193 results about "Microwave radar" patented technology

The invention provides a real-time human body detection method and system based on a microwave radar, and is applied to the field of signal data processing. By constructing a sparse reconstruction model and combining multi-dimensional feature decomposition, the method effectively relieves the recognition difficulty caused by target signal aliasing, continuously outputs and receives radar signals, extracts distance, Doppler and angle features, constructs target distribution point clouds in a three-dimensional feature space, further utilizes angle continuity judgment and point cloud density analysis, and improves the recognition accuracy of target distribution point clouds. According to the method, the number and distribution of overlapped targets are accurately estimated, a Kalman filter is introduced for dynamic tracking for a scene in which a continuous area is not formed, continuous separation and pseudo-color image reconstruction of multiple targets are realized, and thus the resolution precision and target positioning capability of a radar in a multi-person close-range aggregation scene are remarkably improved.

The invention discloses a full-aviation life intelligent detection and emergency rescue decision-making method and system. The method comprises the following steps: dividing emergency rescue scene gridding partitions; identifying the disaster degree and the number of affected people; combining an identification result with the gridding partition map to form a red, yellow, blue and green post-disaster gridding partition map; a full-aviation transient electromagnetic method life detector, an optical personnel detection device and a microwave radar life detection device are sequentially adopted to carry out step-by-step detection on the potential affected area, and a final replacement result of red, yellow, blue and green gridding target marking is formed; determining the priority level of ground rescue entering search and rescue according to the gridding partition map and the final replacement result; searching and inputting rescue result information of ground rescue entering search and rescue, and forming box counting statistics of grid information; a rescue decision suggestion is automatically generated according to a box counting statistical result, and efficient cooperation with a ground rescue team is formed; the method can effectively overcome the limitation of a single detection method in complex terrains and extreme environments.

The invention provides a building construction measurement method and system, electronic equipment and a storage medium, and relates to the technical field of building construction measuration.The building construction measurement method comprises the steps that steel structure nodes are shot at multiple angles through image acquisition equipment, and original images are fused to obtain a target image containing a weld joint contour and a bolt spacing; calling a twinning neural network to compare the twinning neural network with geometric features of corresponding nodes of a preset BIM model to obtain weld joint and bolt distance difference information; a phased array microwave radar scans the surface of the component, the distance is measured to form multiple sets of data, a three-dimensional point cloud grid is generated through three-dimensional reconstruction, and the three-dimensional point cloud grid is compared with theoretical coordinates of corresponding nodes of the BIM model to obtain space coordinate deviation; and associating the three types of data to obtain a comprehensive deviation, fusing the point cloud to generate an installation quality evaluation report, collecting data through images and radars, combining a twin neural network and a three-dimensional reconstruction technology, comparing actual characteristics of a steel structure with a BIM model, and integrating deviation information to generate a quality evaluation report, thereby realizing comprehensive measurement and evaluation of construction quality.

The invention belongs to the technical field of road tunnel illumination, and particularly relates to a control method and system for adjusting road tunnel illumination based on dynamic traffic, which comprises the following steps: firstly, acquiring vehicle information through a high-definition camera array, a microwave radar detector and an illumination intensity sensor in a multi-source manner, then preprocessing the multi-source data, and applying an algorithm to adjust the illumination of a road tunnel; traffic flow statistics and trend prediction, vehicle driving state analysis and vehicle type accurate classification statistics are realized; based on this, the traffic flow is counted and predicted in real time through the dynamic traffic information acquisition and analysis module, the illumination brightness reference value is set and corrected based on the traffic flow by combining the multi-dimensional illumination parameter intelligent decision module, and then the illumination execution and dynamic adjustment module accurately executes the brightness instruction. The method has the advantages that the illumination brightness is dynamically matched with the traffic flow, the traffic safety requirement during high traffic flow is met, and energy waste during low traffic flow is avoided.

