193results about How to "Expand collection range" patented technology

The invention is suitable for the technical field of vehicles and provides a vehicle data acquisition terminal. The vehicle data acquisition terminal comprises a main control module, an analog quantity acquisition module, a CAN (Controller Area Network) acquisition module and a wireless communication module, wherein the analog quantity acquisition module, the CAN acquisition module and the wireless communication module are respectively connected with the main control module; the main control module is used for controlling the analog quantity acquisition module, the CAN acquisition module and the wireless communication module to work; the analog quantity acquisition module is used for acquiring analog quantity parameter information of a vehicle; the CAN acquisition module is used for acquiring first parameter information of a CAN bus of the vehicle and reading second parameter information in corresponding memories in all controllers of the vehicle through a CCP (CAN Calibration Protocol); and the wireless communication module is used for transmitting the analog quantity parameter information, the first parameter information and/or the second parameter information to a server in a wireless communication way. Accordingly, the invention further provides a vehicle information acquisition system comprising the vehicle data acquisition terminal. Therefore, according to the vehicle data acquisition terminal and the vehicle information acquisition system, the parameter information in the corresponding memories in all the controllers of the vehicle can be acquired through the CCP protocol, so that the information acquisition scope is enlarged.

The invention discloses a road traffic behavior unmanned aerial vehicle monitoring system and method based on deep learning. The system comprises an acquisition module, a single-camera processing module, a cross-camera matching module and a traffic parameter extraction module; and the single-camera processing module creates single-camera processing sub-modules for each path of video output by theacquisition module so as to perform data processing on the video, wherein each single-camera processing sub-module comprises an image preprocessing module, a vehicle detection module and a vehicle tracking module. According to the method, an unmanned aerial vehicle is used for shooting road traffic conditions; and the traffic states of vehicles in a monitoring area are analyzed; and the analysis involves the calibration of monitoring pictures, a video-based vehicle detection and tracking technology, a geographic position-based cross-camera multi-target trajectory matching method, an algorithmfor analyzing traffic states according to vehicle motion trajectories and the like.

The invention discloses a non-contact spatial displacement measurement device. The non-contact spatial displacement measurement device comprises a laser range finder arranged on the reference point, an imaging transmitting plate arranged on the monitoring point, an image collection device arranged on the side, with the back to the laser range finder, of the imaging transmitting plate, a drive module and a control module. The imaging transmitting plate is used for receiving light emitted by the laser range finder and forming light spots. The image collection device is used for collecting the light spots formed on the imaging transmitting plate and connected with the drive module, and the drive module is connected with the control module. The non-contact spatial displacement measurement device is large in measuring range, high in measurement accuracy, small in power consumption and capable of measuring prostration and hypsokinesis from front to back and forward and reverse rotation deformation, relative to a laser device, of a position sensor, solves the problems in the prior art and can be widely used for monitoring deformation of engineering buildings under the condition of geological disasters, and the measuring range is convenient to adjust.

The invention relates to the technical field of computer vision recognition processing and provides an educational toy suite. The educational toy suite comprises a support, a helmet detector and a base plate, the support is installed on the base plate, and the helmet detector is installed on the support; a first groove is formed in the upper portion of the base plate; the bottom of the support is provided with a protrusion, the protrusion is installed in the first groove, a second groove and a third groove are formed in the top of the support, and the second groove is used for storing a tablet computer; the helmet detector is installed in the third groove. By means of the educational toy suite, the image acquisition scope of a camera of the tablet computer is expanded, the visual angle is enlarged, great interactivity is achieved, game experience is more vivid, the educational toy suite is helpful for alleviating asthenopia, harm to eyes is lowered, operational ability of children is improved, the children are promoted to make progress continuously, intelligence is developed, enjoyment is improved, the educational toy suite is more convenient to carry, move, install and detach, the cost is saved, and maintenance is facilitated.

