162 results about "Observational method" patented technology

The invention discloses a concrete test crack observation method based on a fluorescence tracing technology, and relates to the technical field of civil engineering research, and the concrete test crack observation method comprises the following specific steps: S100, building a concrete crack tracking detection device, S200, coating the surface of a concrete test piece with a fluorescence tracer agent, S300, collecting a fluorescence image, and S400, calculating a quantitative parameter. S500, establishing dynamic correlation between crack evolution and mechanical parameter variation, the crack development condition in the concrete uniaxial and splitting test process is directly observed by using a fluorescent agent and an ultraviolet lamp in the concrete uniaxial and splitting test process, a stress-strain curve in the concrete is recorded in real time through a computer in the mechanical loading test process, and the dynamic correlation between the crack evolution and the mechanical parameter variation is established. A high-speed camera is adopted to capture a high-definition fluorescence image of concrete surface crack propagation in real time, and the fluorescence image recorded in real time is quantified to obtain the development condition of concrete surface cracks, so that the relation between macroscopic strength such as uniaxial compression and microscopic cracks is established.

The invention relates to a rainfall observation method and device, a computer system and a medium, and solves the problem of high-reliability observation of regional rainfall. The method comprises the following steps: firstly, adopting reanalysis data and earth system mode output data to construct a first deep learning model of satellite inversion rainfall so as to reconstruct a lattice long-series rainfall data set; then, taking the rainfall attenuation information of the historical period as input, obtaining a rainfall simulation series of the corresponding historical period through different rainfall attenuation and rainfall intensity models, determining regional rainfall under the different rainfall attenuation and rainfall intensity models through a weighted link method, and preferably selecting an optimal rainfall attenuation and rainfall intensity model through long-series lattice rainfall data of the historical period; furthermore, a second deep learning model is constructed by adopting satellite inversion data and rainfall data inverted by a rainfall attenuation and rainfall intensity model, real-time correction of regional precipitation is realized, finally, real-time rainfall information of the region is deduced by adopting the optimal rainfall attenuation and rainfall intensity model and taking a real-time mobile signal as input, and the regional average precipitation corrected in real time is obtained.

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 discloses a forest land litter water-holding capacity automatic observation method, which comprises the following steps: identifying topographic factor distribution of different slope gradients and altitudes, calculating vegetation structure parameters by combining vegetation indexes, dividing forest land environment heterogeneity regions according to the topographic factor distribution and the vegetation structure parameters, and generating a spatial distribution map layer, generating an observation point position layout scheme with regional representativeness, deploying a sensing device according to the observation point position layout scheme, and obtaining the dynamic change moment and the change amplitude of the litter water-holding capacity; and decomposing the dynamic change moment and the change amplitude of the litter water-holding capacity, generating continuous spatial distribution data of the forest land litter water-holding capacity, constructing a water-holding capacity prediction model, and calculating litter water-holding capacity observation values of different areas of the forest land in real time according to parameter coefficients of the prediction model. According to the invention, accurate observation of the water holding characteristic of the litter in the forest land is realized.

The invention discloses a multi-path concentration difference-based carbon dioxide advection observation method. The method comprises the following steps of: arranging a foundation CO2 differential absorption laser radar and a three-dimensional wind measurement radar which can rotate at any angle in an observation area; rotating the laser radar, and sequentially enabling the observation angle position of the radar to correspond to the x axis, the middle of the x axis and the z axis, the z axis, the y axis, the middle of the z axis and the y axis in the three-dimensional wind speed coordinate system, so as to obtain a CO2 concentration profile average value and a wind speed profile average value at corresponding observation angles; based on the CO2 concentration profile average value and the wind speed profile average value, the total CO2 three-dimensional horizontal flux in the observation area is obtained through corresponding calculation. The method has the advantages that CO2 advection observation on a regional scale is realized for the first time, and the problems of poor spatial representativeness, difficulty in equipment synchronization, high cost and the like of a traditional method are solved.

