63results about How to "Improve Observability" patented technology

The invention discloses a middle and low voltage distribution network cooperative regulation and control method and device based on reliability evaluation, and belongs to the technical field of power system optimization. According to the method, a zone area in the low-voltage power distribution network is projected into a feasible space to obtain a feasible region, flexible resources such as distributed photovoltaic, electric heating loads and distributed energy storage of the zone area of the low-voltage power distribution network are projected and aggregated into constraint conditions of virtual load nodes in the medium-voltage power distribution network, and a medium-voltage power distribution network model and a corresponding objective function are constructed based on the constraint conditions. And obtaining a switching action sequence corresponding to the medium-voltage power distribution network after solving the objective function. According to the method, a medium and low voltage power distribution network cooperative reliability improvement strategy considering the virtual load nodes is provided, all flexible resources of a low voltage power distribution network zone area are represented through the virtual load nodes, and the variable dimension and the calculation complexity of medium and low voltage power distribution network reliability evaluation are reduced; the linkage between the flexible resources of the transformer area and the medium-voltage power distribution network switch is realized, and the reliability of the medium-low voltage power distribution network is effectively improved.

The invention belongs to the technical field of artificial intelligence computing power resource management, and particularly relates to an AI computing power resource monitoring and predicting system and method based on data driving. The acquired computing power resources are sent to an observability analysis module to perform distributed tracking on various application services, and a generated performance flame map is sent to a data integration and output module; meanwhile, protocol analysis is carried out on the obtained computing power resources, full-stack performance indexes are collected to serve as historical computing power resource use data to be sent to the computing power demand prediction module for modeling and prediction, and an obtained computing power resource demand prediction result is sent to the data integration and output module; and the data integration and output module gathers all the data together and injects a uniform label to finally provide a basis for resource scheduling. According to the invention, zero-intruding panoramic monitoring is realized, the coverage range is wide, and the use condition of computing power resources can be mastered more comprehensively by various application services.

The invention provides a post-table system photovoltaic decomposition method based on photovoltaic output correlation, and relates to the field of power distribution networks, and the method comprises the steps: carrying out the preprocessing of historical measurement data based on min-max normalization; defining an upper envelope line and a lower envelope line of the user net load data, and performing post-meter photovoltaic installed capacity estimation on the basis of the upper envelope line and the lower envelope line; carrying out feature extraction on the typical user load curve based on DBSCAN clustering; establishing a tabular photovoltaic user load fitting model based on the user load characteristic curve, establishing a tabular photovoltaic user photovoltaic output fitting model based on photovoltaic output correlation, and constructing a photovoltaic output correlation coefficient solving model on the basis; and on the basis of the solved photovoltaic output correlation coefficient, in combination with the net load real-time measurement data of the photovoltaic users behind the meter, performing photovoltaic output real-time decomposition behind the meter. According to the method, real-time decomposition of photovoltaic output behind the meter is realized based on limited measurement information, the observability of photovoltaic users behind the meter to the front side of the meter can be enhanced, and an optimal scheduling strategy can be formulated.

Movable grinding equipment relates to the technical field of grinding equipment and comprises a moving trolley, a guardrail, a mechanical arm, a sand changing station, a wire groove and a control cabinet are installed on the top of the moving trolley, a displayer, an operation table and a control screen are installed on the control cabinet, and a grinding tool is installed at the movable end of the mechanical arm. By optimizing a polishing path, adjusting polishing parameters and the like, the polishing quality and efficiency are improved, the production cost is reduced, the competitiveness of automobile production is improved, manual hand actions are integrated on an integral tool, defect detection and calibration can be continuously, effectively and uniformly completed, and the production efficiency is improved by combining an industrial mechanical arm. According to the method, the defect processing work in a large area can be realized, the conventional problems of wrong marking, processing omission and the like of workers are avoided, the method has good observability and recordability, and a good reference model is provided for continuous improvement of the process, so that a uniform judgment standard can be formed.

