2119 results about "Control function" patented technology

The invention discloses a stamping part forming precision dynamic monitoring system based on digital twinning, and particularly relates to the field of general monitoring and adjusting systems, and the stamping part forming precision dynamic monitoring system comprises a digital twinning modeling module, a twinning simulation prediction module, an intelligent function coupling decision module and a physical execution closed loop feedback module; the digital twinning modeling module collects stamping related data through a multi-source sensor, and constructs and dynamically updates a geometric, physical and behavior three-level digital twinning body after preprocessing; the twinborn body simulation prediction module is based on three-stage twinborn bodies and is combined with parameter initialization, double-source simulation, result fusion and threshold decision to realize pre-judgment of forming precision; the intelligent function coupling decision-making module generates a targeted regulation and control instruction through a basic regulation and control function and a dynamic coupling mechanism according to the precision out-of-tolerance signal and the physical data; and the physical execution closed-loop feedback module completes instruction execution, state perception and model correction through iterative loop, realizes dynamic monitoring of the forming precision of the stamping part, and improves the forming precision stability and the production efficiency of the stamping part.

The invention discloses a grabbing posture generation method and system based on a multi-modal large model, and the method comprises the steps: carrying out the cross-modal matching of visual features and semantic features in the multi-modal large model when a voice instruction and an RGB image are inputted, and obtaining the position information of a control function code and a target object; when an RGB image with a hand drawing instruction is input, obtaining position information of a control function code, a target object and a path point; calculating the point cloud data of the target object according to the position information of the target object and the depth information, inputting the ideal point cloud of the target object into a target recognition network model after preprocessing, carrying out the grabbing region recognition of the point cloud of the target object region, outputting a region with high grabbing confidence, and mapping a real coordinate system; constructing a point cloud bounding box, and generating a grabbing posture candidate set; the grabbing posture with the highest quality is selected as the grabbing posture of the robot by calculating the grabbing posture candidate score; and executing a target grabbing task in combination with the control function code and the grabbing path.

The invention discloses a coordinated regulation and control system and method for dynamically testing pod environmental parameters, and the system comprises a multi-source sensor array which comprises a plurality of sensors used for collecting various environmental parameters in a pod in real time; the central controller is used for fusing sensor data and digital twinborn prediction information in real time through an FPGA + GPU heterogeneous architecture, dynamically generating and optimizing a regulation and control strategy based on a deep reinforcement learning algorithm, and synchronously coordinating an execution mechanism group to realize multi-physics field coupling control; the digital twinning interface is used for synchronizing the physical test environment and the bidirectional data flow of the digital twinning interface in real time, calculating and predicting the environment parameter evolution trend based on multi-physics field coupling, and feeding back closed-loop correction model parameters through reinforcement learning; and the execution mechanism group is used for adjusting the environmental parameters according to the control instruction. The system has the testing environment control functions of multi-parameter coordinated regulation and control, low-delay dynamic response and intelligent optimization capability, and the accuracy and testing efficiency of complex working condition simulation can be improved.

The invention provides a two-wheeled electric vehicle control system and method, and the system comprises a user side control platform which is used for detecting the operation of a user on a reverse turning handle, and generating a corresponding control instruction according to the pre-configured function setting; the communication module is used for bidirectionally transmitting instruction signals and vehicle state information in real time between the user end control platform and the vehicle end control system; and the vehicle end control system is used for receiving and analyzing the control instruction, judging the running or static state of the vehicle, executing kinetic energy recovery braking or driving mode switching in the running state, executing a reversing function or a self-defining function in the static state, and feeding back a vehicle execution result or vehicle state information through the communication module. The technical problems that in the prior art, the control function of a control terminal is single, the operation mode is not convenient enough, and the integration degree of the control terminal and vehicle functions is low are at least solved.

The invention discloses a communication method for an enterprise network and remote router equipment of a DCS (Distributed Control System). A communication adaptation module is arranged at an enterprise network end and comprises a protocol conversion unit, a data encryption unit, a flow regulation and control unit and a timestamp embedding unit; the far-end router equipment end is provided with a corresponding reverse communication adaptation module. Two-way interaction of data and control instructions is realized through a two-way communication link, and a dynamic link detection and repair sub-module is configured to guarantee stability of the link. According to the method, the problems of protocol compatibility, data security, flow regulation and control, time management, link maintenance and the like are solved, the communication efficiency and quality are improved, efficient, safe and stable operation of remote communication and control functions of the DCS in industrial production is ensured, and the method has a good application prospect.

