Abstract: The present disclosure provides a method for testing an internal force increment of an arch bridge suspender by inertial measurement, including the following steps: (1) selecting a suspender to be tested with internal force increment, and mounting an acceleration sensing device or a speed sensing device at a lower edge of the suspender to be tested; (2) setting an appropriate sampling frequency and collecting signals; (3) processing information data collected in step (2) by using Formulas; and (4) recording a result of the information data processing and obtaining the internal force increment of the suspender. The method can obtain the internal force increment of the suspender by collecting acceleration or speed signals of the lower edge of the suspender and performing calculation from the signals. This method has the advantages of simple and convenient testing, high replicability and low test cost.

Abstract: A method of automatically switching a mode of receiving differential data for driving test and driver training using a mobile station includes the following steps of: after a mobile station installed on a training vehicle is powered on, using a mode of receiving the differential data by a radio station; if the differential data cannot be received within a preset time period under the mode, switching the radio station to a GPRS mode; if the radio station of the mobile station receives failure information, feeding the information back to a back-end server by the mobile station; informing a technician, by the back-end server, to perform troubleshooting, after the radio station failure is eliminated, feeding information back to the mobile station through the back-end server, and switching the mobile station back to the mode of receiving the differential data by the radio station.

Abstract: A method for initial alignment of an inertial navigation apparatus, comprising the following steps: providing an apparatus loaded with a sensor, and preprocessing the sensor; carrying out relative alignment to calculate an installation error angle of the sensor; carrying out absolute alignment to calculate an installation attitude angle error of the sensor to increase an accuracy of an error attitude angle calculated during the relative alignment. The relative alignment process calculates a relative error attitude angle, the relative error attitude angle being used as the initial value for attitude error in a stat vector in the absolute alignment process, thereby accelerating convergence of the Kalman filter. Alignment precision is further enhanced by the absolute alignment process.

Abstract: A tilt measurement method for an RTK measuring receiver includes the following steps: step S1: fixing the bottom of a centering rod and performing a measurement after an inclination and shake; step S2: obtaining a measurement point sequence, a measurement point tilt sequence, a length of the centering rod, and a height of an antenna phase center based on the measurement; step S3: obtaining a positioning quality threshold and a geodetic coordinate of the to-be-measured point based on values obtained from the measurement; and step S4: determining whether the positioning quality threshold meets a requirement or not to decide whether to finish the measurement or not. In the method, the position of a to-be-measured point is calculated according to the position and the tilt angle of the antenna phase center of the receiver, and the length of the centering rod etc. during multiple tilt measurements.

Abstract: A tilt measurement method for an RTK measuring receiver includes the following steps: step Si: fixing the bottom of a centering rod and performing a measurement after an inclination and shake; step S2: obtaining a measurement point sequence, a measurement point tilt sequence, a length of the centering rod, and a height of an antenna phase center based on the measurement; step S3: obtaining a positioning quality threshold and a geodetic coordinate of the to-be-measured point based on values obtained from the measurement; and step S4: determining whether the positioning quality threshold meets a requirement or not to decide whether to finish the measurement or not. In the method, the position of a to-be-measured point is calculated according to the position and the tilt angle of the antenna phase center of the receiver, and the length of the centering rod etc. during multiple tilt measurements.

Abstract: A flight control system of an unmanned aerial vehicle with differential positioning based on a CORS network includes a MEMS sensing unit for collecting data of angular velocity, linear velocity, air pressure, and magnetic field; a GNSS positioning unit for acquiring GNSS positioning data; a network communication unit for acquiring CORS differential data; an attitude/navigation control unit for controlling the attitude and navigation of the unmanned aerial vehicle, a main control unit for performing data processing, data fusion and system control operations among functional units. The 3G mobile network is used to obtain the differential data from CORS base station and realize an RTK differential positioning of the flight control system, which can satisfy the requirements of centimeter-level positioning accuracy of unmanned aerial vehicles for high-end consumer market and professional surveying and mapping.

