656 results about "Observation system" patented technology

The invention relates to the technical field of coal mine goaf exploration, in particular to a goaf combined detection and identification method fusing gravity, earthquake and transient electromagnetism, which comprises the following steps of: (1) arranging an earthquake, transient electromagnetism and gravity method combined observation system according to a detection geological task and a field condition of a coal goaf; (2) seismic data, transient electromagnetic data and gravity data are collected through the combined observation system; (3) performing independent inversion on the gravity data, the transient electromagnetic data and the seismic data to obtain density distribution, resistivity distribution and wave velocity distribution of the goaf; (4) carrying out a joint inversion method based on improved cross gradient seismic data, transient electromagnetic data and gravity data; (5) obtaining a joint inversion resistivity profile map, a joint inversion wave velocity profile map and a joint inversion density profile map of the goaf through joint inversion of the seismic data, the transient electromagnetic data and the gravity data of the goaf; and identifying development characteristics of the goaf.

The invention provides a satellite weak and small target on-orbit observation system and method based on intelligent closed-loop feedback, and the system comprises a detection module which carries out the image enhancement and time sequence consistency enhancement of an infrared image, obtains an enhancement feature, and obtains a candidate target set based on the enhancement feature; the tracking module is used for carrying out target matching in the search area; when the matching succeeds, the candidate position is used as an observation value, and the observation value is input into a Kalman filter to obtain a target state vector; when the matching fails, taking a prediction state of the Kalman filter as a target state vector, expanding a search window by taking a prediction position as a center, and executing re-identification; the control module is used for mapping the target state vector into an attitude error and generating a control instruction by adopting a single-neuron self-adaptive PID (Proportion Integration Differentiation) controller; and the closed-loop scheduling module is used for dynamically adjusting operation parameters of at least one module according to the execution error and the detection confidence coefficient. According to the invention, the continuous tracking precision and attitude control stability of the weak and small target are improved.

The invention relates to the technical field of electric power facility safety monitoring, in particular to a substation equipment foundation settlement observation system and method, and the system comprises an infrared monitoring array and a data processing terminal; the method comprises the following steps: acquiring and correcting real-time three-dimensional point cloud data of the basic surface of the equipment; obtaining an effective settling volume; environment parameters or equipment vibration signals are monitored in real time, the collection frequency of the infrared monitoring array is automatically adjusted according to the monitoring result, and an early warning signal is sent out when the effective settling volume exceeds a preset threshold value; through software and hardware cooperation, the problems that in the prior art, a monitoring blind area is large, the anti-interference capacity is weak, and a linkage mechanism is lacked are solved, an intelligent settlement observation solution is provided for a substation equipment foundation, and safe and stable operation of a power grid is effectively guaranteed.

The invention relates to the technical field of geophysical exploration, in particular to a borehole three-dimensional observation system based on seismic-electric combined exploration. The system comprises an excitation device which is deployed in an underground drill hole and is used for respectively exciting a seismic wave signal at the same excitation point and supplying excitation current to the underground; the receiving device comprises a series of ground receiving modules arranged on the ground and an in-well receiving module arranged in at least one receiving drill hole; both the ground receiving module and the in-well receiving module are integrated with seismic wave signal receiving units and potential signal receiving units and are used for synchronously receiving seismic wave signals generated by excitation of the excitation device and potential signals in an electric field established by excitation current; and the data processing device is in communication connection with the receiving device and is configured to receive the seismic wave signal and the potential signal and determine the wave velocity parameter and the resistivity parameter of the underground target body according to the seismic wave signal and the potential signal.

The invention discloses a zero-perception dairy cow behavior observation system based on AI vision, and the system comprises a data collection module which is used for collecting a video image through a monitoring camera; the image preprocessing module is used for generating a standardized image frame sequence; the visual Transform feature extraction module is used for outputting a space-time feature vector; the deep forest behavior classification module is used for behavior classification and label output; the behavior analysis module is used for generating a behavior track and group distribution; the model adaptive training module is used for periodic incremental training; and the abnormity early warning module is used for judging and outputting abnormal behaviors. According to the invention, cow behavior automatic identification and abnormity intelligent early warning based on AI vision are realized, and the management efficiency of a farm and the cow health guarantee level are improved.

