90results about How to "The result error is small" patented technology

The invention discloses an OFDM (Orthogonal Frequency Division Multiplexing) system parametric channel estimation and equalization method based on compressed sensing technology. The channel estimation method comprises the following steps: 1) an OFDM frequency domain at a pilot subcarrier receives data, and parameter estimation is carried out on the channel based on a channel parametric model: firstly, according to a MDL (Minimum Description Length) criterion, a multipath number estimation value L<^> of the channel is obtained; then, the ESPRIT (estimation of signal parameters by rotational invariance techniques) technology is used for estimating delay parameters for each path, and multipath delay estimation values tau<^>=[tau<^>1, tau<^>2,..., tau<^> < L<^>>] are obtained; and 2) a parameter estimation result is used for building a redundant dictionary matrix, and a channel response estimation value is solved through a BPDN algorithm. Based on parametric channel modeling, the signal parameter estimation technology is combined with a compressed sensing frame, the channel estimation precision and the communication efficiency are improved, and the communication bit error rate is reduced. Compared with the traditional channel estimation method, the method of the invention has obvious performance advantages.

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 object of the invention is to provide an image registration method and image registration equipment. The image registration method comprises steps that characteristic points of acquired annularly-arranged to-be-registered images are calculated; an initial relative offset vector between each two adjacent images of the annularly-arranged images is determined according to the characteristic points of the annularly-arranged to-be-registered images; the relative rotation angles of the annularly-arranged to-be-registered images and the relative offset vectors of the annularly-arranged to-be-registered images after being rotated by the above mentioned angles are determined according to the initial relative offset vectors. By introducing a priori model of image annular arrangement, the characteristic points of the various images of the model are calculated, and the initial relative offset vector between each two adjacent images of the annularly-arranged images is determined, and then the relative rotation angles of the annularly-arranged images are calculated by using the model information of the image annular arrangement in an actual condition and the initial relative offset vector between each two adjacent images of the annularly-arranged images, and therefore result errors are reduced after image registration.

The invention provides a passive positioning method for a single hydrophone by combining a waveguide invariant and a line spectrum. The passive positioning method mainly comprises the steps of estimating the distance of a sound source by utilizing a continuous spectrum and a line spectrum of radiation of a target in a combined manner, firstly estimating a coupling parameter of the sound source by using the continuous spectrum through hyperbolic bright fringes, then estimating the relative speed of the target through the line spectrum, and then fitting real speed of the sound source by using relative speed information of multiple times; and finally combining a motion coupling parameter and the motion speed, and estimating the distance of the sound source at different moments in a combined target motion model. The passive positioning method has the beneficial effects that the distance of a sound source at different moments can be accurately estimated in a uniform rectilinear motion model, and the method is only applicable to one hydrophone compared with an existing method that double array elements utilize a geometrical relationship between the array elements and a vector hydrophone to estimate a course angle. In addition, the passive positioning method does not need to estimate a course angle of the target, thereby being more concise.

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 provides a method for detecting effective ingredients of isodon lophanthoides. According to the detection method, the content of isoschaftoside, isoschaftoside and rosmarinic acid in isodon lophanthoides is determined by employing HPLC; and the conditions of HPLC comprise: a C18 reversed phase chromatographic column employing octadecylsilane bonded silica as a filling agent is employed, the mobile phase comprises a mobile phase A which is methanol, and a mobile phase B which is a 0.1% (volume) aqueous solution of phosphoric acid, and gradient elution is performed; the program of gradient elution comprises: 0-30 min, 30% of the mobile phase A and 70% of the mobile phase B; 30-70 min, 30% -> 50% of the mobile phase A, and 70% -> 50% of the mobile phase B, wherein the ratio of the mobile phases employs the volume percentage. The detection method successively helps to realize simultaneous determination on content of effective ingredients flavonoids and rosmarinic acid in isodon lophanthoides by employing HPLC, and the data can be used to characterize the medicinal material quality of isodon lophanthoides. A chromatogram of the content of isoschaftoside, isoschaftoside and rosmarinic acid is shown in the specification.

