142 results about "Observation system" patented technology

This invention discloses a crop-adaptive agricultural meteorological observation system, belonging to the field of agricultural meteorological observation technology. It integrates multiple devices to collaboratively measure various meteorological variables to indicate weather conditions, deploys them in a grid-like layout, and collects and transmits data regularly. It collects key growth parameters according to crop growth stages and synchronously correlates them with meteorological data; optimizes data and accurately matches it to construct a fusion dataset; establishes a correlation model to identify key meteorological factors; adjusts observation parameters according to crop needs; sets two-level early warnings and pushes information through multiple channels; retrieves data from multiple dimensions and securely stores it; and provides visual operation and parameter setting functions. This invention improves the accuracy of meteorological data through multi-variable collaborative observation, dynamically adapts to the needs of different crop growth stages and varieties, provides comprehensive regional collaborative observation coverage, timely and targeted early warnings, supports linkage with external devices, promotes the refinement and intelligence of agricultural meteorological observation and planting management, and helps ensure crop growth.

The application provides a full node acquisition seismic record rapid field processing monitoring method, which comprises the following steps: step 1, a processing scheme is established in advance, a standardized naming process is established, and processing parameters are determined; step 2, a standardized data naming and operation management mode is designed according to the actual situation of a work area; step 3, a block observation system is established, conventional monitoring is performed, and beam merging and stacking are carried out; step 4, quantitative statistical analysis is performed, and integrated information feedback is carried out; step 5, an auxiliary trace head is set, rapid monitoring data extraction is carried out by using the auxiliary trace head, and the monitoring process is assisted; and step 6, monitoring results and a monitoring profile are obtained. The full node acquisition seismic record rapid field processing monitoring method meets the needs of rapid field construction, reduces the workload of field monitoring personnel, saves labor and cost, and accelerates the overall monitoring progress.

The application discloses a time-frequency electromagnetic exploration method and system for improving exploration depth and resolution, and relates to the technical field of exploration. The method comprises the following steps: arranging a multi-directional excitation source and a mobile remote end array observation system, and sparsely collecting time-frequency electromagnetic signals; reconstructing data and reducing noise based on compression sensing; constructing a time-frequency dual-domain joint inversion target function, introducing cross gradient constraints and physical constraints, and realizing intelligent collaborative inversion through depth reinforcement learning; outputting a high-precision three-dimensional geological model through Bayesian uncertainty analysis and multi-source data fusion verification; and the system comprises excitation, observation, data processing, intelligent inversion and interpretation visualization modules. The scheme improves exploration depth and resolution, improves data acquisition and inversion efficiency, and guarantees the accuracy of geological interpretation.

The application relates to the technical field of petroleum geophysical exploration processing, and provides a method, device, equipment, medium and product for improving the signal-to-noise ratio of reconstructed data, which is characterized in that the signal-to-noise ratio of each trace of a target layer in an irregular observation system is calculated as the signal-to-noise ratio of the target layer, a three-dimensional array is constructed for data of a regular observation system designed based on the irregular observation system, the three-dimensional array is valued based on the irregular observation system, the three-dimensional array after the valuation is calculated based on three-dimensional curvelet transformation, and re-valuation is performed according to the signal-to-noise ratio of the data of the target layer of adjacent traces; the use proportion of high signal-to-noise ratio data in the reconstruction process is improved; after iterative calculation, the reconstructed data is output; the continuity constraint in each direction and the signal-to-noise ratio information of the target layer in the three-dimensional data can be fully utilized; the use proportion of high signal-to-noise ratio data in the reconstruction process is improved; and the signal-to-noise ratio of the reconstructed data is improved, thereby meeting the demand of exploration production.

The present application belongs to the field of tunnel advanced prediction technology, and discloses a tunnel advanced prediction electromagnetic observation system and a detection method. The observation mode of surface emission, underground reception, multi-source emission and multi-component reception is adopted. In this mode, high-power emission can be conveniently used, the problems of high transportation cost in the tunnel and low signal-to-noise ratio of collected data are improved, the coverage area of observation data can be improved, and more effective information can be obtained. Based on the observation system, a tunnel advanced prediction inversion algorithm based on deep learning is developed, quasi-three-dimensional joint inversion of multi-component, time-domain and frequency-domain signals is realized, the advantages of deep learning algorithm are fully utilized, time-domain and frequency-domain electromagnetic signals are fully utilized, the calculation efficiency and detection precision of inversion are improved, the non-uniqueness in inversion is reduced, and rapid imaging of underground space structure is realized.

