35results about How to "Estimated realization" patented technology

The invention relates to a typhoon disaster risk estimate method. The method includes performing statistics and analysis on loss data caused by a typhoon disaster in a specified monitored area, selecting disaster-inducing risk, disaster-formative environment sensitivity, disaster-affected body vulnerability and disaster preventing and reducing capacity to build a typhoon disaster risk estimate index system, building a typhoon disaster risk estimate model with the theory of fuzzy transformation, taking typhoon estimate results as start conditions and input conditions of the estimate model, and judging whether the estimated area is induced a typhoon disaster or not in a future period of time and determining a disaster-inducing risk level through calculating and analyzing of the estimate model. Accordingly, early-warning capability of meteorological disasters is improved by the typhoon disaster risk estimate method.

The invention provides a method for remote sensing quantitative estimation on the woodland site quality. A soil organic matter, a soil humus layer, the thickness of soil, a gradient, the slope aspect and the altitude are selected as leading factors by analyzing a grading basis and a grading criterion of four grades including grade I, grade II, grade III and grade IV of the traditional site quality, estimation and inversion of all thematic information are realized on the basis of a 3S technique by utilizing relevant ground information of regional ground actual measurement and investigation, a score table of the woodland site quality is established by adopting a quantification theory, and the verification precision is 81%. The method has the advantages of strong reality, time saving and labor saving and is important in reflecting the change of the regional woodland site quality by utilizing the advantages of remote sensing time; in addition, the precision of all estimation results of the method is increased, and an important basis is provided for optimization management of woodland.

The invention discloses a Kalman filtering-based method for estimating an attitude angle of a rescue wrecker. A kinetic model of the rescue wrecker is built, a computing formula of a roll angle and a pitch angle is simplified according to the working characteristics, and the estimated values of the roll angle and the pitch angle of the rescue wrecker are obtained by use of a Kalman filtering algorithm. According to the method, few sensors are used, the relatively large roll angle and the relatively large pitch angle can be estimated under a complex rescue environment, and the method has the remarkable advantages of high precision, low cost, good real-time performance, wide application range and the like, and can be used for posture monitoring and dangerous posture prewarning of the rescue wrecker.

The invention discloses a light source estimation method and device based on multiple spheres and an electronic device. The light source estimation method comprises the steps that light spots on the surfaces of specular reflection spheres are detected from images, and coordinates of central points of the light spots in image planes are obtained; according to the coordinates of the central points of the light spots in the image planes and parameters of a vidicon, back projection is conducted on the central points of the light spots to obtain a ray; according to the raw direction and the normal directions of the central points of the light spots, the direction of a self-luminous light source is calculated; brightness detection is conducted on the Lambert spheres in the images to obtain the brightness of spherical points of visible parts of the Lambert spheres; a lighting equation is established for the spherical points of the visible parts of the Lambert spheres respectively, the lighting equations form an overdetermined equation set, and the intensity of ambient light and the intensity of the self-luminous light source are solved. The light source estimation method is a new method.

The invention provides an advertisement putting effect estimation method and device, a server and a storage medium, and the method comprises the steps: receiving a putting effect estimation request which indicates a target industry to which a target advertisement to be subjected to putting effect estimation belongs, a target putting channel, and target time for requesting for putting effect estimation; determining the effective duration of putting the advertisement of the target industry in the unit time of the target putting channel in the target time, and calculating the total exposure number of putting the advertisement of the target industry in the unit time of the target putting channel in the target time based on the effective duration and a preset advertisement loading rate; And according to the total exposure number, calculating the exposure number of the target advertisement in the target delivery channel per unit time in the target time, so as to achieve the estimation of theadvertisement delivery effect on the basis of not using the actual advertisement delivery effect.

A road traffic congestion degree estimation system includes smart plate readers that detect vehicles driven on a general road externally leading to a resort. The numbers of local vehicles and strange vehicles that currently exist in the resort are calculated, based on the number of vehicles approaching the resort, the number of vehicles receding from the resort, and information of smart plates of the detected vehicles. Furthermore, a prospective degree of traffic congestion on an expressway, which introduces the strange vehicles receding from the resort via the general road into areas where the strange vehicles are based, is estimated based on the above calculated numbers of local vehicles and strange vehicles. In this estimation, the number of strange vehicles contributes more greatly to an increase in the degree of traffic congestion than the number of local vehicles does.

The invention relates to a third-level type motor rotor position estimation method for salient pole characteristic change. Targeted to characteristics of a third-level type motor multi-level combination structure, a new signal transfer and detection channel is established between a main generator and an exciter and is shown as the graph 2; high-frequency signals are injected on the stator side of the main generator through the signal transfer channel, the signals sequentially pass through a main generator air-gap magnetic field, a rotating rectifier and an exciter air-gap magnetic field, then high-frequency response signals are extracted out of an exciter stator winding, and estimation of the position of a motor rotor is achieved. According to the main generator injection-exciter detection signal transfer and detection thought, the characteristic that mutual inductance between the main generator stator winding and the exciter winding changes along with the position of the rotor is fully utilized, and the position of the main generator exciter winding, namely the position of the rotor magnetic pole is estimated. The estimation method does not depend on salient polarity of a motor, and the method is still applicable when the main generator salient polarity changes in the starting process.

