38results about How to "Improve analysis processing speed" patented technology

The invention discloses an endoscopic image processing method and system. The method comprises the following steps: carrying out pretreatment on a plurality of images collected by an endoscope; carrying out classification on the endoscope images obtained after pretreatment according to a missing item curve graph under an HSV space, and deleting images hard to recognize, wherein the images hard torecognize are fuzzy, and are of no effect for focus judgment, so that the images hard to recognize can be deleted to reduce follow-up image processing workload; calculating image similarity, and deleting redundancy images, the similarity of which is beyond the similarity threshold, wherein the redundancy images, the similarity of which is larger, are of no effect for focus judgment, so that by deleting the redundancy images and keeping effective images, follow-up image processing workload can be reduced, image analysis processing speed is accelerated and doctor's workload is relieved; and training a focus position classifier, and recognizing images having focus through the focus position classifier and marking focus positions in the images to assist doctors to read films. The method improves efficiency of the doctors and prevents the doctors from causing false inspection and missing inspection due to too much workload.

The invention proposes an object detection and location method and system based on depth data. The method comprises the steps of acquiring a depth map by using depth data acquired by a depth data sensor, constructing a background model of the depth map, acquiring an object foreground region under the perspective of the depth map, and carrying out initial segmentation of the object foreground region; mapping the object foreground region after the perspective of the depth map to an overhead perspective by using a projection matrix, and segmenting the object foreground region under the overhead perspective again according to the location difference of an object in the horizontal space; extracting depth features of the foreground region, training an object detection module, and carrying out detection positioning for adhered objects by using the object detection module; and carrying out three-dimensional coordinate location correlation tracking for detection positioning results on an overhead map, mapping the detection positioning results to an original depth map coordinate, and obtaining a final object detection result. The invention can complete accurate object detection and location in a quick and robust manner under severely blocked and changing illumination conditions.

The invention provides a flight data analytic recording device, system and method for a spacecraft. The flight data analytic recording device is mounted in the spacecraft and comprises a data acquisition module, a data storage and protection module, a rapid data analysis and interpretation module and a telemetering and location transmitting module, wherein the data acquisition module acquires multiple spacecraft data, sends the to-be-stored data to the data storage and protection module, and sends performance monitoring data to the rapid data analysis and interpretation module; the data storage and protection module compresses and stores the to-be-stored data; the rapid data analysis and interpretation module quickly interprets the performance monitoring data on line and outputs failure data to the telemetering and location transmitting module; and the telemetering and location transmitting module downloads the failure data and is simultaneously used for transmitting an emergency locating signal after the spacecraft is in contact with the ground. The on-orbit state of the spacecraft can be monitored, failures can be diagnosed, data are downloaded to the ground, and the state of thespacecraft can be analyzed when the spacecraft falls on Earth.

The invention discloses an intelligent data aggregation method based on relational online analytical processing, which includes the steps: (1) establishing an aggregation table and establishing the relation between the aggregation table and a dimension table and the relation between the aggregation table and a fact table; (2) analyzing the relation between the aggregation table and the dimension table and the relation between the aggregation table and the fact table to generate a data processing module for extracting, transforming and loading data; (3) starting the data processing module in a database at regular time to add data in the fact table into the aggregation table at regular time; and (4) judging whether the aggregation table or the fact table is queried according to information matching in a matching aggregation knowledge base when data are queried in a system. The method is high in query efficiency, small in occupied space and less in labor cost.

There is provided an information processing apparatus for providing encoding technology that enables data size reductions and analysis processing speed improvements even for data including elements having complex attribute values. The apparatus includes a file input unit that inputs a file including elements having a data stream of a predetermined format as an attribute value, a hierarchy information setting unit that sets hierarchy information indicating hierarchical positions for each of one or more delimiters included in the data stream, a structure information generating unit that generates structure information that defines mutual relations between hierarchy information, a designating unit that designates a region of a data stream of a predetermined format from the input file, and an encoding unit that detects delimiters from the designated region and, based on detected delimiters and structure information, encodes a data stream of the designated region based on a preset structured description language.

