89 results about "Observation parameter" patented technology

Method for the monitoring of an environment, by procuring, adjourning and storing in a memory, files representing the background space. Programs for processing data obtained from the observation of objects are defined and stored in a memory, for identifying the objects and for determining whether they are dangerous. Parameters, according to which the observation of the controlled space is effected, are determined and stored. Photographic observation of the controlled space or sections thereof, is performed according to the aforesaid observation parameters. The digital data representing these photographs are processed to determine whether possible dangerous objects have been detected, and if so, these objects are classified according to the stored danger parameters.

A method for predicting the state of a software system based on a hidden Markov model comprises the following steps: building a training sample set, and gathering samples in the training sample set into k clusters by a K mean clustering algorithm; building the hidden Markov model: lambda = [pi, A, B], using the k clusters in the training sample set as the observation states of the model, and using the system state as a hidden state; training the hidden Markov model so as to obtain a new hidden Markov model (as shown in the Specification); utilizing collected system observation values and the new hidden Markov model (as shown in the Specification) to predict the actual state of the system. Modeling is carried out on the relationship between system actual states and system observation parameters based on the hidden Markov model, the system actual state is predicted according to the system observation values, and the system software state can be accurately predicted according to the system observation values. Possible problems can be found and handled by operation and maintenance staff as soon as possible, function degrading or system breakdown is avoided, and the predicting accuracy is high.

The invention provides an SOC (state of charge) estimation method for controlling equivalent charging and discharging of a lithium battery. The SOC estimation method includes: establishing a first-order RC (resistor and capacitor) equivalent circuit model of a single lithium battery, and determining a state equation and an observation equation of a lithium battery system; determining a Kalman filtering discrete state space model, a state parameter variable and an observation parameter variable; updating an predicted value of the state parameter variable and a covariance matrix of measuring errors, and acquiring an innovation sequence according to an observed voltage value at the end of the lithium battery; introducing a self-adaptive fading factor to track and correct a predicted covariance matrix of the lithium battery system; calculating a Kalman filtering gain matrix of the discrete state space model, and updating the optimal estimated value and an error covariance matrix value at the present moment; acquiring a statistical property of process noise; acquiring an SOC estimation value at the present moment, and putting the parameters of the present moment in recursive iteration calculation of strong-tracking self-adaptive Kalman filtering for the next moment. By the aid of the SOC estimation method, real-time and precise estimation of SOC of the lithium battery is realized.

An aperture stop device is provided for use in a microscope with at least one adjustable observation parameter. The aperture stop device includes at least one aperture stop (50a, 50b) with an adjustable aperture, that is to say with an adjustable stop opening. The aperture stop (50a, 50b) is adapted to receive an aperture signal representative of an aperture to be adjusted. In addition the aperture stop device includes a control unit (52) for output of the aperture signal to the aperture stop (50a, 50b) in dependence at least on the respectively set value of the observation parameter of the microscope.

The invention discloses a method for observing the longitudinal motion state of an aircraft by using for a time varying measurement delay output signal aircraft. The longitudinal motion state observation method comprises four steps, i.e. firstly, acquiring a kinetic model of the aircraft in a pitching plane; secondly, designing an observer; thirdly, adjusting an observation parameter and checkingthe observation effect; and fourthly, finishing the design. According to the longitudinal motion state observation method, the current time state of the system is reconfigured according to a model ofcontaining certain time varying delayed output and system, and thus the observation of the system state is realized. The observation of a longitudinal motion kinetic model of the aircraft can be realized and the observation of other control objects can also be realized. Therefore, the longitudinal motion state observation method has better practical value and favorable application prospect in thetechnical field of flying control.

Method for the monitoring of an environment, by procuring, adjourning and storing in a memory, files representing the background space. Programs for processing data obtained from the observation of objects are defined and stored in a memory, for identifying the objects and for determining whether they are dangerous. Parameters, according to which the observation of the controlled space is effected, are determined and stored. Photographic observation of the controlled space or sections thereof, is performed according to the aforesaid observation parameters. The digital data representing these photographs are processed to determine whether possible dangerous objects have been detected, and if so, these objects are classified according to the stored danger parameters.

