107results about How to "Compensation accuracy" patented technology

The invention discloses a tunnel construction informatization dynamic monitoring system and a monitoring method thereof. The system comprises an industrial personal computer, a PLC (programmable logic controller) wireless controller, a high-configuration digital camera, a deformation monitoring sensitization part, digital display acquisition equipment, wireless transmission equipment and a dynamic design feedback device. The method includes: 1), controlling commands to be transmitted to the PLC wireless controller by a computer control main station and controlling the digital camera and the digital display acquisition equipment; 2), acquiring internal force monitoring data by the aid of the digital display acquisition equipment; and acquiring a deformation monitoring image via the deformation monitoring sensitization part by the digital camera; 3), transmitting a monitored value to the computer control main station by the aid of the wireless transmission equipment; 4), analyzing results by the computer control main station via a real-time analysis module; and 5), transmitting the analyzed results to the dynamic design feedback device, analyzing relative difference of the really monitored value and a standard value, and early warming in real time by an early warning module. The tunnel construction informatization dynamic monitoring system is scientific, safe and practical, the method is convenient, instant, fast and effective, and safety problems in construction monitoring of tunnels are avoided.

The invention relates to active passive knuckle arm type measuring robot. It includes I, II, III, IV, and V shaft assemblies. Its features are that each shaft assembly is set actuator and active passive switching unit; encoder used to measure output corner is connected with the output axis. The invention has high measuring accuracy, can actively process trace plan. The encoder can collect final moving corner for each knuckle axis to avoid mechanical error between step motor and harmonic reducer. The invention can be widely used in various products measuring and detecting.

A GPS positioning system comprises a fixed station and a mobile station. The mobile station has: positional positioning means; imaging means; direction detecting means; and arithmetic processing means. The positional positioning means measures positional coordinates by receiving radio wave from a satellite. The imaging means is arranged in a predetermined position for the GPS positional positioning means. The direction detecting means detects a photographing direction during photographing by the imaging means. The arithmetic processing means forms landscape data in which imaging data that is an output from the imaging means is associated with orientation data that is an output from the direction detecting means.

The invention provides a coordination control method for vehicle path tracking and stability. The method includes the following steps: step S1. performing vehicle modeling; step S2. performing estimation on a vehicle state and system interference based on Kalman filtering; and step S3. performing integrated control on the vehicle path tracking and stability. The method establishes a vehicle dynamics model and a path tracking model, and designs an estimation method of the vehicle state and steering system interference. An upper-layer controller is designed by using a sliding mode control method, which aims to ensure the stability of a vehicle itself while reducing course deviation and lateral deviation during a path tracking process. In a lower-layer controller, a method for optimal distribution of a wheel tire force is designed, and according to requirements of the upper-layer controller and combining yaw and roll stability conditions of the vehicle, directional control distribution ofthe wheel tire force is achieved. The coordination control method can ensure that a wheel independently drives the smart automobile to achieve a path tracking effect, and also ensures lateral and roll stability of the smart automobile itself.

The invention discloses a vehicle locating method based on matching of road surface image characteristics. The vehicle locating method based on the matching of the road surface image characteristics comprises the steps of determining geographical coordinates of an initial position of a vehicle, shooting road surface images in real time in the traveling process of the vehicle, carrying out dogging processing on two shot current continuous frames of the road surface images in sequence, carrying out matching on the two continuous frames of the road surface images processed through the dogging in real time to obtain matching dot pairs of the two continuous frames of the road surface images, carrying out vehicle location on the vehicle according to the obtained matching dot pairs, judging whether the current two frames of the images are the last two frames or not, ending the process if the current two frames of the images are the last two frames, and otherwise repeating the steps. According to the vehicle locating method based on the matching of the road surface image characteristics, the road surface images only need to be collected in real time in the traveling process of the vehicle, and matching is carried out on the two continuous frames of the road surface images so that automatic vehicle location can be achieved; the method is not prone to interference, high in location precision and capable of saving time and labor due to the fact that the time-consuming and labor-consuming link of collecting all-dimensional street scenes in advance in an existing locating method is saved.

The invention relates to a position sensor and a three-dimension laparoscope camera calibration device and method. The method comprises compensating an output error of an electromagnetic position sensor through a high-precision optical positioning system, calculating the position and posture of a three-dimension laparoscope camera through calibrating a reference cube, and analyzing the coordinate relation between the electromagnetic position sensor and the three-dimension laparoscope camera using dual quaternion at last. By adopting the sensor and the three-dimension laparoscope camera calibration device and method, offset defect, generated by deformation of the magnetic field, of output of a present electromagnetic position sensor can be overcome, the calibration is accurate, the instantaneity is good. The calibration device and method are easy to operate, positional relationship between an electromagnetic position sensor and an endoscope camera can be speculated only through the electromagnetic position sensor fixed to the front end of the endoscope camera and calibration grids.

