70results about How to "Improve Analytical Processing Efficiency" patented technology

The embodiment of the invention provides a video classification method, a medium, a video classification device and computing equipment. The method comprises the following steps: extracting one or more key frame images from an encoded data stream of a to-be-classified video; inputting the key frame images into a pre-trained image classification model to obtain an image classification result of each key frame image; and determining a video classification result of the to-be-classified video according to the image classification result. According to the method, video classification can be completed only by extracting a small number of key frame images for decoding; the video classification efficiency is greatly improved, the complete video does not need to be decoded, the analysis processingtime of video classification is remarkably shortened, the video analysis processing efficiency is improved, high-precision real-time analysis and classification requirements can be met, and the method is particularly suitable for efficient classification processing of massive short videos.

The invention provides a real-time crop growth condition monitoring method based on spectrum images. The method comprises steps as follows: determining initial monitoring parameters; screening sensitive wavelengths which have guiding significance in crop growth condition; acquiring crop images F of to-be-monitored crops exposured to the sensitive lengths; analyzing the crop images F to obtain a real-time crop growth condition monitoring model; monitoring the crop growth condition in real time on the basis of the real-time crop growth condition monitoring model. The method has the advantages as follows: images under crop sensitive wave bands are acquired on the basis of a spectrum and image fusion technology, so that the smallest amount of information is provided on the premise that the crop images contain crop growth condition information, follow-up image analysis and processing efficiency is improved, the crop growth condition information can be acquired quickly and accurately, and the crop growth condition monitoring timeliness is improved.

The embodiment of the invention provides an application program log management method and device, and relates to the technical field of data processing. The method includes the steps that log information corresponding to functional blocks in a running application program is generated and stored, wherein the functional blocks are divided and determined in advance according to functional logic involved in the running process of the application program; when it is detected that sending conditions are met, log information, meeting the sending conditions, in the log information corresponding to the functional blocks is sent to a server corresponding to the application program. By dividing the functional blocks contained in the application program in advance according to the functional logic in the running process of the application program and storing the log information corresponding to the functional blocks, the log information meeting certain sending conditions can be acquired and sent, and thus the server can store the log information of different functional blocks; when it is needed to analyze the log information in the follow-up process, targeted analysis and processing can be achieved, and the analysis and processing efficiency can be easily improved.

The invention relates to an electricity theft prevention method based on user behavior analysis. The electricity theft prevention method comprises the steps of establishing an artificial neural network through using electricity theft parameters of a peak active power, an ordinary active power, a valley active power, a total reactive power, a total active power, a power factor and the like as input vectors and using an electricity theft coefficient as an output vector; performing normalization on the generated training sample, inputting the normalized training sample into the artificial neural network, and training the artificial neural network; inputting the acquired electricity theft parameters into the trained artificial neural network, and outputting the electricity theft coefficient; and determining whether a user has an electricity theft suspicion according to magnitude of the electricity theft coefficient. Compared with a traditional artificial case selection and checking method, the electricity theft prevention method has advantages of effectively realizing big data throughput, improving data analysis processing efficiency, and more accurately determining an electricity theft suspect.

The invention discloses an electric power tower inspection track generation method based on point cloud matching. The method comprises the following steps: S1, carrying out three-dimensional modelingon a determined type of electric power tower, obtaining three-dimensional point cloud data cloud_t of the electric power tower as point cloud template data, and planning an autonomous inspection tracktrace_t of the electric power tower as track template data corresponding to the point cloud template data; S2, performing three-dimensional modeling on target towers of the same type to obtain three-dimensional point cloud data cloud_obj of the target towers; S3, registering the point cloud template data with the three-dimensional point cloud data of the target tower to obtain a translation vector t and a rotation matrix R between the point cloud template data and the three-dimensional point cloud data of the target tower; and S4, performing translation and rotation transformation on the track template data trace_t by using the translation vector t and the rotation matrix R to obtain an inspection track trace_obj of the target electric power tower. According to the method, the generationefficiency of the inspection track of the electric power tower is improved, and the inspection data of the same type of towers can be ensured to keep relatively high consistency.

