44results about How to "Calculation results are objective" patented technology

An urban road traffic congestion index calculating method based on checkpoint data comprises steps as follows: step 1, acquiring the checkpoint data; step 2, cleaning the checkpoint data; step 3, building records of vehicle passage checkpoint pairs; step 4, automatically sampling the adjacent checkpoint pairs based on flow direction probability; step 5, calculating free travel time of the adjacent checkpoint pairs; step 6, building a weighting weight set q of road sections where the adjacent checkpoint pairs are located; step 7, acquiring the checkpoint data at regular time according to the statistical cycle; step 8, calculating traffic indexes in the statistical cycle. The urban road traffic congestion index calculating method based on the checkpoint data is better in accuracy, good in flexibility and higher in applicability.

The invention discloses an e-commerce website cheat user identification method and system based on a random forest algorithm. The system comprises an e-commerce website user data processing module, an e-commerce website user data storage module, an e-commerce website user data analysis module and a result display module, wherein the e-commerce website user data processing module, the e-commerce website user data storage module, the e-commerce website user data analysis module and the result display module are connected in sequence. The method includes the steps of data collection, data pre-processing, data conversion, data analysis, data display and the like. On the basis of the random forest algorithm in a machine learning method, static data and dynamic data of a user are collected, data mining and data analysis are carried out fast, and not only are completeness, continuousness and effectiveness of information of the user guaranteed, but also a good classification result is obtained.

The invention belongs to the technical field of map user spatial cognition ability analysis, and particularly relates to a multi-eye movement data-based map symbol user interest analysis method. The method comprises the following steps of: 1, designing an eye movement experiment to obtain eye movement data, and recording tested eye movement data by utilizing an eye tracker; 2, eye movement data preprocessing: screening eye movement types in an interest area, and only retaining three types of eye movement data with single meanings to serve as data basis; 3, establishment of a user interestingness formula: respectively calculating a time, a frequency and size user interestingness, and respectively calculating weights of the three types of data by utilizing an entropy weight method so as to realize the construction of the user interestingness calculation formula; and 4, user interestingness evaluation: carrying out statistic on evaluation scoring values, for a map symbol, of all the pieces of tested data by utilizing a user interview method, taking the evaluation scoring values as real values to carry out measurement, and calculating the correctness of a user interestingness calculation result through an average correctness formula so as to finally determine the reliability and accuracy of the user interestingness calculation formula.

The invention discloses an external safety control apparatus, method and system for flight of a multi-rotor unmanned plane. The external safety control apparatus for flight of a multi-rotor unmanned plane includes an external abnormal flight state determination module and an external alarm module. The external safety control method for flight of a multi-rotor unmanned plane includes the following steps: determining whether a multi-rotor unmanned plane is flying in an abnormal state in the current flight spatial domain; and if the multi-rotor unmanned plane is flying in an abnormal state, sending alarm information to enable a ground control staff to control a ground operation terminal after receiving the alarm information to send a motion control command to an airborne flight control subsystem of the multi-rotor unmanned plane, wherein the motion control command is used for indicating the multi-rotor unmanned plane to reduce the flight height. The external safety control system for flight of a multi-rotor unmanned plane includes the safety control apparatus, the ground operation terminal and the airborne flight control subsystem, and the safety control apparatus is the above mentioned external safety control apparatus. The external safety control apparatus for flight of a multi-rotor unmanned plane has the characteristics of being convenient to mount and being high in universality.

A method for determining long-term shear strength of a rock structural surface is provided. The method includes firstly preparing a rock structural surface sample; subjecting the sample to a shear creep indoor test to obtain a shear creep curve of the sample; determining a long-term shear strength range of the rock structural surface through a shear creep indoor test; building a shear creep modelof the sample according to the shear creep curve of the sample so as to obtain model parameters; building a numerical model of the sample according to the dimension of the sample and characteristics of the structural surface; and equally dividing the obtained long-term shear strength range into a plurality of parts as values of horizontal shear stress applied in a numerical test, and subjecting the sample to a shear creep numerical test to obtain an accurate value of the long-term shear strength of the rock structural surface. The range of the long-term shear strength of the rock structural surface is determined according to an indoor test result firstly, and the long-term shear strength of the rock structural surface is accurately obtained based on a numerical test result.