The invention discloses a dual-mode input device, which comprises a control module used for processing input information, a display module used for displaying the input information, an electromagneticinduction module for acquiring electromagnetic pen input information, and a capacitive touch module for acquiring touch information. The control module processes the input information acquired by theelectromagnetic induction module and the capacitive touch module and transmits the input information to peripheral equipment, such as a computer, an embedded system and the like. The peripheral equipment drives the display module to display the input information from the control module to display equipment of the display module. The dual-mode input device integrates electromagnetic touch technology with capacitive touch technology, can be operated in a mode of touching with a hand, also can be operated by writing, drawing and the like with an electromagnetic pen, so the device has compact structure and convenient use.

The invention discloses a high-resolution three-dimensional resistivity CT (Computed Tomography) imaging advanced prediction system and method of underground engineering. According to the system and the method, a three-dimensional measuring mode of parallel double drilled holes and orthogonal measuring liens is designed; a multiple-coverage, fully automatic and fully combined free data acquisition mode is adopted; the conventional electrical process data acquisition mode is improved, so that richer data quantity can be achieved; a three-dimensional total space resistivity data inversion interception method is performed, so that a more accurate three-dimensional imaging effect can be obtained, a three-dimensional resistivity fine structure of a geologic body in a certain range in front of a working face is obtained, and high-resolution accurate imaging of an abnormal geologic body can be realized; and particularly, the resolution of a deep part is obviously improved, the bottleneck that only a local region can be detected by advanced bore is broken through, the defects of low accuracy and resolution of the conventional advanced prediction geophysical exploitation method are overcome, and a feasible approach is provided for realizing high-resolution accurate advanced prediction of construction of the underground engineering.

The invention provides a counting device, a counting method and an infrared detection system. The counting method includes the following steps: the pulse signals of passive infrared sensors are fused, so that a fused signal is obtained; when the pulse signal of the first passive infrared sensor is received in the fused signal, a timer is started, and a dynamic data frame is constructed; according to the set time length of the timer, whether the construction of the dynamic data frame is finished is determined; when the construction of the dynamic data frame is finished, according to a decision rule, the judgment of the moving directions and number of detected targets is carried out on the dynamic data frame, and thereby accurate counting is realized by using the passive infrared sensors.

The invention discloses a network intrusion detection method based on ambiguity and ensemble learning. The method comprises the following steps: S1, from original traffic data, extracting basic characteristic data which can reflect traffic characteristics; S2, preprocessing the extracted basic characteristic data; S3, taking the preprocessed basic characteristic data as a training sample set, andrandomly dividing the training sample set for many times to obtain several training sample subsets; S4, according to data in each training sample subset, constructing and training several base classifiers through an ambiguity-based semi-supervised ELM algorithm; S5, combining all the well trained base classifiers through an integration algorithm, obtaining a final intrusion detection model, and performing network intrusion detection. With the method provided by the invention, problems, such as overlong training time for constructing the model and failure in well adaptation to detection of attacks of new types, in the prior art are solved, and the method provided by the invention can perform rapid training and improve capability of identifying the attacks of new types.

The present invention relates to a method for integrating the survey and design of power transmission lines with internal and external work using all-digital photogrammetry technology. The present invention is improved on the basis of the prior art. Plane section data, after field measurement and adjustment, use the data batch processing software interface to input the plane section data into the Daoheng software platform. The invention has the beneficial effects of low cost, high work efficiency, reduced labor intensity, less personnel investment, reliable quality, easy popularization and application, and remarkable economic and social benefits.

The invention provides a laser far-field focal spot high-precision dynamic diagnosis device and method, and aims to overcome the defects that the prior art is low in resolution ratio and large in error.The dynamic diagnosis device comprises a single mode fiber laser device, a collimating mirror, an iris diaphragm, a beam splitter, a sampling mirror, a beam shrinking and expanding system, a reflective mirror, a multi-channel binary optical element and a CCD detector which are sequentially arranged on the same optical path.The dynamic diagnosis device further comprises a reference integrating sphere power meter arranged on the reflecting optical path of the beam splitter, a measurement integrating sphere power meter arranged on the reflecting optical path of the reflective mirror and a control computer connected with the reference integrating sphere power meter, the measurement integrating sphere power meter and the CCD detector at the same time.Far-field focal spot diagnosis of laser beams in different calibers can be achieved; the dynamic diagnosis device has the advantages of being high in accuracy and stability, and measurement results are high in confidence coefficient.

