88results about How to "The result error is small" patented technology

The invention discloses a glass panel automatic warping degree measurement instrument. The glass panel automatic warping degree measurement instrument comprises a bottom seat, a high accuracy laser distance meter, a double shaft guide rail which is used to fix the high accuracy laser distance meter and moves and a fixing frame, wherein the double shaft guide rail is installed on the bottom seat and composed of a horizontal transverse guide rail and a horizontal lengthways guide rail, the high accuracy laser distance meter is installed on the fixing frame, and the fixing frame is installed on the horizontal transverse guide rail in slide mode. The glass panel automatic warping degree measurement instrument further comprises a plurality of flexible support frames and high accuracy horizontal glass used for correction, wherein the flexible support frames are arranged below sample glass, and the high accuracy horizontal glass and the sample glass are both arranged right below the high accuracy laser distance meter and used for detection. The glass panel automatic warping degree measurement instrument obtains a device measurement baseline by measuring the high accuracy horizontal glass, and due to the fact that the device baseline participates in the calculation process of warping degrees, a result error of the glass panel automatic warping degree measurement instrument is greatly reduced, and measurement accuracy is improved. Simultaneously, a nine point warping measurement technology is used, and warping values in eight directions of the sample glass is figured out through measurement results of nine points, and furthermore precision and accuracy of measurement are greatly improved.

The invention discloses a sample containing device for a cone calorimeter and a method for measuring fused solid and liquid samples by using the same. The sample containing device comprises a containing cavity, side walls for enclosing the containing cavity and a bottom wall, wherein the cross section of the containing cavity is circular; the sample containing device is further provided with a movable baffle for shielding the containing cavity; the interiors of the side walls and/or the bottom wall form a cavity; the cavity is internally provided with a high-temperature-resisting heat-insulation filler layer; scales are arranged on one side of the containing cavity enclosed by the side walls. The sample containing device disclosed by the invention is especially suitable for determining powder and liquid samples by matching with the cone calorimeter; the structure guarantees that the samples can be heated uniformly in the detection process and the testing accuracy is improved; the sample containing device is easy to clean and is good in heat-insulation effect; the testing method does not need to use an aluminum foil so that the cost is saved and sample preparation is simplified; meanwhile, an error caused by combusting the aluminum foil in the testing process is reduced and the testing is accurate.

The invention relates to a risk control model modeling method. The invention discloses a device, computer equipment and a storage medium. The method comprises the following steps of obtaining a positive sample data set and a negative sample data set, Authentication datasets, inputting the verification data set, the positive sample data set and the negative sample data set into a to-be-trained machine learning model for training until training conditions are met, obtaining an enterprise scoring model, taking the verification data set, the positive sample data set and the negative sample data set as sample characteristics of an abnormal inspection scoring model, and obtaining an abnormal inspection scoring model; combining The enterprise scoring model and the abnormal inspection scoring model to obtain the risk control model, and combinding the enterprise scoring model with the abnormal inspection scoring model to perform enterprise risk scoring, so that the result error is reduced, andthe accuracy and the stability of the risk control model are further improved.

The invention discloses a method for calculating the axial pressure bearing capacity of a composite stiffened wall plate. The factor that the modulus of the skin is possibly different from that of thestringer is considered; axial compression breaking load is calculated by considering the stiffened plate section of the skin with the effective width, the bearing capacity of the local buckling skinis superposed, the bearing capacity of the whole stiffened plate is finally obtained, and test results show that the result calculated by the method is small in error, lower than a test value and relatively conservative, and is more suitable for engineering application.

The invention discloses a space non-cooperation target dynamics parameter identification method with binocular camera assisting. The body velocity, angular velocity, joint angular velocity and joint position velocity under a inertial reference system are obtained through integration and differentiation and based on body acceleration, angular acceleration, the joint angle and service satellite bodygeometric features. According to kinetic formulas, external forces on a service satellite at a contact point is calculated, and the external force is the reaction of the service satellite to a target. A model of the target is established, and a relation equation between force and the acceleration is constructed under an inherent reference frame of the target. Multiple sampling is conducted by circulation, and parameters of the target are obtained by the least square optimization method to complete space non-cooperation target dynamics parameter identification. The method can accurately identify non-cooperation target quality characteristic parameters in the case of relative motion of the non-cooperation target-tail end actuator contact point, can reduce influence of noise, and has the advantage of little calculation amount.

