1933 results about "Heavy load" patented technology

The invention provides a fatigue life prediction and residual life evaluation method for a high-power heavy-duty gearbox, and belongs to the technical field of intelligent operation and maintenance based on computer data processing. Comprising the following steps: acquiring dynamic data in an operation process, and performing multi-scale decomposition to form multi-source multi-scale data; inputting the multi-source multi-scale data into a designed multi-scale fatigue feature extraction module and a health state prediction module to obtain a multi-scale health index sequence and a health state label; establishing a fatigue damage evolution model, introducing the generated health index sequence for self-adaptive updating, outputting a comprehensive damage value, performing staged evaluation of fatigue degradation to obtain a damage label set, and performing multi-scale health index sequence and health state labels as well as the comprehensive damage value and the damage label set to obtain a multi-scale health index sequence and health state labels; inputting into a designed double-source fusion fatigue life prediction model, and outputting residual life prediction quantity; according to the invention, high-precision prediction and residual life evaluation of the fatigue life of the high-power heavy-duty gearbox are realized.

The invention discloses a servo motor dynamic overload detection and protection method based on a heat accumulation model, which relates to the technical field of servo system fault protection application, and comprises the steps of constructing a heat accumulation equivalent model, dynamically detecting an overload state, executing a heat dissipation recovery strategy, implementing a multi-stage protection mechanism, self-adaptive environment compensation and a historical data learning function. Through discretization processing of overload curve data and a nonlinear acceleration calculation strategy, the problems of protection lag and false triggering caused by traditional single-parameter detection are avoided, it is ensured that the motor can respond in time in light load, heavy load and load fluctuation scenes, the burn-out risk of the motor is reduced, and through integration of an environment temperature sensor and a heat dissipation condition evaluation unit, the reliability of the motor is improved. The heat accumulation coefficient and the heat dissipation attenuation parameter are dynamically adjusted, the problem of model deviation caused by environment interference is solved, when heat dissipation deterioration and temperature feedback abnormity are detected, the heat dissipation recovery period is automatically prolonged, calculation logic is corrected, and the continuous operation reliability of the system is improved.

The invention relates to the technical field of bridge bearing capacity evaluation, and discloses an existing continuous beam bridge bearing capacity comprehensive evaluation method which comprises the steps that multi-source data are collected to construct a three-dimensional damage voxel field, and an initial finite element model is generated; simulating a heavy load identification control section, and designing an equivalent static load test scheme according to an equivalent internal force principle; executing a field static load test, collecting elastic response data and constructing an actual measurement response vector; calculating errors and iteratively adjusting parameters in a voxel field constraint range to finish model correction; and generating an operation space-time security envelope based on the correction model, and comparing the state in real time to output a control instruction. A three-dimensional damage voxel field is constructed, voxels are used as a normalized data carrier, discrete apparent and internal damage data such as three-dimensional laser scanning point cloud, ultrasonic velocity and rebound strength are mapped into a continuously distributed space field, and the space variability of the rigidity of an existing bridge material can be represented in a refined mode. And the accuracy of describing the physical current situation of the structure by the initial finite element model is improved.

The invention relates to a pre-compensation flexible assembling and adjusting mechanism of a large-diameter transmission reflector. The pre-compensation flexible assembling and adjusting mechanism comprises the large-diameter transmission reflector, a glue joint mandrel, an isolation telecentric flexible hinge, an isolation plate, a hooke flexible hinge, an adjusting flexible branch chain, an anti-rotation flexible branch chain, a back plate and a driving assembly. The large-aperture transmission reflector is provided with three blind holes for glue joint, and is connected with the isolation plate through three groups of glue joint mandrels and isolation telecentric flexible hinges, so that isolation of load deformation interference of the isolation plate is realized; the driving ends of the two adjusting flexible branch chains are correspondingly connected with two driving assemblies installed on the back plate, and the connecting ends of the adjusting flexible branch chains are connected with the isolation plate. One ends of the Hooke flexible hinges and the anti-rotation flexible branch chains are connected with the isolation plate, and the other ends are connected with the back plate; the device has the advantages of being simple in structural form, stable in movement and high in precision, meanwhile, the return clearance caused by axial load reversing under heavy loads can be avoided, the additional surface shape caused by assembling and adjusting stress is effectively isolated, and the additional surface shape caused by gravity is compensated.