The invention relates to an aboveground vegetation ecological water estimation method based on airborne LiDAR and Sentinel-2A data, solves the hydrological effect problem of vegetation from a macroscopic level, undoubtedly is beneficial exploration and attempt, and comprises the following steps: step S10, selecting a research area, and collecting field sample plot survey data; s20, 18 characteristic indexes are extracted from Sentinel-2A remote sensing data, and a vegetation canopy ecological water model is constructed; s30, according to the field survey data, a nonlinear model is adopted to construct a coniferous tree and broad-leaved tree breast height-tree height conversion model; step S40, acquiring single-tree vertical structure information through airborne LiDAR data; s50, constructing an airborne LiDAR vegetation stem and branch ecological water inversion model; and step S60, combining the Sentinel-2A vegetation canopy ecological water with airborne LiDAR vegetation stem and branch ecological water to obtain an above-ground vegetation ecological water reserve result. Compared with a single passive remote sensing source, the above-ground vegetation ecological water reserve result has the advantage that the accuracy of the above-ground vegetation canopy, stem and branch ecological water estimation technology is greatly improved.

The invention provides a magnetic suspension motor fault-tolerant control system and method based on a self-sensing technology, and relates to the technical field of magnetic suspension motor control. The system comprises a magnetic suspension permanent magnet synchronous motor, a sensor module, an upper computer communication module, a power amplifier module and a controller module. When a displacement sensor in the sensor module has a fault, the controller module is integrated with the fault-tolerant control method for the displacement sensor of the magnetic levitation motor with a self-sensing technology, and the method can realize the estimation of displacement through calculation of collected current information and replace the fault displacement sensor to continuously collect displacement information. And major safety accidents caused by faults of the displacement sensor are avoided.

This invention discloses a CFO evaluation method based on multiple noises. The method comprises the steps of triggering multiple noises, acquiring a composite signal, evaluating a deflection factor and evaluating a CFO. The CFO evaluation method based on multiple noises can generate different received signals by utilizing multiple noises. The received signals can be composited by utilizing the transpose reversible property of a unitary matrix; the frequency deflection of transmission signals and received signals can be acquired based on the correlation of channels; and on the premise of a certain signal-to-noise ratio, the method has smaller minimum mean square error.

The invention provides an event estimation method and device and electronic equipment, and the method comprises the steps of obtaining first order data in a target region in a specified time period; comparing the first order data with historical data in the target area, and judging whether the first order data is separated from a rule of the historical data in the target area or not; and obtainingan estimation result of whether a set event occurs in the target area or not according to a judgment result. According to the embodiment of the invention, the method achieves the comparison and analysis of the order condition at the current time and the order condition in the historical data, and achieves the estimation of the possible experiencing event of the target region.

The invention mainly discloses a complex signal phase-based bit reversal-prevention rapid capture method. According to the method, down frequency conversion is carried out on a received signal and blocking is carried out on local related signals and the received signal to obtain a matrix; code phase search processing is carried out on the obtained matrix to obtain a to-be-detected variable; coherent integral detection is carried out to obtain a coherent integral value of the code phase search processing; code phase processing is carried out on the received signal to obtain a to-be-detected variable of the code phase processing; position reversal is carried out on obtained estimated bit data; coherent integral detection is carried out again to finally obtain a to-be-solved parameter code phase; and finally an estimated capture parameter ode phase and a frequency are obtained, so that the rapid capture of GNSS signals is realized. The method is capable of rapidly and accurately estimating code phases, so as to realize the estimation of capture parameters under the condition of bit symbol reversal.

The invention discloses a wrestling detection method based on human body posture and orientation estimation. The method comprises the following steps that a mobile phone terminal receives human body motion data measured by sensor integrated equipment and carries out input correction; human body data is fused and interference terms are removed through Kalman filtering; a human body posture angle isestimated according to the human body motion data; and wrestling detection and judgment are performed according to the human body motion data and the human body posture angle. According to the invention, the detection method is integrated on the mobile phone terminal, a user only needs to wear a piece of a portable sensor integrated device, and the mobile phone terminal downloads a matched client, so that robust wrestling detection can be realized. When a user tumbles, the mobile phone terminal can give an alarm in time. The user can wear the sensor integrated device on any part such as a trunk or legs, and when the sensor integrated device is worn on the waist and the legs, the accuracy of wrestling detection reaches 100%.

The invention relates to an estimation method for a single-particle error rate section of a radiation-proof complex integrated circuit. According to the technical scheme, a ground full-function test program is compiled according to system functions of the circuit; the circuit is divided into multiple modules according to the principles that duty factors are equal, radiation effect types are the same, and a physical layout can be divided; the duty factors of all the modules in a ground accelerated test are solved; a single-particle error rate section estimation model is established according to the correlation between the single-particle error rate section of the whole circuit, single-particle intrinsic error sections of all the modules and the duty factors; the radiation-proof performance of the radiation-proof complex integrated circuit under a space application program can be estimated through the model; and the worst single-particle error rate section of the ground is estimated according to the maximum duty factor of each module. Therefore, pre-estimation of the single-particle error rate section of the radiation-proof complex integrated circuit is realized, and a reference basis is provided for spatial engineering application model selection of the radiation-proof complex integrated circuit.