The invention provides a forest fire fighting and rescue fire scene low-altitude meteorological monitoring service system and method. The system comprises a forest fire scene meteorological environment monitoring system, a data fusion analysis system and a data distribution service system. The forest fire scene meteorological environment monitoring system comprises an air-ground collaborative meteorological observation system and a forest fire scene space information remote sensing system, and is used for acquiring low-altitude meteorological environment, vegetation and terrain situation information in a forest fire scene boundary layer; the data fusion analysis system is used for observation data space-time normalization processing, observation data space-time scale expansion, three-dimensional fire scene situation construction based on terrain situation information, meteorological data fusion analysis and information visualization display; and the data distribution service system comprises a data link and data distribution service software and is used for distributing data of the forest fire scene meteorological environment monitoring system and the data fusion analysis system to different forest fire fighting rescue forces and hardware terminals. The overall efficiency and safety of forest fire scene fighting work can be effectively improved.

The invention discloses a scattered wave seismic acquisition and imaging method based on a full random observation system, which belongs to the technical field of seismic exploration and comprises a quasi-Monte Carlo random observation array design step, a scattered wave intelligent identification and enhancement step, a sparse wave field reconstruction step and a multi-target optimization imaging step. The limited equidistant property is ensured through the random observation array design based on a low-difference sequence, intelligent separation and enhancement of scattered waves are realized by using a physical constraint neural network, a sparse reconstruction problem is solved by using an alternating direction multiplier algorithm, a multi-target optimization imaging framework is constructed to realize high-resolution imaging, and high-resolution imaging is realized. The four core steps form a closed-loop cooperative system, sparse reconstruction quality evaluation feedback optimizes observation array design, imaging quality measurement feedback adjusts scattered wave identification parameters, and cooperative interaction is achieved.

The invention discloses a processing method of a polybutylene terephthalate bar with laser etching performance, and relates to the technical field of high polymer material processing and surface modification.The processing method comprises the following steps that in the material melting stage, a synchronous observation system of a melt rheological behavior and a temperature field is established, micro-amplitude sine torque disturbance is introduced, and the temperature field is measured; obtaining dynamic response of viscosity and shear rate, and generating a flowing fingerprint baseline; and performing spectrum decomposition on the flow fingerprint baseline, extracting signal components causing pressure pulsation, determining a critical shear rate threshold and time delay thereof, and forming a discrimination condition of an unstable region. According to the method, shear characteristics are extracted through rheological disturbance and thermal field synchronous observation, space mask driving process simulation is constructed, a feedforward adjusting curve is output, density online estimation and phase recognition are introduced, micro-pulse disturbance and temperature fine adjustment are combined, closed-loop control is formed, melt flow is dynamically stabilized, and laser engraving consistency and the product yield are improved.

The invention relates to a coastal zone sediment erosion pore scale flow field observation system and observation method. The observation system comprises a wave-flow water tank, a sediment accumulation body arranged in the wave-flow water tank and PIV equipment used for observing the internal flow field and the pore size of sediment. A wave making plate and a wave dissipating plate opposite to the wave making plate are arranged in the wave flow water tank, experimental fluid used for simulating waves is arranged between the wave making plate and the wave dissipating plate, and a wave height meter floats on the experimental fluid; the sediment accumulation body is formed by accumulation of transparent solid particles with the same refractive index as the experimental fluid; the PIV equipment comprises a laser light source and a camera, the laser light source is focused on the sediment accumulation body, and the camera directly faces the sediment accumulation body and is used for collecting images. Compared with the prior art, a clearer sediment pore internal flow field image is obtained through the combination of the refractive index matching technology and the image particle velocity measurement method, so that effective observation of the pore scale flow field eroded by the sediment in the coastal zone is realized.

The invention relates to the technical field of ocean observation, in particular to an ocean power and biochemical element observation system aiming at different observation requirements, which comprises a submersible specimen body, an intelligent sensing module, a multi-mode communication module, a multi-element observation module and a main control module, the technical problems that an existing observation system is incomplete in communication architecture, lack of intelligent perception, insufficient in multi-element synchronization, low in data transmission reliability and poor in adaptability are solved, and full-water-depth, multi-scene and high-precision ocean power and biochemical element collaborative observation is achieved.

