152results about How to "Real-time output" patented technology

The invention relates to a horizontal well logging technology with a continuous tube and a device thereof. The technology uses a high-strength and high-tenacity continuous tube as tools to convey down-hole logging instruments so as to ensure that the down-hole instruments perform tests under various horizontal wells. The adopted device comprises a continuous tubing unit, the continuous tube, a wellhead device, connecting joints between the continuous tubes and the down-hole instruments, down-hole logging instruments and tools for the horizontal wellbore, a ground numerical control logging system, a depth system of the continuous tube and a signal transmission system of the continuous tube. The invention can ensure the down-hole instruments to perform tests under various horizontal holes by using the continuous tube as the conveyance tool of the down-hole instruments; the technology uses few application equipment and has the advantages of good maneuverability, convenient operation and high construction efficiency thanks to the application of continuous tubing unit and other special devices.

The invention discloses a distributed coal-rock dynamic disaster potential real-time monitoring method and system. A plurality of monitoring electrodes are distributed on the surface of a coal-rock gangway or distributed into a drill hole. A potential monitor continuously collects potential signal differences in real time, wherein the potential signal differences are generated by loads of a coal-rock mass. According to distribution and changes of the potential signal differences, the mode that area critical values and dynamic tendency are combined is adopted to conduct real-time early warning on coal-rock dynamic disaster risks and risk areas. According to the distributed coal-rock dynamic disaster potential real-time monitoring method and system, the loads of the coal-rock mass, the deformation breakage degree, the dynamic disaster risk distribution and evolution situations are reflected through distributed monitored potential signals, and the distributed coal-rock dynamic disaster potential real-time monitoring method and system have the advantages of being good in real-time performance and responsiveness, high in anti-jamming capacity and automation degree, higher in practicability and convenient to install.

The invention discloses an image registration method and an image registration device. The image registration method includes acquiring a second group of feature points of thermal imaging images; subjecting the second group of feature points to registering change to acquire a third group of feature points, wherein the registering change is based on registration parameters acquired in advance, an image acquiring device of visible images, under each focal length, has a registration parameter corresponding to the focal length, and the corresponding registration parameter under each focal length is determined according to the linear relation between the registration parameters and the focal lengths; determining a fourth group of feature points, same as feature points of the visible images in position, in the third group of the feature points; after determining the registration parameters according to the fourth group of feature points, registering the visible images and the thermal imagingimages according to the registration parameters. By the image registration method and the image registration device, real-time registration of the invisible images and the thermal imaging images canbe realized during focal length change of a visible light camera, and the visible images and thermal-imaging blended images can be output in real time.

The invention discloses a method and device for adding punctuation in voice recognition, a computer device and a storage medium. The method comprises: performing voice recognition on an acquired to-be-recognized voice, synchronously detecting a mute segment in the to-be-recognized voice, and determining whether the time length of the mute segment exceeds a first time length; if so, outputting a text sequence before the mute segment, and inserting a comma or period into a corresponding position in the text sequence according to the time length of the mute segment; performing voice recognition on the acquired to-be-recognized voice after the mute segment, and correcting the comma or period inserted into the text sequence according to a preset discrimination model. The method and device are used for improving the output efficiency and the accuracy of the punctuation in voice recognition, so as to achieve a purpose of improving voice recognition efficiency, accurately breaking sentences and accurately expressing emotions.

The invention provides an abnormal behavior detection method and system based on a human skeleton, and a medium, and the method comprises the steps: S1, building a training video sample database, andbuilding an original video database with a preset frame length according to a public violent behavior database; s2, according to the obtained original video database, extracting human body skeletons in all video samples in the original database by utilizing an open-source attitude estimation algorithm OpenPose to obtain a skeleton video database; s3, deframing all the obtained video samples in theskeleton video database into a skeleton picture stream by using an FFmpeg tool to obtain a skeleton picture stream; S4, sequentially inputting the obtained skeleton picture streams into a 3D-DenseNetnetwork model for training, so as to obtain a trained 3D-DenseNet network model. The human skeleton and the 3D-DenseNet are used for abnormal behavior detection for the first time, the detection accuracy is high, the robustness is high, and the detection result can be output and updated in real time.

