40 results about "Overload control" patented technology

The invention relates to the field of transformer overload control, in particular to a method and system for dynamically evaluating the overload capacity of a transformer, and the method comprises the steps: firstly, precisely extracting load step features and eliminating interference through a high-precision collection and sliding window differential verification technology; then, operating a finite-state machine based on a fluid dynamics principle, and switching among three modes of steady-state coupling, inertial decoupling and linear recovery according to load change; especially, a decoupling mode is entered during load impact, adiabatic temperature rise is utilized to deduce and replace lagged actually measured top oil temperature, and the problem of calculation distortion of a traditional model during oil flow lagging is effectively solved. In addition, the system executes double-thread calculation of the standard model and the inertial sensing model in parallel, outputs the final hot spot temperature through the maximum arbitration logic, and deduces the remaining allowable operation time according to the final hot spot temperature so as to generate a protection control signal. According to the invention, the evaluation accuracy and the operation safety of the transformer under the short-time overload condition are obviously improved.

The embodiment of the invention provides a power distribution cabinet intelligent spare power switching and overload management and control method and system, and the system comprises a multifunctional instrument which is used for detecting the current and voltage of an incoming line of a current system and a circuit breaker position contact signal, and carrying out the output of detection data based on a preset communication protocol and a preset communication standard; the programmable logic controller is in communication connection with the multifunctional instrument, and is used for identifying and reading the detection data of the multifunctional instrument, executing spare power switching based on the detection data, and determining whether to unload the three-level load of the transformer or not to generate and output a control instruction based on the current load of the transformer and a preset load threshold value; and the touch screen man-machine interface is in communication connection with the programmable logic controller and is used for responding to the control instruction to switch among different control modes and reserving the IP address setting of the multifunctional instrument and the removal configuration function of the three-level load. The system improves the intelligent control level and the operation and maintenance efficiency of the power distribution system.

This invention proposes a method and system for electrothermal coordination overload control of grid-connected wind power systems. The method involves acquiring current measurements of the transmission components and wind farm of the grid-connected wind power system; predicting wind speed based on meteorological data; obtaining the temperature of the transmission components; and predicting the active power of the wind farm within a set time step of the current control cycle. Considering the predicted wind speed, transmission component temperature, and wind farm active power, an optimization problem is established based on the electrothermal coordination model of the grid-connected wind power system. Process-oriented electrothermal coordination control is then implemented to ensure that the temperature of the grid-connected line does not exceed limits during overload control. The optimization problem is solved under constraints to determine the optimal control sequence. The active power of the first wind farm group in the optimal control sequence is applied to the current wind farm's power generation control. This invention uses the maximum allowable temperature of the transmission components as a limit to dynamically coordinate and continuously optimize the wind farm output and the temperature of the external transmission components in the grid-connected system. Compared to traditional overload control methods, this method can further tap the overload potential of the external transmission components, which is beneficial for alleviating the contradiction of wind energy consumption.

This invention discloses an online maintenance and overload control method for multi-source IDS alarm correlation tracing graphs in vehicles. Rule-based intrusion detection systems (IDS) are deployed in the vehicle host domain, vehicle Ethernet domain, and Controller Area Network (CAN) to generate alarms. At the vehicle gateway electronic control unit (ECU) side, multi-source alarms undergo event standardization, sliding time window buffering and waterline out-of-order tolerance, deduplication aggregation, and indexed candidate retrieval. Under the condition of satisfying alarm correlation judgment rules, a directed alarm tracing graph is incrementally constructed. By suppressing forks and overloads through in / out-degree limits, node / edge budgets, and priority pruning, combined with two-stage expiration recycling and tracking record solidification, stable alarm correlation and tracing are achieved under resource-constrained conditions. This method can be used for real-time tracing and offline forensic analysis on the vehicle side.