The invention discloses a spatial distributed observation method based on irregular region geometric feature sampling, and belongs to the technical field of aerospace. The implementation method comprises the following steps: establishing a coordinate system for describing the motion of the spacecraft; establishing a spacecraft dynamic model under the coordinate system; six initial orbit elements of a satellite can be obtained based on existing low-orbit constellation orbit data, the spatial position is calculated through the orbit elements, and then position components are converted into latitude and longitude coordinates, namely sub-satellite point coordinates; defining vertex coordinates of the polygon, and constructing a planar polygon by connecting the vertex coordinates end to end; discretizing the internal region of the closed polygon; on the basis of the kinetic model, on the basis of the coordinates of the sub-satellite point and the center coordinates of the discrete sampling circle, calculating the characteristic distance from the sampling point in the observation area to the sub-satellite point, and on the basis of the size relationship between the characteristic distance and the radius of the observation view field, judging whether the irregular area can be successfully observed in a preset time constraint interval; therefore, spatial distributed observation is realized.

This invention discloses an in-situ observation method and device for tidal flat sedimentary bedding, belonging to the field of tidal flat geomorphological sedimentary observation technology. The observation method includes: laying settlement plates on the tidal flat surface at the in-situ observation location of tidal flat sedimentary bedding; and laying new settlement plates on the sediment of the previous settlement plate at intervals based on the ebb and flow of the tide. After reaching a preset number of settlement plates, collecting the sediment on each settlement plate during low tide and retrieving the settlement plates; and quantitatively analyzing the bedding data and bedding characteristic indicators of the sediment on each settlement plate. The observation device includes a support frame with a timing control unit. The timing control unit includes a holder and a controller. The holder holds multiple layers of settlement plates, and the holder releases the settlement plates one by one according to the interval and the number of releases. This method can obtain the morphological characteristics of tidal flat sedimentary bedding under tidal conditions, providing strong support for the study of the formation process and carbon sequestration mechanism of tidal flat sedimentary bedding.

The application relates to the technical field of marine hydrological monitoring, and discloses a seawater suspended sediment concentration low-altitude observation method, which uses a low-altitude observation platform to carry digital photography equipment, obtains seawater suspended sediment concentration images, collects water samples in the photographed sea area, positions the water samples through a global satellite positioning system, uses a filtering method to measure the suspended sediment content, pre-processes the obtained seawater suspended sediment concentration images, realizes automatic splicing of the images and automatic imaging of orthographic images, trains the processed image data and the measured suspended sediment concentration data based on an optimized artificial neural network algorithm, establishes a seawater suspended sediment concentration inversion model, and evaluates the model precision. The method uses the low-altitude observation platform to obtain high-resolution images, uses the optimized artificial neural network model to invert the suspended sediment concentration, has the advantages of high precision, low cost, flexibility, timeliness and the like, and can effectively make up for the deficiency of satellite remote sensing.

The invention provides a multi-fusion ocean salinity observation method, system, equipment and medium, and belongs to the technical field of ocean salinity observation.The method comprises the steps that an observation request instruction is received and responded, and an ocean observation area is determined; analyzing and processing the ocean observation data set by using an ocean salinity observation data analysis model; determining a target ocean observation area; according to the specific observation demand index, one or more target data acquisition terminals capable of meeting the demand index are matched and determined from a preset available data acquisition terminal resource library; creating a specified observation task for the target ocean observation area based on a scheduling instruction set; and sending the observation result information to a corresponding observation terminal. According to the method, the response speed of the marine environment change is improved, the observation cost is reduced through resource dynamic scheduling, and technical support is provided for scenes such as marine ecological monitoring and disaster early warning.