The invention discloses a lightning stroke observation system and method based on a dynamic visual sensor, and the system comprises the dynamic visual sensor which continuously obtains a dynamic sensing image of an observation region; the CMOS image sensor is used for continuously acquiring observation images of the observation area; the computer is used for continuously measuring and calculating the average brightness of the observation images of the two adjacent frames to obtain the change amplitude of the average brightness; when it is judged that the average brightness change amplitude exceeds a set threshold value, trigger signals are sent to the dynamic vision sensor and the CMOS image sensor; the dynamic vision sensor and the CMOS image sensor store a dynamic sensing image and an observation image through a computer based on a trigger signal; a lightning stroke observation message is generated based on the dynamic sensing image, the observation image, the triggering time and the like; the GPS antenna is used for recording the triggering time when the triggering signal is sent out; and the collector is used for collecting the electric field signal of the plate capacitor antenna, storing the electric field signal through the computer, and judging the polarity of the electric field signal.

The invention discloses a mine electromechanical equipment operation safety situation assessment method and system, and relates to the technical field of mine electromechanical equipment safety monitoring and assessment, and the method comprises the following steps: building an electromechanical coupling time frequency observation layer, continuously obtaining the dynamic characteristics of tension data, displacement data, current data and torque data, generating a modal fingerprint baseline based on conjoint analysis; coherent decomposition is carried out under the support of the modal fingerprint baseline, the modal drift speed is calculated, and the risk window with the driving frequency gradually approaching is identified, so that the frequency evolution trend is revealed in advance. According to the method, an electromechanical coupling time-frequency observation system is constructed, a modal fingerprint baseline is extracted, the resonance risk is recognized in advance in combination with coherent decomposition and anti-fact playback, energy dissipation is achieved through peak shifting driving and structural damping, and finally, phase traction and a phonon band gap structure are used for rapid vibration extinguishing, so that a complete dynamic regulation and control closed-loop system is formed.

The invention discloses a collaborative planning method for multi-unmanned aerial vehicle dynamic target positioning, and belongs to the field of unmanned aerial vehicle trajectory planning and visual perception, and the method comprises the steps: obtaining the position information of each unmanned aerial vehicle and a dynamic target in real time; modeling a multi-unmanned aerial vehicle system into a pseudo-rigid body structure, taking the geometric center of the structure as a path search node, and performing multi-unmanned aerial vehicle cooperative path search on the basis of the position information under the condition of meeting obstacle avoidance constraint and topological consistency constraint to obtain an initial trajectory of each unmanned aerial vehicle; multi-unmanned aerial vehicle combined continuous time-space trajectory optimization is carried out on the initial trajectory, the optimization target is to minimize control cost and flight time cost, and dynamic feasibility constraint, environment obstacle avoidance constraint, cluster mutual avoidance constraint and public view field constraint are met. By introducing the topological consistency constraint and the public view field constraint, mutual visibility among multiple machines is effectively maintained in a complex obstacle environment, it is guaranteed that a public view field area is not shielded, and the robustness of a dynamic target observation system is improved.

The invention discloses a fish behavior observation system in a rice-fish mode based on a neural network, and belongs to the field of fish behavior observation, and the system comprises the steps: obtaining an underwater image through a multispectral camera array, and obtaining a high-quality image sequence under a turbid water body and variable illumination through adaptive filtering, Retinex enhancement and wavelet turbidity removal processing; continuous tracking of fish individuals is realized by combining convolutional neural network detection, feature refining and Kalman filtering; a speed-direction clustering analysis behavior mode is utilized, an exception verification mechanism is introduced, group interaction frequency and spatial distribution are calculated in real time, a behavior integrity evaluation report is output, and an integrated solution from image acquisition to behavior quantification is formed.

The invention discloses a multi-layer synchronous micro-plastic observation system and method based on ocean frontal surface tracking. The system comprises a frontal surface tracking ship and a frontal surface crossing observation ship; a Manta trawl net and a sampling pump are installed in the sampling device; an ADCP and a CTD are installed in the latter. The method comprises the following steps: selecting one or more legs on a frontal surface; carrying out micro-plastic tracking navigation along the frontal surface direction of the frontal surface tracking ship; collecting micro-plastic particles on a surface layer and a vertical section; carrying out cross-frontal surface navigation perpendicular to the frontal surface direction of the cross-frontal surface observation ship; calculating a salinity horizontal gradient based on interpolation, calculating horizontal flow velocity divergence, and then performing observation data fitting to obtain a corresponding relation between frontal surface strength and micro-plastic abundance. According to the invention, key data are synchronously acquired through a double-working ship system, so that the acquisition of micro-plastics at the ocean frontal surface and the observation of physical elements are realized, and the influence and action relationship of the physical elements of the ocean frontal surface on the micro-plastics is established.

