1778 results about "Rollover" patented technology

The invention relates to a vehicle suspension control method and device, computer equipment and a readable storage medium. The method comprises the following steps: combining obtained vehicle body dynamics time series data, vehicle control time series data and environment perception time series data in a vehicle driving process into time series data of multiple channels, determining a self-adaptive modal number of the time series data under each channel according to the time series data under each channel, and determining the self-adaptive modal number of the time series data under each channel according to the self-adaptive modal number of the time series data under each channel; and performing modal decomposition on the time sequence data based on the adaptive modal number, extracting frequency domain characteristics of the time sequence data, integrating the frequency domain characteristics of the time sequence data of the multiple channels, inputting the frequency domain characteristics into a trained suspension control parameter prediction model to obtain target time sequence characteristics for predicting suspension control parameters, and performing prediction on the suspension control parameters based on the target time sequence characteristics. Vehicle suspension control parameters are obtained through prediction, and a suspension system of the vehicle is controlled based on the vehicle suspension control parameters. By adopting the method, the risk of rollover of the vehicle can be obviously reduced.

The invention relates to the technical field of forklift driving stability control, in particular to a forklift driving stability control system based on ultrasonic and laser composite ranging, which comprises a composite ranging module, a multi-modal data fusion module, a stability prediction and control module, an execution mechanism control module and an online learning system. The composite distance measuring module collects surrounding environment information and corrects motion errors through a dynamic compensation algorithm; the multi-modal data fusion module dynamically adjusts the weight of the sensor based on an environmental interference factor, and realizes space-time calibration in combination with extended Kalman filtering; the stability prediction and control module is fused with the vehicle dynamic characteristics to predict the rollover risk and generate a hierarchical control instruction; the actuating mechanism control module drives actuating components such as an active suspension and an electronic differential mechanism through a layered framework. The method can adapt to complex working conditions, the prediction precision and fault-tolerant capability are improved, safety and efficiency are balanced, the maintenance cost is reduced, and the method is suitable for various forklifts.

The invention relates to the technical field of tire burst control, and discloses a vehicle tire burst control method and device, a vehicle, a storage medium and a program product.The vehicle tire burst control method includes the steps that after vehicle tire burst is detected based on vehicle condition information parameters, the tire burst information is adjusted according to an offset adjusting mode corresponding to the position of a tire burst wheel and the vehicle condition information parameters; the power-assisted steering torque and the yaw velocity of the vehicle are adjusted, so that the vehicle enters a stable state with the low yaw velocity, the driving torque of the non-tire-burst wheel is conveniently redistributed, vehicle transient control is cooperatively performed from multiple dimensions, and the real-time performance is high. And the method is not limited by the current working condition of the vehicle, so that the vehicle can be kept stable after tire burst and has the stable running capacity at a certain speed, potential safety hazards such as rollover and drifting of the vehicle after tire burst are avoided, and the safety of the vehicle is improved.

The invention discloses a motor-driven tractor-semitrailer driving stability control method which comprises the following steps: firstly, establishing a tractor-semitrailer three-degree-of-freedom dynamic model, and solving yaw velocity expected values and side slip angle expected values of a tractor and a semitrailer according to driver input and actual vehicle states; secondly, according to the deviation between the expected value and the actual value of the vehicle state quantity, an upper-layer controller outputs the expected additional yaw moment, and the adaptive capacity to the parameter change of the semitrailer is achieved; the lower layer controller then outputs a torque on each wheel according to the desired additional yaw moment and the vehicle state, including a driving torque on the driving wheel and a braking torque on all wheels. By the adoption of the method for controlling the running stability of the motor-driven tractor-semitrailer, unstable working conditions such as rollover and folding of the tractor-semitrailer in the running process can be avoided, the running stability is improved, and meanwhile the method has the self-adaptive capacity for load changes of the semitrailer.

