305results about How to "Comprehensive consideration" patented technology

The invention provides a traffic jam avoiding prompting system based on a collective intelligence network. The traffic jam avoiding prompting system consists of a webpage traffic hot spot digging module, a microblog traffic hot spot digging module, a road condition rule predicting module, a jam hot spot verification and management module, a real-time traffic hot spot server, a traveling route planning module based on hot spot avoiding, a traffic hot spot and avoiding route display module and intelligent mobile phone end application software. The traffic jam avoiding prompting system faces the collective intelligence sensing network, is combined with the traditional traffic information sources, carries out digging and prediction on the urban traffic hot spots on the basis of the data activation technology, and further provides the traffic jam hot spot display and avoiding prompt service for intelligent terminal users. The traffic jam avoiding prompting system has the advantages that the data is from the multi-source collective intelligence network, the accuracy is good, the checking comprehensive rate is high, the hot spots are captured and fed back in real time, high efficiency and practicability are realized, the design is good, the operation is stable, the installation is convenient, the traffic jam avoiding prompting system can become a tool capable of providing wide and practical intelligent traffic information for urban residents, and the efficient information prompt is provided for the users to realize the smooth traveling.

An optimal site selection device for a distributed wind power plant based on a fuzzy analytic hierarchy process comprises a DSP (Digital Signal Processor) module, a keyboard input module, a liquid crystal display module, a communication module and a host computer. An optimal site selection method for the distributed wind power plant based on the fuzzy analytic hierarchy process comprises the following steps: dividing candidate wind energy resource zones in a region rich in wind energy resources, determining an evaluation index system for the site selection of the wind power plant, determining the hierarchical structure of a scheme for the site selection of the wind power plant, judging the cognition degrees of experts on selected sites for the wind power plant by an expert group judgment and group decision method to obtain the cognition degree parameters of all the experts, and constituting a criterion layer judgment matrix and an index layer judgment matrix for the site selection of the wind power plant; and finally ranking the candidate wind energy resource zones by advantages and disadvantages and determining one site for the wind power plant. Compared with the traditional analytic hierarchy process for site selection, the method has the advantages that factors are fully considered, the examination and the regulation of the consistency of the judgment matrixes are simple, easy, scientific and reasonable, and results are scientifically analyzed. The device has the advantages that through the operation processing process of the DSP, the site selection period can be shortened, and the site selection efficiency can be increased.

The invention discloses a regional building energy consumption predicting method. The regional building energy consumption predicting method comprises the steps of: S1, acquiring an annual energy consumption data sample set of buildings as data for building energy consumption prediction; S2, calculating cooling and heating loads of individual buildings, respectively, according to form of terminal air conditioners and heating equipment of the buildings; S3, calculating the energy consumption of cold and heat source related energy-consuming equipment of the buildings according to the cooling and heating loads of the individual buildings; S4, calculating the energy consumption of illumination equipment of the individual buildings; S5, calculating the energy consumption of electric equipment of the individual buildings; S6, calculating the energy consumption of power equipment of the individual buildings; S7, accumulating the energy consumption obtained in the steps S3, S4, S5 and S6 to obtain the annual energy consumption of the individual buildings; and S8, calculating the total energy consumption of all buildings in the region according to the annual energy consumption of the individual building. The method disclosed by the invention breaks through the limitation that for single building energy consumption prediction, an energy station is taken as a node, establishes an energy consumption predication calculating model of a building group in the region, and can provide a reliable ground for overall planning and management of regional energy sources.

