259 results about "Tilt sensor" patented technology

The invention provides a reservoir bank slope deformation body instability volume prediction method, which comprises the following steps: respectively acquiring earth surface displacement and rock mass internal deformation data through a millimeter wave radar and a tilt angle sensor, and after processing through an adaptive noise decomposition algorithm, identifying a key deformation area and generating a data set. And performing space-time alignment on the data by using the engineering coordinate system and the topological relation to generate a fusion matrix. And reconstructing a potential slip crack surface geometric model in combination with slip crack surface features of historical cases, and calculating instability volume probability distribution by adopting Monte Carlo simulation. And finally, inputting the multi-dimensional data into the space-time prediction model, and outputting an instability volume prediction result with probability distribution. According to the invention, the accuracy and reliability of the prediction result can be improved, and scientific basis and technical support are provided for safety monitoring and disaster early warning of the reservoir bank slope.

The invention relates to the technical field of mechanical safety monitoring, and discloses a remote monitoring system for instability of a steel structure of hoisting machinery, which comprises the following modules: an inclination monitoring module for collecting inclination angle data of a crane in real time and carrying out signal preprocessing, and a control module for receiving the data and carrying out comparative analysis on the received data and a preset threshold value. And according to an analysis result, a control instruction is sent to the execution module and data is output to the remote transmission module. The execution module, the remote transmission module, the environment compensation module and the data management module are arranged. According to the invention, through multi-module cooperation and algorithm innovation, high-precision monitoring and active prevention and control are realized. A double-axis / three-axis tilt angle sensor is combined with Kalman filtering, the precision reaches + / -0.1 degree, and the reliability is improved through the redundant design of key part equipment. The control module realizes multi-stage alarm through fuzzy PID and a finite-state machine, a Transformer model predicts risks in advance by 10-30 seconds, environment compensation is realized, hybrid networking enhances adaptability, 5G + VR monitoring improves operation and maintenance efficiency, 60% of tipping accidents can be reduced, and multi-scene safety requirements are met.

The invention discloses an intelligent and safe hoisting monitoring method for a large-tonnage I-beam, relates to the field of construction safety, is based on a monitoring system consisting of a sensing layer, a transmission layer, a data layer, a decision layer and an execution layer, and comprises the following steps: deploying the sensing layer, constructing the transmission layer, configuring the data layer, constructing the decision layer and responding to the execution layer. Structural stress is monitored through a high-precision strain gauge and a distributed optical fiber sensor, the posture is monitored through an MEMS tilt angle sensor and a six-axis gyroscope, the state of the lifting appliance is monitored through a tension sensor and a visual recognition sensor, the environment is monitored through an ultrasonic anemograph and a laser radar, and multi-dimensional data collection is conducted through a displacement sensor monitoring device. Full-scene monitoring of the state of the I-shaped beam, the performance of a lifting appliance, the working environment and crane equipment is achieved, potential risks are captured without dead corners, the accuracy and reliability of data under complex working conditions are ensured, the problems that traditional monitoring data are prone to being interfered by the environment and insufficient in precision are solved, and the safety coefficient is increased.

The invention relates to the technical field of agricultural environment intelligent monitoring, and discloses a cultivated land crop adaptability evaluation and planting suggestion system, which comprises a plurality of distributed microenvironment decision-making units, each unit acquires soil humidity and illumination data in real time through an environment sensor, and slope information acquired by a tilt angle sensor is combined to determine the adaptability of cultivated land crops. The local processor calculates entropy values representing crop stress risks based on a dynamic weight adjustment algorithm, and entropy value interaction and collaborative decision-making among units are realized through a low-power-consumption communication network. Therefore, the system can autonomously identify the local hydrological stress risk, forms a cooperative response network based on the physical law between units, and achieves the precise perception and intelligent decision-making of a complex farmland environment.

