88 results about "Observational method" patented technology

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.

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 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 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 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 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.

The application provides a GNSS-based water vapor networking observation method and system, and relates to the technical field of meteorological observation, comprising obtaining first information and second information; obtaining a first feature vector corresponding to each GNSS receiver; obtaining a second feature vector; determining the correlation degree value of the first feature vector of each GNSS receiver and the second feature vector of the atmospheric water vapor information of a target region; and obtaining atmospheric water vapor information in a future preset time period. Through effective feature extraction and fusion of satellite data and atmospheric water vapor information collected by GNSS receivers in the water vapor networking, the observation of atmospheric water vapor is more accurate and real-time. Through principal component analysis to extract atmospheric influencing factors and combining a feature fusion model, the observation ability of water vapor information under complex atmospheric conditions is enhanced, and the regional atmospheric water vapor change can be observed in real time. Compared with the traditional meteorological observation station, the observation method has significant advantages in spatial distribution and time accuracy.

A weather fusion observation method, platform, medium and equipment based on radar technology, relate to the field of weather information digital intelligent technology. The method comprises: receiving a plurality of types of weather data sent by each local radar device; converting each weather data into standard weather data according to a preset standard format block; filtering impurity data in each standard weather data to obtain target weather data; in response to a fusion instruction, fusing at least two target weather data according to the fusion instruction to obtain fusion weather data for weather analysis through the fusion weather data. Through the data fusion of multiple weather equipment, the accuracy of analyzing weather data can be improved by implementing the technical solution provided in the application.

The invention relates to the technical field of remote sensing, and particularly provides an unmanned aerial vehicle-mounted P-band microwave and multispectral combined observation method and device for complex topographic conditions, and the method comprises the steps: selecting a region with a high priority level as a basic navigation route of an unmanned aerial vehicle, separating a sub-route from the basic navigation route, and surveying a region with a low priority level; the area with the high priority level is a basic line, and the area with the low priority level is a sub-line; the multispectral camera collects reflection characteristics of multiple spectral bands of the vegetation, and the P-band microwave sensor penetrates through the vegetation to obtain topographic information below the vegetation; and constructing a digital terrain model of the surveyed area based on the fused data, analyzing the relationship between vegetation distribution and terrain conditions, performing model simulation to obtain terrain conditions, obtaining an evaluation report model according to the terrain conditions to obtain the terrain conditions, and obtaining an evaluation report according to the terrain conditions. The device comprises a priority setting module, a decision fusion module and a report output module. According to the invention, the topographic survey efficiency under the complex topographic condition is improved.

The invention discloses an LMI-based intelligent suspension robust control and state observation method, and relates to the technical field of suspension control, and the method comprises the following steps: S1, splitting a control system into a non-matching disturbance subsystem and a matching disturbance subsystem; s2, determining state feedback control of an LMID algorithm according to the weight matrix of state control; determining disturbance compensation of a disturbance observer part in an LMID algorithm based on a weight matrix of a matching disturbance subsystem and disturbance estimation, and realizing the LMID algorithm by using an LMIob observer; and S3, taking the sprung acceleration based on the IMU in the suspension system as the input quantity of the LMIob observer, and obtaining state estimation of the control system. The method is designed based on an LMID algorithm of LMI, the algorithm has disturbance observation properties, the robustness of the algorithm can be improved, a weight matrix is introduced, and flexible adjustment of state control and disturbance estimation is achieved.

Continuously monitor the detection performance of the observation device. [Solution] The observation device includes an observation unit, a storage unit, and a control unit. The observation unit observes a predetermined area. The storage unit stores the viewing distance, which indicates the maximum distance at which an observation target within the predetermined area can be identified, and a threshold value. Based on the results of the first observation by the observation unit, the control unit obtains the maximum observation distance, which indicates the distance to the location of the furthest identified first observation target, and sets the viewing distance and threshold value based on the comparison result between the maximum observation distance and the threshold value. When predetermined conditions are met, the control unit decreases the threshold value.

