842results about How to "Strong timeliness" patented technology

A distributed actual condition search engine based on geographic locations and a trading system comprise a user terminal, a search engine system server end, a chat system server end, an order system server end, a payment settlement system server end and a distributed storage network. When a user inputs business information for ordering at the user terminal, the information is sent to the search engine system server end to search information such as user ID, IP address, port number, commodity content and advertisement of merchants who are closes to the user at the geographic location and return the user terminal, the user is connected with a chat system server end according to the information to chat with the merchants, the user can order and select online payment or offline payment if the user is satisfied, if the online payment is selected, the order can be issued to the payment settlement system server end to conduct settlement payment, and when the user inputs the business information for ordering at the user terminal, the information is sent to the distributed storage network for backup and storage simultaneously.

The invention discloses a method for obtaining a resident travel characteristic parameter based on mobile phone positioning data. The method comprises the following steps of: (1) collecting mobile phone positioning data; (2) filtering the mobile phone positioning data, matching the mobile phone positioning data to traffic zones, and obtaining the matched mobile phone positioning data; (3) using users as units, ordering the matched mobile phone positioning data in one day by time, merging the continuous data in the same one traffic zone into one piece, and obtaining mobile phone positioning pretreatment data; (4) according to the number of emerged pieces and influence duration, judging residing points, restoring a travel path between two residing points, and obtaining the travel distance and the travel speed, and then obtaining a travel log table of all users; (5) on the basis of the matched mobile phone positioning data, statistically obtaining a place of residence and workplace result table; and (6) and conjointly analyzing the travel log table and the place of residence and workplace result table, and obtaining resident travel characteristic parameters. The method has the characteristics of low cost, large sample quantity, high precision and high time validity.

The invention relates to a method and system for synchronization of relational databases. The method for synchronization of the relational databases comprises the following steps of: creating a data synchronization task aiming at varied data among a plurality of databases; analyzing the data synchronization task; capturing varied data in an original database; and carrying out the data synchronization task according to schedules. In the technical scheme provided by the invention, a synchronization rule among the databases is created into a task to be carried out, a database agency is used for shielding heterogeneity among the databases, the varied data is captured through a trigger and a capture table, loopback write-in is avoided, and timing and / or multi-threading implementation of the data synchronization task is realized through a scheduler. The method and the system have the advantages of simplicity and easiness in use, flexibility and high efficiency.

A bus arrival time predicting method based on multivariate information data includes the following steps that preprocessing is carried out on the obtained multivariate information data to form a historical database, wherein the multivariate information data include GPS data of buses on predicted lines, GPS data of buses passing through other lines of a road section and bus IC card data, and information obtained through processing includes bus running positions, bus speeds, intervals between stations, arrival time of the buses at each station, departure time, the number of people getting on the buses and the number of people getting off the buses; a model is built to predict running time of the buses between stations, station dwell time is predicted by calculating passenger capacity of the stations, and accordingly interval journey time is obtained and arrival time of the buses is predicted. Furthermore, a bus arrival time prediction prototype system based on the multivariate information data is developed. The bus arrival time predicting method has the advantage of being high in prediction time validity and accuracy.

The invention discloses a control system and method of a dedicated lane for an autonomous vehicle. The system comprises a vehicle-mounted system, a roadside system, a cloud lane management center, anda road information prompting system. The vehicle-mounted system includes a vehicle-mounted information processing center, an information acquisition device, a vehicle-mounted communication module, and a human-computer interaction terminal arranged on a manually driving vehicle, and an automatic driving terminal arranged on the autonomous vehicle. The roadside system includes a roadside information processing center, a video monitoring module, a roadside unit and a second 5G communication module. The road information prompt system includes an information issuing center, a variable informationprompt board, a broadcast and a third 5G communication module. The cloud lane management center includes a data processing center, a traffic information database and a fourth 5G communication module.Different traffic congestion impact factors are assigned for a manually driving vehicle and an autonomous vehicle; and whether to start an autonomous vehicle dedicated lane is decided based on a traffic congestion index and an autonomous vehicle penetration index, so that the traffic efficiency is improved.

