2999 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 the technical field of ship control, and particularly provides an energy optimization method and device for a pure electric tug, a storage medium and a control system. According to the method, the operation navigation data, collected in real time, of the pure electric tug can be input into the pre-constructed operation classification model, and the real-time operation state is obtained. If the real-time operation state of the pure electric tug is a heavy load dragging state, determining the current propulsion power demand and the total power demand of a propulsion system in the pure electric tug, and inputting the operation navigation data, the current propulsion power demand and the total power demand into a pre-constructed power distribution model, and performing power distribution according to a power distribution coefficient output by the model. Therefore, the power distribution response can be quickly and accurately made based on the intelligent power distribution model, and the intelligent ship is realized. Moreover, electric energy supply of the propulsion system can be guaranteed preferentially, so that sufficient power supply of the propulsion system can be guaranteed, and the operation efficiency of the pure electric tug can be improved.

The present application discloses a regional traffic heavy load digital weighing method and synergy system, the weighting method includes: based on data of a physical weighing system available in a region and basic data of a bridge in the region, selecting a reference physical weighing system at a position and a number M and determining a reasonable number N of bridge group transfer layers; based on the reference physical weighing system, constructing a corresponding single digital bridge scale model; obtaining a branch scale network model based on the reference physical weighing system through migration learning and correction; composing a regional digital scale network model based on branch scale network models corresponding to different reference physical weighing systems.

The invention provides a smelting method for improving the stability of a blast furnace under the condition of high gas utilization rate, which comprises the following steps: step 1, using a bell-less furnace top, and preparing charging materials in a tank combination manner, the charging materials comprising coke and ore; step 2, annularly distributing the coke and the ore at a preset angle position in the blast furnace by adopting a simultaneous loading and distributing method; and step 3, keeping the gas utilization rate at 48-54.0%, carrying out blast furnace smelting, dynamically adjusting the oxygen enrichment amount and the coal injection amount of the blast furnace according to the furnace building condition, dynamically adjusting the fuel ratio or the air volume of the blast furnace according to the gas utilization rate decreasing condition, and dynamically adjusting the coal injection amount or the clean coke of the blast furnace according to the stockline decreasing condition. By accurately controlling the ore coke distribution gradient, forming a coal gas flow structure with heavy loads on the edge and an open center, the pressure difference in the furnace can be stabilized through linkage adjustment of the oxygen enrichment amount and the coal injection amount, the fuel ratio / air volume dynamically adjusts and compensates a heat notch, furnace temperature fluctuation is avoided, and the activity of the hearth is rapidly recovered according to the stockline abnormity, the coal injection or net coke supplement strategy.

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 discloses an excavator heat dissipation control method and system based on environment temperature and operation working conditions. The excavator heat dissipation control method comprises the steps that S1, the operation working conditions of an excavator are divided into five working conditions including the super-heavy load working condition, the heavy load working condition, the medium load working condition, the light load working condition and the super-light load working condition; s2, the external environment temperature is divided into 10 gears; s3, according to the environment temperature and the operation working condition, the heat dissipation requirement is divided into 10 gears; s4, the rotating speed of the cooling fan is adjusted according to the cooling requirement gear, so that the cooling requirement is accurately matched with the rotating speed of the cooling fan; and S5, whether the temperature of the working medium in the excavator is larger than a high-temperature threshold value or not is judged, if yes, heat dissipation is conducted according to the corresponding heat dissipation fan rotating speed obtained through the heat balance test, and if not, heat dissipation is conducted according to the actual heat dissipation requirement gear standard. The problem of heat dissipation redundancy caused by single parameter control is solved, and dynamic matching of the rotating speed of the fan and the composite heat dissipation requirement is achieved. And the energy consumption under the low-load working condition and the cold environment is reduced, and the risk of insufficient heat dissipation under the high-temperature heavy-load working condition is avoided.