This application discloses a method and system for observing trace gas fluxes, relating to the field of environmental remote sensing technology. The method includes simultaneously acquiring three-dimensional wind speed spatial distribution data and trace gas concentration spatial distribution data within the observation area, determining spatiotemporally matched wind speed-concentration data, extracting vertical wind speed fluctuation data and gas concentration fluctuation data from these data, determining the turbulent vertical transport rate jointly determined by the vertical wind speed fluctuations and gas concentration fluctuations, and using this as the target trace gas vertical turbulent flux at each spatial location; based on the target trace gas vertical turbulent flux at each spatial location, generating a two-dimensional distribution map of the target trace gas vertical turbulent flux within the observation area. This application can solve the problem of missing spatial information in the single-point method of related technologies, enabling direct area-scale imaging of trace gas turbulent fluxes and intuitively displaying the spatial characteristics of the flux.

The application discloses a kind of carbon dioxide advection observation methods based on multi-path concentration difference, including in the observation region within the layout arbitrary angle rotation ground CO2 differential absorption lidar and three-dimensional wind radar;Rotary laser radar, in turn, the observation angle position of radar corresponds the x-axis in three-dimensional wind speed coordinate system, the middle of x-axis and z-axis, the middle of y-axis and z-axis, y-axis, to obtain the CO2 concentration profile average value and wind speed profile average value on corresponding observation angle;Based on CO2 concentration profile average value and wind speed profile average value, through corresponding calculation, the total amount of CO2 three-dimensional advection flux in observation region is obtained.The advantage is: first realize the CO2 advection observation on regional scale, solve the problems such as poor space representation, equipment synchronization difficulty, high cost and the like of traditional method.

The invention discloses a method for observing the thickness of a plunger-bushing lubricating oil film of a hydraulic rock drill. The observation method comprises the following steps: preparing equipment for observing the thickness of the plunger-bushing lubricating oil film; field-of-view calibration: placing a graduated scale on the focal plane to calibrate the size of the field-of-view of the camera; searching a movable contact area to ensure that the microscope can capture clear interference fringes; parameters of a high-speed camera and a laser source are set, and it is ensured that the contact area can be shot within the set exposure time; and starting a motor, continuously collecting photos under a set working condition, and screening out the photos of the contact area. According to the observation method, non-contact, dynamic and high-precision observation and prediction of the oil film thickness can be realized.

The invention discloses a satellite positioning-based shipborne temperature and salinity dragging observation method and system, and the method comprises the steps: obtaining a real-time position signal and the temperature and salinity data of observation equipment, and carrying out the fusion and initial time sequence alignment processing, and obtaining an initial position estimation sequence; comparing the initial position estimation sequence with a preset ship trajectory, and if a comparison result shows that the deviation exceeds a first preset threshold value, performing recursive updating on the real-time position signal to obtain a filtered position trajectory; based on the filtered position track, acquiring environment interference characteristics at the current moment, and compensating the real-time position signal to obtain a compensated accurate position coordinate; if the matching degree of the accurate position coordinate and the position record of the historical observation data is lower than a second preset threshold value, performing iterative correction on the accurate position coordinate to obtain final position mapping; and carrying out correlation matching on the temperature and salinity data and the corresponding geographic grids based on the final position mapping, and generating an observation data set with a position label.

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

The invention discloses a sub-satellite on-orbit release and imaging observation method and related equipment, and relates to the technical field of satellite overall task planning and satellite attitude control, and the method comprises the steps: planning a release moment of releasing a sub-satellite when a main satellite is in a transit period; determining an orbit forecast result of the child satellite, and adjusting the attitude of the primary satellite to enable a visual axis of a release monitoring camera arranged on the primary satellite to be aligned with the child satellite; target identification is carried out based on image data collected by the release monitoring camera, whether a child satellite is captured is judged, and a first judgment result is obtained; and when the first judgment result is yes, controlling to release the monitoring camera to carry out imaging observation on the child satellite, and downloading image data through the ground data transmission station. According to the invention, the primary satellite can continuously carry out high-quality imaging observation on the secondary satellite, and meanwhile, the data transmission antenna is kept pointing to the ground, so that the real-time or quasi-real-time downloading of the image data through the ground data transmission station is ensured.