The invention discloses a preventative device maintenance method based on dynamic reliability and belongs to the technical field of petrochemical equipment management. The preventative device maintenance method based on the dynamic reliability comprises the following steps of 1 establishing a device basic database including equipment accounts, historical maintenance and repair data, a fault strength analysis data, operation monitoring data and the like; 2 utilizing basic data to conduct operation time analysis, fault strength analysis and alarm state and operation trend analysis on devices; 3 utilizing results to establish a device reliability level and fault strength incidence matrix, formulate DRBPM data analysis logic, automatically screen preventative maintenance devices and generate preventative maintenance planning reports of the devices; 4 examining, verifying and executing the preventative maintenance planning reports of the devices. The preventative device maintenance method based on the dynamic reliability can be used for dynamic analysis and management of states of petrochemical equipment, facilitate formulation of scientific and effective device maintenance measures and provide guarantee for timely device fault elimination and production continuity reliability and can be widely applied to the technical field of petrochemical equipment management.

The present invention relates to an attack and defense differential game-based network security defense decision determination method and a device. The method comprises the steps of constructing a state evolution model NIRM for network nodes according to an SIR model during the network attack and defense process; according to a network node state migration path, acquiring a node state change differential equation set based on the state evolution model NIRM; according to the node state change differential equation set, constructing an attack and defense differential game model ADDG; according to an attack and defense return strategy and a corresponding execution cost, executing a revenue function of the attack party and the defense party during the differential game process; according to the revenue function and the attack and defense differential game model ADDG, solving out a saddle point strategy for the attack party and the defense party through the dynamic planning method, determining an optimal defense strategy and outputting the optimal defense strategy. According to the technical scheme of the invention, the problem that actual requirements cannot be met through the traditional dynamic game analysis method can be solved. Compared with the existing network security defense strategy, the attack and defense process in the continuous and real-time engagement condition is analyzed. The timeliness, the pertinence and the guiding significance of network defense decision results are better.

The invention discloses an image search method based on a CGCI-SIFT (consistence index-scale invariant feature transform) partial feature. The image search method is realized based on CGCI-SIFT and comprises the following steps of: starting from the strength and the distribution of the influence of a neighborhood domain pixel to a key point; establishing a periphery partial feature descriptor through gray level texture comparison strength information; and subsequently establishing a central partial descriptor by combining direction gradient information having relatively high central feature point description so as to form a final description, wherein the CGCI-SIFT utilizes the contrast property of a partial area and is combined with gradient information of the original SIFT algorithm, rather than that the SIFT in which the weight and the direction of the gradient are singly stored, so that the CGCI-SIFT has relatively comprehensive geometric and optical conversion invariance. Due to the utilization of the gray level texture comparison strength information, the CGCI-SIFT is simple in calculation, thereby being relatively efficient and relatively applicable to real-time application. Tests show that according to the search method, the performance is stable, the search time is short, and a remarkable improvement in the search effect can be realized.

The invention discloses a calibration method for a measuring head center position in a light pen-type portable three-coordinate measuring system. In the method, a light pen measuring head is put into a standard cone; a light pen is rotated slowly; after images are captured by a charge coupled device (CCD) camera and are transmitted to a computer for processing, a rotation translation matrix of a light pen coordinate system and a camera coordinate system is obtained; and because the standard cone and the CCD camera are fixed relatively, and moreover, the light pen per se is a rigid object, the coordinates of the measuring head center in the light pen coordinate system are solved by an algorithm according to the position invariance of the measuring head center in the light pen coordinate system and the camera coordinate system. By the method, the calibration of the measuring head center position in the light pen-type portable three-coordinate measuring system can be realized rapidly and accurately on the measurement scene.

The invention relates to a training method and system of a commodity personalized ranking model. The training method comprises the following steps: according to long-term interest characteristics in historical commodity data, carrying out off-line training on the commodity personalized ranking model, obtaining a parameter corresponding to each long-term interest characteristic, i.e. obtaining the commodity personalized ranking model with high precision, and eliminating short-term characteristics in the historical commodity data to reduce time consumption; and at a unit time interval, obtaining real-time commodity data, expanding the commodity personalized ranking model subjected to the off-line training, and carrying out on-line training on the expanded commodity personalized ranking model according to the long-term interest characteristics and the short-term characteristics in the real-time commodity data to obtain an updated parameter corresponding to each long-term interest characteristic and an updated parameter corresponding to each short-term interest characteristic. Therefore the expanded commodity personalized ranking model is updated for one time at the unit time interval to obtain the model with higher timeliness and realize the balance of the precision and the timeliness of the model so as to obtain a better prediction result.