The invention relates to the field of control, in particular to a hoisting risk early warning method and system for a hoisting unmanned aerial vehicle, and the method comprises the steps: calculating a load balance index of the hoisting unmanned aerial vehicle; when the load balance index is smaller than a preset balance threshold value, executing primary early warning; marking the hoisting unmanned aerial vehicle with the minimum load as an abnormal unmanned aerial vehicle, and marking other hoisting unmanned aerial vehicles as normal unmanned aerial vehicles; when the primary early warning is executed, constructing a time sequence, and calculating an angular velocity change coefficient of the abnormal unmanned aerial vehicle at each moment; calculating difference values of relative positions of the abnormal unmanned aerial vehicle and the normal unmanned aerial vehicle corresponding to two adjacent moments, and summing all the difference values to obtain a relative movement value of the abnormal unmanned aerial vehicle corresponding to the moment; and calculating a rollover early warning index of the abnormal unmanned aerial vehicle, and when the rollover early warning index is greater than a preset rollover threshold value, executing secondary early warning. The abnormal condition of the unmanned aerial vehicle is effectively monitored, and the safety and efficiency of hoisting operation are improved.

The invention discloses an anti-rollover control method and system for a balanced heavy forklift truck, and relates to the field of forklift truck intelligent control, and the method comprises the steps: collecting forklift truck working condition data through a sensor group, transmitting the data to a central controller through a CAN bus, and carrying out the preprocessing; inputting a rollover risk assessment algorithm, calculating a boundary condition of a static stability triangle and dynamic lateral moment balance, generating a rollover risk coefficient in combination with working condition data of the forklift, and outputting a decision instruction set; dynamic load adjustment is carried out through a hydraulic servo controller, and load pose parameters are obtained; a motor controller is driven to implement torque vector distribution, a braking energy recovery unit is involved, controllable slow-release braking is applied to wheels on the inner side, and adjusted wheel motion state parameters are obtained; and comparing the theoretical prediction model to carry out residual analysis, triggering a residual correction strategy, and carrying out repetitive control. The working state of the forklift is collected in real time and dynamically analyzed, so that the safety of the forklift in the operation process is improved.

The utility model relates to the technical field of pallet forks, in particular to an anti-tipping pallet fork frame assembly which comprises a mounting frame, the mounting frame is connected with a lifting mechanism of a forklift, a rotating shaft is rotationally connected to the mounting frame, a protruding strip is fixedly connected to the rotating shaft, two pallet forks are further connected to the rotating shaft in a sliding mode, and the two pallet forks are arranged on the mounting frame. Sliding grooves matched with the protruding strips are further formed in the pallet forks, and an anti-tipping assembly is arranged in the mounting frame. The anti-rollover assembly comprises a worm gear fixedly connected to the rotating shaft, the worm gear is connected with a worm in a meshed mode, the worm is fixedly connected with an output shaft of a motor, and the motor is fixedly installed in the installation frame; a lateral moving mechanism is further arranged in the mounting frame and connected with the two pallet forks respectively. Through the arrangement of the anti-tipping assembly, the forklift can control the inclination degree of the pallet fork; and due to self-locking of the worm gear and the worm, the pallet fork can keep the inclination, so that goods on the pallet fork are kept stable in the transportation process.

The invention belongs to the technical field of automobile active safety, and provides a liquid tank type vehicle rollover risk early warning method and device, a medium and equipment. According to the technical scheme, the roll angle and the vehicle speed of a liquid tank type vehicle, position information of the vehicle and the liquid level height in a liquid tank are obtained; determining the total weight of the liquid tank vehicle based on the roll angle of the liquid tank vehicle and the liquid level height in the liquid tank; determining the current turning radius of the vehicle based on the position information of the liquid tank type vehicle; the total weight, the vehicle speed, the roll angle and the current turning radius of the vehicle serve as input variables, the current rollover risk serves as an output variable, the input variables and the output variable are fuzzified, and the current rollover risk of the vehicle is predicted after fuzzy reasoning; determining the current rollover risk level of the vehicle according to the current rollover risk value of the vehicle; and formulating a corresponding rollover early warning scheme based on the rollover risk level of the vehicle, and performing graded early warning. And through a refined grading early warning method, the rollover risk is effectively avoided.

