5823 results about "Braking system" patented technology

The invention relates to the technical field of intelligent transportation control, in particular to a tomato transportation speed self-adaptive adjustment method based on path road condition feedback, which comprises the following steps: acquiring road images, vibration waveforms and altitude data through a multi-source sensing unit, and constructing real-time road condition information; identifying a driving mode and extracting a corresponding bumping parameter; detecting the maturity grade of the tomato by combining multispectrum and thermal imaging, and querying a maturity-compressive strength corresponding table to calculate a cargo damage threshold value; constructing a dynamic mapping model under multiple working conditions, predicting vibration response and converting the vibration response into equivalent pressure; comparing the equivalent pressure with a damage threshold value to obtain a safety margin, constructing a speed adjustment decision tree and generating a maximum allowable speed value of each road section; and dynamically generating a segmented variable-speed control instruction based on the speed decision matrix, and controlling a throttle valve and a braking system to cooperatively change speed. The method has the advantages of accurate working condition identification, dynamic fruit adaptation, closed-loop speed regulation and control and the like, and is suitable for fine speed control of a high-sensitivity fruit and vegetable transportation scene.

The invention relates to the technical field of vehicle safety, and discloses a braking method and system based on vehicle automatic emergency early warning and braking and a storage medium. The method comprises the following steps: fusing multi-modal sensor data to generate a dynamic environment perception graph and calibrating the dynamic environment perception graph; generating a real-time risk distribution map and a potential collision probability prediction matrix based on the dynamic risk assessment model; carrying out matrix multi-stage decision optimization to generate emergency braking trigger conditions, and dividing early warning levels and scheduling according to the conditions and a risk map; and the braking system control parameters are adapted according to the early warning instruction set, and a final execution scheme is generated after verification. The system comprises a sensing module, an evaluation module, a decision module, an early warning module and an execution module. Electronic equipment and a computer readable storage medium can execute the method. Through multi-modal fusion, dynamic risk assessment, graded early warning and redundancy check, the safety performance of the vehicle in a complex environment is improved, accurate early warning and reliable braking are achieved, and the method is suitable for the technical field of vehicle safety.

The invention belongs to the field of vehicle early warning, and particularly relates to a vehicle hidden danger recognition and safety early warning method and device, and the method comprises the following steps: collecting vehicle speed, tire pressure and road condition data, obtaining the states of key parts of an engine and a braking system through combining an OBD system, and achieving the dynamic perception of a whole vehicle; based on a deep learning algorithm, accurately identifying the too short distance of the front vehicle, fatigue driving, overspeed, area deviation, long-term left-occupying driving of a lane, vehicle retrograde driving and abnormal line pressing tracks; through vehicle-mounted OBD data and cloud large model analysis, potential mechanical faults of tire wear and brake pad aging are predicted, and maintenance suggestions are pushed in advance, so that a driver can be reminded of safety, the driving safety is improved, the hidden danger recognition capability is improved, safety preventive warning is performed on hidden dangers, the driving safety is ensured, and the driving safety is improved. Meanwhile, the vehicle can be guided to avoid high-risk or forbidden road sections, and the probability that the vehicle enters a dangerous or forbidden area is reduced.

The invention relates to the field of vehicle braking fault detection, in particular to a real-time fault detection method for a vehicle electronic braking system, which comprises the following steps of: acquiring vehicle driving state data through a vehicle-mounted sensor network and an electronic control unit, calculating filtered residual data of a target wheel speed sensor, and calculating the filtered residual data of the target wheel speed sensor; establishing calibration reference parameters of the health state; performing conjoint analysis on the acceleration data and the residual fluctuation data of the vehicle to obtain a dynamic response adaptive adjustment factor of the vehicle; obtaining a tiny drift confirmation factor of the vehicle through the candidate residual error in the low dynamic interference state of the vehicle; continuous fault judgment is performed by combining the dynamic response adjustment factor and the tiny drift confirmation factor of the vehicle, and the fault judgment result of the wheel speed sensor is obtained, so that the accuracy and sensitivity of fault detection when tiny systematic deviation occurs to the wheel speed sensor are improved.