A pushing chain for a villa elevator relates to the technical field of pushing chains and comprises a pushing chain body, the pushing chain body comprises a first chain plate and a second chain plate, limiting grooves are formed in the upper portions of the front ends of the first chain plate and the second chain plate, limiting blocks are arranged on the upper portions of the rear ends of the first chain plate and the second chain plate, and the limiting grooves are used in cooperation with the limiting blocks. First protrusions extending forwards are arranged at the bottoms of the front ends of the first chain plate and the second chain plate, first connecting holes are formed in the first protrusions, second protrusions are arranged at the rear ends, where the inner sides of the lower portions of the limiting blocks are located, of the first chain plate or the second chain plate, and second connecting holes are formed in the second protrusions. The second protrusions are bent and translated towards the outer side relative to the first chain plates or the second chain plates, the translating distance is the same as the thickness of the first protrusions, and the second protrusions of the first chain plates and the second chain plates are opposite in direction relative to the first protrusions. The device is used for being installed on the side face of the villa elevator car and has the advantages of being simple in structure, small in occupied space, high in speed, large in load, low in maintenance cost, safe and reliable.

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.

According to the collision detection method for the high-reduction-ratio and large-load mechanical arm, the problems of sensitivity and reliability of collision detection of the high-reduction-ratio mechanical arm are solved by combining a two-stage detection mechanism with tail end vibration characteristics and joint torque errors; according to the first-stage detection, tail end vibration signals are captured in real time through a three-axis acceleration sensor, and rapid recognition of slight collision is achieved; in the second-stage detection, joint torque errors are calculated based on current feedback, the nonlinear effect of the speed reducer is compensated in combination with a kinetic model, and the accuracy of violent collision detection is improved. High-precision collision identification and multi-level safety control of the mechanical arm and an external object under the heavy load working condition are achieved, and meanwhile the anti-interference capacity and reliability of a detection system under the complex working condition are improved.

The invention discloses a CLLLC converter light load efficiency improvement and load expansion circuit based on variable resonant cavity regulation and control and a control method thereof. The circuit comprises a primary side full bridge, a variable resonant cavity, a secondary side rectifier and an output loop, the digital control unit detects the load in real time, and drives and switches the parallel or series capacitor branch to adjust the equivalent resonant capacitor; and the auxiliary buffer branch is used for soft start and sudden change buffer. According to the control method, capacitance is reduced during light load, efficiency is improved, capacitance is increased during heavy load, gain linearity is kept, the load range is widened, and smooth starting is achieved. The device is compact in structure and easy to control, the light load efficiency can be remarkably improved, the load application range is expanded, and the device has high reliability and good industrialization prospects.

The invention provides a vehicle power generation control method, a controller, a vehicle and a storage medium. The vehicle power generation control method comprises the steps that the characteristic power # imgabs0 # of a vehicle comprising a range extender under all typical working conditions is determined, and the typical working conditions of the vehicle comprise the light load working condition, the light medium load working condition, the medium load working condition, the medium heavy load working condition and the heavy load working condition; based on the characteristic power # imgabs1 # of the vehicle under each typical working condition, the optimal power generation power of the range extender under each characteristic power # imgabs2 # is determined, and the optimal power generation power is the power generation power of the range extender with the highest power generation capacity under unit oil consumption; the actual required power # imgabs3 # of the vehicle is calculated; according to the actual required power # imgabs4 # of the vehicle, whether the range extender works or not is determined, and when the range extender works, the power of the range extender is made to be equal to the optimal power generation power under the characteristic power # imgabs6 # corresponding to the actual required power # imgabs5 # of the vehicle. In this way, vehicle energy consumption can be reduced.

The present disclosure provides a handcart that facilitates alignment of a load even when a heavy load is placed. To this end, the handcart includes: a vehicle main body including a wheel on a lower surface and a handle erected on a rear portion; and a platform disposed on an upper surface of the vehicle main body to be movable in a lateral direction.

