1119results about "Static/dynamic balance measurement" patented technology

The invention discloses a quadruped inspection robot space positioning method and system based on gravity center sensing, and aims to construct a gravity center potential energy field through foot end contact force and body attitude information, form a gravity center disturbance mode in combination with fluctuation spectrum analysis, and reveal a disturbance propagation mechanism. A reverse compensation technology is adopted to generate an anti-disturbance sequence, a foot end force distribution topology is reconstructed, and active disturbance suppression is achieved; a multi-frequency detection wave beam and coherent superposition technology is introduced, an environment hologram is generated, geometric topology is reconstructed, and a high-precision environment sensing system is established; high and low impedance regions are identified through energy density analysis, and an energy optimal path is constructed in combination with double strategies of potential field bypassing and streamline tracking; establishing an oscillation analysis space for path projection simulation, identifying resonance risk points and determining stabilization parameters; finally, a coordinate reference is generated by adopting a quantum entanglement type multi-anchor-point synchronization mechanism, accurate positioning is realized by fusing environmental geometric information, and a technical closed loop from gravity center dynamics analysis to environmental perception navigation is realized.

The invention discloses a tunnel monitoring method and system based on a vibrating wire sensor, and relates to the technical field of tunnel engineering construction safety monitoring, and the method comprises the steps: collecting the vibration frequency data and spatial position coordinates of the vibrating wire sensor in a monitoring region; the method comprises the following steps: calculating a time difference and an energy attenuation ratio between adjacent sensors by extracting spectrum energy density distribution, and constructing a stress wave propagation field; dividing grids in the propagation field to calculate node stress values, generating a stress field distribution cloud picture and extracting a stress concentration area; calculating a gravity center position coordinate change rate and a stress time sequence curve of the stress concentration area, and determining fracture extension parameters; and calculating a surrounding rock bearing capacity attenuation curve based on the parameters, and outputting an early warning signal when the slope exceeds a threshold value. According to the invention, real-time monitoring and early warning of the tunnel surrounding rock instability risk are realized.

According to the mass center self-balancing chassis system for U-rib weld defect detection and the control method, the problem that when detection equipment moves on a U-rib curved surface, the precision is reduced due to mass center deviation and view field inclination can be solved. The system integrates a Mecanum wheel omni-directional moving unit, four groups of electric telescopic supporting legs, a two-axis holder and an ECU (electronic control unit), and has the innovation point that dynamic mass center balance and posture self-correction are realized through rigid-flexible combined supporting leg design and multi-modal sensing fusion. The ECU adopts an improved Canny algorithm to process the image, extracts a U rib edge point set and fits a reference center; in combination with pressure and tilt angle sensor data, a real-time mass center is solved through a moment balance formula, and then an improved self-adaptive PID algorithm is used for driving the supporting legs to stretch out and draw back, so that the mass center returns to a reference center; the two-axis holder compensates the view field angle according to the inclination angle data to ensure that the view field angle is perpendicular to the weld joint. Through cooperation of a mechanical structure and an algorithm, the system can control centroid offset to be smaller than or equal to 5 mm and view field inclination to be smaller than or equal to 1 degree, the detection stability and precision are remarkably improved, and the algorithm is easy to deploy.

The invention provides a wind turbine generator blade pneumatic unbalance monitoring method and system based on a torque coefficient, and belongs to the technical field of data processing. Real-time operation data of a wind turbine generator under various operation conditions are collected, time sequence correlation processing is carried out on the real-time operation data, and the wind turbine generator blade pneumatic unbalance monitoring method and system based on the torque coefficient are obtained. A torque coefficient time sequence containing continuous timestamp marks and corresponding wind speed fluctuation characteristics are generated, pneumatic deviation analysis is constructed, a theoretical expected value and an actual measurement value of a torque coefficient are dynamically compared, and an initial imbalance index is generated; calling a pre-trained error compensation network to carry out environmental interference factor elimination processing on the initial imbalance index, and outputting a corrected imbalance index after environmental interference elimination; and then, constructing a blade pneumatic state evaluation model based on the result, and generating a blade pneumatic unbalance monitoring result containing an unbalance level and an early warning suggestion. According to the invention, the accuracy of the monitoring result can be improved.

