58results about How to "Rapid Analytical Processing" patented technology

The invention discloses a method, a device and a system for advertisement scheduling based on a mobile network. The method includes the steps that a request for an application program of a mobile terminal is received and comprises user information which comprises a mobile user directory number (MDN); user interest group data generated by historical access records of the mobile terminal are obtained; advertisements are matched according to the user information and the user interest group data to generate an alternative advertisement list sorted according to correlation; a target advertisement is screened out from the alternative advertisement list according to advertisement screening conditions; and the target advertisement is sent to the mobile terminal so as to enable the mobile terminal to display the target advertisement. Through application of the method, the device and the system, accurate scheduling of advertisements on a mobile advertisement platform can be achieved, and a purpose of accurate propelling movement is realized.

The invention provides an image computer visualized marking method. According to the method, a computer visual recognition-based specific mark can be generated when an image is obtained, formed or processed, and can be embedded in the image; the specific mark can adopt standard visual format forms such as a three-dimensional code and a code; and information included in the specific mark can be preset or immediately obtained, for example, the information is obtained from an associated clock, a function system and the like. Through slight modification, the method can be used for the recognizable marking of non-images such as sound and the like; and the specific mark is replaced by a corresponding recognizable specific mark. The recognizable specific mar of the marking method is replaced by a digital mark which can be read on the basis of a computer, and by adoption of an embedding manner such as digital watermark insertion, readable marking can be realized. The invention furthermore discloses equipment supporting the marking method and an associated application method. According to the method, the rapid extraction, analysis and retrieval of information included in image and the like can be facilitated, the repeated analysis and recognition are avoided to reduce the expenditure, and the evidentiary effect can be strengthened.

The invention relates to a testing device and a testing method for a forming limit diagram under a high-temperature constant-strain rate condition. The device comprises a sample deformation pressure device, a real-time strain measurement device and a controller; based on a testing method for the forming limit diagram under the high-temperature constant-strain rate condition built by the testing device, the constancy of the strain rate of a sample in a central point is realized under the condition of constant forming temperature, and a forming limit diagram under the obtained slab isothermal condition contains a forming limit curve under a constant-strain rate condition in a certain strain rate range. The testing device and the testing method have the advantages of high control accuracy and accuracy in measurement, and are significant in theoretical research and practical application of light alloys and high-strength steel warm-hot forming.

The invention relates to the monitoring field, in particular to an intelligent alarm device and an intelligent alarm method. The intelligent alarm device comprises an event analysis tree module, an accident root module, an experience knowledge base module and an alarm sending module. By adopting the event analysis tree module to inform the alarm event to be analyzed and treated in an alarm event analysis tree mode, the intelligent alarm device and the intelligent alarm method which are provided by the invention can rapidly analyze and treat the alarm event, automatically position and find an event root and send an analysis result to an alarm receiver by a customized alarm sending strategy. Moreover, the invention has the functions of analyzing and filtering alarm events, filters false alarm events to prevent false and error alarm events and can improve the efficiency and the accuracy for treating the alarm events and lower the workload of alarm analysis.

The invention discloses a weld image feature point extraction method based on a laser vision sensor. The method searches for a first gray-scale non-zero point from different directions and thus can quickly search for feature points of a weld image. Especially when the image has an inclination angle, the method uses a rotation algorithm to rotate a laser strip image to the horizontal direction, so that a feature point C can be quickly found. A window searching algorithm is designed to quickly extract a feature point B and a feature point D. With the method, the robustness of system tracking can be improved, and the resistance to interference is high. The method can also be improved to be applied to a V-shaped groove with a gap or a butt weld.

The invention provides a case intelligent pushing method and system based on case semantic analysis, and the method comprises the following steps: S1, carrying out the preprocessing of a case description text of a case, which comprises word segmentation, part-of-speech tagging, and stop word removal; S2, extracting important features of the case according to the preprocessed case description textto form a feature vector of the case; And S3, associating related cases according to the feature vectors, obtaining the comprehensive similarity between the case and each related case by adopting a case feature similarity calculation method, sorting the related cases according to the similarity, and pushing the cases with high similarity. Through the method and the system provided by the invention, the workload of case analysis and manual processing can be reduced, the working cost and the time cost of police officers are greatly reduced, and the case solving efficiency is improved.