The embodiment of the invention discloses a risk monitoring method of transaction data. The method comprises the steps that correlated transaction messages of a business system are received; the correlated transaction messages are stored to a transaction database; the correlated transaction messages are acquired from the transaction database, and the preset corresponding early warning rule configuration information of the correlated transaction messages is acquired; the early warning rule configuration information comprises at least two judgment expressions used for early warning judgment; and when the correlated transaction messages meet all the judgment expressions in early warning rule configuration through judgment in turn, alarm information of the correlated transaction messages is outputted. With application of the method, processing efficiency of risk monitoring of a monitoring system is enhanced, and problems of single and fixed monitoring rules of the monitoring system are solved.

The invention discloses an outdoor scene rapid three-dimensional reconstruction device based on an unmanned aerial vehicle image. The outdoor scene rapid three-dimensional reconstruction device comprises an unmanned aerial vehicle module, a sparse point cloud construction module and a three-dimensional scene construction module. The unmanned aerial vehicle module comprises an unmanned aerial vehicle and an unmanned aerial vehicle ground station. The unmanned aerial vehicle carries a camera and a communication device. The sparse point cloud construction module extracts feature points in each grid region through an OpenMP multi-thread processing mechanism, and performs feature matching on adjacent images; the three-dimensional scene construction module fuses the depth maps to obtain dense point clouds of the image clusters, and performs grid reconstruction based on a multi-view geometric algorithm, and combines reconstruction results of the clusters to obtain a three-dimensional structure of the whole scene. According to the device, parallel grid type feature extraction is realized, so that the reconstruction speed is greatly increased; through point cloud partitioning and grid partitioning, the memory pressure is reduced, and the reconstruction speed is increased.

The invention provides a route planning device. The device comprises an information acquisition module, a road segment recognition module, an experience route extraction module, an experience route storage module, a route repairing module, a route verifying module and a route planning module, wherein the information acquisition module is used for acquiring floating car information periodically, each piece of floating car information comprises the logo, position, acquisition time and manned state information of a floating car, and the manned state information can be manned information or unmanned information; the road segment recognition module determines the road segment where the floating car is located according to the position in each piece of floating car information and correlates the determined road segment with each piece of floating car information; the experience route extraction module determines an experience route according to acquired information, and the experience route storage module stores the experience route in an experience route library; the route repairing module is used for repairing two discontinuous road segments in the experience route to enable all the road segments in the experience route to be continuous; the route verifying module is used for deleting repeated road segments, invalid road segments and encircling road segments in the experience route; the route planning module is used for planning the route for a user according to the experience route library.

The invention discloses a method for identifying the strokes of handwritten Chinese characters. The method comprises the specific steps of building the feature sets of standard strokes of Chinese character, position relationships and intersection relationships; recording the writing features of the strokes of handwritten Chinese characters, and building the feature set of the strokes of handwritten Chinese characters; separating the strokes of strokes type uniqueness, so as to be matched with the standard Chinese characters; building the externally covered rectangle of the handwritten Chinese characters, equally dividing the rectangle to a plurality of sublattices, determining the sublattice of each stroke, and matching the sublattices with the standard Chinese characters according to an absolute position relationship; extracting the strokes of the handwritten Chinese characters, and matching with the standard Chinese characters according to the intersection relations, wherein the strokes of the handwritten Chinese characters and the strokes with the defined corresponding relations have intersection characteristics; calculating the relative position relations of similar strokes, and matching with the standard Chinese characters according to the similarity of relative positions; and judging the comprehensive similarity on the rest of strokes, and finally completing the building of the corresponding relations of all strokes. According to the method provided by the invention, the corresponding relationships between the handwritten Chinese characters of the user and the standard Chinese characters can be built, so that the method has an important application value.

The invention discloses a customer service repeated call treatment method based on a cosine similarity text mining algorithm. The customer service repeated call treatment method comprises the following steps of extracting a work order text of 95598, performing data cleaning and removing abnormal call IDs; performing pretreatment on the data, extracting work orders of the same call and constructing a repeated call work order text set; converting the text into the language which can be recognized by a computer, establishing a vector space model, and representing the text by utilizing a characteristic vector; using a vector taking weight of a characteristic item as a component to express the whole text, measuring the similarity among documents on the basis of included angle cosine of two vectors in a use space of the characteristic vector, extracting a repeated call work order of the similar content of the same user by utilizing hierarchical clustering, and performing an analysis on semantic features; timely recording the problem reflected by the repeated call work order, sending an order and tracking a record. The customer service repeated call treatment method disclosed by the invention replaces manual search of the repeated call work order, and can improve the operating rate.