The invention discloses a medical data analysis system integrating structured image data. The system comprises an image information structuralization module, a fusion and preprocessing module and a machine learning algorithm module. According to the invention, aiming at the problem that medical image data and structured data in medical electronic medical records are difficult to fuse and analyze,a distributed data analysis platform implemented based on Spark and Hadoop employs an image information structuralization module for analyzing the medical image data through a computer vision technology and carrying out structuralization conversion on key information, integrates the structural data such as other diagnostic information and demographic information of the same patient in the electronic medical record system, and performs the missing value processing and classification data conversion through a data preprocessing module, performs the data analysis and result visualization in combination with a machine learning algorithm module, and achieves a high-efficiency medical data analysis system, thereby improving the utilization rate of various multi-dimensional medical data, and meeting different subject research requirements of researchers.

The invention belongs to the technical field of unmanned driving, and discloses an intelligent unmanned vehicle quantitative evaluation system. The intelligent unmanned vehicle quantitative evaluationsystem comprises a program detecting module, an electric equipment detecting module, a speed detecting module, a fault detecting module, a power consumption detecting module, a data processing module, a cloud service module, a quantitative evaluation module, a display module and a recorder module. Due to the cloud service module, the data analysis processing speed can be greatly increased, and the quantitative evaluation efficiency can be improved; meanwhile, due to the quantitative evaluation module, unmanned vehicles can be quantitatively evaluated more scientifically and accurately, the improvement direction can be found, rapid development for the unmanned vehicle technology is promoted, and therefore it is ensured that the unmanned vehicle can be safely driven under the real traffic environment.

The invention discloses a data processing system based on an Internet of things middleware and a method thereof, which relate to the data processing field. The invention comprises an intelligent terminal device, a middleware service component and a data analysis and processing platform. The intelligent terminal equipment is used for collecting various data; the intermediate service component includes protocol conversion layer and integrated information service layer. The protocol conversion layer is used for receiving the data collected by the intelligent terminal equipment and sending the control information to the collection module of the intelligent terminal; the protocol conversion layer is used for receiving the data collected by the intelligent terminal equipment and sending the control information to the collection module of the intelligent terminal. The integrated information service layer is used to logically configure different services and convert control flow channel and data flow channel. The data analysis and processing platform is used to analyze and display the data processed by the intermediate service components. The invention coordinates the communication and compatible control of data collection through the Internet of Things middleware, shields the difference of data collection under different application scenarios, and logically configures according to theservices required by the integrated information service layer above the middleware, thereby improving the flexibility of data processing.

An analysis processing system 100 includes: an object detection unit 101 which acquires an image taken with a camera 110, detects an object having a preset feature in the acquired image, and sets a predetermined range with reference to a position where the object is detected in the image, as an object region; and a new object region specification unit 102 which, on the basis of information of the object region, specifies the object region including an object newly appearing in a newly acquired image as a new object region, and sets a priority degree representing the degree of priority of execution of predetermined analysis processing on the new object region so as to be higher than the priority degree of the other object region.

The invention belongs to the technical field of oil well digitization, in particular relates to a method for judging oil well indicator diagram similarity. The method comprises the following steps: (1) a first oil well indicator diagram on every day is analyzed; if the similarity C of a second oil well indicator diagram and the first oil well indicator diagram is not lower than 99%, the analysis is not performed, and the analysis result of the first oil well indicator diagram is adopted to express; otherwise, the analysis is performed; (2) the similarity comparison is performed for a third oil well indicator diagram and the first and second oil well indicator diagrams; if the similarity C of the third oil well indicator diagram and one of the first and second oil well indicator diagrams is not lower than 99%, the analysis is not performed, and the analysis result of the similar oil well indicator diagram is adopted to express; otherwise, the analysis is performed; and (3) the analogy is performed in sequence by the process to finish the analysis of the Nth oil well indicator diagram. The method optimizes the data analysis through judging and acquiring the indicator diagram similarity, so that the unnecessary calculation and storage are reduced, the analysis time is saved, the computer operation load is reduced, the improvement of the data analysis processing speed and the enhancement of the database storage and query efficiency are facilitated.