The invention discloses a community equivalent rainfall flood model construction and real-time correction method and system, and belongs to the technical field of urban hydrology, rainfall flood management and digital twinning. Aiming at the problem that the traditional model application is limited due to incomplete community pipe network data and lack of long-sequence runoff monitoring data, constructing a community digital twinborn observation system to obtain rainfall process-runoff process data; generalizing a community into an equivalent hydraulic response unit (EHRU) 'ash bin 'model, and differentially processing permeable / impermeable underlying surface runoff; extracting multi-dimensional rain pattern features, and constructing a mapping model of rain patterns and EHRU optimal parameters through Gaussian process regression (GPR); the model is corrected online in real time, runoff is predicted in a rolling mode in combination with rainfall forecast, and a closed loop is formed through event post-evaluation and model retraining. The system modularizes and integrates the functions of data acquisition, offline training, online prediction and the like, the runoff prediction precision and the model robustness are improved, and the method is suitable for rainfall flood management of communities with incomplete basic data.

The invention discloses an aero-engine turbine blade material in-situ mechanical test system and method, and the system comprises a multi-axis loading unit which is used for simulating the multi-axis stress state of a turbine blade under an actual working condition; the high-temperature environment module is used for realizing local rapid heating of the sample; the in-situ observation system integrates a high-temperature microscope lens with a long working distance and a high-speed camera and is used for observing and recording microscopic damage evolution of the turbine blade sample in a high-temperature loading process in real time; and the control unit is internally provided with a temperature-stress decoupling control model and a microdefect identification model and is used for compensating the plastic deformation heat effect in real time and quantifying the damage factor D. Synchronous loading of centrifugal force is achieved through the three-axis servo actuator, composite stress is accurately reproduced, the load error is small, and the limitation that a traditional single-axis test cannot simulate the multi-source load of the blade is broken through. Meanwhile, plastic work-induced temperature rise interference is reduced, and the technical problem of data distortion caused by temperature drift in a high-temperature test is solved.

The invention discloses a secondary path online modeling and real-time ANC system observation method without additional white noise, and the method comprises the following steps: monitoring the stability of an ANC system through a real-time observer, and preventing divergence caused by the change of a secondary path or an overlarge step length; a secondary path online modeling method is designed, secondary path online precise modeling without adding white noise is realized by combining an offline modeling initial value and online self-adaptive updating, and residual noise rise and human ear discomfort caused by introduction of the white noise in a traditional online modeling method are avoided; secondary path coupling is eliminated by using a loudspeaker time-sharing sounding strategy, and the modeling calculation amount is reduced; and an intelligent ANC system is constructed, a secondary path model is dynamically updated, the step length is adaptively adjusted, and stable operation of the system is ensured. According to the invention, the stability and the noise reduction performance of the ANC system are improved, and the calculation complexity and the human ear interference risk are reduced at the same time.

The invention discloses an unattended full-automatic unmanned aerial vehicle observation system, and relates to the technical field of unmanned aerial vehicles, and the system comprises a multi-sensor group which is used for collecting real-time multi-sensor data streams; an observation blind area self-discovery filling algorithm is stored in the memory, and the processor executes the observation blind area self-discovery filling algorithm and comprises a blind area detection module, a conditional generative adversarial network variant module, a Bayesian uncertainty quantization sub-module and a reinforcement learning agent module; the blind area detection module extracts a blind area boundary mask through a convolutional layer and quantizes a geometric shape; a conditional generative adversarial network variant module generates candidate filling data; the Bayesian uncertainty quantization sub-module deduces and calculates the evidence lower bound of each generated pixel or point; and the reinforcement learning agent module decides and fuses candidate filling data or triggers a reflight verification path. According to the invention, through the multi-stage hybrid generation framework of the observation blind area self-discovery filling algorithm, self-discovery and filling of the blind area of the unmanned aerial vehicle are realized.

