569 results about "Microwave radar" patented technology

The invention discloses a vehicle collision-proof early warning device, which is mainly and technically characterized in that the vehicle collision-proof early warning device comprises an image acquisition module, an image processing module, a millimeter microwave radar speed and distance measuring device, an ultrasonic sensor, a speed sensor, a brake sensor, an accelerator sensor, a steering sensor, a single-chip microcomputer and an early warning device, wherein the image acquisition module is used for acquiring information at the front of a vehicle and transmitting the information to the image processing module, the image processing module processes the information and then transmits the information to the single-chip microcomputer, the millimeter microwave radar speed and distance measuring device simultaneously transmits measured relative distance and relative speed between an ahead vehicle and the vehicle on which the vehicle collision-proof early warning device is installed to the single-chip microcomputer, the ultrasonic sensor transmits the measured speed of the vehicle on which the vehicle collision-proof early warning device is installed, the single-chip microcomputer processes the image information and the distance and speed data and then judges whether the vehicle is in a warning critical state or not, and finally a result processed by the single-chip microcomputer is displayed through the early warning device. The vehicle collision-proof early warning device has the advantages that the false warning rate of the early warning device is effectively reduced, the accidents such as rear-end collision are reduced and the transport efficiency is improved.

Acoustic emissions are detected by reflecting microwave radar signals off of an object, receiving reflected radar signals, generating an intermediate frequency, and filtering the intermediate frequency to remove low frequency signals associated with object movement and not acoustic emissions. A microwave Doppler radar detector provides the signals, a band-pass filter filters the intermediate frequency signal, and resulting signal is collected and analyzed to establish a relationship between the acoustic emission and the filtered signal. One application described is detecting tool wear using a microwave Doppler-based acoustic emission sensor and predicting tool wear based on the detected acoustic emission.

The invention relates to the radar technology, in particular to the hidden target detection and recognition technology. The invention discloses a method for detecting a hidden living target by utilizing the radar technology and a detection device. The hidden target detection device of the invention is composed of a microwave radar, and is characterized in that the microwave radar has two different modes: a moving target detection mode and a life sign detection mode. The method and the detection device have the advantages that the detection and the positioning of the hidden target are carried out by utilizing the penetrability of the microwave. The accurate detection of the motion state of the hidden target can be carried out, the detection and the recognition of the life signs of a static target can also be carried out, thereby being able to be widely applied in fight against terrorism, disaster relief and other fields.

The invention discloses a traffic flow detection system based on millimeter-wave radar and a detection method thereof, belonging to the technical field of road traffic states. According to the systemand the method, the problems of the traffic flow missing detection of a traditional coil, terrestrial magnetism and a video detector and the low detection accuracy rate of traditional microwave radarin a relatively low vehicle speed are solved. The system comprises a millimeter-wave radar detector, an MCU control unit and a central system unit which are bridged above a detection road. According to the system, the track recognition and numbering of vehicles can be realized, the scheme is deployed on this basis according to different road-section scenes and the millimeter-wave radar detector, and a method for calculating traffic flow and road-section flow of a single detector based on track data is disclosed; the method is simple and is not tedious, the state of road traffic flow can be accurately distinguished, the accuracy rate can reach 95% or above, the refined road basic traffic data support is provided for the traffic management and control, and the method has important significances on the improvement of the traffic control effect and the traffic management efficiency.

The invention discloses a Doppler radar-based non-contact type vibration measuring method. The method includes the following steps: S1. directly facing a measured vibration object to emit single-frequency microwaves in the form of continuous waves, and receiving radar echoes after modulation by vibration motion; S2. performing amplifying, filtering and quadrature mixing on echo signals and taking down conversion signals to obtain two paths of baseband signals I(t) and Q(t); S3. performing data collection on the baseband signals to obtain discrete digital signals; and S4. performing phase demodulation processing on the discrete baseband signal I[n] and Q[n], and extracting vibration amplitude and frequency information. The Doppler radar-based non-contact type vibration measuring method provided by the invention uses a microwave radar to perform non-contact type vibration measurement based on a Doppler effect, has good low frequency measurement sensitivity, is high in environmental adaptation, and can perform accurate vibration measurement under the condition of containing a barrier. The microwave radar used by the method is compact in structure and low in cost and has relatively low power consumption, thereby providing a solution to integration of a large-scale vibration measuring system.