The invention relates to a method for processing medical images of human tissue of an area of a patient's body and in particular of the breast by means of a medical imaging device (1) comprising a microwave probe array consisting of K>1 probes spaced apart from one another, the array comprising P>1 different configurations defining transmitting probes and receiving probes for one or more position(s) around the area, in which the transmitting probes are configured to transmit microwave signals so as to illuminate an area of the body and the receiving probes are configured to receive microwave signals after scattering and reflection in the area, the probes being capable, in a complementary manner, of being configured to transmit and receive simultaneously.

The invention relates to the technical field of LED induction lamps, in particular to an LED induction lamp intelligent control method and system based on wireless networking, and the method comprises the following steps: S1, enabling a plurality of LED induction lamp nodes to be interconnected through a wireless Mesh network mode of a multi-node, self-organizing and self-healing distributed communication architecture; s2, performing linkage detection by using PIR and a microwave radar, and identifying activity information in the environment; s3, after the effective activity is sensed, lighting triggering and adjusting operation is executed locally; s4, the trigger node broadcasts a linkage instruction to other nodes in the group, so that the plurality of LED induction lamps respond synchronously; s5, in the synchronous response process of the multiple LED lamps, the working mode is dynamically adjusted according to the environment and activity conditions; according to the LED induction lamp intelligent control method and system based on the TSCH self-organizing self-healing Mesh network, through PIR and microwave dual-technology fusion (time difference and temperature compensation is utilized) and RSSI + TOA dual-distance filtering, false alarms and cross-regional linkage are greatly reduced.

The invention discloses a target for microwave radar and computer vision fusion displacement measurement, a calibration method and a system thereof, belongs to the technical field of structural displacement measurement, and solves the problem that a proper target is lacked when microwave radar and computer vision are used for measuring displacement at the same time. The target covers a transparent calibration plate on the open surface of the corner reflector, and a uniform light diffuse reflection plate is attached to the interior of the transparent calibration plate; and a light source is arranged on the corner reflector. The transparent calibration plate is provided with special mark points and common mark points, the special mark points are distributed on two intersecting straight lines, the intersection points are the special mark points, and the spacing distances among all the special mark points are different. According to the calibration method, the position of the special mark point is verified by utilizing cross ratio invariance and simple ratio invariance. The measurement system adopts the target and the calibration method. According to the invention, three-dimensional displacement testing based on microwave radar and computer vision fusion can be realized, and the three-dimensional displacement change condition of a space point can be accurately obtained, so that the vibration displacement of an engineering structure can be monitored and early warned.

The invention discloses a 3D (three-dimensional) perimeter security system and an operation method thereof, the system comprises a server terminal, a front-end sensing system, a data transmission system and a central control system, the front-end sensing system is networked in multiple groups of partitions, and each group of partitions of the front-end sensing system is provided with a nine-axis sensor, an edge computing all-in-one machine and a switch; and lighting, wind and rain sensor, broadcasting, microwave radar and camera equipment. The data transmission system transmits data; the central control system comprises an application server and a data server. The system forms a first defense line for active detection of the microwave radar and the camera and a second defense line for vibration sensing of the nine-axis sensor, and a monitoring blind area is eliminated through three-dimensional data fusion. The operation method comprises four groups of subsystem modules. According to the method, 'sky-ground-fence 'dead-corner-free monitoring is realized, the false alarm rate is reduced by combining multi-modal data fusion with an intelligent algorithm, self-evolution is realized by edge-cloud federal learning, and threat disposal efficiency is improved by automatic linkage response.

The utility model discloses an Internet of Things tunnel interval controller combined with a digital microwave radar, and the controller comprises a radar module which is used for obtaining traffic flow information in a non-contact manner; the control module is used for executing logic judgment and generating a control instruction according to the traffic flow information acquired by the radar module; the data storage module is used as a nonvolatile storage space of the Internet of Things tunnel interval controller; the radio frequency communication module is used for realizing networking and remote management through an Internet of Things communication protocol; the power supply module is used as a power supply basis of the Internet of Things tunnel interval controller, and the power supply module is connected with the radar module, the control module, the data storage module and the radio frequency communication module; a tunnel interval control solution with high integration level, accurate vehicle detection, intelligent dimming decision, flexible wireless communication and high-reliability data management is jointly realized.