The invention provides a laser processing device and method, and the device comprises a laser device which is used for emitting laser; the optical system comprises a collimating lens, a shaping lens and a focusing lens, the laser is collimated and amplified by the collimating lens and then enters the shaping lens, the incident laser is converted into a flat-topped light spot from a Gaussian light spot by the shaping lens, and the flat-topped light spot is positioned on a bonding interface by moving the position of the focusing lens; the displacement table system comprises a longitudinal displacement table and a horizontal displacement table, and the longitudinal displacement table is used for driving the focus lens to move synchronously, so that the flat-topped light spot is located on a bonding interface; the horizontal displacement table is used for driving the heterogeneous bonding material to move synchronously so as to realize that the flat-topped light spot scans the whole bonding interface; the in-situ observation system is used for obtaining light spot images of the surface and the bonding interface at at least one height measurement point; and the processing control system is used for obtaining the moving distance of the focus lens according to the light spot image of the height measurement point so as to adjust the position of the focus lens. According to the method, the bonding interface can be optimized.

The invention provides a building extraction method, system and device based on multi-source remote sensing data fusion. The method comprises the steps that original satellite hyperspectral image data of a to-be-detected target area is acquired and preprocessed; constructing a multi-scale collaborative observation system combining a satellite hyperspectral image and an unmanned aerial vehicle high-resolution image based on the preprocessed hyperspectral satellite image, and extracting a building candidate area; obtaining unmanned aerial vehicle image data based on the coordinate data of the building candidate area; performing data fusion and sub-pixel positioning optimization based on the unmanned aerial vehicle image data to generate a hyperspectral fusion image; and performing target positioning and edge extraction on the hyperspectral fusion image based on the boundary refinement model to obtain an extracted building area. According to the method, the problems of contradiction between the coverage range and the spatial resolution, fuzzy shielding scene edge, insufficient multi-dimensional data utilization rate and the like of hyperspectral building extraction are solved.

A reflective focusing-based depth-velocity modeling method, relating to the field of seismic exploration, comprising: determining an actual seismic record and an initial velocity model (S1); on the basis of a seismic observation system, performing forward simulation on the initial velocity model, and obtaining forward wave field data (S2); on the basis of the actual seismic record and the forward wave field data, calculating a focusing function of a reflected wave residual response, calculating a Green's function of the reflected wave residual response on the basis of the focusing function, and, on the basis of the Green's function and the forward wave field data, calculating a gradient of an objective function with respect to a longitudinal wave velocity (S3); determining an updated velocity model on the basis of the gradient of the objective function with respect to the longitudinal wave velocity and an update step size (S4); and on the basis of the actual seismic record and the updated velocity model, determining whether a termination condition has been met (S5), if so, using the finally obtained updated velocity model as a depth-velocity model, and if not, re-performing forward simulation and the following steps. Further related is a reflective focusing-based depth-velocity modeling apparatus.

The invention discloses an offshore field two-dimensional seismic data rapid imaging method, and relates to the technical field of seismic exploration data processing, and the method comprises the steps: obtaining SEGD format original seismic data of a target region from a seismic collection system, combining the data of each shot of each measuring line, decoding the data into internal available data, and obtaining a to-be-processed data body; and loading an observation system and assigning seismic trace header parameters according to actual acquisition parameters based on the decompiled to-be-processed data volume. According to the invention, through a multi-stage denoising and signal protection strategy, effective suppression of various sea interferences is realized, a frequency division multi-channel statistical abnormal amplitude suppression technology is adopted, zero-phase high-pass filtering is combined, low-frequency effective signals are protected while low-frequency strong-energy background noise is removed, and the noise suppression effect is improved. The direct wave cutting step further eliminates strong energy interference under a long cable condition, highlights an effective reflection signal of middle and far offset data, forms a progressive signal-to-noise ratio improvement mechanism from original data to final imaging, and improves the interpretability of seismic data.

The invention relates to the field of optical transmission, and provides a pressure-resistant branch cabin, an underwater cable assembly and an underwater observation system. The pressure-resistant branch cabin comprises an end cover; the top end of the cavity is connected with the end cover in a sealed mode, the bottom end of the cavity is connected with at least two connecting ports, and the interior of the cavity is used for being filled with insulating oil liquid for achieving pressure balance and heat dissipation; the circuit board is arranged in the cavity; the fiber coiling structure is arranged in the cavity and is used for coiling an optical fiber; and the connecting pipe is connected to the connecting port and is used for connecting and sealing the cable. The pressure-resistant branch cabin is small in size, light in weight, low in cost and convenient to construct; the device can be applied to deep-sea cavities and is prevented from being corroded; the structure is simple and reliability is high.