The invention belongs to the field of intelligent monitoring, and discloses a photovoltaic flexible support load deformation monitoring system and method, and the system and method achieve the safe and precise management and control of a structure through the deep fusion of multi-source sensing, mechanism modeling and data driving. Structural deformation parameters are synchronously obtained by combining a laser displacement sensor and a double-axis tilt angle sensor, and the limitation that a traditional monitoring means is single in parameter and lack of dimensionality is broken through. After data is gathered in real time through a wireless transmission module, a physical constraint-data learning hybrid framework is adopted for processing, a physical model constructs a deformation calculation equation based on a moment balance and deflection theory, a theoretical lower limit conforming to an engineering mechanics law is provided, and an LSTM neural network captures nonlinear dynamic association such as wind load sudden change through time sequence learning. A prediction result with both theoretical compliance and data adaptability is generated, and the operation reliability and maintenance efficiency of the photovoltaic flexible support in a complex environment are improved while high real-time performance is maintained.

The invention discloses a large-span steel structure corridor overall lifting rapid installation system and technology. The installation system comprises an inclination angle monitoring module, a steel truss end displacement detection module, a data monitoring module, a detection early warning module and an early warning removing module. According to the inclination angle monitoring module, a high-precision inclination angle sensor is pasted to the middle position of a truss, the inclination angle theta of the steel truss is monitored in real time through the high-precision inclination angle sensor, the sensor is connected with a PC terminal, and inclination angle data are received in real time. Therefore, the construction progress is accelerated, and the construction cost is reduced; the synchronism of the large-span steel truss in the whole lifting process can be accurately monitored; the working procedures of pausing lifting and measuring every time lifting is conducted by a certain distance in the traditional construction process are omitted, continuous lifting is achieved, and the construction quality and efficiency are improved.

The utility model provides a composite side slope monitoring device. The composite side slope monitoring device comprises a monitoring box body and a remote monitoring terminal, the monitoring box body can be buried in soil of a slope in a pick-and-place manner, and a sensor, a signal processing unit and a power supply unit are arranged in the monitoring box body; the sensor comprises a water content sensor for monitoring the water pressure change in soil, a soil pressure sensor for monitoring the pressure change of the soil, and a displacement and inclination sensor for monitoring and recording the displacement and inclination angle of the slope structure; the signal processing unit converts analog signals of the sensors into digital signals and transmits the digital signals outwards. The power supply unit is electrically connected with the sensors and the signal processing unit; the remote monitoring terminal is in signal connection with the remote transmitter and receives monitoring signals of the remote transmitter. The provided composite slope monitoring device can solve the problems that in a traditional soil slope monitoring scheme, arrangement of sensors is complex, and data collection is difficult, and the accuracy and real-time performance of geological disaster early warning are effectively improved.

A line and level determination system for a trenchless construction apparatus has a block assembly which is attached by welding to a lead casing to be installed with the trenchless construction apparatus. The block assembly has a water inlet, a water outlet, a tilt sensor and a light emitting device disposed within the water outlet. A water hose has a first end attached to the water inlet and a second end attached to a water source. The line and level determination system has a controller connected to the tilt sensor and the light emitting device. The controller selectively energizes the tilt sensor and the light emitting device. Data from the tilt sensor is displayed on a screen of the controller. A surveying instrument, such as a theodolite, may be utilized to determine line from the illumination of the light emitting device into the casing.

The invention discloses a method for positioning the position of an offshore structure based on an unmanned aerial vehicle loading monitoring system, the unmanned aerial vehicle loading monitoring system adopts a rigid platform suspended by an unmanned aerial vehicle cluster, and the rigid platform is provided with a full-automatic tracking total station, a GPS, a double-shaft tilt angle sensor and an ultrasonic distance measuring sensor. After the unmanned aerial vehicle cluster suspends the rigid platform to the inclined sky of the offshore structure, hovering is carried out; the flight height of the unmanned aerial vehicle cluster is adjusted through data of an ultrasonic distance measuring sensor, inclination angle data is measured through a double-shaft inclination angle sensor, and the levelness of the rigid platform is further calibrated; the full-automatic tracking total station is used for measuring the horizontal angle, the vertical angle and the slant distance of the offshore structure and uploading the horizontal angle, the vertical angle and the slant distance to the upper computer, the upper computer calculates the three-dimensional coordinates of the full-automatic tracking total station according to coordinate data of the GPS, and then the three-dimensional coordinates of the center point of the offshore structure are calculated. According to the invention, positioning of the offshore structure can be realized, monitoring dead angles are avoided, and personnel risk is reduced.