A system and a method are provided for estimating the average dielectric properties of a plurality of regions in space. The application of this technique is illustrated for determining the average properties of breast tissue. The knowledge of average properties is important when UWB microwave radar signal processing algorithms are used for tumor detection and localization. The method is an extension of a time-domain inverse scattering algorithm based on the finite-difference time-domain method. A hybrid conjugate gradient optimization is used to minimize a cost function defined between a measured and a calculated total electromagnetic field at a series of antennas. The output of the method is an average set of electromagnetic material parameters that describe specific regions of interest in either a non-dispersive heterogeneous medium or a dispersive heterogeneous medium.

Selectively mobile system and method detect and locate information to determine repair or replacement needs for bridge and roadway infrastructure by detection of subsurface defects. Multiple sensors collect data to be fused include 1) Visual capture device or devices (16) aboard a mobile carrier (10) capture visual spectrum in either HD or regular video and/or as still frame camera images; 2) Infrared spectrum sensors (18) aboard the mobile carrier capture video or still frame images; 3) Global positioning sensors (GPS) (12) aboard the mobile carrier determine position; 4) Light detection and ranging system (LIDAR) aboard the mobile carrier gives precise locations. Further, 5) ground penetrating microwave radar (GPR) sensors carried by a vehicle (22) and related electronics determine depth of subsurface defects. The sensor systems supply data to a digital processor (40) having analysis and graphical information system (GIS) software (44) that fuses the data and presents it for delivery and use.

The invention discloses a multi-target displacement high-accuracy measurement method and system based on microwave radar. The frequency measurement technology of frequency modulation continuous wave radar and the phase measurement technology of single-frequency continuous wave interferometer radar are fused together through the specific system structural design, and multi-target recognition and high-accuracy displacement measurement are achieved at the same time according to frequency estimation and phase measurement respectively. The FMCW radar and the CW radar are fused together, so that the advantage of multi-target recognition of the FMCW radar and the advantage of high-accuracy measurement of the CW radar are achieved at the same time; compared with FMCW/CW radar in a software configuration mode, mode switches are not needed for measurement, waveform modulation and other additional operation with special requirements are not needed, and multi-target displacement high-accuracy measurement can be finished in real time at the same time.

The invention discloses a control method for an air conditioner. The control method for the air conditioner comprises the following steps of S1 obtaining position information of a user through a microwave radar; S2 obtaining the indoor environment temperature; S3 controlling the wind direction and the wind speed of the air conditioner according to the obtained position information of the user and the indoor environment temperature. The control method for the air conditioner can automatically adjust the wind direction and the wind speed of the air conditioner according to the user position information obtained through the microwave radar and increases the user comfort. The invention also discloses the air conditioner.

The invention provides a gesture recognition control method and device for an intelligent household appliance, and a storage medium and equipment. The method comprises: to monitor whether a user gesture exists in a designated area; when the user gesture exists in the designated area, a microwave radar sensor is started, and a radar echo signal, reflected by the user gesture, of the microwave radarsensor and a gesture distance between the microwave radar sensor and the user gesture are obtained; to recognize gesture actions and gesture action changes of the user gestures according to the radarecho signals and the gesture distances; to generate a corresponding control instruction according to the recognized gesture action and the gesture action change, and to execute the control instruction to realize intelligent household appliance control. According to the invention, while the power consumption is reduced, the radiation damage to the human body is reduced. The gesture recognition speed and the recognition accuracy are effectively improved, and the precise control of the intelligent household electrical appliance is realized.