The invention relates to the field of gas field development research, in particular to a method for predicting dynamic open-flow capacity of fractured horizontal wells for tight sandstone gas reservoirs. The method includes coupling gas reservoirs, fracture and wellbores to obtain gas and liquid two-phase flow productivity equations for optional fracture locations of the fractured horizontal wells; building corresponding fractured horizontal well numerical models on the basis of reservoir stratum parameters and fracture parameters to obtain relation curves and fitting relational expressions of non-dimensional gas release boundaries and gas test time; computing gas release boundaries of the fractured horizontal wells at production phases by the aid of dynamic reserves inverse processes; solving the gas and liquid two-phase flow productivity equations on the basis of phase permeability curves obtained by rock core tests so as to obtain the dynamic open-flow capacity of the fractured horizontal wells at the different production phases. The method has the advantages that influence of difference of physical parameters of reservoir strata, change of the fracture parameters, difference of gas well open-flow test time, external fracturing fluid and movable water of formations on open-flow capacity is taken into consideration, accordingly, the open-flow capacity of the fractured horizontal wells at the different production phases can be predicted by the aid of the method, and the prediction practicality and reliability can be improved.

The invention relates to the field of power system stability research, in particular to a simulation collocation method for an oscillation disconnection device of a power system. The method comprises the steps: A. building a simulation data model; B. building a research failure set; C. performing simulation calculation of power grid stability after failure, obtaining out-of-step characteristics of a power grid, determining an oscillation center, and summarizing oscillation center moving laws; D. performing simulation calculation of acting characteristics of the oscillation disconnection device after the failure, and judging acting correctness of the oscillation disconnection device; E. putting forward a preliminary collocation scheme of the oscillation disconnection device; F. studying coordinating relations among stability control measures; and G. putting forward the final collocation scheme of the oscillation disconnection device by combination with the step C, the step D, the step E and the step F. The simulation collocation method has the advantages of being strong in maneuverability, comprehensive in considered factors and reasonable in scheme, and has high practical value and good market prospect.

The invention discloses a bus transfer identification method based on vehicle GPS and bus IC card data, sequentially comprising the steps as follows: carrying out data fusion based on vehicle GPS and bus IC card data; extracting passenger bus travel data; acquiring a shortest path matrix of bus stops; identifying the get-on stop and the get-off stop; judging a transfer behavior based on the card swiping time interval; identifying the transfer behavior based on the walking distance for transfer; identifying the transfer behavior based on a transfer time threshold; and identifying the transfer behavior based on bus arrival time matching. The method of the invention takes comprehensive factors into consideration, is convenient in calculation and actual operation, is high in practicability, can greatly improve the convenience in and accuracy of bus transfer identification, and has a broad application prospect.

The invention provides a comprehensive evaluation index system of a ship routing scheme and a combined evaluation method thereof. The comprehensive evaluation index system comprises a quantitative index and a qualitative index, wherein, the quantitative index comprises an efficiency index and the qualitative index comprises a safety index and a performance index. The combined evaluation method comprises the following steps: determining a qualitative evaluation index value by a group decision making method; determining a quantitative index value of the scheme by an entropy method and a fuzzy analytic hierarchy process (FAHP); and realizing ordering and optimization of the scheme based on a technique for order preference by similarity to ideal solution (TOPSIS). Compared with the traditional comprehensive evaluation index system of the ship routing scheme and the evaluation method thereof, the comprehensive evaluation index system and the evaluation method thereof of the invention increase analysis evaluation of the quantitative index, thus the index system is more complete; and by combination of quantitative evaluation and qualitative evaluation, expert knowledge is integrated into the decision-making process preferably, thus being more practical and more flexible.

The invention relates to an isolated grid operation stabilization control method based on a delivery manner of a regional weak tie power grid. The method is a dynamic simulation analyzing method based on tracks. According to a searching-verifying method and combining the voltage and frequency change tracks, the operating characteristics of the power grid under the condition of various delivery power are analyzed, the factors of the unit grid interfering protection of the regional power grid, the operating state change of the power grid, the over-speed protection of a generator unit, the high-week machine cutting measures of the regional power grid, linked machine cutting, low-frequency load decrease and the like are comprehensively considered, an isolated grid operation stabilization control strategy which is suitable for the delivery regional power grid for the requirements of the actual power grid is developed, and the second defense line and the third defense line of the regional power grid, and the over-speed protection allocation scheme of a generator are coordinated and optimized. Through the adoption of the stabilization control method, the isolated grid operation stabilization of the regional power grid can be ensured, the load loss can be reduced, the adaptability is better, the considered factors are more comprehensive, the certain practical value can be generated, and the promoted prospect is better.