The invention provides an infrared image fused multi-camera vision-inertial odometer method, which comprises the following steps of: 1, matching a forward-looking camera and a rear-looking camera in a sensor layout, and balancing the perception capability and the computing power consumption of an environment by a matching scheme; constructing a visual residual error of the multi-camera system; 2, formulating a mode selection strategy, and determining to select a visible light mode or an infrared mode as a main operation mode in the operation process of the odometer; after the main mode is selected, the other mode plays an auxiliary role; 3, after modal selection is determined in the step 2, determining which information in the auxiliary modal is not redundant and can be used for auxiliary positioning, and determining the fusion weight of the auxiliary information; and 4, performing estimation on each state quantity based on a tight coupling speedometer, unifying constraints provided by observation of each sensor into an optimization problem, and constructing vision-inertia tight coupling information fusion. According to the method, visible light and infrared information are fully utilized, redundant observation is reduced, and the performance and robustness of the system are improved.

The invention discloses an industrial robot motion pose error calibration method based on constraint solution. The industrial robot motion pose error calibration method comprises the steps that S1, joint angles, tail end coordinates and temperature data of multiple measurement points are collected; s2, correcting the kinematic model by using the thermal elongation and constructing a parameter identification model; s3, constructing a mixed integer nonlinear constraint pool according to mechanical limitation; s4, introducing a semi-definite programming slack variable to convert the non-convex constraint into a linear matrix inequality; s5, combining a primal-dual interior point method and an alternating direction multiplier method to iteratively solve the optimal kinematics parameter correction; s6, introducing a square root information filtering improvement mechanism to correct a state vector square root factor, and calculating an updated nominal kinematics parameter; and S7, based on the condition number of the error Jacobian matrix, judging observability and repeatedly calibrating. According to the method, the problem of precision reduction caused by thermal errors is solved, and the identification precision, the numerical stability and the self-adaptive calibration capability of the kinematics parameters of the robot are improved.

The invention discloses a PCIe link state monitoring system and a monitoring method thereof. The PCIe link state monitoring system comprises a PCIe monitoring subsystem, a PCIe controller subsystem and a PHY (Physical Layer) module, wherein the PCIe controller subsystem and the PHY module are connected through a PIPE interface, and the PCIe monitoring subsystem is used for monitoring state information of a PCIe link; four levels of leaky bucket modules are integrated on the same layer of the PCIe monitoring subsystem, and the four levels of leaky bucket modules are used for dropping correctable error information in the state information of the PCIe link into leaky buckets, carrying out overflow counting to obtain leaky bucket overflow times, carrying out error pattern recognition according to the leaky bucket overflow times and preset different execution thresholds, and outputting the error pattern recognition result. Link recovery is carried out by adopting a progressive link recovery strategy; therefore, extra special equipment does not need to be introduced into the PCIe link, the observability of the PCIe link can be improved, and correctable errors caused by the signal integrity problem on the link can be analyzed and diagnosed in real time, so that a corresponding link recovery strategy is adopted.

The present invention discloses a semi-physical test system for a curvature control method of a rotary steering tool, comprising: a host computer, a real-time simulator and a real main control computing unit; a virtual inclination probe module and a tool guidance characteristic module are implanted in the real-time simulator, and a curvature control method module is implanted in the real main control computing unit. The present application obtains tool guidance parameters according to the well inclination azimuth curvature difference through the curvature control method module, obtains the current well inclination azimuth parameter according to the tool guidance parameter through the tool guidance characteristic module, and obtains the current virtual sensor signal according to the current well inclination azimuth parameter through the virtual inclination probe module, thereby avoiding the high cost and low efficiency problems of full physical testing and the low confidence problem of full digital testing, and improving the accuracy of the control method test without reducing the test integrity.