The invention belongs to the technical field of unmanned driving and discloses a multi-sensor fusion all-weather fast unmanned vehicle detection and obstacle avoidance system. The system comprises a control system, a vehicle roof lidar, a vehicle-mounted monocular visual camera forward detection microwave radar group, a rear detection microwave radar, a forward lidar group and a rear lidar group.The control system comprises an upper computer and a lower computer. The system has the advantages of a low price, relatively high cost performance and high practicality.

The invention discloses a railway line foreign substance detection method and system based on radar and high-definition image analysis. In the method, the advantage that a microwave radar senses a moving object in real time is fully utilized, a real-time high-definition video stream of the moving object is acquired by use of high-definition video equipment; then the moving object is analyzed in combination with the advantage and the real-time high-definition video stream so as to judge whether the moving object is an foreign substance object needing to be warned. Warning in different grades can be performed for sizes and types of different foreign substance objects so as to improve the detection precision and the response speed for an invasive foreign substance. Compared with the prior art, according to the railway line foreign substance detection method and system based on radar and high-definition image analysis, the effect that the invasive foreign substance in a railway line is accurately sensed and warned in real time can be implemented, the omission detection rate and the false alarm rate are effectively reduced, a major accident caused by invasion of the foreign substance isavoided, and the method and the system have good application prospects in the field of railway line safety.

The invention discloses a microwave radar type automobile anti-collision early warning system. The microwave radar type automobile anti-collision early warning system mainly comprises a signal collecting system, a data processing system and a display terminal. The signal collecting system comprises a radar sensor, a triangular wave modulation module and an echo analog signal preprocessing module. The signal collecting system is installed at the front end of an automobile and is connected with a digital signal processing module through a line, wherein the digital signal processing module is also installed at the front end of the automobile. The display terminal comprises an LCD display module and a voice alarm module which are installed in the automobile and are connected through a wireless transmission module. The microwave radar type automobile anti-collision early warning system has the advantages of being economical, practical, easy to achieve and the like, and can quickly and accurately detect front vehicle information and find dangerous targets and give an alarm in real time to guarantee safe running.

The invention relates to a microwave radar moisture sensor, in particular to a contact/non-contact medium continuous or point sensing type microwave radar moisture sensor. The microwave radar moisture sensor comprises a probe, a signal channel, a signal processor (DSP), a TPS interface, a microprocessor (MCU), an I2C interface and a driving interface, wherein the output port of the probe is provided with an antenna, and the antenna can be provided with a holder and a filter scraper; the signal processor (DSP) and the microprocessor (MCU) are managed by respective software respectively; a pre-detected signal is connected with the driving interface through the probe, the signal channel, the signal processor, the TPS interface and the microprocessor (MCU); in addition, the probe, a polarization separator and a signal transceiver form a loop; and the antenna is arranged on one side or two sides of a detection medium. Because the microwave radar moisture sensor belongs to a multi-sensor system, correlated variables of the sensor are provided with enough interfaces, and other probes for temperature and electric conductivity can be connected with the signal processor through the I2C so as to finish moisture parameter correction.

The invention provides an automobile safe driving auxiliary detection system and method. The automobile safe driving auxiliary detection system comprises a plurality of microwave radar sensors, a digital signal processor, a display system, a control circuit and a plurality of image sensors; each image sensor is driven by a driving motor to change in view angle direction; wherein, each microwave radar sensor monitors such data as positions of barriers within a certain range surrounding a vehicle and speeds of nearby vehicles in real time; by means of control of the digital signal processor on the driving motor and the control circuit, images acquired by the image sensors are displayed through the display system. According to the automobile safe driving auxiliary detection system and method, the view angles of the image sensors are controlled according to the position information of barriers monitored by the microwave radar sensors, such that a view angle range of one individual image sensor is maximized and a surrounding dead zone of a vehicle can be displayed by means of the fewest cameras; more receiving antenna channels may be simulated by means of a relationship of different transmitting antennas, and therefore, the resolution of angle measurement is higher without causing remarkable increase of the circuit cost.

