1109 results about "Observation system" patented technology

Provided herein is a tunnel electromagnetic joint scanning detection method and a system thereof. It introduces a new tunnel electromagnetic detection system called TEJS, realizes three-dimensional joint inversion of multi-component, time domain and frequency domain signals, and forms tunnel joint scanning imaging. This method adopts the mode of surface transmission, underground reception, multi-source transmission and multi-component reception. Based on an observation system, a large number of stochastic models are constructed and numerically simulated, and a large number of training data sets are constructed by using the simulated data to complete the training of UNet model. This model can realize real-time and fast imaging of the position of the low-resistance anomalous body in three-dimensional space. An algorithm forms a dual checking mechanism through surface imaging and underground imaging, which constrains the three-dimensional spatial position of anomalous body together to prevent misjudgment.

A transient electromagnetic scanning detection system and method. An all-terrain vehicle carrying an instrument tows a transmitting coil and a receiving coil having an offset distance of 6-8 meters therebetween, wherein the transmitting coil arbitrarily rotates within an XZ plane, the receiving coil moves in an X direction and a Z direction, and GPSs are carried on the coils. During working, the vehicle stays for a short time every few meters, the transmitting coil performs rotary scanning until 180 degrees, and the receiving coil completes scanning detection of one point; and the process is repeated when the vehicle travels to the next detection point. The inversion is implemented by means of a deep learning model, a large number of resistivity models are randomly generated, and on the basis of an observation system, numerical simulation is performed on an induced electromotive force corresponding to each resistivity model. On the basis of induced electromotive force data and the resistivity models, a deep learning framework-based TEM prediction model is established, wherein the induced electromotive force data is used as an input, and a two-dimensional resistivity structure below the coils is used as an output. The vehicle collects TEM data and imports same into a deep learning network to obtain an underground resistivity structure below the coils in real time to perform transient electromagnetic scanning detection.

The invention discloses a multi-source heterogeneous data fusion method of a sky tower ground well carbon flux observation system, which comprises the following steps of: 1, preprocessing and automatically correcting data to solve the problems of noise, space-time inconsistency, format difference and systematic error in a multi-source heterogeneous data acquisition process; the multi-source heterogeneous data are respectively from satellite remote sensing, unmanned aerial vehicle remote sensing, an eddy covariance flux tower, ground observation and underground observation; step 2, multi-level data fusion: extracting multi-source heterogeneous data from original signals step by step to form unified high-dimensional feature expression, and finally outputting real-time observation data of carbon emission and carbon sink of the coal mining area through a decision model; and step 3, performing comprehensive observation and application output, performing real-time analysis according to the real-time observation data, and outputting a detection result and early warning information. According to the method, an advanced algorithm with adaptive correction and multi-level fusion capability is adopted, and data fusion of five observation modules of the sky tower surface well is realized, so that the key bottleneck in the prior art is broken.

The invention relates to the technical field of three-dimensional observation, in particular to a geological deformation three-dimensional observation system and method, and the method comprises the steps: multi-dimensional data collection: synchronously obtaining data, and collecting ground temperature gradient field data and underground water flow velocity field data of a monitoring region; data space-time calibration processing: performing space-time reference unification processing on the acquired data to generate a multi-source displacement data set after space-time calibration; cold door parameter extraction: generating an environment coupling parameter matrix based on ground temperature gradient field data and underground water flow velocity field data in multi-dimensional data acquisition; modeling a three-dimensional deformation field: generating an initial three-dimensional deformation field model; dynamic model correction: performing iterative correction on the initial three-dimensional deformation field model to generate an optimized three-dimensional deformation field model; and visual early warning output: generating an early warning signal with a risk level identifier. According to the method, a multi-source heterogeneous data fusion system is constructed, and a cold geological parameter dynamic compensation mechanism is combined, so that high-precision three-dimensional deformation field modeling and early warning are realized.

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.