The invention provides a microwave and laser radar collaborative sensing adaptive perimeter monitoring method, and relates to the technical field of security monitoring and perimeter protection, a microwave radar array and a laser radar array are arranged in a perimeter area to be monitored, and a static environment three-dimensional baseline model is constructed by combining two types of radar data; filtering the microwave radar original signal, extracting target distance and speed information, denoising and smoothing the laser radar point cloud, and outputting a synchronous multi-source data stream; constructing an attention mechanism feature fusion network, respectively mapping the preprocessed features of the two types of radars into channel and space attention weights and carrying out weighted fusion, reasoning by using a lightweight target detection model, and outputting a target classification result, confidence and position information in real time; adjusting the weights of the two types of radars in the fusion network and laser radar scanning parameters according to a preset mapping relation based on real-time environment parameters, and dynamically updating a confidence threshold value of target detection at the same time; and when the target confidence exceeds a threshold value and the positioning error reaches the standard, triggering a grading alarm.

The invention provides a multi-reflection superposition enhanced microwave displacement measurement method and system, and the method comprises the steps: S1, constructing a microwave multi-reflection propagation path, enabling a microwave radar to transmit electromagnetic waves to the microwave multi-reflection propagation path as a transmission signal, and receiving a corresponding echo signal; s2, extracting length change information of a microwave multi-reflection propagation path according to the echo signal; s3, establishing a linear superposition relation model between the total length of the microwave propagation path and respective displacements of W reflection surfaces in the microwave multi-reflection propagation path; w2; and S4, based on the linear superposition relation model, displacement information of the corresponding reflection surface is obtained and output. According to the invention, a larger phase variation can be obtained under the condition of small displacement or weak vibration, so that the measurement sensitivity is improved and the signal-to-noise ratio is improved.

The invention discloses an unmanned aerial vehicle low-altitude target radar detection and recognition system, and belongs to the technical field of radar detection and target recognition. Comprising a quantum entanglement laser emission module, a quantum multi-dimensional receiving module, a multi-source heterogeneous data fusion module, a quantum-classical hybrid calculation module, a self-adaptive anti-interference module and an environment self-adaptive correction module, the quantum entanglement laser emission module is used for generating entanglement photon pairs carrying orbital angular momentum (OAM) and emitting the entanglement photon pairs to a detection airspace; and the quantum multi-dimensional receiving module demodulates the distance, the angle, the OAM attenuation spectrum, the polarization state and the reflection spectrum of the echo signal through coincidence measurement. The quantum entanglement-OAM combined modulation technology is adopted, and the non-locality of entanglement photon pairs and the multi-dimensional information bearing capacity of a 9-path orthogonal OAM mode are improved by more than three times compared with a traditional microwave radar; single-photon-level coincidence measurement is combined with quantum Fourier transform signal processing, the signal-to-noise ratio is increased by 3dB, and stable detection of a weak target is achieved.

The invention discloses a forest biomass nondestructive testing device and method in forestry carbon sink measurement, and relates to the technical field of forestry resource monitoring and carbon sink evaluation, the device comprises a multi-mode sensing unit, an underground biomass monitoring module and a data processing unit, the multi-mode sensing unit collects forest stand data through cooperation of a microwave radar, a laser radar and a hyperspectral imaging assembly. The underground biomass monitoring module collects acoustic impedance data of a root system; the data processing unit comprises an environment feature recognition module, a dynamic calibration engine, an organ recognition unit, a dynamic carbon distribution unit and a carbon sink metering module, the method comprises the following steps: cooperatively acquiring data through an air base and a foundation, analyzing environment features, dynamically calibrating, segmenting organs and generating a carbon distribution coefficient, and finally calculating the carbon sink amount of a single tree according to a formula. According to the invention, non-contact multi-parameter synchronous acquisition is realized, environmental changes are adapted through dynamic calibration, accurate metering is realized by means of organ-level carbon distribution, and the precision and reliability of forestry carbon sink metering are improved.