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

The embodiment of the invention provides a motor speed observation method and device, electronic equipment and a storage medium, and the method comprises the steps: firstly, obtaining an electrical angle of a motor; then, gain processing is carried out based on the electrical angle, the observer proportional gain parameter and the observer integral gain parameter, and a proportional integral output value is obtained; next, feed-forward processing is carried out based on the electrical angle and a feed-forward gain parameter, a feed-forward output value is obtained, and the feed-forward gain parameter, an observer proportional gain parameter and an observer integral gain parameter are all generated based on the speed ring bandwidth of the speed ring; and finally, performing superposition processing based on the proportional integral output value and the feedforward output value to obtain a speed observation result of the motor, thereby greatly improving the observation real-time performance and accuracy of motor speed observation.

The invention discloses an observation method and system for a navigation city greenhouse gas source and application, belongs to the field of environment monitoring, and is used for solving the technical problem that at present, effective and targeted monitoring on the city greenhouse gas source is lacked, and the method comprises the steps that an observation route for monitoring the greenhouse gas source in a navigation city is planned; constructing a navigation city greenhouse gas source distribution prediction model and training, carrying out current navigation monitoring to obtain current navigation monitoring data, and calculating by using the navigation city greenhouse gas source distribution prediction model to obtain next city greenhouse gas source prediction distribution; performing targeted underway monitoring planning and monitoring; according to the method, the observation route is planned, multiple times of underway monitoring are carried out according to the time sequence, accurate underway monitoring data are obtained, the data are fully mined, the prediction model is constructed and trained, the model is used for calculation, the next prediction distribution is obtained, the model is used for guiding subsequent targeted underway monitoring, and the monitoring efficiency and effect of the urban greenhouse gas source are improved.

The application discloses an improved flux linkage observer position sensor observation method and system, comprising the following steps: constructing a motor model, and estimating a flux linkage vector; performing amplitude normalization processing on the flux linkage vector, and constructing a quadrature error signal; inputting a phase-locked loop, and obtaining a motor angle and a motor estimated rotating speed. The application has high adaptability, is small in system dependence degree, and is convenient to transplant in different systems.

The invention discloses a full-irradiation aviation electromagnetic observation method. The method comprises the following steps: S1, scanning survey line topographic data of a target survey area; s2, dynamically controlling postures of a transmitting coil and a receiving coil based on the survey line topographic data in the S1, and collecting electromagnetic data of a target survey area; and S3, processing the electromagnetic data collected in the step S2, and carrying out random cross gradient constraint inversion to obtain geological structure information of the underground target in the target measurement area. The detection effect of an aviation electromagnetic method in a steep fluctuating environment is remarkably improved for mineral resources, engineering geophysical prospecting and hydrogeological prospecting in a complex terrain area through a full-irradiation aviation electromagnetic observation system in a complex fluctuating terrain and an isotropic resistivity cross constraint inversion method. According to the method, the interference of topographic factors on electromagnetic signals is effectively reduced, and the limitation of insufficient signal coverage in complex topographies in a traditional method is overcome, so that the data processing precision is improved, and richer underground information is obtained.

The present invention discloses a multi-satellite collaborative observation method and apparatus. The method includes obtaining a training data set, mission information, and time window information; fusing the training data set, mission information, and time window information to obtain collaborative observation information to be processed; and analyzing and calculating the mission information, time window information, and collaborative observation information to be processed to obtain target collaborative observation information. This application can accelerate the decision-making process for multi-satellite collaborative observation, thereby reducing the difficulty and time consumption of search optimization for satellite mission planning.

The invention discloses a sea-ground-air-space integrated marine intelligent collaborative three-dimensional networking observation method, which belongs to the technical field of marine environment observation, is used for intelligent collaborative three-dimensional networking observation, and comprises the following steps of: generating an optimal navigation track covering a target area of dynamic characteristics by using a multi-target optimization algorithm; each observation platform executes a measurement task according to the received collaborative observation instruction, and each observation platform carries an embedded processor to analyze the collected temperature, salinity and flow field data characteristics in real time; and the data processing center completes data assimilation and ocean mode simulation by using supercomputing parallel calculation, and generates and outputs high-resolution three-dimensional temperature, salinity and flow field analysis results of dynamic characteristics. The coverage rate and the quality of observation information are obviously improved; the observation precision and efficiency are obviously improved, and optimal configuration and high-precision observation of resources are realized; a finer three-dimensional structure is captured with less navigation mileage, data redundancy and energy consumption are reduced, and observation efficiency is improved.