The invention relates to a method (100) of controlling a viewing parameter for viewing an image on a display for displaying the image, the method comprising a determining step (110) for determining a view of interest within the image, an identifying step (120) for identifying a field of view within the display, a controlling step (130) for controlling the viewing parameter based on the field of view, and a computing step (140) for computing the image based on the controlled viewing parameter and on the field of view, which field of view comprises the view of interest, wherein the field of view is identified using an eye-tracking system for tracking an eye of a user. The method (100) provides a way of controlling the viewing parameter which reduces interruptions in viewing the view of interest. This is particularly useful for a surgeon performing a procedure on a patient using a surgical tool navigation system, when the surgeon needs to adjust a viewing parameter while watching the surgical tool and a surrounding anatomic structure displayed by the navigation system.

The invention discloses a small unmanned-rotorcraft gyroscope structure test system based on a six-dimensional force sensor. The small unmanned-rotorcraft gyroscope structure test system comprises: athree-degree-of-freedom motion test platform based on a triaxial gyroscope structure, which is used for testing three-degree-of-freedom arbitrary motions of pitching, rolling and yawing of a small unmanned craft; an unmanned craft state measurement module based on a multi-source sensor combination, which comprises a six-dimensional force sensor, an inertial attitude sensor and an unmanned craft external sensor; a test platform ground station control module, which comprises a flight controller and a test platform controller and is used for operating a plurality of motion modes of the unmanned craft and an observation parameter model of a measurement platform to realize motion measurement, state perception, data transmission and PC-side visualization for the unmanned craft; and a multi-source data fusion and analysis principle model. The small unmanned-rotorcraft gyroscope structure test system provided by the invention can meet the demand for the functions of three-degree-of-freedom motion state estimation and indoor training of a tiny unmanned rotorcraft, and realizes flight attitude estimation, vibration analysis, actual motion display and indoor flight training of the unmanned craft.

The invention discloses a sea-gas coupled real-time observation buoy system based on Beidou satellite and Iridium satellite double-satellite communication. The sea-gas coupled real-time observation buoy system comprises a sea-gas coupled observation sensor unit, a data collecting communication control unit, an anchoring unit, a buoy body platform, a power supplying unit and a data processing center. The buoy data collecting communication control unit adopts a Beidou satellite system to transmit conventional block method sea-gas flux, upper-layer sea current profile and buoy operation state parameters which have high requirements on data safety and low requirements on the communication quantity, and adopts an Iridium satellite system to transmit high frequency eddy related and high-resolution seawater skin surface temperature profile data which have high requirements on the communication quantity. A buoy can synchronously observe turbulence flux parameters of an eddy-related method of amovable platform, flux parameter of a block method, the seawater 0-1.0 m high-resolution skin surface temperature profile and the 0-70 m upper-layer sea current profile in real time in real time. Thesea-gas coupled real-time observation buoy system is suitable for being released in deep and open sea, and has the characteristics of diverse sea-gas interface observation parameter, safe data transmission and the like.

The invention relates to a free telescopic ocean profile observation device and a method based on large buoys. The free telescopic ocean profile observation device comprises a free telescopic device,an underwater observation module, a data acquisition control module, a power supply module, a communication module and a data receiving and processing module, wherein the free telescopic device is used for providing power for underwater profile observation and accurate positioning of each depth layer; the underwater observation module is used for realizing integration and carrying of various observation sensors to acquire water body profile data; the data acquisition control module is use for intelligently controlling the action of the free telescopic device and the data acquisition of the underwater observation module according to sea conditions and forwarding the data to the communication module; and the communication module communicates with the data receiving and processing module of aland base station. By freely and accurately controlling the layer depth position of the underwater observation module, the free telescopic ocean profile observation device provided by the invention realizes long-term, continuous, fixed-point and real-time observation of the marine water body profile environmental parameters in a certain range under the condition of unattended operation, and breaks the current situation that the existing real-time observation parameters are limited to the surface layer of the sea.

The invention discloses a fault early warning method for a wind power generator. The method comprises the steps that observation parameters are extracted; clustering analysis is carried out on the observation parameters, and the observation parameters are classified by adopting a Ward system clustering analysis method; centroids are extracted to construct a state matrix, each classified centroid is calculated according to the shortest distance principle, and the state matrix representing the normal operation situation of the wind power generator is formed through a centroid set; and an estimated value of the generating state of the state matrix is calculated in a similarity modeling mode, and whether the early warning is triggered or not is judged in a residual analysis mode. The fault early warning method for the wind power generator has the advantages that the fault of the wind power generator can be quickly and effectively predicted.