The invention discloses a method for the non-destructive measurement and calculation of the casting length of an anchor bolt, and particularly provides a method for achieving the non-destructive measurement and calculation of the casting length of an anchor bolt by calculating the functional relation between amplitudes and attenuation coefficients during the propagation of ultrasonic guided waves in the anchor bolt in order to overcome the defects that the method for the non-destructive testing method based on the ultrasonic guided wave in the prior art is incapable of acquiring reliable results and the method itself is of no repeatability. The method comprises the following steps: using an anchor bolt which is completely identical with the anchor bolt to be measured and calculated as a reference basis; acquiring the characteristic indexes of the propagation of the guided waves in the casting part of the anchor bolt through the frequency scanning test and wave packet analysis of the ultrasonic guided waves under the preset testing conditions; and further carrying out the frequency scanning test on the anchor bolt to be measured and calculated under the same testing conditions, and calculating according to the result of the wave packet analysis and the acquired characteristic index values to acquire the casting length of the anchor bolt. The invention further provides a method for the non-destructive measurement and calculation of the total length of an anchor bolt on the basis of the method. The method of the invention has the advantages of reliable principle, scientific and convenient calculation, simple implementing instruments, convenient installation and high accuracy of the measurement and calculation result. Therefore, the invention is particularly applicable in the field of engineering.

The invention provides a brown algae and a detection method for detecting the alginic acid content of a brown algae product. According to the technical scheme of the detection method, the content of alginic acid in the brown algae is measured through high performance liquid chromatography. The condition of high performance liquid chromatography is as follows: octadecylsilane chemically bonded silica is adopted as the filler of a C18 chromatographic column and an acetonitrile-monopotassium phosphate buffer solution is adopted as a mobile phase. The detection method realizes the content detection of alginic acid through high performance liquid chromatography. The high performance liquid chromatography is high in efficiency, fast in speed and high in sensitivity. Meanwhile, the problem that the ultraviolet absorption is invalid for the saccharide material can be effectively solved. Moreover, the qualitative and quantitative analysis for an alginic acid extract can be accurately realized. In addition, the advantages of good separation effect, wide linear range, strong pertinence, good accuracy, high degree of separation, fast analysis, good selectivity and the like are realized. Therefore, the method can be widely applied.

The present invention discloses a battery residual power estimation method based on the NARX-UKF algorithm. The existing various methods have various problems. According to the method, voltage and current of a battery under different conditions is firstly measured, then the measured data is pre-processed, an NARX-UKF network is constructed, processed voltage and current training data is input intothe NARX network to train the network, after reaching a training target, test data is input, an input result of the NARX network is an estimated value of an SOC and also is an input quantity of the UKF model, and after the estimated value passes through the UKF model, a state update value obtained is an estimated battery residual power at current time. The method does not need to establish a battery model, and only requires a common measurable quantity to quickly and accurately estimate the battery residual power. The method has the advantages of fast model training, less required parametersand high estimation accuracy.

The invention discloses a multi-stage hierarchical clustering spatial correlation temperature sensing data redundancy removal method, which comprises the following steps of: step 1, acquiring a largeamount of temperature sensing data acquired by a temperature sensor network, improving a k-Means method by using an Euclidean distance and a Pearson distance on a Sink node, performing node similarityanalysis on the node according to node position coordinates, and solving a redundant node cluster; step 2, performing similarity judgment on the data in the cluster by using a Gaussian mixture clustering method at a cluster head CHs node of redundant node clustering, and further performing data redundant clustering on the nodes in the cluster; step 3, after the data redundancy cluster is obtained, randomly weighting the data in the data redundancy cluster to obtain a final redundancy removal result; and step 4, transmitting the temperature data subjected to redundancy removal to the Sink node. According to the multi-stage hierarchical clustering spatial correlation temperature sensing data redundancy removal method, the redundant nodes can be judged more accurately, so that the judgment of redundant data is more accurate, and the result error after redundancy removal is smaller.

The invention discloses a grading design method of thermally recycled asphalt mixture based on orthogonal design. The method comprises the following steps: designing an orthogonal test, and fitting agrading curve closest to a real condition according to a result, thereby performing grading design; and providing a rapid and prepared design method for the design and construction of a thermally recycled pavement, thereby improving the quality of the thermally recycled asphalt pavement. The grading design method disclosed by the invention has a certain guiding significance for the large-scale overhauling work of the pavement. The grading dissociation problem caused by the conditions that the dispersion degree of the RAP cannot be directly defined and the different particle sizes have different dispersion degrees in the thermal mixing process can be reduced. Through the optimal horizontal combination of each gear of dispersion coefficient determined through the orthogonal design, the RAP after dissociation correction can be furthest close to the real dispersion state in the RAP mixing process. The construction efficiency and quality of the thermally recycled pavement are improved, theimprovement of the construction efficiency and the quality promotes the consumption of the RAP, and the design method conforms to the national and global sustainable development subject.