To detect the rotational speed and angular position of a rotating wheel, a non-contact sensor (e.g., an optical sensor or a Hall sensor) scans scan marks on the wheel, and generates a pulse train. The amplitude of the pulses is compared in a comparator with a variable switching threshold. To achieve accurate measurement results, and to compensate for offset and long-term drift of the sensor, the switching threshold is adjusted if one or more of the following conditions is met: (i) the difference between the pulse amplitude and the switching threshold exceeds a fixable first maximum, (ii) the difference of the amplitudes of two successive pulses exceeds a fixable second maximum, (iii) the difference of the frequencies of successive pulses exceeds a fixable third maximum. The method is particularly advantageous in a motor vehicle, to detect the rotational speed and angular position for an electronic ignition system, or the rotational speed and angular position of the wheels for an ABS braking system, an anti-skid system, or a vehicle stabilization system.

The invention discloses an auto-uncovering robot in a modular design structure. The auto-uncovering robot comprises a lifting mechanism, a rotating mechanism, a barrel center positioning mechanism, a shifting mechanism, a cover storage mechanism, a cover picking mechanism, a support and a tightening shaft mechanism. Through the reasonable structure and coordination of the mechanisms, functions of automatically uncovering multiple target barrels and picking and storing the covers are achieved; the flexibility, safety, precision and stability problems of existing equipment are made up.

A low-frequency GPS track road network matching method based on multi-dimensional data fusion analysis comprises the steps that firstly, a candidate point set of each GPS track point is calculated, the matching degree of adjacent candidate points is considered from multiple dimensions such as space, time and environment, multi-dimensional data fusion analysis is conducted, and the final matching degree is formed; then, a global static voting matrix is constructed and compressed, low-correlation-degree abnormal track points are removed, meanwhile, factors such as signal timing are comprehensively considered, and a dynamically-optimized local weighted voting matrix is generated; and finally, path generation and candidate point voting are carried out, the candidate path with the highest voting value is selected as a final matching path, and road network matching of the GPS track is completed. The method is suitable for an urban road network, considers the space-time relationship and environmental influence of adjacent track points, carries out multi-dimensional data fusion analysis, eliminates low-correlation abnormal points, and improves the accuracy of road network matching. Meanwhile, dynamic factors such as signal timing and the like are considered, and the road network matching precision is further improved.

The invention provides a cadastral survey off-line data processing method. Errors are eliminated by sequentially carrying out data preprocessing on inertial survey unit data in field collected data; and the inertial survey unit data with eliminated errors are classified, and the classified data are processed by adopting kalman fixed-interval optimal smoothing, a pure strapdown algorithm and a reverse navigation algorithm respectively, so that various harmful error components in the inertial survey unit data are effectively filtered, and the high-precision positioning information of points to be surveyed in cadastral survey is acquired.

The invention relates to an anti-explosion motor casing processing device and processing technology, and belongs to the technical field of anti-explosion motor casing processing. The anti-explosion motor casing processing device and processing technology comprise milling tools and drilling tools; the milling tools comprise a positioning mandrel, and the positioning mandrel is provided with a positioning plate, an L-shaped base plate, T-shaped nuts, a T-shaped threaded rod and a counter nut in sequence in a sleeved mode from back to front; on the basis of the milling tools, a horizontal drill plate is added to the drilling tools, one end of the drill plate is arranged on the upper end of the L-shaped base plate through an adjusting block, the other end of the drill plate is supported through a movable supporting seat, and drilling positioning holes are formed in a plane of the drill plate. The anti-explosion motor casing processing device and processing technology have the advantages that the usage is convenient, the disassembly frequency of the tools is greatly reduced, the work efficiency is improved, and the processing accuracy is guaranteed.

The invention provides a target tracking method and device based on anchor-point-free twin network key point detection. The method comprises the steps: acquiring a target tracking video; sending the target template image and the target search area image into a pre-trained central point estimation module to generate a central point position estimation heat map, an offset estimation heat map from the upper left corner to the central point and a central point position error estimation heat map; sending the target search area image to a pre-trained corner estimation module to generate a corner position estimation heat map and a corner position error estimation heat map; and estimating angular point coordinates according to the offset estimation heat map from the upper left corner to the central point, determining a target frame in the current frame image according to the central point and the angular point coordinates, and completing target tracking. Target tracking is regarded as a determination problem of a center point and a top left corner point, and is decomposed into two parts of corner point position estimation and center point position estimation, so that the use of preset anchor points is avoided, the output quantity of heat maps is reduced, the parameter quantity of a network is reduced, and the speed of a tracking algorithm is increased.

