided for maintenance personnel, and the efficiency and effect of pavement maintenance and management are remarkably improved.

The invention discloses a visual detection system for an automobile door panel assembly, and relates to the technical field of automatic detection, and the visual detection system comprises the steps: installing a high-precision industrial camera, and carrying out the synchronous collection of the multi-view image data of an automobile door panel; preprocessing the acquired multi-view image data of the automobile door panel; carrying out detail enhancement on the preprocessed multi-view image data of the automobile door panel by adopting a super-resolution algorithm; integrating the enhanced multi-view image data of the automobile door panel into an automobile door panel panorama through binocular stereoscopic vision matching, and constructing an automobile door panel three-dimensional model; the automobile door panel three-dimensional model is compared with a standard automobile door panel three-dimensional model, and the buckle defect in the automobile door panel is recognized; and carrying out position marking and defect type analysis on the identified defect points, and generating an automobile door panel detection report according to the defect type analysis. According to the invention, details are enhanced by using a super-resolution algorithm, defects are accurately positioned by using a three-dimensional model, and the detection efficiency and accuracy are improved.

The invention belongs to the technical field of intelligent agricultural planting, and particularly relates to an agricultural planting decision-making method and system based on a large language model.The technological process of the method includes the steps that firstly, historical field data and field data are preprocessed, and then processing such as feature extraction, clustering and sensor data fusion is conducted; and finally, predicting according to the agricultural data set and sending to the user. The concrete structure of the system comprises a data processing module, an intelligent agent module and an agricultural interaction model module. The system can be widely applied to precision agriculture, and helps farmers to implement precise management strategies such as precise fertilization, irrigation and pest control according to specific environment and crop requirements, so that the yield and quality of crops are improved. According to intelligent greenhouse management, environment parameters such as temperature, humidity and illumination are monitored in real time through an environment sensor, and after data are processed, an intelligent agent can provide an optimized management strategy to adjust conditions in the greenhouse, so that an optimal environment is created for growth of plants.

The invention relates to the technical field of project quality supervision acceptance detection, and discloses a project quality supervision acceptance detection system and method based on the Internet of Things technology, and the system comprises an information collection module, a data analysis module, a man-machine interaction module and a data storage library. The data analysis module comprises a point cloud preprocessing sub-module, a fitting comparison sub-module and a problem analysis sub-module; the man-machine interaction module comprises a quality early warning sub-module, a manual re-checking sub-module, a terminal display sub-module and a result output sub-module. According to the system, manual reading and recording are not needed, the data entry error can be reduced, and the data processing efficiency can be improved; a data analysis module automatically judges the wall surface abnormal condition and the quality excellent degree of the local point cloud model, abnormal data are verified through a man-machine interaction working mode, normal data are further mined and analyzed, and therefore the judgment accuracy and the working efficiency of the system are improved; and the workload of supervision personnel is reduced to a great extent.

The invention relates to the technical field of data processing, and discloses a multi-point synchronous accurate hoisting positioning method and device for a bridge precast beam. The method comprises the following steps: optimizing three-dimensional scene data to obtain target environment data, performing path planning to obtain multi-point hoisting path data, and performing optimization processing on the path data to obtain an optimized hoisting path and attitude change data; performing real-time visual tracking processing on the precast beam to obtain real-time position and attitude data, and performing filtering processing on the real-time position and attitude data to obtain filtered pose data; and performing comparative analysis on the pose data, the optimized hoisting path data and the optimized pose change data to obtain control instruction data, and performing cooperative control on the multi-point hoisting system according to the control instruction data. The posture of the large precast beam can be accurately and efficiently controlled, the positioning precision is improved, and the requirement for rapid and efficient hoisting is met.