A driver monitoring camera comprises an optical sensor configured to take an image of a driver of a vehicle, an inclination sensor configured to determine an inclination of the driver monitoring camera with respect to a vehicle coordinate system and a processor configured to determine a pose of the driver in a driver monitoring camera coordinate system from the image and configured to transform the pose of the driver in the driver monitoring camera coordinate system to a pose of the driver in the vehicle coordinate system using the determined inclination.

The invention relates to the technical field of flow field measurement, in particular to an ocean flow field measurement method and device, and provides the following scheme: the method comprises the following steps: collecting ocean environment parameters through a vertical sensor, determining an overlook angle of an inclination sensor based on an optimization algorithm, and generating a virtual Doppler measurement array through micro-amplitude scanning; inputting to a chaotic oscillator network to identify a Lyapunov exponent maximum direction, and determining a horizontal included angle of a second inclination sensor; furthermore, a frequency shift signal is collected, and the flow velocity and the flow direction are calculated by combining adjusting parameters, so that high-precision and high-adaptability flow field measurement is realized; the method has a dynamic response capability, and is suitable for direction structure identification and real-time flow direction calculation under complex sea conditions.

The invention discloses an urban and rural pavement maintenance monitoring system based on intelligent well lid data linkage, and the system comprises a data collection module which detects the acceleration data, angular motion data and inclination angle change data of a well lid in real time through a three-axis acceleration sensor, a gyroscope and an inclination angle sensor which are disposed on the well lid; the edge calculation module is used for calculating a vibration value of the well lid according to the acceleration data, the angular motion data and the inclination angle change data of the well lid and correcting the vibration value; the cloud data center obtains a risk index of a road surface where the well lid is located through a pre-constructed association model according to the corrected vibration value and the position of the well lid corresponding to the vibration value; and the maintenance decision terminal module performs maintenance decision on the road surface where the well lid is located according to the risk index of the road surface where the well lid is located. According to the invention, the well lid on the road surface is taken as the basis of data acquisition, and the maintenance condition of urban and rural road surfaces is detected in real time by acquiring the data on the well lid, so that the maintenance condition can be accurately obtained in real time.

This invention discloses a testing device for the operating performance of a lever mechanism simulating load, belonging to the field of high-end equipment performance testing. The core innovation of the device lies in the sequential connection of the lever, crank, connecting rod, slider, and frame assembly to form a crank-connecting rod-slider core transmission and load simulation mechanism. This mechanism integrates adjustable load simulation and integrated synchronous measurement functions. By configuring counterweights, replacing elastic elements, and adjusting connection angles and lever arms, it can accurately simulate nonlinear, multi-dimensional coupled actual operating loads. Simultaneously, a sensor network composed of force sensors, tilt sensors, and acceleration sensors respectively set at key nodes such as the lever and crank synchronously collects multi-dimensional force / torque, displacement, and acceleration parameters throughout the entire operating process. This invention solves the problems of load distortion, single measurement, and asynchronous data in traditional testing, achieving accurate and universal testing of the operating performance of lever mechanisms.

The present application belongs to the technical field of vehicle-mounted communication antenna servo control, and particularly relates to a tilt angle sensor drift elimination method based on a bias tracking algorithm, comprising the following steps: synchronously collecting original tilt angle readings and chip temperature readings of the tilt angle sensor at a fixed collection period; calculating a short-time standard deviation of the original tilt angle readings in a sliding window, determining as stationary when the short-time standard deviation is lower than a stationary threshold, determining as disturbance when the short-time standard deviation is not lower than the stationary threshold, obtaining a stationary state flag, and taking the square of the short-time standard deviation as an observation noise variance; calculating a temperature rise rate according to the chip temperature readings, and outputting a high value as a bias process variance when the stationary state flag is stationary and the temperature rise rate is higher than a thermal equilibrium threshold. The present application solves the problem of transient bias drift of the tilt angle sensor caused by chip temperature rise, so that the output error of the corrected tilt angle value continuously meets the leveling accuracy requirement in the task period.

