134results about How to "Choose reasonable" patented technology

The invention relates to the technical field of cloud computing, and provides a dynamic resource monitoring and scheduling method of a cloud computing platform IaaS layer, for monitoring and scheduling resources of a data center composed of a control server and a plurality of computing servers. The method comprises: the control server collecting current state information of each computing server in the data center; traversalling and collecting use states of all working nodes in the data center; determining load states of the working nodes in the data center; performing virtual machine migration condition determination; selecting target virtual machines in the working nodes to be migrated; selecting target servers for the target virtual machines; and migrating the target virtual machines to determined target servers. According to the invention, a time-based SLA integration grade is utilized to measure the computing capacity of each server in the data center, the size of a memory and a bandwidth is taken as a consideration factor of resource scheduling, and the resource scheduling of the heterogeneous data center is finished. According to the memory occupation size of the virtual machines, a scope segmentation method is used so as to effectively measure the scheduling cost of each virtual machine.

The invention belongs to the field of soft magnets, and particularly provides a soft-magnetic nickel-copper-zinc ferrite material which comprises major components and minor components, wherein the major components comprise the following components in percentage by mol: 46.5-50.0 mol% of Fe2O3, 12.0-17.0 mol% of NiO, 27.0-31.0 mol% of ZnO and 4.0-8.0 mol% of CuO; and the minor components comprise manganese oxide and bismuth oxide, wherein on the basis of the total weight of the major components, the total weight percent of the minor components and standard substances thereof MnO and Bi2O3 is 0.1-1.0 wt%. Under the wide frequency of 50 KHz-10 MHz and especially high frequency of 1 MHz-10 MHz, the material provided by the invention has the characteristics of high magnetic conductivity (mu i is approximately equal to 300, and f is equal to 1 MHz), high resistivity, low specific loss, low specific temperature coefficient and the like.

The invention belongs to the field of soft magnetic ferrite materials, and in particular, relates to a NiCuZn soft magnetic ferrite material used for low temperature co-sintering. The material comprises major constituents and accessory constituents, wherein: the major constituents consist of ferric oxide, nickel oxide, zinc oxide and copper oxide, the molar percentage content of each major constituent being Fe2O3 45.5-48.5 mol%, NiO 16.5-19.5 mol%, ZnO 28.0-30.5 mol% and CuO 6.0-8.0 mol%; the accessory constituents comprise manganic oxide and bismuth oxide, compared with the gross weight of the major constituents, the weight percentage gross of the accessory constituents being 1.1-3.5 wt% calculated by taking MnO and Bi2O3 as standard. The invention also provides a preparation method for the ferrite material. When used for preparing MLCI devices under high frequency usage, the material of the invention has advantages in that: the material has a relatively low sintering temperature and metallic silver is not easy to diffuse during co-sintering; and the material ensures that the MLCI devices can obtain excellent magnetic properties and have a relatively good consistency.

The invention provides a method for transfer printing, positioning and stamping for fabric or leather, which comprises the following steps of: (1) selecting a base membrane, wherein the base membrane is selected from PET (polyethylene glycol terephthalate), BOPP (biaxially-oriented polypropylene), aluminum-plated stamping membrane or paper; (2) printing in a dyeing way; printing one color, firstly drying, and printing next color and carrying out the next drying, till that a preset pattern is formed by printing all color cells; (3) positioning and gluing, and printing the glue on the position to be gilded on the base membrane which is printed by ink, wherein the glue is selected from polyurethane or polyamide; and (4) gilding, gilding the position printed with the glue, and drying under low temperature and rolling simultaneously, so that the base membrane to be transfer printed, positioned and stamped attached with a dyeing pattern is prepared, wherein the drying temperature is from 50 DEG C to 60 DEG C; (5) hot-pressing; and (6) rolling in a separating way. The method has the beneficial effects of: being free from coating release agent, short in labor hour, and low in cost; advanced in gilding mode, quick in speed and good in effect, and capable of being secondly gilded.