The invention relates to the technical field of zone control of illumination, in particular to a zone control method of an airplane passenger cabin scene illumination system, which comprises the following steps: acquiring real-time external natural light parameters of each porthole area in a passenger cabin and real-time passenger distribution data of each zone in the passenger cabin, and generating a first illumination distribution diagram through a ray tracing algorithm; real-time biological rhythm feedback signals of the passenger groups in all the partitions are obtained based on a non-imaging microwave radar sensor, the biological rhythm feedback signals comprise a first type of signals and a second type of signals, the current overall activity state of the passenger groups in all the partitions is judged based on the first type of signals, and the rest state depth is subdivided based on the second type of signals; and when the adjustment amplitude of the illumination parameters of the adjacent partitions exceeds a fifth preset threshold value, generating a natural transition zone of the illumination parameters between the adjacent partitions. By arranging the transition zone, the visual boundary is eliminated through gradient change of the transition zone of the adjacent partitions, and discomfort is reduced.

The invention discloses an intelligent electric power perimeter early warning and diagnosis method and equipment based on microwave radar shooting control, and the method comprises the steps: firstly collecting multi-dimensional data through a plurality of sensors, including microwave radar, video images, environment monitoring, electric power system operation, facility static information and the like; the microwave radar and video image data are preprocessed and subjected to space-time fusion, and target sensing information is obtained. Thirdly, constructing a three-dimensional digital twinborn model based on the static information of the facility, mapping the fused target sensing, environment monitoring and operation data into the model in real time, and generating a real-time twinborn situation; meanwhile, an electric power knowledge graph library is constructed, real-time twinning situations are associated, perimeter safety risks are recognized through semantic reasoning, grades are determined, and root causes are positioned through causal reasoning during faults. And based on the risk level and the real-time situation, dynamically evaluating the risk, generating adaptive early warning information, predicting the potential risk, giving a maintenance suggestion, and intelligently matching an emergency plan. The objective of the invention is to solve the defects of the prior art in the aspect of electric power perimeter safety early warning, realize the conversion from passive response to active prediction and intelligent decision, and improve the safety protection level and operation and maintenance efficiency of electric power facilities.

The invention belongs to the technical field of microwave radar image processing, and relates to a wind wave significant wave height inversion method based on a wind wave period, which comprises the following steps: firstly, establishing a significant wave height calculation model taking the wind wave period as input; then, acquiring a sea surface microwave remote sensing image, and performing coordinate transformation, such as preprocessing of a shore-based sea observation radar image, a shipborne navigation radar image, noise suppression and the like; thirdly, inverting a wind wave period from the preprocessed image through a spectrum analysis technology; and finally, substituting the wind wave period obtained by inversion into a pre-established model, and calculating to obtain the significant wave height. According to the method, the wind wave period is introduced to serve as a key intermediate variable, the image features and the sea wave physical parameters are closely associated, the defect that an existing direct inversion method is insufficient in precision and stability is overcome, and an effective wave height obtaining means which is clear in physical significance, high in inversion precision and easy to popularize in a business mode is provided.

The invention relates to the technical field of man-machine interaction, in particular to an intelligent screen turning-on and turning-off control method and system based on a microwave radar, which completely eradicates the risk of privacy disclosure and realizes high privacy protection through an identification mode of not collecting optical image information and only analyzing motion and vital signs through electromagnetic waves, and is not influenced by the environment, so that the intelligent screen turning-on and turning-off control method and system based on the microwave radar can be applied to intelligent screen turning-on and turning-off control. The system can stably work in severe environments such as all black and strong light, has super-strong environmental adaptability, and enables the judgment of screen opening to better conform to the real intention of a user by sensing the accurate postures of person existence, no person existence, approaching, departing, right facing or side facing, reduces false triggering to the greatest extent, improves the accuracy of system judgment, and improves the user experience. The instrument does not need to be kept in a bright state all the time in the operation process, when no person is in front of the instrument, the screen is automatically turned off at proper time, and when an operator comes to the front face of the instrument and prepares to operate the screen, screen display is automatically turned on, energy is saved, environment is protected, and the instrument is convenient to operate.