The embodiment of the invention discloses a rock sample pore dynamic observation method and system based on image difference analysis and electronic equipment, and relates to the technical field of geotechnical engineering and geomechanics testing. The rock sample pore dynamic observation method comprises the following steps: acquiring a first grayscale image of a rock sample in an initial displacement state and a second grayscale image of the rock sample in a target displacement state; pixel-level gray value comparison is carried out on at least one frame of the first gray image and the second gray image according to a corresponding time sequence, a difference matrix of the first gray image and the second gray image is obtained through calculation, and each element in the difference matrix is a gray difference value of a corresponding pixel; based on a preset brightness threshold value, mapping the difference matrix into a visual difference color image; and based on the visual difference color image, quantitatively analyzing the regional change characteristics of the rock sample pores in the displacement process. The precision of rock sample pore discrimination in the displacement process can be improved. The device and the method are suitable for pore dynamic observation scenes of nuclear magnetic displacement experiments of rock samples.

The present application provides an earth observation system based on a single measuring station, and the working modes of its earth observation payload include: record first and then replay mode, in which the imaging window is earlier than the data transmission window, and the imaging window and the data transmission window do not overlap; replay first and then record mode, in which the data transmission window is earlier than the imaging window, and the data transmission window and the imaging window do not overlap, and the record file and the replay file are not the same file; replay first and then record and play mode, in which the imaging window is located in the data transmission window, and the record file and the replay file are not the same file; replay first and then quasi-real transmission mode: the data transmission window includes two data transmission segments, the first data transmission segment is used to replay historical files, and the second data transmission segment is used for quasi-real transmission, the imaging window does not overlap with the first data transmission segment, and partially overlaps with the second data transmission segment. The present application ensures the flexibility of the user's observation area, the timeliness of data, and the observation efficiency by designing a new payload mode, and effectively improves the earth observation efficiency of a single measuring station.

The application is a low carrier ratio based on variable boundary layer adaptive sliding mode observation method. The application relates to the technical field of motor control. The parameter value of the application can change in real time with the rotating speed and the switching frequency, thereby guaranteeing the system stability, dynamic performance and small steady-state error under different working conditions. In addition, since the high-frequency chattering is well inhibited, the use of filters such as LPF is cancelled, thereby reducing the system complexity. Moreover, after the estimated back electromotive force is filtered by avoiding the use of the low-pass filter, the amplitude attenuation and phase delay problems of the motor back electromotive force estimation value are improved, and the accuracy of the rotor position estimation is improved.

The present application aims to provide a wave spectrum observation buoy for marine engineering with reduced entanglement wear and a reduced observation method. The present application comprises a marker buoy, a connecting piece pivotally connected to the lower end of the marker buoy, a wave buoy snap-connected to the end of the connecting piece, and an anchor cable piece hingedly connected to the lower end of the marker buoy and used for anchoring the seabed; the wave buoy is provided with an observation device for observing meteorological hydrology, and the wave buoy rotates around the marker buoy through the connecting piece. The detection buoy observes the sea waves of the surrounding area by rotating around the marker buoy through the connecting piece, and the connection between the connecting piece and the marker buoy is connected through a limiting ring to isolate the torsion force and avoid the entanglement of the connecting piece when the observation buoy rotates around the circumference, thereby improving the wave-following performance of the observation buoy, increasing the accuracy of wave spectrum detection, and effectively avoiding the influence of the connecting piece on the sensitivity of wave regulation. The present application is applied to the technical field of wave spectrum buoys.

