32results about How to "Meet analysis" patented technology

The invention relates to an intelligent power distribution big data application system which comprises a data acquisition module, a data integration cleaning module, a public service module, a data analysis application module and an application display module. The data acquisition module is used for providing a standardized data interface and performing standardized access of multi-source and heterogeneous data sources. The data integration cleaning module is used for combining, associating, de-weighting and transposing data accessed to the data acquisition module in lines. The public service module uses the data processed by the data integration cleaning module. The data analysis application module builds an analysis algorithm library, analyzes power utilization behaviors of a user, builds an application model and an algorithm library and builds a power-saving application, a power utilization forecasting application, a power grid optimization application and a peak-alternation regulation application. The application display module displays data of results of the data analysis application module. Compared with the prior art, the system has the advantages that the data are cleaned, migrated on a distributed platform and integrated in a standardized manner, a user behavior analysis and power utilization forecasting application module is developed, intelligent power distribution and utilization level is improved and the like.

The invention relates to a GPU-based mass-multimedia-data-oriented MapReduce platform comprising a platform driver and an operating sub-module. The platform driver divides an image/video retrieval task into a plurality of Map tasks by a MapReduce calculation model. Data of Map tasks is stored in an HDFS (hadoop distributed file system). When each Map task starts, task data are acquired by a file list transmitted in by the platform driver, a specific calculation task is assigned to the operating sub-module for calculation, a task scheduler in the operating sub-module assigns the task to the GPU or CPU for processing, calculation-required data is acquired through a local library libhdfs.so of the HDFS during the calculation process, and the data calculated is directly written into the HDFS. Compared to the prior art, the GPU-based mass-multimedia-data-oriented MapReduce platform has the advantages that mass multimedia data can be processed under high performance, calculation speed is greatly increased and calculation precision can also be guaranteed.

The invention provides an enterprise knowledge graph construction method and device. The method comprises the following steps: acquiring structured Internet of Things service data of a plurality of enterprises; extracting structured Internet of Things business data knowledge of a plurality of enterprises to obtain graph data; obtaining a predefined graph framework model, and storing the graph datain the graph framework model to obtain an enterprise knowledge graph which is used for representing the Internet of Things business condition of each enterprise. By extracting structured Internet ofThings service data knowledge of a plurality of enterprises to obtain atlas data, the graph data is stored in the predefined graph framework model to obtain the enterprise knowledge graph, a large amount of data and complex and diverse association analysis can be processed, the specific situation of the Internet of Things service of each enterprise can be visually and stereoscopically reflected inthe form of the graph, and the analysis and management requirements of various role relationships of each enterprise are met.

The invention discloses an online virtual shoe trying method. The method includes the following steps that: S002, the foot image of a user in a case where the user wears space-marking socks is acquired, and the foot image is uploaded to a remote data processor through a user terminal; S004, a sales terminal compares the user's foot image with a preset three-dimensional foot model and then generates a user's foot three-dimensional model; S006, the sales terminal acquires the user's foot size from the user's foot three-dimensional model, and matches the feet of the user with an appropriate shoesize; S008, the sales terminal selects a pre-stored three-dimensional shoe model according to the shoe size, projects the pre-stored three-dimensional shoe model onto the user's foot three-dimensionalmodel and generates a three-dimensional shoe trying model; and S010, the sales terminal sends the image of the three-dimensional shoe trying model to a server, and the server sends the image of the three-dimensional shoe trying model and the shoe size to the user terminal. With the online virtual shoe trying method of the invention adopted, a consumer can virtually try shoes online through a virtual reality technology before buying the shoes, and therefore, the fitting rate of the online shoe buying of the consumer can be improved, and the return rate of the shoes can be decreased.

The invention provides a log detection method based on a weight sharing and adjacent upper and lower feature fusion model, and belongs to the field of machine vision and deep learning. According to the method, a pooling feature pyramid is constructed to realize weight sharing features, and feature fusion from top to bottom is simplified into feature fusion of two adjacent layers, so that the complexity of model fusion and the transmission of redundant information are reduced; and the two improved methods enable the precision of a detector to be obviously improved, especially a self-made log data set. Ghe characteristics of dense small targets and data lack are fully considered, the robustness and the training speed of the model are improved through feature fusion and weight sharing, and amore reliable analysis data source is provided in practical application.

The invention provides a novel anti-virus intelligent helmet, relates to the technical field of sanitation and health, and solves the technical problems of poor air permeability, poor leakproofness and poor comfort of an anti-virus medical mask. The helmet comprises a full-helmet type helmet body, a transparent mask, an air filtering assembly, a neck sealing assembly, an intelligent electronic assembly and a reserved external interface, the transparent mask is arranged on the front side of the helmet body in an openable manner; the air filtering assembly is arranged on the rear side of the helmet body; the neck sealing assembly is arranged at the lower part of the helmet body; the intelligent electronic assembly is arranged on the helmet body; the reserved external interface is arranged onthe front side and/or the rear side of the helmet body; after the helmet body is worn, the top and/or the side portion of the inner cavity of the helmet body are/is provided with a channel for air circulation so that air in the helmet can flow front and back. Spreading of air droplets of viruses can be effectively blocked, the same protection effect of the medical mask is achieved, a wearer cannot breathe difficultly, and the medical mask is comfortable to wear.