The invention belongs to the technical field of molten salt heat storage tank liquid level measurement, and discloses a device for measuring the liquid level height of a molten salt heat storage tank and a working method of the device. According to the device for measuring the liquid level height of the molten salt heat storage tank, an installation block is used for being installed on the top of the molten salt heat storage tank with the liquid level height to be measured, a distance measuring device is integrally arranged in the installation block, and the distance measuring device comprises a laser distance measuring unit and a microwave radar distance measuring unit; the rail rod is used for being vertically installed in a fused salt heat storage tank to be subjected to liquid level height measurement. The floating disc is used for being arranged in a fused salt heat storage tank to be subjected to liquid level height measurement and is slidably installed on the rail rod. The dynamic air curtain protection assembly is used for forming a protection air curtain near the distance measuring device in the liquid level height measuring process; and the operation output unit is used for calculating and outputting the liquid level height value of the molten salt heat storage tank by adopting a weighted average algorithm. According to the method, the measurement robustness and the measurement accuracy can be remarkably improved.

The invention specifically relates to a 4g highway intelligent traffic road condition monitoring system, and relates to the technical field of intelligent traffic. A data processing and analyzing module; a central management and scheduling module; and an information issuing module. According to the invention, a plurality of devices such as a microwave radar, a camera, a meteorological sensor and the like are arranged in the data acquisition module, so that multi-dimensional data such as traffic flow, vehicle states, environmental meteorology and the like can be acquired in an omnibearing manner; the data is deeply mined through the data processing and analyzing module, and congestion prediction, accident early warning and flow pre-estimation are realized by using algorithms such as LSTM (Long Short Term Memory) and Transform; in the peak period of festivals and holidays, a traffic dispersion scheme can be planned in advance based on historical data and flow prediction of real-time road conditions.

The utility model discloses a microwave radar receiver protection structure and method, the microwave radar receiver protection structure comprises a cascade amplitude limiter, the cascade amplitude limiter is arranged behind an antenna sum-difference device, and the cascade amplitude limiter is arranged in front of a receiver radio frequency front end circuit. The cascade amplitude limiter comprises a waveguide plasma amplitude limiter, a micro-strip amplitude limiter and a waveguide coaxial converter, the micro-strip amplitude limiter is cascaded behind the waveguide plasma amplitude limiter, and the waveguide coaxial converter is cascaded behind the micro-strip amplitude limiter. The starting threshold of the micro-strip amplitude limiter is effectively improved compared with the working threshold of other amplitude limiters, so that echo signals can enter a receiver with low loss, and the sensitivity of the receiver is ensured. According to the cascade amplitude limiter, the standing-wave ratio near the working frequency is slightly larger than 1, the loss is low, and the use requirement is met. According to the utility model, two stages of amplitude limiters with different forms are used, so that the high power resistance and the fast response time are improved; a micro-strip amplitude limiter is used to raise a starting threshold.

The invention provides a non-contact microwave physiological parameter monitoring method and system, and the method comprises the steps: obtaining a reflected signal, separating the real part data and imaginary part data of the reflected signal, and carrying out the structural data division according to the number of receiving antennas, the number of frames, and the number of Chirp signal pulses; enabling the divided data to pass through a static clutter suppression filter to obtain a pre-processing signal, and carrying out distance dimension FFT processing on the pre-processing signal to obtain a distance-angle thermodynamic diagram; according to the distance-angle thermodynamic diagram, phase demodulation is carried out on the preprocessed signal to obtain a phase signal, filtering and denoising processing is carried out on the phase signal to obtain a target signal, finally, the target signal is extracted to obtain corresponding physiological parameters, and specifically, the distance-angle thermodynamic diagram is obtained. Non-contact accurate monitoring of respiration, heart rate and blood pressure is achieved through the microwave radar technology.