The invention discloses a motor fault diagnosis method and system based on color image fusion symmetric point mode, and the method comprises the steps: converting a vibration signal and an electromagnetic signal of a motor into symmetric point mode images, and generating a color signal image fusing feature information; respectively abstracting the color signal images fused with the feature information into nodes and edges in a high-dimensional semantic space so as to construct graph structure data; and performing diagnosis classification on the graph structure data of the vibration signals and the electromagnetic signals by using respective capsule graph network models, and fusing diagnosis classification results of the vibration signals and the electromagnetic signals through a voting mechanism to obtain a final diagnosis classification result. According to the method, multi-channel time domain signals are converted into image expressions with dense information and consistent geometry, and unified feature modeling is carried out on the images based on a depth map structure network with topology perception capability, so that motor fault diagnosis with high diagnosis precision and strong robustness is realized.

The invention provides a wind turbine generator blade pneumatic unbalance monitoring method and system based on deep learning, and belongs to the field of deep learning. Airflow motion state data generated by a distributed sensing array in the operation process of a wind turbine generator blade are collected; performing aerodynamic feature extraction and unbalance degree quantization processing on the airflow motion state data to obtain a blade aerodynamic feature vector set; correlation learning is carried out on the blade aerodynamic feature vector set and a preset blade historical aerodynamic performance evolution trajectory, and an aerodynamic imbalance development prediction vector is generated; based on the pneumatic unbalance development prediction vector, performing unbalance trend dynamic analysis to obtain a key influence factor and an influence degree sequence of pneumatic unbalance of the blade; and outputting an evaluation result of the pneumatic imbalance of the blade and a corresponding predictive maintenance strategy according to the key influence factor and the influence degree sequence. The adaptability of the maintenance strategy and the pneumatic unbalance state of the blade can be improved, and monitoring and predictive maintenance of the pneumatic unbalance of the blade of the wind turbine generator system are supported.

The invention discloses a land-based virtual-real symbiosis experiment system for traveling cable swing, which comprises a land-based cable experiment table carrying a driving and loading module, and a mapping module for collecting real parameters of a traveling cable based on the driving and loading module to establish a mechanical model, the driving and loading module comprises driving equipment arranged on the land-based cable experiment table, the mapping module defines boundary conditions of the mapping module in a fixing mode of the land-based cable experiment table, and the boundary conditions serve as constraints of a dynamic model in the mapping module. By establishing real-time data transmission between the physical experiment table and the digital twin model, the problem of mapping lag is solved on the basis of real parameters collected by the driving and loading module, a simulation result can be fed back to the physical experiment table, parameter adjustment is guided, a digital research platform is provided for trailing cable reliability research in a land-based environment, and the reliability of a trailing cable is improved. And an effective guarantee is provided for ensuring absolute safety of cable running.

The invention provides a loading safety monitoring method and system for a rear-loading vehicle and the vehicle. The method comprises the following steps that the arc height variable quantity of a plate spring of the vehicle in the current loading state is collected; based on the arc height variable quantity, a vehicle total weight estimated value is obtained through calculation; based on the axle load estimation values of the front axle and the rear axle and the axle distance of the vehicle, estimating the current gravity center height of the vehicle, and dynamically compensating the gravity center height according to the dynamic state parameters; and calculating a stability risk coefficient of the vehicle according to the total weight estimated value of the vehicle and the compensated gravity center height so as to carry out early warning. Displacement sensors are arranged on a front plate spring and a rear plate spring of a vehicle to collect arc height variation in real time, an axle load and a vehicle total weight estimated value are calculated based on a pre-calibrated plate spring rigidity coefficient, the gravity center height of the vehicle is estimated to evaluate the stability of the vehicle, and meanwhile the gravity center height is dynamically compensated based on dynamic parameters in the driving process. The evaluation precision under complex working conditions is improved, and the transportation safety is guaranteed.