The application discloses a laser vision-based lock chamber deformation observation device and an observation method, and proposes a new method for monitoring the wall top displacement of a ship lock chamber based on joint deformation accumulation. The method utilizes the joint treatment of the ship lock chamber section, accumulates the horizontal displacement of the overall wall top of the lock chamber through the relative displacement meter between adjacent lock sections, adopts laser vision technology, and calculates the transverse horizontal dislocation, radial opening and vertical uneven settlement of the joint between the lock sections through high-precision shooting and computer vision extraction. Meanwhile, an assembly method of the device is given, so that the installation process is simple and easy to implement, the installation method is scientific and reasonable, and the measurement accuracy is ensured.

An observation apparatus comprises an irradiation optical system 22, a scanning unit 3, an image-forming optical system 4, and an imaging device 5. The irradiation optical system 22 irradiates an observation object B with planar light L1. The scanning unit 3 moves the observation object B at a constant speed in a direction crossing the planar light L1, and allows the observation object B to pass through the irradiation surface La of the planar light L1. The image-forming optical system 4 has an observation axis P1 crossing the irradiation surface La, and forms an image from observation light L2 generated at the observation object B by irradiation with the planar light L1. Every time the observation object B moves by a prescribed distance, the imaging device 5 acquires image data D1 including an optical image of the observation light L2. The scanning unit 3 outputs, on the basis of the moving distance of a moving stage 33, position information S for determining the exposure start timing when the imaging device 5 acquires the image data D1.

The invention relates to the technical field of motor fault detection, discloses a motor turn-to-turn fault feature observation method based on an improved sliding-mode observer, and aims to solve the technical problem that the fault feature estimation precision is reduced due to the buffeting problem of a traditional sliding-mode observer (SMO). An improved fault characteristic observer is designed by taking a back electromotive force residual error under a two-phase static coordinate system as a fault characteristic quantity, the observer is optimized by adopting a linear superhelix algorithm (STA) and a hyperbolic tangent function (tanh), high-frequency buffeting is effectively inhibited, and the convergence of the observer is proved through a Lyapunov stability theory. According to the method, the counter electromotive force estimation precision can be remarkably improved, reliable input is provided for motor fault detection, and the method is suitable for online monitoring and diagnosis of PMSM stator turn-to-turn short circuit faults.

The application provides a rock sample water content observation method and device. The rock sample water content observation method comprises the following steps: contacting a rock sample with a water sensitive test paper; collecting an image of a contact area of the rock sample and the water sensitive test paper, and calculating a total area S of the contact area; collecting an image of a color developing area of the water sensitive test paper, and calculating an area S1 of the color developing area; calculating a percentage of the area S1 of the color developing area to the total area S of the contact area, and analyzing water content of the rock sample according to the percentage. Compared with the prior art, the application utilizes sensitivity of the water sensitive test paper and convenience of image collection and processing, establishes a rock sample water content observation method suitable for a field, and has the advantages of simple operation, short observation period and intuitive observation result display, thereby providing a new means and method for reservoir fluid identification and evaluation. The method obtains a relative water content, and can be used for fluid saturation sample screening, comparison and analysis of water content of different rock samples and different layers, and provides a basis for formation fluid property evaluation.

To provide an observation device that can correct the orbital information of a desired object with greater accuracy. [Solution] The orbital information is corrected based on the correlation between the state of a space object actually detected at a given time, based on known orbital information, and the state of the observed object at a given time, as indicated by the orbital information.