The invention provides a neighboring area automatic optimization method and apparatus. The method includes the steps of determining a main serving cell and a list of candidate neighboring areas corresponding to the main serving cell; scoring every candidate cell on the list of the candidate neighboring areas according to candidate neighboring area switching data, candidate neighboring area measurement report data and/or candidate neighboring area cell spacing data; sorting the candidate cells on the list of the candidate neighboring areas according to the score of every candidate cell; selecting M candidate cells as neighboring areas corresponding to the main serving cell the from the list of the candidate neighboring areas according to sorting results, wherein M is the maximum number of needed neighboring areas of the main serving cell. The neighboring area automatic optimization method and apparatus takes the influence of the candidate neighboring area switching data, the candidate neighboring area measurement report data and/or the candidate neighboring area cell spacing data on neighboring area selection into comprehensive consideration, effectively improves the neighboring area optimization efficiency and accuracy and improves user perception.

The present invention provides a real estate evaluation method with multi-model integration, which includes the following steps: determining the real estate price influencing factor; constructing a real estate transaction case database according to the determined real estate price influencing factor; obtaining real estate transaction cases in relevant areas through the real estate to be evaluated; screening the real estate data to obtain comparable transaction cases; quantify the housing price impact factors and calculate the weights of housing price impact factors; use set pair analysis model, VIKOR model, fuzzy mathematical model, and neural network model to calculate relevant parameters respectively; correct the time of real estate transaction cases, and estimate Property prices to be appraised. The present invention adopts spatial information technology to establish a real estate database, and based on this, constructs a precise quantification method for real estate valuation factors and a batch evaluation mode for real estate prices fused with multiple mathematical models, which overcomes the subjective nature of price influencing factors in traditional single-model valuation methods The problem of uniqueness and the singleness of the valuation model.

The invention provides an optimal grouping configuration method of distributed generations and a microgrid. The method includes the steps of establishing a multi-objective optimization model based on distributed generation and microgrid hybrid integrated supply; solving the multi-objective optimization model by means of a non-dominated genetic algorithm to allow optimal grouping configuration of the distributed generations and the microgrid. The multi-objective optimization model makes full consideration on investment cost, supply reliability and running grid loss and also considers constraints such as microgrid power balance, storage capacity configuration ratio, permeability, node voltage, distributed generation output and group number, complete factors are considered, and the problems in connection positions and volumes of the distributed generations, loads and stored energies can be effectively solved.

The invention discloses a camera calibration method based on an improved distortion model. The method comprises the following steps: according to the transformation relationship between a world coordinate system and an image coordinate system, establishing a camera calibration model; according to orthogonal property of a matrix, obtaining a constraint equation of internal parameters of a camera; approximately calculating an initial value through a linear solution method, and then, calculating a homography matrix through a gradient method; according to the calculated constraint equation and the homography matrix, calculating camera model parameters; combining Zhengyou Zhang and Heikkila calibration models, changing solving order of the two ends of a distortion model equation according to radial distortion and tangential distortion, and calculating the initial value through a linear least square method; and carrying out optimization solution on the camera parameters through a Levenberg-Marquardt algorithm to obtain optimal camera parameters. The method realizes camera calibration and has the advantages of high calibration precision and easy implementation.