The invention provides an anti-rollover control method and system for an electric automobile, and relates to the field of automobile body posture control. The control method comprises the following steps: collecting vehicle driving data; calculating a transverse load transfer rate based on the vehicle driving data, and calculating a comprehensive risk index in combination with the transverse load transfer rate and a sprung mass roll angle; the method comprises the following steps: presetting a comprehensive risk index early warning threshold value and a comprehensive risk index danger threshold value, judging the rollover working condition and the comprehensive risk index of the automobile, and executing a corresponding rollover prevention control strategy: when the rigidity of the suspension is changed, the comprehensive risk index still increases and exceeds the comprehensive risk index danger threshold value; the anti-rollover moment is changed by changing the control force of the suspensions on the two sides. After the suspension control force suppresses roll for a certain period of time, the comprehensive risk index is still not reduced to be below the early warning threshold value, the active steering system intervenes in combined control, the active steering system has two steering modes including front wheel steering and four-wheel steering, and different steering modes are used under different working conditions.

The invention discloses an active anti-rollover control system and method for an electric heavy truck based on joint early warning, and the system comprises a vehicle motion state obtaining module, a rollover index numerical calculation module, an anti-rollover early warning module, and an anti-rollover integrated control module, and the rollover index numerical calculation module is used for calculating an LTR value and a ZMP value; the anti-rollover integrated control module is connected with the anti-rollover early warning module and calculates a rollover time TTR value through comparison with a threshold value, the anti-rollover early warning module sends out different early warning signals through comparison of the TTR and the threshold value, different control systems are adopted for anti-rollover control, and the anti-rollover integrated control module comprises a control subsystem and a coordination controller. According to the electric heavy truck active anti-rollover control system and method based on combined early warning, two appropriate control subsystems are selected according to an early warning signal to carry out anti-rollover coordination control, a coordination controller uses a Nash equilibrium algorithm to solve and obtain an optimal control quantity, and coordination control is carried out. And the anti-rollover performance of the electric heavy truck is greatly improved.

The invention relates to the technical field of semitrailers, and discloses a side-turning self-dumping semitrailer which comprises a semitrailer body, a carriage, a driving mechanism and a movable side carriage door, and a side baffle structure and a door locking structure corresponding to the movable side carriage door are arranged on a lower side beam of the carriage. The side baffle structure comprises a baffle, a balance weight beam arranged on the top of the outer side face of the baffle and a plurality of supporting pipes vertically arranged on the baffle, and the bottoms of the supporting pipes are connected with a lower side beam pivot of the carriage. The side baffle structure and the door locking structure of the rollover self-dumping semitrailer can be opened and closed by ingeniously utilizing the rollover acting force of the carriage, the reliability is high, additional power sources (such as an oil cylinder and an air cylinder) do not need to be arranged, the manufacturing cost and the maintenance cost are reduced, and meanwhile the oil leakage risk is avoided. Due to the linkage design of the movable side compartment door and the baffle, the unloading process is smoother, manual intervention is not needed, and the problem that tires are prone to being buried by goods during unloading of an existing side-tipping dumper is fundamentally solved.

The invention discloses a rollover risk prediction method for an operation machine, and the method comprises the steps: determining target attitude information corresponding to the operation machine and a target rotation angle of the operation machine around a first rollover line under the condition that the operation machine is in a bucket supporting condition, the target posture information is used for representing the supporting posture of the operation machine under the bucket supporting working condition, and the first tip-over line is a connecting line between supporting points of the operation machine under the bucket supporting working condition; determining a target stability parameter corresponding to the operation machine based on the target attitude information, the target rotation angle and a preset mapping relation; the mapping relation is used for representing the relation among the rotation angle, the attitude information and the stability parameter of the operation machine; and determining the tipping risk of the operation machine according to the stability parameter. According to the invention, the tipping risk of the operation machine can be accurately determined.