An information processing apparatus (100) according to one embodiment of the present disclosure includes a guide image generation unit (133) configured to sum up a plurality of images each including spectral information regarding a biomarker, and perform a division on a result by a number of summed images to generate a guide image for correction.

The invention belongs to the technical field of visual displacement monitoring, and particularly relates to a reservoir dam visual displacement real-time monitoring method, which comprises the following steps: S1, designing an observation bracket capable of synchronously supporting visual and manual measurement and an observation target with multiple feature matching points; s2, performing estimation based on the relative attitude of the visual camera and the observation target; s3, sub-pixel-level coordinate tracking and data conversion of the observation target are carried out; s4, resolving the horizontal and vertical displacement of the reservoir dam observation target. The observation support can synchronously support visual and manual observation, facilitates the development of manual check and measurement work, improves the working efficiency, and can guarantee the precision and reliability of a visual displacement observation system at the same time.

The invention belongs to the technical field of automatic sailing of unmanned ships, and particularly relates to an automatic sailing temperature-salinity-depth profile observation system and method for mesoscale eddy prediction, the system is arranged on an unmanned ship and connected with an automatic retractable winch, and the system comprises a temperature-salinity-depth probe device arranged at the tail end of an A frame of the automatic retractable winch and used for retracting through the automatic retractable winch; lifting is realized, so that temperature, salinity and depth parameters of seawater with different profiles are measured, and key ocean data are provided for mesoscale eddy prediction; the data is transmitted to a mother ship / shore base end through a remote intelligent navigation control system; and the remote intelligent navigation control system is used for receiving various data and sending the data to the mother ship / shore base end, and controlling the driving process or task process of the automatic winding and unwinding winch, the temperature-salinity-depth probe device and the unmanned ship according to the instruction of the mother ship / shore base end. According to the invention, the laying and recovery of the temperature-salinity-depth profile measuring equipment can be controlled when the ship is sailing, and the laying and recovery of the sailing type temperature-salinity-depth profile measuring equipment can be carried out on the unmanned ship after upgrading and reconstruction.

The invention discloses a global enhancement method for a wide-area astronomical image. The method comprises the following steps: carrying out high-frame-frequency image acquisition on a starry sky area; converting the reference star from a star catalogue position to an observation position, and resolving a linear negative film model; geometric distortion correction is carried out based on the resolving result; based on the image after geometric distortion correction, matching and identifying a reference star in a full view field, and obtaining celestial coordinate information of all fixed star images in the view field; on the basis of celestial coordinate information, correcting a poorer astronomical effect of the astronomical image, establishing an ideal coordinate system taking the center of a view field as a tangency point, and projecting a time sequence observation image to the ideal coordinate system; translating the processed graph, accumulating all translated images, and averaging all accumulated pixel positions to realize image superposition enhancement, thereby effectively improving the dynamic range of a detector and the detection capability of a wide-area astronomical observation system; and meanwhile, the signal-to-noise ratio of the astronomical image can be effectively improved, and the astronomical image centering and light measuring precision can be further improved.

The invention discloses a design method and system of an earthquake geoelectric field observation device, and relates to the technical field of earthquake monitoring, firstly, through a scientific pole arrangement mode and calculation of natural potential difference, electric field changes before and after an earthquake can be effectively monitored and described, and accurate and reliable data support is provided. And secondly, the layout in eight directions shaped like the Chinese character'mi 'and a multi-electrode connection form are adopted, so that the flexibility and adaptability of the observation system are enhanced, and the requirements of different terrains and environments are met. And meanwhile, a measuring line orientation selection and electrode stability judgment mechanism is added in the design, so that the reliability and the precision of data are further improved. Besides, the system is convenient to maintain and upgrade, a good monitoring effect can be provided in practical application, and an effective technical guarantee is provided for seismic research and monitoring forecast.