The invention aims at providing a multi-view ultrasonic flaw detection system and a detection method for steel rail weld joints. The multi-view ultrasonic flaw detection system specifically comprises a scanning system, an ultrasonic system and an imaging system, wherein the scanning system is connected with the ultrasonic system to form an ultrasonic scanning system; the imaging system comprises a host, an IO control panel, a power module and a display module; the host is connected with the IO control panel and the display module; the power module is used for supplying power for the imaging system; the host is connected with the ultrasonic system. The multi-view ultrasonic flaw detection system has a perfect file management function, is capable of satisfying the functions of data detection, image storage, image retrieval, image copying, image analysis and the like, has a warning function, is capable of helping the users to find the defects preferably, has adaptability and is capable of adapting to different rail types on the scenes.

The invention provides a glass rod for testing with the function of testing temperature, humidity and pH value. The invention can use the glass rod in the chemical test, and at the same time, can grasp the relative temperature, pH value and environment in the chemical test process. Humidity and other related conditions enable the process of chemical experiments and scientific research to obtain accurate data, better meet the requirements of analysis and experimental work, and facilitate the smooth development of experimental research.

The invention relates to a data information management system and a method thereof. The system comprising a data acquisition terminal, an information service control terminal, a cloud computing data processing server, a big data analysis server, a data detection server, an emergency interruption server, a keyword retrieval server, a network communication protocol management server, a network security supervision server, a coding and decoding server and a relay server. The invention discloses a cross-domain access server and a communication gateway. The use method comprises three steps of system prefabrication, data acquisition and data management. On one hand, the requirements of data acquisition, analysis and management operation in various complex physical environments and network environments can be effectively met; and on the other hand, the flexibility and safety of data processing communication and data processing operation are good, and the occupation amount of computer system hardware resources in data management operation is effectively reduced, so that the data processing working efficiency and quality are greatly improved, and the cost of data processing management operation is effectively reduced.

The invention discloses a method for inverting a logging pore structure of sand and mudstone, and the method is characterized by comprising the following steps of determining a rock physical model ofthe sand and mudstone; classifying the pores according to the characteristics of the pore structure of the sand and mudstone, and determining the pore structure of the sand and mudstone in combinationwith the logging data. The method provided by the invention can fully combine the actual geological characteristics of the sand and mudstone to fully consider mutual influence among respective poresby using the Mori-Tanaka equivalent medium model suitable for the lithology of the sand and mudstone, can invert the pore structure of the sand and mudstone simply and effectively with high precisionof results, and can carry out shear wave forecast, which meets the requirements of conventional logging data analysis, improves the application range, and provides help for physical analysis of logging rock.

The invention belongs to the technical field of noctilucent remote sensing image processing, and discloses a noctilucent remote sensing image high-resolution reconstruction method based on semantics. According to the method, the light semantic information is fused in the high-spatial-resolution reconstruction process of the noctilucent remote sensing image, the light semantic information serves as constraint information in the reconstruction process, the high-spatial-resolution noctilucent remote sensing image can be obtained, and then the requirements of application such as long-time historical data analysis and fine modeling can be met.

The invention discloses a line expansion analysis method and device based on network behavior characteristics, and the method comprises the steps: carrying out the deep mining of network behavior datathrough a preset data mining algorithm based on a preset protocol characteristic knowledge base and a named entity recognition technology, and obtaining target network behavior data; carrying out operational analysis on the deeply mined target network behavior data by adopting a preset social network behavior analysis algorithm, and carrying out analytic statistics and classification according todifferent network behavior types to realize community network division of different network social circles; and constructing a relationship network taking the community network as a core, achieving line expansion analysis based on the acquired network behavior characteristic data in the same relationship network, and presenting a line expansion result on a display screen. By adopting the line expansion analysis method based on the network behavior characteristics, the personnel relationship carding, deriving and correlating efficiency is improved, the display mode of line expansion is enriched, and the use experience of a user is greatly improved.

The invention relates to a method for determining the content of Al, Ca and Fe in highly pure nanometer ITO powder. The method comprises the following steps: carrying out microwave digestion treatment on an ITO sample, and carrying out dry filtration to obtain a solution to be detected; preparing a series of standard solutions of Al, Ca and Fe, wherein the Al, Ca and Fe concentrations of the standard solutions are 0, 20ng/mL, 40ng/mL, 60ng/mL, 80ng/mL and 100ng/mL respectively; selecting working conditions of an inductively coupled plasma mass spectrometer, and selecting <27>Al, <40>Ca and <56>Fe to determine; determining to obtain the work curves of Al, Ca and Fe; and determining to obtain a signal intensity ratio Y<Al>, Y<Ca> and Y<Fe> of <27>Al, <40>Ca and <56>Fe in a blank solution and the ITO solution to be detected to an internal standard Sc element, and calculating to obtain the mass percentages of Al, Ca and Fe in the ITO sample. The method allows the detection result to be highly reliable, and can well meet the analysis of the ITO material with the content of Al, Ca and Fe of 0.0001-0.010%.

