334results about How to "Quick dig" patented technology

The embodiment of the invention relates to a self-learning-based vehicle autonomous driving method and system, and electronic equipment. The method comprises the steps of: on the basis of road relateddata acquired for a route to be learned, performing road environment learning, and constructing a virtual road scene; planning the target trajectory and the target speed of a vehicle in the virtual road scene; on the basis of the virtual road scene, the target trajectory and the target speed, generating an autonomous driving control model to be trained; and, training and verifying the autonomousdriving control model, so that whether the route to be learned is suitable for autonomous driving or not is determined. According to the learning type autonomous driving scheme provided in the embodiment of the invention, whether the route supports application of a vehicle autonomous driving system or not can be analyzed in a short time; therefore, a road section capable of supporting autonomous driving is rapidly extracted; and the application range, the use flexibility and the real-time performance of the autonomous driving system are improved.

The invention discloses an intelligent operation and maintenance framework design method for a power grid dispatching control system, which includes the following steps: 1) omni-directional monitoringdata acquisition, 2) monitor data storage, 3) real-time monitoring alarm, 4) fault diagnosis and location, and 5) multi-dimensional visual display. The application can monitor the operation status ofthe whole system in real-time, evaluate the health status of the software and hardware such as the host, storage, application and the like in an effective, accurate and timely manner, and provide effective information for system optimization and fault discovery, and improve the operation and maintenance efficiency of the system.

The invention discloses a method for analyzing and excavating area defaulted electricity use based on electricity use quantities. The method comprises steps such as data collection, data conversion, data cleaning and K-means clustering analysis based on the electricity use quantities. According to the invention, electricity use data is excavated from two perspectives including the electricity use quantities and electricity use behaviors. K-means is taken as a classical algorithm to excavate users' electricity use behaviors, and is also an important tool of the method disclosed by the invention. Clustering is conducted according to the users' electricity use quantities and electricity use behaviors; each user's characteristics in dimensions of the electricity use quantity and the electricity use behavior are recognized; through comprehensive analysis of these two perspectives, clients suspected of the defaulted electricity use can be found through detection; and in this way, the defaulted electricity use users can be excavated more visually and rapidly from mass data.

The invention discloses a user tag determination and information pushing method and device. The method includes the steps that by configuring a label rule and a label feature library of to-be-mined user labels, user behavior data is collected, the configured label rule and the label feature library are tested by means of the user behavior data so as to determine whether the configured label rule and the label feature library meet conditions of the user labels or not, quick mining of the user labels is achieved, and the mining efficiency of the labels is effectively improved. Meanwhile, the precise user labels can be configured for different users according to the matching relationship between the user labels and a target object, a foundation is laid for subsequent business popularization, and the efficiency of responding to business requirements is improved.

The invention discloses an abstracting method for mass-text quick understanding. The abstracting method includes the steps that the content of text is obtained; the text is subjected to pretreatment operating such as word segmentation, coreference eliminating, redundant information removing and analysis unit dividing; the content of the text is subjected to subject analysis with a topic model to obtain subject distribution in the text; a graph model is built according to subject incidence relationships between analysis units, and weights of all directed edges in the graph model are calculated; the graph model is calculated with the contribution iterative method till is converged, and the text summarization with the suitable length is generated as requirement. According to the text abstracting method, mass unstructured text data can be automatically analyzed, the text summarization with which a core topic can be fully covered is obtained to serve as replacement of mass original data, and therefore the quick understanding aim is achieved.

The embodiment of the invention provides an abnormal transaction account group identification method and device. The method comprises the steps of respectively inputting the attribute information of each account into a machine learning model for predicting an account risk, and determining at least one account as a high-risk account; respectively executing a local community mining step for each high-risk account: taking the current high-risk account as an initiating node, respectively determining association values between other nodes and the initiating node in the graph data, and determining arisk account community corresponding to the high-risk account; and if a plurality of risk account communities are obtained and the risk account communities meet a preset non-similar requirement, determining each risk account community as an abnormal transaction account group of the target financial institution. According to the invention, the efficiency, reliability and accuracy of abnormal transaction account group identification can be effectively improved, and the operation safety and reliability of a financial institution obtaining an abnormal transaction account group through identification can be further improved.