The invention discloses a self-adaptive aid decision-making method, system and device for patient radiotherapy, and a medium, and relates to the field of smart medical treatment. The method comprises the following steps: standardizing and preprocessing multi-source original data; performing automatic segmentation and change detection on tumor and normal tissues based on the processed data; delineating a tumor target region and a normal tissue in radiotherapy in a detection result; generating radiation therapy dose distribution according to the sketching result; evaluating the radiation treatment dose distribution by adopting an optimization evaluation method to generate a plurality of alternative treatment schemes; determining an optimal treatment regimen based on the plurality of alternative treatment regimens; and performing radiotherapy based on the optimal treatment scheme, monitoring anatomical changes of the patient in real time in the radiotherapy process, and dynamically adjusting the optimal treatment scheme. According to the invention, a plurality of operations of patient radiotherapy can be effectively integrated, and precision and individuation of patient radiotherapy can be realized, so that complex changes in the treatment process can be better coped with, and the overall treatment effect can be improved.

The invention relates to the technical field of data processing, in particular to a subway shield tunnel segment external pressure control system based on automatic monitoring, and the system comprises a setting module which is used for setting a pressure sensor, a position sensor and a strain sensor on a segment by precisely recognizing the structure of the segment; the data acquisition module acquires sensor data in real time based on a preset frequency; the pressure analysis module draws a pressure change diagram and judges that the pressure of the duct piece is abnormal, or adjusts the preset frequency; the deformation analysis module receives the deformation analysis instruction, determines the deformation degree of the duct piece based on a radial deformation degree determined based on a plurality of real-time positions and an annular strain degree determined based on a plurality of real-time resistance values, and adjusts a water pressure threshold value according to a comparison result of the deformation degree and a preset deformation degree to generate a drainage instruction; the drainage module receives a drainage instruction and determines the opening number and distribution of water diversion ports based on adjustment of a preset water pressure threshold value and the segment deformation degree. The safety of the metro shield tunnel segment structure is guaranteed.

The invention discloses a sinking type city global governance comprehensive management and control method and platform, and relates to the technical field of city management, and the method comprises the steps: deploying intelligent sensing equipment at a key position of a target city, and capturing multi-dimensional city operation data in real time; the interactive social media platform is used for acquiring Internet feedback data of target city residents; carrying out cross-domain data integration on the obtained data, carrying out spatio-temporal data analysis, obtaining a city operation change rule, carrying out simulation decision simulation, and generating a regional governance decision; in the execution process, treatment effect feedback is collected, and strategy adjustment and algorithm model optimization are carried out. The technical problems of lack of effective information sharing and collaboration among departments, lagging of dynamic change response of the city and low timeliness and accuracy in a traditional city governance mode in the prior art are solved, and the technical effects of precision and high efficiency of city governance are achieved through sunken global governance comprehensive management and control.

The invention relates to a liver transplantation post-operation nursing recommendation method and system based on an NNN link system, and the method comprises the steps: carrying out the construction of a knowledge graph based on the related data of a liver transplantation recipient post-operation NNN link, and constructing a corresponding liver transplantation post-operation nursing knowledge graph; and putting the liver transplantation postoperative nursing knowledge graph into clinical application, predicting an NNN nursing decision scheme matched with liver transplantation symptom information according to the liver transplantation symptom information of a clinical liver transplantation recipient, and executing the NNN nursing decision scheme on a patient. According to the method, an auxiliary decision-making system can be generated, medical staff are helped to reasonably set an outcome target for a liver transplantation recipient and formulate targeted nursing measures, the nursing efficiency is improved, and time and energy consumed by medical care decision making are saved. According to the invention, nurses can be guided to accurately identify and determine existing and potential health problems of liver transplantation recipients. Meanwhile, by introducing an NNN link system, systematized, standardized and intelligent management of postoperative care of liver transplantation recipients is realized.

The invention provides a super-lens reverse design method based on a selective dual-channel perception fusion network, and the method comprises the steps: obtaining a picture-phase spectrum data set through obtaining K pairs of original images and corresponding original phase spectrums; inputting the data to an adaptive difference frequency feature extraction network ADFFNet; inputting a selective non-common feature interaction network SFIFNet to respectively obtain image frequency features and spectral frequency features; the fusion reconstruction features of the image and the fusion reconstruction features of the spectrum are obtained; obtaining a picture generation result and a spectrum generation result; according to the method, the non-common frequency characteristics between the image and the corresponding spectrum can be deeply mined and deeply fused, the mapping accuracy between the image and the corresponding spectrum response can be improved, and the generation accuracy and efficiency of the image and the spectrum can be improved.