The invention relates to the technical field of ship underwater positioning, in particular to a dynamic space positioning method and system for a sensor chain body of a ship drag chain, and the method comprises the steps: dispersing the drag chain into a plurality of hinged rigid sections in a two-dimensional inertial reference system, connecting the sensor chain body to the tail end, and taking the motion of a ship as a traction point boundary; according to the given traction speed, the initial pitch angle, depth and tension distribution are obtained through static balance; calculating local speeds in the sections according to translation and rotation states of upstream nodes of all the sections, obtaining distributed hydrodynamic loads in combination with fluid parameters, establishing moment balance equations at all the upstream nodes, and forming a second-order ordinary differential equation set with a pitch angle as an unknown quantity; and numerical solution is carried out under a unified time step length, and the mass center positions of each node and a sensor chain body are obtained according to geometric recursion, so that dynamic positioning in an inertial reference system is realized. According to the invention, the precision and reliability of underwater target motion analysis and target tracking can be improved.

A powered balancing mobility device that can provide the user the ability to safely navigate expected environments of daily living including the ability to maneuver in confined spaces and to climb curbs, stairs, and other obstacles, and to travel safely and comfortably in vehicles. The mobility device can provide elevated, balanced travel.

The invention provides an underwater manipulator motion balance real-time monitoring method based on acoustic sensing, which comprises the following steps: if a frequency shift range exceeds a preset range threshold, filtering a signal data set, and separating superposed components of a friction sound signal and a water flow interference sound to obtain a preliminarily separated friction sound signal; performing short-time Fourier transform processing on the preliminarily separated friction sound signals, extracting time-frequency features of the friction sound signals, and obtaining a friction sound feature set; calculating the signal energy ratio of the friction sound signal to the water flow interference sound by analyzing the frequency spectrum difference between the friction sound feature set and the water flow interference sound, screening the interference sound according to the signal energy ratio, and rejecting the screened interference sound to obtain a separation signal; and when it is recognized that the manipulator executes the complex track task, track complexity is recognized, the position of the acoustic sensor array is dynamically adjusted according to the track complexity, the dynamic layout of the acoustic sensor array is optimized, and array configuration is obtained.

The invention provides a dynamic balance detection machine for flywheel production, and belongs to the technical field of flywheel balance detection. Comprising a balancing machine body, a data displayer and a drilling machine are fixedly connected to the two sides of the top of the balancing machine body respectively, a driving device is arranged in the balancing machine body, the balancing machine is characterized in that the output end of the driving device is fixedly connected with a rotating disc, and the top of the rotating disc is fixedly connected with a clamp chassis; and the transfer structure is located at the top of the clamp chassis, the transfer structure is connected with the clamp chassis, and the transfer structure and an output shaft of the driving device are located on the same straight line. By arranging the supporting extrusion structure, manual pressure of the flywheel and a worker is used as a power source, and the manual pressure is converted into clamping force in the horizontal direction through the supporting extrusion structure, so that the inner wall of the flywheel is extruded and fixed, and the mechanical principle is met; and for a non-automatic balancing machine, the fixing time and the dismounting time of the flywheel can be greatly shortened.

The invention relates to a motor rotor dynamic balance test adjusting device, and relates to the technical field of motor rotors, the motor rotor dynamic balance test adjusting device comprises an operation table, and the upper surface of the operation table is provided with a dynamic balance test assembly, a moving assembly, a turn-milling assembly and a clamping assembly. By designing the moving assembly, the turn-milling assembly and the clamping assembly and adopting a separated layout, the operation space is expanded, metal scraps can be prevented from splashing and accumulating in a narrow space in the turn-milling process to influence equipment operation, the detection precision is improved, brush rollers on the two sides of a linkage cutting opening rotate in the turn-milling process, and the detection precision is improved. According to the technical scheme, scraps are continuously prevented from splashing, the side face of the rotor is cleaned, meanwhile, the rotor can be rotated according to the position of an unbalance point, the turning and milling pressing assembly is matched to achieve turning and milling of any part of the outer side face of the rotor, the coverage area of the turning and milling unbalance point is greatly enlarged, the recheck qualification rate is increased, the recheck frequency is reduced, and then the dynamic balance testing efficiency is improved.