The utility model belongs to an image shooting field and provides a multi-scene image pick-up device, comprising a plurality of image sensing modules aiming at different angles and simultaneous image shooting, a complex image processing module for composing a plurality of images collected by various image sensing modules in real time and sending the images out, and an integral sequential control module for generating sequence signals required by the image sensing modules and the complex image processing module. The image pick-up device in the utility model can shoot images simultaneously with a plurality of image sensing modules aiming at scenes in different angles; carry out sequential control with the complex sequential control module, and then compose the images in different angles through the complex image processing module before real-time output. Therefore, the image shooting device has advantages of simple circuit structure and low cost. Moreover, the image shooting device can simultaneously shoot images at different angles, hence wider field range of vision and real-time output effect.

The invention discloses a high-precision target positioning and speed measurement method based on a photoelectric platform of an unmanned aerial vehicle. The high-precision target positioning and speed measurement method provided by the invention includes the following steps: first, an azimuth error and a high-low angle error of the photoelectric platform are estimated according to a stationary cooperative target, after estimated values of the azimuth error and the high-low angle error of the photoelectric platform are stabilized, the stabilized estimated values of the azimuth error and high-low angle error of the photoelectric platform are utilized as the azimuth error and the high-low angle error of the photoelectric platform, and then compensation is performed on the azimuth error and the high-low angle error of the photoelectric platform in real time during a positioning and speed measurement process, and a high precision target position and speed information are output.

The invention provides a residual moment measuring device and method of an inertial device based on three-dimensional air flotation, belonging to the technical field of detection. An on-stage system and an under-stage system in the device are connected through a wireless transmission system; the under-stage system comprises an under-stage data collecting and processing system, a server, a cabinetbox and an air supply system; the on-stage system comprises a power supply system, an inertial execution mechanism control system, an inertial execution mechanism to-be-tested product, an on-stage data collecting and processing system, a residual moment test system, a vibration isolating and supporting system, and a vacuum control system, the residual moment test system consists of an air flotation rotary table, a high-precision sensor device and an anti-overturning and protective device, and the high-precision sensor device is separately arranged in a vertical direction of the air flotation rotary table and in a horizontal direction outside the air flotation rotary table. The device can simulate orbit work of a satellite platform, provides a simulated spatial mechanical environment, outputs residual moment in real time, can be used for directly measuring multiple inertial devices, is low in calculation amount, and has high precision.

The invention discloses an outdoor multimedia full-automatic floor sweeping robot, including an outdoor navigation system, a cleaning system and a multimedia system. the outdoor navigation system, thecleaning system and the multimedia system are controlled by the master controller, the outdoor navigation system includes a drop prevention sensor, Video and Sound Monitoring Module, RTK GNSS receivemodule, Wireless communication modules and lidar, drop sensor, video and sound monitoring module, The RTK GNSS receiving module, the wireless communication module and the laser radar are all connected on the master controller. The invention realizes the geographic position coordinates of the cleaning robot point through the independently developed RTK and the laser radar data fusion algorithm andcomplementary filtering, and accurately constructs the precise three-dimensional scene map, which has stronger robustness.

The invention discloses a wave height recorder and accelerometer double-purpose calibration device. The device comprises an intelligent combined unit 1, a working table 2, a wave height reorder 3, a rotary bracket 4, a rotary spindle 5, an accelerator 6, a control box 7, an adjusting screw 8, a frame 9, a servo motor 10, an encoder 11 and a water cylinder 12, wherein the working table is in a vertical state when the rotary bracket 4 is rotated to a vertical position to be mounted by means of the rotary spindle 5, the wave height recorder mounted on the working table does reciprocating motion up and down, and the lower part of the working table is provided with the water cylinder for simulating seawater level so as to calibrate the wave height recorder; the working table is in a horizontal state when the rotary bracket 4 is rotated to a horizontal position to be mounted by means of the rotary spindle 5, and the accelerometer does horizontal reciprocating motion to calibrate the accelerometer; a control system controls a rotation speed and reciprocating convolution of a servo motor photoelectric encoder of the intelligent combined unit and controls the frequency and the amplitude of the calibration device; and compared with corresponding values of the wave height recorder and the accelerometer, the value achieves higher calibration accuracy.

The invention discloses a concrete construction nondestructive testing method based on a geomagnetic pulsation technology. The concrete construction nondestructive testing method is characterized by comprising the following steps of: (1) arranging a pulsation signal detecting and processing system; (2) mounting a three-way pulsation sensor at one part with a good lining integrity; transmitting a collected pulsation signal to a data analysis processor by a pulsation signal demodulator; and using the received data as a reference data by using the data analysis processor; and (3) mounting a three-way pulsation senor at one part needing to be detected; transmitting a collected pulsation data to a data analysis processor by a pulsation signal demodulator; comparing and analyzing the received data and the reference data by using the data analysis processor; and judging the lining integrity according to a result. The concrete construction nondestructive testing method disclosed by the invention has the advantages of high accuracy of the collected signal, capability of collecting the three-way pulsation signal, no need of providing seismic source by using a natural oscillation pulsation signal of the lining as well as capability of being widely applied to health detection of concrete constructions, such as tunnels, water and electricity, slope protection and the like.