The invention provides a social engineering attack detection method based on context awareness, and aims to solve the problem that dynamically changing social engineering attacks cannot be effectively handled in the prior art. According to the method, the emotional state, the decision-making mode and the daily behavior mode of a user are continuously monitored by constructing a context awareness system, and user behaviors are analyzed and monitored in real time in combination with a personalized behavior baseline model. The system measures the deviation between the user behavior and the baseline model by using a composite function and a multi-dimensional feature fusion technology, and when an abnormal behavior is detected, the system automatically triggers security policy adjustment, such as starting multi-factor authentication or limiting high-risk operation. Experimental results show that social engineering attacks can be effectively recognized in complex and changeable attack scenes, and the detection accuracy and response speed are remarkably improved. The method can be widely applied to the field of network security, and is especially suitable for an environment requiring highly customized security protection.

The invention belongs to the technical field of rodent pest prevention and control, and discloses a safety prevention and control design system and method based on artificial intelligence. Comprising the following steps: arranging n sensor nodes in a to-be-controlled area to construct an Internet of Things sensor network, and collecting environmental data and rodent damage activity data in real time based on the Internet of Things sensor network; performing fusion processing on the environment data and the rodent damage activity data to obtain comprehensive rodent damage data; constructing a rodent pest detection model, and analyzing the comprehensive rodent pest data by using the rodent pest detection model to obtain position active degree data of rodent pest activities; constructing a rat damage virtual model, and predicting change trend data by using the rat damage virtual model based on the environment data and the rat damage activity data; according to the position active degree data and the change trend data, an optimal rodenticide placement strategy is solved by using an optimization algorithm; and the optimal rodenticide placement strategy is issued to the field execution terminal for rodenticide putting, so that the prevention and treatment efficiency is improved, and the labor cost is reduced.

The invention discloses a respiratory disease oxygen precise conveying system based on a sensor, and relates to the technical field of medical equipment, and the system comprises a sensing module which integrates multiple sensors to collect and process airway and physiological data of a patient; the disease matching module identifies disease types through database comparison; the dynamic adaptation module calculates exclusive oxygen concentration based on a multi-mode fusion initial algorithm; the conveying module executes adjustment; the closed-loop feedback module continuously fine-tunes the oxygen concentration through a closed-loop stepped fine-tuning algorithm to form a closed-loop link, so that accurate dynamic control of oxygen delivery is realized; according to the invention, multi-sensor collaborative acquisition and disease precise matching are combined with a dynamic algorithm and closed-loop feedback, so that individuation and dynamic oxygen delivery are realized, the system avoids misjudgment by relying on a standardized database, and the oxygen concentration, flow and pressure are ensured to be adjusted in real time along with physiological indexes of a patient through multi-parameter collaborative adjustment and stepped fine adjustment; the treatment comfort, the effectiveness and the long-term adaptability are improved.

The utility model discloses a shoe anti-rollover performance test device, comprising a simulation foot device which comprises a simulation leg model and a simulation foot model, the simulation leg model simulates knee joint motions when a leg treads and lifts up, and the simulation foot model wears a shoe to simulate ankle joint motions when the foot stands or laterally stretches and lifts up; the ground-like device is provided with a treading platform mechanism and a lifting mechanism, the treading platform mechanism is provided with a test platform, and the test platform is provided with a treading plane for simulating the simulation foot mold and bears treading force generated when the simulation foot mold performs lateral pedaling and stretching actions; the lifting mechanism controls the treading platform mechanism to move in the vertical direction so that the sole of the simulation foot mold can make close contact with the testing platform. And a control and data acquisition module. The utility model provides an anti-rollover performance test device for shoes, which can simulate landing angles, impact forces and action time between different legs and feet and the ground, and evaluate the overall anti-rollover performance difference of the shoes under different exercise intensities.