The invention discloses an effective security domain-based post-power-grid-fault operation adequacy repairing method and system, belongs to the technical field of power grid fault repairing, and aims to solve the problems of conservative static limit, lack of visual representation of multi-section security situation and insufficient real-time cooperative correction capability in a traditional N-1 checking method. According to the method, the dynamic section limit is constructed by introducing the adjustable power flow transfer coefficient, and the visual depiction and the global strategy feasibility identification of the multi-section coupling safety boundary are realized based on the effective safety domain concept; and establishing a convex optimization collaborative repair model which takes the operation adequacy as a guide and takes the minimum total energy consumption of stored energy as a target. The improvement of quota formulation from static state to dynamic state, safety analysis from isolation to coupling and correction decision from experience to optimization is realized, and the observability of the operation state and the accuracy of the scheduling decision after the power grid breaks down are remarkably enhanced.

A multifunctional mechanical arm tail end tool for automatic defect detection, grinding and polishing of automobile paint surfaces relates to the technical field of automobile paint surface grinding and polishing tools and comprises a shell, the shell is assembled at the tail end of an external mechanical arm, and three sets of lifting air cylinders are assembled on the shell. According to the multifunctional mechanical arm end tool for automatic defect detection, grinding and polishing of the automobile paint surface, detection and calibration of defects can be continuously, effectively and uniformly completed, the detection efficiency is improved, the labor intensity of workers is reduced, the labor intensity of workers is reduced, and the working efficiency is improved. Conventional problems such as wrong marking and missing processing of workers are avoided, and good observability and recordability are achieved.

The present invention provides an air conditioner performance test tool and an air conditioner performance test system, which relate to the field of air conditioner testing technology. The air conditioner performance test tool comprises an installation test bench, a first reflector and a second reflector. The first reflector is arranged below the installation test bench, and the second reflector is arranged on the test surface of the installation test bench, and the first reflector is arranged at an angle. Through the double reflection effect of the first reflector and the second reflector, the assembler on the installation test bench can observe the bottom side of the air conditioner to be tested through the observation port, eliminating the blind area of ​​the visual field, so that the bottom side of the air conditioner to be tested can be conveniently and accurately aligned with the assembly installation position, so that the air conditioner to be tested can be quickly assembled in place. Compared with the prior art, the air conditioner performance test tool provided by the present invention can accurately assemble the air conditioner to be tested, avoid the blind area of ​​the visual field, avoid repeated calibration, and improve the assembly efficiency.

The invention relates to a link global topology generation method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: in response to a topology generation instruction for a calling link, performing information collection on node information and link attribute information of each link node on the calling link; under the condition of determining that at least one fuzzy node lacking node information exists in each link node, obtaining a service address identifier of the fuzzy node; performing node information filling processing on the fuzzy nodes based on the service address identifiers to obtain node information of the fuzzy nodes; and performing global topology integration processing according to the information of each node and the attribute information of each link to obtain a calling link global topological graph containing each link node. By adopting the method, the accurate global topological graph can still be generated under the condition that the information of the calling link node is lost.

The application belongs to the technical field of artificial intelligence, and is suitable for the insurance field, and discloses a dynamic insurance process management method, which comprises the following steps: acquiring an actual insurance process, and establishing an insurance process model; constructing a parameterized process template through a visual arrangement platform, defining process execution logic, and generating or adjusting the execution logic and sequence of each business node in the insurance process model; in the running process of the insurance process model, log data generated by the insurance process model is collected, and the log data is processed and cleaned based on stream computing; a log analysis engine is constructed, the processed log data is input into the log analysis engine for analysis, and process optimization suggestions are generated; the analysis results and optimization suggestions generated by the log analysis engine are fed back to the visual arrangement platform, and the process arrangement strategy is adjusted. The application solves the technical problems of difficult fault positioning and lack of intelligent disaster recovery and elastic recovery mechanism caused by high system coupling degree in the existing insurance business system.