The invention relates to the field of power system operation and maintenance, in particular to a power transformation equipment operation and maintenance risk online assessment method and system. A power transformation equipment operation and maintenance risk online evaluation system comprises a data acquisition module, a weight configuration module, a sequence risk evaluation module, a collaborative decision game module and a disposal scheme output module. According to the method, a multi-source data fusion and dynamic threshold mechanism is introduced, real-time state quantity, historical maintenance records, operation modes and external weather information are uniformly mapped to a convolution-long and short-term memory network, key features are adaptively amplified in a feature weighting layer, redundant features are weakened, and collaborative recognition of short-term fluctuation and long-term degradation is achieved; compared with a traditional fixed threshold value or single monitoring quantity model, the method can keep sensitive and steady risk early warning capacity under the complex working conditions of severe weather, heavy load operation and the like, the false alarm rate and the missing report rate are greatly reduced, potential faults are locked in advance, and sudden power failure events are avoided.

The invention discloses a magnetic adjustment water lubricated bearing and a bearing support control method, which are applied to a large ship propulsion shaft system, and comprise a bearing shell, an electromagnetic excitation module, a batten, a sensor module, a power supply driving module and a control system, a plurality of mounting grooves are formed in the bearing shell; an electromagnetic excitation module is arranged in each mounting groove and generates a variable magnetic field with set intensity; a plurality of magnetically soft alloy segments are arranged on the batten, the magnetically soft alloy segments correspond to the electromagnetic excitation modules one to one, and a magnetic field acts on the magnetically soft alloy segments to generate electromagnetic attraction force; the control system independently controls the excitation current of each electromagnetic excitation module according to data of the sensor module, and generates magnetic fields with different intensities to act on soft magnetic alloy areas at corresponding positions, so that precise control of local supporting rigidity and lubricating gaps of the water-lubricated bearing is realized, unbalance loading and abnormal wear risks are effectively reduced, and the service life of the water-lubricated bearing is prolonged. And the adaptive capacity of the bearing under low-speed heavy load and dynamic disturbance is improved.

The invention discloses a rescue material transportation following robot based on oil-electric hybrid power and a control method, and aims to solve the problems of endurance, carrying and energy complementation of a pure electric rescue material following robot under the conditions of long-time heavy load, complex terrain and inconvenience in charging. The method comprises the following steps: acquiring multi-source state, motion and environment data, and predicting a power demand; dynamically selecting a pure electric charging mode, a range extending charging mode, a parallel charging mode or a parking charging mode; and generating parallel power and a motion instruction to drive the robot to follow operation. The system comprises a hybrid power unit, a following positioning module, an environment sensing module, a main controller, an energy management unit, a motion control unit and a driving execution unit. The problems of endurance and energy complementation of the pure electric robot are effectively solved, the operation continuity, the environment adaptability, the carrying efficiency and the man-machine cooperation safety are remarkably improved, and the system energy efficiency is optimized.

The invention relates to the field of mechanical engineering, discloses a speed reducer multi-field loss balancing method and system based on working condition self-adaptive feedback, and aims to solve the problems of local loss concentration, intensified temperature rise and low energy efficiency caused by neglect of a multi-physical field coupling relation in the prior art. The method comprises the following steps: acquiring mechanical, thermal, fluid and electromagnetic parameters in operation of the speed reducer through a distributed sensor, and generating a standardized working condition state vector; and inputting into a mechanical-thermal-fluid-electromagnetic four-field coupling model, and solving the space-time loss distribution of the key component by combining with a data driving correction term. According to the scheme, refined prediction and closed-loop regulation and control of multi-field loss distribution are achieved, the local temperature difference and energy consumption concentration are remarkably reduced, the energy efficiency of the whole machine is improved by 8%-15%, the service cycle is prolonged, and the method is suitable for a high-end equipment transmission system under the high-dynamic heavy-load working condition.