The invention discloses a method for calculating the recovery capability of a power grid after blackout. The method comprises the following steps: (1), identifying the specific state of a system after power failure, and obtaining data for calculating; (2), screening out available black-start machine sets in the system, and calculating the sum of capacities of all the black-start machine sets and the corresponding per-unit value; (3), calculating the average shortest distance from various machine sets to be recovered to the black-start machine sets and the average shortest distance from load nodes to various machine set nodes in the system, and calculating the average distance between the two; and (4), taking the per-unit value of the sum of the capacities of the black-start machine sets and the quotient of the average distance in the step (3) as the recovery capability of the power grid after blackout. The method disclosed by the invention has the benefits that: a quantitative means is provided for evaluating and analyzing the recovery capability of the power after blackout; the weak point of the power grid in the aspect of increasing the recovery capability is convenient to search; and the corresponding improved means is provided.

The invention provides a method for early warning monitoring and analysis of enterprise complaints based on an artificial intelligence consumer right protection index, including the following steps: 1) using a data acquisition module to obtain the work order contents of the 12345 hotline; 2) establishing a classification module for the step 1), performing classification via an embedded classification module according to keywords through the work order contents acquired by the data acquisition module in the step 1) to obtain secondary indicators, and performing grouping and classification for important levels; 3) establishing the scoring rate for calculating the secondary indicators by an expert scoring module; 4) constructing an SVM classifier; 5) building a training classification model;6) building a classification carding module to perform service classification sorting on work order data; and 7) constructing a monitoring module for early warning monitoring and analysis of enterprise complaints combined with index and service data.

The invention discloses a rail traffic congestion degree calculation method and system. The method comprises the steps of calculating entry and / or leaving durations and transfer durations of passengers in a set line through passenger entry and leaving information in the set line of rail traffic and running information of a rail traffic tool in the set line; based on the passenger entry and leavinginformation, the entry and / or leaving durations, the transfer durations and the running information, calculating passenger capacity of the rail traffic in the set line; and obtaining a total seat number and rated total passenger capacity on the rail traffic tool, and based on the passenger capacity, the total seat number and the rated total passenger capacity, calculating a congestion degree of the rail traffic tool in the set line. According to the method and the system, the congestion degree of the rail traffic is calculated by considering the carrying capacity of the line based on data statistical analysis, so that a calculation result is more objective and accurate.

The invention provides a decision table data reduction method. The method comprises the following steps: step one, judging whether the last condition attribute in a decision table data set is a decision table core attribute, adding the data of the attribute in a reduction set R if the last condition attribute is the decision table core attribute, and executing the step 2; deleting the last line of condition attribute data if the last condition attribute is not the decision table core attribute, and re-executing the step one; and step two, placing the line data corresponding to the decision table core attribute in the first line, and outputting the reduction set R after determining that an end condition is met, or else returning to step one. The method provided by the invention has the advantage of simply and effectively performing reduction on the decision table data.

The invention discloses a method for measuring the spatial relationship of a geology element and an ore deposit on the basis of a fractal method. The method comprises the following steps: (1) carrying out buffer zone analysis on the geology element; (2) carrying out statistics on an ore deposit number contained in each buffer zone; (3) calculating a specific value of an accumulated ore deposit number and the width of the buffer zone to obtain ore deposit space distribution density; (4) plotting on a bilogarithmic graph: setting an X shaft as the width of the buffer zone and an Y shaft as the ore deposit space distribution density, utilizing a least square method to fit a data point to obtain the slope of a straight line, and subtracting 2 from the slope of the straight line to obtain the singular index of ore deposit distribution; and (5) comparing the singular index of the ore deposit distribution, and judging the significance of the geology element. The method is suitable for the spatial relationship of the geology element and a geological resource event and also can be used for measuring the spatial relationship of the geology element and a geological disaster event.