The invention relates to a device for superspeed laser cladding manufacture and a method. The device comprises a laser generator, a beam expander and a reflector, wherein an emergent light path of thereflector directly faces a cladding nozzle, the cladding nozzle is connected with a powder pool through a hose and a pump in sequence, a base body is arranged below the cladding nozzle, the base bodyis located on a rotating platform, a main stepping motor is fixedly installed below the rotating platform and fixed to a lifting platform, and a laser range finder is arranged above the base body. According to the device and the method, through rotation, the superspeed laser cladding technology can reach a higher cladding speed on a flat plate, the cladding speed can reach 100 m / min, meanwhile, in a laser cladding additive manufacturing process, an ultrasonic vibration device, an infrared camera, a high-speed camera, a laser range finder and a radiographic inspection system are started, real-time detection is conducted on the laser cladding process, technological parameters are dynamically adjusted, and therefore the purpose of manufacturing the defect-free high-performance metal component is achieved.

Provided is an online iteration method for waveform reproduction of a high-precision seismic simulation vibration table. An iteratively corrected transfer function matrix is updated online to improvethe waveform reproduction precision of a vibration table. Online iterative control comprises the following steps: an original acceleration signal is input; after zero is added to command data and white noise is added, an autocorrelation function is obtained through calculation and post-collection Fourier transformation is carried out to obtain an auto-power spectrum Gxx; a command signal Fourier spectrum is multiplied by the inverse of a transfer function matrix to obtain an acceleration signal Fourier spectrum; an acceleration command is obtained after Fourier transformation; a controller inside a vibration table performs the acceleration command, collects an acceleration signal output by the vibration table, and obtains a cross correlation function of the acceleration command and the acceleration signal; a cross-power spectrum Gxy is obtained after post-collection Fourier transformation; the cross-power spectrum is divided by the auto-power spectrum to obtain a transfer function matrix; whether the number of steps of conditional sampling is greater than the number of data in one frame of Fourier transformation is judged; if the number of steps of conditional sampling is greater than the number of data in one frame of Fourier transformation, the transfer function matrix is updated; and if the number of steps of conditional sampling is not greater than the number of data in oneframe of Fourier transformation, the transfer function matrix is kept unchanged, thus completing online iterative control.

The invention discloses an automatic-tracking-based profile measurement system and method for a free-form-surface optical element. The system comprises a motion module, a position servo module and a dual-frequency laser interferometer. According to the invention, a profile of a measured optical element is obtained by fitting by using a measurement method of automatic probe tracking, so that a problem that the PV value can not be measured because the probe can not move according to the existing measurement method can be solved effectively. Meanwhile, with a color confocal measuring principle, the measurement precision and the resolution ratio can reach the nanometer scale and the measurement range can reach 10mm. Therefore, problems that the measured optical element may be damaged by the existing probe, the precision is low, and the range is limited in the prior art can be solved.

The invention relates to a depth camera and single-line laser radar fused mobile robot obstacle avoidance method. The method comprises the following steps of (1) performing joint calibration on a depth camera and a single-line laser radar, (2) preprocessing and cutting a depth image, (3) judging whether the preprocessed depth image needs to be subjected to data fusion with the laser radar or not, (4) carrying out grid map fusion by using a Bayesian estimation method, and (5) carrying out obstacle avoidance by using a local obstacle avoidance algorithm. The defect that a single depth camera can only obtain the area in the front view field and cannot obtain the environmental data of the back, the left side and the right side is overcome, the depth image data needing to be calculated is greatly reduced by preprocessing and cutting the depth image, and the data processing speed of obstacle avoidance is effectively accelerated.

The invention belongs to the technical field of underground pipeline defect detection, and provides a pipeline defect identification method and device, terminal equipment and a storage medium, and the pipeline defect identification method comprises the steps: determining three-dimensional point cloud data of a depth image through obtaining the depth image, a color image and space trajectory information of a pipeline; and determining a first pipeline defect identification result according to the three-dimensional point cloud data and the space trajectory information, determining a second pipeline defect identification result through a preset pipeline defect identification algorithm and the color image, and determining a pipeline defect grade according to the first pipeline defect identification result and the second pipeline defect identification result. That is, the pipeline defect grade is determined by combining the three-dimensional point cloud data of the depth image and the double pipeline defect identification result of the color image, so that automatic detection and identification of the pipeline defects are realized, the defects of poor precision and strong subjectivity of manual detection are overcome, the accuracy of pipeline defect identification is improved, and the identification efficiency is improved at the same time.