The invention discloses a flexible photovoltaic tracking support electrical linkage consistency control method and system. According to the method, the target angle, the real-time angle and the inclination angle data of a support are collected, a one-master multi-slave distributed control architecture is combined, and a transverse verification mechanism, a double-link cross correction mechanism and a longitudinal verification mechanism are utilized, so that synchronous and consistent operation between driving units is achieved; and hierarchical fault protection and angle self-calibration are executed when communication is interrupted, overloaded or triggered by hard limit. The system comprises a master controller, a slave controller, a motor encoder, a tilt angle sensor, a communication module, a protection module and an information interaction unit, and can realize local visualization and remote monitoring. According to the scheme, flexible support distortion and photovoltaic module damage caused by inconsistent driving can be effectively avoided, and the safety, reliability and operation and maintenance efficiency of the system are improved.

The invention discloses a subway operation and maintenance track geometric dimension measurement and acquisition real-time alarm system, which comprises a transverse frame, a first connecting sleeve is mounted on the left side of the outer part of the transverse frame, a track gauge and superelevation sensor is mounted at the center of the top of the transverse frame, and a support frame is mounted at the center of the front side of the transverse frame. A cart handle is movably connected into the supporting frame through a rotating shaft, a second connecting sleeve is installed on the right side of the exterior of the transverse frame, and placing plates are connected to the bottoms of the front side and the rear side of the second connecting sleeve. The moving rollers are transferred to the top of the subway track, and the cart handle is pushed to enable the transverse rack to move forwards. In the process that the moving rollers roll forwards at the top of the subway track, the mileage coding sensor completes measurement of the walking mileage of the moving rollers; furthermore, in the process of moving the rollers forwards, the track gauge, the superelevation sensor and the inclination sensor also detect the subway track data in real time, and all types of detection data are transmitted to the single-chip microcomputer.

A method for attenuating interference in the measurement of an angle of sideways tilt of a motorized two-wheeled vehicle including an electronic control unit configured to compute an angle of sideways tilt of the vehicle from the measurements of a tilt sensor. The method includes: reception of the value of the speed of the vehicle measured by the speed-measuring module; reception of the number of revolutions per minute of the engine; computation of the ratio between the received speed value and the received number of revolutions per minute; comparison of the ratio between the received speed value and the number of revolutions per minute with an attenuation interval; if the ratio is outside the attenuation interval, computation of the tilt angle without attenuation; if the ratio is within the attenuation interval, computation of the tilt angle with attenuation.

This invention discloses a ship motion detection system, including a ship motion angular displacement detection system comprising a lateral tilt sensor, a longitudinal tilt sensor, and a heading sensor installed on the ship; a target tracking and observation system comprising a target tracking servo gimbal and a target observer installed on the ship; and a data acquisition, calculation, and storage system for acquiring and storing the ship's roll, pitch, and bow signal data measured by the ship motion angular displacement detection system, and for calculating and storing the ship's sway, pitch, and heave motion data. This invention also discloses a ship motion detection method based on the above system. This invention enables highly reliable and accurate measurement of ship motion data in waves, further improving the compensation accuracy of wave compensation boarding bridges on wind power maintenance vessels.

The invention relates to a method for calibrating a tilt sensor (111) for a two-wheeled vehicle (1), comprising the steps of: - selecting (E1) a two-wheeled vehicle (1) including said tilt sensor (111) to be calibrated, - tilting (E2) the vehicle (1) to a first predetermined lateral tilt angle, - recording (E3) the value of the projection of Earth's gravity onto the three axes, - tilting (E4) the vehicle (1) to a second predetermined lateral tilt angle, - recording (E5) the value of the projection of Earth's gravity onto the three axes, - calculating (E9) a projection matrix between the intrinsic frame of the tilt sensor (111) and the frame specific to the vehicle (1) from the projection of Earth's gravity onto the three axes of the intrinsic frame and the vehicle's frame (1), - recording (E10) the projection matrix calculated for each vehicle (1). Figure for the abstract: Fig 5

The invention relates to a method for commissioning an inclination sensor (10) for monitoring rotatable components (12), wherein the inclination sensor (10) is connected to the uniaxially rotatable component (12) in an arbitrary initial orientation and wherein commissioning steps of the inclination sensor (10) are performed. In this process, the component (12) is rotated to at least two arbitrary angular positions (a1, a2), a principal axis of rotation is determined, and a correction factor for transforming one of the axes of the reference coordinate system to the component's axis of rotation (B) is taught. The invention further relates to an inclination sensor (10) and a system.