The invention discloses an embedded discrete fracture simulation method and system considering nonlinear flow. The method comprises the steps: establishing a three-dimensional geologic model and an artificial fracture model of a tight oil reservoir; obtaining a continuity equation of a solution domain according to the mass conservation equation and a nonlinear seepage formula; discretizing the continuity equation, and establishing a single-phase seepage model and a numerical simulation model of the matrix-fracture system; introducing an embedded discrete fracture model to carry out spatial discretization on the three-dimensional geologic model and the artificial fracture model, deriving a numerical simulation model added with non-adjacent links, and establishing a nonlinear equation system; solving the nonlinear equation system by using a Newton iteration method; and predicting the yield of the multi-stage fractured horizontal well under different complex fracture conditions accordingto the solving result of the nonlinear equation system. The problems that an existing commercial numerical simulation method cannot accurately represent complex cracks and considers nonlinear flow ofa matrix are solved, and the calculation precision and the calculation efficiency are improved.

The invention discloses a tailing pond dam slope anti-sliding stability analysis method based on a Sweden slice method, and the method comprises the following steps: geological exploration of a tailing pond dam slope site: determining a tailing dam range according to the site geological exploration; determining physical and mechanical parameters of a dam body, a tailing accumulation body and a dam foundation rock soil layer soil body in the initial stage of the tailing pond through a rock and soil test; monitoring the seepage line of the dam slope of the tailing pond in real time; calculating the anti-sliding stability coefficient of the tailing pond dam slope; and carrying out the real-time early warning of tailing pond dam breakage. Through geological exploration of the tailing dam, physical and mechanical parameters of an initial dam body of the tailing pond, a tailing accumulation body and a dam bed rock soil layer soil body are combined with real-time dam body infiltration line monitoring data, and on the basis of a Sweden slice method theory and a landslide stability analysis method theory, a direct index of the anti-sliding stability coefficient of the dam slope of the tailing pond is further calculated to realize forecasting and early warning of the tailing pond.

The invention relates to a rock engineering technology, and aims to provide a rock structure surface roughness coefficient refined representation method. The method comprises the steps of obtaining morphology data of a rock structural surface; preprocessing the three-dimensional point cloud data; performing grid thinning processing on the point cloud data; performing regular sorting operation on the coordinate data; calculating JRC values of all structural plane contour lines in the point cloud data; and drawing a JRC numerical value frequency distribution histogram. According to the method, the three-dimensional point cloud data reflecting the topographic characteristics of the whole rock structural surface are obtained through the three-dimensional scanning technology, and the obtained JRC calculation result is more comprehensive, objective and accurate. The method can obtain the law of the mean value, the variance, the variation coefficient and the anisotropy of the JRC data, and provides technical support for comprehensively and accurately evaluating the JRC value and the shear strength of the rock structural plane. Accurate and rapid batch calculation can be realized by combining programming, and the method can be widely applied to rock structure surface roughness and shear strength parameter evaluation involved in various rock engineering projects.

The business environment is the sum of the circumstances and conditions that accompany the entire process of business activity. The quality of regional business environment has a direct impact on thequantity, quality, efficiency of local investment, but also directly affect the regional business enterprises, and ultimately on the economic development, fiscal revenue, social employment and other important impact. The invention provides a business environment analysis and evaluation system and method. The data used in the business environment analysis and assessment method are directly obtainedthrough the government affairs network and the Internet, Instead of extracting the relevant data collected by the sample investigation, the influence of the sample selection deviation, the sample preference and the sample understanding ability on the evaluation result can be effectively avoided, and the business environment index calculated by the method provided by the invention is used for analysis, so that the evaluation result can be more objective.

The invention relates to the technical field of fire-fighting safety big data analysis platforms, especially a building fire-fighting safety index calculating method based on a big data classificationalgorithm. The method comprises the steps: 1, carrying out the data marking and grouping; 2, constructing an SVM classifier; 3, training a classifying model; 4, applying a model prediction result. The beneficial effects of the invention are that the method combines with a latest data mining theory implementation method, employs an SVM for constructing a standard safety index calculation model, takes the historical data as a model construction basis in advance, and can achieve a quick, scientific, standard and objective calculation result under the support of the modern computer calculation speed.