The invention discloses a Brazilian splitting experiment device and method based on multiple heating modes, and belongs to the technical field of splitting experiments. Comprising a base, a Brazilian splitting clamp, a kettle body, a heating system, a heat transfer fluid injection hole, an axial pressure head, a temperature and pressure monitoring and heat transfer fluid outlet, a magnetic particle imaging system and a high-temperature early warning system, the temperature and pressure monitoring and heat-carrying fluid outlet is used for being connected with an external real-time observation system to conduct temperature and pressure monitoring and serves as an outlet of heat-carrying fluid at the same time. The magnetic particle imaging system is used for observing the distribution state of nano magnetic induction particles in the kettle body; the real-time high-temperature Brazilian splitting experiment can be carried out in multiple heating modes such as convection heating, conduction heating and supercritical fluid heating, the generation and expansion process of cracks in a sample can be monitored in real time, and the device is suitable for testing the strength and crack expansion of rocks under the thermal stress condition possibly encountered in actual engineering.

The invention relates to the technical field of rock / soil mass seepage-stress coupling, and discloses a rock-soil mass seepage-stress coupling visualization device and a test method thereof. The rock-soil body seepage-stress coupling visualization device integrates a seepage pressure system controlled by a high-precision plunger pump, a confining pressure and back pressure control system, a loading and measuring device and a visualization observation system composed of a PIV particle image measuring instrument and a three-dimensional XTDIC full-field strain measuring system, and an experiment platform with comprehensive and accurate functions is formed. The device not only can accurately control and measure the seepage pressure, but also can carry out permeability research on the rock / soil body in various stress states, and directly observes and records the seepage field and the structural evolution process in the rock / soil body through an intuitive visual means. The device not only improves the experiment efficiency, but also greatly enhances the intuition and accuracy of research, and provides powerful support for deeply understanding the microscopic and macroscopic behaviors of the rock / soil body under the seepage-stress coupling action.

The invention discloses a soft soil foundation riprap slope embankment rear heaped load cooperative construction monitoring system, which comprises a heaped load monitoring module used for monitoring the settlement amount and the deformation rate of a heaped load area by adopting a video method settlement displacement observation system; the foundation monitoring module is used for monitoring the hole pressure and displacement of the foundation according to the distributed measuring points; the data processing module is used for quantifying the data mapping relation between the settlement volume and the deformation rate of the loading area and the foundation pore pressure and displacement according to the time sequence, integrating the data according to the data fusion technology and calculating the real-time safety coefficient of the foundation; and the cooperative control execution module is used for triggering a dynamic control strategy according to the safety coefficient and dynamically adjusting the stacking rate and path. The invention further discloses a collaborative construction monitoring method for piling and loading behind the soft soil foundation riprap slope embankment. According to the method, the problem of stability control in pile loading construction behind the riprap embankment of the soft soil foundation is solved, and balance between safety and construction efficiency is achieved.

The invention discloses a sky tower ground well integrated carbon emission and carbon sink comprehensive observation system, which comprises a satellite remote sensing module and an unmanned aerial vehicle remote sensing module, which are used for acquiring mining area environmental parameters; the vorticity covariance flux tower is used for collecting wind speed, temperature, CO2 and other greenhouse gas concentration data in real time and calculating the carbon gas exchange flux in the atmosphere; the ground monitoring module is used for monitoring carbon emission and carbon absorption indexes in the surface environment in real time; the underground monitoring module is used for monitoring underground carbon flux data and underground environment parameters; the satellite remote sensing module, the unmanned aerial vehicle remote sensing module, the vortex covariance flux tower, the ground monitoring module and the underground monitoring module are all connected with the central data processing platform in a wired and / or wireless mode, and the central data processing platform is used for generating a unified and accurate mining area carbon emission and carbon sink dynamic map. According to the invention, synchronous observation and data fusion of five observation modules of the sky tower ground well are realized, and full-scale and real-time dynamic observation of carbon emission and carbon sink in a coal mining area is realized.