The invention discloses an action generation method, system and device based on a multi-modal large model and a medium, and relates to the field of artificial intelligence, and the method comprises the steps: obtaining an action type of a current environment input by a user and a multi-modal instruction; performing intention understanding and step splitting on the multi-modal instruction based on the first multi-modal large model to obtain a user control intention in a text form; for any processing step in the user control intention, environment perception is carried out by adopting a second multi-mode large model based on the user control intention and the current environment information; a third multi-mode large model is adopted to generate a next action; and calling a corresponding action interface according to the next action. The multi-mode instruction input by the user can be analyzed in real time, the environment information can be understood, and the action adapting to the current environment is generated, so that efficient and autonomous control of the robot is realized, and high-accuracy generation and real-time interaction of complex actions are realized.

The invention relates to an automatic auditing analysis method and device based on business data and computer equipment, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring business data; identifying unstructured service data in the service data, mapping the unstructured service data to a preset structured template to perform format conversion on the service data to obtain converted service data; constructing metadata and a knowledge base according to the converted business data; and based on the metadata and the knowledge base, performing various data analysis on the converted business data to obtain a business analysis result. By adopting the method, the efficiency and quality of data analysis can be improved.

The present invention proposes a structural safety monitoring method, device, medium and equipment based on artificial intelligence, which are applied to a client and a server. The server obtains data to be analyzed based on structural safety monitoring of a building sent by at least one client in real time; parses the data to be analyzed to obtain first data to be analyzed based on location features and second data to be analyzed based on early warning data; constructs a spatial coordinate system based on the first data to be analyzed, generates a BIM sub-model to be matched based on the data to be analyzed, and matches it with a pre-constructed BIM model. If a BIM sub-model exists, the BIM sub-model data is retrieved; the second data to be analyzed is matched with the BIM sub-model data to determine whether there is an abnormality. If so, an abnormal early warning message is sent to at least one client. The combination of improved BIM technology and artificial intelligence technology achieves high efficiency and accuracy in safety monitoring of building structures.

The invention provides a power business anti-quantum cryptography migration progressive control method based on risk awareness, and belongs to the technical field of migration control, and the method comprises the steps: collecting key parameters of all to-be-migrated businesses in a power system, carrying out the standardization preprocessing of the collected key parameters, and constructing a business feature matrix; acquiring relevant parameters of quantum attacks in real time, and calculating a real-time quantum attack risk value of each service to be migrated; based on the service feature matrix and the real-time quantum attack risk value, constructing a dynamic migration rhythm adaptation model, and calculating a migration priority, a migration rate and a migration interval of each service to be migrated; and constructing a migration fault-tolerant and recovery model, monitoring the migration process in real time, calculating a fault influence range and recovery cost based on fault information, and executing corresponding adjustment operation. Accurate, dynamic and high-reliability control of anti-quantum password migration of the power business is realized, safe and stable operation of the power business in the migration process is guaranteed, and the migration efficiency and the anti-quantum attack capability are improved.

The invention discloses a plate flattening and shearing production line with high feeding precision and a using method, and relates to the technical field of plate flattening and shearing, the plate flattening and shearing production line comprises a plate flattening and shearing main body, a flattening chamber and a shearing chamber are formed in the plate flattening and shearing main body, and laser displacement sensors are mounted at outlets and inlets of the flattening chamber and the shearing chamber; acoustic sensors are mounted on the side walls of the flattening chamber and the shearing chamber; a top limiting module and a shearing module are mounted on the top wall of the shearing chamber, the top limiting module is used for fixing a plate from the top in the shearing process, and the shearing module is used for shearing the plate; a side face limiting module is installed on the side wall of the shearing chamber and used for fixing the plate from the side face in the shearing process. By installing the top limiting module, the side face limiting module and the shearing module, the problems that in the plate machining process, the feeding precision is low, the machining efficiency is low, flexibility is insufficient, and the machining quality is unstable can be solved.

The invention relates to an on-line placement device and method for a conduit in an elastic mattress, and belongs to the technical field of mattresses. The method specifically comprises the steps that a conveying mechanism conveys a guide pipe downwards, raw materials are plasticized through an extruder, tows are extruded through a machine head and a mouth mold plate, the tows are located on the periphery of the guide pipe, the tows and the guide pipe fall on a shaping roller together, the tows form disordered filaments, connecting points are formed at the mutual contact positions, and therefore the guide pipe is placed between the tows to form the mattress with the guide pipe. The invention aims to solve the problem that in the process of producing and manufacturing a mattress, a guide pipe is synchronously arranged, and hot water or cold water can be introduced into the guide pipe according to different seasons and needs, so that the mattress is heated or cooled. The guide pipe is arranged on line, so that the damage to the mattress caused by the mode of inserting the guide pipe into the existing mattress is avoided.