The embodiment of the invention provides a moving target detection method, detection device, and a mobile detection system, so that a problem that target echo signals that are detected by the existing mobile detection system during moving target detection include echo signals of fixed targets and thus lots of false alarm targets are generated in the prior art is solved. The method comprises: while a mobile carrier moves, attitude measurement of auxiliary equipment as well as moving speed compensation information obtained and transmitted by a navigation system is received; on the basis of the moving speed compensation information, a corresponding Doppler frequency deviation value of movement, relative to a target, of the mobile carrier is obtained; and according to the Doppler frequency deviation value of movement, relative to the target, of the mobile carrier, a detected target echo signal is compensated, an echo signal of a fixed target in the target echo signal is suppressed, and a Doppler frequency deviation value of the moving target is obtained, thereby obtaining accurate moving target detection distance information and radial speed information.

The invention discloses a deep learning method and system based on text implication identification of law and regulation and judicial explanation accurate matching and contradiction detection. A lawsand regulations or judicial explanation text is input, and the associated laws and regulations or judicial explanation text and the laws and regulations or judicial explanation text having content conflicts with the laws and regulations or judicial explanation text can be accurately matched in the data. By utilizing a text implication identification technology and a deep learning network, the input laws and regulations or judicial interpretation texts and laws and regulations or judicial interpretation texts in a database are subjected to accurate matching and contradiction detection, and a plurality of most relevant laws and regulations or judicial interpretation texts or a plurality of most relevant content conflicting laws and regulations or judicial interpretation texts are output. Theblank in the aspects of law and regulation and judicial interpretation text automatic matching tasks and law and regulation and judicial interpretation text conflict content detection tasks based ona deep learning network is filled.

The invention relates to a power grid real-time adaptive decision-making method based on deep reinforcement learning. The method comprises the following steps: step 1, modeling a novel power system unit adaptive scheduling problem as a Markov decision-making process; 2, researching the basic principle of an SAC algorithm, and solving a strategy enabling the accumulated reward value of the MDP model in the step 1 to be maximum; step 3, designing a neural network pre-training scheme based on behavior cloning in the IL, simulating expert experience, optimizing an original action space, proposing an IL-SAC algorithm, training a corresponding power grid optimization scheduling agent based on the IL-SAC algorithm and 105 real power grid scene data, and performing optimization scheduling on the power grid. During testing, the intelligent agent can output a real-time decision scheme in response to different power grid scene data, and intelligent regulation and control of a novel power grid system are realized. The power grid dispatching strategy can be output in real time.

The invention relates to a decision-making behavior generation method and system based on a decision-making tree, and the method comprises the steps: S1, carrying out the feature extraction from customer information, and obtaining an available index for the application of the decision-making tree; Ss2, forming a father/child relationship among all the single nodes according to the types, node codes and input/output parameters of all the single nodes in the decision tree; Ss3, performing condition configuration on each node to obtain a decision path, and performing verification to obtain a decision tree; Ss4, performing batch pre-running on the decision tree to obtain a decision tree batch pre-running result, and verifying the batch pre-running result to obtain an available decision tree; Ss5, configuring the batch running starting point of the available decision tree to obtain a decision tree batch running task and a decision tree version; and S6, performing batch running tasks throughthe decision tree of the system application to obtain decision behaviors which can be executed immediately. According to the method, tThe decision tree can be efficiently constructed, dynamic real-time positioning of clients can be realized, decision actions are timely output, and timely execution of client decision behaviors is effectively realized.

The invention provides a vehicle real-time tracking method and a computer readable storage medium, and the method comprises the steps: obtaining an image of each camera in a plurality of preset cameras, and obtaining a license plate region and license plate number information of a license plate of each vehicle in the image; performing coordinate conversion on the license plate region to obtain a first position of the vehicle in a world coordinate system; obtaining a second position of the vehicle in the real world through cooperative positioning of the plurality of cameras; and performing multi-camera cooperative tracking on the vehicle in real time based on the second position. By performing multi-camera cooperative positioning on the originally independent cameras, a more accurate vehicle position is obtained, so that multi-camera cooperative tracking is realized, and vehicle information is acquired in real time.