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

The invention relates to a user position predicating system based on a wireless network. The user position predicating system comprises a mobile data obtaining module, a mobile data cleaning module, a user history mobile record module and a mixed position predicating module, wherein the mixed position predicating module is provided with a stop assumption predicating sub module, a history predicating sub module, a jump predicating sub module, a collaborative filtering predicating sub module and a predicating result sub module, the history predicating sub module is based on time period division, and the predicating result sub module completes the user position predication according to predicating results of the stop assumption predicating sub module, the history predicating sub module based on time period division, the jump predicating sub module and the collaborative filtering predicating sub module. The invention also provides a user position predicating method based on the wireless network. The system and the method provided by the invention have the advantages that the real-time position predication in 24 hours is provided, and in addition, the predication result accuracy is high.

Disclosed is a wireless-network-based user position predicting system. The wireless-network-based user position predicting system comprises a movement data obtaining module, a movement data cleaning module, a user history movement recording module and a mixed position predicting module. The mixed position predicting module is provided with a staying assumption predicting submodule, a history predicting submodule based on time division, a skip predicting submodule, a collaborative filtering predicting submodule and a prediction result submodule wherein the prediction result submodule completes user position prediction according to the prediction results of the staying assumption predicting submodule, the history predicting submodule based on time division, the skip predicting submodule and the collaborative filtering predicting submodule. The invention also discloses a wireless-network-based user position predicting method. The wireless-network-based user position predicting system and the wireless-network-based user position predicting system have the advantages of providing 24-hour real-time position prediction and being highly accurate in predicting results.

The invention discloses a coal seam floor water-inrush risk evaluation method, which comprises the steps of: (1) determining main controlling factors of coal seam floor water inrush; (2) carrying out data acquisition and standard processing, and establishing thematic maps of the main controlling factors of the coal seam floor water inrush; (3) determining ''weights'' of the main controlling factors for controlling the seam floor water inrush by adopting a grey correlation and FDAHP index weighting method; (4) establishing a coal seam floor water-inrush risk index model, and calculating a coal seam floor water-inrush risk index; (5) verifying the model; (6) determining a water-inrush risk partition threshold value; (7) and dividing the coal seam floor water-inrush risk and making scientific evaluation. The coal seam floor water-inrush risk evaluation method combines the water-inrush examples with expert opinions, forms an interactive weight vector decision analysis process by adopting the FDAHP method, finally determines the weight vector which relatively conforms to the objective reality, and establishes the coal seam floor water-inrush risk index model conforming to the objective reality of a mining area, so that the evaluation results conform more to the actual production.

The invention relates to a distribution network distributed energy storage economic evaluation method and system based on operation strategy, which is characterized by comprising the following steps:1) according to a distribution system to be evaluated and an access scheme of the energy storage system, a simulation model is built, and relevant system parameters are input to obtain the operation parameters of the distribution system after being connected to the energy storage system; 2) Calculate the annual rate of return of the energy storage system according to the obtained operation parameters, the pre-constructed economic evaluation index and the economic operation model of the distributed energy storage system, and evaluate the economy of the distributed energy storage system of the distribution system. The economic operation model of distributed energy storage is established, which takes into account the actual situation of the electricity price in distribution system and distributed generation output. The economic evaluation results are more in line with the objective reality, and the calculation is simple, so it can be widely used in the economic evaluation of distributed energy storage in distribution network.

The invention belongs to the technical field of automobiles, and particularly relates to a separation identification method of electric drive power assembly system noise source. The method comprisingthe following steps of: step 1, a signal acquisition stage; step 2, a pretreatment stage; step 3, a separation stage; step 4, a merging stage; step 5, an identifying stage. The invention is a separation identification method of electric drive power assembly system noise source, and carrying out the research on separating and identifying the electric drive power assembly noise source through a computer blind source separation identification technology, so that implementing the identification process of the noise source signal at the minimal cost in the unaddressed case, and solving the problemthat the separation identification method of electric drive power assembly system noise source is insufficient in convenience, and meanwhile, applying the part of the psychoacoustic theory, so that the separation identification result is more consistent with the objective practical.

The invention discloses a number set concept based process failure risk assessment method. The method includes the steps of collecting experts' detailed assessment opinions on three risk factors, namely severity, occurrence and detection, of each process failure mode, and using the experts' assessment opinions as a number set in a range: [1, 10]; calculating an average of generalized Hausdorff distances between the experts' assessment opinions and other experts' assessment opinions. In a group decision process, weights of the experts are objectively and quantitatively calculated with the generalized Hausdorff distances, comprehensive assessed values of risk factors and interval-formed RPNs (risk priority numbers) are obtained accordingly, the problem that generally the different process failure modes cannot be distinguished with the traditional RPNs is effectively overcome, arbitrariness and deciding everything by one authority's say during the traditional group decision process are also avoided, and opinions aggregation is more scientific and more realistic.