The utility model discloses a welding H-shaped steel beam positioning and drilling device which comprises a bottom plate, a stopping plate is fixed to one end of the top of the bottom plate, two mounting plates are fixed to the other end of the top of the bottom plate, transverse grooves are formed in the two sides of the top of a fixing plate, and inclined grooves are formed in the two sides of one end of the top of the fixing plate. First rolling wheels are arranged in the transverse grooves in a rolling mode, connecting rods are rotatably connected to the tops of the first rolling wheels, second rolling wheels are rotatably connected to the tops of the two connecting rods, and moving plates are arranged at the ends, close to the stopping plate, of the two mounting plates; clamping plates are fixed to the faces, close to each other, of the two movable plates. According to the H-shaped steel beam drilling device, the effect of clamping and fixing the H-shaped steel beam in the drilling process of the H-shaped steel beam is achieved, through linkage of the mounting frame and the connecting rod, the cost of additionally needing a driving device to fix the H-shaped steel beam is saved, and the energy-saving and environment-friendly effects are achieved.

The invention provides a highway section real-time traffic volume calculation method and device based on an ETC portal, and the method comprises the steps: obtaining the road section basic data of a to-be-calculated highway road network and ETC portal basic data, and determining the basic information of an ETC cross modulation station according to the road section basic data and the ETC portal basic data; according to the basic information, acquiring first traffic volume data of toll vehicle models of the ETC cross-dispatching station in real time; converting the first traffic volume data into second traffic volume data of a cross-modulation standard vehicle type based on a preset division standard; and carrying out statistics on the second traffic volume data, and determining the traffic volume of each cross-modulation standard vehicle type of the ETC cross-modulation station. The comprehensiveness and accuracy of real-time operation monitoring of the highway network can be realized without additionally arranging other equipment for a newly built cross modulation station, the cost can be reduced, and meanwhile, powerful data support is provided for evaluating the traffic accessibility of the whole bus road network.

The invention provides a data query method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The method comprises the steps of obtaining a query request; determining target information contained in the query request, wherein the target information comprises index information used for describing the to-be-queried index; performing problem classification on the query request to obtain a query type; and generating structured information according to the target information and the query type, and performing data query through the structured information to obtain a query result. According to the method and the device, the target information in the query request can be acquired through a standardized process, and the query request is classified, so that the structured information can be determined according to the target information and the query type, and the accuracy and the reliability of extracting the core information in the natural language problem are realized; and the accuracy and reliability of data query are improved.

The invention discloses a self-operated spring supporting device and an adjusting method, and relates to the technical field of well station pipeline technology and valve equipment integrity and maintenance. The device comprises a supporting outer cylinder and a supporting inner cylinder, the supporting inner cylinder is sleeved with the supporting outer cylinder, the supporting inner cylinder comprises an inner cylinder, a spring, a positioning groove, a bottom plate, a reinforcing hole and a reinforcing plate, the cross section of the bottom plate is round, the inner cylinder is welded to the top of the bottom plate, the cross section of the inner cylinder is annular, and the central axis of the inner cylinder coincides with the central axis of the bottom plate; the side face of the inner cylinder is provided with two positioning grooves which are symmetrically arranged, and the interior of the inner cylinder is fixedly connected with a spring. According to the method, the spring is arranged, the calculation formula is written, the pipeline specification, the wall thickness, spring parameters and other basic information are input, the pipeline weight and the deformation quantity of the supporting spring are automatically produced, supporting effectiveness and accuracy are achieved, and the purposes of bearing and vibration buffering are achieved. If the ground sinks, the compression of the spring can play a role in clearance compensation.