The invention discloses an information mining method and device. A specific implementation way of the method comprises the following steps: carrying out sentence segmentation on obtained text information to obtain a sub-sentence set; selecting at least one candidate sub-sentence from the sub-sentence set according to the preset public opinion word set; carrying out word segmentation on the at least one candidate sub-sentence on the basis of a domain dictionary, carrying out dependency parsing on various words obtained after word segmentation to obtain at least one candidate word collocation pair; selecting at least one word collocation pair from the at least one candidate word collocation pair as a first word collocation pair set mined from the text information according to the public opinion word set. The implementation way achieves rapid and accurate information mining.

The invention provides a synchronous transmission control method and device for a digital retina video stream and a feature stream, electronic equipment, network video monitoring equipment and a computer readable medium. The method comprises the following steps: acquiring a monitoring video stream; generating a concentrated video stream corresponding to the monitoring video stream by adopting a video concentration technology; extracting feature information in the monitoring video stream to form a feature stream; and respectively uploading the concentrated video stream and the feature stream toa cloud server. Because the concentrated video stream has the advantages of small occupied storage space, high fidelity factor and the like, compared with a mode of uploading all monitoring video streams to a cloud server in the prior art, the method has the advantages of small occupied storage space, low network transmission load, high transmission efficiency and the like; meanwhile, the featurestream is extracted according to the monitoring video stream and uploaded to the cloud server, thereby facilitating the quick recognition of the positioning target and the mining of the movement track of the positioning target, and effectively improving the retrieval efficiency of the monitoring video.

The present invention discloses a multi-cutter head mechanism combined ball digging device and an application of flesh ball digging equipment thereof. The ball digging device includes a left arc-shaped plate and a right arc-shaped plate, the arc-shaped concave of the left arc-shaped plate is arranged oppositely to the arc-shaped concave of the arc-shaped plate, the left arc-shaped plate and the right arc-shaped plate are respectively mounted with multi-cutter head mechanisms, front ends of the multi-cutter head mechanisms are mounted with double-edged round knives for digging balls, the double-edged round knives stretch toward and arranged at the center of the left arc-shaped plate and the right arc-shaped plate, fruits are fixed at the center of the left arc-shaped plate and the right arc-shaped plate through fruit stickers so that flesh balls can be dug at the same time with the rotation of the double-edged round knives. The multi-cutter head mechanism combined ball digging device and the flesh ball digging equipment realize fully automatic operation and quick digging of the flesh with high work efficiency.

The invention discloses a heavy oil-based quantitative identification chart interpretation method with gas logging. An oil-water layer is quantitatively identified by comprehensively applying gas logging parameters, the concept that the oil-water layer is identified by use of a concentric circle chart of parameters of a methane-ethane logarithmic ratio and a light-heavy hydrocarbon logarithmic ratio is provided for the first time. The method is characterized by comprising the steps of: a step of parameter acquisition, selecting various parameters including a heavy hydrocarbon component in gas logging; a step of parameter preprocessing, carrying out parameter evaluation by use of the ratio of the sum of hydrocarbon components to total hydrocarbon, and excluding an oil layer with the thickness of less than 1m in consideration of the limitation of the gas logging technology; a step of parameter calculation, calculating two derivative parameters of the methane-ethane logarithmic ratio and the light-heavy hydrocarbon logarithmic ratio; and a step of establishment of an oil-layer quantitative identification chart, respectively drawing a graphic bar by use of gas logging hydrocarbon component derivative parameters of the methane-ethane logarithmic ratio and the light-heavy hydrocarbon logarithmic ratio according to a drilled measured result. According to the method, the oil-water layer in a reservoir stratum is qualitatively and semi-quantitatively identified by use of a comprehensive logging technology, the first-hand logging information can be fully discovered, and the oil-water layer can be evaluated rapidly and reliably.

The invention designs a cloud computation architecture for a household internet of things. The architecture proposes a cloud computation architecture facing an environment of the household internet of things on the basis of integration of current effective communication management, data storage, data analysis and exploration, transaction management and control technologies. The architecture mainly includes (1) household internet of things mass data storage module; (2) a communication management and message processing module of a household internet of things intelligent terminal and a cloud background; (3) an analysis and exploration module for data of environment parameter analysis and early warning and user habit analysis and the like; (4) a service control module. The architecture aims at providing a powerful data storage and analysis platform for the household internet of things intelligent terminal so that more intelligentialized and more user-friendly comfortable life services are provided to users.

The invention provides a webpage detection method based on text analysis. The method comprises the steps that on the basis of a crawling webpage data source, a feature extraction strategy is defined; page preprocessing is performed, the content of an obtained webpage is determined, and entry attributes unrelated to extracted information are discarded; according to the extraction strategy, a needed data item is obtained and stored in an XML file; the XML file is subjected to feature extraction to obtain a feature vector and to be clustered; the clustered files are stored into a corresponding database according to class clusters. According to the webpage detection method based on text analysis, similar data is rapidly and efficiently checked out for a large dataset, valuable information is rapidly excavated, and the user experience of a search engine is improved.