The application relates to the technical field of active sonar detection, in particular to a transmission waveform selection method for target wake field disturbance detection, which comprises the following steps: applying uniform engineering constraints to selected engineering realizable waveforms to construct a candidate transmission waveform set of a detection system; equivalent the influence of target wake field disturbance on sound propagation to a time delay perturbation process of multi-path propagation, and establishing a target wake field disturbance sensitivity model accordingly; using the target wake field disturbance sensitivity model, calculating the sensitivity indexes of each candidate transmission waveform in the candidate transmission waveform set and sorting, taking the candidate transmission waveform with the largest sensitivity index as the optimal transmission waveform most suitable for target wake field detection; instructing the transmission end of the detection system to transmit a sound wave signal based on the optimal transmission waveform. The method can improve the observability of weak propagation time-varying characteristics caused by wake disturbance, and make the selection of the transmission waveform have stronger explainability and scene adaptation ability.

The utility model discloses automatic detection equipment for operation of an air source heat pump, and relates to the technical field of air source heat pump detection devices, a rotating shaft is arranged in a detector main body, the outer side of the rotating shaft is connected with a rotating blade, the rotating blade is located in a water outlet pipe, the front end of the rotating shaft is connected with a rotating block, and an inductor is arranged in the detector main body. A spring shaft is arranged at the top of the sensor, a sensing block is connected to the top of the spring shaft, and the rotating block can be attached to the sensing block; a first chain wheel is arranged on the outer side of the rotating shaft, a chain is meshed with the outer side of the first chain wheel, a second chain wheel is meshed with the left end of the chain, and a pressure sensing plate is connected to the rear end of the second chain wheel and located in the water outlet pipe. When a heat source is transmitted in the water outlet pipe, the rotating blade can be pushed to rotate, so that the rotating blade drives the rotating shaft and the rotating block to rotate, the rotating block pushes the induction block to contract and reset, and the flow speed in the water outlet pipe is judged according to the contraction and reset frequency of the induction block.

The application discloses a bamboo bending device which is mainly composed of a speed-regulating motor, a belt transmission, a bending arm, a gas-liquid mixing cylinder, a force-adding pressure head, a bending die, a fixed die, a bending roller, a temperature control device and a heating device. The bending arm is fixed on a main shaft through a key groove, and the overall shape of the bending arm is similar to an L type. The bending die is fixed on the bending arm through a shaft, and the fixed die is fixed on a box body through a stand column. The gas-liquid mixing cylinder is fixed on a single-ear or double-ear cylinder base through a screw, and a stand plate is fixed on the cylinder base through a screw, so that the gas-liquid mixing cylinder can rotate by a certain angle on the bending arm. The force-adding pressure head is fixed on a cylinder head through a screw, and a linear slide rail is fixed on the force-adding pressure head through a screw, so that the movement track of the force-adding pressure head is positioned. The bending roller is fixed on the force-adding pressure head through a fixed shaft, so that the bending die, the fixed die and the bending roller can be just put into a bamboo and fixed in the initial position.

The invention discloses a double-loop water chemical multi-parameter coordinated regulation and control test device for nuclear power material corrosion simulation. The double-loop water chemical multi-parameter coordinated regulation and control test device comprises a low-pressure water chemical pretreatment loop, a high-temperature and high-pressure corrosion simulation loop and a control module, the low-pressure water chemical pretreatment loop is connected with the high-temperature and high-pressure corrosion simulation loop through a pipeline and a valve, so that the test medium regulated and controlled by the low-pressure water chemical pretreatment loop is conveyed to the high-temperature and high-pressure corrosion simulation loop and flows back to the low-pressure water chemical pretreatment loop; the control module is electrically connected with the first monitoring component, the second monitoring component, the dissolved hydrogen / oxygen control unit, the dosing unit and the autoclave heating unit, receives and analyzes the hydrochemical parameter deviation of the low-pressure hydrochemical pretreatment loop and the high-temperature and high-pressure corrosion simulation loop by adopting a PID (Proportion Integration Differentiation) regulation algorithm, and dynamically regulates the working state of the execution unit; therefore, multi-parameter coordinated regulation and control are realized.