The invention relates to the technical field of balance valves, and discloses a load compensation balance valve which comprises a balance valve body and an adjusting nut, a locking cap is in threaded connection with the outer arc surface of the adjusting nut, the right side of the locking cap is in contact with a main valve element spring, and the end, away from the locking cap, of the main valve element spring is in contact with a tip cone. The function of a one-way valve of one balance valve element assembly is canceled, so that oil inlet from a V port to a C port depends on the pressure of a control oil port and generates driving pressure through a throttling network composed of a specific throttling hole, the one-way valve and a bypass throttling hole, and the other balance valve element assembly obtains the driving pressure equal to the pressure of the control oil port through an independent throttling hole. A pressure difference is formed to realize sequential opening of the two assemblies; the linkage logic inhibits the jitter of the multiple feedback system under the negative load, stabilizes the falling speed of the arm support, and avoids the risk of overturning of the whole machine caused by the dynamic load.

The invention discloses an annular furnace heat-resistant supporting forged chassis and an additive manufacturing process and a fixing device thereof, and belongs to the technical field of plating of metal materials, and the annular furnace heat-resistant supporting forged chassis comprises the steps that heat-resistant alloy steel base metal with specific components is prepared; carrying out laser texturing and nickel-based alloy bottom layer pretreatment on the surface of the steel plate; performing laser cladding on high-silicon high-temperature alloy powder containing niobium and rare earth elements to form a functional cladding layer, and performing gradient cladding on the edge of the atmosphere guide hole; and finally, carrying out heat treatment and assembling with a fan-shaped refractory brick fixing device. A composite oxide film and a multi-scale strengthening system are constructed, hydrogen resistance and brittleness resistance are effectively achieved, interface thermal stress is relieved, cracking and stripping of a cladding layer are avoided, a fixing device adapts to thermal expansion, the atmosphere is dredged, and the annealing uniformity of a steel coil is improved; the problems of creep deformation, hydrogen embrittlement, cladding layer stripping and thermal stress cracking of a traditional supporting component under the conditions of high temperature, heavy load and nitrogen and hydrogen atmosphere are solved.

The invention discloses a heavy-load unmanned helicopter cooperative hoisting method based on multi-agent learning. The heavy-load unmanned helicopter cooperative hoisting method comprises the following steps: constructing a multi-agent environment state vector; establishing an intelligent body model for each unmanned helicopter; obtaining a connection structure and initialization parameters of a multi-agent strategy network by using an improved CPPN network, and initializing an agent model; performing multi-agent learning training on the initialized agent model to form a multi-agent strategy model; generating a cooperative control instruction through a preset index rule; continuously collecting the updated multi-agent environment state vector, and generating an updated cooperative control instruction; collaborative lifting process data are formed; and the improved CPPN network and the multi-agent strategy model are updated, so that stable cooperative control and adaptive optimization of the multiple unmanned helicopters in a heavy-load hoisting scene are realized.

The invention discloses a method for rapidly evaluating the fatigue life of a steel trestle for extreme heavy load impact, and relates to the technical field of bridge fatigue life evaluation. Establishing an extreme impact load probability model; multi-source bridge monitoring; establishing and correcting a finite element model; efficiently simulating a fatigue damage field; carrying out multi-stage modeling and prediction on crack propagation; performing multi-scale damage accumulation fusion analysis; and carrying out residual life evaluation and multi-dimensional risk grading. Through combination of extreme impact load modeling, multi-source data fusion and a physical constraint neural network technology, the impact load can be accurately identified and the stress response of the structure can be calculated under an extreme heavy load working condition, and meanwhile, a three-stage crack propagation model is introduced to comprehensively describe the whole process from microscopic damage to structure fracture. And the efficiency and reliability of fatigue life evaluation are obviously improved.

The utility model belongs to the technical field of automatic transportation equipment, and particularly relates to an elbow arm type heavy load driving wheel device which comprises a disc bearing, a mounting base plate, a fixed arm, an elbow arm, a hinge shaft A, a hinge shaft B, a hinge shaft C, a hydraulic cylinder, a steering motor, a transmission gear, a driving wheel mounting frame and a driving wheel. According to the elbow arm type heavy load driving wheel device, the functions of bearing, lifting, driving and steering can be integrated in the same module, so that the dependence of the interior of a vehicle body on an extra steering mechanism and an extra lifting mechanism is reduced, and the compactness and the space utilization rate of the whole vehicle structure are improved. By adopting the elbow arm type lifting structure, the wheel set forms an arc-shaped motion trail in the lifting process, and compared with a traditional linear guide rail type lifting mode, loads and impact force can be more effectively dispersed, the local stress concentration phenomenon is reduced, and the occurrence probability of the problems of guide rail abrasion, clamping stagnation and the like is reduced; and the long-term stability and reliability of the structure under the heavy load working condition are improved.