The invention provides a clamping force estimation method of a motor braking system, the motor braking system, a transmission efficiency anomaly detection method of the motor braking system and a vehicle, and belongs to the technical field of vehicle braking. According to the clamping force estimation method, temperature data and piston displacement data are combined, the clamping force can be estimated more accurately, the influence of the temperature on the clamping force is considered, and the clamping force estimation is dynamically adjusted by obtaining the piston displacement data in real time, so that the clamping force estimation method adapts to different working environments and braking working conditions. In addition, by combining the original thickness and the abrasion loss of the friction plate, the influence of abrasion of the friction plate on the clamping force is further compensated, and the estimation accuracy is improved.

The invention provides a dynamic fault-tolerant control method based on an expected function safety mechanism, and the method comprises the steps: 1, selecting the model of a sensor, and enabling the sensor to be distributed at the periphery of a vehicle body; 2, building a decision algorithm model, carrying out environment scene recognition, planning a driving path and speed according to data obtained by a sensing layer, evaluating safety risks of different decisions, and carrying out judgment and decision making on various conditions; 3, control interfaces of a vehicle power system, a steering system and a braking system are established, and the electronic control unit converts a decision control instruction output by the decision algorithm model into actual vehicle operation through the control interfaces; 4, performing an expected function safety mechanism, performing real-time monitoring on state parameters of the vehicle, and analyzing detection data through a fault detection algorithm; 5, implementing a fault tolerance strategy; and 6, continuously monitoring the actual driving state and the system response condition of the vehicle, and adjusting the fault tolerance strategy.

The invention relates to an electronic mechanical braking system control method based on contact point detection and mode management. Comprising the following steps: step 1, designing a clamping force basic control algorithm based on stiffness characteristics and feedforward compensation of Stribeck friction in combination with a proportional-integral-differential control theory; 2, designing a contact point detection algorithm based on position signal identification by analyzing the typical characteristics of the contact points, and identifying the inherent relation between the position stable points and the contact points through experimental calibration; and step 3, designing a mode management system including clearance elimination, clearance keeping and clamping force control, and performing mode switching and keeping by judging a brake signal. The overall function design of contact point detection, mode management and brake control of the electronic mechanical brake system is comprehensively achieved, the control precision and function stability of the system can be remarkably improved, and a set of complete solution is provided for design and development of the brake-by-wire system in the future.

The invention provides a surrounding type numerical control rotary table intelligent braking system based on AI predictive control, and belongs to the technical field of intelligent manufacturing and numerical control. The problems that an existing numerical control rotary table braking system is lagged in response, lacks intelligent prediction and self-adaptive capacity, and is insufficient in control precision and attenuated in long-term performance are solved. The surrounding type numerical control rotary table intelligent brake system based on AI predictive control comprises a state acquisition module, an AI predictive module, a pressure control module, a surrounding type brake execution structure and a feedback correction module, an AI predictive mechanism and a self-correction feedback loop are introduced, intelligence, self-adaption and high responsiveness of brake control are achieved, and the brake control precision is improved. The positioning precision, the braking stability and the overall energy efficiency level of the numerical control rotary table are improved, and the numerical control rotary table has the advantages that the response speed is remarkably increased, the positioning precision is high, the self-adaptive capacity is high, the braking process is stable and the intelligent degree is high.

The invention relates to the technical field of track foreign matter real-time detection, and particularly discloses a track foreign matter real-time detection method based on YOLOv5 improvement. Comprising the steps of video vibration synchronous acquisition, space offset compensation parameter generation, dynamic feature enhancement processing, feature weight thermodynamic diagram generation, hierarchical perception feature aggregation, cross-scale target verification, foreign matter positioning instruction packaging and multistage early warning execution control. Image distortion caused by mechanical vibration and illumination fluctuation is effectively overcome by synchronously acquiring track video and vibration time sequence signals, constructing a spatial offset compensation parameter set and combining with a dynamic feature enhancement template to correct video frames, a feature weight thermodynamic diagram is generated through visual saliency detection, features are aggregated through a layered perception model, and the visual saliency detection accuracy is improved. Early warning levels are dynamically matched according to the sizes and the positions of the foreign matters, and a sound-light alarm and braking system is linked; according to the invention, the reliability of data transmission is ensured, the operation and maintenance cost is greatly reduced, and the safety requirement of millisecond response of modern rail transit is met.