The invention discloses an electric vehicle remaining driving range estimation method and device, a storage medium and equipment, and belongs to the field of electric vehicles. The method comprises the following steps: acquiring the remaining available power of a battery in real time; acquiring unit mileage power consumption according to the road grade and congestion degree of a travel path and the driving style of a driver; and calculating the remaining driving range according to the remaining available power and unit mileage power consumption of the battery. The influence rule of the drivingstyle of the driver, the road grade of a planned travel and the real-time congestion degree of the road condition on the travel energy consumption is comprehensively analyzed, and the unit mileage power consumption in the driving process of the electric vehicle is quantitatively predicted. According to the invention, the remaining driving range estimation method fusing the pedestrian, vehicle androad information is adopted, and more comprehensive factors are considered, so that the remaining driving range of the electric vehicle can be calculated more accurately, and the mileage anxiety of auser can be relieved.

The invention discloses a road intersection queuing length calculation method, and the method comprises the steps: 1, building a road intersection queuing length model: Lq=(Q2-Q1)*LC, and calculating the road intersection queuing length through the road intersection queuing length model; 2, carrying out the correction of the road intersection queuing length model through formula (1), wherein the formula (1) meets the formulas: (2), (3) and (4); 3, carrying out the accumulated error correction of the road intersection queuing length obtained at step 1 through the following method: (a), zero value correction: adjusting the road intersection queuing length to be zero if there is no vehicle passing by a detector I and a detector II in a certain time period and there is no vehicle staying between the two detectors I and II; (b), full value correction: adjusting the road intersection queuing length to be (L2-L1) if there is no vehicle passing by the detector I and the detector II in a certain time period and there are more vehicles staying between the two detectors I and II. The method can calculate the road intersection queuing length in real time through iterative computation.

The invention relates to a grid-connected microgrid reliability evaluation method considering peak load shifting. The method includes the following steps that: the fuzzy membership degree of a peak period and a valley period is set according to the load curve of a power system; the fuzzy similarity matrix R and equivalence matrix R<^> of various time points of the load curve are determined, dynamic clustering is carried out through a lambda-cut relation, so that the division of the peak period and the valley period can be realized; adjustment is made according to the order of the power market and the actual electricity consumption demands of people, so that a corrected typical load peak period, normal period and valley period can be obtained; a load demand response model is established according to three constraint elements, namely, the total electricity consumption of loads, electricity price and customer' satisfaction, and an objective function described in the descriptions of the invention is provided, and a solution can be obtained through using a particle swarm algorithm, and a corrected load curve is determined; and the reliability of a corrected load curve-based grid-connected microgrid is determined through using a Monte Carlo simulation method. The method of the invention has the advantages of great universality and simple algorithm interface.

The invention relates to an experimental device and method for simulating single-crack flowback after shale gas fracturing. The experimental device is mainly composed of a pump set, a device body, a hydraulic pressure and temperature control device, and a tail monitoring and liquid waste disposal device. The device body mainly refers to an improved rock core clamp holder specially used for manufacturing a rock core, confining pressure is applied through the hydraulic pressure device, and the temperature control device heats hydraulic oil to form a high temperature for simulation of the stratum environment; in the experimental process, displacement meters on the upper side face and the lower side face of the rock core clamp holder can detect crack displacement change, and the sand production rate and the fluid flow speed can be monitored in real time through the tail monitoring device. By the adoption of the experimental device and method, the stratum high-temperature and high-pressure environment can be simulated, and on the premise that the flow conductivity of cracks of different crack lengths and crack widths is detected, the crack pressure drop, the sand production rate, the propping agent embedding degree and the propping agent backflow and settlement rule are detected; moreover, artificial marble rock cores are used, and the environment gets more close to the true stratum environment compared with the mode that steel blocks are used for simulating cracks.

The invention discloses a talent ability depicting method based on scientific research accomplishment data and belongs to the data mining field. The method comprises steps that paper ability of all the talents is acquired through calculation based on quality, the publication time, the author order and the reference information of papers published by the talents; based on acceptance states, the application time and the inventor ordering information of application patents, patent ability of all the patents is acquired through calculation; based on the class, the grade, project fund, the accomplishment time and the project personnel ordering information of accomplished projects, project ability of all the talents is acquired through calculation; based on achievements in recent years, the active degree of all the talents is acquired through calculation; based on projection and patent enforcement situations, the practice degree of all the talents is acquired through calculation; and normalization is carried out according to the calculation results of the five aspects, and radar map visual expression is further realized. The method is advantaged in that talent scientific research ability figure construction and visualization are realized according to the scientific research accomplishment database, and the general scientific research ability situations of the talents can be rapidly and visually mastered.