The invention provides a high-dynamic five-axis laser processing device based on double optical wedges, which can effectively improve the performance of five-axis laser processing equipment, and comprises a laser generator, a light field regulation and control module, a double-optical-wedge light beam offset module, a focusing and beam expanding module, a spectroscope, an observation system, a scanning module, a focusing module, a motion platform, a control system and operation software. The laser generator generates a laser beam, and the laser beam enters the double-optical-wedge light beam offset module after being regulated and controlled by the light field regulation and control module. The double-optical-wedge light beam deviation module deviates a laser beam from an optical axis, and the laser beam is parallel to the optical axis and enters the focusing and beam expanding module; the focusing and beam expanding module amplifies the off-axis amount of the laser beam and changes the divergence angle and diameter of the laser beam; then the laser beam enters the scanning module through the spectroscope; the laser beam is not parallel to the optical axis after passing through the scanning module, and finally the laser beam is transmitted to the machining surface on the motion platform after being focused through the focusing module.

The invention discloses a method and system for measuring the time delay of a satellite laser ranging system based on a space target, relates to the technical field of laser ranging, and aims to measure the time delay of the system by using a geostationary satellite with a stable orbit and a long distance as a space target. According to the method, the influence of error sources such as a ground observation system, a space transmission link and an observation target on the time delay of the laser ranging system is fully considered. By implementing the dynamic observation process, the problem that a static ground target can only obtain the system time delay under the pointing of a single telescope is solved, and the common obvious difference between an actual observation condition and an ideal setting condition is overcome, so that the accuracy of a laser ranging result is improved.

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 provides an observation system for bubble motion characteristics. The observation system comprises an experiment water tank; the gas power generation device is used for pumping gas under different power conditions into the experimental water tank to form bubbles, and the gas power generation device is provided with a gas incidence section extending below the liquid level in the experimental water tank; the observation device comprises a camera platform, a continuous laser and a light uniformizing plate, the camera platform comprises a plurality of side high-speed cameras arranged in an array mode and an upper high-speed camera located above a gas incidence section, and the gas incidence section should be located in an observation area of the camera platform; and the data acquisition and control unit is used for controlling the observation device and pre-processing and analyzing the obtained original data to obtain bubble motion characteristics under different experiment conditions, interaction between bubbles caused by bubble motion and influence of the bubble motion on the flow field. According to the invention, the whole process of bubble generation, development, maturation and formation of a boil-vortex structure on the water surface can be observed.

The invention relates to the technical field of environment detection, and discloses an extensible underground water and soil in-situ online observation system, which comprises an underground water and soil automatic online monitoring management platform, an underground water control module, a soil control module and an auxiliary module, the underground water and soil automatic on-line monitoring management platform can check the state of the detection module and the detected data. The problems that when an existing underground water and soil on-line monitoring device monitors underground water and soil through an on-line sensor, the sensor may have drifting or errors in a complex environment, and the data accuracy is affected are solved; in remote areas and complex terrains, data transmission interruption can be caused by network instability; the problems that underground water and soil equipment are managed separately, data output is not synchronous, the data analysis difficulty is increased, and complex data analysis and modeling are difficult to achieve are solved.

The invention discloses an underground space unmanned sensing detection system and method. An unmanned detection carrier platform obtains underground space surface data through a sensing radar holder and an unmanned aerial vehicle; then determining a detection target area according to the acquired data and planning a driving path; meanwhile, ad-hoc network relay nodes are placed at different positions on the unmanned detection carrier platform through a mechanical arm in combination with signal strength, an ad-hoc network is finally formed, and normal communication of the unmanned detection carrier platform and the unmanned aerial vehicle in the underground space is guaranteed; when the unmanned detection carrier platform travels to a target area, a seismic observation system is formed by arranging node type detectors, and an active seismic source and a transient electromagnetic detection device are respectively started, so that seismic wave data and transient electromagnetic data of the target area are obtained; according to the method, perception modeling of the underground space can be realized in an unmanned mode, and the overall detection data of the underground space can be accurately acquired, so that subsequent analysis and processing of the underground space data are facilitated.