The invention provides a sensor system of a logistics robot and a data processing method of the sensor system. The method belongs to the cross technical field of intelligent logistics, robot sensing and artificial intelligence signal processing. The method comprises the steps that multi-source data of the logistics robot in the moving process are collected in real time through a multi-source sensor, and a multi-source sensor original data set is generated; performing data fusion preprocessing on the original data set of the multi-source sensor to generate a fused synchronous data stream; based on the synchronous data flow, through a gravity center inversion algorithm, in combination with the cargo three-dimensional model and the pressure distribution characteristics, performing inversion to obtain cargo dynamic gravity center position data, synchronously recording corresponding timestamp information, and generating cargo dynamic gravity center position-time sequence data; through fusion of multi-source sensor data, the dynamic center-of-gravity position of the cargo can be accurately inverted in real time, and the sensing ability of the robot to the center-of-gravity change is greatly improved.

The invention relates to the technical field of intelligent power distribution control, in particular to a safety control system for a power distribution control box, which comprises a data acquisition module, an abnormity preliminary screening module, a scheduling judgment module, a load state detection module and a load distribution optimization module. According to the invention, operation parameters such as internal temperature, voltage difference and load current of the power distribution control box are collected in real time, abnormal time tolerance matching is carried out in combination with planned power failure and power transmission scheduling information, and the system can effectively identify temperature abnormity and distinguish scheduling fluctuation and potential faults in a plan; a partition response mechanism is established based on load deviation measurement, corresponding control strategies are implemented for different abnormal intervals, meanwhile, the priority of the distribution box with the abnormal load is dynamically reconstructed, the scheduling sequence is optimized, and the adjustment process is automatically terminated, so that the stability and the safety of the power distribution system in a complex load fluctuation environment are enhanced; operation and maintenance resource configuration is obviously optimized, and the method is suitable for risk early warning and control optimization of a large-scale intelligent power distribution scene.

The invention provides an intelligent monitoring method and system for a swivel structure in bridge construction, belongs to the technical field of bridge swivel construction, and is used for solving the problems that the weighing process is tedious, the balance weight adjustment precision is low, and dynamic gravity center drift in the swivel process cannot be handled in the related technology. The method comprises the following steps: acquiring real-time pulse signal flow through a sensing execution unit deployed on a swivel structure, mapping the real-time pulse signal flow to a causal hidden space by using a unified causal generation flow model to obtain an endogenous state, and performing joint Bayesian estimation on the endogenous state to identify eccentricity and structural identity on line; and an endogenous state is driven to evolve to an equilibrium state according to evolution dynamics embedded in the model, a high-precision control instruction is inverted through reversibility of the model, and the balance weight is automatically adjusted. According to the system, full-automatic closed-loop control of dynamic stability and balance in the process from weighing before rotation to rotation is achieved, and the construction safety, the adjusting precision and the intelligent level are remarkably improved.

The invention relates to the technical field of washing machine inner barrel testing, and discloses a washing machine inner barrel dynamic balance rapid testing tool which comprises a base and a roller. One end of a hydraulic cylinder is fixedly connected with a first rack, one side of the first rack is in meshed connection with a connecting gear, and one side of the connecting gear is fixedly connected with a threaded rod; the outer portion of the threaded rod is in threaded connection with a connecting base, the inner side of the connecting base is fixedly connected with a detection ring, the inner side of the detection ring is fixedly connected with two pressure sensing detection assemblies, a second motor is started, a first gear drives a second gear to rotate, the second gear drives a roller to rotate through a rotating shaft, a prism block and a connecting shaft, and then a hydraulic cylinder is started; the hydraulic cylinder drives the first rack to move back and forth, the first rack moves to drive the connecting gear and the threaded rod to rotate, the threaded rod drives the connecting seat to move, and the detection ring drives the pressure sensing detection assembly to move, so that the dynamic balance of the roller can be rapidly tested.