The invention discloses an intelligent water and fertilizer integrated irrigation machine with an accurate proportioning mechanism, and relates to the technical field of agricultural irrigation machines. The mixing bin is fixedly connected with the device shell, a transmission mechanism is arranged in the device shell, a raw material receiving bin is arranged at the top of the device shell, the device shell is connected with the raw material receiving bin through the transmission mechanism, a filter box is arranged at the rear end of the mixing bin, and the bottom of the filter box is connected with the mixing bin through an electromagnetic valve; a driving motor is arranged in the device shell, a mixing mechanism is arranged in the mixing bin, the driving motor can drive the conveying mechanism and the mixing mechanism to operate, and a filtering mechanism is arranged in the filtering box. Through the arrangement of the transmission mechanism, the transmission mechanism can adjust the usage amount of raw materials, so that the equipment can adjust the usage amount of the water and fertilizer raw materials more accurately, and through the arrangement of the mixing mechanism, when the transmission mechanism is started to operate by the driving motor, the mixing mechanism can also operate; therefore, the water and fertilizer raw materials can be uniformly mixed in the mixing bin more conveniently.

The invention relates to the technical field of front-end development, and provides a method, system and equipment for establishing front-end observability at a browser end, and the method comprises the following steps: carrying out webpage loading detection and basic information collection when a browser loads a webpage, and judging whether an entry file of a current webpage needs to be intercepted according to the collected basic information; when the entry file of the current webpage needs to be intercepted, injecting the JS file of the front-end observable client into the intercepted entry file of the current webpage; in the process of loading the current webpage, executing initialization of the front-end observable client by loading an entry file of a JS file injected into the front-end observable client; and after the front-end observable client is initialized, a notification that the front-end observable client is injected and loaded successfully is sent to a user. According to the method, the system and the equipment for establishing the front-end observability at the browser end, the front-end observability construction which is more flexible, easy to operate and high in efficiency can be realized.

The embodiment of the invention relates to the technical field of communication, and discloses an audio and video device and a corresponding multi-device data transmission method, comprising the following steps: a master device acquires a video stream from at least one slave device so as to acquire a multi-channel video stream formed by the video stream of the master device and the video stream of the at least one slave device; splicing the multiple paths of video streams to obtain a spliced video stream; the master device obtains the audio stream from the at least one slave device so as to obtain at least one audio stream formed by the audio stream of the master device and / or the audio stream of the at least one slave device; and adding at least one audio stream to the spliced video stream to obtain a synthetic video stream to be displayed. Through establishing a joint cooperative transmission channel among a plurality of audio and video devices, the fast sharing of audio data and video data is realized, and the efficiency and quality of conference communication are greatly improved.

This invention discloses a data task orchestration method that supports end-to-end tracing and service-oriented architecture. It accesses multi-source heterogeneous data through pluggable data source adapter components and transforms the data into a unified internal data model. The process model includes start event nodes, batch processing task nodes, stream processing task nodes, gateway nodes, and end event nodes. It breaks the limitations of traditional static FGA models, supporting mixed orchestration of batch and stream processing within the same process model, as well as complex process control based on parallel and inclusive gateways. The traceId mechanism enables end-to-end task tracing, facilitating fault location and operational monitoring.