The invention discloses a detecting and testing device and method for an inverter or a charger. The detecting and testing device comprises a power supply host, a detection system and a module to be detected, and is characterized in that the module to be detected comprises a three-phase inverter detection module I for simulating a dining car, or a three-phase inverter detection module II for simulating a local train, or a detection module III for testing a uniform single-phase inverter, a uniform charger, a non-uniform single-phase inverter and a non-uniform charger; the power supply host and the detection system 2 are electrically connected, the power supply host comprises a DC power supply generation unit arranged at the upper layer, a simulated neutral-section passing unit arranged at the middle layer and a monitoring unit arranged at the lower layer; and the detection system comprises a chassis assembly with a box-type structure, a control panel arranged at the front end face of the chassis assembly and a detection unit installed inside the chassis assembly. The detecting and testing device has the characteristics of simple structure, convenient operation, stable quality, accurate judgment, wide test object, high adaptability and the like.

The invention discloses middleware applied to a medical behavior supervisory platform, and relates to the field of medical behavior supervision. A data extraction conversion assembly (1) of the middleware applied to the medical behavior supervisory platform and a rule engine analysis assembly (2) are connected. The rule engine analysis assembly (2) and an information ordering and delivering assembly (3) are connected. The middleware applied to the medical behavior supervisory platform has high application configuration flexibility, data analytical ability of an analysis engine based on event listening is high, rapid analysis and processing of big data can be managed, and flexible ordering and efficient delivering of information are achieved.

This invention discloses a method for reducing power loss of adaptive power feedback by a mobile communication terminal relating to chip adopting digital signals, in which, a supply management circuit provides a relative stable supply to all circuits of a mobile terminal device at its output end to measure the change at this position, and signals entering into RF power amplification can measure envelopes of power of RF power amplification and carry out data sample at the input of the RF amplification and set a final sample point at the output end of the RF amplification after controlling power loss of the mobile terminal circuit based on the test result to the two points to realize test and analysis to the related parameters of mobile terminals and simplify control of output by continuously optimized executing forms.

The invention provides a safety alarm method and system based on image recognition, and the method comprises the steps: obtaining the personnel distribution state information of a target place through the processing of a place environment image obtained through the photographing of the target place, determining a key monitoring region corresponding to the target place, and obtaining a corresponding image picture through extraction; recognizing the returned image picture to obtain the corresponding character identity information and / or character action posture information, so the safety state of the key monitoring area is judged, the alarm operation is performed, and the shot and monitored image can be automatically, quickly and accurately analyzed and processed; in this way, the personnel existence condition of the corresponding position area is obtained, whether potential safety hazards exist in the position area or not is determined, and therefore, alarm operation is conducted on the position area in a targeted mode to effectively avoid safety accidents.

The invention discloses a visual automatic detection system for a cutter and an operation method thereof. The visual automatic detection system comprises a fixed frame, wherein the top of the fixed frame is fixedly connected with a movable rod; the surface of the movable rod is slidably connected with an upper limiting frame; the left side of the fixed frame is fixedly connected with a lower limiting frame; the surfaces of the upper limiting frame and the lower limiting frame abut against the surface of a machine tool; and the surface of the upper limiting frame is in threaded connection witha first fastening bolt. The invention relates to the technical field of cutter detection. According to the visual automatic detection system for the cutter and the operation method thereof, the levelness of the system is judged through a first level gauge and a second level gauge, the first fastening bolt and a second fastening bolt are adjusted through screwing or loosening, an adjusting rod is driven to rotate on the fixed frame by rotating the adjusting rod, an adjusting block is driven to move, the levelness of the system is adjusted under the limiting of a top plate, the detection systemcan be kept in a horizontal state through fine adjustment at multiple positions, the detection precision is higher, the operation is convenient, and the adjustment is simple.