The invention discloses a low-noise motor rotor dynamic balance detection device, and particularly relates to the technical field of automobile part detection, the low-noise motor rotor dynamic balance detection device comprises a detection table and supporting plates arranged at the upper end of the detection table in a bilateral symmetry manner, and the inner surfaces of the two supporting plates are jointly provided with rotor fixing structures distributed in a bilateral symmetry manner; driving structures used for driving a motor rotor to rotate are arranged at the upper end of the detection table in a bilateral symmetry mode, and an eccentricity detection structure used for detecting the rotation eccentricity and the vibration frequency of the rotor is arranged in the middle of the upper end of the detection table. Rotor noise is effectively isolated through the shielding cover to ensure detection accuracy, automatic centering and stable clamping of the rotor are achieved through cooperation of the clamping assembly and the driving assembly of the rotor fixing structure, and accurate positioning and low-friction driving of the rotor are completed through cooperation of the positioning assembly and the locking assembly of the driving structure. Vibration and eccentricity data are acquired in a multi-dimensional manner by combining a contact wheel of an eccentricity detection structure and a sensor array, and high-precision comprehensive detection of dynamic balance of the rotor is finally realized.

The utility model discloses a workpiece gravity center detection device, which comprises a detection table, and a universal ball hinge support II is arranged below the detection table. The leveling adjusting frames are mounted on the bottom surface of the detection table in a central symmetry manner; oil rods of the oil cylinders are correspondingly installed on the three second universal ball hinge supports respectively, and the oil cylinders are communicated with one another through oil pipes; a universal ball hinge support I is arranged on the base, and the bottom of the oil cylinder is mounted on the universal ball hinge support I; and the laser is mounted at the center position of the bottom surface of the detection table and is used for vertically projecting a datum line. According to the workpiece gravity center detection device provided by the embodiment of the utility model, the gravity center of a processed workpiece can be rapidly detected through the synergistic effect of hydraulic self-balancing of the oil cylinder and counterweight fine adjustment of the lead screw.

The invention relates to the technical field of dynamic balance detection, in particular to stator and rotor dynamic balance full-automatic detection equipment, which comprises a workbench, a detection display device and a detection device, and is characterized in that the detection device used for detecting the unbalance amount of a stator and the unbalance amount position is arranged on the workbench; an automatic weight removing device; the detection device comprises a detection device and a carrying device, the belt driving assembly is used for driving a to-be-detected workpiece to rotate, is arranged on the middle sliding table and is arranged on the left side of the lifting bearing assembly; the supporting assemblies are oppositely arranged on the two sides of the belt driving assembly, and at least one supporting assembly can transversely move in a reciprocating mode; the lifting bearing assembly is used for bearing a to-be-detected workpiece and is arranged on one side of the belt driving assembly; by means of the structural arrangement, the reliability and precision of dynamic balance detection and the automation degree are systematically improved.

The invention relates to the technical field of vacuum equipment, and particularly discloses a molecular pump main shaft dynamic balance detection device, which comprises a base provided with a plurality of spaced mounting holes; the positioning support is connected to the base, a magnetic bearing support is arranged on the positioning support, and a magnetic bearing inner ring is arranged on the magnetic bearing support in a sleeving mode so that a magnetic bearing outer ring on the molecular pump main shaft can be arranged on the magnetic bearing inner ring in a sleeving mode; the position adjusting bracket is connected to the base in a lockable manner; the lower bearing support is detachably connected to the position adjusting bracket; the upper bearing support is arranged above the lower bearing support, and the upper bearing support forms a structure matched with the lower bearing support and is detachably connected to the lower bearing support; the lower bearing support and the upper bearing support are both provided with arc-shaped grooves, and the arc-shaped grooves of the lower bearing support and the upper bearing support jointly form an annular groove. The two ends of the molecular pump main shaft are restrained by the magnetic bearing inner ring and the annular groove respectively. Therefore, the problems of complicated operation and inaccurate detection result of a molecular pump detection device in the prior art are solved.