The invention discloses a method for determining regional ionospheric layer delay. The method includes: collecting data; firstly establishing a regional ionospheric second-order term model according to the collected regional ionospheric VTEC (vertical total electron content) data; establishing a VTEC second-order term model and a fusion model of a neural network; adopting the fusion model to calculate VTEC values of puncture points of other positions in this area. By the method, computed results of the regional ionospheric layer delay are high in precision, and CORS (continuous operational reference system) measured results are wide in application range. A large number of engineering example application result analysis shows that precision of the computed results by the method is improved by 40% as compared to that by the VTEC second-order term model. Ionospheric layer space activity rules are high in fitting degree and high in timeliness, and convenience in use is brought. The ionospheric layer space activity rules can be obtained through analyzing according to fitting results of the neutral network, the ionospheric layer delay in any point in the area can be rapidly corrected, transmission precision and stability of radio waves can be improved, and technical support for better service for CORS can be provided.

The invention provides a flood defense rainwater condition automatic monitoring system and a measuring method thereof. The flood defense rainwater condition automatic monitoring system comprises a dispatching center, a dispatching branch center, a communication network, a cloud computing end, a switching terminal, a mobile terminal and a rainwater condition automatic monitoring station. The communication network comprises a wired communication network and / or a wireless communication network. According to the flood defense rainwater condition automatic monitoring system and the measuring method, the structure and function are diversified, information can be shared and integrated for application, staff do not need to water over the monitoring station, the structure is simple, cost is low, sensitivity is high, and environmental suitability is high.

The invention discloses a disaster monitoring and early warning system of an expressway. The system comprises a data acquisition module, a data verification module, a data conversion module, a data classification module, a threshold module and a shape changing module. The data acquisition module is used for acquiring all kinds of real-time data which affects the expressway disasters. The data verification module is used for carrying out format verification and data verification on the real-time data stored in all center servers according to data flows. The data conversion module is used for converting the data subjected to the format verification and data verification into standard data formats. The data classification module is used for classifying the converted standard data formats according to a coding rule. The threshold module is used for setting thresholds of all data which affects the expressway disasters. The shape changing module is used for comparing data flows in the threshold module and a classification database through a data loading module and displaying results in a report and thematic map manner. According to the invention, flexibility and timeliness of monitoringmeans are achieved; monitoring results are quite accurate and reliable; and disaster monitoring and prevention ability in expressway construction processes can be greatly improved.

The invention provides a method and a device for evaluating quality of a rail transit wireless network as well as a medium. The method comprises the following steps of arranging a plurality of sampling points on a rail line, and acquiring longitude and latitude of each sampling point; segmenting the rail line according to a fixed-length segmentation mode to acquire a plurality of road section intervals, and coding each road section; determining coordinates of a cell switching point in a moving test process and a code of the road section interval to which the cell switching point belongs according to actual path measurement data of the rail line; acquiring S1MME interface signaling data of a full-quantity user, and recognizing a user taking the rail transit according to the S1MME interfacesignaling data; acquiring MR data of the user taking the rail transit; positioning the MR data of the user taking the rail transit to acquire the road section interval to which each piece of MR data reported when the user take the rail transit; and evaluating the network quality of the road section interval according to the MR data of each road section interval in order to automatically evaluate the quality of the whole rail transit line network.

The invention discloses a GNSS deception jamming detection method and system in a signal acquisition phase. The method comprises the following steps: 1, in the signal acquisition phase, the characteristic parameters of a preset number of two-dimensional search arrays with Doppler frequency shift and code phase as axes generated by a receiver are extracted, and sample data are acquired; 2, throughthe training data in the sample data acquired in the first step, a pre-built classification neural network model is trained, and the well-trained classification neural network model is acquired; and 3, a to-be-detected GNSS signal is inputted to the well-trained classification neural network model acquired in the second step, and a detection result is outputted through the classification neural network model. The detection method of the invention integrates signal power, the number of correlation peaks and related peak deformity parameters for unified detection, and has the advantages of gooddetection performance, strong applicability, high timing and low complexity.