The invention provides an elevator multi-caliper disc brake diagnosis method, system and device, a medium and a product, and relates to the field of fault diagnosis of elevator multi-caliper disc brakes. The diagnosis method comprises the following steps: acquiring a state transition matrix among preset states in a Markov jump system state transition model; first operation data of the multi-caliper disc brake are obtained and preprocessed; according to the preprocessed first operation data, a current braking system state estimation value and a corresponding operation data range are obtained; second operation data of the multi-caliper disc brake are collected in real time and preprocessed; and when the preprocessed second operation data exceed the operation data range, the fault type of the multi-caliper disc brake is determined according to the current braking system state estimation value, the Markov jump system state transition model and the state transition matrix. According to the invention, fault diagnosis of the multi-caliper disc brake of the elevator can be realized, and support is provided for daily overhaul and maintenance of an elevator brake system.

The invention relates to a brake system including at least one brake with an electric brake actuator, at least one electronic control unit for controlling the at least one electric brake, and two different power supply units connected to the at least one electronic control unit and configured for supplying energy to the at least one electric brake actuator. The at least one electronic control unit comprises a first brake actuation system for activating the electric brake actuator and a redundant brake actuation system for activating the electric brake actuator in case of a failure of the first brake actuation system. The invention also relates to a method for using the brake system.

The invention discloses an aircraft braking system evaluation and prediction method based on fault simulation and geometric features, and belongs to the technical field of electric data processing. The method comprises the following steps: constructing a simulation model of an aircraft brake system, and injecting faults into the simulation model according to different degrees of fault injection control parameters to generate a degradation monitoring data set of the whole life cycle of the system; dividing the degradation monitoring data set into a training data set and a test data set; training the GoogLeNet model by using the training data set to obtain a health assessment model; evaluating the health degree of the aircraft brake system by using the test data set; constructing a topological graph according to the multi-rack operation data and the health degree of the aircraft braking system; nodes in the topological graph are clustered and divided into K clusters; establishing a residual life prediction model for each cluster; and performing similarity matching on the sample and the K clusters, and selecting the best matched residual life prediction model to perform residual life prediction on the system. The method can accurately predict the remaining life of the aircraft brake system.

The invention provides a regenerative braking-based dynamic energy distribution method for a new energy automobile, which belongs to the technical field of braking systems and comprises the following steps: step 1, determining the total braking force currently required by the automobile, and further determining the distribution proportion of mechanical braking and regenerative braking; 2, evaluating the current acceptable charging power of the battery and the feedback power range of the motor, and further determining limit data of regenerative braking energy distribution; 3, the optimal regenerative braking force and mechanical braking force distribution proportion under the current working condition is determined; 4, the optimal regenerative braking force distribution proportion is converted into a regenerative braking force instruction, then a motor is controlled to generate corresponding regenerative braking torque based on the regenerative braking force instruction, the vehicle is braked, and energy is recycled; and 5, the mechanical braking force distribution proportion is converted into a mechanical braking force instruction, and then a mechanical braking device is controlled to generate corresponding braking force based on the mechanical braking force instruction. And more accurate brake control and energy management are realized.

The invention discloses a light passenger car chassis steering stability self-adaptive control method, which comprises the following steps of: collecting multi-dimensional working condition parameters in real time, and covering 12 types of key parameters such as a steering wheel rotating angle and a wheel speed; after preprocessing and abnormity diagnosis, double models are adopted to estimate the dynamic state of the vehicle in parallel; dynamically setting a control target, and realizing personalized control in combination with driver style recognition; the control quantity is optimized through multi-mode strategy dynamic switching and steering and braking system cooperative control; and actuator dynamic compensation, scenarized self-learning and multi-stage fault handling mechanisms are introduced. According to the method, the complex working condition adaptability is improved, the response speed is controlled, the subsystem cooperation efficiency is improved, the system robustness and the long-term use performance are enhanced, and the driving safety of the light bus is effectively guaranteed.

The invention relates to a commercial vehicle integrated brake control and sensor system. The system comprises a multi-source sensor module used for acquiring sensor signals of operation of the commercial vehicle brake control system. The feature extraction module carries out filtering processing on sensor signals and extracts key feature parameters to construct a feature parameter matrix. In the braking decision execution module, a front and rear axle control unit calculates a front and rear axle braking force distribution coefficient based on the characteristic parameter matrix and generates an intelligent braking instruction; and the braking execution unit dynamically adjusts single-wheel braking force distribution according to the intelligent braking instruction to obtain braking execution parameters. And the evaluation optimization module judges the stability of the braking system according to the braking execution parameters and the operation real-time feedback data, and adjusts the braking force distribution parameters of each wheel to generate an optimized braking control strategy. By adopting the system, the multi-source data fusion precision, the dynamic adaptability of braking force distribution and the communication stability under complex working conditions in the braking process of the commercial vehicle can be improved, and the safety and reliability of the braking system are enhanced.