Disclosed in the invention is a genetic-algorithm-based active removing task planning method for space debris. The invention relates to an active removing task planning method for space debris, so that a problem the active space debris removing task planning is easy to fall into local optimization because of the coding way and the crossed and mutation operations according to the existing genetic algorithm is solved. The task planning method is used for solving a debris capturing path optimization problem. According to task characteristics of a platform, a debris removing task is set; mathematical modeling of the platform task planning problem is carried out to obtain a traveling saleman urban shortest path realization problem; on the basis of characteristics of space debris, a fitness function for a mechanical arm capturing plan and a fitness function for a flying net and mechanical arm capturing plan are designed respectively; a specific genetic parameter is set and optimization solution is carried out by using a genetic algorithm, so that convergence is realized rapidly and the capturing path for space debris is planned. The active removing task planning method is suitable for active removing task planning of space debris.

The invention, which relates to the field of cathode materials for a lithium battery, discloses a method for determining the performance of a cathode material for a lithium ion battery. The method comprises: taking a cathode material of a lithium ion battery and making a battery by using the cathode material; carrying out charging-discharging circulation; after completion of the charging-discharging circulation, measuring a capacity retention ratio; taking out a pole piece of the battery, detecting a metal dissolution substance on the pole piece and thus measuring contents of all metal components in the metal dissolution substance conveniently; and on the basis of the measuring result, carrying out analysis by combining the capacity retention ratio of the battery after charging-dischargingcirculation completion to determine the performance of the cathode material of the lithium ion battery. The method is simple, efficient and accurate; the metal dissolution substance amount after charging-discharging circulation of the battery can be detected accurately; the result error is small and the accuracy is high; and thus the powerful base is provided for determining the performance of the cathode material of the lithium ion battery accurately.

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 reliability approximate calculation method for a large-scale multi-state series-parallel system. According to the multi-state series-parallel system, connection structures between any father node and all subordinate child nodes are divided into four classes, and then different modes are adopted to perform processing according to the four classes; state probability distribution of the father nodes on all layers is sequentially calculated progressively upwards from tail-end leaf nodes of a complete tree structure through the four classes; and finally state probability distribution of root-end father nodes of the whole multi-state series-parallel system can be obtained, and therefore the reliability of the multi-state series-parallel system is obtained. Through the method, reliability approximate calculation of the large-scale multi-state series-parallel system is realized, balance between calculation precision and calculation efficiency is realized, calculationcomplexity is improved to quadratic complexity from original exponential complexity of precise calculation, and calculation speed is greatly increased.

The invention provides a method for extracting and measuring aloe polysaccharide from aloe. The extraction method comprises the steps of preparing samples, performing microwave treatment, performing ultrasonic extraction, performing ultrasonic extraction for the second time and measuring the aloe polysaccharide. The extraction adopts the synergistic effect of a microwave assistance method and an ultrasonic assistance method, and has the advantages of simple operating steps, capability of saving solvents, high product yield, short treatment time and the like. The aloe polysaccharide content is measured by a spectrophotometry, so the method is simple and rapid, small in result error and high in stability.

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 water quality monitoring device. The water quality monitoring device comprises a casing, a front cover plate and a rear cover plate, wherein 6 hollow cavities are formed between two end surfaces in the length direction of the casing. A TDLAS (tunable diode laser absorption spectroscopy) technology is successfully applied to the underwater part, low-cost continuous linearmonitoring of multiple monitoring points is realized, and the water quality monitoring device is unattended, is particularly suitable for meeting the requirements of long term property, continuity andsudden change performance of hydrologic and water-quality monitoring and has positive effect on existing water quality environment detection and monitoring probably.

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 water quality monitoring device and a detecting method. The water quality monitoring device comprises a shell, a front cover plate and a rear cover plate, wherein 6 hollow cavities are arranged between two end faces in the length direction of the shell. The detecting method of the water quality monitoring device comprises 7 steps of single chip microcomputer detection and the like. The water quality monitoring device successfully utilizes a TDLAS technology underwater, achieves continuous monitoring with low cost, multiple monitoring points and continuous linearity, avoids staff duty, is especially suitable for the characteristics of long lasting, continuity and mutability of hydrology and water quality monitoring and possibly has a positive effect on detecting and monitoring existing water quality environment.