The invention discloses a geological event classification-driven observation method and a geological event classification-driven observation system, which solve the technical problem of lack of dynamic regulation and control based on event classification in the prior art. The method comprises the following steps: collecting continuous seismic waveform data, and detecting and identifying a potential event segment by combining a multi-stage STA / LTA method with CUSUM accumulation and change point analysis; inputting the potential event segment into a pre-trained one-dimensional convolutional neural network model, performing signal identification and classification, and outputting an event category and confidence; fusing temperature and pressure time sequence data, and comprehensively judging an event type by utilizing a rule engine; according to the geological event type driving observation strategy, the sensor sampling frequency, the data transmission mode and the energy consumption configuration are dynamically adjusted. Through an innovative mechanism of geological event classification-driven observation, the limitation of a traditional observation mode on real-time performance and resource efficiency is broken through, differentiated observation response can be realized according to geological event types, the real-time performance, the accuracy and the energy efficiency of an observation system are remarkably improved, and the method is suitable for popularization and application. The method is especially suitable for long-term observation of complex seabed hydrothermal zones such as southwest Indian Ocean ridges.

The application relates to the field of vehicle dynamics and control technology, in particular to a data intelligent driving adaptive joint observation method and device, a vehicle and a medium, wherein the method comprises the following steps: compensating wheel speed according to yaw rate and rotation angle; calculating a longitudinal reference vehicle speed measurement value according to the compensated wheel speed and longitudinal acceleration; respectively estimating noise covariance of a lateral reference vehicle speed measurement value and a lateral-longitudinal reference vehicle speed measurement value according to a first input feature, a second input feature and a third input feature; determining a joint observation weight of the lateral-longitudinal reference vehicle speed measurement value based on the noise covariance, and performing joint observation on a lateral-longitudinal reference vehicle speed estimation value based on the joint observation weight, so as to obtain a vehicle body side slip angle estimation value. Therefore, the problems that the MBD method and the DDD method in the related art have limitations, the applicability and robustness are poor, the measurement value is inaccurate, the accuracy of the observation result is low, a large amount of data is required, and the application is limited due to the black box feature are solved.

The invention provides a discrete observation method and system based on time-point sequence data, and belongs to the technical field of data processing, and the method specifically comprises the steps: when a discrete analysis demand type does not belong to a target demand type, obtaining a discrete analysis result based on the time-point sequence data in a stable period and the observation analysis processing result of the time-point sequence data of other monitoring equipment; determining a discrete coefficient in each stable time period, determining a related data type of time point sequence data in other monitoring equipment based on the stability degree of the discrete coefficient, and determining a deviation condition of the discrete coefficient of the monitoring time point of the related data type in different stable time periods; and carrying out observation analysis processing on time point sequence data of related data types on the basis of deviation conditions, and determining a discrete observation analysis method of time point sequence data of the target data type on the basis of observation analysis processing results of the time point sequence data of the related data types and in combination with discrete analysis demand types. And the reliability of the monitoring data is improved.

This invention relates to a radio telescope scanning observation method and system. The method includes: determining the scanning center point of the radio telescope; determining the optimal value of scanning parameters for the radio telescope to perform two-dimensional periodic motion around the scanning center point and achieve a preset scanning trajectory; sending the optimal value of the scanning parameters to a telescope pointing and control system, so that the telescope pointing and control system controls the radio telescope to perform two-dimensional periodic motion around the scanning center point according to the optimal value of the scanning parameters; controlling the data acquisition system of the radio telescope to start synchronously with the two-dimensional periodic motion, and synchronously acquiring the observation data collected in real time by the data acquisition system and the real-time pointing data of the telescope pointing and control system.