Provided are a method and apparatus for controlling rollover prevention of a tank truck, a cloud, a tank truck, and a system for controlling rollover prevention of a tank truck. The method includes: obtaining vehicle information sent by the tank truck and liquid filling information obtained based on a sensor; inputting the vehicle information and the liquid filling information into a vehicle fine model and a liquid sloshing fine model respectively, and outputting a first parameter calibration result and a second parameter calibration result respectively; and transmitting the first parameter calibration result and the second parameter calibration result to the tank truck, determining a control target of the tank truck by combining vehicle state sensor information observation and liquid related sensor information observation, and controlling the rollover prevention of the tank truck based on the control target.

The utility model provides an automobile. The automobile comprises side coamings and a top cover beam, the side coamings comprise the first side coaming and the second side coaming, the first side coaming and the second side coaming are located on the two sides of the automobile correspondingly, the top cover beam is used for connecting the first side coaming and the second side coaming, the top cover beam comprises a beam assembly, and the beam assembly comprises a beam reinforcing plate. The beam reinforcing plate comprises a first side and a second side which are opposite, the first side is in lap joint with the first side surrounding plate, and the second side is in lap joint with the second side surrounding plate. The length of the cross beam reinforcing plate is increased, so that the cross beam reinforcing plate, the first side coaming and the second side coaming have a certain overlapping length, the connecting part of the top cover cross beam and the side coaming is firmer and more stable, the force transmission path from the side coaming to the top cover cross beam is reinforced, the bending resistance of the overlapping part is improved, and the service life of the top cover cross beam is prolonged. And the safety and the reliability of the automobile during collision or rollover are also improved.

The invention discloses an electric carrying equipment drive-by-wire chassis multi-domain collaborative anti-rollover control method, which comprises the following steps of: 1, constructing a rollover risk assessment and control strategy selection method, and calculating key parameters such as yaw velocity and lateral acceleration of a vehicle in real time; step 2, based on the rollover risk index model and the rollover critical threshold in the step 1, establishing a multi-domain collaborative rollover prevention control model, and performing collaborative scheduling on independent steering, hub motor differential steering and an ESP brake control system; step 3, based on the multi-domain collaborative anti-rollover control model in the step 2; and 4, based on the priority dynamic allocation and control strategy execution result in the step 3, the central control unit coordinates the complex interaction relationship among the subsystems by using a fuzzy logic control algorithm. The invention provides a reliable control strategy priority and use frequency method, and provides a more reliable anti-rollover solution for the electric carrying equipment under a complex dynamic working condition.

The invention discloses a vehicle driving risk prediction method and device in an off-road environment based on a large model, and relates to the technical field of off-road risk prediction, and the method comprises the steps: obtaining current vehicle state data and current environment perception data; determining a target multi-axis rollover risk index based on the current vehicle state data; determining a target lateral instability index based on the current vehicle state data and the current environment perception data; fusing the target multi-axis rollover risk index and the target lateral instability index to generate target risk level data; based on the current vehicle state data, the current environment perception data and the target risk level data, generating a target operation recommendation sequence through a large cross-country decision model; and outputting risk early warning information based on the target operation recommendation sequence.

The invention discloses a coil unloading centering method and related equipment, relates to the field of strip steel, and mainly aims to solve the problems that steel coils are not accurate enough in centering under the condition of coil unloading, and deflection and rollover of the steel coils are easily caused. The method comprises the following steps: acquiring first single-side edge position data of target strip steel; converting the first single-side edge position data from a first coordinate system to a second coordinate system to obtain second single-side edge position data; and based on the second single-side edge position data and the width data of the target strip steel, the vertical offset of the center line of the target strip steel relative to the center line of the unit is determined, and the vertical offset is used for adjusting the position of a coil unloading vehicle. The device is used for the coil unloading centering process.