This application discloses a method for deploying a three-dimensional observation system, an electronic device, and a readable storage medium. The method includes: acquiring the geophone parameters and shot point parameters corresponding to the unit template; constructing a target geophone set based on the geophone parameters; the target geophone set including the coordinates of each geophone; constructing rolling parameters and work area deployment boundaries; performing geophone rolling filling based on the target geophone set, work area deployment boundaries, and rolling parameters to obtain the latest geophone set; performing shot point filling based on the latest geophone set and shot point parameters to obtain a shot point set, and calculating the shot point relationship arrangement; and performing deployment verification based on the latest geophone set, shot point set, and relationship arrangement to obtain the three-dimensional observation system. This method improves the deployment efficiency of the three-dimensional observation system, and the deployment results are regular, facilitating construction.

To propose a working-face observation system and a working-face observation method which measure safely and accurately the strike and dip of all bedding planes that are exposed at a tunnel working face.SOLUTION: This invention relates to a working-face observation system 100 comprising: a 3D scanner 2 that takes pictures of a tunnel excavation face F to generate point group data of the aforesaid pictures of the excavation face F; and a processing unit 1. The aforesaid processing unit 1 comprises: a generating part 11 that generates a 3D model on the basis of the aforesaid point group data that are obtained with the aforesaid 3D scanner 2; a measuring part 12 that measures the strike and dip of the virtual bedding planes exposed at the aforesaid 3D-model working face; and a display control part 13 that displays the aforesaid measuring part as a virtual measurement instrument on the aforesaid 3D model.SELECTED DRAWING: Figure 1

This disclosure relates to a design method, apparatus, equipment, storage medium, and product for an observation system, applied in the field of seismic data acquisition technology. In this disclosure, multiple sets of seismic data at multiple scales are acquired for a target fault region. Based on each set of seismic data, the corresponding migration imaging data is determined. A relational scale for the observation system is determined based on each set of migration imaging data and each set of seismic data. This relational scale characterizes the relationship between the shot density of the observation system and the migration imaging data for the multi-scale fault region. Through forward modeling of fault regions at different scales, the shot density of the observation system required for high-precision migration imaging of faults at different exploration areas and scales can be confirmed. This allows for more precise deployment of the observation system design parameters corresponding to any geological requirement during seismic data acquisition. Therefore, the accuracy of seismic data acquisition can be improved.

This disclosure relates to the field of seismic exploration technology, and particularly to a method and apparatus for automatically acquiring reflection travel time for layer-by-layer tomographic velocity modeling. The method includes: acquiring a seismic time-averaged velocity function constructed from raw seismic data and a well-logging time-averaged velocity function constructed from raw well-logging data; calibrating the seismic time-averaged velocity function using the initial seismic average velocity and well-logging average velocity to obtain a calibrated seismic average velocity model; performing time-depth conversion using the calibrated seismic average velocity model to obtain calibrated depth-domain interpretation horizons; performing stacking velocity inversion layer by layer on the calibrated depth-domain horizons to obtain optimized depth-domain layer velocities; obtaining observation travel time using the stacking velocity as a criterion; and performing tomographic inversion using the calibrated depth-domain interpretation horizons, optimized depth-domain layer velocities, observation travel time, and CMP observation system to construct a depth-domain layer velocity model.

This application discloses an in-situ mechanical testing system and method for aero-engine turbine blade materials. The system includes: a multi-axis loading unit for simulating the multi-axis stress state of turbine blades under actual operating conditions; a high-temperature environment module for achieving localized rapid heating of the sample; an in-situ observation system integrating a long-working-distance high-temperature microscope and a high-speed camera for real-time observation and recording of the microscopic damage evolution of the turbine blade sample during high-temperature loading; and a control unit with a built-in temperature-stress decoupling control model and a microscopic defect identification model for real-time compensation of the thermal effects of plastic deformation and quantification of the damage factor D. This application achieves synchronous loading of centrifugal force through a three-axis servo actuator, accurately reproducing composite stress with small load errors, overcoming the limitation of traditional single-axis testing in simulating multi-source loads on blades. Simultaneously, this application reduces interference from plastic work-induced temperature rise, solving the technical problem of data distortion caused by temperature drift in high-temperature testing.