The application provides a permanent magnet eddy current governor for constant torque load heavy load starting and a control method thereof, and belongs to the technical field of permanent magnet eddy current transmission speed regulation. The permanent magnet eddy current governor comprises a conductor cylinder, a magnet disc, a transmission shaft and a magnet disc axial traction mechanism. The conductor cylinder is connected with a motor input shaft, the inner wall of the conductor cylinder is fixed with two groups of annular conductor sleeves, the annular conductor sleeves are divided into starting zones and rated working zones in the axial direction, and the two groups of starting zones are separated by an idle zone. The transmission shaft passes through the rear end of the conductor cylinder, the front end is located in the conductor cylinder, and the rear end is connected with a load output shaft. The magnet disc is installed on the shaft rod of the transmission shaft located in the conductor cylinder, and the outer ring surface of the magnet disc is uniformly distributed with permanent magnets. The magnet disc axial traction mechanism is used for driving two magnet discs to synchronously approach or move away from the center of the idle zone. The application can be used for motor idle starting, heavy load controllable starting, load balancing, speed regulation operation and unloading overload protection of constant torque load.

The application provides a transient frequency conversion control method of a converter and an electronic device. The method comprises the following steps: determining the working state of the converter, wherein the working state comprises a light load working state and a heavy load working state; if it is determined that the working state switches between the light load working state and the heavy load working state, starting a transient frequency conversion control strategy to adjust the switching frequency of the converter, wherein the transient frequency conversion control strategy is used to adjust the duration of the freewheeling stage in the switching cycle of the converter; after the working state of the converter switches, and the clamping capacitor voltage sampling value of the converter v c satisfies a preset condition, exiting the transient frequency conversion control strategy to restore the switching frequency of the converter to normal. The dynamic response speed of the converter is effectively improved, and the overshoot and drop of the output voltage when the converter is subjected to a step load are reduced.

The invention discloses a new energy emergency generator car control method and an emergency generator car, and relates to the technical field of new energy saving, and the method comprises the steps: receiving real-time load power, and storing the real-time load power in a time sequence cache region; based on historical load power data in the time sequence cache region, calculating to obtain a dynamic load fluctuation potential index; the current charge state and the real-time load power of an energy storage device in the new energy emergency power generation vehicle are obtained; determining a current operation mode in a preset three-dimensional decision space according to the current charge state, the real-time load power and the dynamic load fluctuation potential index, and calculating to obtain a dynamic target charge state; and under the condition that the current operation mode is the active pre-charging mode, a range extender of the new energy emergency power generation vehicle is controlled, so that the charge state of the energy storage device is improved to the dynamic target charge state. According to the invention, the energy consumption of the new energy emergency power generation vehicle in the case of sudden heavy load can be effectively reduced, and the risk of power supply interruption is effectively reduced.

The invention relates to the technical field of new energy, in particular to an efficiency optimization method of a DAB converter, electronic equipment and a storage medium. The method comprises the following steps: calculating a staggered ratio coefficient and a first phase shift parameter in a heavy load mode and a first phase shift parameter in a light load mode according to an output power reference value, a battery side voltage sampling value and a bus side voltage sampling value; determining a second phase shift parameter and a switching frequency in the heavy load mode according to the staggered proportion coefficient and the first phase shift parameter in the heavy load mode, and determining a second phase shift parameter in the light load mode according to the first phase shift parameter in the light load mode; and determining a current working mode based on the staggered proportion coefficient in the heavy load mode and a preset dead zone proportion, and generating a driving signal of each power switch based on the first phase shift parameter, the second phase shift parameter and the switching frequency corresponding to the current working mode. According to the method, the overall efficiency of the DAB converter under different load conditions is improved.