The invention discloses an axle staged cooling system, an axle staged cooling assembly and an engineering vehicle. The axle staged cooling system comprises an engine first-stage cooling system, an engine second-stage cooling system, an axle first-stage cooling system and an axle second-stage cooling system. Each stage of cooling system controls cooling water and oil path trend through a thermolator in each loop, controls axle cooling oil and engine cooling water to exchange heat, and meets different cooling requirements of an axle. The temperature sensor in each loop outputs water and oil temperature signals to a motor of the cooling fan, so that the rotating speed of the fan is increased to different degrees along with the temperature rise of each cooling system, and different cooling powers are matched. According to the grading system, the engine and the axles can work at the proper temperature at the same time, the two heat exchangers cool cooling oil of the front axle, cooling oil of the middle axle and cooling oil of the rear axle respectively, the cooling capacity of the front axle is improved, the braking effectiveness of the front axle is guaranteed, and rollover caused by serious backward movement of the gravity center of a vehicle during emergency braking is prevented.

The invention provides a semi-trailer rollover early warning method and system based on dynamic threshold value prediction. The early warning method comprises the steps that the transverse acceleration, the yaw velocity, the vehicle speed, the suspension pressure and the front lane curvature of a semi-trailer are obtained in real time; according to the collected and calculated data and a linear trend extrapolation method, constructing a dynamic rollover risk threshold function and a comprehensive risk index function, and calculating a rollover risk threshold, a real-time risk value and a predicted risk value; the item with the higher value in the real-time risk value and the predicted risk value is selected and compared with a rollover risk threshold value, and whether early warning is triggered or not is judged, and a control instruction is issued; the early warning system comprises a semitrailer state monitoring unit, a lane curvature recognition unit, a rollover risk threshold calculation unit, a real-time risk value calculation unit, a predicted risk value calculation unit and an early warning control unit, and is used for realizing the early warning method, so that the response speed and the judgment accuracy of the semitrailer rollover early warning system under variable working conditions are improved.

The invention discloses an agricultural machine, an anti-rollover method thereof, a controller, a system and a medium. The method comprises the following steps: estimating a predicted roll angle after a set prediction time according to a roll angle, a roll angle speed and a roll angle acceleration in a set period; determining whether a tipping risk exists or not according to a comparison result of a larger value in the current side tipping angle and the predicted side tipping angle and a set angle threshold value and a comparison result of a current transverse load transfer rate of the agricultural machine and a set transfer rate threshold value; and determining rollover risk levels, and executing a preset active anti-rollover control strategy by adapting to different rollover risk levels. The invention provides a roll angle prediction algorithm for agricultural machinery, and further provides an active anti-rollover control strategy suitable for different rollover risk levels, so that the rollover risk caused by sensor data hysteresis can be effectively prevented.

The invention belongs to the technical field of intelligent manufacturing equipment, and discloses a symmetrical telescopic mechanical arm which comprises a supporting frame, telescopic mechanical arms are fixedly connected to the two sides of the top of an inner cavity of the supporting frame correspondingly, a balance weight mechanism is arranged at the output ends of the telescopic mechanical arms, and the balance weight mechanism comprises a first balance weight box. The first weight box is fixedly connected to the output end of one telescopic mechanical arm. When materials on one side are grabbed, the weight of the other end is increased, the situation that the gravity center above the supporting frame shifts towards the direction of the first weight box or the second weight box to cause rollover is prevented, and when the materials on the two sides are grabbed, weight increasing can be canceled, so that the situation that the gravity center is too high, and the rollover phenomenon is caused is avoided. The stability during use is improved, and safety accidents are avoided.

The utility model relates to the technical field of cranes, in particular to an anti-rollover device for a crane, which comprises a frame, four mounting seats are mounted on the frame, bearing rods are mounted on the mounting seats, hydraulic telescopic rods are mounted at the bottoms of the bearing rods, anchoring devices are arranged on the hydraulic telescopic rods, each anchoring device comprises a mounting ring, and the mounting rings are mounted on the mounting seats. The mounting ring is fixedly mounted on a fixed section of a hydraulic telescopic rod, a telescopic section of the hydraulic telescopic rod is connected with a supporting seat, and four drill rods are rotatably mounted on the inner wall of the supporting seat. Through the arrangement of the anchoring device, the supporting seats can support the frame, the four drill rods are drilled into the ground to anchor the supporting seats, when the frame inclines laterally, the four supporting seats can keep making contact with the ground, the supporting seat on one side applies supporting force to the frame, and the supporting seat on the other side applies pulling force to the frame. And rollover of the frame is avoided.