The invention provides a data storage method and apparatus used for a cloud storage environment, and relates to the technical field of cloud storage. The method comprises the steps of determining values corresponding to storage influence factors according to to-be-stored data, current storage nodes and a network environment when the to-be-stored data is received, wherein the storage influence factors include a data quantity of the to-be-stored data, transmission distances between the to-be-stored data and the storage nodes, fault rates of the storage nodes, residual spaces of the storage nodes, memory occupation rates of the storage nodes, and network bandwidths corresponding to the storage nodes or network delays corresponding to the storage nodes; and according to the values corresponding to the storage influence factors, determining the optimal storage nodes matched with the to-be-stored data, thereby correspondingly storing the to-be-stored data in the optimal storage nodes. The storage nodes can be reasonably matched for the to-be-stored data based on multi-factor consideration, so that a relatively good data storage scheme is provided.

The invention provides a simulation configuration method for constant-value parameters of frequency control devices in weak interconnection power grids. According to the characteristics that the frequency changes quickly and the amplitude is large after an isolated grid runs due to a reason that the weak interconnection power grids are serially faulted, acting characteristics of frequency control devices such as a primary frequency modulation control device of a steam turbine generator set, a primary frequency modulation control device of a water turbine generator set, a steam turbine overspeed protection control device, a high-frequency generator tripping safety automatic device, a low-frequency load shedding safety automatic device and a low-voltage load shedding safety automatic device are comprehensively considered from two aspects, i.e. isolated grid frequency decrease and increase. A scientific and reasonable simulation configuration method for the constant-value parameters of the frequency control devices in the weak interconnection power grids is made and has the advantages of high applicability, comprehensive considered factors, reasonable scheme and the like.

The present invention provides a checking method and system of a high-cycle cutting machine configuration scheme of a multi-DC feed asynchronous operation grid. According to the checking method, through using simulation model simulation, the condition of a grid system after a fault in a forecast fault set happens is calculated to obtain a simulation calculation result, the forecast fault set comprises a traditional grid external feed section breaking fault and also comprises the influence of a non-synchronous operation grid fault on a researched grid frequency, and the high-cycle cutting machine configuration scheme can be checked and corrected so as to obtain a scheme which satisfies a configured multi-DC feed asynchronous operation grid operation requirement. According to the checking method of the high-cycle cutting machine configuration scheme of the multi-DC feed asynchronous operation grid, the factor consideration is comprehensive, the operability is strong, the practical value is high, and the market prospect is good.

The invention relates to a bridge hanging basket construction risk assessment method based on a fuzzy analytic hierarchy process. The method comprises the steps that a bridge construction project hanging basket construction safety risk assessment index set is determined; according to expert evaluation opinions, a judgment matrix is obtained through comparison of every two factors, the maximum feature value and weight of the judgment matrix are calculated, and whether consistency of the judgment matrix passes or not is checked; a grade matrix of a single criterion layer is determined by using atrapezoidal membership function, and a primary fuzzy evaluation matrix is obtained via calculation; and finally, a step of comprehensively carrying out secondary fuzzy comprehensive evaluation on themain criterion layer is conducted to obtain a risk evaluation result. The safety condition of the bridge hanging basket construction system is evaluated through the fuzzy hierarchy method, and the method has the advantages of being simple in design, convenient to implement, comprehensive in consideration factor and the like; meanwhile, according to a construction site and a safety system of the construction site, uncertain influence factors causing bridge hanging basket construction accidents can be converted into a model capable of conducting quantitative calculation, and therefore scientific reference is provided for preventing and controlling the hanging basket construction accidents.