A method for HTTP stream tuning during load and overload control includes determining a load / overload level at a first network node (NF). The method further includes determining an initial value for the HTTP SETTINGS_MAX_CONCURRENT_STREAMS parameter. The method also includes publishing the initial value of the HTTP SETTINGS_MAX_CONCURRENT_STREAMS parameter to a second network node (NF) sending traffic to the first NF. The method further includes determining that the load / overload level of the first NF has changed. In response to determining that the load / overload level has changed, the method further includes adjusting the value of the HTTP SETTINGS_MAX_CONCURRENT_STREAMS parameter based on the load / overload level and the direction of the change. The method also includes publishing the adjusted value of the HTTP SETTINGS_MAX_CONCURRENT_STREAMS parameter to the second NF.

The present application provides a resource management method and apparatus, and a device. The method comprises: for each resource object comprising at least one resource identification point, acquiring load data of each resource identification point, the load data representing resource usage of the resource identification point; on the basis of the load data of each resource identification point, determining a load level of the resource object; on the basis of the load level, determining an overload control object, the overload control object comprising at least one of: a background task of the resource object, a foreground service object of the resource object, and a token bucket object for backpressuring host IO; and controlling resources occupied by the overload control object. By means of the technical solution of the present application, a current load can be prevented from exceeding the maximum processing capacity of a distributed storage system, and the operational stability and service reliability of the distributed storage system can be effectively improved.

This invention discloses a DFIM short-time overload control method and system based on MPPC, comprising: acquiring motor operating signals and calculating current power and torque; determining a short-time overload factor based on power reference values ​​and rated values, and identifying the system as normal, short-time overload, or exit state in conjunction with overload accumulation; enumerating candidate switching states of the rotor-side converter under a model predictive control framework, and predicting the power, current, and torque corresponding to each state; constructing a multi-objective cost function including power error, rotor current constraint, torque change rate, switching cost, and overload penalty term; selecting the optimal switching state for control; and smoothly reverting to the power reference value at a preset slope upon exit. This invention directly embeds short-time overload constraints into predictive control, and jointly manages the overload depth and duration through overload factor and accumulation, thereby improving dynamic response speed, suppressing current surges and torque oscillations, and achieving smooth exit from overload conditions while ensuring safety.

The invention provides a method for generating a maneuvering instruction of a fixed-wing unmanned aerial vehicle, and the method comprises the steps: 1, carrying out the generation of a three-dimensional track, and forming a training data set; step 2, establishing a deep deterministic policy gradient algorithm (DDPG)-based actor network as a neural network of an off-line training network structure, and performing off-line training by using the training data set to obtain initial actor network parameters; step 3, establishing an unmanned aerial vehicle simulation model and a lower controller, establishing a corresponding network structure based on a depth deterministic strategy gradient algorithm DDPG, and designing different maneuvering trajectory lines for online training to obtain a neural network controller; and 4, deploying the neural network controller as an upper-layer controller in flight control, and performing combined control by combining with an overload controller and a rolling controller of a lower-layer controller. According to the method, the multi-task requirement of the unmanned aerial vehicle in a training scene is met, development time is shortened, and task adaptability is improved.

The application provides a method for overload and attitude hybrid control and mutual switching conversion of unmanned aerial vehicle, which measures the pitch angle and vertical overload by a gyroscope and an accelerometer respectively, and then forms a pitch angle error signal and an overload error signal according to an instruction; then carries out odd transform and exponential square root hybrid transform respectively to obtain an error comprehensive signal; then carries out odd transform, odd softening transform, and cubic and linear mixed anti-saturation segmented integration to obtain a non-linear translation signal of error and a hybrid differential signal of error, and then obtains a pitch attitude control law and a pitch overload control law through the comprehensive of the above signals; finally, when the pitch angle error is small, the attitude control is adopted, and when the pitch angle error is large, the overload instruction is generated according to the overload error, and the overload control is switched to, so that the fast and stable switching control of the unmanned aerial vehicle is realized.