The invention discloses an intelligent follow-up visit management system for skin disease patients, and relates to the technical field of Internet. During operation of the system, multi-source data is acquired from mobile equipment, medical equipment and environment acquisition equipment worn by the patients, a comprehensive original data set D covering illness conditions and environment factors is formed, summarizing calculation is performed, and a follow-up visit result is obtained; according to the method, the dynamic follow-up scoring index DP is generated, so that the follow-up frequency adjustment identifier SF is generated, accurate regulation and control of the follow-up frequency are realized, and the defect that a fixed follow-up period cannot respond to the change of an illness state in real time is overcome. The evaluation feedback and adjustment module calculates a follow-up visit frequency adjustment identifier SF for the second time based on follow-up visit data fed back by the patient, and substitutes the follow-up visit frequency adjustment identifier SF into the data processing and feature extraction module for iterative optimization; the system can continuously adapt to dynamic changes of illness conditions, and precision and individuation of follow-up visit plans are achieved.

The invention provides a welding seam path planning method and system based on robot kinematics and a medium. The method comprises the following steps: acquiring three-dimensional data of a welding seam; establishing a robot kinematics model; a coordinate conversion step; a path planning step; a collision detection and optimization step: performing collision detection in combination with a collision detection algorithm in the path planning process, and entering an optimization sub-step if it is detected that a collision risk exists on the robot path; if the collision risk does not exist, determining the current motion parameter as an optimized motion parameter, and determining a path corresponding to the current motion parameter as a final planning path; and a path execution control step: applying the optimized motion parameters to a robot control system, and controlling the robot to carry out movement and welding operation along the final planned path. According to the method, path continuity is achieved, the collision risk is avoided, the accuracy and safety of the welding process are improved, and wide market prospects and economic benefits are achieved.

The invention belongs to the technical field of immunodetection, and particularly relates to an unlabeled multiple immunodetection system based on core-shell photon bar code integrated rolling circle amplification and application. The non-labeled multiple immunodetection system comprises: 1) a probe-modified porous hydrogel-PhC shell microsphere, the probe is used for capturing a target nucleic acid molecule to be detected, the porous hydrogel-PhC shell microsphere is formed by coating a silica microsphere with a porous hydrogel, and the diameter of the porous hydrogel-PhC shell microsphere is 200-200 [mu] m; 2) an antibody modified by a DNA promoter; 3) a blocking / primer compound; and 4) a circular DNA. The detection system provided by the invention realizes high-sensitivity multiple quantitative detection, and the detection limit is within the range of 0.030 pg / mL. The detection system provided by the invention is verified through clinical sample analysis, has acceptable accuracy and high specificity, and proves that the provided detection system and method have good potential applicability in clinical screening and diagnosis.

The embodiment of the invention provides a laser point cloud distortion removing method and device, electronic equipment and a storage medium, and the method comprises the steps: in the movement process of a carrier carrying an IMU, a millimeter-wave radar and a laser radar, obtaining a distortion removing result through the acceleration and attitude information at the current moment obtained by the IMU according to a pre-constructed system state error model, processing to obtain prediction state information and prediction error information of the carrier at the next moment; updating the prediction error information according to the system state error model, the prediction state information, the prediction error information and the linear speed output by the millimeter wave radar at the current moment to obtain target error information; updating the prediction state information according to the target error information to obtain target state information; obtaining a fusion angular velocity and a fusion linear velocity according to the target error information and the target state information; and according to the fusion angular velocity and the fusion linear velocity, correcting the point cloud data collected by the laser radar at the current moment to obtain corrected target point cloud data.

The invention discloses a cloud edge end collaborative computing power scheduling system supporting task dynamic migration, which relates to the technical field of intelligent computing power scheduling and comprises a path modeling module, a conflict identification module, a time sequence checking module, a rehearsal switching module and an interference suppression module, and constructing a routing convergence time sequence profile and a link playback spectrum, modeling an overlapping window of the old path and the new path and a life cycle of a control signal, and generating a path evolution baseline for subsequent conflict identification. By means of path modeling, fingerprint identification, causal check, shadow rehearsal, interference suppression and the like, time sequence consistency of a control instruction and a data stream, continuous path switching and real-time extinguishing of link interference are realized, and the stability and reliability of cloud edge collaborative scheduling are improved.