The invention provides a monitoring system for judging a video behavior based on deep learning. The system comprises a monitoring terminal and a server; the monitoring terminal comprises a camera anda front end alarm module; the server comprises a cloud platform video database, an offline video database, a deep learning judgment module and an abnormal event alarm module; the camera is used for collecting video information in real time; the cloud platform video database stores the video information sent by the camera; the offline video database stores the video information for the deep learning judgment module to construct a behavior judgment model; the deep learning judgment module constructs the behavior judgment model according to the videos in the offline video database and judges thereceived video behavior according to the behavior judgment model; the front end alarm module is an alarm light or a horn; the abnormal event alarm mode is an alarm light or a horn; and the deep learning judgment module comprises a feature extraction module, a feature fusing and splicing module, a semantic coding determining modules, a feature decoding modules and a classification alarm module.

The invention provides a mobile video monitoring system. A monitoring server of the system generates an acquisition front-end list according to identifiers and Internet protocol (IP) addresses of mobile acquisition front-ends passing authentication, stores the acquisition front-end list, obtains the IP address of the mobile acquisition front-end passing the authentication according to a real-timepreviewing request, transmits the real-time previewing request, and transmits a packaged real-time transport protocol (RTP) stream and a real-time previewing response to a mobile monitoring terminal passing the authentication according to the IP address of the mobile acquisition front-end; the mobile acquisition front-end passing the authentication acquires an image of a place with the mobile acquisition front-end in real time according to the real-time previewing request, obtains the packaged RTP stream and transmits the RTP stream to the monitoring server; and the mobile monitoring terminalpassing the authentication processes the packaged RTP stream according to the real-time previewing response, and outputs and displays the processed RTP stream. The invention also provides a mobile video monitoring method. By the system and the method, limitations to video image acquisition can be broken through, and the flexibility can be improved.

Systems and methods for wide offset frequency synchronization in OFDM communications. Frequency domain OFDM bursts include training symbols having known transmitted values in known frequency domain positions. Received values at the known training symbol positions are correlated from burst to burst. The magnitudes are used to establish and correct small integer frequency offsets as measured in frequency domain symbol widths. The phase of the correlation result is used to determine and correct integer frequency offsets that exceed the training tone spacing. Use of the phase to correct large frequency offsets greatly extends the acquisition range required for low cost analog components.

The invention discloses intelligent low voltage collection complete equipment and a dual channel collection method of low voltage collection. The intelligent low voltage collection complete equipmentcomprises a cable branch box monitoring unit, a meter box monitoring unit, and a main control unit. After the complete equipment is applied to a low voltage network, (1) power on-off of the meter, meter box, cable branch box, and distribution network of the low voltage network can be precisely positioned in real time, and the results can be automatically reported; (2) the 15 minute voltage, current, power, and value curve of the meter box branch switch side and the user intelligent electric energy meter side are collected high-frequently; and (3) after the accidents of power on-off of each grade, the low voltage collection equipment reports the results to a main station system within one minute. The main station system accurately reports the power off accidents to a power supply service command system in real time, the power supply service command system precisely positions and alarms power off clients in a GIS map, the accuracy and timeliness of maintenance are both improved, inactivemaintenance becomes active maintenance, the maintenance efficiency is improved, and the service quality is improved.

A ship engine room auxiliary machine monitoring system includes a sensing layer, a data acquisition layer, a data analysis layer and an application layer. According to the system, an acquisition system collects operation and state data of auxiliary machine equipment of a ship engine room and simultaneously transmits various real-time data to an engine room monitoring platform, the data is processed and analyzed by adopting a BP neural network algorithm, so that a fault diagnosis method and a model are formed, and the engine room auxiliary machine equipment is subjected to operation state monitoring and analysis, health state monitoring and evaluation, energy efficiency monitoring, scheduling management decision, and the like. Therefore, the operation and maintenance efficiency of the equipment and the comprehensive control level of the engine room can be improved; and the real-time monitoring and fault diagnosis function for the operation state of the ship engine room auxiliary machineequipment, the energy consumption data acquisition and analysis function of major energy consumption equipment, and the real-time monitoring function for the energy efficiency and energy consumptionof the major energy consumption equipment can be achieved.