The invention relates to a lightweight remote sensing target detection method based on SEYOLOv3, which belongs to the technical field of target detection, and comprises the following steps: 1, takinga YOLOv3 algorithm as a basic model framework, and in order to reduce network parameters and improve network reasoning speed, designing a lightweight trunk feature extraction network; 2, in order to improve the scale invariance of the features and reduce the over-fitting risk, a spatial pyramid pooling (SPP) algorithm is provided, and pooling of three scales is carried out to obtain an output feature vector with a fixed length; a spatial attention model SE module is introduced, useless information is further compressed, and useful information is enhanced; and 3, updating parameters through iterative training to obtain a final network model, adopting multi-scale prediction by utilizing the model, and predicting a final result through detection heads of three scales. According to the method,while the reasoning speed of the network is effectively improved, the precision is ensured, the feature expression capability of the network is enhanced, and the scale invariance is improved.

The invention relates to the field of ecological environment monitoring, and discloses a vegetation classification method based on a machine learning algorithm and multi-source remote sensing data fusion, which is used for efficiently realizing identification and classification of vegetation types in a target area. The method comprises the following steps: acquiring a low-altitude remote sensing image of terrestrial plants in a sample area by using an unmanned aerial vehicle, and acquiring a digital orthoimage and a digital surface model of the sample area based on the low-altitude remote sensing image; extracting elevation information of the digital surface model; acquiring an SAR image of a sample region corresponding to the aerial photography time of the unmanned aerial vehicle by utilizing satellite remote sensing; carrying out wave band and image fusion on the digital orthoimage, the elevation information and the SAR image; performing inversion model training and inversion model precision evaluation on the fused image through sample area actual measurement data and a machine learning algorithm to obtain an inversion model meeting requirements; and finally, classifying terrestrial plants in the target area based on the inversion model. The method is suitable for terrestrial plant ecological environment monitoring.

The invention discloses equipment for testing high-speed tensile stress and strain of a material. The equipment comprises a test sample, a high-speed tensile testing machine, a strain gauge, a light source, a high-speed camera and a controller, wherein the test sample is shaped like a dumbbell, the middle part thereof is a parallel section, the lower part thereof is an elastic section, and the parallel section is sprayed with speckles; the high-speed tensile testing machine is used for stretching the test sample; the strain gauge is stuck on the elastic section of the test sample; a strain meter is used for receiving data transmitted from the strain gauge; the light source is used for aligning a test part of the test sample so as to make the speckles sprayed on the surface of the test sample clearly visible; the high-speed camera is used for aligning the parallel section of the test sample; the controller is used for receiving data transmitted from the high-speed tensile testing machine, the high-speed camera and the strain meter, and drawing a stress-strain curve of the test sample. The invention further provides a method for testing the high-speed tensile stress and strain of thematerial. Through the equipment and the method, the problem of oscillation of the stress-strain curve of the material under a high strain rate can be effectively solved, so that a test result becomesaccurate.

The invention relates to an electronically controlled silicon oil fan, in particular to an electronically controlled silicon oil fan control method and a controller. The controller is arranged in an engine compartment, and a circuit board is arranged between an upper cover plate and a lower cover plate. Electrical elements arranged on the circuit board constitute a control circuit, and the controlcircuit includes a CAN acquisition circuit, an MCU integrated circuit, a power supply circuit and a PWM control circuit. The operating parameters in an ECU of a vehicle are read by the CAN acquisition circuit and sent to the MCU integrated circuit; a fan control signal is formed through the logical judgment of the collected operating parameters by the MCU integrated circuit and sent to the PWM control circuit; the PWM control circuit converts the received fan control signal into a PWM signal to be used for controlling the rotation speed of a fan; and the actual rotation speed value of the fanis dynamically controlled by reading the collected real-time operating parameters of the vehicle.

The invention discloses an important writing characteristic tagging-based handwritten Chinese character neatness evaluation method. The specific steps include: establishing a Chinese character template library containing importance writing characteristic tagging; recording handwritten Chinese character writing track point set data of a user, and preprocessing the acquired data; obtaining importance tagging writing characteristics of three levels of entire characters, parts and strokes of handwritten Chinese characters of the user; performing matching analysis on the obtained writing characteristics and template characters, so as to obtain a difference relation; and identifying the grade of problems existing in the handwritten Chinese characters of the user according to the obtained difference relation, and performing neatness evaluation on the grade of the problem existing in the handwritten Chinese character of the user according to the grade. The important writing characteristic tagging-based handwritten Chinese character neatness evaluation method provided by the invention can be used for judging whether the handwritten Chinese character writing of the user is neat, and has extremely import significance and value in application of judging handwritten Chinese character writing quality and performing individual guidance of Chinese character writing.