An optimal configuration method for a decommissioned battery energy storage system in power distribution network heavy overload treatment comprises the steps that a life loss model of current-carrying equipment is established, and the severity of power distribution network heavy overload is measured through a current-carrying equipment life loss fluctuation quantity sum index; constructing an energy storage system ESS economic evaluation model considering battery capacity attenuation and compensation, and quantifying the annual net cost of the energy storage system ESS; establishing a dual-objective optimization model based on the total life loss fluctuation quantity of the current-carrying equipment and the annual net cost of the energy storage system ESS; an improved fuzzy membership function is adopted to convert double targets into a single target optimization problem, and an energy storage system ESS optimal configuration and output strategy is solved based on an adaptive inertia weight particle swarm optimization algorithm. According to the method, a more accurate and economic scheme is provided for energy storage optimization configuration in a power distribution network heavy overload treatment scene.

The application relates to the technical field of Internet, and particularly provides a vehicle comprehensive overload management platform, a terminal and a storage medium, which comprise a network interface layer used for information interaction with a vehicle information transmission interface and a law enforcement system; an information input layer used for preprocessing vehicle position data, driving data and vehicle data collected by the network interface layer; a data processing layer used for calling road restriction rules corresponding to a position where a vehicle is located and a position where the vehicle is about to arrive based on the vehicle position data and the driving data, matching the vehicle data with the road restriction rules, and obtaining a rule violation judgment result; and a data output layer used for generating a law enforcement task based on the rule violation judgment result, and calling the network interface layer to distribute the law enforcement task to the law enforcement system. The application improves the comprehensiveness of rule violation management and information security.

This invention discloses an overload prevention control method and system for telescopic boom cranes based on boom strain, relating to the crane-related field. The method includes: arranging strain acquisition units along the length and circumference of multiple boom sections to acquire multi-dimensional strain data and construct a spatial strain distribution field; analyzing the consistency of strain response to identify local abnormal regions and determine the structural stiffness degradation state; extracting asymmetric strain components on the boom cross-section to construct force flow offset characterization parameters; performing time-series evolution analysis to obtain basic strain components and additional load components, and inverting the equivalent load and its application position on the boom; performing a prediction of the boom's true load-bearing capacity; and optimizing the control strategy based on safety constraints configured according to the prediction results. This application solves the problems of existing boom overload prevention control systems, such as inability to adapt to structural changes, incomplete monitoring, and difficulty in responding to overload risks. It achieves accurate adaptation to boom structural changes, comprehensive monitoring of the stress state, and effective response to overload risks.

The invention discloses a method, a system, equipment, a medium and a product for controlling extreme events under typhoon, and the method is characterized in that the method comprises the steps: obtaining typhoon meteorological data, and the structure parameters and real-time operation data of a power distribution network; mapping nodes and lines in the power distribution network into a space-time diagram structure, and inputting the typhoon meteorological data and the real-time operation data into the space-time diagram structure to represent a dynamic coupling relationship between typhoon evolution and the state of the power distribution network so as to obtain coupled space-time characteristics; inputting the coupled spatial-temporal characteristics into a deep reinforcement learning control model to generate a discrete action control instruction based on the state vector, generating a corresponding continuous action control parameter according to the discrete action control instruction, and determining a typhoon control strategy of the power distribution network in combination with the discrete action control instruction and the continuous action control parameter; and carrying out collaborative optimization control on power distribution network equipment of the power distribution network under the typhoon disaster based on the typhoon control strategy. According to the invention, the accuracy of power grid cascade overload control under typhoon disasters can be improved.