The invention provides a crane with vibration fatigue damage deduction and control functions, which comprises a first sample generation module used for generating a first sample data set taking a generated lifting point and load combination as input and taking the fatigue life cycle index as output; the second sample generation module is used for generating a second sample data set taking the control parameter as input and the lifting dynamic load coefficient as output; and the optimization module is used for carrying out load combination according to an output result of the second prediction model and then inputting the load combination result into the first prediction model, carrying out fatigue residual life deduction of the crane, optimizing control parameters and realizing control on fatigue damage of the crane. According to the method, the influence degree of the dynamic load effect on the fatigue life can be deduced, a fatigue damage control strategy is given, the control parameters matched with the deduction result are fed back to the physical entity, regulation, control, improvement and upgrading of the physical entity are guided, fatigue damage delay and control of the crane are achieved, and the method has important engineering value.

The invention provides a control equipment networking communication method and device, equipment and a storage medium, and the method comprises the steps: carrying out the control function feature extraction of access equipment, obtaining a control type and a communication demand, and executing control cooperative perception processing to generate a control function descriptor; calculating a control criticality index based on the descriptor, executing control-oriented link establishment processing, and generating a control-sensitive routing table; classifying and marking the communication data to obtain service labels, executing control correlation route aggregation processing, and generating a dynamic route execution plan; time slot allocation of control period perception is carried out on network bandwidth resources, time slot division is established, data transmission time sequence control is executed, and networking data transmission between devices is achieved. According to the method, control function perception and control criticality calculation are introduced, so that the network identifies the importance degrees of different control data, and differential transmission of the control data is realized by controlling time slot distribution of correlation routing aggregation and control period synchronization.

The invention discloses an NAND Flash bad block management method and system based on artificial intelligence, and belongs to the technical field of solid-state storage, the method comprises the following steps: S1, carrying out multi-dimensional data acquisition and preprocessing on a bad Page based on preset parameters and preset indexes; s2, inputting the preprocessed multi-dimensional data into a space-time diagram convolutional network model, and outputting the failure probability of each Page; and S3, according to the failure probability obtained in the step S2, a hierarchical isolation strategy is determined, and then error correction code dynamic loading and preventive data migration are carried out. Actual measurement shows that more than 85% of normal Pages can be recycled in a Block with a single bad page, and the effective capacity is improved by 10 times compared with that of a traditional scheme; the overall service life of the chip is prolonged by about 30% by reducing the discarding of the whole chip caused by local damaged pages. The method also has a real-time risk management and control function, the prediction accuracy of the AI model to a potential risk area reaches 92%, and the secondary failure rate is reduced by 70% compared with a static isolation scheme.

The invention discloses an array antenna phase-only real-time beam scanning and side lobe control method based on machine learning. Firstly, array geometry, scanning angles and minor lobe indexes are set; and then, array element excitation phases meeting requirements are rapidly synthesized by using a phase-only fast Fourier FFT (Fast Fourier Transform) algorithm. Constructing a training data set by taking the scanning angle and the minor lobe index as input and the corresponding phase distribution as output; training a neural network by using the data set to obtain a real-time prediction model from initial excitation distribution to accurate excitation distribution; and according to a target expected directional diagram scanning angle and a sidelobe feature, inputting the scanning angle and the sidelobe feature into a neural network to predict and obtain an array element excitation phase so as to realize a real-time phase-only beam and sidelobe control function. Input dimensions are reduced by extracting key features of a directional diagram, data generation is accelerated by means of FFT, real-time performance and precision are both considered, and the method is suitable for fast beam scheduling tasks of various array antennas.

The invention relates to the technical field of iron wire electrogalvanizing passivation monitoring, and discloses an iron wire electrogalvanizing passivation intelligent monitoring system with self-adaptive coating thickness control, and the system comprises a coating parameter analysis module which can analyze the matching degree of the coating thickness and the passivation effect according to the equipment operation state information, and generates a parameter analysis parameter set; based on the parameter set, the passivation feature extraction module extracts a space feature value and a distribution variable quantity of a passivation film on the surface of the iron wire to generate an optimized parameter set; the thickness correlation modeling module analyzes the correlation between the coating thickness and the passivation characteristics and generates a dynamic regulation and control result; the abnormal intervention adjustment module extracts a real-time feature matching rate and the like to generate an intervention adjustment data set; and the dynamic feedback regulation and control module analyzes the linkage demand and generates a feedback data table. The system can monitor the iron wire electrogalvanizing passivation process in a self-adaptive mode, the coating thickness is accurately regulated and controlled, and the passivation effect stability and the production efficiency are improved.