The invention provides a space target knowledge graph construction system. The space target knowledge graph construction system comprises a text information collecting and processing module, a literature information collecting and processing module, a knowledge graph construction module and a knowledge graph display module. The problems that space target information is high in confidentiality, high in specialty, difficult to directly obtain and the like are solved. Space target related information such as news, microblogs and academic periodicals is obtained. A data mining method is adopted, space target information hidden behind massive information is researched, space target attribute information is visually displayed, the mutual relation between space targets is analyzed, two kinds of knowledge maps are integrated by applying a software technology, and a space target knowledge map system is constructed. The crawler and natural language processing technology is used, so that the information collection and processing efficiency is improved. News and microblog data are preprocessed, so that repeated crawling of the news data is avoided, and the reliability of the microblog data participating in knowledge graph construction is improved.

The invention relates to a method for carrying out streaming counting sort by utilizing a micro light pattern; a cell convergence channel, a single cell sampling recognition channel and a cell separation channel are formed by sequentially constructing the light pattern, so as to realize continuous convergence, recognition and separation of cells; in the cell recognition process, sorting counting of various cells is carried out, and the three channels form a sorting microsystem sequentially to realize the counting sort of various cells in an organism sample finally. The organism cell counting and separating method provided by the invention fully utilizes the flexibility of the micro light pattern, and a complex physical entity electrode array is avoided from being manufactured on the chip, and the method is superior to the existing counting sorting method of the organism cells on the cost, function and performance.

The invention provides a long Weibi image identification method and device. The long Weibo image identification method comprises steps of obtaining a Weibo image to be identified, converting the Weibo image to be identified to a gray scale image, performing image morphology processing on the gray scale image, wherein the image morphology processing comprises binary processing and erosion and expansion processing, performing character identification on an image which goes through the image morphology processing, and determining the Weibo image to be identified is a long Weibo image when a number of lines of identified characters is greater than a threshold of a preset number of lines. On the basis of the image processing on the Weibo image to be identified and identified processing of effective character lines, the long Weibo image identification method and device can accurately and efficiently identify whether the Weibo image is a long Weibo image. As a result, the long Weibo image identification method and device make data analysis based on long Weibo image identification result more pertinent, information processing redundancy is low and data analysis processing efficiency is high.

The embodiment of the invention provides a data processing method and device, an electronic device and a computer readable storage medium, and relates to the field of big data processing. The method comprises the following steps: based on an acquisition tool and / or an acquired match image, acquiring real-time competition data of each time period in the current competition process; based on the real-time competition data of each time period in the current competition process, obtaining real-time competition data; calculating real-time competition data corresponding to each player in each time period in the current competition process; based on the relationship between the real-time game data corresponding to each player in each time period and the preset game data, calculating real-time competition data corresponding to each time period of each battle team, then calculating competition result data corresponding to the current competition based on the real-time competition data corresponding to each time period of each battle team, and presenting the competition result data to the user. According to the embodiment of the invention, the efficiency of electronic competitive data analysis and processing is improved, the accuracy of an electronic competitive data analysis result is improved, and the user experience is improved.

The invention discloses a big data analysis system, a server, a data processing method and a storage medium. The large data analysis system of the invention comprises a client, a server and a plurality of data processing engines. Wherein the server is used for identifying whether the calling identification information is included in the information fragment; when the invocation identification information is recognized, the information fragment is sent to the corresponding data processing engine to be invoked for data processing, and the returned data processing result is received. Compared with the prior art, the big data analysis system of the invention integrates a plurality of data processing engines, provides a unified interactive entry for users, and simplifies the operation of users.

The invention belongs to the technical field of computer security, and discloses a security event processing system and method based on computer network information. The system comprises a network monitoring module, a data acquisition module, a data mining module, a data processing module, a central control module, an information security evaluation module, an event analysis module, an event processing module, a data storage module, an alarm module and a display module. According to the system, most invalid and repeated information in the network security information can be filtered, the information processing efficiency and the information availability are improved, and the security event analysis and processing efficiency is effectively improved; meanwhile, real-time high-speed analysisand merging processing of the security events and presetting of merging logic of the merging events can be achieved, unified management of the security events is facilitated, and the security of computer network information is greatly improved; in addition, the security events are accurately analyzed and processed, and efficient execution of a network security function is ensured.