The invention discloses an anti-rollover control method for a four-wheel steering vehicle based on deep reinforcement learning, and the method achieves the collaborative optimization of a four-wheel steering angle and a braking force through constructing a reinforcement learning frame of hybrid model driving and data driving. A hierarchical network structure is adopted to separate stability decision and execution control, and the generalization ability of the algorithm is improved in combination with virtual-real transfer learning. The anti-rollover control robustness under the complex working condition is remarkably improved, and the method can be applied to an active safety system of an intelligent driving vehicle.

The invention discloses a rollover risk pre-judgment and speed closed-loop control system and method integrating an IMU and an encoder, and relates to the technical field of vehicle active safety control. The system comprises an inertial measurement unit, an encoder, a controller, an execution mechanism and an alarm, the inertial measurement unit provides vehicle attitude data, and the encoder provides vehicle speed information. And the controller fuses the data in real time to calculate a vehicle rollover risk index, and sets a double-threshold criterion: when the risk is close to a threshold, an early warning is given, and when the risk exceeds the threshold, a deceleration control instruction is sent to the execution mechanism. The executing mechanism adjusts vehicle power output or braking accordingly, and automatic speed reduction is achieved. The controller forms a closed-loop control loop through feedback of the encoder, the speed reduction force is dynamically adjusted, and the speed of the vehicle is stably reduced to a safe range. Through the method, the rollover risk of the vehicle can be sensed in advance and actively intervened, rollover accidents are avoided, and the rollover-resistant safety of the vehicle is remarkably improved.

The invention relates to the technical field of foundation pit supporting, and discloses an assembly type foundation pit supporting device which comprises a plurality of supporting mechanisms, every two adjacent supporting mechanisms are assembled and connected through an assembly frame, each supporting mechanism comprises a base, and a U-shaped supporting frame is fixedly connected to the top of each base. And a plurality of fastening rods are fixedly connected to the bottom of the base. According to the assembly type foundation pit supporting device, the slope protection plates are installed in the U-shaped frame in a rotating mode, supporting work of different slope surfaces can be met, supporting work of the vertical inner side face of a foundation pit is also included, the diversity of foundation pit supporting is improved, the anchoring frame is installed on the upper surface of the foundation pit, and the foundation pit supporting efficiency is improved. The unfolded end of the slope protection plate can be reinforced through the steel rope, the slope surface reinforcing stability of the slope protection plate is improved, and the problems that in the prior art, reinforcing is conducted in an inclined strut mode, the reinforcing strength is not high, and rollover is prone to occurring are solved.

The embodiment of the invention provides a processing method and device and a carrying tool, the method can be applied to the field of intelligent vehicles, and the method comprises the steps that the upgrading sequence of multiple components and information of a strong matching relation component set in the OTA upgrading process are acquired, and the multiple components comprise a first component; when upgrading of the first component fails, at least part of the to-be-upgraded components is upgraded according to the upgrading sequence and information of the strong matching relation component set, and / or part of the successfully upgraded components is rolled back, and the upgrading sequence of the to-be-upgraded components is later than the upgrading sequence of the first component; the upgrading sequence of the successfully upgraded components is earlier than the upgrading sequence of the first component. Through the method, the OTA upgrading efficiency can be improved, and unnecessary rollback operation is reduced.