The invention provides a training and examination robot system based on a multi-modal large model, equipment and a computer program product, and aims to accelerate training transformation and upgrading and improve coping ability as basic appeals, and based on regular training work of teams, training and examination robot, sensor acquisition equipment and big data platform three-terminal equipment. A multi-modal data acquisition layer for realizing real-time attitude detection and motion capture by using an edge calculation algorithm, a data processing and analysis layer for finishing real-time image processing through localized edge calculation in a network-free or power-free environment, and system control functions for finishing intelligent decision making, evaluation, error correction and the like are provided; an intelligent decision-making and control layer of a training subject rewriting decision-making mechanism is established, cross-modal collaborative learning middleware is utilized to realize modal representation consistency while training subject transposition evaluation is realized, training and assessment operations of the same subject of multiple persons or different subjects of multiple persons are supported, and the training and assessment efficiency is remarkably improved.

The invention provides an integrated vehicle-mounted system compatible with CTCS (China Train Control System) and CBTC (Communication Based Train Control). Comprising an integrated vehicle-mounted main control unit which is used for realizing a train control function of a CTCS system and a CBTC system, and controlling a CTCS vehicle-mounted module and a CBTC vehicle-mounted module to perform vehicle control right switching when a train crosses jurisdictions of different systems; the man-machine interaction unit is used for displaying a man-machine interaction interface in a system corresponding to the current train control mode according to the current train control mode; the sensor unit is used for collecting operation data of a train in real time and sending the operation data to the integrated vehicle-mounted main control unit; and the vehicle-mounted interface unit is used for realizing electrical connection between the CTCS vehicle-mounted module and the train and between the CBTC vehicle-mounted module and the train, and the vehicle-mounted interface unit is adaptive to the CTCS system interface and the CBTC system interface and supports a common interface mode and an independent interface mode. According to the invention, integrated design is realized, compatibility of CTCS and CBTC systems is realized, and the rapid switching capability and compatibility of train systems are improved.

The invention provides an AI-based data cooling system with a self-adaptive regulation and control function, and relates to the technical field of data cooling, and the AI-based data cooling system comprises the following steps: collecting equipment operation parameters and operation environment parameters of database equipment; calculating a multi-dimensional load value of the equipment according to the standard operation parameters, and generating a heat dissipation strategy based on a preset AI customized model, the standard environment parameters and the multi-dimensional load of the equipment in combination with a preset temperature safety threshold; and the heat dissipation effect is judged, and the heat dissipation strategy is adjusted. According to the method, rapid closed-loop regulation and control are achieved through dynamic weight optimization and the BP neural network, CPU, memory and I / O multi-dimensional loads are accurately quantified, the temperature trend is pre-judged, and PUE and energy consumption of a data center are remarkably reduced by means of a hierarchical priority strategy; through an online learning model and execution deviation alarm and feedback optimization, manual intervention is reduced, the adaptability is improved, and the deployment cost is reduced through lightweight design.

The invention discloses a range extender power generation system and a control method, and relates to the technical field of power systems. The system comprises an energy storage module, a driving module, a range extender module and a control module, the control module combines model predictive control and reinforcement learning and optimizes energy distribution, so that the system can automatically select an optimal strategy according to different driving working conditions, the energy utilization efficiency is further improved, the total energy consumption is reduced, and the driving efficiency is improved. The efficient cooperative work of the internal combustion engine, the generator and the driving motor is realized; self-adaptive gear shifting control is carried out based on real-time vehicle working conditions, path prediction information and motor efficiency, and it is ensured that a driving motor always works in an efficient area. Besides, the system also has fault diagnosis and fault-tolerant control functions, can detect the performance deviation of the engine and the generator in real time, automatically enters a fault-tolerant mode when a fault occurs, and ensures that the vehicle can safely run to a preset place even under the fault condition by cutting off or adjusting the output of the engine.

The invention provides an intelligent vehicle type identification and dynamic regulation and control loading system, and compared with the prior art, the intelligent vehicle type identification and dynamic regulation and control loading system comprises an arrangement module, an identification module, a loading control module, a dynamic regulation and control module and a real-time monitoring platform. The arrangement module intelligently dispatches and matches vehicles according to transportation requirements; the identification module accurately identifies vehicle information through an image identification algorithm; the loading control module controls the loading device to automatically complete material loading through a PLC. The dynamic regulation and control module adjusts the loading speed according to the real-time loading state, and overload or too slow loading is avoided; and the real-time monitoring platform provides transportation task progress monitoring and abnormity alarming, so that the loading process is ensured to be carried out smoothly. According to the system, the utilization efficiency of transportation resources can be effectively improved, the transportation cost is reduced, and the automation and intelligence level of loading operation is improved. Through intelligent scheduling and dynamic regulation and control, it is ensured that the material loading process is more efficient and accurate.