The present application relates to the technical field of aviation aircraft, in particular to a kind of longitudinal relaxation static stability aircraft no angle of attack stability augmentation control method, equipment and medium, comprising the following steps: obtaining the normal overload of aircraft by onboard inertial sensor;Dynamic pressure is obtained by onboard atmospheric data sensor;The weight of aircraft is calculated according to fuel quantity sensor information;Roll angle target value is provided by aileron channel control law solution;Stability augmentation control gain is determined;Each value obtained is substituted into formula, and elevator control command is calculated, and then aircraft is controlled to realize no angle of attack stability augmentation control.The present application proposes a kind of longitudinal relaxation static stability aircraft no angle of attack stability augmentation control method, and normal overload, dynamic pressure, aircraft weight and other information are used as control quantity, and normal overload control target is constructed using roll angle target value, so as to realize stability augmentation control.

The invention relates to the technical field of transportation, and discloses a method for integrating multi-source data into source overload control data, which comprises the following steps: S1, establishing communication between different source data devices and an edge computing gateway; s2, calculating the number of axles; s3, reading weighing data of the wagon balance; s4, capturing pictures of a vehicle body and a vehicle head and recording a vehicle video; and S5, weighing, integrating the data, and uploading the integrated data to an overload control supervision platform. On the basis of original wagon balance equipment, the axle sensor and the camera are additionally arranged, statistics of factory vehicle information is achieved through judgment, processing and integration of related data source data, automation is achieved, labor cost is greatly reduced, and equipment cost is reduced. After data of different sources are integrated, comprehensive judgment is performed through a sliding window mean filtering algorithm, and finally integration and reporting of vehicle information are automatically completed, so that manual intervention is avoided, and low-cost and high-efficiency source overload control data acquisition is realized on the basis of fully utilizing existing equipment.

The invention discloses a guidance method for realizing multiple constraints of a falling point trajectory inclination angle and a pitching angle. The guidance method comprises the following steps: designing an overload controller instruction parameter; when the distance between the aircraft and the target is smaller than a first threshold value, an inclination angle tracking stage is started, a first attack angle instruction is calculated according to the deviation between the current trajectory inclination angle and the target trajectory inclination angle and an instruction correction value obtained according to aircraft state design, a first overload instruction of an overload controller is calculated, and inclination angle control is achieved; and when the distance between the aircraft and the target is smaller than a second threshold value, entering an attack angle tracking stage, calculating a second attack angle instruction according to the target attack angle instruction and the instruction correction item when the parameter error is considered, calculating a second overload instruction of the overload controller, and realizing pitch angle control. Ballistic inclination angle and pitch angle constraints are converted into attack angle constraints, overload instructions of overload controllers in the inclination angle tracking stage and the attack angle tracking stage are calculated respectively, and guided flight of two drop point constraints of the ballistic inclination angle and the pitch angle is achieved.

1. Name of the product in this design: Integrated entrance overload control equipment. 2. Purpose of this design: For the management of overloaded vehicles and toll collection on highways and local roads. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This invention relates to the field of aircraft control technology, and particularly to an aircraft overload control method based on angular velocity command generation and dual-hysteresis correction. The method includes: generating an angular velocity command based on an overload command, and feeding back the actual angular velocity to adjust the damping ratio to a preset ideal range; executing a dual-hysteresis series correction strategy to cancel the zeros of the target transfer function, and adjusting the gain to meet the preset high control gain requirements in the low-frequency band, achieving the preset desired open-loop cutoff frequency and phase margin by configuring zeros and poles; and generating a control surface deflection angle command by combining the dual-hysteresis series correction strategy and the damping adjustment loop to control the deflection of the aircraft control surfaces. This solves the problems caused by the fact that related technologies typically use integral control in the overload control loop to reduce steady-state error, which easily introduces phase hysteresis and reduces the system phase margin, leading to slower overload response, increased dynamic overshoot, and even system oscillation.