This invention relates to the field of marine engineering geological research technology, specifically a device and method for simulating methane migration and release in deep-sea cold seep systems under the influence of fractures. It includes, from top to bottom, a methane release simulation system, a fracture gas migration simulation system, and a gas flux control system. The gas flux control system has a variable channel that divides its cavity into an upper pressure regulating chamber and a lower buffer chamber, with the lower buffer chamber connected to a formation gas generation simulation system. The bubble outlet at the top of the fracture gas migration simulation system is connected to the methane release simulation system, and the gas channel at the bottom of the fracture gas migration simulation system is connected to the upper pressure regulating chamber of the gas flux control system. A PIV (Positive Air Volume) observation system is installed on the outer side of both the methane release simulation system and the fracture gas migration simulation system. It can simulate the migration and release process of methane gas in fracture-developed cold seep systems under extreme deep-sea environments.

The application provides a rock mass weak layer original state solution modification test device and method, which comprises a normal load system for applying a normal stress to a weak layer to be tested, a solution modification system for modifying the weak layer to be tested, a shear load system for applying a shear stress to the weak layer to be tested, and an observation system for observing deformation data in a test process; the normal load system is connected with a rock mass above the weak layer to be tested to simulate an in-situ stress state, the solution modification system is arranged around the weak layer to be tested to realize solution wrapping modification, the shear load system is connected with the weak layer to be tested on a side to carry out a shear mechanical test, and the observation system is arranged corresponding to the weak layer to be tested to collect deformation parameters. The application can carry out the weak layer original state solution modification test, and accurately obtains an influence mechanism of the solution modification on mechanical properties of the weak layer through the shear test.

The invention relates to a method for observing a sample comprising a set of living beings, implemented by an observation system (10) comprising a lensless imaging unit (34) and comprising: - a stage of obtaining an image of the sample; and - an image analysis stage comprising: - a calculation of a probability that a living being belongs to a preset species by applying a neural network to obtain a belonging probability; - a verification that a reliability condition of the belonging probability is satisfied by comparing a value resulting from the probability with a preset threshold; and - a determination of information related to the identity of the living being, which belongs to a species that is among the preset species or, when the reliability condition is not satisfied, to a species that is not among the preset species.

The application discloses an underground space unmanned sensing and detecting system and method, wherein an unmanned detecting carrier platform acquires underground space surface layer data through a sensing radar holder and a unmanned aerial vehicle; then, the detecting target area is determined and the driving path is planned according to the acquired data; meanwhile, the unmanned detecting carrier platform places self-organizing network relay nodes at different positions through a mechanical arm and in combination with signal strength, so that a self-organizing network is finally formed, and the communication between the unmanned detecting carrier platform and the unmanned aerial vehicle in the underground space is ensured to be normal; when the unmanned detecting carrier platform drives to the target area, a seismic observation system is formed through the laid node type detector, and an active seismic source and a transient electromagnetic detecting device are started respectively, so that the seismic wave data and the transient electromagnetic data of the target area are acquired; the application can realize the sensing modeling of the underground space in an unmanned mode, and can also accurately acquire the detecting data of the whole underground space, thereby being convenient for the subsequent analysis and processing of the underground space data.

(Main claim) Mobile system for defense against unmanned aerial vehicles, comprising: • a radar system for target detection, • an electro-optical and / or infrared-based observation system, • an extendable or foldable mast platform, • a directional jammer with at least one directional antenna on a stabilized platform, • a central control unit, and • an operating and display unit, characterized in that the central control unit calculates a dynamic jamming vector from the sensor data, which determines both the orientation of the directional antenna and the spectral distribution of the jamming signal.

The application provides a microseismic real-time monitoring method and device based on compressed sensing and 5G node collection, solves the problem that microseismic monitoring data is easy to be submerged in noise interference, and microseismic data collection equipment cannot transmit data in real time, or the transmitted data is uneven and incomplete. It comprises the following steps: collecting data, establishing a geological and geophysical model, simulating fracturing based on the parameters of the well to be fractured to demonstrate the parameters of the microseismic monitoring observation system; establishing an adaptive optimal learning dictionary to form a compressed sensing collection scheme; conducting a due diligence investigation of field obstacles and interference sources to form a compressed sensing active obstacle avoidance scheme; using a 5G node collection system to collect field data; applying compressed sensing data reconstruction technology to reconstruct the collected field data to form three-dimensional microseismic monitoring data; carrying out microseismic data processing and interpretation, and feeding back the microseismic analysis results to the fracturing site to realize real-time monitoring of the fracturing construction process.