The utility model discloses a torsional pendulum type rotational inertia experimental instrument for determining a mass center shaft through multi-point weighing, which comprises a rotating shaft bracket, a central rotating shaft is rotationally arranged on the rotating shaft bracket, a volute spiral spring is arranged on the central rotating shaft, the inner end of the volute spiral spring is fixed on the central rotating shaft, and the outer end of the volute spiral spring is fixed on the rotating shaft bracket. A dial coaxial with the central rotating shaft is fixed on the rotating shaft support, a pointer extending outwards in the radial direction is arranged on the central rotating shaft, and the pointer is used in cooperation with the dial. A first tray is fixed at the top of the central rotating shaft, a plurality of pressure sensors are uniformly distributed at the top of the first tray along the circumferential direction, a second tray for placing an object to be measured is fixed at the tops of the plurality of pressure sensors, and the first tray and the second tray are coaxially arranged with the central rotating shaft. Compared with the prior art, the mass distribution of the object to be measured is measured by adopting the plurality of pressure sensors, and the position of the mass center shaft of the object to be measured can be accurately determined, so that the accurate measurement of the rotational inertia of the object in a complex shape is realized.

An estimating device including: a detecting section detecting electrical characteristics at a flexible material that is electrically conductive and has electrical characteristics that vary in accordance with a magnitude of an applied stimulus and that is at an assisting member that has the flexible material and is provided at a transporting section that transports a transported object; and an estimating section that inputs time-series electrical characteristics to a learning model that is trained by using, as learning data, time-series electrical characteristics at times when a stimulus was applied to the flexible material, and placed state information expressing a placed state of the transported object with respect to the assisting member that applies a stimulus to the flexible material, such that the time-series electrical characteristics are inputs of the learning model and the learning model outputs the placed state information expressing a placed state corresponding to inputted time-series electrical characteristics.

The invention relates to the technical field of aero-engine vibration control, and discloses an on-line automatic balance system for a turboprop engine propeller rotor, which comprises a signal acquisition and analysis module, an automatic balance state monitoring and control module and an automatic balance actuator, the signal acquisition and analysis module is used for monitoring and acquiring an original vibration signal of the rotor system in real time to obtain vibration monitoring information, and transmitting the vibration monitoring information to the automatic balance state monitoring and control module; the automatic balance state monitoring and control module is used for receiving the vibration monitoring information and outputting a driving control instruction to the automatic balance actuator according to the vibration monitoring information; the driving control instruction comprises the moving direction and the stepping amount of the balancing weight; the automatic balance actuator comprises two balance weight discs, and the balance weight discs are used for moving according to the driving control instruction so as to carry out vibration suppression. According to the invention, the supporting stability and the assembling economy are improved.

The invention discloses an aero-engine vibration signal generation method under extreme imbalance, and belongs to the technical field of aero-engine fault signal generation. The method comprises the following steps: acquiring an original vibration signal at a target position of the aero-engine, and performing preprocessing operation; taking the preprocessed real vibration signal as a training sample, constructing a forward noise adding process, and training the improved one-dimensional diffusion generation network to learn a reverse denoising mapping relation; and inputting random Gaussian noise into the one-dimensional diffusion generation network after training convergence, and generating a target vibration signal matched with a real vibration signal feature through a reverse diffusion denoising process. Through targeted improvement of the diffusion generation network, the problem of data imbalance is effectively relieved, the model deployment cost is reduced, the signal generation capability of the model for minority types of faults is improved, and the method is suitable for fault signal generation scenes of aero-engines under complex working conditions.

The invention discloses an unbalanced point position angle detection device for a spindle of a magnetic suspension molecular pump, and mainly relates to the technical field of dynamic balance detection. Comprising a laser sensor, a plurality of first grooves are formed in one side of a shaft peak, fixed magnets are arranged in the first grooves, movable magnets attracted with the fixed magnets are further included, a movable seat and a sliding plate are symmetrically arranged on the two sides of a base in a sliding mode, and a first arc face making contact with the side face of a main shaft is arranged on the movable seat. The sliding plate is provided with a first vibration sensor making contact with the movable base, the first vibration sensor is electrically connected with the laser sensor, and the device further comprises a driving motor driving the main shaft to rotate on the movable base. The beneficial effects of the invention are that the laser sensor is matched with the vibration sensor to measure the relative angle of the unbalanced point, the problem that the searching of the dynamic balance point of the main shaft is not visual enough is solved, the frequency of searching and adjusting the unbalanced point is reduced, and the efficiency of detecting the dynamic balance of the main shaft of the magnetic suspension molecular pump is improved.