An embodiment of the invention provides a method and a device for selecting operating points. The method includes acquiring performance parameters of engines according to design external characteristics of the engines by means of computing; extracting given normalization operating proportions in standard tests; acquiring operating points of the engine in the standard tests by means of computing by the aid of the performance parameters and the operating proportions; generating visual graph spectra according to the operating points, selecting a preset quantity of pre-selection operating points from the visual graph spectra, optimizing the performance of the pre-selection operating points, acquiring the optimal electronic control parameter values corresponding to the pre-selection operating points and acquiring integral pulse spectra of electronic control parameters by means of interpolation. The pre-selection operating points include world harmonized steady-state cycle (WHSC) operating points with transient operation, world harmonized transient cycle (WHTC) operating points and non-exceeding regional test (WNTE) operating points. The method and the device have the advantages that the operating points can be selected in a standardized and normalized manner; the operating points which are designed experimentally can be selected reasonably, and the method and the device are favorable for optimizing the pulse spectra in follow-up procedures.

The invention belongs to the field of soft-magnetic ferrite materials. The objective of the invention is to provide a soft-magnetic nickel-copper-zinc ferrite material and a preparation method thereof. The material provided by the invention comprises major components and minor components. The major components comprise the following raw materials in mole percentage: 47.0-49.0mol% of Fe2O3, 17.5-18.5mol% of NiO, 26.0-29mol% of ZnO and 6.0-7.0mol% of CuO. The minor components comprise, based on the total weight of the major components, 0.1-0.40% of MnO, 0.1-0.5% of Bi2O3 and 0.3-0.5% of Co2O3. Under a high frequency of 13.56 MHz, the material provided by the invention has the characteristics of high magnetic conductivity ([mu]' is approximately equal to 130), low complex magnetic permeability [mu]''(namely low loss), high resistivity, high Curie temperature, high saturation magnetic induction density Bs, and the like.

The invention discloses an electricity larceny identification method based on a support vector machine, and relates to an electricity larceny identification method. The current electricity larceny prevention technology only depends on monthly electric quantity change of a user and line loss abnormity of a transformer area to determine suspected electricity larceny households, and has the problemsof poor timeliness, low accuracy, and low efficiency when electricity larceny behaviors are found through on-site investigation. The method comprises the steps of fluctuation ratio calculation, normalload data sample selection, establishment of an SVM normal load data classification model according to the normal load data samples, electricity stealing identification according to the SVM normal load data classification model, separation of suspected outliers of electricity stealing, determination of electricity stealing sample points and setting of electricity stealing point alarms. Accordingto the technical scheme, the novel electricity stealing identification method is combined with a method for calculating the electric quantity fluctuation rate and a support vector machine analysis method. Appropriate sample data are selected for the support vector machine by calculating the electric quantity fluctuation rate, so that adverse effects of sample problems on a detection analysis result can be effectively reduced, and an electricity stealing detection result is more accurate.

The invention relates to the field of mobile communication, in particular to the technology of configuring a receive buffer applied to multi-path transmission. A method for configuring the receive buffer applied to the multi-path transmission comprises the following steps: measuring to obtain a round trip time parameter RTT of each single path; determining a required receive buffer size abuf_sizeof each single path in multiple paths; according to the RTT and the abuf_size of each single path, determining a required buffer size bufs_size of the multiple paths; and configuring the receive buffer applied to the multi-path transmission according to the determined bufs_size. The invention also provides a device for configuring the multi-path transmission protocol receive buffer, and a transmission path selecting device and method. The required size of the multi-path receive buffer determined according to the required receive buffer size and the round trip time parameter of each single pathis more accurate, so the configuration performed on the receive buffer according to the determined required size of the multi-path receive buffer is more reasonable.

The invention relates to a semantic segmentation method and system based on dynamic interpolation reconstruction for streetscape understanding, and the method comprises the steps: carrying out the preprocessing of an input image of a training set, enabling the image to be standardized, and obtaining preprocessed images with the same size; extracting general characteristics by using a convolutionalnetwork, then obtaining hybrid space pyramid pooling characteristics, and extracting coding characteristics by using the two parts of cascading as a coding network; selecting an intermediate layer characteristic from the convolutional network, calculating an interpolation weight characteristic in combination with the encoding characteristic, constructing a decoding network in a dynamic interpolation mode, reconstructing an image resolution, and calculating a decoding characteristic; performing calculating to obtain edge-enhanced semantic segmentation loss, and training the deep neural networkwith the purpose of minimizing the edge-enhanced semantic segmentation loss; and performing semantic segmentation on the to-be-segmented image by using the deep neural network model, and outputting asegmentation result. The method and the system are beneficial to improving the accuracy and robustness of image semantic segmentation.