The invention provides an intelligent landscape tree transplanting robot. The intelligent landscape tree transplanting robot includes a vehicle hopper, vehicle shafts, direct-current motors, wheels, and a first vertical guide rail; the vehicle hopper is of a coverless box structure; two steering engines are arranged on a front end and a back end of the lower part of the hopper; output shafts of the steering engines are downward; the vehicle shafts are arranged on the lower ends of the output shafts; the steering engines control the rotation angles of the vehicle shafts; two direct current motors are arranged on two ends of each vehicle shaft respectively; the wheels are arranged on motor shafts of the direct current motors; and the direct current motors drive the wheels to rotate. The intelligent landscape tree transplanting robot can rapidly dig soil through a V-shaped transmission belt support, thereby facilitating in-place of a main box.

The invention relates to an obstetrical special disease association index mining method based on an electronic health record. The method comprises the steps of constructing a basic information database, performing disease classification data association, performing data preprocessing, performing sampling to obtain a sample set, constructing a sub-feature screener, constructing a combined screenerand performing association index inspection. The method has the advantages that on the basis of mass electronic health record data, association index mining is carried out, and resource input is low;2, by means of a machine learning method, high-dimensional indexes are automatically analyzed, and a more comprehensive associated index set can be quickly mined; 3, a process-based association indexmining system can be established for the obstetrical special diseases, and the system is easy to popularize in different medical institutions. Therefore, the method provided by the invention is a powerful supplement of a traditional method, on one hand, researchers can be assisted in knowledge discovery, and time and manpower are saved, and on the other hand, a basis can be provided for early prevention and treatment of obstetrical diseases.

The invention discloses a hyperspectral remote sensing judgment method for degree of soil salinization, and relates to the technical field of geography. The method provided by the invention comprisesthe following steps: collecting the undisturbed soil samples below the surface layer of the soil as original soil samples; measuring the original soil samples and the weight after drying, calculatingthe moisture content of the soil samples; measuring the spectral reflectance of the original soil samples to obtain an original spectral reflectance; performing SG smooth denoising on the original spectral reflectance; sorting the original soil samples from high to low according to the soil salt content, and dividing a modeling set and a sample set; preprocessing the hyperspectral data; performingfractional differential processing, establishing a soil salinity least squares regression model by using the processed data; comparing RMSEc, 2cR, RMSEp, R2p and RPD, and screening the best model tostudy the soil salt content inversion in the study area; inputting hyperspectral information of unknown soil samples through the optimal model to fast and accurately obtain the salt content of the soil sample, and comparing with the salinization classification standard table to accurately determine the degree of soil salinization.

The invention discloses a method for extracting video texture characteristics based on fuzzy concept lattice, which mainly solves the problems of large computation quantity, low efficiency and low real-time performance in a traditional method. The method comprises the realizing steps of: (1) dividing a video lens; separating the divided video lenses into video segments; using a first frame of thevideo segments as a key frame of the video segments; (2) separating an image of the key frame into blocks; computing a gray co-occurrence matrix of the image blocks; computing fourteen texture characteristic vectors of second-order moments, entropy and the like based on the gray co-occurrence matrix; (3) using the image blocks of the key frame as an object set; using the texture characteristic vectors of the image blocks as an attribute set to form a fuzzy form background for constructing the fuzzy concept lattices; (4) generating a texture related rule by the fuzzy concept lattices of the key frame; and (5) extracting the texture characteristics of all video frames in the video segments according to the texture related rule of the key frame. The method can be used for quickly and accurately extracting the video texture characteristics, and video processing fields of target identification, video search and the like.

The invention provides an industrial control dynamic defense method. The method comprises the following steps: cleaning industrial network flow data to obtain industrial control protocol flow data; judging the industrial control protocol flow data; recording a protocol data format of an unknown industrial control protocol, and obtaining a data interval range of the industrial control protocol; intelligently filling protocol contents according to the interval range, and integrating the protocol format and the filled data to form a learning result; generating a dynamically changing white list according to the learning result; and performing industrial control dynamic defense according to the white list. The invention further provides an industrial control dynamic defense system. The industrial control dynamic defense method and system provided by the invention has the advantages of being able to accurately recognize industrial private protocols, high in compatibility and high in protection precision, etc.