The invention provides a chemiluminescence immunity analyzer, belonging to the technical field of medical treatment equipment. The chemiluminescence immunity analyzer comprises an incubator module, a sample loading module, a magnetic separation module, a reading module, an electrical control module and at least two experimental units, wherein the two experimental units comprise reagent strip bins and reagent strips arranged in the reagent strip bins; and the experimental units are respectively in functional connection with the incubator module, the sample loading module, the magnetic separation module and the reading module. By arranging at least two experimental units, a single processing mode or a batch processing mode can be flexibly selected according to an analysis task, so that the analysis processing efficiency of the reagent strips is improved.

The invention relates to a data query method and device, a storage medium and electronic equipment. The invention aims to reduce the use cost of a user in a data query process and improve data query efficiency. The method comprises the steps of acquiring a structured query language statement determined based on a unified structured query language standard; determining query features corresponding to the structured query language statement, wherein the query features are used for representing query semantics of the structured query language statement; according to the query characteristics of the structured query language statement, determining a target calculation engine in a plurality of calculation engines, and converting the structured query language statement into a target data query statement which can be executed by the target calculation engine; and executing the target data query statement through the target calculation engine.

The invention discloses a catering distribution analysis processing system and a catering distribution analysis processing method based on big data, which belong to the technical field of big data analysis. The catering distribution analysis processing system comprises an ordering platform used for issuing catering information, a user side used for ordering, a rider side used for distributing takeout, and a dialing reminding module used for reminding a user by dialing. The catering distribution analysis processing system and the catering distribution analysis processing method are scientific and reasonable, safe and convenient use, historical ordering time and shops of customers are analyzed by utilizing big data, when the rider goes to the store to take and deliver the meal, the destination is consistent with the historical ordering time of the customer, messages are pushed to the users to remind users to order meals, on one hand, the rider carrying out catering distribution can carryout distribution together with a plurality of orders; on one hand, the distribution of the riders is more reasonable, the distribution efficiency of the riders is effectively improved; moreover, thetake-out time of the user is greatly shortened, the time of the user from ordering to receiving the takeout is greatly shortened, and the whole catering distribution is more reasonable.

An embodiment of the application discloses an information superposition method, an information extraction method, an apparatus and a system of video images, wherein the information superposition method comprises the steps of receiving an original analog video signal obtained by a camera, encoding information to be superposed to the original analog video signal and superposing the information to a preset area of the original analog video signal, and outputting the analog video signal which are superposed by encoding information. In the embodiment of the invention, what is superposed in the video signal is encoded information, so that the superposed information occupies a small space and has a reduced interference to the video images, and accordingly the identification speed is improved and the operand is reduced when an information extraction operation is carried out, and the analysis processing efficiency of the video images is improved.

The invention provides a data processing method and the related equipment. SQL statements do not need to be written by a user during data processing so that data processing efficiency is improved. Themethod comprises steps of determining a target statistical report data set, wherein the target statistical report data set is a statistical report data set to be analyzed; determining a statistical dimension, a statistical index and a filtering condition; constructing a target structured query language (SQL) statement based on the statistical dimension, the statistical index and the filtering condition; and performing operation processing of the target statistical report data set according to the target SQL statement to obtain the analysis result.

The embodiment of the invention provides a log processing method and device and a storage medium, and relates to the technical field of data processing. The log processing method provided by the embodiment comprises the steps of obtaining an original log, carrying out the splitting and recombination of the original log according to a preset separator, and generating a plurality of pieces of singlelabel information;querying the plurality of single label information according to preset dimension information to obtain a query result, the query result comprising the number of the single label information corresponding to the dimension information, and splitting and recombining the original log to form a plurality of single label information. A plurality of one-to-many data types are convertedinto a plurality of one-to-one data types, so that the data types are simplified, query and arrangement can be directly carried out according to set dimensions when specific analysis is carried out on the user logs, and the data processing and analysis efficiency is improved.