The invention relates to a cold-chain logistics intelligent management method and system based on big data, and the method comprises the following steps: building a logistics management platform, and importing logistics vehicle information; the logistics management platform dividing the cold chain transportation order into a whole vehicle transportation order database and a carpooling transportation order database; matching the cold chain transportation order information in the whole vehicle transportation order database with logistics vehicles meeting the transportation requirements, and planning and generating a cold chain transportation plan; according to a preset order sharing rule, sharing the cold chain transportation orders in the car sharing transportation order database, matching logistics transportation vehicles for a plurality of cold chain transportation orders which are successfully shared, and planning and generating a cold chain transportation plan. The driver drives the logistics vehicle to transport the goods according to the cold chain transportation plan; and the logistics management platform monitors the whole process of completing the cold chain transportation plan by the logistics vehicle, and gives an alarm and feeds back when an abnormal condition occurs. The method has the effect of quickly completing vehicle-cargo matching to protect the cargo quality.

The invention discloses an intelligent behavior analysis method suitable for a narrow space. The method is used for identifying and analyzing a human behavior in a small space. The method comprises the following steps of (S1) acquiring a depth image in the narrow space by using a depth camera, (S2) dividing a human body into a plurality of body components based on the depth image, (S3) performingclassification and judgment and generating a human body skeleton system based on the body components, (S4) tracking and analyzing a motion track of the human skeleton system to identify the behavior state of a human body, and (S5) determining whether an early warning is generated based on an identification result. The intelligent behavior analysis method and device suitable for the narrow space ofthe invention can accurately identify and analyze the behavior states of multiple target characters in the narrow space, the recognition accuracy is high, the early warning can be completed at a device end after the identification is completed, the warning after the transmission to the background server for processing is not needed, and the timeliness is good.

The invention discloses a vibration table-based material damping coefficient measurement method and device, and relates to the field of material measurement. In order to achieve the purpose, a signalgenerator is utilized for generating steady-state frequency voltage, so that the vibration table has an exciting force, and the exciting force makes the material generate a dynamic displacement response curve under different loading forces, the material damping coefficient is worked out according to exciting signal information of a signal generator and dynamic response information of the material,and meanwhile by means of a designed measurement device, adjustment and pressure loading are facilitated. The device comprises an exciter, a beam applying pressure and a test piece clamped between anupper fixing pressing plate and a lower fixing pressing plate, a laser displacement sensor is installed on the upper fixing pressing plate; a pressure sensor is installed on the lower fixing pressingplate, the signal collected through a signal collector is fed back to a computer, and the damping coefficient of the material is resolved. Accordingly, not only is the measurement damping coefficientaccurate and the measurement stability is high, but also clamping is easy, the pressure is loaded conveniently, and the method and device are applicable to test analysis of various damping materials.

The invention relates to the technical field of haze monitoring. The big data processing method specifically comprises the following steps that S1, a haze monitor converts data into electric signals through a data transmission device and transmits the electric signals to a data receiving device, and the data receiving device receives data information and preliminarily collects the data information; S2, the data receiving device converts the data information into an electric signal and transmits the electric signal to the data collecting and processing device, and the data collecting and processing device performs preliminary analysis on the collected data and performs comparison and screening according to a preset data screening condition; And S3, after the data collection equipment carries out screening, separating invalid data, illegal data and valid data, and carrying out timely deleting and crushing processing on the invalid data and the illegal data. According to the big data processing method for realizing haze online monitoring, the data analysis error is reduced, the working difficulty of data analysis equipment is reduced, and the data analysis speed is increased.