The invention discloses an observation method of a millimeter wave weather radar. The observation method of the millimeter wave weather radar comprises the specific steps that (1) a millimeter wave weather radar observation platform is set up, wherein the millimeter wave weather radar observation platform comprises an industrial control computer (1), an observation strategy setting module (2), an observation strategy scheduling module (3), an information acquisition module (4), an antenna controller (5) and a signal processor (6); (2) observation strategy parameters are set by the observation strategy setting module (2); (3) the observation strategy scheduling module (3) has control over the execution sequence of observation strategies, and carries out scheduling on the execution sequence of the observation strategies; (4) the information acquisition module (4) acquires antenna position information and echo processing signals of the millimeter wave weather radar. Therefore, observation of the millimeter wave weather radar is achieved. According to the observation method of the millimeter wave weather radar, setting of observation parameters is comprehensive and flexible, the control function is good, information of a weather object of an omnibearing three-dimensional space can be automatically obtained, weather data are complete, observation efficiency is high, and it is ensured that the requirement for research and application of the weather objects such as cloud is met.

The invention relates to the technical field of marine engineering geology and seafloor in-situ long-term observation, and particularly discloses a seafloor static penetration device based on an oceanobservation probe rod and a penetration method of the seafloor static penetration device. The seafloor static penetration device based on the ocean observation probe rod comprises a probe rod vertical frame, an outer clamping ring and a base, and is characterized in that a probe rod positioning device and a pressing cap type structure are installed on the outer clamping ring, the base comprises an upper bottom plate, a lower bottom plate and a separation plate located between the upper bottom plate and the lower bottom plate, a battery bin, a driver bin and a motor which are connected with one another are installed on the upper bottom plate, the motor is connected with the pressing cap type structure through a driving rope, and the probe rod is correspondingly clamped and fixed between the outer clamping ring and the base. According to the seafloor static penetration device based on the ocean observation probe rod and the penetration method of the seafloor static penetration device, structure design is reasonable, the performance is stable, the working efficiency is high, the size of the seafloor static penetration device is small, stable and vertical penetration with the constantspeed of the seafloor observation probe rod is realized, the penetration efficiency is high, the penetration depth is large, and the quality of seafloor observation parameters is guaranteed.

The invention discloses a microwave correlated imaging simulation method based on an analysis surface element. The method comprises the steps: firstly constructing a target 3D model scene, obtaining the space information of a corresponding target scene according to observation parameters, calculating a single-scattering coefficient and a multi-scattering coefficient of the target scene, and obtaining the scattering coefficient distribution of the observation scene; secondly calculating an echo signal of the target scene according to a radiation field of a random antenna wave beam in an imaging plane; finally carrying out the correlating of the radiation field and the echo signal, and obtaining a simulation image result. The method achieves a quick simulation process in correlation imaging under the condition of the random radiation field, gives a solution for distributed scene correlation imaging high-efficiency simulation, can deepen the understanding of the imaging mechanism and scattering mechanism in a whole correlated imaging link, provides support for the design and index argument of the design of a correlated imaging radar system, also can be used for subsequent correlated imaging evaluation and image interpretation, and is high in practical value.

The invention provides an intelligent satellite earth observation pattern base acquiring method and system. The intelligent satellite earth observation pattern base acquiring method includes the steps that each kind of single ground feature scene is subject to satellite imaging analog simulation experiments, ground feature characteristics are analyzed, and observation pattern parameters of each kind of single ground feature scene are selected; satellite imaging analog simulation experiments of multiple ground feature scenes are carried out, coupling relations of observation pattern parameters of the multiple ground feature scenes are analyzed, and the observation pattern parameters of the multiple ground earth scenes are selected; an intelligent satellite earth observation pattern base is built according to the selected observation pattern parameters of each kind of single ground feature scene and the selected observation parameters of the multiple ground earth scenes. Due to the adoption of the intelligent satellite earth observation pattern base acquiring method and system, observation pattern parameters of all kinds of scenes can be selected through imaging analog simulation experiments of single ground feature scenes and imaging analog simulation experiments of multiple scenes to build the complete intelligent satellite earth observation pattern base for targeted actual intelligent satellite earth observation selection. The intelligent satellite earth observation pattern base acquiring method and system have wide application value.