The invention discloses a concrete asphalt ground ditcher which comprises a frame, a power device, two walking mechanisms, a cutting and crushing device, a ditching and soil separating device and a hydraulic system. The two walking mechanisms are symmetrically arranged on the two sides of the frame, and the power device is connected with the walking mechanisms. The ditching and soil separating device is arranged on the rear side of the vehicle body. The cutting and crushing device is arranged at the front end of the frame through a front supporting frame and comprises a transmission shaft, a crushing assembly and a cutting blade. The transmission shaft is connected with the power device through a first transmission belt. The cutting blade is arranged on the cutting blade driving shaft, andthe cutting blade driving shaft is connected with the front supporting frame through the cradle. The crushing assembly comprises a sleeve, an impact rod and an eccentric wheel, the impact rod is vertically and movably arranged below the transmission shaft through the sleeve, an impact head is arranged on the lower end thereof, and the eccentric wheel is arranged on the transmission shaft. The concrete asphalt ground ditcher is reasonable in structural design, capable of cutting and crushing firstly and then digging quickly, adjustable in ditching depth, capable of achieving deep digging and replacing manual ditching, time-saving, labor-saving and high in working efficiency.

The invention relates to a chain tooth type continuous wall trenching machine. The chain tooth type continuous wall trenching machine comprises a trenching machine body, a chain tooth mechanism connected with the front end of the trenching machine body through a track supporting frame, and a lifting mechanism, wherein the chain tooth mechanism is perpendicularly connected with the track supporting frame in a sliding mode, the lifting mechanism comprises a winch arranged on the rear end surface of the track supporting frame or the trenching machine body, a reversing assembly fixedly arranged at the top end of the track supporting frame and a movable pulley assembly fixedly arranged at the top end of the chain tooth mechanism, and a steel wire rope paid off from the winch sequentially passes through the reversing assembly and the movable pulley assembly and then is fixedly connected with the movable pulley assembly or the reversing assembly. According to the chain tooth type continuous wall trenching machine, the lifting mechanism is optimized, the service life of the steel wire rope is prolonged, and therefore the fault rate of the chain tooth type continuous wall trenching machine is lowered.

The invention discloses a multifunctional electric pole inclination preventing and positioning device which comprises a transversely-arranged base. The two ends of the base are provided with a back limit device and a front limit device respectively, a swing barrel capable of swinging front and back is hinged to the interior of a supporting section of the base, a supporting device is inserted into the swing barrel and locked together with the mid-upper section of an electric pole through a locking device which is hinged in an up-and-down swinging mode, the power input end of the supporting device is in transmission connection with a power device through a bendable transmission hose, the supporting base is fixedly provided with a handle, and the inner end of the handle is fixedly provided with a protective cover which expands outwards. The multifunctional electric pole inclination preventing and positioning device has the advantages that earth and stone on the ortho position side of the electric pole can be quickly excavated, dust erosion can be prevented, the electric pole can be quickly centralized, time and labor are saved, firmness and reliability are achieved, the size is small and exquisite, carrying is convenient, the electric pole can be centralized by one person independently, the centralization efficiency is high, and the electric pole can be prevented from being broken.

The present invention discloses a method and a system for big data integrated management applied to the auditing field. The method comprises the following steps of: the step A) obtaining original dataof an audit object by audit personnel in a database backup recovery mode; the step B) employing a collection tool being compatible with more than 90% finance and account set software in the market toperform structure analysis, data cleaning, data conversion and data Chinesization operation of the original data according to the guidance of the corresponding practice statement issued by the auditoffice, and converting the original data to a special standard data sheet for a big data platform; the step C) inputting the special standard data sheet for the big data platform into a distributed database of the system by employing an ETL tool, and employing the data to create a reverse data search index; and the step D) after the steps are completed, allowing audio personnel to perform daily data analysis operation. Through adoption of the principle, the method and the system for big data integrated management applied to the auditing field are high in automation degree, simple to operate, fast in reaction speed, good in association analysis and low in requirement for audit personnel's computer levels.

The invention discloses a network specific content digging method and device and electronic equipment. The network specific content digging method includes the steps that a first URL and a second URL skipping from the first URL are extracted in multiple browser logs; the first URL matched with identification information of a specific website is determined; a URL from the specific website is screened from the second URL skipped from the first URL matched with the identification information of the specific website; a network hotpoint URL is searched for in the URL from the specific website, and webpage content corresponding to the network hotpoint serves as network specific content. The network specific content can be dug quickly and accurately, and the obtained content is more comprehensive.