The invention discloses a transverse fixed axle assembly capable of achieving Ackerman steering through mechanical linkage, and belongs to the technical field of engineering vehicle chassis. A rear axle is transversely and rigidly fixed to a frame through a shear-resistant box girder structure, and a front axle is connected to the frame through two springs; the rotating pair structures are symmetrically arranged at the two ends of the axle main body and comprise embedded heavy-duty bearings; one end of the steering knuckle arm is hinged to the axle main body through a rotating pair structure, and the other end is connected with the steering pull rod; one end, far away from the rotating pair structure, of the steering pull rod is connected with the steering oil cylinder; the steering pull rod of the front axle and the steering pull rod of the rear axle are crossed and hinged in an X shape, so that intersection points of axes of the front and rear wheels converge at an instantaneous steering center during steering. Abrasion and slipping of tires can be reduced, steering precision is ensured through a pure mechanical structure, the failure risk of an electric control system is avoided, and the system is suitable for heavy equipment such as mining trucks and port cranes.

The invention discloses heavy-load and self-driven intelligent loading and unloading conveying equipment which comprises a base frame, a brake mechanism, a power roller way, a driving mechanism, a transmission mechanism and a traction structure. The base frame adopts a channel steel full-welded frame and is provided with universal wheels and rolling wheels; the power roller way consists of ten heavy-load main rollers and is connected with a driving motor and a speed reducer through a chain wheel-chain mechanism; the brake mechanism is linked with the mop structure, the protective tube protects the cable, and the position detection sensor and the band-type brake motor realize safety control; the automatic loading and unloading device can cooperate with a tractor to work, the requirement for automatic loading and unloading of goods of 7000 kg is met, the loading and unloading efficiency is improved by more than or equal to 40%, the problems that existing equipment is poor in mobility and large in potential safety hazard are solved, and the automatic loading and unloading device is suitable for small and medium-sized sites and unmanned transfer scenes.

The invention relates to the technical field of hoisting equipment, and provides a lithium battery unmanned monorail hoist which comprises a suspension track and a hoist assembly, the hoist assembly comprises a car body unit, a hoisting and conveying unit and a suspension unit, the suspension unit is arranged on the suspension track, and the suspension unit comprises a power suspension unit and a load suspension unit. The vehicle body unit is connected with the power suspension unit, the hoisting conveying unit is connected with the load suspension unit, the load suspension unit comprises a suspension beam, load frames, load wheels and guide wheels, the load frames are arranged at the two ends of the suspension beam and comprise mounting ends on the two sides of a suspension rail, and the guide wheels and the load wheels are arranged at the mounting ends. The guide wheels abut against the guide side faces of the suspension rails, and the load-carrying wheels abut against the load-bearing faces of the suspension rails vertically. The problems that in the prior art, when a traveling wheel body of a suspension type rail crane faces a heavy load, due to the fact that the contact face is incomplete, the service life of the wheel body and components of the wheel body is prolonged, and the operation stability is poor are solved.

The invention discloses a cooperative operation control method and system driven by parallel pumps of a crane based on working condition identification, and belongs to the technical field of engineering machinery, and the cooperative operation control system comprises an intelligent working condition sensing and control module, a discrete hydraulic driving module, a cooperative speed regulation module and a dynamic response execution module, a parallel pump set strategy is dynamically configured in combination with working condition identification of load pressure, a cargo boom angle and a handle input signal, and flow is smoothly output as required on the basis of grading of light loads, medium loads and heavy loads and cooperative adjustment of the number of matched constant delivery pumps and the rotating speed of a motor according to the single-action working condition; aiming at the hoisting and variable-amplitude composite action, a variable-speed volume control or pump valve cooperative control mode is selected by judging the state of a proportional switch electromagnetic valve, the flow distribution and dynamic response are optimized, the energy efficiency is improved to 82% or above, meanwhile, the speed fluctuation rate control of + / -5% is realized, and the method is suitable for the electric upgrading scene of the crane.