The invention discloses an energy-saving expense metering method and system applied to a central air-conditioning system. The system comprises an integrated energy meter, a multi-rate electric energy meter, a controller and a computer. The integrated energy meter is used for metering total energy storage amount (X1) of the central air-conditioning system in an energy storage working condition and energy supply amount of all divided time periods in a non-energy-storage working condition. The multi-rate electric energy meter is used for metering total energy storage amount (X2) of the central air-conditioning system, total electricity consumption (W1) and total electricity consumption expense (M1) of all pieces of electric equipment in the energy storage working condition and total electricity consumption (W2) and total electricity consumption expense (M2) of all the pieces of electric equipment in the non-energy-storage working condition. The controller is used for collecting metering data of the integrated energy meter and the multi-rate electric energy meter, using a built-in energy-saving expense calculating scheme for calculating energy-saving expense (S) generated when the central air-conditioning system operates in the energy storage working condition and outputting the energy-saving expense (S) to a display screen of the computer to display the energy-saving expense (S).

The invention discloses an information processing method applied to a service continuity management platform. The method can display a model management interface and an index management interface, can determine a corresponding target model and a target index based on the operation of a target object on display information, then determines target information based on the selected target model and the target index, and calculates the target information by using the association relationship between the calculation mode and the index in the model to obtain a target report. Based on editability of the model, the index and the calculation mode and automatic analysis of the information, the processing flow of the service continuity management platform is simplified, the processing process is more efficient, and based on analysis of a calculation formula and an artificial intelligence algorithm, a calculation result is more objective, and the accuracy of the calculation result is improved.

The invention relates to a method for designing the converter transformer short-circuit impedance of an extra-high voltage DC project, which is characterized by comprising the steps of 1) determining system parameters and main circuit calculation parameters of the extra-high voltage DC project; 2) carrying out main circuit calculation on the extra-high voltage DC project according to the acquired system parameters and the main circuit calculation parameters of the extra-high voltage DC project and an assumed value of the converter transformer short-circuit impedance, determining boundary conditions and obtaining an initial recommended value of the converter transformer short-circuit impedance; 3) analyzing factors influencing selection of the converter transformer short-circuit impedance, and checking the initial recommended value of the converter transformer short-circuit impedance to obtain alternative sets of the converter transformer short-circuit impedance under various influencing factors; and 4) selecting an intersection of the alternative sets of the converter transformer short-circuit impedance according to the obtained alternative sets of the converter transformer short-circuit impedance under various influencing factors so as to obtain an optimized converter transformer short-circuit impedance value. The method can be widely applied to the technical field of extra-high voltage direct current transmission.

The invention discloses a parallel quantum annealing target point distribution calculation method which comprises the steps of establishing a tumor target area and damaged organ data model through CT or MR data image analysis and doctor diagnosis; then, performing quick calculation of key point dosage distribution through a Gamma ray three-dimensional orientation rotating focusing radiotherapy machine beam characteristic, comparing the key point dosage distribution with a clinically required radiotherapy target, defining a target function according to a prescription dosage of the target area and the tolerable dosage of the damaged organ, setting a choice rule according to a simulated annealing algorithm, and performing new calculation comparison, and finally obtaining an anticipated result; and finally, performing accurate calculation on dosage distribution according to the parameter which corresponds with the calculated anticipated result, and obtaining final dosage distribution in the irradiation area. According to the parallel quantum annealing target point distribution calculation method, automatic machine calculation is utilized in a calculation process, thereby reducing subjective factors such as physicist experience, realizing no requirement for calculation process intervention by a plan designer, and realizing relatively objective calculation result. Furthermore, reversed plan designing realizes advantages of reducing subjective factors such as physicist experience, increasing plan designing speed, improving economic benefit and social benefit of radiotherapy, and realizing better satisfaction for a clinical requirement.

The invention provides a social unit security index calculation method and device. The method comprises the following steps: receiving a metadata description value of each piece of metadata in a security informatization metadatabase uploaded by a social unit corresponding to each security check item, wherein the security informatization metadatabase is generated according to three security attributes of a person, an event and an object and comprises at least two pieces of metadata, and the at least two pieces of metadata correspond to at least two risk points involved in security check items of at least two social units; receiving an inspection work order sent by the social unit corresponding to each security check item in the current check period; determining a score value of each security check item in the current check period by utilizing the check work order corresponding to each security check item and the metadata description value of each piece of metadata in the security informatization metadatabase; and calculating the security index of the social unit in the current check period according to the score value of each security check item of the social unit. According to thescheme, the score of the security index of the social unit can be calculated, and the security degree of the social unit can be reflected more objectively and accurately.