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 present invention provides a method for quickly and comprehensively evaluating the economical and effective production feasibility of undeveloped reserves, including: selecting the evaluation object, and surveying the ground conditions of the block; clarifying the technical adaptability of the block; checking the trial mining data of the block , respectively screen out blocks with test production data and blocks without test production data; evaluate the implementation degree of test production capacity; establish economic limit parameter charts for different reservoir types, different oil prices, and different well depths, and determine the current estimated oil price. Economic limit initial production and economic limit cumulative production of oil wells in the target layer of the block; evaluate the economic benefits of test production wells, and judge the degree of reserves of the block. The rapid and comprehensive evaluation method for the economical and effective production feasibility of undeveloped reserves can quickly evaluate the economical and effective production feasibility of controlled reserves and proven undeveloped reserves, timely screen high-quality production construction positions, provide technical support for oilfield reservoir evaluation, and accelerate Effective utilization of different grades of reserves and upgrade of reserves.

The invention provides a training sample generation method and device, a model training method and device, and a character recognition method and device. The method comprises the steps: obtaining a character image, and determining each character contained in the character image; determining a weight value of each character contained in the character image by using a projection method, and labelingthe character image according to the weight value of each character contained in the character image to form a training sample; the model training method comprises the step of training a character recognition model by utilizing the training sample. The character recognition method comprises the step of performing character recognition by utilizing the character recognition model. By utilizing themethod and the device, accurate recognition of the character image of the double-half character type of the character wheel type meter can be realized, and an recognition result with bias and higherrecognition accuracy can be given.

The invention discloses a simulation model credibility evaluation method based on a hesitant cloud language term set and a group decision. The method comprises eight steps of selecting a domain expertset, determining an evaluation index set and a weight thereof, defining a language term set, obtaining an evaluation result, calculating an evaluation weight, calculating a comprehensive cloud model,calculating an expert aggregation result and calculating a comprehensive evaluation result. The hesitant cloud language term set is used for modeling language variables, fuzziness, randomness and hesitant characteristics of subjective evaluation can be described at the same time, and the objective reality of expert decision making is better met. The weight of the evaluation result is determined by quantitatively calculating the average difference degree and the comprehensive uncertainty of the expert evaluation result, so that the model is more scientific and reasonable. The uncertain information is reserved in the calculation process, the loss of decision information is avoided, and the final comprehensive evaluation result not only contains size and magnitude information, but also reflects the uncertainty. A group decision technology is adopted for evaluation, knowledge limitation of a single expert is overcome, and the reliability of an evaluation result is improved.

The embodiment of the invention provides an urban lifeline risk assessment method and device. The urban lifeline risk assessment method comprises the steps: obtaining initial risk information in a to-be-assessed region, wherein the initial risk information comprises a plurality of disaster types and initial risk features corresponding to the disaster types; determining coupling risk information among a plurality of disaster types based on the initial risk information; determining comprehensive risk information in the to-be-evaluated area based on the initial risk information and the coupling risk information; and based on the comprehensive risk information and the disaster response capability information, determining final comprehensive risk information in the to-be-evaluated area. According to the urban lifeline risk assessment method provided by the embodiment of the invention, the disaster types and the coupling disaster types associated with the disaster types are integrated to perform risk assessment on the urban lifeline, so that the assessment range is expanded. The method is more in line with objective reality, and the assessment accuracy is improved.

The invention relates to an adaptability evaluation method for a crude oil storage and transportation system of an oil field. The method concretely includes establishing a basic database and a production operation database; constructing an evaluation index system composed of a plurality of evaluation indexes, the evaluation index system being a three-layer index system; determining weights of different evaluation indexes in the index evaluation system; constructing an evaluation level standard and forming a remark set of fuzzy comprehensive evaluation; determining the degree of membership of qualitative evaluation indexes in the third-level evaluation indexes to m adaptability levels by adopting a qualitative evaluation method; reading a fuzzy relation matrix and obtaining the degree of membership of different second-level evaluation indexes to different adaptability levels and constructing a corresponding fuzzy relation matrix; reading the fuzzy relation matrix and obtaining the degree of membership of first-level indexes to the different adaptability levels and determining the final level of adaptability of the crude oil storage and transportation system of the oil field. According to the invention, the fuzzy gradual change characteristics among different specified adaptability levels can be well represented and evaluation results meet objective reality better.

The invention discloses a train door positioning method and system based on linear array image variable proportion recovery. The method comprises the steps: enabling a linear array camera arranged atthe fixed position of a pull-in end to obtain a train pull-in scanning image through fixed line frequency; identifying the train number in the scanning image, and obtaining the train door width of thecurrent train from a train number-train type database according to the train number; identifying each vehicle door target in the scanning image, and recording a vehicle door front side horizontal pixel coordinate and a vehicle door rear side horizontal pixel coordinate of each vehicle door in the image; calculating a first local distortion coefficient of each train door, and fitting an overall distortion coefficient of the train according to the first local distortion coefficient; calculating the actual width of each vehicle door and the distance from the front side or the rear side of each vehicle door to the vehicle head according to the overall distortion coefficient; and obtaining the train head position after the train stops stably, and outputting the positioning result of each traindoor according to the relative distance between each train door and the train head. The invention further provides a train door positioning system based on linear array image variable proportion recovery.