The application belongs to the technical field of chemical detection, and particularly relates to a Raman-LIBS-mass spectrometry combined analysis device and analysis method. The Raman-LIBS-mass spectrometry combined analysis device comprises a multiple-reflection time-of-flight mass spectrometer, a LIBS spectrometer, a Raman spectrometer and a shared module. The shared module comprises a first incident light path system, a second incident light path system, a high-definition observation system, a vacuum sample bin, a vacuum system and a control system. The first incident light path system is used for generating a femtosecond laser beam and performing three-dimensional ablation on a sample. The second incident light path system is used for combining tunable lasers into a resonance ionization light path. Compared with the prior art, the application can realize in-situ micro-area ultra-high resolution element and isotope analysis and imaging, realize ultra-trace element, isotope analysis and isotope ratio analysis under strong matrix interference, and can also perform high-resolution molecular structure and composition analysis and Raman scattering imaging.

The invention relates to the technical field of ocean observation, in particular to an air-sea flux observation system platform attitude monitoring and correcting system which comprises a buoy platform composed of a buoy body and a buoy anchoring system, and a buoy platform attitude monitoring system used for conducting attitude monitoring on the buoy platform is arranged on the buoy body. And the attitude correction system is used for performing attitude correction on the buoy platform and comprises a coordinate system rotating module, a shake correction module and a tilt correction module. The problem that the accuracy of data observed by an air-sea flux observation system is difficult to guarantee by buoy attitude change in the prior art is solved.

According to the living cell observation device, the observation system and the observation method, a light beam generated by an illumination element arranged below a living cell is incident to a pyramid lens array module located above the living cell, the pyramid lens array module reflects the incident light beam at the same direction angle, and the reflected light beam is diffracted into direct light and diffracted light when passing through the living cell; the phase plate causes the direct light and the diffracted light to generate a phase difference, and the direct light and the diffracted light having the phase difference interfere with each other on the imaging element to generate a phase difference image of the living cells. The volume of the observation device is greatly reduced, especially the reduction in the height direction enables the observation device to be easily placed in an existing culture box, real-time and full-life-cycle observation of cells is realized, meanwhile, the pollution of the cells and the change of a culture environment are avoided, and the observation efficiency is improved. The advantages of a current phase difference type microscopic observation system in the aspect of image effects are reserved, and the requirements for precision and stability of a movement mechanism are lowered.

The invention discloses a vehicle economy and stability energy optimization method based on an HCU, and relates to the technical field of new energy vehicle control and energy management, and the method comprises the following steps: building a bus time frequency observation system, carrying out the phase fusion of a voltage signal and a current signal, and generating an impedance track and an energy spectrum baseline; coherent decomposition is carried out based on the energy spectrum base line, motor regeneration energy feedback pulse characteristics are extracted, a high-voltage accessory start-stop time sequence is identified, and a resonance coupling frequency band is positioned and superposed to an impedance track. Transient disturbance is identified through fusion of an impedance track and an energy spectrum, an interference source is predicted and positioned in combination with resonance frequency band tracking and a risk cone, virtual impedance, amplitude limiting shaping, peak shifting regulation and control and anti-mirror vibration suppression are sequentially applied, a moving damping belt is constructed, bus energy disturbance is accurately weakened, residual energy is rapidly absorbed, and the reliability of the bus energy disturbance is improved. Therefore, the system stability and the energy scheduling efficiency are enhanced.

An observation system 1 includes: a ground device 10 that is installed on the ground; and a balloon 20 that moves to the stratosphere P. The balloon 20 includes: weather sensors N that observe the atmosphere to obtain an observation result; and a control device 30 that communicates with the ground device 10 and controls the weather sensors. The ground device 10 transmits, to the control device 30, control signals for the weather sensors N. The control device 30 controls the weather sensors in accordance with the control signals received from the ground device 10.

To provide a novel technique of observing change of a water surface different from a wave.SOLUTION: The observation program causes a computer to execute processing of: acquiring data of a radar image formed by periodically observing a sea area as an observation target by a radar device using electric waves of 0.01 m-2 m lengths; calculating an average image formed by averaging the radar image shown by the acquired data at every specific average time in order of the observation times; and outputting information based on the calculated average image.SELECTED DRAWING: Figure 6