The invention discloses a penetrated crack rock mass grouting slurry diffusion test method. According to the method, based on site observation parameters, by means of the 3D printing technology, a hollow rock mass crack skeleton is constructed, monitoring elements are laid on the surface layer, the end portions and the joints of each crack, and the outer surface layer thickness of the skeleton meets similar rock mass strength attribute requirements; the hollow crack skeleton is connected with spotting capillary tubes, and thus the water saturation in the cracks is controlled; based on the skeleton, rock mass gravel similar to the rock mass gravel in a site is laid and subjected to cooling treatment, prestress corresponding to ground stress is applied on the two sides for compaction, drilling is conducted in proportion for going deep and then penetrating the cracks through perforation, and by means of a grouting pump, high temperature grouting is conducted on the interiors of the cracks; by means of a PC terminal and a thermal inductance instrument, the grouting process is observed, after grouting is completed, a device is detached, and the diffusion form of grouting in the cracks is observed. The method is simple to operate, real-time diffusion of the grouting in penetrated crack rock mass and stress distribution during grouting are easily and truly reflected, and thus the method is an efficient test method for studying a complex crack rock mass grouting technology.

The invention relates to a coal mill fault early warning method based on DPC-MND and multivariate state estimation, and the method comprises the following steps: 1), building a training matrix K through operation data, corresponding to observation parameters related to a coal mill fault, in historical operation data of a coal mill, enabling the training matrix K to cover all dynamic change conditions of each observation parameter during normal operation of the coal mill; 2) adopting a density peak clustering algorithm based on mutual proximity to extract and construct a memory matrix D in thetraining matrix K, and constructing an MSET early warning model based on the memory matrix D; 3) obtaining an observation matrix Xobs in a to-be-estimated time period, inputting the observation matrixXobs into the MSET early warning model, and adopting multivariate state estimation to obtain an estimation matrix Xest; and 4) obtaining a residual matrix RL = Xobs-Xest between the estimation matrixXest and the observation matrix Xobs, setting a fault early warning threshold, and performing fault early warning through a sliding window method. Compared with the prior art, the method has the advantages of accurate early warning, real-time monitoring, accordance with actual operation, high fault early warning sensitivity and the like.

The invention discloses a method for intelligently observing a coronal mass ejection event. The method comprises the steps of starting a coronal mass ejection observation system, collecting and obtaining image data in a real-time mode according to parameters of the observation system, and storing the image data in an internal storage; obtaining a difference image, judging whether the coronal mass ejection event happens or not, and if the coronal mass ejection event happens, giving an alarm and adjusting the observation parameters and an observation mode of the image; judging whether a halo-shaped coronal mass ejection event happens or not again, and if the halo-shaped coronal mass ejection event happens, giving the alarm again; storing the collected image data into a hard disk. According to the application of the method for intelligently observing the coronal mass ejection event, happening of the coronal mass ejection event and happening of the halo-shaped coronal mass ejection event can be automatically distinguished, the collected parameters can be automatically adjusted, data obtaining is high in speed, and the accuracy rate is improved.

The invention relates to a visibility reuse-based three-dimensional scene direct illumination effect approximate drawing method. The method is characterized by comprising the steps of putting a virtual camera in the position of a viewpoint, and drawing a three-dimensional scene by utilizing a ray casting technology according to normal observation parameters; for each light ray A001 penetrating through pixels on a virtual pixel plane from the viewpoint, judging whether the light ray A001 is intersected with a geometric object of the three-dimensional scene or not, and if the light ray A001 is intersected with the geometric object of the three-dimensional scene, further calculating an intersection point A002, closest to the view point, of the light ray A001 and the geometric object of the three-dimensional scene, wherein the light rays A001 are in one-to-one correspondence with the pixels on the virtual pixel plane, and the interaction point A002 is a visual scene point B001; and increasing drawing speed and improving drawing quality of a direct illumination effect of the three-dimensional scene of area light source irradiation by reusing a visibility calculation result of an area light source sampling point.