The invention relates to a method for the online self test of a non-complete freedom inertial platform, which is suitable for the self test of various non-complete and complete freedom inertial platforms, and belongs to the technical field of parameter online self test. Under the premise of not utilizing additional equipment and dismantling a platform system, the outputs of an accelerometer and a gyroscope when the platform is in different attitudes are utilized, the output models of the accelerometer and the gyroscope are combined, a least square method is utilized to automatically test the key parameters of the platform in real time, and the computation speed is very fast. Consequently, for systems with high real-time requirements, platform key parameters can be automatically tested quickly through adopting the method. Compared with the conventional method, the method not only eliminates the inconvenience for dismantling an inertial platform system, but also can provide real-time system test data, and provides the beneficial guarantee for the stably operation of the inertial platform system.

The invention discloses a dynamic weighing correction method based on a deep neural network in a digital twinning environment, wherein the method is characterized in that a quartz weighing sensor converts a pressure signal into an electric signal for output when a vehicle passes through a weighing region, an axle recognizer recognizes the number of axles of the vehicle, and a camera device recordsthe driving process of the vehicle; refined simulation and data twinning are carried out through a road-vehicle-scale digital twinning system with a multi-scale numerical simulation technology, various parameters capable of being measured by a quartz weighing sensor when a vehicle passes through a weighing area are simulated, a part of data is twined, and the sample capacity is enriched; the collected data and the twinning data are input into a trained dynamic weighing correction system based on the deep neural network to be corrected, finally, the dynamic vehicle weight is output and compared with the latest 'highway freight vehicle overrun overload identification standard', and whether the vehicle is overweight or not is judged.

A thermal displacement compensation system detects a state quantity indicating a state of an operation of a machine, infers a thermal displacement compensation amount of the machine from the detected state quantity, and performs a thermal displacement compensation of the machine based on the inferred thermal displacement compensation amount, of the machine. The thermal displacement compensation system generates a learning model by machine learning that uses a feature quantity and stores the generated learning model in association with a combination of specified conditions of the operation of the machine.

The present disclosure provides, according to some embodiments, methods and systems for treatment or prevention of ventricular symptoms of atrial fibrillation. For example, methods for applying sub-threshold electric fields to Av node and associated tissue, for example, from inside a coronary sinus.

The invention discloses an expressway sight distance detection method based on laser radar. The expressway sight distance detection method based on the laser radar comprises the following steps that firstly, a road safety sight distance threshold value L<s> is set; parameters of the laser radar to be used are set; then, the laser radar to be used is mounted at the top of a detection vehicle at a height h<0> from the ground, so that the scanning range of the laser radar meets the following requirements that L<max>= h<0>. tan alpha <max>> l<s>; then, the position of the laser radar is taken as the origin, a spherical coordinate system and a three-dimensional rectangular coordinate system are established; finally, the detection vehicle is driven on a detected road, and the laser radar is rotated for scanning to acquire acquisition points on a guardrail in front of the vehicle, and the guardrail length L<0> scanned by the laser radar and the guardrail length L between the vehicle and a characteristic point at the farthest distance are calculated; if L is lean than L<s>, the real sight distance value of the detected road is L; and if L is greater than or equal to L<s>, L<s> is the realsight distance value of the detected road. According to the expressway sight distance detection method based on the laser radar, measurement is convenient and accurate, and the defects of a traditional sight distance detection method in the aspects of accuracy, timeliness and dynamic distance measurement can be effectively overcome.

The invention provides a turntable error identification and compensation method for a cylindrical coordinate measuring machine. The method comprises the steps that a turntable coordinate system is established in the center of the turntable, six geometric errors are identified through a rotary shaft calibration device, a laser interferometer and a ball rod instrument according to a turntable geometric error transformation matrix, and the operation process is as follows: when the turntable coordinate system is established in the center of the turntable and the turntable rotates for an angle, thecorresponding turntable geometric error transformation matrix is obtained; six geometric errors of the turntable of the cylindrical coordinate measuring machine are identified in two steps: a) a rotary shaft calibration device and a laser interferometer are matched for use to identify error terms; and b) the other five geometric errors are identified by adopting five attitudes of the installationpositions of the ball rod instruments at two heights, and six geometric errors corresponding to any rotation angle by utilizing linear interpolation is obtained after a discrete angle six geometric error table is obtained through the above two steps, so that the operation difficulty is reduced.