The invention provides a smart home door and window control system, which is applied to the technical field of doors and windows, and realizes the combination of hardware and software of smart doors and windows through the integration of a door and window hardware structure and a control software structure. A signal acquisition module is arranged to be connected with an internal control end and an external port of the system to obtain user command information, door and window state information and external environment information; various standard data information is fused through the data processing module; and the data decision-making module executes weighted operation to generate control information, so that intelligent control on door and window hardware is realized. Therefore, the intelligent household door and window control system realizes the control function of intelligent electric door and window products and other whole-house intelligent household appliances, and has the advantages of unified communication protocol, realization of multi-source data fusion, improvement of control decision intelligence, enhancement of system security and privacy protection.

A system is provided for implementing trajectory analysis entry controls. A trajectory analysis entry control system is implemented in a vehicle, and supports remote and automatic entry control functions for the vehicle. For example the system triggers various automatic entry controls functions, such as remotely unlocking doors and / or a trunk of a vehicle, by tracking and analyzing a user's trajectory of movement while they are approaching the vehicle. A system includes a user identification device to identify whether a user is authorized to access the vehicle, such as a driver. The system also includes a trajectory tracking device that determines a trajectory of the user with respect to the vehicle. As the user's trajectory is determined to be approaching the vehicle, the trajectory tracking device further determines which entry point of the vehicle the user is approaching and automatically engages an automatic unlocking of that access point of the vehicle.

The invention relates to a monitoring method for prediction and early warning of hidden leakage of a concrete dam, and aims to solve the technical problem of lack of timely prediction and early warning of hidden leakage danger of the dam at present, and adopts the technical scheme that a long and short-term memory network model fused with an attention mechanism is constructed, and leakage data is modeled and predicted; an improved CUSUM change point detection algorithm is introduced, a sliding monitoring window and a residual threshold are set, an accumulated residual between a predicted value and a measured value is calculated, the accumulated residual is compared with the threshold after being processed by a control function, the leakage trend is recognized and early warned in advance, and a real-time meteorological sensitive factor is introduced, so that the leakage trend is accurately detected. The monitoring sensitivity is dynamically adjusted under extreme events such as rainstorm and earthquake, and the response capability to the sudden leakage risk is improved. The early warning accuracy and timeliness of the dam leakage accident can be effectively improved, time is won for dangerous case disposal, and the life and property safety of people is guaranteed.

The present invention relates to the technical field of floater-actuated valves, and in particular to a fire valve structure having an automatic liquid level control function. The fire valve structure comprises a valve body; one end of the valve body is fixedly connected to an adjustment pipe, and the other end of the valve body is fixedly connected to a connecting unit; an assembling unit is slidably connected onto the connecting unit; a control unit is installed in the valve body; a piston unit is slidably installed in the adjustment pipe and located on one end of the control unit; the other end of the control unit is slidably connected to a flow guide piece; a rubber gasket is installed between the connecting unit and the assembling unit. According to the fire valve structure of the present invention, an annular floating ball is mainly designed, when water flow is too large, the annular floating ball moves upwards to shorten the distance until a conical valve core and an annular valve core are closed, so as to reduce the water flow in the valve body, and when the water flow is too small, the annular floating ball moves downwards, and then the two valve cores are opened to increase the water flow in the valve body, so as to regulate and control the liquid level in the valve body, thereby allowing for regulation and control of the liquid level in the valve body, stable control of the liquid level in the valve body, and floater-based automatic adjustment of the liquid level of the fire valve.

The invention discloses a GIS cable terminal interface defect simulation and multi-element detection method, cable terminal interface defects are accurately simulated through modular design, multi-element sensing monitoring technologies are integrated, comprehensive monitoring of multiple operating parameters of a cable terminal is realized, and the method comprises the following steps of: combining actual operating conditions and research requirements to obtain a multi-element sensing monitoring system; according to the method, through modularized air gap simulation and stress regulation and control functions, flexible modularized design is adopted, a user can adjust the air gap form and stress distribution according to the experiment requirement, and the test accuracy is improved. Therefore, the working states of the cable terminal under different working conditions are simulated, meanwhile, a multi-state monitoring system is integrated, multiple key parameters such as temperature, pressure and partial discharge at the interface of the cable terminal can be synchronously detected, comprehensive operation data can be acquired in real time, and accurate support is provided for equipment performance evaluation.