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 provides a height-adjustable single-droplet flash evaporation experimental device which comprises a constant-temperature water bath box for providing constant-temperature water; a micro-injection pump which is connected with the constant-temperature water bath box through a water pipe; a stainless steel capillary tube lifting adjusting piece which is connected with the micro-injection pump through a water pipe; a stainless steel capillary tube which is connected to the bottom of the stainless steel capillary tube lifting adjusting piece; a flash chamber, wherein a stainless steelcapillary tube lifting adjusting piece is fixed at the top of the flash chamber; a flash chamber lifting adjusting piece which is connected to the flash chamber; a heating block which is arranged under the stainless steel capillary tube, wherein a red copper sheet is placed on the upper surface; a thermistor which is arranged on the red copper sheet and used for measuring the temperature of the hot surface, namely the surface of the red copper sheet; a heating controller which is connected with the heating block; a vacuum pump which is connected to the outer side of the flash chamber; a pressure sensor which is connected to the outer side of the flash chamber; a temperature sensor which is connected to the outer side of the flash chamber; a data acquisition instrument which is connected with the thermistor, the pressure sensor and the temperature sensor; and a computer which is connected with the data acquisition instrument.

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 belongs to the technical field of bolt grid modeling, and particularly relates to a bolt entity grid modeling and loading method. The method comprises the steps: dividing the bolt finite element model by adopting a tetrahedral mesh, creating rigid connection units of constraint points-partial nodes of the transmission shell, and applying constraints; automatically distinguishing bolt models by applying a TCL language, and applying a bolt pre-tightening force: applying loads to corresponding loading points on the transmission shell assembly according to actual working condition loads; and exporting calculation files in the step 1 to the step 4 through Hypermesh software, wherein the calculation files are used for simulation analysis of the transmission shell assembly. According to the method, finite element models of all bolts of the same family are obtained through rapid copying of a bolt model, and bolt pre-tightening force is applied through one key; compared with a currently disclosed bolt modeling method and a bolt pre-tightening force loading method, the method is more advanced and irreplaceable.

The invention discloses a double-laser scanner calibration method, device and equipment. The method comprises the following steps: establishing a differential motion model; controlling the vehicle body to walk a set route according to the differential vehicle motion model; acquiring motion route data of a vehicle body and positioning data of a laser; calculating the deviation between the laser andthe vehicle body motion center; and calibrating the double-laser scanner according to the calculated deviation value. According to the invention, result errors caused by manual misoperation are reduced; and the influence of the vehicle body machining error on the calibration result is reduced.

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 relates to a method for detecting polyvinylpyrrolidone content in a contact lenses caring composition. The method comprises the following steps: respectively preparing a stock solution,a blank stock solution, and a caring composition standard stock solution, using a linear relation of an absorption value y and concentration x of polyvinylpyrrolidone under different concentrations todetermine the polyvinylpyrrolidone concentration in the nursing composition, which is pretreatment of the to-be-measured caring composition, determining polyvinylpyrrolidone concentration in the to-be-measured caring composition, taking the blank stock solution as a blank solvent and a reference solution respectively to obtain an ultra-violet absorption curve y=ax+b of the to-be-measured caring composition corresponding to an ultra-violet absorption wavelength, taking a ultra-violet absorption value of the to-be-measured caring composition, and substituting the ultra-violet absorption value into the standard curve of the polyvinylpyrrolidone concentration in the caring composition to obtain the polyvinylpyrrolidone concentration in the to-be-measured contact lens caring composition. The method has the advantages of simpleness and rapidity, low detection limit, and sensitive and stable signal, and can satisfy detection requirement.

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.

The invention provides a space-time power balancing method and system for a power grid, and the method comprises the steps: considering the uncertainty of wind power output in a day-ahead stage, generating a large number of random scenes, carrying out the equivalent building of an inter-network space power balancing model for each network, and employing the sensitivity of node voltage and branch current to node power to prevent the node voltage and branch current from exceeding the limit, obtaining an operation domain of the flexible multi-state switch; establishing a model in each day-ahead network by taking an optimization result of a space power balance flexible multi-state switch between the day-ahead networks as a basis and taking time power balance in each network as a target, and obtaining an operation domain of the energy storage device according to a large number of random scene optimization results; and in the intra-day stage, based on the operation domains of the flexible multi-state switch and the energy storage device, the final power of each regulation and control means in each time period is obtained by taking the weighted sum of the intra-day electricity purchase cost from the superior power grid and the voltage deviation as the target. Compared with a traditional regulation and control mode, the method has the advantages that the operation cost can be reduced, and the flexibility of intraday regulation and control is improved.