A crop virtual breeding method based on a plant function and structure model. The method combines a physiological and structural crop virtual growth model and quantitative genetic information, fulfills the aim of carrying out virtual breeding by simulating the growth and development process and the propagation process of crops and comprises the steps of: acquiring physiological data, morphological data, quantitative genetic data and growth environment data of the crops to construct an original data set; based on original data, constructing the crop function and structure model by a computer graphics method and a crop ecology principle; constructing a genetic module which comprises the quantitative genetic information and establishing association from the quantitative genetic information to related model parameters; adding simulation on genetic operations of crossing, recombination and the like in the hybridization process and implementing simulation on the propagation process of the crops; and implementing virtual breeding by selection and hybridization on individuals in the model. By providing the crop virtual breeding method based on the plant function and structure model, virtual breeding of the crops can be implemented by a computer technology so as to provide assistance and support for a conventional breeding progress.

The invention relates to a large-scale wind power-containing power transmission network planning system considering risks. The large-scale wind power-containing power transmission network planning system comprises a database module, an input module, an analysis module, a planning module and an output module, wherein the database module is used for storing wind speed data, load data and power equipment data; the input module is used for acquiring required data from the database module and the outside of the system; the analysis module is used for calculating an economic risk index, a technical risk index and investment cost of a planning scheme according to the input data and acquiring security constraint conditions of a power transmission network; the planning module is used for building a power transmission network planning model, determining the power transmission network planning model according to the economic risk index, the technical risk index, the investment cost and the security constraint conditions of the power transmission network, obtained by the analysis module, and acquiring the power transmission network planning result considering the economic risk and the technical risk; and the output module is used for outputting the power transmission network planning result. Compared with the prior art, the risks caused by wind farm output uncertainty can be lowered when the investment cost is controlled; and the large-scale wind power-containing power transmission network planning system has the advantages of high efficiency, comprehensive factor consideration and the like.

The invention relates to preparation technology of a metal film, and discloses a new simple and convenient preparation method of a copper film. The invention effectively controls the magnitude of residual stress generated in the preparation process, thereby implementing preparation of the low-residual-stress copper film material. The method is applied to a magnetron sputtering coating device, and adopts radio-frequency magnetron sputtering to prepare the copper film. The magnetron sputtering coating device is provided with a magnetron sputtering chamber, and a magnetron sputtering target is arranged in the magnetron sputtering chamber. The method comprises the following steps: a. pretreating a substrate; b. putting the pretreated substrate in the magnetron sputtering chamber; c. vacuumizing the magnetron sputtering chamber; d. introducing high-purity argon into the magnetron sputtering chamber; e. regulating the radio-frequency sputtering power and gas pressure, and sputtering the magnetron sputtering target to form the copper film on the substrate; and f. after cooling the magnetron sputtering chamber, taking out the copper film sample, and carrying out residual stress testing.

The invention discloses an on-line monitoring area inaccurate rate calculation method, equipment and a medium. The method comprises steps as follows: S1, acquiring time-point electric quantity data ofeach user meter under a master meter in an area online; S2, verifying whether acquired electric quantity data of the master meter in the area are 0, determining that the master meter is not used or the master meter fails if the electric quantity data of the master meter in the area are 0, and performing further calculation if the electric quantity data of the master meter in the area are not 0; S3, calculating error rates of each user meter, line loss rate of the area and fixed loss of the area according to a prototype flow conservation formula of a data application electric energy meter error rate model acquired online; and S4, calculating the error rate of the master meter by use of a correction model, and correcting the error rates of each user meter, the line loss rate of the area andthe fixed loss of the area. With the implementation of the method, for online monitoring calculation of the inaccurate rate of an intelligent electric meter, considering factors for calculation of the inaccurate rate are richer, output of result amount is increased, and the result is more reliable and accurate.