The invention discloses a three-dimensional laser post-ionization-secondary neutron particle mass spectrometer which comprises a vacuum pool, a sample introduction system, a primary ion emission system, a three-dimensional laser post-ionization system, an ion optical system, a time-of-flight mass spectrometer, an observation system and a computer control system. By adjusting the wavelength, the frequency and the energy value of the laser, resonance between the energy of laser photons and the electron energy level of target molecules can be realized to realize selective ionization of substances, and the method has extremely high element, nuclide and molecule selectivity, can provide the sensitivity of an instrument, and can be used for mass spectrometry. The device can be applied to single-cell imaging analysis test of lipid, metabolites, small-molecule drugs and part of elements with the molecular weight smaller than 1000 Da, the problems of space metabolome small-molecule metabolite test and ultrahigh spatial resolution imaging are solved, and the device can be independently used as an SIMS when laser post-ionization is not used.

A submarine landslide-seabed-pipeline three-dimensional mechanical analysis experiment system comprises a high-speed landslide driving system, a high-pressure photoelastic observation system, a three-dimensional stress acquisition system and a central controller. The high-speed landslide driving system drives the photoelastic landslide body to achieve high-speed linear motion under the gradient condition through a crawler-type driving mechanism, and the gradient high-speed motion characteristic of a real submarine landslide is simulated. The high-pressure photoelastic observation system comprises a photoelastic seabed, a photoelastic pipeline assembly, a high-pressure sealed cabin and a top hydraulic loading mechanism, and pore pressure distribution and a three-dimensional stress field in the impact process are dynamically developed through the photoelastic effect by combining the refractive index difference of fluid in pores and a photoelastic material with pore pressure data. The three-dimensional stress acquisition system captures multi-angle photoelastic stripes in real time and solves a global three-dimensional stress tensor. The central controller cooperatively regulates and controls all the systems, and control over high-speed movement, the high-pressure environment and material variables is achieved. The system well meets the quantitative research requirements of the submarine landslide disaster-causing mechanism and the protection design.

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 belongs to the technical field of underwater sea condition data monitoring, and discloses an underwater online intelligent monitoring analysis system and method. According to the method, an acoustic Doppler current profiler (ADCP) carried by a seabed observation system is used for carrying out seabed flow measurement, the speed and direction of water flow are obtained, and a binocular camera carried by the seabed observation system is used for determining the size of underwater organisms; performing image mode recognition and classification on the underwater creatures by using an image recognition algorithm in the underwater observation system, and recognizing the types and the number of the underwater creatures; transmitting data to a communication module of the virtual anchor system unmanned platform by using the armored cable, performing error control on the data transmitted by the armored cable, and detecting and correcting error information of the data in the transmission process; and judging whether the returned information is successful or not through an information transmission control method in the underwater observation system. According to the invention, the method can achieve the image recognition of Branchiostoma under a complex sea condition, and improves the operation efficiency and safety.

The invention provides an occultation constellation observation system simulation and forecast capability evaluation method, which comprises the following steps of: simulating and calculating an atmospheric refractive index by using a GNSS (Global Navigation Satellite System) radio occultation refractive index observation operator; simulating and calculating a one-dimensional bending angle by using a GNSS radio occultation one-dimensional bending angle observation operator; simulating and calculating a two-dimensional bending angle by using a GNSS radio occultation two-dimensional bending angle observation operator; correcting the bending angle of the L2 frequency on the basis of the difference between the bending angles of the L1 and L2 frequencies; and completing quality control of occultation observation data based on the atmospheric refractive index, the one-dimensional bending angle, the two-dimensional bending angle, the corrected bending angle of the L2 frequency and the actually collected occultation observation data, wherein the atmospheric refractive index, the one-dimensional bending angle and the two-dimensional bending angle are calculated through simulation. By establishing the error evaluation model for the autonomous occultation constellation observation data, the assimilation application effect of the autonomous occultation constellation observation data in the numerical weather forecasting system can be optimized, and direct technology and experience can be provided for business operation of future observation data in the numerical weather forecasting system.