Disclosed is an automatic radio environment test platform based on Labview and a third-party driving program. The platform is respectively composed of three parts, i.e., an antenna control rotary table, a total control computer and a frequency spectrograph, wherein the total control computer is respectively connected with an antenna rotation platform and the frequency spectrograph. A control program integrated in the total control computer comprises two sub-modules, i.e., a real-time antenna rotation platform control sub-module and a frequency spectrograph control sub-module, wherein the real-time antenna rotation platform control module issues a current orientation and a pitch value through a serial port to the antenna rotary table, and the frequency spectrograph control module connects the total control computer with the frequency spectrograph through a network line and has the functions of arranging observation parameters controlling the frequency spectrograph and reading observation data. The automatic radio environment test platform provided by the invention has the advantage of operation visualization, convenient data recording, simple operation and easy field operation.

The invention provides a method for determining the occurrence state of movable oil in a dense oil reservoir micro / nano pore throat system. The method comprises the following steps: (1) selecting a core sample; (2), setting an observation parameter of a field emission-environment scanning electron microscope, and observing a movable oil film in the rock sample; (3) determining the element content of the observed mobile oil film by an energy disperse spectroscopy, and if the carbon content is 50-90%, determining the observed movable oil film to be movable oil; and (4) expanding the peripheral area of the movable oil film, repeating the step (3), and if the carbon content is gradually reduced to below 30%, representing that the occurrence of the movable oil film is small, so as to determine the distribution range of the observed movable oil. By adopting the method disclosed by the invention, the difficulty that the movable oil is easy to volatilize and not easy to identify can be overcome, the problem that the resolution ratio in a conventional method cannot meet the requirements of crude oil observation in the micro / nano pore throat system is solved, and the occurrence state and the distribution range of the movable oil in the micro / nano pore throat can be accurately observed.

An apparatus for processing a three-dimensional image includes a specified value acquiring unit that acquires characteristics of a stereoscopic display unit as specified parameters, the stereoscopic display unit displaying a multi-viewpoint image created by mapping each pixel position included in a plurality of viewpoint images according to the characteristics; an observation value acquiring unit that acquires observation parameters indicating observation values of a stereoscopic image displayed on the stereoscopic display unit; a calculating unit that calculates conversion information indicating inverse mapping of the mapping based on the specified parameters; an observation value converting unit that converts observation parameters into converted parameters of the same dimension as the viewpoint images based on the conversion information; and a control unit that controls image processing on a viewpoint image corresponding to each pixel position of the stereoscopic image with respect to each of the viewpoint images based on the converted parameters.

The invention relates to a method (100) of controlling a viewing parameter for viewing an image on a display for displaying the image, the method comprising a determining step (110) for determining a view of interest within the image, an identifying step (120) for identifying a field of view within the display, a controlling step (130) for controlling the viewing parameter based on the field of view, and a computing step (140) for computing the image based on the controlled viewing parameter and on the field of view, which field of view comprises the view of interest, wherein the field of view is identified using an eye-tracking system for tracking an eye of a user. The method (100) provides a way of controlling the viewing parameter which reduces interruptions in viewing the view of interest. This is particularly useful for a surgeon performing a procedure on a patient using a surgical tool navigation system, when the surgeon needs to adjust a viewing parameter while watching the surgical tool and a surrounding anatomic structure displayed by the navigation system.

The invention discloses a method for achieving shielding mortar performance optimization based on a BP neural network algorithm and a genetic algorithm. The method comprises the following steps that multiple influencing parameters influencing mortar performance in the mortar mixing process and performance observation parameters capable of reflecting the mortar performance are selected; multiple groups of mortar samples are prepared according to different influencing parameters, performance observation parameters of the mortar samples are acquired, and normalization processing is performed to obtain sample matrixes X and performance sample matrixes Y respectively; the sample matrixes X are used as inputs, the performance sample matrixes Y are used as outputs, the BP neural network algorithm is applied to train the samples, a mixing process evolution model is established; the genetic algorithm is utilized to optimize the model, and an optimal range of the influencing parameters is found.

The invention relates to a lens displacement optometry system based on pupil image acquisition by adopting cloud technology, which comprises an optometry end, a pupil image database and a central server; a first retrieval step comprises: filtering acquisition parameters which are the same as calibration parameters from the pupil image database to obtain a first screening group composed of corresponding acquisition reference information; a second retrieval step comprises: determining an acquisition data within a preset range of a difference value of a calibration data from the first screening group so as to obtain a second screening group generated by the acquisition reference information; a third screening step comprises: determining the acquisition reference information from the second screening group and acquiring observation parameters corresponding to the acquisition reference information to the corresponding optometry end. According to the arrangement, firstly, a database can be established by continuously inputting samples; when a user needs to perform optometry, the optimal optometry parameters can be obtained according to the cloud server, so that optometry can be completedwithout the intervention of an optometrist.