The invention discloses an existing railway longitudinal plane line position integral intelligent reconstruction method, which comprises the following steps of 1) establishing a longitudinal plane line position integral reconstruction optimization model by taking the number of variable slope points, the positions of the variable slope points and the vertical curve radius as optimization variablesand taking the minimum sum of squares of whole line integral lifting and falling path quantities as an objective function and considering various constraint conditions; 2) according to the gradient change rate of the actual measurement point, preliminarily dividing the actual measurement point into a series of straight line and vertical curve point groups; 3) fitting the divided straight line andvertical curve point group, then adjusting the point group to which the actual measurement point belongs according to a fitting result, and further dividing the straight line and vertical curve pointgroup; repeating the step until the attribution of each actual measurement point is not changed any more, and solving the variable slope point quantity accurate value and the values of other optimization variables; and 4) taking the solving result of the step 3) as an initial solution, and solving the optimal solution of the optimization model by adopting a particle swarm optimization algorithm torealize the overall intelligent reconstruction of the existing railway longitudinal plane line position. The method is high in efficiency and precision.

The invention belongs to the technical field of radar radiation source signal identification and evaluation in electronic countermeasure, and discloses a radar radiation source signal identification efficiency evaluation method and system. The method comprises the following steps: firstly, analyzing attributes with relevance characteristics under an evaluation criterion by adopting an intuitionistic fuzzy network analysis method to obtain corresponding attribute weights; Secondly, on the basis of the interval hesitant fuzzy thought, selecting an identification rate test result more reasonably,determining elements in an interval hesitant fuzzy initial decision matrix, and providing more accurate original data for a subsequent decision process; And finally, on the basis of the interval hesitant fuzzy thought, achieving evaluation of the radar radiation source signal recognition efficiency by using a cancellation and selection conversion method and combining an approximation ideal sorting method. The method can reasonably and effectively solve the problem of mutual independence of attributes, and can avoid low-efficiency assessment caused by doping of human factors and incapability of fully assessing all recognition schemes in a decision-making method.

The invention discloses a method for dynamic prediction of air-conditioning loads based on a multi-factor chaos support vector machine. For a cool storage air-conditioning system, a combined cooling heating and power supply air-conditioning system, a solar air-conditioning system and other complicated building energy systems, accurate short-term prediction is conducted on dynamic air-conditioning loads based on a support vector machine technology by conducting phase-space reconstruction on historical load sequences and considering the internal factors of the air-conditioning loads. According to the technical scheme, the method comprises the steps that firstly, a training sample set taking outdoor temperature, relative humidity, solar radiation intensity and other meteorological factors and chilled water temperature as principal elements is established; phase-space reconstruction parameters are optimized by adopting an artificial intelligence method, and phase-space reconstruction is conducted on load sequences after chaos characteristic identification; model related parameters of a load model of the multi-factor chaos support vector machine are found by adopting a grid search method; load model of the multi-factor chaos support vector machine is established, and prediction is performed. By adopting the method, the prediction accuracy of dynamic air-conditioning loads is improved.

The invention discloses an excavator work device measuring method based on a monocular camera. The method comprises the following steps of step1, designing an identification plate of pose measurement;step2, selecting an identification plate pasting position: pasting the identification plate on four articulation points of an excavator work device; step3, acquiring articulation point pixel coordinates and extracting a central point coordinate of the identification plate; and step4, carrying out coordinate conversion of the pixel coordinates and a world coordinate and acquiring the world coordinate of each articulation point so as to complete the pose measurement of the excavator work device.

The invention discloses an automatic parking starting area determination method based on collision situation analysis. According to the automatic parking starting area determination method based on the collision condition analysis, the starting areas of parallel parking and vertical parking are determined based on the collision condition analysis through the size of the vehicle, the dynamic constraint conditions of the vehicle, the target empty parking space and the surrounding environment of the parking space.