The invention discloses a wheel speed calculation method, device and system and a storage medium, which are used for ensuring that a vehicle driving anti-skid control function is normal when a wheel speed sensor of a tire fails. The method comprises the steps that when it is detected that a wheel speed sensor corresponding to a first tire of a vehicle fails, the driving state of the vehicle is obtained; when the driving state of the vehicle represents that the vehicle is in the starting state, the acceleration integral speed is determined, and the acceleration integral speed is the integral speed obtained by conducting integration according to the longitudinal acceleration of the vehicle; substituting the acceleration integral speed into a first preset formula for calculation, and taking a calculation result of the first preset formula as a first calculation value of the current wheel speed of the first tire; and determining the first calculated value of the current wheel speed of the first tire as the final value of the current wheel speed of the first tire. By adopting the scheme provided by the invention, when the wheel speed sensor of the first tire fails, the normal driving anti-skid control function of the vehicle is ensured.

The invention relates to the technical field of circuit breakers, in particular to a semi-solid circuit breaker with an intelligent regulation and control function based on a photovoltaic system, which comprises a first acquisition module, a second acquisition module and a control module, the filtering window is used for acquiring to-be-filtered electrical data of the photovoltaic system and the to-be-filtered electrical data by using the semi-solid-state circuit breaker; the second acquisition module is used for acquiring filtering data of the to-be-filtered electrical data; and the regulation and control module is used for regulating and controlling the photovoltaic system according to the filtering data. And the filtering process of the electrical data of the photovoltaic system acquired by the semi-solid circuit breaker is optimized, so that the quality of the filtering data can be improved, and the effect of subsequently regulating and controlling the photovoltaic system based on the filtering data can be ensured.

The embodiment of the invention provides a coupling network asynchronous dynamic intermittent safety control method and system, and the method comprises the steps: obtaining multiple attack signals comprising an injection attack signal and a replacement attack signal after building a dynamic model of a following network, a target network and a state error variable; and setting an intermittent controller according to the dynamic network model and the multiple attack signals, and setting a dynamic mechanism based on an exponential function to convert a state error variable into an interval control function. Wherein the interval control function is used for realizing security mean square synchronization control between the following network model and the target network model. According to the method, the asynchronous anti-attack intermittent dynamic cooperative control strategy oriented to the complex coupled network can be constructed based on an average intermittent control rate and dynamic event trigger threshold coupling method by utilizing a node self-adaptive dual spoofing attack probability model, and the problems of difficulty in multi-attack modeling and insufficient control strategy collaboration can be relieved.

The embodiment of the invention relates to a redundancy switching method for a controller, computing equipment and a storage medium. The method comprises the following steps: monitoring state information of current main equipment in a first main control unit and a second main control unit by a redundancy interaction switching unit so as to generate a redundancy monitoring signal based on the monitored state information; in response to determining that the redundancy monitoring signal indicates to perform redundancy switching, the switch switching unit cuts off the communication connection with the current master device, and the current slave device in the first master control unit and the second master control unit is switched to a new master device; and a new main device in the first main control unit and the second main control unit processes the data received by the controller, executes the logic control function of the controller, and performs data transmission through the base plate high-speed connector. Therefore, the redundancy switching speed of the single board card and the single module can be effectively improved, the space requirement is small, the redundancy control function can be realized by being carried on the single board card and the single module, and the hardware cost is greatly saved.

The invention provides a compensation balance system and method of an electrodynamic transducer, and aims to solve the following problems in the prior art: a traditional electrodynamic sound source transducer needs to realize large-volume displacement in a low-frequency application scene, but the flexibility of an elastic suspension support of the traditional electrodynamic sound source transducer is insufficient to bear hydrostatic pressure; meanwhile, traditional passive and active compensation modes have challenges in the aspects of delay and stability. In order to solve the problems, the compensation balance system and method of the electrodynamic transducer mainly comprise an underwater acoustic transducer, a low-pressure middle cabin and a high-pressure gas cylinder, and a system self-checking function, a transducer piston position balance control function and a transducer fuzzy self-adaptive control function are integrated. The defects in the prior art are effectively overcome, and balance between the inner cavity of the transducer and the external hydrostatic pressure can be rapidly achieved. In addition, the control process is further simplified by determining the target control quantity, and the overall performance of the system is improved.