The invention relates to the technical field of vehicle driving assistance, in particular to an advanced driving-assistance function upgrading system. The advanced driving-assistance function upgrading system comprises a vehicle signal interface, a data conversion module, a central processing module, an advanced driving assistance function interface, a field-programmable gate array picture processing module, a display screen video interface, and a vehicle main engine video interface. By using the high-speed central processing module and the field-programmable gate array picture processing module to conduct quick analysis processing on CAN bus data and picture-text signals and picture signals respectively, the picture delay can be effectively lowered, picture jamming, stopping and flickering are relieved, and the user experience is improved.

The invention discloses an automatic detection method for mycoplasma culture, identification, counting and drug sensitivity results. The method comprises the following steps: based on a visual image acquisition system and corresponding automatic analysis software, converting an optical signal of an image into a digital signal by using the visual image acquisition system; displaying images of mycoplasma culture, identification, counting and drug sensitivity results on a computer screen; allowing the automatic analysis software to automatically analyze permutation and combination of different colors according to preset conditions with the colors of the images and color collocation and combination as indexes; and displaying qualitative identification results of ureaplasma (Uu) and / or Mycoplasma hominis (Mh), semi-quantitative counting results of Uu and / or Mh and drug sensitive test results of antibiotics. The method provided by the invention can overcome problems in automatic monitoring of mycoplasma culture, identification, counting and drug sensitivity results, improves automatic storage of original pictorial information so as to facilitate retrospective query and check of an original result database and can rapidly, timely and accurately analyze and process large-batch original result data.

The invention provides an audio-visual program monitoring system based on the Internet, which comprises a data acquisition layer, a comprehensive analysis layer and a data display layer. The data acquisition layer is used for collecting audio-visual information of the Internet. The audio-visual information includes: audio-visual information of the Internet, audio-visual information of micro blog,audio-visual information of micro message, network drama and micro film. The comprehensive analysis layer is used for performing violation warning analysis on the audio-visual information collected bythe data acquisition layer to generate violation warning analysis results; The analysis and early warning processing includes: text content analysis, video and audio content analysis, public opinioncontent analysis; the data presentation layer is used for performing statistical analysis on the violation early warning analysis results of the comprehensive analysis layer, and generating statistical reports and statistical views. Through this system, the massive audio-visual programs on the Internet can be analyzed and processed quickly, and the overall supervision of the audio-visual programson the Internet can be realized.

The invention relates to a deep-sea drilling gas cut detection signal processing method and a processing circuit. The method comprises the following steps: (1) a to-be-processed random signal amplitude measurement range is equally divided into m layers of amplitude intervals, and m reference levels are set according to the to-be-processed random signal amplitude measurement range and the m layers of amplitude intervals and are correspondingly offered to m stages of parallel comparators; (2) the m stages of parallel comparators receive the m reference levels and a to-be-detected signal, and output m comparison output signals; (3) exclusive OR processing is carried out on two adjacent comparison output signals to get a hierarchical signal containing the time width for the amplitude of the to-be-detected signal falling into each layer of amplitude interval and the information about the number of occurrences of the time width, and the time value for the amplitude of the to-be-detected signal falling into each amplitude interval within an observation time value and the value of total number of occurrences are acquired through statistical analysis and uploaded to a computer; and (4) the computer draws an average speed distribution histogram and an amplitude probability distribution diagram according to the time value for the amplitude of the to-be-detected signal falling into each amplitude interval within an observation time value and the value of total number of occurrences. Through the method and the circuit, fast and real-time analytic processing of random signals is realized.