The invention relates to the technical field of information, in particular to an illumination lamp based on a microwave radar gesture recognition technology and a control method of the illumination lamp. The illumination lamp comprises a signal transceiving module, a gesture recognition module and a control module, and the signal transceiving module is used for periodically transmitting a microwave radar signal to a preset range and receiving a radar echo signal reflected by the hand; the gesture recognition module is connected with the signal transceiving module and is used for recognizing agesture motion and the gesture motion change of the hand according to the radar echo signal and generating a recognition signal corresponding to the gesture motion and the gesture motion change; the control module is connected with the gesture recognition module and is used for forming a control signal which corresponds to the recognition signal and is used for controlling illumination current according to the recognition signal generated by the gesture recognition module to adjust on and off and the brightness state of the illumination lamp. The illumination lamp is high in sensitivity, convenient to control and low in cost.

A rendezvous and docking microwave radar angle measuring performance system error calibration system and a method are disclosed. The calibration system comprises an attitude position adjustment system, a microwave radar measurement system, an external conformance calibration system, and a measurement data acquisition system. The calibration method comprises the following steps: (1) building and preheating a laser tracker; (2) installing a microwave radar antenna and calibrating geometric parameters; (3) acquiring grid-style test data in the full field of microwave radar; and (4) calculating and binding radar angle measuring performance system error. The angle measuring performance system error in the full field of microwave radar can be calibrated, and angle measuring performance calibration under a target large-angle working condition is no longer limited by site factors and the ability of external conformance equipment. After initial geometric parameter calibration, full-automatic calibration work can be carried out. The calibration process is simple and reliable.

The present invention belongs to the information technological field and relates to a microwave radar technology-based gesture recognition device and gesture recognition method. The gesture recognition device comprises a signal transmitting-receiving module, a data processing module and a gesture recognition module; the signal transmitting-receiving module is used for periodically transmitting microwave radar signals to a preset range, and receiving radar echo signals reflected by hands; the data processing module is connected with the signal transmitting-receiving module and is used for acquiring the feature information of gestures according to the radar echo signals; and the gesture recognition module is connected with the data processing module and is used for identifying the gestures according to the feature information acquired by the data processing module. With the above gesture recognition device and gesture recognition method adopted, the defects of existing gesture recognition can be eliminated, and a more natural and intelligent interaction mode can be realized.

The invention provides a laser radar system for tracking and identifying a low, small and slow object based on the laser micro-Doppler effect, belongs to the field of laser radar detection, and aims at solving the problem that a present micro-Doppler microwave radar is interfered by ground clutters seriously. A laser source module outputs relatively strong signal light and relatively weak local oscillation light, a frequency shift modulation module carries out frequency shift on the signal light, and the signal light after frequency shift is input to a heterodyne detection module; the heterodyne detection module uses the signal light after frequency shift to scan a target area and obtains a target echo; beam combination is carried out on the target echo and the local oscillation light, the light after beam combination is detected, an intermediate-frequency signal is collected and processed, signal spectral distribution including target motion and micro-motion information is obtained, whether an object is the low, small and slow object is determined, and if YES, the speed and distance of the object are obtained; and the object is tracked according to the obtained speed and distance of the object.