The invention discloses a high-precision temperature control method and system for a photoetching machine, and belongs to the technical field of photoetching machine temperature control. The method comprises the following steps: acquiring a temperature array on the lower surface of a mask, heat flux density distribution of a bearing surface of an exposure table and a hot pressure difference signal of an air floating layer, carrying out feature coding, and constructing a high-dimensional thermal coupling situation feature matrix; a dynamic thermal weight correlation map is generated based on the matrix, exposure key nodes serve as anchor points, and explicit modeling is conducted on nonlinear thermal paths among the nodes through a graph neural network; further calculating the spatial gradient change rate of the heat flux per unit area of the mask region according to the thermal weight map, and mapping the spatial gradient change rate to an exposure table temperature control array to generate a nonlinear control function curved surface; and dynamically adjusting power output and response delay parameters of the local heating unit according to the control function, so that dynamic thermal field equalization with nanoscale precision can be realized, thermal drift is effectively inhibited, and the photoetching imaging quality and the yield of an advanced process are improved.

A five-axis numerical control glue dispenser control method based on track adjustment comprises the steps that a UG model generates a G code through a rear processor, and a feature adjustment point of a track is marked in the G code; loading and generating a debugging point list according to the G code, acquiring debugging information of a debugging list, and generating debugging data according to a preset rule; judging whether the debugging point information is modified or not, if the debugging point information is not modified, running the debugged G code, judging whether the debugging point information is modified or not when the G code runs again, and controlling the five-axis numerical control dispenser to run by running the debugged G code. The graphical easy-to-use operation interface is used for completing numerical control program generation, the special glue dispensing track and speed adjusting function, the special glue dispensing amount and switch control function and the like are achieved, and the technical requirements of glue dispensing are met. The overall matching method can effectively solve the technical problems which cannot be solved through a traditional control method.

The invention discloses a wind and light energy storage power generation distribution control method and system. The method comprises the following steps: acquiring related parameters of a wind and light energy storage system; a multi-target control function is constructed based on a multi-target Harris eagle optimization algorithm, and system constraint conditions are combined in the directions of wind and light output fluctuation suppression, energy storage charge and discharge loss reduction and power grid supply and demand matching degree improvement; monitoring and adjusting the state of charge of the multi-mode hybrid energy storage unit through a wind storage combined wide-area SOC virtual synchronous control strategy, establishing association mapping and determining an initial threshold value; preliminarily distributing a power difference value between wind and light output and a power grid load by using the platform; iteratively optimizing the preliminary distribution power and then outputting target power; and sending a control instruction to realize real-time distribution. The number of the system is six, and all the units work cooperatively. According to the invention, the energy storage resource utilization efficiency and the system operation stability are improved, and the dynamic adaptation capability of the wind-solar energy storage system to the power grid load is enhanced.

The invention discloses an automatic die changing control system of a press machine. The automatic die changing control system comprises a programmable logic controller, electrical hardware electrically connected with the programmable logic controller and an execution component. The programmable logic controller is configured to achieve the control functions of sliding block die-filling height adjustment, balancer air pressure adjustment, die clamping device action, movable workbench operation and die identification number switching, and triggers at least two control functions to be executed in parallel in the die changing process. The programmable logic controller is connected with all electrical hardware and execution components through preset program logic so as to control starting, running and ending of the automatic die changing process in the whole process.

The invention discloses an internet cloud constellation end-side in-orbit autonomous task management and control system and method for meeting the task management and control requirements of a giant interconnection communication remote multivariate heterogeneous integrated network cloud constellation, adopts a modular hierarchical design concept, and comprises a communication transmission layer, a data resource layer, an application interaction layer, a planning scheduling layer and a monitoring management layer. According to the method, the satellite use mode is simplified, the autonomous degree of the satellite end side task is improved, the dependence on a ground management and control system is reduced, and the task management and control functions of autonomous task planning, task scheduling, resource management, exception handling and the like are realized. The system has the advantages of modularization, expandability, high portability and the like; the satellite is supported to autonomously and periodically initiate tasks of observation, calibration, maintenance and the like on orbit without ground control, the efficiency of the satellite on-orbit task is remarkably improved, and the management and control pressure of a ground system is reduced; through parameter configuration and algorithm modification, the method can adapt to business scenes such as inter-satellite collaboration and constellation autonomous operation of different optical, SAR and other multi-type load internet cloud constellations.