The invention discloses an intelligent cooperative control method and system for an extra-heavy hydrogen energy special vehicle, and belongs to the technical field of new energy vehicles. The method comprises the steps of collecting vehicle state data through a sensor network; based on the state data, adopting a model predictive control (MPC) algorithm to solve an optimal torque and distributing the optimal torque to the distributed driving system; according to the part temperature data, a thermal system is regulated and controlled through a thermal management algorithm TMS; and preprocessing the hydrogen system data, inputting the hydrogen system data into the LSTM model, and outputting leakage probability and positioning to execute multi-stage early warning. The system comprises a central controller, a sensor network and a combined driving system. Through multi-core domain control deep fusion of MPC, TMS and LSTM, global optimization collaboration of multiple groups of high-power hydrogen fuel cells, a high-density high-power energy storage battery pack, a liquid hydrogen storage and safety module, multiple groups of axial flux motor driving systems, a sensing network and central control extra-heavy vehicle parts is realized; and the endurance mileage of the vehicle and the intelligent control heavy load performance in a mine field and a special scene are effectively improved.

The invention discloses a heavy load group train interval control method capable of evaluating vehicle dynamics in real time, and the method is based on a distributed interval control strategy of first optimization and second control, and a complex group train interval control problem is decomposed into an optimization stage and a control stage. A group train speed curve optimization model based on a particle swarm algorithm is established, front and back train speed curves meeting collision avoidance and the shortest tracking interval are independently optimized, and then a three-dimensional train dynamics model is designed to achieve high-precision tracking of the optimal speed curve. Finally, the dynamic performance of the train is evaluated while the interval control of the heavy-load group train is realized.

The invention discloses a dynamic adjustment method and system for the tire pressure of an electric truck and electronic equipment, and relates to the technical field of new energy commercial vehicles, and the method comprises the steps that a vehicle load signal and a vehicle speed signal are obtained in real time; determining a basic tire pressure value according to the load signal; determining a corresponding vehicle speed tire pressure threshold value according to the vehicle speed signal; taking the basic tire pressure value as a reference value with the highest priority, taking the vehicle speed tire pressure threshold value as an auxiliary adjustment condition, and taking the larger value of the basic tire pressure value and the vehicle speed tire pressure threshold value as a target tire pressure value; and controlling an execution mechanism to adjust the tire pressure to the target tire pressure value. The tire burst risk caused by insufficient tire pressure under heavy load is avoided to a certain extent, and the problem that the road holding force is reduced due to overhigh tire pressure under light load and high speed is also avoided. The system runs fully automatically, can adapt to various complex working conditions from no load to heavy load and from urban congestion to high-speed cruise without intervention of a driver. And the optimal tire pressure is kept, so that the problems of tire eccentric wear, abnormal wear and the like caused by improper tire pressure are avoided.

The invention provides a transformer heavy overload evaluation analysis method and device, and the method comprises the steps: building a thermal circuit model of load-induced heat point temperature rise of a transformer according to the heating power, equivalent heat capacity and equivalent heat resistance of an internal winding of the transformer, and load-induced heat top oil temperature rise of the transformer; converting a heat flow source in the heat circuit model into a hot pressure source based on the Thevenin theorem, constructing an equivalent heat circuit model of the heat circuit model, and calculating load heating hot spot temperature rise of the transformer under different load rates according to the equivalent heat circuit model; according to the historical environment heating temperatures of the transformer under different load rates, obtaining predicted environment heating temperatures of the transformer under different load rates; and obtaining winding hot-spot temperatures of the transformer under different load rates according to the load heating hot-spot temperature rise and the predicted environment heating temperature of the transformer under the same load rate. According to the invention, the thermal state sensing precision of the transformer under the dynamic load is improved.

A rigid locking binder for mechanically securing large, heavy loads and tie-down chains used for securing loads. The variable length binder comprises a rigid, threaded rod coaxially coupled within an elongated sleeve, such that relative axial displacements of the rod relative to the sleeve or vice-versa results in lengthwise expansion or contraction. The binder has chain hooks at opposite ends, that are pivotally associated with remote ends of the rod and sleeve for coupling to loads or anchor points. An assembly for selectively locking the sleeve and rod together establishing a selected binder length comprises a rigid lever pivotally mounted to the sleeve that controls a thread locking mechanism. The lever is pivoted between parallel pin plates secured to the sleeve. The thread locking mechanism comprises a threaded half nut that selectively engages or disengages rod thread portions that are exposed through an access window defined in the sleeve.