The invention discloses an analysis storage platform based on big data of the Internet of Things, which comprises a protective box, wherein the side surface of the protective box is fixedly provided with a handle, the side surface of the protective box is provided with through holes at the positions close to the front of the handle, and the front surface of the protective box is provided with a longitudinal sliding slot. In the invention, the setting of the protective box and protective devices can enable the storage platform to be stored, thereby facilitating a user to carry and transport, avoiding surface damages caused by additional collisions, and having a certain protective effect; the setting of a truss and a supporting rod facilitates the user to adjust the position of the storage platform, thereby being convenient for the user to operate; and the setting of two shifting mechanisms facilitates the user to open a sliding cover, and the opened sliding cover provides an additionalsupport area for people, thereby being convenient for the user to place items. The analysis storage platform can perform analysis and processing on mass data resources in the cloud computing network environment quickly and efficiently and is convenient for popularization.

The invention discloses a macro photographic device which comprises a holder assembly, a CMOS lens assembly and a support. The holder assembly comprises a base, a holder capable of rotating by 360 degrees and a holder control system. Light supplementing devices are arranged on the two sides of the holder. Each light supplementing device comprises a fixing block and an arc-shaped plate provided with an LED lamp. The CMOS lens assembly is mounted on the holder and comprises an aperture and an aperture automatic adjusting device which are matched with each other, a CMOS image sensor, an image processing system, a lens central control system and a lens base; the image processing system comprises a data storage module, a data receiving module, a data sending module, a data processing module and a convolutional neural network module; the lens base is used for fixing the aperture, the aperture automatic adjusting equipment, the CMOS image sensor and the image processing system; and the bottom of the lens base is connected with the holder. The device is suitable for carrying out macro shooting on a static or dynamic object, and the best shooting effect can be obtained.

The invention discloses a railway signal waveform recording / display system based on Android platform. The railway signal waveform recording / display system comprises a UART (Universal Asynchronous Receiver / Transmitter) data frame reorganization algorithm module, an original waveform display algorithm module, a waveform amplitude display algorithm module and a waveform frequency display algorithm module; due to the adoption of a portable detection device installed with the system, signals in a fault area ca be detected quickly, and looked up and diagnosed, and signal failure can be analyzed and processed conveniently and quickly.

The invention discloses an intelligent customer service demand analysis system based on a cloud platform and an application method thereof. The system comprises a cloud platform, a remote monitoring terminal, a plurality of clients, a system server and a server end, the server end accesses the system server to obtain the monitoring data information and remotely monitors the real-time working stateof each station of the power grid; and the server end sends a control signal to the system server according to the working state of each station of the power grid, the system server analyzes the control signal and sends the control signal to the corresponding remote monitoring terminal through the cloud platform, and the remote monitoring terminal controls the working state of the corresponding power grid station according to the control signal. According to the invention, big data acquisition, overall planning and storage of the cloud platform are utilized, information sources are centralized and timely, manpower and material resources are saved, reasonable and rapid analysis and processing are carried out through the system server, an electric power department can carry out rapid electric power distribution network operation and maintenance, hidden service dangers are timely eliminated, and the customer satisfaction is improved.

The invention is suitable for the field of message processing technology improvement, and provides an agricultural Internet of Things message processing system based on edge computing, which comprises a node, an edge gateway and a server, the node is in communication connection with the edge gateway, the edge gateway is in communication connection with the server, and the server is used for training historical data and sending the trained historical data to the edge gateway. A sensor data prediction model and a pest and disease damage target detection model are generated, the two generated models are published to the edge gateway, so that the edge gateway has data processing capability, and the nodes perform data acquisition on crops and transmit the acquired output communication to the edge gateway or a server. The data from the nodes are analyzed and processed by using the computing power of the edge gateway and the server, and the message allocation strategy is completed in combination with the message queue, so that the pressure of the server is greatly reduced, and the advantage of cloud-side cooperation can be fully utilized.