The invention relates to the technical field of vehicle engineering, in particular to a vehicle actual measurement load spectrum-based road surface information acquisition method, which comprises the following steps of: acquiring an actual measurement load spectrum of a test run on a road surface to be measured; calculating a corresponding vehicle response signal according to the actually measured load spectrum of the test run; and inputting the vehicle response signal corresponding to the actually measured load spectrum into a pre-trained road surface reverse model, and calculating the road surface unevenness of the road surface to be measured through the road surface reverse model as the collected road surface information of the road surface to be measured. According to the road surface information acquisition method based on the vehicle actual measurement load spectrum, the measurement cost and the calculation amount can be reduced, and an objective road surface unevenness calculation result can be provided, so that the road surface unevenness acquisition effect can be improved.

The invention provides a reservoir porosity prediction method and device. The method comprises the steps of obtaining the reservoir porosity and reservoir thickness of a plurality of single wells at a target interval, and the seismic inversion longitudinal wave impedance data of the target interval, determining longitudinal wave impedance values of the multiple single wells in the target interval, determining the reservoir porosity thickness product of each single well in the target interval, fitting to obtain a first relation between the reservoir porosity thickness product of the target interval and the longitudinal wave impedance of the target interval, determining a second relationship among the reservoir porosity of the target interval, the reservoir thickness of the target interval and the longitudinal wave impedance of the target interval, determining reservoir thickness distribution plane data of the target interval, and determining reservoir porosity distribution plane data of the target interval. According to the method, prediction of reservoir porosity distribution plane data is achieved, the advantages of seismic data transverse prediction are effectively utilized from logging data, the process is simple, the calculation process has a scientific basis, the calculation speed is high, and the calculation result is objective and real.

The invention discloses a method for measuring the spatial relationship of a geology element and an ore deposit on the basis of a fractal method. The method comprises the following steps: (1) carrying out buffer zone analysis on the geology element; (2) carrying out statistics on an ore deposit number contained in each buffer zone; (3) calculating a specific value of an accumulated ore deposit number and the width of the buffer zone to obtain ore deposit space distribution density; (4) plotting on a bilogarithmic graph: setting an X shaft as the width of the buffer zone and an Y shaft as the ore deposit space distribution density, utilizing a least square method to fit a data point to obtain the slope of a straight line, and subtracting 2 from the slope of the straight line to obtain the singular index of ore deposit distribution; and (5) comparing the singular index of the ore deposit distribution, and judging the significance of the geology element. The method is suitable for the spatial relationship of the geology element and a geological resource event and also can be used for measuring the spatial relationship of the geology element and a geological disaster event.

The invention discloses an evaluation method for robustness for a natural gas pipeline valve, pertaining to the field of reliability tests and data analyses of mechanical equipment. The evaluation method for robustness for the natural gas pipeline valve has the following steps: (1) obtaining environmental factors affecting fault frequency of the natural gas pipeline valve and the change range corresponding to the environmental factors based on operation data of the natural gas pipeline valve; (2) normalizing values of different environmental factors based on the change range corresponding to the environmental factors to obtain the normalized data range of different environmental factors; (3) testing values of different environmental factors based on the normalized data range of environmental factors and obtaining robustness of the natural gas pipeline valve under the effect of single environment factor; (4) obtaining weight of the different environmental factors in robustness for the natural gas pipeline valve; (5) obtaining robustness for the natural gas pipeline valve through robustness for the natural gas pipeline valve and weight of different environmental factors based on effect of the different environmental factors.

The invention belongs to the technical field of spatial cognitive ability analysis of map users, and in particular relates to a method for analyzing user interests of map symbols based on multiple eye movement data. The method includes the following steps: the first step is to design an eye movement experiment to obtain eye movement data, The eye tracker recorded the eye movement data of the subjects. The second step is eye movement data preprocessing, screening the types of eye movement data in the area of ​​interest, and only retaining three types of eye movement data with a single meaning as the data basis. The third step is to establish the user interest degree formula, calculate the time, frequency and size user interest degree respectively, and use the entropy weight method to calculate the weight of the three types of data respectively, and realize the construction of the user interest degree calculation formula. The fourth step is to evaluate the degree of user interest. Use the user interview method to count the evaluation scores of all the subjects on the map symbols, and use this as the true value to measure. Calculate the accuracy of the calculation results of the user interest degree through the average correct rate formula, and finally determine the accuracy of the user interest degree. The reliability and accuracy of the interest degree calculation formula.