The invention discloses a dispatching command management system for a heavy haul railway train, and the system comprises a first terminal, a second terminal, a server, and a vehicle-mounted terminal: the first terminal is used for responding to a first selection operation for a target dispatching command in a to-be-sent box and a second selection operation for a group sending binding control; sending indication information to the second terminal, wherein the indication information is used for indicating the second terminal to display the group sending setting interface; the second terminal is used for displaying a group sending setting interface in response to the indication information; in response to a third selection operation for multiple pieces of command triggering information displayed in the group sending setting interface, generating binding information, and sending the binding information to the server; and the server is used for acquiring the running state information of the multiple trains and sending a target dispatching command to the vehicle-mounted terminal in the train under the condition that the running state information of each train is matched with the binding information. By adopting the system, the dispatching command for the heavy haul railway train can be managed.

The invention discloses a control method for improving the heavy load efficiency of an asynchronous parallel soft switching inverter, and the method comprises the following steps: S1, constructing a topological structure of the asynchronous parallel inverter, generating a DPWM modulation wave through zero-sequence component injection in a QCM mode, and enabling a power tube not to act in a specific interval in a fundamental wave period; s2, adjusting a clamping interval of a DPWM1 strategy by correcting the injected zero-sequence component; s3, calculating a phase shift angle, and generating carrier waves of a leading bridge arm and a lagging bridge arm; s4, when the power tube enters or exits from the non-action interval, transition interval control is carried out, so that the differential mode inductance circulating current is reduced to 0; and S5, generating a driving signal of a hybrid control strategy based on DPWM modulation, and controlling a switching tube to act according to the optimized clamping interval and transition logic. According to the method, the current stress and on-state loss of the power tube of the asynchronous parallel inverter under the heavy load are reduced, and the current stress minimization of the power tube and the efficiency maximization of the inverter are realized.

The invention discloses a high-alloy steel nitriding-laser quenching composite surface strengthening method which comprises the following steps: sequentially polishing the surface of high-alloy steel by using 240-mesh waterproof abrasive paper and 2000-mesh waterproof abrasive paper, then sequentially putting the high-alloy steel into ethanol and acetone for ultrasonic cleaning, and nitriding the pretreated high-alloy steel to form a nitriding layer; and cooling to room temperature along with the furnace under the atmosphere of nitrogen or ammonia gas to obtain the high alloy steel containing the nitriding layer. And blackening treatment is conducted in the atmosphere of argon or nitrogen, then laser quenching treatment is conducted, and high alloy steel surface strengthening treatment is completed. According to the nitriding-laser quenching composite surface strengthening process, the problems that a high alloy steel nitriding layer is shallow (smaller than 0.2 mm), interface brittleness is achieved, and the retained austenite content is high (larger than 20%) are effectively solved, the total treatment time is shorter than or equal to 16 h, the surface hardness of a modified layer is larger than or equal to 600 HV0.1, the thickness of the modified layer is larger than or equal to 1.5 mm, and the nitriding-laser quenching composite surface strengthening process is suitable for preparing key components such as aviation gears and heavy-duty bearings.

The invention discloses a heavy-load AGV hydraulic suspension attitude keeping method, and belongs to the technical field of heavy-load AGV control, and the method comprises the steps: obtaining a vehicle-road surface joint state vector through sliding mode-extended Kalman filtering, obtaining a vehicle linearization dynamic matrix and a covariance thereof through a gating circulation unit network, and obtaining a vehicle-road surface joint state vector; and on the basis, a model prediction controller of a variable prediction time domain is used for outputting a target cylinder displacement instruction and a pressure instruction, and the instructions are corrected in real time so as to realize dynamic level control of the vehicle platform. According to the method, a sensing, decision-making and execution closed-loop self-adaptive link is formed through a four-source coupled pavement and centroid estimation link, a double-layer decision-making architecture composed of a gating circulation network and model prediction control, and a hydraulic network tension compensation mechanism based on a graph convolution network; and road surface prior, load distribution and multi-cylinder pressure instructions can be synchronously updated in a millisecond-level time scale, so that the dynamic levelness and the energy utilization rate are remarkably improved.