The invention discloses a dam strong vibration safety monitoring and pre-warning system based on Internet remote management. The system comprises dam strong vibration monitoring equipment, an acquisition server for receiving dam strong vibration monitoring data and a remote management server. The dam strong vibration monitoring equipment comprises a plurality of vibration pickups and a multichannel dynamic data acquisition instrument. Dam strong vibration monitoring system software (including dam strong vibration acquisition software, dam strong vibration analysis software and dam strong vibration safety evaluation software), equipment end management system software and a software interface of a dam safety monitoring system are run on the acquisition server. Remote management system software is run on the remote management server. According to the dam strong vibration safety monitoring and the pre-warning system based on the Internet remote management, fast analysis, evaluation and alarm are conducted on dam post-seismic safety through a dam strong vibration response, support for dam earthquake resistance and disaster reduction is provided, and remote management, and unattended operation and database management are achieved.

The invention discloses an analysis and storage platform based on Internet of Things big data. The platform comprises a protective box, wherein a handle is fixedly mounted on a side surface of the protection box, a through hole is formed in the side surface, close to the front of the handle, of the protection box, and a longitudinal chute is arranged on a front surface of the protection box. Through arrangement of the protection box and a protection device, the storage platform can be stored, carrying by a user are facilitated, surface damage caused by additional collision is avoided, and thecertain protection effect is achieved; due to the arrangement of a truss and a supporting rod, a user can conveniently adjust the position of the storage platform, and operation of the user is facilitated, through arrangement of two toggle mechanisms, the user can open a sliding cover conveniently, the opened sliding cover provides an extra supporting area for people, the user can place articles conveniently, and the analysis and storage platform can analyze and process massive data resources in a cloud computing network environment quickly and efficiently and is convenient to popularize.

The invention provides a grid point data processing method which comprises the following steps: creating a database table in a database according to a preset lattice point data structure, wherein the database table comprises a grid point data field and at least one attribute field; reading multiple groups of to-be-processed grid point data and at least one piece of attribute information corresponding to each group of grid point data from the data set; for each group of grid point data, packaging the grid point data into a grid point data object according to a preset grid point data object structure; and for each group of grid point data, writing the grid point data object into a grid point data field of a data record of the database table, and respectively writing the at least one piece of attribute information into an attribute field corresponding to the at least one piece of attribute information in the data record. Corresponding to the grid point data processing method, the invention further provides a grid point data processing device, electronic equipment and a computer readable storage medium.

The invention relates to the technical field of finance, and discloses a small and micro financial risk control system based on big data and artificial intelligence, which comprises a data collection unit, a data analysis unit, a risk analysis unit, a processor, a communication unit and a cloud database. According to the small and micro financial risk control system based on big data and artificial intelligence, risk items are classified in the risk management server through a keyword extraction and comparison method, and the classified risk items are evaluated in the risk evaluation server, so that the risk management and control efficiency can be improved, the risk can be automatically managed and controlled in real time, so occurrence of major risk items is avoided. The information can be quickly analyzed and processed through a real-time calculation engine, and then the obtained data is compared, so that the precedence of the result is improved, the risk control rule can be timely improved and updated, the risk control of the transaction process is more comprehensive, and human resources are saved.

The invention discloses an analysis storage platform based on big data of the Internet of Things, which comprises a protective box, wherein the side surface of the protective box is fixedly provided with a handle, the side surface of the protective box is provided with through holes at the positions close to the front of the handle, and the front surface of the protective box is provided with a longitudinal sliding slot. In the invention, the setting of the protective box and protective devices can enable the storage platform to be stored, thereby facilitating a user to carry and transport, avoiding surface damages caused by additional collisions, and having a certain protective effect; the setting of a truss and a supporting rod facilitates the user to adjust the position of the storage platform, thereby being convenient for the user to operate; and the setting of two shifting mechanisms facilitates the user to open a sliding cover, and the opened sliding cover provides an additionalsupport area for people, thereby being convenient for the user to place items. The analysis storage platform can perform analysis and processing on mass data resources in the cloud computing network environment quickly and efficiently and is convenient for popularization.