A utilization method of freezing point of red bayberry belongs to the technical field of storage and preservation of agricultural products, and in particular relates to a storage and fresh-keeping method for red bayberry fruits. The method is characterized in that the method based on years of fruit storage practice determines structure and type of a storage refrigerator, and obtains a simple method comprising installation of an compressor and automatic temperature control equipment, determination of dry matter content of red bayberry, calculation of a theoretical freezing point value, calculation of warehouse buffer value and safety coefficient, utilization of freezing point, warehouse temperature setting and artificial temperature control, and characteristics of cold air blast operation and automatic temperature control. According to utilization of freezing point of red bayberry, red bayberry is placed in the lowest bearable temperature to extend storage and fresh-keeping time and market supply period of fruits, increase the added value and ease market pressure in busy season and difficulty for farmers to sell fruits.

The invention provides a method for judging a neighbor relationship of Internet of Things monitoring points. The method comprises the following steps: firstly, reading historical monitoring data of monitoring points in a set time window to obtain a monitoring data sequence set, and then using a plurality of clustering algorithms to perform clustering on monitoring data sequences in the monitoringdata sequence set, obtaining a plurality of clustering results by each clustering algorithm by changing the number of clusters, then calculating a contour coefficient of each clustering result, and using the clustering result with the largest contour coefficient as an optimal result, and finally, judging the neighbor relationship of the Internet of Things monitoring points according to the optimalresult. According to the method provided by the invention, the logic neighbor relationship is determined by using the clustering algorithms based on the historical monitoring data and according to the inherent similarity between the data of the monitoring points, an experimental result shows that the neighbor relationship of the monitoring points judged by the method is stable, compared with thetraditional method, the method has the advantages of being more in line with the objective reality and being able to provide a more scientific and reasonable basis for the validity auditing of the Internet of Things monitoring data and other data processing.

The present invention provides a method for rapid, economical, effective and comprehensive evaluation of new exploration discoveries. The method for rapid, economical, effective and comprehensive evaluation of new exploration discoveries includes: Step 1, selecting evaluation objects; Step 2, analyzing the main controlling factors of oil testing and production capacity; Step 3, carry out targeted reservoir evaluation according to the analysis results; Step 4, compile the development concept plan, and predict the development indicators; Step 5, carry out economic benefit evaluation, and estimate the movable oil price; Step 6, clarify the newly discovered blocks for exploration Evaluate the classification results; step 7, make suggestions for the next step to the exploration department or development department as appropriate. The rapid, economical, effective and comprehensive evaluation method for new exploration discoveries can quickly evaluate the economical and effective production feasibility of new exploration discoveries, timely screen high-quality production construction positions, and provide technical support for oilfield reservoir evaluation.

The invention belongs to the technical field of thunder and lightning prevention, and discloses a power grid differentiation lightning protection evaluation method. The method comprises the following steps of: obtaining lightning protection information of a power transmission line of a power grid to be evaluated, and constructing a lightning protection evaluation model; constructing judging matrixes according to the model, calculating the maximum feature root of each judging matrix and the normalized feature vector of each judging matrix, carrying out consistency detection, and reserving the judging matrixes passing the detection; calculating combined weight vectors of the judging matrixes, and obtaining a first lightning protection measure from the lightning protection evaluation model according to the combined weight vectors; and crawling a corresponding lightning protection measure as a second lightning protection measure according to the lightning protection information of the power transmission line of the power grid to be evaluated, and comparing the two lightning protection measures to determine an optimal lightning protection measure. The invention further provides a system comprising a non-transient readable recording medium storing the program of the method and a processing circuit, the program can be called through the processing circuit to execute the method, and differential lightning protection evaluation of the power grid is completed.

The invention discloses an improved three-dimensional two-material Euler interface processing algorithm. The transportation sequence of two materials is not determined by the conventional method, and is a key problem of an Euler computation method. The transportation sequence of the two materials in a hybrid grid is related to the material content of the grid and grids around the grid, and if the transportation sequence of the two materials is not taken into account, transportation errors caused by a wrong material transportation sequence can be continuously accumulated after a plurality of transportation steps to cause reduction in the processing accuracy of a material interface. For the problem, the algorithm comprises the following steps of: discretizing a computational domain, processing a boundary condition, and adding computed contents for the transportation sequence of the materials. The material interface determined by the improved interface processing algorithm is in line with objective reality, and the processing accuracy of the material interface is also improved; and by the method, a material transportation problem can be well solved.