47results about How to "In line with objective reality" patented technology

The invention provides a water breakthrough risk evaluation method and evaluation device for a water-carrying gas reservoir gas well. The method includes the following steps that an evaluation factor which influences a water breakthrough risk of the water-carrying gas reservoir gas well is built; the weight vector of the evaluation factor is obtained on the basis of the analytic hierarchy process; a fuzzy relation matrix between the water breakthrough risk of the water-carrying gas reservoir gas well and the evaluation factor is built; the fuzzy relation matrix and the weight vector are combined according to a weighted average fuzzy composition operator, and a comprehensive evaluation result of the water breakthrough risk of the water-carrying gas reservoir gas well is obtained. The water breakthrough risk evaluation method and evaluation device improve accuracy of the evaluation result of the water breakthrough risk of the gas well, and the evaluation result which more accords with actual water breakthrough risk situations of the water-carrying gas reservoir gas well can be obtained.

The invention discloses a machine tool cross beam optimal design assessment method adopting combination weighing-grey correlation. The machine tool cross beam optimal design assessment method comprises the following steps that three-dimensional modeling is conducted on original cross beams, and static and dynamic characteristics of the original cross beams are analyzed to determine optimized factors and assessment indexes of the cross beams; cross beams of multiple structural schemes are designed, and several optimal schemes are preliminarily screened by analyzing and comparing static parameters of the cross beams; for the preliminarily screened schemes, cross beam rib plate structures, rib plate thickness and guide rail supporting rib plate inclination angles on the cross beams serve as test factors, the levels of the factors are determined, and an orthogonal test table is selected to conduct a simulation test on parameter combinations; simulation data is analyzed and processed by adopting a grey correlation method and a combination weighing method to obtain an optimal scheme; properties of the cross beams before and after optimization are compared to determine the reasonability of the optimal design parameter combinations. The machine tool cross beam optimal design assessment method makes a final analysis result real and reliable and accord with objective reality.

The personalized identification method and robot system based on big data and deep learning, including: obtaining personalized identification standards, obtaining data on objects to be identified, obtaining data corresponding to the individualized identification standards from the data of the objects, and judging Whether the data corresponding to the individualized identification standard meets the individualized identification standard. The above method and system improve the degree of personalization of the identification of preset categories through the personalized identification technology based on big data and deep learning, and can meet the identification needs of different types of objects.

A user location prediction system based on a wireless network, including a mobile data acquisition module, a mobile data cleaning module, a user history movement record module, and a hybrid location prediction module. Prediction sub-module, jump prediction sub-module, collaborative filtering prediction sub-module and prediction result sub-module, the prediction result sub-module predicts the sub-module based on the stay hypothesis, historical prediction sub-module based on period division, jump prediction sub-module and collaborative filtering prediction The prediction result of the sub-module completes the user location prediction. The invention also provides a user position prediction method based on the wireless network. The system and method of the present invention have the advantages of providing real-time position prediction within 24 hours and high accuracy of prediction results.

The invention discloses a method and system for evaluating the performance of foundation pit pile anchor support with extended service, which determines the rheological characteristics of the soil on the project site and the reinforced concrete strength of the support structure according to the triaxial test of the rock and soil mass and the construction project Reduction and loss of anchor cable prestress; according to the rheological characteristics of the engineering site soil, the strength reduction of reinforced concrete of the support structure and the loss of anchor cable prestress, determine the expression of earth pressure and anchor cable prestress over time Combined with the basic assumptions of the foundation pit pile-anchor support model, the deformation coordination relationship between the pile body and the anchor rod is determined; at the same time, the rheological characteristics of the soil and the prestress loss of the anchor cable are considered, and combined with the basic theory of elastic foundation beams, the deduced Evaluation value of anchor support performance of overdue foundation pit piles considering aging. The invention can comprehensively, objectively and accurately evaluate the performance of the temporary foundation pit support structure, and provide a basis for the safe construction of the temporary foundation pit project.

The invention relates to a method for detecting the change of earth's surface, based on remote sensing image processing, which comprises following steps: 1, cutting the standard image and the detected image, to attain cut result image, while each cut section of result image has a section gray characteristic value and section area characteristic value; 2, point-to-point processing following judgments according to said section gray scale and section area change amplitude: if the section gray scale changes, but the section area not, said change is a false change; or else if the section area changes, but the section gray scale not, it is a false change; if the gray scale and the area both change, using the moment with small change as the measure valve of earth' surface change. With said invention, user can attain accurate detect result on the change of earth' surface by the remote sensing image.

The invention discloses a W-shaped rutting bump height measuring device and a W-shaped rutting testing system. The structure of the W-shaped rutting bump height measuring device is that: two fixing brackets are arranged on a test mould and are both provided with a vertical sliding rod; the horizontal sliders for conducting the W-shaped rutting bump displacement are arranged on the sliding rods; the W-shaped rutting bump height measuring device further comprises a horizontal connection rod with a fixed height; the connection rod is provided with a displacement sensor for sensing the displacement change of the sliders; and the connection rod and the displacement sensor are both arranged above the sliders. The W-shaped rutting bump height measuring device and the W-shaped rutting testing system can measure the bump depth of W-shaped ruttings to reflect the actual pavement conditions more really, and the accuracy of rutting tests is further improved on the basis.

The invention discloses a method for evaluating damage to the fishery from marine oil spill through employing structural equation fuzzy integrated assessment, and belongs to the field of environment protection. The method comprises the steps: firstly extracting factors which determines the degree of damage to the fishery resources from the marine oil spill pollution, analyzing the relation between the fishery resource damage degree and the factors, and building an index system for evaluation of the damage to the fishery resources from the marine oil spill pollution; secondly constructing a structural equation model, determining key factors determining the damage degree, the weight of the damage degree and key factors and the weight of each key factor and the corresponding index; finally carrying out the fuzzy integrated evaluation and analysis of the degree of damage to the fishery resources from the marine oil spill pollution through combining with the weights. According to the invention, the structural equation model is introduced in the fuzzy integrated evaluation, thereby solving an indeterminacy problem of the damage degree of the fishery resources, and the accurate mutual relation among the factors enables the evaluation result to be scientific and reasonable and to accord with the reality.

A Personalized auditing method and robot system based on big data and deep learning, comprising obtaining personalized audit standard, obtaining data of object to be audited, obtaining data corresponding to the personalized audit standard from the data of the object, and judging whether the data corresponding to the personalized audit standard conforms to the personalized audit standard. The method and the system improve the personalization degree of the preset category audit through the personalized audit technology based on the big data and the depth learning, and can meet the audit requirements of different types of objects.