The present invention discloses a method for tracking the visibility of in-game advertisements based on ray projection, and relates to the technical field of image analysis. The technical key points are as follows: using the rate of change of pixel points within a specific time, an image is divided into a non-projection area and a projection area, so that the area with the least impact on consumers is determined before advertisement projection, thereby facilitating the subsequent placement of advertisements in the best viewing position for consumers as much as possible without affecting the consumer's gaming experience, and providing a basis for improving the observability of advertisements; in addition, the color difference comparison value between the image to be advertised and the projection area is compared with the adjustment threshold interval to obtain an advertisement suitable for the current projection game scene, thereby reducing the color conflict between the advertisement image and the game projection image while ensuring the clear display of the advertisement image, thereby further improving the observability of the advertisement image, and at the same time will not affect the normal observation of consumers.

The invention relates to the field of non-cooperative target positioning, and discloses a multi-sight cooperative positioning and multi-tracking star approaching configuration optimization algorithm in a non-cooperative target rapid approaching process. Firstly, an orbital kinetic equation of a target is used as a state equation; then, multiple tracking satellites use a spaceborne camera to measure the sight angle of the target relative to the tracking satellites, and a measurement model is established; and finally, estimating orbit parameters of the target based on an extended Kalman filter (EKF) algorithm. On the basis, the berthing orbit height of each tracking satellite and the true anomaly during orbital transfer serve as parameters to be optimized, the root-mean-square error (RMSE) estimated by the target position and the intersection duration t serve as target functions, an improved NSGA-II algorithm is used for optimizing, and the berthing orbit height of each tracking satellite and the true anomaly during orbital transfer are determined; and the target positioning precision is improved. The double-sight-line cooperative positioning system provided by the invention is high in observability, and meets the requirement of accurate positioning in the approaching process of non-cooperative targets in different planes; the approximate configuration is optimized by combining the designed improved NSGA-II algorithm, and the two tracking satellites have the advantages of high positioning precision, short task time consumption and the like under the optimal configuration.

The application relates to a method for testing the electrical signal integrity of a memory high-speed read-write process, and relates to the technical field of memory electrical signal integrity testing, which comprises the following steps: when a read-after-write sequence or a write-after-read sequence is executed on a to-be-tested memory, DQ signals, DQS signals, clock signals and read-write command signals are synchronously collected; the time point when the last valid data bit of a previous read-write operation ends is determined according to the read-write command signals; the DQS sampling edge of a next read-write operation is determined according to the DQS signals; a bus release observation interval is set between the two; the voltage deviation of one or more DQ lines relative to a preset static voltage level range is measured; a time interval between a next read-write command sending time point and an ending time point is taken as a starting interval; the starting interval is changed and the measurement is repeated; in the case that the voltage deviation exceeds a preset threshold when the DQS sampling edge arrives, the corresponding DQ line, read-write switching sequence type and starting interval are recorded, and a test result is formed, so that the release residual influence can be located.

The application relates to a method and system for dynamically optimizing CPU scheduling based on thread affinity, and belongs to the technical field of computer operating system performance optimization. The system constructs an affinity thread graph of a target thread in real time through eBPF, analyzes the CPU resident distribution of the affinity thread, integrates the affinity information into CPU selection, task queuing and dispatching logic, realizes the same core / NUMA node scheduling of the target thread and the affinity thread, reduces the cross-core overhead, and improves the execution efficiency of the target thread.

The invention provides a SmartNIC network card multi-dimensional data acquisition method for heterogeneous computing, and relates to the technical field of network management, the method comprises the following steps: taking a SmartNIC network card as a data hub, and carrying out active query of a running state to obtain M heterogeneous component state data streams; carrying out cross-calculation component alignment segmentation, and constructing K associated behavior portraits; performing performance mode mining, and constructing a cross-component behavior graph; after interference mode recognition is carried out, interference root cause quantitative analysis is carried out according to the K component calling chains, and an interference root component and an interference propagation quantitative link are obtained; and carrying out dynamic balancing on closed-loop resources of the SmartNIC network card. According to the method and the device, the technical problems that the resource scheduling and task scheduling efficiency is low and the overall performance of the system is influenced due to the fact that the prior art generally focuses on monitoring of a single computing resource and neglects the synergistic effect among a plurality of computing components in a heterogeneous computing environment are solved.