The invention relates to an emergency anti-collision prewarning system when a driver runs a red light, which comprises a machine case (11) and a case body back panel (17), wherein a computer information processor (3) with an input end and an output end is arranged in the machine case (11), and a monitoring camera (1), a microwave radar speedometer (2) and an integrated meteorological sensor (4) are connected with the input end, and the output end is connected with a prewarning sound power module (5), a prewarning laser emitting controller (6) and a prewarning signal wireless sharing distributor (8). The emergency anti-collision prewarning system is characterized in that a prewarning speaker (9) is connected with an output end of the prewarning sound power module (5) and a laser (7) is connected with an output end of the prewarning laser emitting controller (6). The invention can be used for timely sending out an anti-collision prewarning signal when a driver runs a red light to the pedestrian and vehicles crossing the green light so that the pedestrian and the vehicles can be more vigilant to quickly take protective measures in order to reduce and prevent traffic accidents and protect lives and vehicle property of people.

The inventive sea ice thickness radar measuring device is a technology for measuring sea coast ice thickness using radar, belonging to the technical filed of marine environment motoring. The measuring device mainly comprises radar, a communication interface, a monitor, a computer, a printer and a data transmission module. In accordance with the characteristic that the electric wave at gas-ice interface and ice-water interface has strong echo wave, the invention uses microwave radar with ultra wide band and narrow pulse width (10-12/s) as detection mean, acquires sea ice thickness information from the raw data of radar echo wave, and realizes acquisition, storage, display, output and print of ice thickness measurement data from radar. The invention realizes non-contact on-site fixed-point real-time measurement, and can detect sea ice with 3-6 cm thickness. In particular, the invention realizes the measurement of thin sea ice with thickness of 3-10 cm.

The invention discloses a monitoring and early warning system for preventing a power transmission line from external force invasion. The system comprises a hardware system and a monitoring center, wherein a precise microwave radar in the hardware system acquires an external force invasion signal of the power transmission line; a fixed camera acquires a video image signal of a monitoring area; the acquired signals are sent to a computer of the monitoring center by wireless communication modules; after the signals are processed by monitoring software, if the external force invasion exists, the monitoring center sends an instruction to allow an audible and visual alarm to work; and monitoring personnel are informed by a short message or a multimedia message, talk in the monitoring center, and remind suspicious personnel to depart from a dangerous area through an output of a talking loudspeaker. The system has the significant characteristics that the external force invasion of the power transmission line can be monitored on line in real time, and the system is stable in working, and rapid and accurate in detection.

The invention discloses an automobile microwave radar anti-collision early-warning method based on video fusion. A radar sensor detects a target in front, a camera acquires video images in front, and the detected target data and the acquired video data are sent to a video fusion and display terminal; and the video fusion and display terminal receives the target data, collision alarming discrimination is performed on the target, video fusing and warning are carried out according to the collision alarming discrimination result, after video fusion, the target image of the video displayed on the display screen is finally marked with the target through different signs in real time, and meanwhile, the target is displayed on an analog lane displayed on the display screen through different signs in real time. The invention also discloses a system for implementing the method. As video and radar data are fused, a user can learn about the road conditions in front; a sound alarm can be given according to the 'dangerous target collision judgment criterion' to prompt a driver that a danger exists in front, so that the misjudgment rate is reduced; and the automobile microwave radar anti-collision early-warning system can be conveniently mounted on an uneven automobile central control platform.

The invention relates to the field of fire rescue, and discloses a fire detection rescuing method and system based on a millimeter-wave radar technology. The method provides a personnel statistics method based on the millimeter-wave radar, a human body target vital sign detection method, a millimeter-wave radar detection technology, a computer storage medium, a smoke detector and a fire rescue system thereof. Through a smoke alarm system awakening end control center, early warning information is sent to a background data center, or a terminal control center is awakened in fixed time, a millimeter microwave signal controls to be emitted through a millimeter microwave signal emission module, then, a reflection echo signal is obtained, the human body target amount and trajectory of a millimeter microwave coverage area can be determined according to echo information, the corresponding data of each human body target is transmitted to the background data center, so that the position and thevital sign of a rescue target can be accurately positioned when fire occurs, a quick and accurate rescue scheme is provided for rescue, life loss is reduced, and the danger coefficient of rescue is lowered.