The invention provides a method and a system for constructing and predicting a service life prediction model of a key component of a wheel set. The method comprises the following steps: determining input parameters of the model as environment temperature, driving speed and driving mileage, and determining an output parameter as wheel diameter residual abrasion loss; the current environment temperature, the running speed and the running mileage of the wheel set are obtained in real time, and turning repair data of the wheel set are obtained to serve as sample data; preprocessing the sample data; model construction is carried out on the preprocessed sample data, and finally the model with the highest verification sample accuracy rate is selected as the optimal prediction model of the current wheel set. And the wheel residual life is estimated and predicted by combining the wheel geometric part abrasion data and the development trend with the mileage, and the prediction precision is high.

An urban road traffic congestion index calculating method based on checkpoint data comprises steps as follows: step 1, acquiring the checkpoint data; step 2, cleaning the checkpoint data; step 3, building records of vehicle passage checkpoint pairs; step 4, automatically sampling the adjacent checkpoint pairs based on flow direction probability; step 5, calculating free travel time of the adjacent checkpoint pairs; step 6, building a weighting weight set q of road sections where the adjacent checkpoint pairs are located; step 7, acquiring the checkpoint data at regular time according to the statistical cycle; step 8, calculating traffic indexes in the statistical cycle. The urban road traffic congestion index calculating method based on the checkpoint data is better in accuracy, good in flexibility and higher in applicability.

The invention discloses an intelligent matching system based on big data and a matching method thereof. The intelligent matching system comprises an evaluation unit, an information analysis unit, an index measurement and calculation unit and an information interaction matching unit, the evaluation unit comprises a personal evaluation data system and a company evaluation data system, and is used for issuing evaluation tables online and storing the evaluation tables in memories corresponding to individuals / companies; the information analysis unit comprises a big data analysis module and is usedfor calling individual / company information in memories and analyzing personal job hunting intention and company recruitment requirements according to evaluation tables filled in by individuals / companies; the index measurement and calculation unit is used for making individual competitiveness index calculation according to the personal evaluation data tables and making company competitiveness calculation according to company evaluation data tables the information interaction matching unit comprises an information interaction module and an information matching module.

A method for detecting bad pasting of a logo, an electronic device, and a computer-readable storage medium, the method for detecting bad pasting of a logo includes: obtaining a pasted image of a logo through a photoelectric device, wherein the pasted image of a logo is a pasted object printed with a logo Paste the image obtained by the photoelectric equipment on the product; calculate or analyze the pasted image of the logo obtained by the photoelectric device; if the result of the calculation or analysis determines that the pasted image of the logo is abnormal, it is determined that the logo pasting is not good. The solution provided by this application can greatly increase the detection rate of bad logo pasting and reduce the missed detection rate of bad logo pasting, and also improve the detection efficiency.

The present invention discloses a luminance value interpolation calculation method within a hemispherical space. The method comprises the following steps: reading an IES luminance file, reading a luminance value in the luminance file, and establishing a hemispherical spatial matrix by using a horizontal rotation angle of a light source as a horizontal angular coordinate and using a vertical rotation angle gamma of the light source as a vertical angular coordinate; acquiring a quasi-interpolation point, and determining a position of the quasi-interpolation point in the hemispherical spatial matrix; and if the quasi-interpolation point is in an intermediate region of the hemispherical spatial matrix, calculating a luminance value through interpolation by using a quadratic curve method, and if the quasi-interpolation point is in a boundary region of the hemispherical spatial matrix, calculating the luminance value through linear interpolation. The method provided by the present invention is capable of providing an algorithm for calculating the luminance value on any surface and any point at 0-360 DEG within the hemispherical space, and is further capable of achieving simple, convenient and efficient calculation effects at relatively low costs with sufficient precision being provided, thereby facilitating real-time calculation on thin clients such as mobile phones and tablets.