The invention discloses a model management tool based on data mining and analysis. The model management tool comprises a model management module, an algorithm management module, a task management module, a data source management module and a service source management module. The core function of the system is model management, algorithm management and task management, other modules are auxiliary modules for the three core modules, and the effects of autonomous modeling, real-time model training, real-time display of output of model calculation and the like are achieved by using model selectionof the workflow technology, the calculation engine technology, the data storage technology, the task scheduling technology and the like. The model management tool has the beneficial effects that themodel creation efficiency during data mining and analysis is improved, the data mining and analysis processing efficiency is improved, the requirements of operators are reduced, and the production cost is reduced.

The embodiment of the invention provides a data processing method and a data processing system, which are used for solving the technical problem that in the prior art, when massive log data are storedunder large concurrency, the consumption of storage resources is relatively high. The method comprises the following steps: obtaining a plurality of business log files; Wherein each business log filecomprises a plurality of pieces of business log data, and each piece of business log data comprises lexical items used for representing business operation and lexical item feature information; Analyzing the plurality of business log files, and establishing a mapping file, the mapping file being used for indicating a mapping relationship between the lexical item and the lexical item feature information of each piece of business log data in the plurality of pieces of business log data included in each business log file; Performing data recombination on each piece of business log data based on the mapping file, and obtaining and storing a to-be-stored file data set; Wherein the number of the lexical items of each piece of file data in the to-be-stored file data set is smaller than or equal to the number of the lexical items of each piece of business log data.

The present invention discloses a system and a method which utilize a mobile communication terminal and a mobile communication network to realize the sampling of real-time multimedia data and the forgery prevention of sampling times. The method includes four steps; firstly, the client software of a mobile terminal is used to sample multimedia data including but not limited to picture data, video data and audio data; secondly, while the data sampling is finished, the client software of the mobile communication terminal records the information data of the current network time; thirdly, the sampled data and the time information data are sent to a server end via the mobile communication network; fourthly, after successfully receiving the whole data, the server end returns an acknowledgement message. The method of the present invention allows a user to directly use the mobile communication terminal to carry out the spot sampling of data and mark the sampled data by using a network time, which ensures that the sampled data and the sampling time point can not be forged, thus guaranteeing the authenticity of data. Meanwhile, because data can be real-timely uploaded via a wireless communication network, the efficiency of sampled data analysis and process is increased, the hardware cost of using dedicated sampling devices is also reduced.

The invention discloses a message processing method and device. The method comprises the following steps: sequentially copying received messages into an array in a main thread; extracting source addresses and target addresses of the messages in the array in a message distribution thread; computing the source addresses and the target addresses; and sending the messages to corresponding working threads according to computing results. Through adoption of the technical scheme in the embodiment, different CPUs (Central Processing Units) can directly obtain messages needing to be processed, so that the utilization ratios of the CPUs are increased greatly; the message processing efficiency is increased; the hit rate of CPU caches is increased; and influences among different threads are avoided.

The invention is suitable for the technical field of data processing, and provides a transaction data processing method and device, terminal equipment and a readable storage medium, and the method comprises the steps: reading an identifier and a data type of to-be-stored transaction data when the to-be-stored transaction data is received, determining a corresponding index value according to the identifier and the data type, and storing the to-be-stored transaction data into a corresponding preset storage space according to the index value. The corresponding index value is determined through the identifier of the transaction data and the data type, the transaction data is stored in different preset storage spaces based on the index value, and when the transaction data query instruction is received, the index value is determined according to the identifier, and the corresponding target transaction data is read, so that the storage efficiency and the reading efficiency of the data are improved, and the data analysis and processing efficiency is improved.

The invention provides a text processing method and device, electronic equipment and a readable storage medium, and relates to the technical field of computer data processing. The method comprises thesteps of inputting obtained first text data into a target word segmentation device corresponding to a first specified task; preprocessing the first text data through a target word segmentation deviceto obtain second text data, the second text data comprising labels corresponding to the first specified task; training the first language model according to the second text data obtained after labelremoval to acquire a trained second language model, wherein the first language model is a trained language model; and inputting the second text data with labels into the second language model based onthe first specified task to obtain a processing result corresponding to the first specified task. According to the scheme, the operation steps of text data analysis and processing can be simplified,so that the analysis and processing efficiency is improved.