Systems and methods of operating a fracturing operation include a platform having an upper surface and a channel, wherein the platform is configured to receive a carrier mounted with a pumping unit; and a conduit configured to transfer fluid to or from a manifold system, the conduit having a first end configured to be connected to the pumping unit. The channel may be configured to receive the conduit when the carrier is at least partially received on the platform. A guide member may be configured to guide the conduit into the channel and include a rounded portion and an abutment surface, wherein the conduit is configured to extend at last partially around the rounded portion, and the carrier is configured to engage the abutment surface. The systems and methods may also include a controller configured to control a braking system of the carrier when the pumping unit is actuated.

In various examples, a line of sight (LOS) filter may be used to determine whether or not a detected object represents a potential collision risk, filter out detected objects that are deemed not to be a collision risk, and provide a representation of the remaining detected objects for evaluation by one or more downstream automatic emergency braking (AEB), collision mitigation braking systems (CMBS), and / or other modules of an ego-machine. For example, the LOS filter may use an estimated position of a detected object to derive a corresponding LOS angle between the heading of the ego-machine and the detected object, and apply one or more thresholds based on the LOS angle to identify detected objects that are non-collision risks. As such, the LOS filter may remove non-collision risks from consideration by the downstream AEB, CMBS, and / or other module(s).

Disclosed in the present application is a wheel anti-lock braking system applicable to hill braking. In the wheel anti-lock braking system, a wheel speed identification module is used for identifying a vehicle wheel speed signal and a wheel acceleration signal; a vehicle speed acquisition module is used for calculating a vehicle body speed signal; a driving intention identification module is used for obtaining a front and a rear axle enable flag bit; a state machine module is used for determining whether the working state of a low-speed hill anti-lock braking system is a standby state or a shutdown state, and starting a conventional anti-lock braking system when the working state of the low-speed hill anti-lock braking system is a shutdown state; the state machine module receives the front and rear axle enable flag bits, and transmits the front and rear axle enable flag bits to a control logic module when the working state of the low-speed hill anti-lock braking system is a standby state; and the control logic module is used for sending a low-speed hill anti-lock braking system control command when wheels show a tendency to lock up. The present application realizes anti-lock braking control over wheels at low speeds, especially during hill braking, which cannot be achieved by conventional wheel anti-lock braking systems.

An electromechanical brake system (10) includes a first energy supply apparatus (20) and a second energy supply apparatus (21), a first system control device (30) and a second system control device (31), a plurality of electromechanical brake actuator devices (41), and a first plurality and a second plurality of electronic brake control systems (40a, 40b). Each of the electronic brake control systems is set up to control one of the electromechanical brake actuator devices. The first energy supply apparatus is connected to the first system control device and to each of the first electronic brake control systems, and the second energy supply apparatus is connected to the second system control device and to each of the second electronic brake control systems. A further control device (32, 47) may be connected to at least one of the first electronic brake control systems or one of the second electronic brake control systems.

The embodiment of the invention provides a vehicle energy recovery control method and device, a medium and a vehicle, and relates to the technical field of brake control. The method comprises the steps that a braking request of a target vehicle is responded, and current braking judgment parameters of the target vehicle are obtained; under the condition that it is determined that the target vehicle meets the preset energy recovery condition based on the current braking judgment parameters, the vehicle operation parameters are input into an intelligent decision-making model, and a braking force distribution strategy result is obtained; based on the braking force distribution strategy result, braking control is conducted on a motor control system and a braking system; the motor control system is used for providing regenerative braking force and generating recovery energy suitable for supplementing energy to the power battery. According to the embodiment of the invention, the vehicle operation parameters collected in real time are input into the self-adaptive adjustment intelligent decision-making model, and the braking force distribution strategy suitable for the current operation condition can be output, so that the accuracy and adaptability of braking force distribution are effectively improved.