The invention provides a data analysis device which comprises an input device, a data verification device, a data processing device, a local memory, a display, a data backup device, a cloud memory and a power supply device. The input device comprises a two-dimensional code scanner and a keyboard, an end of the input device is connected with one end of the data verification device, the other end of the data verification device is connected with one end of the data processing device, and the display is connected with the input device, the data verification device and the data processing device; the other end of the data processing device is connected with one end of the local memory, and the other end of the local memory is connected with the data backup device and the cloud memory; the power supply device is connected with the data processing device. The data analysis device has the advantages that data can be quickly analyzed and processed by the aid of miniaturized and modularized structures, and accordingly the data analysis device is low in cost and high in data safety.

The invention relates to the urban greening management technology field and discloses an urban decoration intelligent ecological management system. The system comprises a monitoring module, a center processing module and an execution module. The monitoring module includes a soil humidity monitoring unit, a weather monitoring unit, an air quality monitoring unit, a plant growth vigor monitoring unit, a weed monitoring unit, and a disease monitoring unit. The soil humidity monitoring unit includes a soil humidity sensor, an output end of the soil humidity sensor is connected to a humidity information collector through an electrical signal, and the humidity information collector is connected with a soil information wireless transmitter through the electrical signal. The weather monitoring unit includes a rainfall prediction unit and a rainfall amount detection unit, and the rainfall prediction unit and the rainfall detection unit are connected to a weather information collection unit. Byusing the urban decoration intelligent ecological management system, problems can be rapidly found and solved, management efficiency is effectively improved and management cost is effectively reduced.

The invention discloses an enterprise operation monitoring system. The enterprise operation monitoring system comprises a client subsystem used for inputting data and a server subsystem connected withthe client subsystem through a network. The monitoring system adopts a spring security framework and a poi open source code function library; The client subsystem adopts a vue framework and an echarts icon library; the server subsystem adopts a springboot and mybatis framework and comprises an access data module, a data analysis module connected with the access data module through a program and an exception handling module connected with the access data module and the data analysis module through programs. The system has the capabilities of processing data access of different service systemsand solving the problem of sharing of the same state among components, and has higher data security guarantee. Through rapid analysis and processing of data and visual chart display, power grid enterprise management personnel can be assisted to rapidly and accurately determine a current enterprise operation state globally so as to carry out scientific decision making.

The invention disclose an intelligent monitoring system for intelligent power utilization. Compared with the prior art, the intelligent monitoring system for intelligent power utilization comprises apower operation and maintenance cloud platform, and a monitoring main server which is connected with the electric power operation and maintenance cloud platform. The monitoring main server comprises aWeb server connected with the electric power operation and maintenance cloud platform; an application server and a database server which are connected with the Web server; a monitoring terminal integrated server which is in communication connection with the monitoring server; an information data transmission mechanism which is arranged between the monitoring terminal integrated server and the monitoring main server; and a monitoring output terminal which is in communication connection with the Web server. The monitoring terminal integrated server comprises an integrated controller; a monitoring information data acquisition module which is connected with the integrated control controller; and a monitoring terminal which is connected with the monitoring information data acquisition module.Compared with the prior art, the monitoring information data can be accurately collected, the monitoring information data can be transmitted in real time, and the power utilization safety is improved.

The invention discloses a game data intelligent analysis method. The game data intelligent analysis method comprises the following steps of: receiving, in real time, data fed back from a client and caching the data in a Redis first-in first-out queue; extracting data from the Redis first-in first-out queue; validating the extracted data; according to a preset statistical target, deduplicating the data; counting each user in the data as a vector, and carrying out difference statistical processing of all users' individual information; extracting user behavior characteristics, carrying out difference detection and calculating by using a mutual information entropy; calculating a joint entropy of two events; calculating mutual information MI; dividing a behavior difference value by the MI to obtain a new difference value; calculating to obtain an entropy HIi of the i-th behavior and an entropy of the i-1th behavior, solving a joint distribution rate of the two entropys, and solving an MIi Value to obtain a difference value Di; analyzing the difference value Di and including the analysis results into a statistical result database. The game data intelligent analysis method of the invention makes it possible to conduct fast analysis and processing of data and achieves high practicability.