The invention relates to the technical field of air conditioner control, in particular to a dynamic operation method, device and equipment of a multi-split air conditioner and a storage medium, according to the method, area density information is determined through real-time echo information fed back by a millimeter-wave radar module, and compared with a traditional infrared or camera scheme, millimeter-wave radar is higher in detection sensitivity to a static human body, and the detection accuracy is improved. The device is not interfered by light and oil smoke, and the static detection rate is effectively improved; air area information is further confirmed based on area density information, personnel distribution can be quantified, invalid air supply in an unmanned area is reduced by dynamically adjusting an air swinging angle, fan energy consumption is reduced, and meanwhile the situation that the indoor temperature difference is too large is avoided; a work adjusting instruction is further generated based on the area density information and the real-time operation mode, the work adjusting instruction conducts linkage adjustment on the rotating speed of a compressor, the opening degree of an electronic expansion valve, the superheat degree of an evaporator, the fan gear and other parameters, multi-parameter cooperative regulation and control are achieved, system unbalance caused by single-parameter adjustment is avoided, and the system reliability is improved. And the fault rate in a high-load scene is effectively reduced.

The invention discloses a satellite-borne microwave radar tracking wave beam on-orbit correction method, which comprises the following steps: an on-orbit calibration step: acquiring high-precision relative angle information through GNSS differential positioning by using two cooperative satellites equipped with GNSS receivers, and making a difference between the high-precision relative angle information and a tracking measurement angle of a satellite-borne microwave radar to a target satellite, obtaining a pointing deviation of a radar tracking beam; and an on-orbit correction step: injecting the pointing deviation into the spaceborne microwave radar in a ground injection mode, and adjusting a radar tracking algorithm to compensate the pointing deviation so as to realize on-orbit correction of tracking beam pointing. According to the invention, the problem of deterioration of radar product tracking precision caused by inconsistency of the on-orbit state and the ground state can be effectively solved, and the anti-risk capability of the load system function is improved.

The invention discloses an unmanned aerial vehicle wind driven generator blade lightning protection detection method, and belongs to the technical field of wind power generation. The system comprises a multi-mode perception and hidden defect detection module, a digital twin and full life cycle management module, an AI-driven autonomous decision module, an extreme environment adaptation and multi-model compatible module and a full-scene operation and maintenance closed-loop management module. The multi-mode sensing and hidden defect detection module integrates visible light, thermal imaging, ultraviolet, microwave radar and laser radar, and realizes high-precision detection of blade surface lightning stroke traces and internal downlead fracture hidden defects. According to the method, the hidden defect detection rate is improved through a multi-mode perception fusion technology, and the fracture positioning error of the internal downlead is controlled within + / -8cm; the installation angle deviation measurement precision of the lightning arrester is high and is greatly improved compared with a traditional method, the anti-interference design enables the automatic wiping frequency of the ultraviolet lens in the salt fog environment to be reduced, and the dynamic gain adjustment range of the thermal imaging module is expanded under the strong wind condition.

This utility model discloses a smart barn door for kitchens, relating to the field of barn door technology. It includes a mounting plate and glass. A fixed shell is provided on one side of the mounting plate, and a moving mechanism for lateral movement is provided on the fixed shell. A microwave radar sensor is provided on one side of the fixed shell, and a control box is provided on one side of the mounting plate. A door frame is provided at the bottom of the moving mechanism, and a connecting rod is provided inside the door frame. An installation mechanism for convenient glass installation and fixing is provided on the door frame and the connecting rod, and the glass is mounted on the installation mechanism. The number of glass panes is set to four. The moving mechanism includes a lead screw, which is rotatably installed inside the fixed shell. Two sliders are threaded onto the outer wall of the lead screw, and the two sliders are slidably installed on the inner wall of the fixed shell. This utility model achieves sensor-controlled drive of the door frame, improving convenience and facilitating glass replacement. It is simple to operate and highly practical.

This utility model discloses an integrated energy-saving control device for air conditioning air supply, comprising: a microwave radar induction switch with a built-in delay control module for real-time detection of human activity signals within a set area, and triggering a delayed disconnection command after the signal disappears; an intermediate relay connected to the microwave radar induction switch by wires, changing the circuit on / off signal according to the energized and de-energized state of the microwave radar induction switch; and an electric air valve controlled by the on / off signal of the intermediate relay to open or close the air supply channel of the air conditioner. This utility model, by incorporating a directionally adjustable microwave radar induction switch, can monitor the presence of human activity within a set area in real time, and by using an intermediate relay to control the on / off state of the electric air valve based on the feedback signal from the microwave radar induction switch, thereby controlling the opening and closing of the central air conditioning vents in the room. This addresses the problem of energy waste caused by the continuous air supply from the vents of existing central air conditioning systems when no one is present.