A method for automated guidance of a vehicle along a specified setpoint trajectory at an actual speed, wherein the setpoint trajectory includes geometric trajectory variables, the method including ascertaining an actual deviation of the vehicle from the setpoint trajectory and outputting the ascertained actual deviation and generating manipulated variables such that the vehicle, in the case of automated control of a drive system and / or a braking system and / or a steering system of the vehicle, moves closer to the setpoint trajectory. The method also includes ascertaining whether an undesirable driving state is present when the vehicle moves closer to the setpoint trajectory, wherein the undesirable driving state is ascertained from the specified setpoint trajectory based on the geometric trajectory variable, and, if the presence of the undesirable driving state is identified, automatically controlling the vehicle based on generated stability variables and / or adapting the setpoint trajectory.

The invention discloses a device and a method for measuring dragging torque of an electronic mechanical brake caliper assembly, and belongs to the technical field of automobile brake system testing. The device comprises a first supporting seat, a driving rotating shaft, a brake disc and a driven rotating shaft assembly with a torque sensor, and precise positioning of a caliper support is achieved through cooperation of a rotating clamp and a guide pin. During testing, the calipers clamp the brake disc firstly to output clamping force and then release pressure, the motor drives the brake disc to rotate by a circle to eliminate inertia moment, and then the torque sensor dynamically collects dragging torque. A modularized brake disc fixing seat is adopted to adapt to products of different specifications, a coupler compensates for shafting offset, a fixing block locking mechanism guarantees non-measurement state safety, and inertia errors are eliminated in combination with a dynamic and static friction separation measurement method. According to the scheme, the problems of positioning deviation, mechanical interference and friction interference in a traditional test are solved, and the measurement precision and efficiency of the dragging torque of the brake calipers are remarkably improved.

The invention relates to the technical field of aircraft brake, in particular to an aircraft brake servo valve performance monitoring and health management method, which comprises the following steps of: acquiring a servo valve theoretical output current and a servo valve recovery current; according to the theoretical output current of each channel of the servo valve and the recovery current of the servo valve, whether brake current output loops of the two channels are abnormal or not is judged; when one channel of brake current output loop is abnormal, whether the other channel of brake current output loop is abnormal or not is judged according to the actual brake pressure and the theoretical pressure; and when the brake pressure output loop of the other channel is normal, brake control is carried out on the servo valve through the channel. By monitoring the performance of the servo valve in real time, it is guaranteed that dynamic switching can be achieved when the performance of the servo valve drifts in the airplane braking process, the influence of the performance drifting of the servo valve on the airplane braking effect is avoided, and the safety of a braking system is improved.

The invention relates to the field of rail traffic intelligent control, and discloses a rail obstacle real-time detection and braking system based on multi-sensor redundancy, which comprises at least two groups of sensing modules arranged at the front end and the rear end of a train, and each group of sensing module comprises a laser radar used for collecting three-dimensional point cloud data of a forward or backward rail area of the train; the binocular camera is used for acquiring color image data and depth image data in corresponding directions; and the robot controller is in communication connection with the sensing module and is used for receiving sensing data acquired by the laser radar and the binocular camera and executing obstacle recognition, redundant information fusion and brake control logic. By constructing a multi-sensor redundancy sensing structure based on the laser radar and the binocular camera, high-robustness recognition of a dynamic or static obstacle target in a complex orbit environment is realized, and the effect of remarkably improving the obstacle detection accuracy and the false alarm suppression capability is achieved.

A stable walking apparatus can be used to allow the elderly, disabled, injured, or infirmed to move for day-to-day activities and exercise. The apparatus supports the individual at an upper body portion, such as under the arms of the user. This allows use of the arms and legs of the individual, such as better balance and move with the device, while also controlling aspects of the device. The support is height adjustable, and also includes a braking system to both slow down and stop the user-apparatus. The braking system can be used with limited extremity functionality for greater use of the apparatus by a wide range of individuals. Swiveling wheels provide for additional functionality to use the device for more purposes and in increased locations.

The invention relates to the technical field of vehicle braking control, and discloses a vehicle braking control system based on a high-speed permanent magnet synchronous motor, which comprises a state sensing module, a braking force calculation module, a braking force control module and a braking force control module, the torque distribution module distributes the total braking torque into a predictable regenerative component and a precisely matched friction component, a deterministic regenerative braking force datum line is established, a braking system is converted into stable output control from passive response energy fluctuation, and linear mapping of pedal travel and deceleration is achieved; and meanwhile, by combining road bumping degree perception and model online correction, the output stability is kept under the complex working condition, and the technical problem that energy recovery and control quality in a hybrid braking system are difficult to consider at the same time is solved.