The invention discloses an evaluation method for small and micro enterprise operation projects, which includes determining indicators affecting the feasibility factors of the project according to the contents of the small and micro enterprises to be evaluated; determining the weight of each indicator in the Internet financial environment; summarizing The weight of each indicator and the detailed rules for scoring establish an initial weighted scoring model; modify the initial weighted model to obtain an optimized weighted scoring model; score the items to be evaluated according to the optimized weighted scoring model; Scoring, determining the funding policy of the project and other steps. Its remarkable effect is: the weighted scoring model is adopted, and each indicator is given a weight, which fully considers the impact of the current Internet financial environment on the indicators and weights of the development factors of small and micro enterprises. Compared with the non-weighted evaluation model, the reliability is more reliable. High, the obtained score has a strong reference for the project managers of makerspaces.

The invention belongs to the technical field of video processing, and provides a user interface interaction method in a camera real-time picture of intelligent touch screen equipment. The user interface interaction method comprises the following steps: when a user clicks a camera picture, detecting a current click area, displaying different prop effects in real time in the camera picture, wherein the position, the size and the direction of each prop keep exactly consistent with the positions, the sizes and the directions of the facial features of a face in the camera picture, and the props move along with the movement of the face; executing a corresponding operation by a user through the detection of a clicking area, a dragging distance and a slipping-off speed in a process that the user firstly clicks a camera picture interface and then successively drags and releases the camera picture interface; and if no faces are in the presence, adding a tag on a clicking position, or when the tag is in the presence, replacing a new tag, and ensuring that the user can immediately see an effect of the tag in the camera picture. User operation efficiency and instantaneity are greatly improved, the originality requirements of short video shooting are met, and an operation threshold of general video tool software is obviously lowered.

The invention provides a flood defense rainwater condition wireless monitoring station and a monitoring method thereof. The flood defense rainwater condition wireless monitoring station comprises a monitoring terminal, measuring equipment, video equipment, a power supply part and a 4G network. The monitoring terminal comprises a low power consumption measurement and control module, an anti-thunder module and a solar energy charging control module; the measuring equipment comprises one or more than one of a water level gauge, a rainwater measuring cylinder, a flow meter, a temperature gauge and a humidity gauge; the power supply part comprises a solar cell panel and a storage battery. According to the flood defense rainwater condition wireless monitoring station and the monitoring method, the structure and function are diversified, information can be shared and integrated for application, staff do not need to water over the monitoring station, the structure is simple, cost is low, sensitivity is high, environmental suitability is high, and video images can be transmitted in real time under the wireless communication condition.

The invention provides a method for quantitatively determining the content of various types of heavy metal in fly ash by adopting an XRF (X-ray Fluorescence) instrument. The method comprises the following steps: 1) collecting the fly ash as a sample to be detected; 2) taking a fly ash standard sample and adding a substrate substance to prepare a series of fly ash standard test samples containing lead, chromium, copper, zinc, arsenic, cesium, cadmium and barium elements with different concentrations; 3) detecting the sample to be detected and the fly ash standard test samples by adopting an X-ray fluorescence spectrometer respectively; carrying out quantification by adopting a standard curve method to obtain the content of the lead, chromium, copper, zinc, arsenic, cesium, cadmium and barium elements in the sample to be detected. According to the method for quantitatively determining the content of various types of the heavy metal in the fly ash by adopting the XRF (X-ray Fluorescence)instrument, provided by the invention, the disadvantages of digestion pre-treatment and ICP-OES detection of an existing fly ash detection technology can be overcome; accurate and rapid quantitative determination of the content of various types of the heavy metal in the fly ash is realized.

The invention discloses a searching method for a news webpage, comprising the steps of: A, creating a news webpage index, determining a weight parameter of each news webpage corresponding to a relevant retrieval data according to text content, time and reprint situation; B, retrieving matched new webpage information from the news webpage index according to an input retrieval data when retrieving a news webpage; C, outputting ordered retrieval result. The invention is capable of accomplish effective retrieval order for a news webpage, and improving precision for news retrieval, so as to enable the retrieval result close to virtual retrieval requirement of user.