This invention relates to the field of transformer overload control, specifically to a dynamic assessment method and system for transformer overload capacity. First, high-precision data acquisition and sliding window differential verification technology are used to accurately extract load step characteristics and eliminate interference. Then, a finite state machine is run based on fluid dynamics principles, switching between three modes—steady-state coupling, inertial decoupling, and linear recovery—according to load changes. Particularly during load surges, the system enters decoupling mode, using adiabatic temperature rise estimation to replace the delayed measured top-layer oil temperature, effectively solving the calculation distortion problem of traditional models during oil flow lag. Furthermore, the system performs parallel dual-thread calculations using a standard model and an inertial sensing model, outputting the final hotspot temperature through maximum value arbitration logic, and using this to estimate the remaining allowable operating time to generate protection control signals. This invention significantly improves the assessment accuracy and operational safety of transformers under short-term overload conditions.

This invention discloses a dynamic overload control method for a blender based on multi-source signal fusion, specifically relating to the field of control and regulation. The method includes: first, performing multi-source signal acquisition and feature enhancement processing, simultaneously acquiring four types of signals: electrical, motion, mechanical, and thermal. After preprocessing, relevant feature sets are extracted. Second, conducting multi-dimensional complex coupling analysis, constructing functions to quantify single-field risks based on load intensity, mechanical state, and thermal safety, and designing three types of coupling terms—load and mechanical, mechanical and thermal, and load and thermal—to characterize multi-field synergistic effects. Then, generating a comprehensive risk value and dynamic threshold, solving for the risk value and its rate of increase, and setting thresholds hierarchically based on mode characteristics and identifying dominant coupling terms. Finally, executing four-level progressive control, initiating early warning preparation, intervention to break blockages, emergency evacuation, and final recovery or shutdown actions based on the risk status. This invention uses physical drive as its core to achieve precise risk quantification and coupling-guided control, balancing equipment safety and efficiency.

The invention discloses an energy storage system overload control method and device and an energy storage system, and belongs to the technical field of energy storage control, the energy storage system comprises a battery and an inverter, the battery supplies power to a load through the inverter, and the method comprises the following steps: determining a set value of a maximum allowable discharge current of the battery; when the battery meets the allowable overload condition, increasing the maximum allowable discharge current of the battery from a set value to an overload value; the maximum allowable discharge current of the battery is transmitted to the inverter such that the battery-side current of the inverter does not exceed the overload value. When the battery meets the allowable overload condition, the set value of the maximum allowable discharge current of the battery is increased to the overload value, and the maximum allowable discharge current of the battery is transmitted to the inverter, so that the battery can support short-time overload, and the possibility of successful instant starting when the inverter is connected to a high-power load is increased.

This invention discloses a knowledge graph analysis method for traffic overload control deployment. First, a static road network graph and a dynamic spatiotemporal graph of traffic flow on road segments are constructed. Using a spatiotemporal graph convolutional neural network, the trend of violations in each road segment is predicted and inferred. Then, with minimizing the degree of violation risk as the optimization objective and the preset cost of overload control facility deployment as a constraint, an optimization strategy for overload control facility deployment is generated based on the predicted violation trends. Subsequently, this strategy is used to evaluate the evolution of violation trends. If the degree of violation risk in a single road segment or the overall situation is determined to be higher than a set threshold, the type attribute of overload control facilities in the static road network graph is updated. The steps of constructing, inferring, and generating the strategy are iteratively executed and re-evaluated until the degree of violation risk in a single road segment and the overall situation are both lower than the set threshold, at which point the iteration stops, and the final deployment optimization strategy is determined. This method effectively overcomes the limitations of knowledge graphs in the field of traffic overload control enforcement, improving the scientific nature and effectiveness of overload control deployment.

This application provides a protection method, system, device, and storage medium for quick-switch connectors in battery-swapping heavy-duty trucks based on operational status estimation. The method includes: a battery-swapping controller acquiring operating temperature data and current operational characteristic data of the quick-switch connector, and inputting the operating temperature data and current operational characteristic data into an operational status evaluation model to obtain the operational status of the quick-switch connector; the battery-swapping controller determining an operational control strategy and an overload control strategy based on the operational status of the quick-switch connector, and using the operational control strategy to determine whether the quick-switch connector has experienced an overload; if the battery-swapping controller determines that the quick-switch connector has experienced an overload, it sends the current operational status of the quick-switch connector, the maximum voltage threshold that the quick-switch connector can currently withstand, and the maximum current threshold to the BMS or VCU so that the BMS or VCU can reduce dynamic power.