The invention discloses a tunnel earthquake advanced detection method based on observation system optimization and angle domain reverse time migration imaging, and the method specifically comprises the steps: 1, setting an observation system with the same shot-geophone point in a tunnel, and carrying out the collection of a tunnel earthquake record; 2, constructing a rectangular grid geologic model; 3, solving a tunnel seismic source seismic wave field; 4, solving a tunnel detector seismic wave field, and obtaining a tunnel reverse time migration imaging result; step 5, solving a Poynting vector # imgabs0 # of the seismic wave field of the tunnel seismic source and a Poynting vector # imgabs1 # of the seismic wave field of the tunnel detector; step 6, obtaining a tunnel seismic source seismic wave field and a tunnel detector seismic wave field of an angle domain; and step 7, obtaining a high-precision imaging result. According to the method, the imaging precision of tunnel advanced detection can be effectively improved, so that the front geological structure can be identified more accurately.

A release device for a polar profile observation system includes a support frame, a release base, a control electronic cabin, a release mechanism, and a floating body. The support frame performs an up and down profile movement along the under-ice guide cable, and is bonded with the profile observation system before the profile observation system is released. The release base is configured to provide an installation platform for the release mechanism. The control electronic cabin is configured to receive a release signal sent by the profile observation system and enable the release mechanism. The release mechanism is configured to perform a release task, so that the profile observation system can be detached from the support frame. The floating body provides buoyancy to balance the gravity of the release device.

The invention discloses a coal mine tunnel shield excavation-following multi-frequency alternating current parallel advanced detection method and system, and the method comprises the steps: arranging a three-direction data observation system in a tunnel excavation direction; collecting a three-direction potential difference amplitude value and a three-direction potential difference phase value for the arranged three-direction data observation system by adopting a multi-frequency pseudo-random galvanic couple source emission mode; the obtained three-direction potential difference amplitude value and the potential difference phase value are sent to professional software based on a Cole-Cole model for inversion, and a three-dimensional apparent resistivity image and a three-dimensional apparent charging rate image are obtained; according to the method, the problems that a traditional advanced detection method is insufficient in space positioning of a geologic body and detection is carried out while excavation under the tunnel shield condition are solved, and technical support is provided for tunnel shield excavation-while-excavation water disaster detection.

The invention discloses a shot point arrangement method. The method comprises the following steps: acquiring a work area in which shot points are to be arranged and theoretical shot points in the work area; creating a first grid in the work area according to a preset size to obtain a plurality of grid points; screening out a first grid point which can be used as a candidate shot point according to the gradient of each grid point and the position of each grid point in the work area; constructing a second grid by taking each theoretical shot point as a center; and one first grid point is selected from each second grid to serve as a target shot point. The invention further discloses a system, computer equipment and a readable storage medium. According to the scheme provided by the invention, the difficulty of field construction of shot points is reduced while obstacles in a work area can be avoided, gridding uniform distribution of the shot points in the work area is realized, uniformity of surface element attributes of an observation system is ensured, and the quality of three-dimensional seismic acquisition data can be improved.

The invention relates to the technical field of marine environment monitoring, in particular to an exchange area sea area three-dimensional collaborative observation system based on submerged buoys, which comprises a data acquisition module, an instruction generation module, a buoy dynamic response module and a space-time alignment and fusion module. The method comprises the following steps: acquiring original water observation data in multiple depth layers through a subsurface buoy system, and constructing a structured feature data set; identifying an ocean abnormal phenomenon based on the abnormal detection model and generating a trigger instruction; the buoy system analyzes the instruction and then drives the lifting mechanism to be accurately positioned to a target depth layer, and multi-sensor synchronous acquisition is executed according to a matched observation mode; and the fusion module adopts time calibration and a Kriging interpolation algorithm to realize three-dimensional data reconstruction, and outputs a space-time synchronous three-dimensional data set. The method has the characteristics of intelligent recognition, dynamic response, multi-parameter fusion and the like, the capture precision and observation efficiency of the complex process of the exchange area are improved, and technical support is provided for ocean dynamic process research and ecological monitoring.