A magnetic resonance (NMR) method for fast, dynamic, spatially resolved measurement of the temporal changes in NMR signals by means of repeated data acquisition in individual measurements (Acq) with measuring sequences which are sensitive to a parameter to be observed, in an NMR apparatus with shim coils for correcting the magnetic field is characterized in that during data acquisition of each individual measurement (Acq) in acquisition steps (S1 . . . Sn) with a time lag, the magnetic field distribution in the NMR apparatus is measured, technically or physiologically based changes in the magnetic field distribution are determined therefrom in a calculation step (Scalc) as well as a change in the currents in the magnetic field required for compensation thereof, and the dynamic changes in the magnetic field distribution are compensated for by means of the correspondingly changed shim currents. The inventive method permits dynamic detection of the changes in the magnetic field distribution through the above-mentioned factors during the measurement and compensation thereof through corresponding re-calculation of Δy(x,y,z) or ΔB0(x,y,z) and adjustment of the shim currents to render the magnetic field distribution for subsequent measurements again preferably identical to the initial magnetic field distribution.

The invention relates to an electric simulator for an underwater positioning system and belongs to the field of underwater positioning. The structure of the electric simulator of the invention is divided into a system software part and a system hardware part; the system software part is based on LabVIEW software and comprises a human-computer interaction module, a signal generation module and a data transmission module; the system hardware part comprises a data receiving module and a signal sending module; the human-machine interaction module includes an initialization parameter setting unit,a system operation parameter setting unit, a target observation parameter display unit, a data generation and transmission parameter display unit and a target track display unit; the signal generationmodule includes a Doppler frequency shift unit, a noise unit, a multi-path unit and a geometric attenuation unit; and the data transmission module include a signal waveform data unit, a delay data unit, and a target position information data unit. The electric simulator of the invention has the advantages of powerful functions, good simulated underwater sound receiving signal effect, simple software programs, user-friendly interface, high operability, convenience in laboratory joint debugging and greatly reduced cost.

The invention relates to a multifunctional service platform for a residential area export, which comprises a plurality of meteorological observation detection devices, a camera, an image processer, a wireless data receiving and sending interface, a display screen and a single chip microcomputer, wherein the plurality of meteorological observation detection devices are used for detecting a plurality of local meteorological observation parameters respectively; the camera and the image processer are used for detecting a license plate tail number of a car which is ready to go out at the residential area export; the wireless data receiving and sending interface is used for wireless receiving tail numbers in traffic control published by a communication platform of the local traffic department; the single chip microcomputer is respectively connected with the plurality of meteorological observation detection devices, the image processor, the wireless data receiving and sending interface and the display screen and used for displaying the plurality of meteorological observation parameters on the display screen and displaying text prompting information corresponding to the license plate in traffic control on the display screen when the license plate tail number is included in the tail numbers in traffic control. With the platform, the serve content of the service platform for the residential area export can be enriched, and convenience is brought to the residents.

The invention provides a PDE-based gravitational field data equivalent source continuation and data type conversion method. The method comprises the steps of: S1, inputting gravitational data d0, andestablishing a topographic fluctuating curved surface according to topographic height information of an area where the gravitational field data is located; S2, determining a spatial range of mesh generation according to the elevation information of the fluctuating observation curved surface of aerial survey and a set inversion maximum depth, and performing continuous structured non-uniform mesh generation on the spatial range according to the topographic fluctuating curved surface to further determine an equivalent source inversion mesh space; S3, according to a gravity background field U0, performing PDE three-dimensional inversion calculation with a depth regularization factor, a positive value constraint term and a regularization term on the gravity field data d0 based on the equivalentsource inversion mesh space to obtain a multi-layer equivalent source model of a gravity anomalous body; and S4, giving different observation parameters, and carrying out nonlinear PDE gravity fieldthree-dimensional forward modeling calculation by utilizing the multi-layer equivalent source model to obtain one or more of gravity anomaly vertical data, gravity anomaly field data Us' and gravity gradient tensor data generated after the continuation of the gravity anomaly body at different observation positions. The method can achieve the adaptive and high-precision continuation and data type conversion calculation of underground gravity abnormal data in a complex environment.