The invention relates to an entrance guard with a good recognition effect and based on a face recognition technology. The entrance guard comprises a main body and a gate, and further comprises an adjusting mechanism and a sweeping mechanism; the adjusting mechanism comprises a moving assembly, a lifting assembly and a swinging assembly; and the sweeping mechanism comprises a reciprocating assemblyand a sweeping assembly. In the entrance guard with the good recognition effect and based on the face recognition technology, the face collecting range is expanded through the adjusting mechanism, sothat the recognition effect is better, the precision of face recognition is improved, the situations of leakage scanning and missing scanning are prevented, thus the phenomena of fare evasion and ticket leaking are avoided, and a camera can be stored in the main body to realize a protecting effect; and through the sweeping mechanism, the camera can be kept clean before and after being used, the sharpness of faces collected by the camera is improved, thus the face recognition effect is improved, the entrance guard working efficiency is improved, and the availability and reliability of the entrance guard are improved accordingly.

The embodiment of the invention relates to a message processing method, device and system. The method includes the steps that a terminal device obtains a user identifier of a terminal user and sends the user identifier to a system device, the system device obtains social media data corresponding to the user identifier, contextual messages in the social media data are extracted and clustered, and a user attribute model is obtained after clustering is carried out; the terminal device receives the user attribute model of the terminal user and a message reply model from the system device, and determines user attributes of all contacts of the terminal user according to the user attribute model; when a to-be-replied message sent by one contact is received, contextual messages of the to-be-replied message are extracted, a reply message is generated according to the contextual messages of the to-be-replied message, the user attributes of the contacts and the message reply model, and the reply message is sent to the corresponding contact. Thus, the message processing method, device and system achieve automatic message reply with user language preferences and styles.

The invention belongs to the technical field of urban rail transit intelligent management. The real-time prediction method for the passenger flow volume of the rail transit subway station comprises the steps that the duration between the train departure moment before two adjacent trains of the subway station and the moment after the next train leaves the station for a period of time serves as a statistical period, and a certain peak time period of a current characteristic day is divided into N statistical periods; calculating the WiFi passenger flow Xt-1 of the whole subway station and the video passenger flow density of each congestion point area j in the last statistical period of the current characteristic day; wiFi passenger flow Xt-1 of a subway whole station and video passenger flowdensity of each congestion point area j in a previous statistical period of the current characteristic day are used as input; predicting the actual passenger flow Yt of the whole subway station in thecurrent statistical period of the current characteristic day in real time, thereby completing the real-time prediction of the passenger flow of the whole subway station in the current statistical period of the current characteristic day; and repeating the above steps to complete real-time prediction of the subway total station passenger flow volume in N statistical periods in a peak period.

The invention discloses a multisource traffic information fusion method for expressways. By fusion of traffic information of roads with detectors, more complete and accurate traffic information can be acquired; by fusion of the data of the roads with the detectors and the historical data, the traffic information of the roads without detectors can be predicted, and the traffic information of the integral roads can be obtained. The multisource traffic information fusion method includes steps of partitioning expressway road units, preprocessing traffic information data, and fusing inside-unit multisource traffic information and inter-unit traffic information. By fusing the traffic information acquired by various methods effectively, information types can be increased, data acquisition range is broadened, cost performance, accuracy and reliability of information acquisition can be effectively improved, and judgement and policy making error caused by failure of single information source is avoided.

The present invention discloses a carrier frequency acquisition method and apparatus in which the structure of a transmission frame includes a short training sequence, the method including: delaying a received short training sequence by L sampling points and multiplying the delayed short training sequence with the original short training sequence to obtain a new sequence; delaying the new sequence by D sampling points and conjugate multiplying the delayed new sequence with the original new sequence; accumulating the results of the conjugate multiplication; and evaluating a phase from the result of the accumulation to estimate carrier frequency offset. With the above method, the present invention is capable of greatly improving the acquisition range of carrier frequency offset while requiring a simple set of hardware.