The invention discloses a power grid all-time multiple optimal scheduling method for improving the wind power acceptance capability, which belongs to the field of power system optimal scheduling. Themethod comprises the following steps: (1) an evaluation model of a power supply and a load of a power system towards the wind power acceptance capability is built, wherein the evaluation model comprises a heat supply unit, a pumped storage system, an energy storage device, an electric boiler, an intermittent load and the like; (2) according to the efficiency of each above part participating in wind power acceptance and the matching or conflicting relationship among the parts, a cooperative optimal scheduling scheme for the whole power grid is made to improve the wind power acceptance capability; and (3) due to influences of seasonal factors, characteristics of part of power supplies and part of loads are greatly different, the wind power acceptance capabilities in different time periods are also different, seasonal and environmental factor characteristics need to be considered, and an all-time power grid multiple optimal scheduling wind power acceptance method is built. Each sub systemin the power grid is comprehensively and cooperatively stimulated to accept the wind power, a specific optimal scheduling strategy is made for different seasonal factors, and the power grid efficiency is improved.

The invention discloses a relay system for improving indoor Internet of Things signal coverage. A scheduling module is used for judging the effective signal coverage capability of each relay equipment; when the corresponding relay equipment cannot provide the effective signal coverage range meeting the requirement due to the reasons of position change of the target object and the like, the corresponding relay equipment is controlled to move, whether the moving direction is beneficial to signal relay or not is judged; therefore, the corresponding relay equipment can improve the capability, range and quality of signal relay provided by the relay equipment, more indoor target objects can obtain better communication links, the overall effective coverage signal range of each relay equipment isexpanded, and the overall coverage of indoor Internet of Things signals is improved.

The invention relates to a locomotive network control system and in particular to a high-redundancy locomotive network control system to solve the poor reliable redundancy of an existing locomotive network control system. The high-redundancy locomotive network control system includes two VCUs and two or more RIOMs, wherein two VCUs are arranged on two back motherboards respectively; two power boards are integrated into each single back motherboard; and two power boards 1# and 2# are integrated into each RIOM. For the key digital quantity input signal of the locomotive, the key digital quantityinput signal of the locomotive and its redundant signal should be input into a digital quantity input board powered by the 1# power board and a digital quantity input board powered by the 2# power board of the RIOMs respectively. For the key output signal of the locomotive, the key output signal of the locomotive and its redundant command should be controlled by a digital quantity output board powered by the 1# power board and a digital quantity output board powered by the 2# power board.

The invention provides a node scheduling method and device, and relates to the technical field of resource scheduling. The method comprises the steps of obtaining multiple pieces of dimension data ofa node; obtaining a score corresponding to each dimension according to each dimension data; according to the importance level of each dimension, presetting a weight value of each dimension; carrying out weighted summation on the score corresponding to each dimension and the weight value to obtain the total score corresponding to the node, taking the node meeting the preset requirement as the target node for scheduling, so that the occupation condition of the node resources can be obtained in multiple dimensions, the selection of the target node is more reasonable, and the user experience is improved.

The invention discloses a novel micro-bubble generator for air-flotation treatment of water extracted from an oil field and an analysis method thereof. A body structure of the micro-bubble generator comprises a water inlet pipe, an upper cover plate, an outer wall cylinder, a lower cover plate, a core body, a spring supporting base, a compression spring and a locking nut. The center of the upper portion of the core body is provided with a reflection hole, and multiple arc-shaped distributing grooves forming a circumferential array are outward formed with the reflection hole as the center. The novel micro-bubble generator is simple in structure, is not easily blocked, can also effectively release a large number of micro-bubbles formed by dissolving associated gas in water extracted from the oil filed even under low dissolution saturability and further facilitates follow-up air-flotation purification treatment. In the analysis method, an internal flow field of the micro-bubble generator is simulated based on numerical simulation of computational fluid dynamics (CFD), the operating characteristics and the gas release effect of the novel micro-bubble generator are analyzed and predicted according to pressure drop, tubulence energy and parameters, and the technical advantages of the novel micro-bubble generator are verified through CFD numerical simulation and comparison with similar micro-bubble generators.

The invention discloses a dynamic condensation based finite element model correction method. The method includes steps: firstly, reasonably arranging sensors on a testing structure to measure dynamicresponse data of the structure; then, constructing an initial finite element model according to a structural construction drawing, and calculating dynamic response and dynamic response sensitivity ofthe finite element model on the basis of a dynamic condensation method; finally, constructing a target function according to residual errors of measured response and dynamic response obtained by dynamic condensation calculation, and taking the dynamic response sensitivity as a quick optimization direction to repeatedly adjust structural unit correction parameters to minimize the target function, so that structural finite element model correction is realized. The dynamic condensation based finite element model correction method is verified through a simply supported beam model. By the dynamic condensation method, the structural dynamic equation size can be sharply reduced, accuracy and efficiency of the finite element model correction method can be remarkably improved, and high practicalityis realized.