The invention provides a real-time log clustering analysis method based on a reverse table. The method comprises the following specific steps: 1, initialization: defining a packaging structure of eachword in a log; 2, preprocessing the original log, including regularization replacement, sensitive word bank extraction, word segmentation by a word segmentation device, part-of-speech tagging and public variable extraction; and 3, obtaining a template, including log grouping, inverted table scoring, template obtaining, template display layer content updating and inverted table updating. The method has a real-time log clustering function, the universality of the template is improved, the logs can be processed in parallel, and the analysis and processing speed is increased.

The invention provides a method for collecting wrong information on hardware used for quickly and accurately collecting wrong information on hardware in a server. The method comprises the following steps: step 1: dividing nodes and configuring a node controller extension module; step 2: customizing a register list and a data structure by a user; step 3: setting a server interruption function; step 4: rebooting the server such that the server is in the standby state; step 5: collecting hardware information by nodes when hardware errors occur in the server. The method utilizes the expansion feature of a node controller of a high-end server. Therefore, the function of collecting and saving information on hardware state is fulfilled when a system errors. Without considering in-band system state, the function can read information directly by an out-band system. By making detailed analyses of read information, concrete positions can be located.

There is provided an information processing apparatus for providing encoding technology that enables data size reductions and analysis processing speed improvements even for data including elements having complex attribute values. The apparatus includes a file input unit that inputs a file including elements having a data stream of a predetermined format as an attribute value, a hierarchy information setting unit that sets hierarchy information indicating hierarchical positions for each of one or more delimiters included in the data stream, a structure information generating unit that generates structure information that defines mutual relations between hierarchy information, a designating unit that designates a region of a data stream of a predetermined format from the input file, and an encoding unit that detects delimiters from the designated region and, based on detected delimiters and structure information, encodes a data stream of the designated region based on a preset structured description language.

An analysis processing system 100 includes: an object detection unit 101 which acquires an image taken with a camera 110, detects an object having a preset feature in the acquired image, and sets a predetermined range with reference to a position where the object is detected in the image, as an object region; and a new object region specification unit 102 which, on the basis of information of the object region, specifies the object region including an object newly appearing in a newly acquired image as a new object region, and sets a priority degree representing the degree of priority of execution of predetermined analysis processing on the new object region so as to be higher than the priority degree of the other object region.

The present invention belongs to the technical field of bridge damping, and discloses a control system in a damping bridge. The control system comprises a camera monitoring module, a pressure detection module, a vibration detection module, a central control module, a cloud service module, a data assessment module, a data storage module, an alarm module and a display module. The control system employs the cloud service module to greatly improve the speed for analysis and processing of the bridge vibration monitoring data and improve the monitoring efficiency; and moreover, the control system employs the data assessment module to perform mathematical statistics of detection data and make scientific and accurate determination so as to avoid generation of a condition that data processing is not accurate caused by man-made subjective factors.

This invention discloses a multimedia-serviced metadata method and its mobile service terminal, and the invention belongs to the area of multimedia service technique. The metadata analysis-processing method comprises these steps: separate all the metadata contained in the multimedia and appoint index step for the separated metadata at the starting locations; distinguish the separated metadata and the indexes and store them in database for administrant; input the index info corresponding to the examining info when users linking to the terminal for multimedia service or inputting correlative info medium needed; merely analysis the metadata corresponding to the examined indexes; provide the analyzed metadata info to the users. This invention can shorten the treatment time by ignoring the needless data, can effectively employ the space-limited memory, and can advance analysis-processing speed and users' satisfaction.