Abstract: An automatic calibration method of an angle sensor for an automatic drive control system of a farm machine includes the following steps. S1: fixing a steering wheel of the farm machine to make front wheels of a vehicle kept at a fixed angle. S2: collecting a plurality of pieces of current position information of the farm machine, and processing the plurality of pieces of current position information to obtain an average value. S3: establishing a two-wheel farm machine kinematics model based on a center of a rear axle. S4: performing a radius calculation to obtain a set of angle correspondences. S5: rotating the farm machine by a preset angle at a constant speed with the rear axle of the farm machine as a center, and performing S1 through S4. S6: after performing S5 for several times, performing an angle value fitting calculation to obtain a calibration coefficient.

Abstract: The present invention is applicable to the field of security and protection, and provides an alarm signal output apparatus, a detection alarm device, and a detection alarm platform system. The alarm signal output apparatus can be disposed in a battery position of a device under test, and is connected to a power output end of the device under test. The alarm signal output apparatus includes: at least one battery installation space; and an alarm signal output unit. The alarm signal output unit can be electrically connected to a battery, and outputs an alarm signal externally in a wireless manner when detecting a change in a voltage or current of the device under test.

Abstract: The present invention is applicable to the field of security and protection, and provides a combined fixing apparatus and an alarm device. The combined fixing apparatus includes: a first fixing part that can be fixed to an installation surface in a punching-free manner; and a second fixing part that can be fastened to an installation; wherein the first fixing part and the second fixing part are provided with detachable structures cooperating with each other and reliably connecting the first fixing part to the second fixing part respectively. The first fixing part and the second fixing part are detachably connected, which facilitates assembly and disassembly. Moreover, the first fixing part is fixed in a punching-free manner, which can avoid the damage to the installation surface and can reduce labor costs of installation, improving the working efficiency.

Abstract: An automatic calibration method of an angle sensor for an automatic drive control system of a farm machine includes the following steps. S1: fixing a steering wheel of the farm machine to make front wheels of a vehicle kept at a fixed angle. S2: collecting a plurality of pieces of current position information of the farm machine, and processing the plurality of pieces of current position information to obtain an average value. S3: establishing a two-wheel farm machine kinematics model based on a center of a rear axle. S4: performing a radius calculation to obtain a set of angle correspondences. S5: rotating the farm machine by a preset angle at a constant speed with the rear axle of the farm machine as a center, and performing S1 through S4. S6: after performing S5 for several times, performing an angle value fitting calculation to obtain a calibration coefficient.

Abstract: A method of automatically switching a mode of receiving differential data for driving test and driver training using a mobile station includes the following steps of: after a mobile station installed on a training vehicle is powered on, using a mode of receiving the differential data by a radio station; if the differential data cannot be received within a preset time period under the mode, switching the radio station to a GPRS mode; if the radio station of the mobile station receives failure information, feeding the information back to a back-end server by the mobile station; informing a technician, by the back-end server, to perform troubleshooting, after the radio station failure is eliminated, feeding information back to the mobile station through the back-end server, and switching the mobile station back to the mode of receiving the differential data by the radio station.

Abstract: A method for initial alignment of an inertial navigation apparatus, comprising the following steps: providing an apparatus loaded with a sensor, and preprocessing the sensor; carrying out relative alignment to calculate an installation error angle of the sensor; carrying out absolute alignment to calculate an installation attitude angle error of the sensor to increase an accuracy of an error attitude angle calculated during the relative alignment. The relative alignment process calculates a relative error attitude angle, the relative error attitude angle being used as the initial value for attitude error in a stat vector in the absolute alignment process, thereby accelerating convergence of the Kalman filter. Alignment precision is further enhanced by the absolute alignment process.

Abstract: A method of updating an all-attitude angle of an agricultural machine based on a nine-axis MEMS sensor includes the following steps: establishing an error model of a gyroscope, an electronic compass calibration ellipse model and a seven-dimensional EKF filtering model, and setting a parameter vector corresponding to a vehicle motional attitude (S1); acquiring data including an acceleration and an angular velocity of a motion of vehicle, and an geomagnetic field intensity in real time (S2); calculating an angle, a velocity, position information, and a course angle of the vehicle by established error model of the gyroscope and the electronic compass calibration ellipse model(S3); data-fusion processing the angle, the velocity, the position information and the course angle of the vehicle by the seven-dimensional EKF filtering model, and updating a motional attitude angle of the vehicle in real time. The steps of the method have a small error, high precision, and reliability.