The invention relates to the technical field of aircraft control, in particular to an aircraft overload control method based on angular velocity instruction generation and double-lag correction, and the method comprises the steps: generating an angular velocity instruction according to an overload instruction, and feeding back an actual angular velocity adjustment damping ratio to a preset ideal range; executing a double-lag series correction strategy, counteracting a zero point of the target transfer function, adjusting the gain to meet a high control gain requirement of a preset low-frequency band, and configuring the zero point and a pole to achieve a preset expected open-loop cut-off frequency and a phase margin; generating a rudder deflection angle instruction of the aircraft control surface by combining the double-lag series correction strategy and the damping adjusting loop, and controlling the aircraft control surface to deflect. Therefore, the problems that in the prior art, integral control is usually adopted in an overload control loop to reduce steady-state errors, phase lag is easily further introduced, and the system phase margin is easily reduced, so that the overload response speed is slowed down, dynamic overshoot is increased, and even system oscillation is caused are solved.

The invention relates to the technical field of data processing, and discloses a manned centrifugal machine overload control method, device and equipment and a storage medium, and the manned centrifugal machine overload control method comprises the steps: building a kinematic model of a six-axis manned centrifugal machine, and deducing the acceleration and angular velocity of a cabin origin under a target coordinate system based on the kinematic model; the acceleration and the angular velocity are converted into the sensing specific force and the sensing angular velocity of a pilot through the human body vestibular sensing characteristics; based on the accelerated speed, the angular speed, the sensing specific force and the sensing angular speed, a multi-objective optimization function is constructed, constraint conditions are established, and the constraint conditions comprise the physical constraint of the six-axis manned centrifugal machine and the sensing constraint of human body vestibular sensing; the multi-objective optimization function is solved based on the constraint condition, the optimal perception control sequence in the target time domain is obtained, overload control is conducted on the manned centrifugal machine, and the reliability of overload simulation control of the manned centrifugal machine can be improved.

The present application belongs to the technical field of power system operation control, and relates to a power grid overload control method and system considering backup power automatic switching, which comprises the following steps: obtaining dispatching control system operation data and constructing a fault set; performing power flow calculation on the fault set to determine an overload element set and calculate a power transmission distribution factor; establishing a backup power automatic switching action library to generate a candidate action set, calculating candidate action influence degree and newly added out-of-limit risk indicators and sorting to form a backup power automatic switching set; solving a load shedding strategy with minimum power loss output of a correction control model when the state code indicates that there is still an overload element; generating a switch breaker action list according to the backup power automatic switching set and the load shedding strategy, recalculating and evaluating the overload element set after writing back the operation data. The technical scheme of the present application is suitable for fault overload disposal scenarios, can realize consistent decision-making and closed-loop checking of load transfer and load shedding, and keeps the out-of-limit elimination efficiency and power loss controllable.

The invention discloses a weighing data processing method for overload control vehicle cross-lane driving, and provides a vehicle cross-lane driving weighing data processing method based on a Hash pre-screening technology according to sequential logic of vehicle detection time, license plate numbers, lane numbers, vehicle separation signals and axle loading signals. And querying the lane-crossing vehicle data pair meeting the condition in the vehicle passing data table, and merging the divided two pieces of lane-crossing vehicle data to achieve the purpose of correcting the vehicle passing data abnormality. According to the invention, the problem that the vehicle weighing data is split into two parts due to the vehicle cross-lane abnormal driving in the off-site law enforcement system application is solved, the cross-lane abnormal data is re-synthesized, and the abnormality of the vehicle weighing data is corrected.