The invention discloses a high-voltage circuit breaker cam crack fault detection device and method, and belongs to the field of power system fault detection. The detection device comprises a magneticbase, a vibration acceleration sensor, a signal acquisition module and a signal processing module. According to the invention, a vibration signal near the cam in the closing process of a circuit breaker is collected, a wavelet packet frequency band energy decomposition algorithm is used for extracting a characteristic value of the effective vibration signal, and the characteristic value is compared with a preset threshold value, so that whether the cam structure of the high-voltage circuit breaker operating mechanism has a crack defect or not is judged. Compared with the prior art, the methodprovided by the invention is high in accuracy, high in operation speed, capable of realizing online monitoring of the cam crack fault, free of influence on the system structure of the high-voltage circuit breaker, free of motion interference risk, safe and reliable.

The invention belongs to the technical field of data processing, and discloses a terminal-based big data analysis processing method and system. The terminal-based big data analysis processing system comprises a data acquisition module, a data preprocessing module, an authority management module, a wireless signal transmission module, a central processing and control module, a data interaction module, a network server module, a security detection module, a warning module, a local storage module and a man-machine interaction module. According to the invention, data acquisition is carried out through the data acquisition module, the acquired data information is transmitted to the data analysis and processing module, and the security of the data is detected through the security detection module, so invasion of dangerous data can be effectively avoided; the configuration files are correspondingly set in advance according to the attributes of the to-be-processed data, the configuration files corresponding to the to-be-processed data with the same attributes are the same, and the corresponding relation between each step of the preprocessing process and the program is established, so that the workload and the error rate are reduced, and the analysis processing efficiency of the data is improved.

The invention relates to an application method of an artificial intelligence method in ecological geological environment bearing capacity evaluation. The method comprises the following steps: 1) acquiring resource supply side information; 2) removing impurities from the resource supply side information; 3) analyzing environmental accommodation information; 4) inputting social influence data; 5) analyzing social influence data; 6) environmental bearer analysis. According to the method, data acquisition in ecological geological environment bearing capacity evaluation is converted into cooperative operation of the unmanned aerial vehicle, the crawler-type unmanned vehicle and the satellite from original complex manual operation; an unmanned aerial vehicle, a crawler-type unmanned vehicle anda satellite jointly form a positioning type information acquisition, analysis, comparison and input system. The geological environment bearing capacity data can be collected, analyzed and screened very conveniently, so that complex manual operation is avoided, data loss caused by manual errors is eradicated, intelligent analysis and processing are achieved, and the analysis and processing efficiency of the geological environment bearing capacity is greatly improved.

The invention discloses an exhibit attention analysis system and analysis method based on emotion recognition, and the method comprises the steps: carrying out the preliminary recognition and delineation of a person when the person successively enters a preset range of a current exhibit, and carrying out the continuous tracking and recognition of the person; and judgment is continued in the tracking recognition process, and only when the face of the current person faces the target exhibit and the eye sight range of the person falls onto the target exhibit, the current person is judged to be aneffective target person. And finally, the human face emotion recognition unit performs real human face emotion recognition processing on the human face of the effective target person. In the processing process, the screening range is gradually reduced, the analysis and processing efficiency is remarkably improved, and compared with a traditional attention conclusion method obtained through analysis according to the number of people in a specific region of the booth, the judgment and recognition precision is higher, and the analyzed attention data of the exhibit is more real and reliable.

The invention provides a chemiluminescence immunity analyzer, belonging to the technical field of medical treatment equipment. The chemiluminescence immunity analyzer comprises an incubator module, a sample loading module, a magnetic separation module, a reading module, an electrical control module and at least two experimental units, wherein the two experimental units comprise reagent strip bins and reagent strips arranged in the reagent strip bins; and the experimental units are respectively in functional connection with the incubator module, the sample loading module, the magnetic separation module and the reading module. By arranging at least two experimental units, a single processing mode or a batch processing mode can be flexibly selected according to an analysis task, so that the analysis processing efficiency of the reagent strips is improved.