The invention relates to a superconducting fault current limiter-based flexible direct-current transmission system current-limiting electric reactor selection method, and belongs to the technical field of direct-current transmission. According to the method, when a direct-current side line fault occurs in a modularized multi-level flexible direct-current power transmission system, the current-limiting electric reactance of the direct-current line is calculated to be matched with the superconducting fault current limiter to inhibit the fault current so as to ensure that the fault removal can becompleted under the condition that a multi-level converter is not locked. According to the method disclosed by the invention, a calculation method for selecting the fixed impedance in a substituted mode is improved, and the resistance value of the superconducting fault current limiter is subjected to piecewise linearization fitting based on a least square method so as to optimize and solve. According to the method disclosed by the invention, the reasonable value-taking margin of the current-limiting electric reactor can be calculated under the influence of the dynamic resistance value of thesuperconducting fault current limiter, the system stability and the dynamic response capability can be effectively improved, and the method has guiding and reference meaning to the practical engineering in the future. According to the method disclosed by the invention, the cooperation between various primary equipment parameters is comprehensively considered, the primary equipment is more reasonably selected, the utilization efficiency of primary equipment is improved, the system investment cost is lowered, and the economical efficiency is improved.

The invention discloses a method and device for evaluating contact demand compactness among functional areas of a city. The method comprises the following steps: determining a data set divided by theurban areas; determining a functional area where the base station is located through a clustering algorithm according to the characteristics of the base station flow time sequence; clustering the basestations through the functional area data set of the base stations and the geographic position data set of the base stations to obtain a division result of each functional area of the city; and for the divided population immigration quantity and emigration quantity of each functional region and the distance between the regions, evaluating the contact demand compactness index between the functional regions based on a population activity Newtonian gravity model.

The invention discloses a back propagation (BP) neural network landslide forecasting method based on an optimized input layer. The BP neural network landslide forecasting method includes steps: (1) related parameters of landslide of the input layer are collected; (2) BP neural network training is performed; (3) whether requirements are met is judged, the known expected value is t, errors are calculated according to an error formula of an output node, sample training is completed if the requirements are met, otherwise Vij theta i is firstly adjusted and then Wij theta j is adjusted according to the error reducing principle, and the corrected value is used for training until the requirements are met; and (4) after sample training is completed, the initialized forecasting sample value is input, and the forecasting value can be obtained. The BP neural network is adopted so that the BP neural network landslide forecasting method is simple to operate, strong in learning ability and good in adaptability.

The invention discloses an electric power communication data clustering method based on an improved K-means algorithm. The electric power communication data clustering method comprises the steps of S101, performing normalization processing on electric power communication data; S102, manually selecting an initial classification number K of the normalized data, determining an element distance matrixaccording to the K value, and determining K initial clustering centers; S103, selecting an element, and determining a classification group corresponding to the element by calculating the distance between the element and each initial clustering center; S104, updating the clustering center of each classification group, and determining the actual clustering center of each classification group; S105,obtaining the classification of the power communication data until the classification group does not change any more; according to the method, on the basis of a traditional K-means clustering algorithm, the initial classification number K value can be dynamically adjusted and improved according to the clustering effect so as to improve the clustering effect; initial elements can be selected morereasonably according to the element distance matrix, so that the classification rationality is improved, and the practicability is extremely high.

The invention discloses a successive projection algorithm based near-infrared wavelength variable selecting method. The selecting method includes classifying a full spectrum into a relevant wave number point set, an irrelevant wave number point set and a noise wave number point set by means of a weighted value method, selecting a wave number point set from the relevant wave number point set and the irrelevant wave number point set, establishing a rectifying model, and judging importance of newly selected wavelength variables by means of rectangular projection. The successive projection algorithm based near-infrared wavelength variable selecting method overcomes the linear dependence, effectively reduces data dimensions, extracts interpretation information to the greatest extent, and ensures the established rectifying model to be with high stability.