This invention discloses a method for extracting ionospheric scintillation factors based on DORIS dual-frequency observations, belonging to the field of space weather monitoring and satellite navigation technology. By constructing a cycle slip detection and low elevation angle control method suitable for the DORIS system, the RODTI (Rate of Change in Total Electron Content) factor of the ionosphere is extracted. A two-dimensional grid background field of ROTI is constructed using GPS observation data from IGS stations, achieving spatiotemporal matching between DORIS and GPS scintillation factors. Furthermore, a support vector regression method considering latitudinal constraints is introduced to normalize and correct the RODTI amplitude, solving the problem of inconsistent scintillation factor amplitudes between different observation systems. This yields a more accurate RODTI with amplitudes consistent with ROTI, thus forming a complete method for extracting ionospheric scintillation factors based on DORIS dual-frequency observations. This method can reliably reflect the spatiotemporal distribution characteristics of ionospheric scintillation on a global scale, providing a new data source for constructing a multi-source ionospheric scintillation dense monitoring network covering oceans, polar regions, and other areas, and has broad applicability.

To provide a small, easy-to-handle portable biological information observation device. [Solution] A portable bio-information observation device according to one embodiment of the present invention is a portable bio-information observation system comprising at least an irradiation device for irradiating the lymphatic system and / or blood vessels as the part to be observed with photon energy, an imaging device for imaging the visualized part to be observed, a display device, and an operation unit, wherein the system comprises a main body having the irradiation device, the imaging device, and the display device, the main body having a photon energy emission unit and an imaging unit on one side of its opposing surface, a display unit on the other side of the opposing surface, and an illumination control unit for controlling the visualization light of the illumination device, the illumination control unit controlling the irradiation device for irradiating the photon energy to have a wavelength, brightness, and brightness distribution set according to the visualization conditions of the part to be observed, based on a command from the operation unit.

This application provides a method and system for case observation, belonging to the field of medical system technology. The method is applied to a case observation system, which includes a database, a central management terminal, regional management terminals, clinical monitoring terminals, doctor terminals, and patient terminals. In this application embodiment, the central management terminal sets up regional management terminals for each region based on clinic information in the database. The regional management terminals then allocate clinical monitoring terminals. The clinical monitoring terminals configure case observation tasks for the doctor terminals. The doctor terminals send medication orders to the user terminals based on the tasks and receive medication feedback information, which is then reported to the database. This hierarchical management approach enables the reporting and management of case observation information across multiple regions. Finally, the database stores the data, facilitating the retrieval of case data and enabling further observation and analysis of the case data.

The application discloses a strong ground motion risk assessment method and system fusing multi-source data, relates to the technical field of multi-source data fusion, and calculates the time offset relationship of a satellite positioning sequence Gns and a radar deformation sequence Ins relative to a unified time reference Tref by using the unified time reference Tref, and performs time correction processing on a multi-source original set Dor by constructing a time offset matrix Tmx, so that a corrected data set Dsc with a unified time structure is formed. Fusion analysis is performed on the corrected data set Dsc to form a fusion feature set Fus, and the vibration propagation relationship is calculated based on the fusion feature set Fus to obtain a propagation path Pth, and finally, a risk result Rsk and a corresponding risk level Lev are output. The problem of misjudgment of the vibration propagation order caused by the time record difference of different observation systems can be avoided, and more reliable data basis is provided for earthquake disaster warning and emergency decision-making.

The application discloses a water body carbon flux robot observation system for algal community analysis, comprising a cooperative observation module, an edge calculation and modeling module, a dynamic coupling carbon flux prediction module and a digital twin feedback optimization module. The system collects algal images and environmental parameters through multiple robots in a distributed manner, and generates a global feature set using federated learning at an edge aggregation node; the edge module ensures the real-time inference efficiency of the core model through model lightweight and calculation scheduling; the dynamic coupling module extracts features using a multi-branch network and adaptively fuses them, and outputs real-time carbon flux data and future trends; the digital twin module generates an optimized observation strategy based on the predicted trend and feeds it back to the robot, dynamically adjusting its observation path and sampling density. The application realizes a closed-loop autonomous operation from data perception, in-situ calculation, dynamic prediction to strategy optimization, significantly improving the real-time performance, adaptability and resource utilization efficiency of carbon flux monitoring.