The present invention discloses a voice control system based on a voice mouse. The system comprises a voice mouse and a local computer that are connected by means of a USB bus; the voice mouse comprises a voice acquisition module, a switch control module, a data pre-processing module and a mouse USB interface; and the local computer comprises a computer USB interface, a local voice recognition engine, a local command thesaurus, a command execution module, an automatic screen-reading module, a voice synthesis module and a voice playback module. The voice control system provided by the present invention controls the operating mode of the system by means of the switch control module, acquires a user manual operation command by means of the mouse control module, acquires a user voice command by means of the voice acquisition module, identifies the voice data by using the local voice recognition engine to realize voice control, and automatically reads operating information of a current screen by means of the automatic screen reading module to carry out voice broadcasting, so that the system is convenient in operation and high in accuracy, and greatly facilitates computer operation of the blind.

The embodiment of the invention discloses an image obtaining device and method that are used for obtaining complete face images of users with different heights. The image obtaining device comprises a first camera for obtaining a face image and a second camera for obtaining a face image; and the first camera and the second camera are arranged up and down along a vertical direction. In an image acquisition region, a view range of the first camera and a view range of the second camera include a view overlapped region along the vertical direction; and the height of the view overlapped region along the vertical direction is larger than a preset face length. On the basis of cooperation of the cameras, images of faces of users with different heights are obtained easily. Because the height of the view overlapped region is larger than the preset face length, when the overall face or the part of face of the user is located in the view overlapped region, at least one of the first camera and the second camera is capable of obtaining a complete face image, so that the image obtaining device is suitable for users with different heights.

The disclosure relates to a temperature distortion measurement system and method based on a wide-angle lens and image distortion correction, and the system comprises the following parts of a closed experiment cabin provided with a high temperature-resistant observation window and internally fixed with a test piece; an illumination light source for illuminating the surface of the test piece; a wide-angle camera for acquiring an image of the surface of the test piece; a heating device for heating the test piece; a temperature measuring device for measuring single-point temperature of the surfaceof the test piece; and a control terminal for obtaining a deformation field of the surface of the test piece based on the image of the surface of the test piece after distortion correction, and obtaining a temperature field on the surface of the test piece according to the single-point temperature of the surface of the test piece and the image of the surface of the test piece after distortion correction. The wide-angle camera can greatly expand the image acquisition range and obtain more effective experimental data. The distortion correction can greatly reduce the image distortion error and obtain more accurate information of the deformation field and temperature field.

The invention discloses a cascading extended acquisition system and method based on CAN and LoRa and belongs to the extended transmission technology. The technical problem to be solved in the invention is how to improve anti-interference performance of wireless transmission in a mine roadway and CAN bus bandwidth data transmission speed. The adopted technical scheme is characterized in that the system comprises a transmission substation and at least one collector. The transmission substation and the collector as well as the collector and the collector realize data connection and communicationthrough a CAN bus. The collector comprises a master controller, an auxiliary controller, a CAN transceiver 1, a CAN transceiver 2, a Flash storage module and at least one LoRa module. The master controller is connected with the auxiliary controller through a serial port; the master controller is connected with the CAN transceiver 1 and the CAN transceiver 2 through the CAN bus; the master controller is connected with the Flash storage module through SPI; and the auxiliary controller is connected with the LoRa module through a serial port. The invention also discloses the cascading extended acquisition method based on CAN and LoRa.

The embodiment of the present invention discloses an infrared temperature detection device and method. By setting the convex surface of the convex surface reflector facing the electrical equipment to be detected; The mirror image on the mirror convex surface forms a mirror infrared image; the host computer is connected with the infrared camera to receive the mirror infrared image from the infrared camera and send an alarm message according to the mirror infrared image. In the actual temperature detection process, the convex curved reflector can take a 360-degree panoramic view of the surrounding environment, and can simultaneously detect the infrared temperature of multiple electrical equipment, effectively improving the range of infrared image collection and the efficiency of electrical equipment temperature detection; moreover, the upper According to the mirror infrared image collected by the infrared camera, the machine can judge whether the temperature of the power equipment is abnormal in real time. Once an abnormality occurs, it will immediately send an alarm message to notify the technicians to deal with it quickly, with high real-time performance.