This utility model relates to the technical field of devices for measuring the clearance of signal controllers, specifically a device for measuring the clearance of signal controllers, including a detection plate and a counterweight plate. A clearance measuring component is provided on the top of the detection plate, and an inclination sensor is provided at one end of the clearance measuring component. A fixing plate is provided at one end of the detection plate. Sliding rods are symmetrically arranged between the fixing plate and the counterweight plate. A sliding sleeve is slidably fitted onto the outside of the sliding rod. A connecting plate is provided on the surface of the sliding sleeve, and a traveling wheel is provided on the side of the connecting plate. In this device for measuring the clearance of signal controllers, a push rod connected to the top of the handle via a connecting block gradually moves towards the counterweight plate. During the movement of the push rod, the angle between the first and second pull rods at both ends and the connecting rod changes, causing the connecting plate to rotate to a position parallel to the connecting rod. At this time, the connecting rod flips to the top of the device for storage, reducing the volume of the device during transportation and storage, reducing the time spent on installation and disassembly, and improving the efficiency of measurement.

The invention discloses a derailment alarm device for a self-propelled rail car. The derailment alarm device comprises a self-propelled rail car walking part and a derailment alarm device body. The self-propelled rail car walking part comprises a swing bolster, a wheel pair and a side frame; the two ends of the swing bolster are each provided with a side frame, the portions, on the inner sides of the side frames, of the swing bolster are each provided with a wheel pair, and the wheel pairs drive the self-propelled rail car to move through rolling friction between the wheel pairs and a steel rail. The derailment alarm device comprises a laser range finder, a tilt angle sensor and a signal processing module; the laser range finder is installed on the side face of the swing bolster and used for measuring the distance between the swing bolster and a steel rail. The tilt angle sensor is installed on the bottom face of the swing bolster and used for measuring the included angle of the swing bolster relative to the ground. The signal processing module is in communication connection with the laser range finder and the tilt angle sensor and used for judging whether the current self-propelled rail car has the derailment risk or not according to data transmitted by the laser range finder and the tilt angle sensor. According to the invention, the derailment abnormal information can be sent to the control system at the first time, so that the self-propelled rail car can make corresponding actions such as sudden stop and unloading, and greater damage to the self-propelled rail car caused by derailment is reduced.

The invention relates to the technical field of tilt angle sensors, and discloses a femtosecond grating-based large-tilt-angle small-size tilt angle sensor, which comprises a mounting plate, a gear is movably connected to the center of an inner cavity of the mounting plate, and fixed plates are fixedly connected to the left and right ends of the mounting plate. A spring is fixedly connected to the side, close to the center of the mounting plate, of the fixing plate, a moving rod is fixedly connected to the side, away from the fixing plate, of the spring, a sliding rod is fixedly connected to the side, away from the gear, of the rear side of the moving rod, and a rack is fixedly connected to the side, close to the gear, of the moving rod; a guide rod is fixedly connected to the side, close to the fixed plate, of the movable rod, a connecting rod is fixedly connected to the bottom end of the movable rod, a base is fixedly connected to the bottom end of the connecting rod, and threaded plates are fixedly connected to the front side and the rear side of the base. And a user can rotate the installation mode according to actual use requirements, and the practicability and convenience of the device are greatly improved.

