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 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 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 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 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 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.