The invention discloses a chemical stability evaluating method of a fluorapatite ceramic solidification body. The chemical stability evaluating method is characterized by comprising the steps that the fluorapatite ceramic solidification body with simulation time actinide nuclide is prepared; a hydrothermal reaction kettle with an outer shell made of stainless steel and a liner made of polytetrafluoroethylene is adopted as a leaching container; deionized water is adopted as a leaching agent, and the pH value is adjusted to 5-9; leaching is carried out at the temperature of 100 DEG C to 200 DEG C and the pressure of 0.101 MPa to 1.554 MPa, the conductivity of the leaching agent is tested, the concentration of ions in the leaching liquid is analyzed, the normalized leaching rate of the simulation time actinide nuclide is calculated, the phase changes before and after leaching of the solidification body are analyzed, and the chemical stability of the fluorapatite ceramic solidification body under the coupling action of heat, water, force and chemistry is evaluated. The method is simple and practical, high in operability, reasonable and visual in evaluation index, and accurate and reliable in evaluation result, and effective experiment bases and technical supports can be provided for evaluating the long-term stability and safety of the high-level waste solidification body in the deep geological disposal environment.

The invention relates to the field of automobiles, particularly to an automobile window for emergency evacuation. The automobile window is arranged on an automobile body and used for providing a crowd evacuation channel in an emergency rapidly. The automobile window comprises a split type window frame; the inner window frame and the outer window frame are of rectangular frame structures; the outer window frame is fixedly arranged on the automobile body; the inner window frame is flexibly arranged in the outer window frame; at least one vertical support is fixedly arranged in the middle of the inner window frame; glass is arranged between the inner window frame and the vertical support; rubber sealing strips are arranged around the inner window frame; a pushing part which is connected and arranged between the inner window frame and the outer window frame is a hydraulic oil cylinder; the hydraulic oil cylinder is connected with a vehicle-mounted hydraulic power station. The automobile window for the emergency evacuation has the advantages of being simple in structure, convenient to install, rapid to open, large in opening area and reusable, casing no harm to a human body and being capable of meeting the demands of different types of passenger cars.

The invention discloses a tumor puncture path obtaining method, a storage medium and electronic equipment. The method comprises the following steps of: acquiring body surface data, tumor data and tissue structure data; obtaining a tumor central point according to the tumor data; selecting a needle insertion area from the body surface data according to the tumor data; obtaining a plurality of puncture paths which are not intersected with a tissue structure corresponding to the tissue structure data according to the needle insertion area and the tumor central point; and selecting a target puncture path from the plurality of puncture paths as a tumor puncture path according to the tumor volume in the tumor data, a plurality of ice ball growth durations in the tumor cryoablation operation process in each puncture path, and the volume of an ice ball, the volume of a tumor ice ball covered by the ice ball and the volume of a non-tumor ice ball covered by the ice ball in a non-tumor area corresponding to each ice ball growth duration. Therefore, selection of the tumor puncture path is more reasonable, and the situation that in the prior art, selection of the tumor puncture path is not reasonable, and consequently the operation effect is affected is effectively avoided.

The invention relates to a temperature compensation-based system time delay error correction method. According to the temperature compensation-based system time delay error correction method, a temperature measuring point is set in a precise ranging product, and temperature telemetry is acquired; temperature-pseudo range measurement is performed on the product, so that a priori value can be obtained; an n-order polynomial regression model is established to perform fitting residual analysis; when residual precision is compressed or is smaller than a predetermined threshold value with the increase of the order, the order which appears at the compression point of the residual precision or when the residual precision is smaller than the predetermined threshold value is adopted as the order of the polynomial regression model; the time delay correction coefficient of the n-order polynomial regression model is estimated according to the minimum root-mean-square criterion; and time delay correction is carried out under the temperature of the precise ranging product according to the time delay correction coefficient and the temperature telemetry which is acquired in real time. According to the temperature compensation-based system time delay error correction method of the invention, temperature telemetry acquisition is additionally realized on the product, and is adopted as a correction input factor, and therefore, ranging system errors caused by temperature change of the precise ranging product can be effectively solved. The correction method is simple and reliable and only occupies a small quantity of resources on the whole.

The invention relates to a concrete slump inference method based on a mix proportion and raw material performance. According to the method, the accumulation gap condition of sandstone, the sandstone proportion, the mucilage flowing property, the mucilage filling gap degree, the additive water reducing property and the like are merged into a mathematical formula; the quantitative relation among thedosage proportion of concrete raw materials, performance indexes and the slump of a mixture is disclosed, and the method can be used for designing and examining the mix proportion of concrete and controlling the mixing production quality.