The invention belongs to the technical field of bacteria detection, and specifically discloses a method for accurately determining bacteria in special condition on basis of microfluidic visualizationtechnology as well as selecting and enriching the bacteria in the special condition. The method for accurately determining the bacteria in the special condition on basis of the microfluidic visualization technology as well as selecting and enriching the bacteria in the special condition comprises the following steps: preparing bacterium fluid into microdroplets by adopting a microfluidic technology; and then, culturing the prepared microdroplets, taking photos of the cultured microdroplets, and carrying out counting by performing manual counting or in virtue of a computer technology and the like so as to obtain the number of the bacteria in the special condition. Moreover, the method also enables selection and enrichment of the bacteria in the special condition. Compared with existing counting mode adopting plate counting, or only counting living bacteria with complete membranes, the method for accurately determining the bacteria in the special condition on basis of the microfluidic visualization technology as well as selecting and enriching the bacteria in the special condition has greatly improved accuracy, and breaks through the existing counting mode of the bacteria in the special condition, so that food hygiene status can be timely and effectively judged; and thus, the method is an effective means for eliminating foodborne diseases caused by recessive remains of foodbornepathogens. In addition, the method is capable of performing selection and enrichment on the bacteria in the special condition, so that result error caused by cell heterogeneity in research process canbe reduced; and thus, the method is of relatively great value to studies on mechanisms of cell changes and bacteria growth activities.

The invention relates to a method for obtaining X-ray fluorescence intensity under a standard dilution ratio and application of the method. The method for obtaining the X-ray fluorescence intensity under the standard dilution ratio comprises: step 1, preparing a glass fuse piece from a to-be tested sample, wherein the dilution ratio of the glass fuse piece is R; step 2, performing X-ray fluorescence intensity determination on the prepared glass fuse piece, so as to obtain the X-ray fluorescence intensity I of an element in the sample; and step 3, according to a formula and calculating to obtain the X-ray fluorescence intensity I0 under the standard dilution ratio R0. The method helps to convert the element fluorescence intensity under different dilution ratios into the fluorescence intensity at the standard dilution ratio, so that the method is no longer limited by quantitative sampling, the analysis efficiency is substantially improved, and result error caused by moisture absorption and other reasons of a sample during weighing is reduced.

The invention discloses a defogging method based on image quality evaluation optimization. The defogging method comprises the following steps: 1) obtaining a series of preliminary candidate defoggingimages by roughly valuing transmissivity; 2) calculating quality evaluation function values of a series of preliminary candidate defogged images, and selecting the candidate defogged image corresponding to the maximum value as a preliminary estimation result; 3) obtaining a series of accurate candidate defogged images according to the small-range value of the transmissivity; and 4) calculating a quality evaluation function value of each accurate candidate defogged image, and selecting the candidate defogged image corresponding to the maximum value as an optimal defogged result image. Accordingto the invention, a brand new image quality evaluation function is established; and on the basis, an optimal result is selected from the candidate defogged images as a defogged result image, so thatthe method can be applied to real-time defogged processing of the foggy unmanned aerial vehicle image, and particularly, a relatively good defogged effect can be generated for a foggy unmanned aerialvehicle forward shot image.

The invention belongs to the technical field of communication, calculation and radar, and particularly relates to an optical domain cross-correlation operation method and device based on the Talbot effect, and the device comprises a mode-locked laser, a photoelectric modulator, an IQ modulator, a 90-degree optical mixer, a balance photoelectric detector, a photoelectric detector and the like. Themethod comprises the following steps of: performing phase modulation and signal amplitude modulation to be operated on two paths of pulse strings; frequency spectrum information to be operated is obtained under the time domain Talbert effect, then a frequency domain real part and an imaginary part of a signal correlation result are obtained through a 90-degree optical mixer, finally IQ modulationis carried out on a new pulse string, and a signal bearing the time domain correlation result is obtained through the time domain Talbert effect again. According to the method, the time domain Talberteffect of light is applied, correlation operation of signals is achieved through discrete Fourier transform of the signals and the 90-degree optical mixer, and the method has the advantages that theoperation speed is high, the result error is small, and the processing bandwidth is large by adopting the light method.

The invention discloses an intersection control delay prediction method based on random traffic demand and traffic capacity. The method comprises the steps of calculating the probability distribution function of the initial queuing length of each cycle of an intersection and intersection joint probability distribution function according to input intersection traffic volume and green ratio joint probability distribution function, intersection saturation flow probability distribution function, signal control cycle duration and data acquisition time interval; predicting signal control delay of the intersection within one cycle according to the actual initial queuing condition of the intersection, actual intersection traffic capacity and actual intersection traffic volume; calculating the long-term mean value and standard deviation of signal control delay according to the signal control delay of the intersection within one cycle and the intersection joint probability distribution function; conducting intelligent traffic signal control according to the calculated long-term mean value and standard deviation of the signal control delay. The method has the advantages of being small in error and convenient to use and can be widely applied to the field of intelligent traffic.