The invention relates to the technical field of solar power generation, and particularly discloses a solar power generation angle adjusting device based on double-shaft tracking. An adjusting groove is formed in the bottom inner wall of the supporting frame, an elevation angle adjusting mechanism is installed in the adjusting groove, an azimuth angle adjusting mechanism is installed at the top end of the elevation angle adjusting mechanism, a detection mechanism is installed at the top end of the azimuth angle adjusting mechanism, and a cleaning mechanism is installed on the outer wall of the detection mechanism. By integrating a plurality of high-precision sensors, such as a double-axis tilt angle sensor, a GPS positioner, a spectrum sensor and the like, sun position data can be accurately acquired in real time, a tracking strategy is dynamically optimized in combination with weather data, the design not only improves the accuracy of angle adjustment of the solar panel, but also predicts the sun trajectory through an AI algorithm, and the tracking accuracy of the solar panel is improved. And the angle is adjusted in advance, so that the efficiency loss caused by mechanical delay is effectively reduced, and the overall power generation efficiency of the solar power generation system is remarkably improved.

The present application relates to a kind of precast pile construction perpendicularity detection method, comprising the following steps:1) precast pile piling mechanism installation;2) sensor installation;3) support perpendicularity adjustment;4) precast pile fixation;5) precast pile piling, precast pile perpendicularity detection, the precast pile construction perpendicularity detection method, using dual-axis tilt sensor real-time detection precast pile construction process X, Y two vertical direction's longitudinal perpendicularity is monitored, promptly master whether pile body perpendicularity meets the requirement, can improve construction efficiency and construction quality, and need not manual observation operation, detection data is accurate.

The invention relates to the technical field of unmanned aerial vehicle positioning and navigation, and provides an unmanned aerial vehicle positioning method and system based on multidirectional optical flow, and the method comprises the steps: collecting data through a four-directional optical flow sensor and a TOF sensor, and enabling a left front sensor to be installed in an inclined manner; converting data of the inclination sensor into a pipeline column coordinate system; establishing a spiral trajectory model prediction position and performing quality evaluation; distributing a time-varying weight in combination with prediction and quality data; carrying out weighted fusion based on the weight and carrying out constraint positioning in combination with distance data; and calculating a correction threshold value through an error propagation model, and performing layered correction when the threshold value is exceeded. According to the invention, the positioning precision and trajectory tracking reliability of long-distance climbing flight of the unmanned aerial vehicle in a narrow pipeline space are improved, and meanwhile, the strict requirement of a complex pipeline inspection task on high-precision real-time positioning is met through a complete quality evaluation and error correction strategy.

The invention discloses a measuring instrument inclination angle monitoring method and device fused with vision assistance, belongs to the technical field of precise instrument measurement, and aims to solve the problem of poor reliability of inclination angle detection of a measuring instrument in the prior art. According to the technical key points, the method comprises the following steps: respectively acquiring an image containing a level gauge and an inclination angle measurement value by using an image sensor module and an inclination angle sensor in an inclination angle detection device fixed on a measuring instrument; a multi-core processor in the dip angle detection device is used for processing images containing the level gauge, bubble position information of the level gauge is extracted, and a dip angle value of the level gauge is obtained according to the bubble position information; and carrying out fusion processing on the dip angle value of the level gauge and the dip angle measurement value to obtain a fused dip angle value, and taking the fused dip angle value as a final dip angle monitoring result of the measuring instrument. The method is suitable for a high-precision measuring instrument with extremely high requirements on the real-time performance and the accuracy of horizontal inclination angle monitoring.

It is known to monitor earthworks and embankments such that damage caused by any mass wasting can be mitigated against. Stakes are known to be used; however, stakes that are driven too far into the ground may not be affected by movement of loose topsoil. In contrast, stakes that are not driven far enough into the ground are easily disrupted. In any event, even correctly deployed stakes can sag under their own weight, for example when a relatively heavy tilt sensor is attached off centre. The present invention provides a mass wasting monitoring stake, comprising first and second monitoring parts (1) and a primary connector (5) configured to releasably attach the first and second monitoring parts (1) together. In this way, the stake can be driven into the ground (11), deploying the first and second monitoring parts (1), and the primary connector (5) can subsequently release the first and second monitoring parts (1), such that relative movement between the first and second monitoring parts (1) can be detected if mass wasting were to occur.