An omni-directional attitude gravity center self-adaptive regulation and control test platform for a hilly and mountainous region agricultural machine chassis comprises a simulation vehicle body box groove, a control box, a gravity center determining device, a gravity center adjusting device, a transverse inclination angle simulation device and a longitudinal inclination angle simulation device. The simulated vehicle body tank is provided with a double-shaft tilt angle sensor, and the simulated vehicle body tank is arranged on the gravity center determining device; the gravity center determining device is provided with a spoke type pressure sensor and a supporting frame. The gravity center determining device is connected with the gravity center adjusting device; the gravity center adjusting device is provided with a transverse sliding table module, a longitudinal sliding table module, a transverse ultrasonic ranging module and a longitudinal ultrasonic ranging module. The gravity center adjusting device is connected with the transverse inclination angle simulation device; the transverse inclination simulation device and the longitudinal inclination simulation device are respectively provided with a transverse electric push rod and a longitudinal electric push rod. The utility model provides necessary theoretical support for the stability and the climbing ability of the mountain agricultural machinery, and has the advantages of being simulatable in omnidirectional inclination angle, determinable in gravity center position, measurable in gravity center adjustment amount, good in working stability and the like.

The utility model relates to the field of motor component detection, and discloses a low-vibration motor rotor dynamic balance detection mechanism which comprises a base, a transmission mechanism is arranged on the base, and a pressure adjusting mechanism is arranged on the transmission mechanism. The pressure adjusting mechanism comprises a mounting plate, a moving frame, an electric push rod, a connecting plate, a moving block, a roller, a pressure sensor and a plurality of limiting rods, the moving frame is fixedly mounted at the bottom end of the mounting plate, and the electric push rod is fixedly mounted on the mounting plate and extends into the moving frame; according to the utility model, the pressure adjusting mechanism is arranged, the mounting plate is mounted on the second connecting rod, and the electric push rod and the moving frame are mounted on the mounting plate, so that when the transmission belt presses the outer wall of the rotor, the moving block retracts under pressure, one end of the pressure sensor presses the connecting plate, and detection is carried out through the pressure sensor; the pressure borne by the inner ring of the transmission belt can be detected, the contact force between the transmission belt and the rotor can be adjusted more visually, and proofreading is more convenient.

Detection of trailer dynamic parameters is provided. A vehicle can receive a geometry of a plurality of points of support disposed along a longitudinal axis of the trailer. The vehicle can determine a center of mass of the trailer based on the plurality of points of support and weights bearing down thereupon. The vehicle can bound or otherwise determine, based on the geometry of the plurality of points of support and the center of mass, a moment of inertia of the trailer about at least one of the plurality of points of support. The vehicle can perform a navigational action based on the moment of inertia or center of mass.

The invention discloses a fan blade clearance distance monitoring method, device and equipment and a medium, and belongs to the technical field of fan monitoring, and the method comprises the steps: installing the monitoring equipment at a preset position of a fan tower drum, and obtaining a fan blade motion image; processing the fan blade motion image by adopting a deep learning network, and identifying position coordinates of a blade tip in the fan blade motion image; in combination with the inclinometer angle and Beidou satellite positioning data, converting the blade tip position coordinates into actual space coordinates according to pre-calibrated parameters; calculating the clearance distance from each blade tip to the fan tower; and filtering the clearance distances of the blades, calculating difference values of the clearance distances of the blades, and taking the maximum value in the difference values as the unbalance degree of the impeller. Through the dynamic compensation technology of multi-sensor fusion, the problem that the clearance distance measurement precision is affected by relative shaking of the blades and the tower drum is solved.