The utility model discloses a fire-fighting passage real-time linkage early warning system, its smoke inductor, fire source detector, microwave radar inductor and door magnetic inductor all are equipped with signal transmission device and are connected with main control device communication, main control device and background management end communication connection, camera monitoring identification device and background management end communication connection, microwave radar inductor senses and identifies to have the object parking / accumulation of longer time in safety passage to send alarm signal to main control device, main control device receives alarm signal and sends alarm signal to background management end after. According to the actual situation of fire-fighting passage, the fire-fighting inductive identifier is laid, the object in the passage is early warning identified to the smoke, the fire source, the temperature and notify the management personnel and handle in time, ensure the smooth of safety passage.

According to the water dispenser energy-saving circuit based on the microwave radar, through the arrangement of the microwave radar, when the water dispenser completes work and the microwave radar does not sense a moving object within the range, a system can automatically enter a dormant state after a certain time, all electric parts of the water dispenser operate in a lowest power consumption state, and the water dispenser can work normally. When a person approaches the water dispenser or uses the water dispenser, the microwave radar immediately wakes the main control unit to work. Therefore, the automatic energy-saving use effect of the water dispenser is achieved, and the service life of electrical components is prolonged. Besides, the electromagnetic valve is arranged on the water outlet pipeline, and the control end of the main control unit is electrically connected with the controlled ends of the electromagnetic valve and the heating piece, so that when the main control unit receives the information that the human body approaches the water dispenser, the electromagnetic valve and the heating piece can be closed, and an approaching user is prevented from being scalded. Therefore, the utility model provides a hardware architecture which is favorable for reducing the power consumption of the water dispenser equipment and improving the safety of the water dispenser.

The invention discloses a microwave radar-based water and rain condition integrated sensing optimization method and system, and relates to the technical field of hydrology and meteorology. The method comprises the following steps: monitoring low signal-to-noise ratio radar echoes by adopting a time domain accumulation algorithm, and outputting water and rain condition time sequence data; directionally correcting the time sequence data based on the ultrasonic data, and outputting optimized data; linking the multi-space association stations to call the water and rain condition association data; the optimization data and the associated data are corrected according to the topographic topology parameters, and a multi-station joint defense flow prediction value is obtained; and carrying out disaster risk prediction and outputting an early warning instruction. The technical problems that in the low signal-to-noise ratio, complex terrain and strong interference environment, the water and rain condition monitoring precision is low, the data consistency is poor, and multi-station cooperative flow prediction is difficult to achieve are solved, the quality and stability of water and rain condition data in the low signal-to-noise ratio environment are improved through multi-source sensing data fusion and multi-station joint defense cooperative correction, and the flow prediction efficiency is improved. The technical effect of high-precision distributed prediction of the cross-section flow of the drainage basin is achieved.

The utility model discloses a kind of underwater topographic model construction devices for rivers and lakes, belong to river and lake topographic survey technical field, its technical scheme main points include floating body structure, the top of the floating body structure is bolted with support structure, the inner wall of the support structure is movably connected with positioner structure, the bottom of the holding handle is bolted with the top of positioner bar, the bottom of the positioner bar is bolted with the top of mounting frame, the inside of the mounting frame is bolted with microwave radar detector body top, the inside of the mounting frame is bolted with the outside of protective frame, in the existing rivers and lakes underwater topographic model construction process, generally simple rope detection, detection depth is inconvenient to adjust, and complex operation is needed to adjust detector height, difficult to adapt to different water depth area detection demand, and detection operation is difficult to stabilize, if lack reliable buoyancy support, easily be impacted by water flow and tilt, resulting in detection position deviation, affect data precision.