This invention discloses a centrifuge testing and observation system suitable for suction anchors. The system includes a test foundation and a suction anchor model housed inside a model box, a pulley support assembly on the upper part of the model box, a camera support, a laser displacement measurement assembly, a horizontal loading mechanism, and a support frame. The horizontal loading mechanism connects to the anchor point of the suction anchor model via rigging and the pulley guide frame, thereby achieving model loading. This experimental device has wide applicability, is not limited to any type of test foundation, and the height and position of various support components can be adjusted at any time according to the soil height of the model box and the required loading angle. The system is equipped with a T-bar or CPTu, a laser displacement sensor, a pore pressure gauge, and an accelerometer, enabling precise and diverse measurements of soil strength, soil settlement, pore pressure within the test foundation soil, and model movement. It can efficiently and conveniently observe the dynamic response of the suction anchor and the response of the test foundation soil.

This invention discloses a method and system for joint advanced prediction and detection of tunnel face and borehole ground-penetrating radar. It mainly includes: developing an integrated host for tunnel face and borehole ground-penetrating radar, achieving joint data acquisition from both; utilizing the tunnel face ground-penetrating radar to emit electromagnetic waves, with one antenna of the borehole radar emitting electromagnetic waves, and the other antenna of the borehole radar and the tunnel face ground-penetrating radar receiving the electromagnetic waves. This application designs a joint observation system for tunnel face ground-penetrating radar and borehole radar, achieving omnidirectional, multi-angle ray coverage and increasing the amount of observation data; deriving calculation formulas for tunnel ground-penetrating radar forward modeling, the adjoint state method, the objective function, and the inverse error function, achieving full waveform inversion of tunnel ground-penetrating radar; and enabling near-three-dimensional fine detection and imaging of adverse geological bodies such as karst caves and fractured bodies in front of the tunnel face.

This medical control device 9 comprises: a light source control unit 941 that controls the operation of a light source device 3 that emits first light, and first excitation light and second excitation light that respectively excite substances included in an observation target; an imaging control unit 942 that controls the operation of an imaging device 5 that images each of return light of the first light, return light of the first excitation light, and return light of the second excitation light from the observation target; and a mode switching unit 943 that switches to any one mode among a plurality of modes. The light source control unit 941 controls the operation of the light source device 3 such that the light emission patterns of the first light, the first excitation light, and the second excitation light differ among the plurality of modes.

This application provides a method, apparatus, device, and computer-readable storage medium for determining the extension length of an observation line in seismic exploration. The method includes: acquiring layer information of a target layer; the layer information including depth, velocity, maximum dip angle, and the dominant frequency of the target layer's location; determining the offset aperture for the target layer to meet the first Fresnel zone requirement based on the velocity and the dominant frequency; determining the offset aperture for the target layer to meet the 30-degree diffraction repositioning requirement based on the depth; determining the offset aperture for the target layer to meet the stratigraphic dip angle requirement based on the depth and the maximum dip angle; and determining the extension length of the observation line based on each offset aperture. The observation line extension length determined by this method can meet the offset repositioning imaging requirements of all reflection points, improving the acquisition accuracy of the observation system.

This application provides an intelligent noise removal method and apparatus based on multi-feature deep fusion, relating to the field of petroleum geophysical exploration data processing technology. The method includes: designing an observation system according to a pre-defined geological task; dividing seismic gather data into N regions and selecting low signal-to-noise ratio (SNR) shots; identifying data above the first arrival time window as the first type of noise data; selecting labeled shots and standardizing and quality-evaluating the labeled shot data; adding noise data from a noise database to the labeled shots according to a set weight ratio, forming noisy shot gather data through data fusion technology, adding gain, and standardizing; constructing a deep neural network model; generating training samples based on the labeled shot data through data augmentation and sample partitioning techniques; and removing noise through feature analysis and learning of the input data using the model to obtain high-quality data. The modular process and flexible parameter configuration of this application facilitate integration with existing processing systems, demonstrating strong engineering practicality and promotional value.

To provide an earthquake motion observation system which can be realized at a low cost and can accurately observe an earthquake motion within a wide range.SOLUTION: An earthquake motion estimation device 20 estimates a first principal motion waveform S1 being a waveform portion equivalent to a principal motion from a first earthquake waveform W1, adjusts a second earthquake waveform W2, estimates a second principal motion waveform S2 being a waveform portion equivalent to the principal motion from the adjusted second earthquake waveform, and when there is a time range where an amplitude becomes constant in the second principal motion waveform S2, sets a time range prior to the time range as a first range R1 and sets the time range as a second range R2, defines a function expressing a relevance of the waveform characteristics in the second range R2 to the waveform characteristics in the first range R1 of the first principal motion waveform S1, derives a correction waveform based on the waveform characteristics, and corrects the second earthquake waveform W2 by replacing the waveform of the second range R2 of the second principal motion waveform S2 with the correction waveform.SELECTED DRAWING: Figure 1