The invention discloses a side slope micro-deformation monitoring method and a side slope micro-deformation monitoring system based on similarity determination criterion, wherein the monitoring method includes the following steps: (1) image collection and synchronous uploading: collecting and uploading side slope surface images in a monitored zone, wherein the monitored zone is divided into K to-be-analyzed zones; (2) imaging receiving and synchronous processing: performing synchronous treatment to the received side slope surface images, including: (201) performing side slope surface image treatment at the initial sampling time and calculating the similarity of the side slope surface image at this time; (202) performing side slope surface image treatment at the next sampling time, and calculating the similarity of the side slope surface image at this time; and (203) determining whether the micro-deformation exists or not. The monitoring system includes K digital projectors, K image photographing devices, an image collection device and an image processing device. The method and the system are reasonable in design, are convenient to achieve, are good in use effect, and can be used for performing simple, real-time and accurate monitoring the side slope micro-deformation.

The embodiment of the invention provides an intersection information acquisition method and device, relates to the technical field of communication, and is used for improving the acquisition quality of intersection information. The method comprises the steps: according to road network data of an intersection, determining a target road section with the passing direction facing the intersection in all road sections outside the intersection and all drivable directions of the target road section; obtaining intersection information corresponding to a target drivable direction in each drivable direction of the target road section; and matching the obtained intersection information to the target road section.

Systems and methods for wide frequency offset synchronization are provided. A synchronization data sequence is encoded onto a series of OFDM frequency domain bursts as interburst phase differences between training symbols included within the successive bursts. The interburst phase differences may also encode system configuration information. This technique may be used in conjunction with other synchronization techniques to greatly extend the frequency acquisition range achievable with low cost analog components.

The invention provides a suction type water sampler and a unit suction type underlying water sampling system, belonging to the technical field of marine monitoring. A main mechanism of the water sampling system is the suction type water sampler; the suction type water sampler comprises a water sample cup, a sampler seat, a sampler cover, a valve rod, a spring, a diaphragm and a valve seat, wherein the diaphragm is pressed between the sampler seat and the sampler cover, so that an upper cavity and a lower cavity are formed; the upper cavity is communicated with a water sampling area by means of a through hole formed in the sampler cover; the lower cavity is communicated with, by means of a water inlet hole formed in the sampler seat, the water sample cup screwed down on the sampler seat, and is communicated with the water sampling area by means of a controllable gap between the valve rod and the valve seat; the valve rod sequentially passes through the sampler cover, the diaphragm, the sampler seat and the valve seat from top to bottom; a spring is installed between the upper end of the valve rod and the sampler cover, and the valve seat is sealed by using the spring to press the valve rod; the valve rod and the diaphragm are pulled to move upwards, the air in the water sample cup is sucked into the lower cavity, and the water in the water sampling area is sucked into the water sample cup, so that water sampling is completed. The suction type water sampler and the unit suction type underlying water sampling system avoid the problem that water samples are easily confused, expand the sampling range of the water samples, and improve the sampling quality of the underlying water samples.

The invention discloses an array type temperature measuring device and a temperature measuring method. The array type temperature measuring device comprises an array type temperature measuring moduleand a parallel processor. The array type temperature measuring module is formed by a plurality of temperature measuring detection elements arranged and combined in an N*M array form. N*M temperature signals collected by N*M temperature measuring detection units are parallel-input into the parallel processor. The parallel processor removes the maximum and minimum extreme values of the N*M temperature signals collected each time, then calculates the average value, and finally, performs weighted averaging on multiple average values to obtain a temperature measured value. The array type temperature measuring module is disposed in an array type lens. The array type lens is composed of a plurality of lens modules arranged and combined in an N*M array form, and each temperature measuring detection element is correspondingly disposed in one lens module. According to the invention, the temperature measurement range can be expanded, the accuracy of temperature measurement is improved, and the range of application is wide.