The invention discloses a braking system and a vehicle, and relates to the technical field of vehicle engineering. In the braking system, a braking main body comprises a hydraulic driving assembly and two braking clamping plates; at least part of the structure of the hydraulic driving assembly is arranged in the suspension frame, and the two output ends of the hydraulic driving assembly stretch out of the two ends of the suspension frame in the transverse direction correspondingly. The two brake clamping plates are arranged on the two sides of the suspension frame in the transverse direction and connected to the two output ends of the hydraulic driving assembly correspondingly. The bottom ends of the brake clamping plates are located below the suspension frame, and the hydraulic driving assembly can drive the two brake clamping plates to move at the same time, so that the bottom ends of the two brake clamping plates get close to or away from each other in the transverse direction. According to the braking system, the bottom ends of the two braking clamping plates can be close to each other so as to hold the track in a matched mode on the two sides of the track and conduct friction braking, at least part of the structure of the hydraulic driving assembly can be arranged in the suspension frame and can be connected to the upper structures of the braking clamping plates, and the requirement for occupying the external space of the suspension frame can be reduced while braking is achieved.

The technical scheme of the invention relates to the technical field of control and adjustment, in particular to a crawler-type articulated vehicle braking system applied to a low-temperature environment. Through multi-module collaborative optimization and a closed-loop control mechanism, the problems of unbalanced dynamic distribution of braking force, insufficient redundancy fault tolerance and signal distortion under the low-temperature working condition are solved. The data acquisition module is used for acquiring a hinging angle, an inertial measurement unit attitude, a braking temperature and a vehicle state signal in real time; the optimization control module performs multi-objective optimization on the dynamic weight coefficient, the redundancy switching threshold value and the fuzzy rule parameter based on a genetic algorithm to generate a weight distribution scheme of a hinge angle compensation mode and an inertial measurement unit dominant mode; the adjusting module generates a brake pressure reference value through temperature self-adaptive analysis and synchronizes hydraulic control units of a front vehicle and a rear vehicle, and all the modules remarkably improve the dynamic stability and the low-temperature working condition fault-tolerant capability of a brake system through full-link cooperation of environment perception, parameter iteration and redundancy execution.

The invention relates to a self-adaptive control method for a rain and snow mode of rail transit, electronic equipment and a medium, and the method comprises the steps: comprehensively studying and judging a rain condition based on multi-sensor data and numerical weather forecast data, and calculating a weather grade in the rain and snow mode, the multi-sensor data including video detection data, laser radar data and rainfall data; whether a rain and snow mode is set or not is judged according to the weather level, if yes, the current track slip degree is evaluated according to the multi-sensor data, and the GEBR value is adaptively updated based on the slip degree; the CC calculates the running safety braking envelope of the train by using the updated GEBR value, and feeds back a slip detection result and a dynamic parameter adjustment result in real time; and the ATS dynamically adjusts the operation plan of the train according to the slip detection result reported by the CC, and optimizes the operation scheduling of the whole train. Compared with the prior art, the method has the advantages that self-adaptive management of the rain and snow mode is achieved based on the dynamically-adjusted GEBR, and the running safety and reliability of the train in the rain and snow weather are effectively improved.

The invention discloses a heat dissipation drum brake dynamic control system and method based on reinforcement learning. The method comprises the following steps that S1, drum brake operation data are collected and preprocessed; s2, training by using a gating circulation unit neural network, and outputting temperature rise trend data; s3, training based on a near-end strategy optimization algorithm to obtain a control strategy network, and outputting a heat dissipation control strategy; s4, performing joint optimization on hyper-parameters of the thermal state prediction model and the control strategy network by adopting a Harris eagle optimization algorithm; s5, generating a heat dissipation control instruction according to the optimized model, and controlling a heat dissipation execution mechanism to execute corresponding operation; and S6, continuously collecting temperature feedback data, comparing the temperature feedback data with the temperature rise trend data, and carrying out dynamic adjustment. Through fusion of reinforcement learning, deep prediction and intelligent optimization technologies, accurate prediction and dynamic heat dissipation control of the temperature rise trend of the drum brake are realized, so that the safety, the energy efficiency and the stability of a brake system are remarkably improved.