The invention provides a distributed photovoltaic low-voltage distribution network voltage estimation method and system, and belongs to the field of distribution network voltage assessment, and the method comprises the steps: 1, inputting the voltage data, time information and space information measured by a measurement device into a learning supervision regression model, the learning supervised regression model maps voltage data measured by the measuring device to adjacent low-voltage power distribution network nodes through a random forest algorithm to obtain voltage data of the adjacent low-voltage power distribution network nodes; step 2, training the learning supervised regression model, and when a regression index is minimum, stopping training to obtain a trained learning supervised regression model; 3, performing voltage estimation on unmonitored nodes in the low-voltage power distribution network by using the trained learning supervision regression model; and based on the measurement data of the limited node, mapping the measurement data of the limited node to the adjacent node without the measurement device, and further carrying out voltage estimation on the unmonitored node in the low-voltage power distribution network containing the distributed photovoltaic.

This invention relates to the field of computer security technology, specifically to a verifiable change access control method and system based on SET and dual atomic locks. The method includes generating a unique hash identifier for the request intent: intent_hash; constructing and issuing a certificate, which at least includes a secure execution type (SET), an expiration date, a replay protection field, a root of evidence, and a signature; binding the certificate to the intent_hash; performing expiration date checks through fast gating; and performing atomic occupancy operations based on the replay protection key. This verifiable change access control method and system based on SET and dual atomic locks achieves an end-to-end security closed loop, eliminating the possibility of execution bypass; providing industrial-grade consistency and replay protection guarantees through dual atomic operations and dual-channel consistency gating; constructing a self-verifying and tamper-proof chain of evidence, greatly improving auditability; forming a tiered defense-in-depth system, enhancing the overall system's robustness and resistance to censorship; and improving the system's determinism and observability.

The invention relates to the technical field of metallurgical process control, and discloses a molten pool smelting intelligent dynamic control system based on multi-parameter coupling, which comprises a global perception sensor network, a data fusion and state evaluation module and a precise execution control system. According to the system, heat-fluidization multivariable variables of a molten pool are obtained at high frequency through a global perception sensor network, a data fusion and state evaluation module completes prediction-updating through Kalman filtering, abnormal value elimination is carried out through a Mahalanobis distance threshold, working condition drifting is restrained in combination with self-adaptive R / Q, and the state of the molten pool is evaluated. State evaluation is carried out, the middle temperature, the copper matte grade, the liquid level, the change rate and the circulation strength are generated, an LSTM model is adopted for short-time prediction, control suggestions are generated, an amplitude / slope limiting function and a safety interlocking mechanism are matched, a closed-loop execution process is formed, the accurate execution control system converts the control suggestions into actual control actions, and the actual control actions are controlled. And the state of the molten pool is accurately adapted, operation feedback and state monitoring data are transmitted back, and the intelligent control operation efficiency is high.

The application belongs to the technical field of integrated navigation and precision measurement, and particularly relates to an integrated measurement platform based on a high-precision inertial navigation system and a global satellite positioning system, which comprises a master control unit, a satellite positioning acquisition unit, an inertial measurement unit, a visual acquisition unit, a data preprocessing module, a data fusion processing module and a fuzzy adaptive fusion device. The data fusion module constructs a cascaded Kalman filter architecture: a first sub-filter performs satellite / inertial ultra-tight integrated navigation, and uses inertial information to assist the satellite tracking loop; a second sub-filter performs visual / inertial tight integrated navigation, and suppresses inertial drift through visual feature constraints. The fuzzy adaptive fusion device dynamically adjusts the weights of the two sub-filters according to the satellite signal carrier-to-noise ratio and the loop locking state. Through the heterogeneous fusion architecture and the adaptive cooperative mechanism, the application realizes continuous high-precision positioning measurement in complex scenes.