The invention discloses a petroleum logging prediction method and prediction device based on big data, applied to a petroleum logging prediction system, and the method comprises the steps: obtaining petroleum logging big data; creating a prediction model based on the petroleum logging big data; acquiring oil and gas monitoring metadata; and processing the oil and gas monitoring metadata based on the prediction model to generate a corresponding oil well logging prediction result. By adopting a distributed data acquisition and data analysis mode, more accurate analysis can be performed on petroleum logging according to a large amount of data generated in a historical petroleum logging process, so that a more accurate petroleum logging prediction effect is realized, and the ever-increasing prediction accuracy requirement of people is met; and on the other hand, the petroleum logging data is predicted and analyzed by combining a physical model with a machine model, so that the data analysis and processing speed can be effectively increased, the prediction efficiency can be improved, and meanwhile, the prediction accuracy can be effectively improved based on training and analysis of big data.

The invention provides a cell data cache system and a cell data cache method. The cell data cache system comprises a verification unit, an analysis unit, a cell generation unit and a cache unit, wherein the verification unit is used for verifying whether preset information of a received request expression is correct or not, the analysis unit is used for analyzing the request expression to obtain a query model after the verification unit determines that the preset information of the request expression is correct, the cell generation unit is used for generating a cell according to attribute information of the query model, querying the value of the cell in a database by the query module, and obtaining cell data according to a cell model and the value of the cell, and the cache unit is used for caching the cell data according to attribute information of the cell. By adopting the technical scheme, the cell data generated in an on-line analysis process can be cached, so that the cell data can be directly acquired in the subsequent analysis process, and the condition that members are interacted with the database again for acquiring a cell to generate cell data is avoided, therefore the on-line analysis processing speed is improved.

The invention provides a system and method for transmitting data information through CID (caller identification). The system comprises a service center, a communication module, a terminal module and a data analysis processing module, wherein the service center is used for digitally encoding data information to be transmitted to obtain an encoded data set and transmitting the encoded data set in a dialing manner as a calling number; the communication module is used for realizing the transmission of the data set through a special communication line in a public mobile network with the service center; the terminal module is used for displaying the calling number of the data set through the CID of the communication module; and the data analysis processing module is used for carrying out table look-up analysis and processing on the received calling number to obtain original data information. According to the system for transmitting the data information through the CID, the one-to-one correspondence relationship is established between the calling number and the data information to be transmitted, the transmission of the data information can be quickly realized through the CID manner without answering the calls, the costs of products and use are low, no interference exists, the operation is simple and convenient, and the application range is wide.

The invention discloses a vehicle track smoothing method and device based on a millimeter-wave radar, belongs to the technical field of traffic systems and radio detection, and is used for solving the technical problem that an existing millimeter-wave radar cannot truly reflect a vehicle driving track under the influence of internal and external data noise and interference signals. The method comprises the following steps: carrying out noise reduction processing on traffic information to obtain preliminary filtering data; carrying out correction processing to obtain corrected target vehicle coordinates; constructing a one-dimensional plane vehicle motion state space model; carrying out two-dimensional conversion to obtain a two-dimensional plane vehicle motion state space model; performing updating prediction to obtain a target two-dimensional plane vehicle motion state space model; and through the preset trajectory smoothing gain matrix after the measurement error transformation function is substituted, correcting the target two-dimensional plane vehicle motion state space model after the measurement error transformation function is substituted to obtain a final state equation so as to realize smoothing processing of the vehicle motion trajectory detected by the millimeter wave radar.

The invention relates to a method for detecting gene editing efficiency and a gene editing mode and an application of the method, and belongs to the technical field of gene detection. The method comprises the following steps: S1, extracting genomic DNA of a sample, designing primers for a to-be-detected region, and amplifying the primers; S2, constructing a library to perform high-throughput sequencing, and filtering, splitting and splicing the data to obtain a sequence of the to-be-detected region; S3, comparing the sequence of the to-be-detected region with a genome reference sequence to obtain the gene editing efficiency and mode of each sample; and S4, performing significance analysis on the gene editing efficiency of processing group samples and control group samples, and outputting acorrected result. Compared with the prior art, the method has the advantages that the gene library construction process is simplified, the data analysis and processing speed is increased, the economy, sensitivity, specificity and accuracy of gene editing efficiency detection are improved, and multi-dimensional evaluation of a gene editing mode is also provided.