The invention discloses a heavy load type lifting carrying stacking robot which comprises a guide rail plate, guide blocks are slidably mounted on the upper surface of the guide rail plate, a connecting cylinder is fixedly mounted between the two guide blocks, a transverse transmission mechanism is fixedly mounted in the connecting cylinder, a first U-shaped frame is fixedly mounted on the upper surface of the connecting cylinder, and an I-shaped frame is slidably mounted in the first U-shaped frame; a lifting mechanism is fixedly installed in the I-shaped frame and installed on the outer surface of a first threaded rod in a threaded mode, the first threaded rod is fixedly installed between the connecting cylinder and the first U-shaped frame, a guide rail frame is fixedly installed at one end of the I-shaped frame, and an extending mechanism is slidably installed in the guide rail frame. Through the design of the clamping mechanism and the extending mechanism, goods can be automatically stacked and placed in the goods shelf, the stacking and placing processes are both automatically operated, the manual carrying time is shortened, and the grabbing size can be automatically adjusted according to the size of the goods.

The invention discloses a heavy-load group train battery fault monitoring method, which comprises the following steps of: obtaining historical data of a normal battery and preprocessing the historical data to obtain normalized historical data; a LightGBM-ELM auto-encoder model is constructed, and the auto-encoder model is trained based on the normalized historical data; obtaining real-time data of the vehicle-mounted battery, and carrying out feature standardization on the real-time data to obtain normalized real-time data; inputting the normalized real-time data into the trained auto-encoder model to obtain reconstruction data corresponding to the real-time data, and judging whether a reconstruction error between the real-time data and the corresponding reconstruction data reaches an abnormal standard or not based on an abnormal judgment threshold; according to the method, whether the difference between the real-time data and the reconstruction data output by the auto-encoder model reaches the abnormity judgment threshold value is judged through the trained auto-encoder model, the abnormal data which is not consistent with the normal battery is quickly identified, and the real-time detection of the battery fault is realized.

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 a three-phase imbalance treatment method and a micro-energy regulator, and belongs to the technical field of power supply systems. The method comprises the steps that when a three-phase imbalance phenomenon occurs, the three-phase imbalance degree is obtained according to the maximum power deviation between phases and the total power of the three phases; when the three-phase unbalance degree is greater than a preset unbalance degree, calculating the single-phase power deviation of each phase according to the three-phase average power and the single-phase power of each phase; comparing the three-phase total power with a preset transformer area load rate, and when the three-phase total power is greater than the preset transformer area load rate, storing energy and discharging; if yes, the single-phase power deviation needs to be updated according to corresponding design requirements; for energy storage, the total discharge power or the total power absorption power of each phase is determined according to the updated single-phase power deviation, proportional gain and integral gain; and discharging or absorbing electricity for each phase until the total discharging power or the total electricity absorbing power of each phase is met. According to the invention, the phenomenon of heavy load or return of the transformer area can be reduced.

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 a special-shaped magnetic tile which comprises a magnetic tile body, the magnetic tile body is provided with five magnets and is composed of three groups of different magnetic tiles, the back of the magnetic tile body is of an arc structure, and the bottom of the magnetic tile body is of a horizontal structure. The outer sides of a group of same magnetic blocks on the left side and the right side of the magnetic tile body structure are ground into fillets with the same radius. The special-shaped magnetic shoe has the advantages of being large in magnetic force, small in weight and small in size, compared with an existing magnetic shoe combination, the special-shaped magnetic shoe has the higher magnetic mass ratio, the heavy-load operation capacity of a vertical face walking robot is greatly improved, and high economic benefits and safety are achieved.

The present invention relates to an intelligent control method, device and equipment for a heavy-load robot, belonging to the field of heavy-load robots. The present invention calculates the torque information received by each lever arm in each operable posture according to the mass information of the goods and the operable posture data set of the heavy-load robot, and finally obtains the operating posture of the heavy-load robot in the process of picking and unloading goods according to the torque information received by each lever arm in the operable posture and the motion path of the position of the goods during the handling process, and controls the heavy-load robot according to the operating posture of the heavy-load robot in the process of picking and unloading goods. The present invention fully considers the change of the maximum load torque of each lever arm of the heavy-load robot under different operating postures, so that the heavy-load robot changes the operating posture according to the maximum load torque characteristics, which can increase the service life of the heavy-load robot, reduce the maintenance cost of the heavy-load robot, and make the control of the heavy-load robot more reasonable.