The invention belongs to the technical field of unmanned aerial vehicle power systems, and discloses an unmanned aerial vehicle power system and an observation method based on a set membership filtering algorithm, and the method comprises the steps: firstly carrying out the modeling of an electric power part of the unmanned aerial vehicle power system, building a motor model under a static coordinate, and then building a motor state space model and an observer model; modeling errors in the observer model, limiting the errors in an ellipsoid set, establishing an error system comprising noise variables, obtaining a recursive relation of errors at adjacent moments, solving and obtaining gains of a filter in the observer model, and realizing dynamic updating of the gains of the observer, thereby realizing high-precision observation of the unmanned aerial vehicle power system. According to the method, the observer of the unmanned aerial vehicle power system is constructed based on the set membership theory, so that better observation performance is realized under the condition of time-varying model parameters, meanwhile, modeling is performed on noise inside a motor, unknown but bounded noise characteristics are described by using an ellipsoid set, and the observation precision in a noise environment is improved.

The invention discloses a sliding mode observation method and a sliding mode observation system for permanent magnet synchronous motor non-inductive control, which are used for improving numerical stability and observation precision of a discrete system and realizing permanent magnet synchronous motor non-inductive closed-loop control with good robustness and stability. The method comprises the following steps: discretizing a current state equation according to a sampling period to obtain an initial discrete sliding mode observation equation; determining a proportional adjustment coefficient k based on an inductance parameter and a sampling period of the motor, performing weighted adjustment on a voltage related item and a sliding-mode control quantity item in the initial discrete sliding-mode observation equation by using the proportional adjustment coefficient k, and constructing an improved sliding-mode observation equation; extended counter electromotive force is extracted based on the output of the sliding mode control law, wherein the contribution proportion of the high-frequency buffeting component output by the sliding mode control law in the extended counter electromotive force is weakened through a proportion adjustment coefficient; and inputting the extended back electromotive force into a phase-locked loop module to calculate the rotor position and the rotating speed of the motor so as to realize closed-loop control of the motor.

The invention discloses a Beidou GNSS-based dam slope monitoring comprehensive observation method, system and device and a medium, and belongs to the technical field of dam slope monitoring, and the method comprises the steps: deploying a plurality of Beidou GNSS reference stations at a stable bedrock at the periphery of a hydropower station dam area, and receiving satellite signals; collecting displacement data in real time, and synchronously collecting environmental factor data; performing time synchronization on the acquired displacement data and environmental factor data, performing hard synchronization through a PPS pulse signal, and uniformly converting the data after hard synchronization to a dam local coordinate system; de-noising the synchronized displacement data and environmental factor data by using a Kalman filtering technology, and carrying out data fusion; historical displacement data and real-time data are combined, and a machine learning algorithm is used for predicting the future displacement change trend of the dam slope. According to the invention, through combination of multi-base-station networking and Beidou / GNSS positioning technology, the three-dimensional monitoring precision of the dam slope is improved.

This invention discloses a wide-azimuth artificial source electromagnetic observation method, device, and medium. The method includes: selecting the construction area of ​​the detection task as the measurement area according to the preset detection task requirements; determining the minimum distance between the field source and the measurement area according to the induction number requirement, and determining the maximum distance between the field source and the measurement area according to the signal-to-noise ratio requirement, and then defining the annular area formed between the minimum and maximum distances between the field source and the measurement area as the field source area; arranging measurement points in the measurement area, and arranging field sources in the field source area; collecting data of any electromagnetic field component at the measurement points and recording the corresponding device acquisition parameters; and using the electromagnetic field component data and the device acquisition parameters, solving for the apparent resistivity using an iterative method. This invention can deploy field sources in all azimuth angles of the measurement area and observe all electromagnetic field components, providing great flexibility in the selection of field source locations and data acquisition.

A multi-target trajectory decomposition observation method, which includes: acquiring a sensing signal at a current moment, and sensing location information and signal energy values of respective targets of a plurality of targets based on the sensing signal at the current moment; displaying a plurality of sensing points of the respective targets on a map according to the location information and signal energy values of the respective targets; determining one or more motion trajectories based on the plurality of sensing points displayed on the map at the current moment and a plurality of historical sensing points displayed within a time period before the current moment, where each motion trajectory of the one or more motion trajectories is used to characterize a moving target of the plurality of targets; and decomposing sensed information of one or more moving targets of the plurality of targets that is sensed on one or more channels for outputting.