The invention discloses an intelligent behavior analysis method suitable for a narrow space. The method is used for identifying and analyzing a human behavior in a small space. The method comprises the following steps of (S1) acquiring a depth image in the narrow space by using a depth camera, (S2) dividing a human body into a plurality of body components based on the depth image, (S3) performingclassification and judgment and generating a human body skeleton system based on the body components, (S4) tracking and analyzing a motion track of the human skeleton system to identify the behavior state of a human body, and (S5) determining whether an early warning is generated based on an identification result. The intelligent behavior analysis method and device suitable for the narrow space ofthe invention can accurately identify and analyze the behavior states of multiple target characters in the narrow space, the recognition accuracy is high, the early warning can be completed at a device end after the identification is completed, the warning after the transmission to the background server for processing is not needed, and the timeliness is good.

The present invention proposes a target detection and positioning method and system based on depth data, including: using the depth data collected by a depth data sensor to obtain a depth map, constructing a background model of the depth map, and obtaining the target foreground area under the perspective of the depth map, Carry out preliminary segmentation of the target foreground area; use the projection matrix to map the initially segmented target foreground area to the top-view perspective, and re-segment the target foreground area under the top-view perspective according to the position difference of the target in the horizontal space; extract the foreground area Depth features and training to get the target detection model, use the target detection model to detect and locate the sticky target; carry out the associated tracking of the three-dimensional coordinate position on the detection and positioning results on the top view, and then map the detection and positioning results to the coordinates of the original depth map, Get the final target detection result. The invention can quickly and robustly complete the accurate detection and positioning of the target in the case of severe occlusion and illumination changes.

The invention belongs to the technical field of oil well digitization, in particular relates to a method for judging oil well indicator diagram similarity. The method comprises the following steps: (1) a first oil well indicator diagram on every day is analyzed; if the similarity C of a second oil well indicator diagram and the first oil well indicator diagram is not lower than 99%, the analysis is not performed, and the analysis result of the first oil well indicator diagram is adopted to express; otherwise, the analysis is performed; (2) the similarity comparison is performed for a third oil well indicator diagram and the first and second oil well indicator diagrams; if the similarity C of the third oil well indicator diagram and one of the first and second oil well indicator diagrams is not lower than 99%, the analysis is not performed, and the analysis result of the similar oil well indicator diagram is adopted to express; otherwise, the analysis is performed; and (3) the analogy is performed in sequence by the process to finish the analysis of the Nth oil well indicator diagram. The method optimizes the data analysis through judging and acquiring the indicator diagram similarity, so that the unnecessary calculation and storage are reduced, the analysis time is saved, the computer operation load is reduced, the improvement of the data analysis processing speed and the enhancement of the database storage and query efficiency are facilitated.

The invention discloses an environment monitoring method. The environment monitoring method comprises the following steps: acquiring a source code sent by an environment sensor arranged in an indoor working environment; capturing feature data according to a preset feature library and the source code; filtering out abnormal data according to a preset filtering model and the feature data; and sending the feature data and the abnormal data to a terminal. The invention also discloses an environment monitoring system, a terminal and a computer readable storage medium. The intelligent degree of environment monitoring is improved.

The invention provides a method for realizing synchronous work of infrared scanning and a camera, and a system thereof. The method comprises the steps of: adopting field-scanning output signals of thecamera as triggering signals of an infrared scanning unit; starting the camera and the infrared scanning unit simultaneously so as to realize the synchronization of shooting touch point images by thecamera and calculating touch point position by the infrared scanning unit; and finally determining the precise position of the touch point by a main micro processor combined with the information thereof. The system comprises the camera, a buffer, the main micro processor and a computer which are connected in sequence; one end of the infrared scanning unit is connected with a field scanning outputend of the camera and the other end is connected with the main micro processor. The invention excellently realizes the synchronous work of infrared scanning and camera; the accuracy of judging touchpoint position is high; and system response is also quick.