The invention discloses a hazardous chemical substance transportation early warning system based on a fuzzy neural network, and relates to the technical field of traffic transportation and road safety monitoring. According to the hazardous chemical substance transportation early warning system based on the fuzzy neural network, road geometric influence in original data of a sensor is accurately stripped from dynamic response of a vehicle; according to the method, false risk signals caused by road design can be eliminated, the method focuses on instability risks really caused by dynamic factors such as vehicle control and load transfer, and the rollover risk can be judged more essentially and more accurately; converting the preprocessed characteristic quantity into a fuzzy linguistic variable, reasoning by simulating a fuzzy rule of human expert experience, and finally outputting continuous risk indexes and levels; the processing mode not only better conforms to the imprecise characteristic of risk assessment, but also enhances the adaptability and robustness of the system to different vehicle types, loads and road conditions.

The invention relates to a rail-mounted automatic guided vehicle provided with a plate folding and stacking station, which belongs to the technical field of automatic warehouse logistics and comprises two groups of guide rail main bodies, and a storing and taking assembly is arranged on the two groups of guide rail main bodies in a sliding manner. The storing and taking assembly comprises a shuttling goods taking assembly arranged on the two guide rail bodies in a sliding mode, a fork assembly arranged in the shuttling goods taking assembly and used for storing and taking goods or trays, and a tray folding and stacking assembly used for stacking the trays. The bottom of the shuttling goods taking assembly is further provided with a plurality of anti-overturning assemblies. When goods are taken, the telescopic pallet forks can quickly fork and move the goods into a vehicle, the goods putting link works according to the types of the goods, the goods circulation time is shortened, the warehouse operation efficiency is improved, tray stacking and tray disassembling work achieves precise operation through cooperation of multiple components, the tray utilization rate is improved, and the safety is guaranteed to be reliable through the rollover prevention mechanism; when the gravity center shifts, the buffer pad is compressed, and the limiting clamping wheel and the forced limiting hook act together, so that rollover is effectively prevented, and the safety of personnel and equipment is guaranteed.

The invention relates to the field of surveying and mapping unmanned ships, and discloses a combined surveying and mapping unmanned ship which comprises a ship body, a handle is rotatably connected to the outer wall of the ship body, a detection head is fixedly connected to the upper surface of the ship body, a battery box is fixedly connected to the upper surface of the ship body, and a protective net is fixedly connected to the outer wall of the ship body. A first motor is fixedly connected to the interior of the ship body, the output end of the first motor is rotationally connected to the interior of the ship body and fixedly connected with a propelling impeller, a limiting strip is fixedly connected to the outer wall of the output end of the first motor, and a first fixing block is fixedly connected to the outer wall of the ship body. The mounting blocks move to drive the bearing buoys to move so as to adjust the positions of the bearing buoys, weight distribution of the ship body can be optimized, water flow impact and storm interference can be balanced, the inclination or rollover risk of the ship body can be reduced, the ship can flexibly carry different devices according to task types due to the position adjustability, and sailing deviation caused by device weight concentration is avoided; and the multi-scene operation capability is improved.

The utility model discloses an unmanned ship rollover prevention device which comprises two rollover prevention assemblies of the same structure, the two rollover prevention assemblies are symmetrically and fixedly installed on the two side portions of a ship body, each rollover prevention assembly comprises an installation base, an extension module and a driving module, the installation bases are fixedly installed on the side portions of the ship body, and the extension modules are fixedly installed on the side portions of the ship body. A mounting groove is formed in the mounting base, one end of the extension module is fixedly mounted in the mounting base, the extension module is located in the mounting groove, and the driving module is mounted in the ship body and connected with the extension module; according to the anti-rollover device for the unmanned ship, the anti-rollover assemblies are arranged on the two sides of the ship body correspondingly, when the anti-rollover assemblies are unfolded, the buoyancy of the ship body can be effectively enhanced, meanwhile, the base contact area of the ship body and the water surface is enlarged, the overall supporting area of the ship body is enlarged, and the wind wave resistance is improved; the situation that the ship body rolls over due to overlarge storm waves is effectively reduced, then the safety of the ship body is effectively guaranteed, and the possibility that the ship body is damaged is reduced.