The invention relates to a single-leg hydraulic power-assisted exoskeleton control method and device under heavy load and an exoskeleton. The control method for the single-leg hydraulic power-assisted exoskeleton under the heavy load comprises the steps that pump valve flow distribution of all the joints is conducted according to the expected flow alpha2p of a rod cavity and the expected flow Q1m of a rodless cavity of a hydraulic cylinder in all the joints, then the control voltage of a variable-speed pump and a servo valve corresponding to all the joints is obtained, and the action of the single-leg hydraulic power-assisted exoskeleton is controlled; the pump valve flow distribution method comprises the steps that the control voltage of the variable-speed pump corresponding to the hydraulic cylinder i and the control voltage of the servo valve corresponding to the hydraulic cylinder i are determined, and the pump control part and the valve control part are controlled according to the control voltages. According to the heavy-load single-leg hydraulic power-assisted exoskeleton control method, the scheme that the pump provides low-frequency flow and the valve provides high-frequency flow is adopted for flow distribution, the problem of flow distribution caused by non-negligible oil compressibility under the heavy load is solved, and system energy consumption under the heavy load is reduced.

The invention discloses a control method of a hybrid power system, the hybrid power system and a hybrid excavator. The control method of the hybrid power system comprises the steps that the required power of a hydraulic system, the required power of an electrically-driven rotation system and the current electric quantity of an energy storage module are obtained; the total demand power of the system is calculated according to the demand power of the hydraulic system and the demand power of the electric drive rotation system; determining the working mode of the hybrid power system according to the size relation between the total demand power and a first preset value and the size relation between the current electric quantity of the energy storage module and an electric quantity limit value; when the hybrid power system is in the heavy load mode, the generator motor is controlled to provide power for the hydraulic system; and when the hybrid power system is in the light load mode, the generator motor is controlled to convert part of kinetic energy generated by the engine into electric energy to charge the energy storage module. The system reliability can be enhanced, energy consumption and emission are reduced, and efficient utilization of energy is achieved.

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 heat-treated steel rail with good comprehensive mechanical properties. The steel rail comprises the following chemical components in percentage by weight: 0.70-0.80% of C; 0.50% to 0.70% of Si; 0.80% to 1.00% of Mn; 0.02 to 0.10 percent of V; 0.02 to 0.07 percent of Nb; ti: 0.005% to 0.020%; less than or equal to 0.020% of P; less than or equal to 0.015% of S; al is less than or equal to 0.01%; the balance is Fe and inevitable impurities; the invention further discloses a preparation method of the heat treatment steel rail with the good comprehensive mechanical property. The preparation method comprises the steps of molten iron pretreatment, converter smelting, LF ladle refining, VD vacuum degassing, continuous casting, steel billet heating and steel rail rolling. The invention aims to provide the heat-treated steel rail with good comprehensive mechanical properties, and the heat-treated steel rail with good strength and toughness ratio can be prepared, and the service life of the steel rail under freight heavy load conditions can be prolonged.

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 embodiment of the invention relates to the field of heavy load operation monitoring, and discloses a heavy load railway train operation environment sensing system. The system comprises a line environment monitoring device which is installed in a line extension direction; the foreign matter invasion monitoring device is arranged in the target monitoring protection area; the tunnel deformation monitoring device is mounted on the heavy haul train; the vehicle-mounted positioning device is mounted on the heavy-load train; and the data management platform is used for analyzing and processing according to the monitoring data fed back by each device so as to monitor the running safety state of the train. The system provided by the invention solves the technical problem of poor safety caused by incomplete monitoring of the running environment of the heavy haul railway train, and at least can achieve real-time monitoring and tracking of line dangerous situations such as perimeter invasion, natural disasters and facility deformation of the transportation line of the heavy haul railway and the position of the running vehicle; and data support and technical means are provided for scientific decision making of an operation dispatching center.

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.