The invention relates to the technical field of medicinal chemistry, and particularly discloses a synthesis method of an impurity of C-glycoside derivatives. The impurity is a compound as shown in a formula (I) and is synthesized by the following steps: (1) dissolving a compound as shown in a formula (II) in ethyl acetate, and adding TEA and DMAP; dropwise adding acetic anhydride to prepare an intermediate 1 as shown in a formula (III); (2) adding the intermediate 1 into acetonitrile, and dropwise adding boron trifluoride diethyl etherate; dropwise adding a dichloromethane solution of a compound as shown in a formula (IV) for reaction to prepare an intermediate 2 as shown in a formula (V); (3) dissolving the intermediate 2 in methanol and tetrahydrofuran, and adding lithium hydroxide monohydrate for reaction; spin-drying a solvent, adding ethyl acetate for extraction, backwashing an organic phase with water and a saturated salt solution, adding anhydrous sodium sulfate for drying, and spin-drying; and carrying out column chromatography to separate the residues and spin-drying to obtain the compound as shown in the formula (I). The method provided by the invention solves the problem of large-scale production required by reference substances, improves the reaction yield and reduces the production cost.

The invention relates to a communication system for data of a power secondary system model, a graph and a running state. The communication system comprises a secondary monitoring system master station, a secondary professional subsystem master station deployed in an I/II area, a secondary professional subsystem master station deployed in an III/IV area, a regulation and control cloud model data platform, an upper-level secondary monitoring system master station and a lower-level secondary monitoring system master station, according to the invention, interaction of model, graph and operation state data between the secondary monitoring system and the main station of each professional subsystem can be realized.

The invention discloses a visualization method and device based on data comprehensive analysis and a medium, which are used for solving the technical problems that processing daily service data and carrying out information research and judgment in the prior art need to depend on professional personnel, the labor cost is high, the consumed time is long, and continuous and efficient operation is difficult to keep. The method comprises the steps of collecting first data; performing data preprocessing on the first data to obtain second data; obtaining a first data key value contained in the second data; determining a data model corresponding to the second data according to the first data key value; and importing the second data into the data model to generate a data research and judgment report. According to the method, an appropriate visual chart is automatically selected to visually display the data, intelligent research and judgment information is provided, a basis is provided for scientific decision making, the labor cost is reduced, and the working efficiency is improved.

The invention discloses a ginsenoside Rg1-phenyl isocyanate chiral stationary phase filler and a preparation method thereof, and relates to the technical field of analytical chemistry; the method comprises the following steps: chemically bonding a natural product, ginsenoside Rg1, onto a silica-gel carrier, and then carrying out derivatization reaction with phenyl isocyanate. By using the ginsenoside Rg1-phenyl isocyanate as a chiral chromatography stationary phase filler, the ginsenoside Rg1-phenyl isocyanate chiral stationary phase filler has a chiral recognition capability and excellent stability performance, can be used in a condition of reversion phase chromatography, and has a certain separating capability to amino acid.

The invention discloses an Internet-based modern agricultural monitoring system, which includes an airborne management device and a ground receiving base station, and a distributed data processing base station is connected between the communication links between the airborne management device and the ground receiving base station. The on-board management equipment includes an intelligent network management detection module, the input end of the intelligent network management detection module is connected with an infrared remote control unit, and the output end of the intelligent network management detection module is connected with a water quantity detection system; the distributed data processing base station includes a big data signal processing module, the output end of the big data signal processing module is also connected with a big data analysis module and a processing decision module, the big data analysis module exchanges data with the airborne management equipment, and the processing decision module exchanges data with the ground receiving base station, The platform can meet the needs of processing massive data storage, analysis and low-latency data acquisition.

The invention relates to an intelligent temperature control voltage transformer. In the voltage transformer, an optical temperature measuring element is embedded in a primary conductor of an electronic voltage transformer, an optical fiber for transmitting signals is synthesized into the insulation of the electronic voltage transformer, so that a temperature sensor and the electronic voltage transformer are integrated, the structure and the function of the electronic voltage transformer can be maintained, additional space is not needed, the structure of a switch cabinet is not needed to be damaged during application, special assembly, debugging and fixation on the site are not needed, the installation size is not changed, and the installation is simple and convenient. The intelligent temperature control voltage transformer is applied to intelligent power grid power transmission and transformation equipment, the structure of the switch cabinet can be greatly simplified, the number of electronic voltage transformer equipment in the system is reduced, and the reliability of system data transmission is improved.

The invention discloses a method for detecting the frosting state of a heat exchanger through a temperature sensor and a humidity sensor, the temperature sensor and the humidity sensor are placed beside a coil pipe and in the middle of a heat exchanger fin, the temperature T and the relative humidity H of the heat exchanger fin are detected through the temperature sensor and the humidity sensor, and unit heating continuous operation time HCT is combined.The parameters are compared and analyzed with corresponding preset threshold parameters, wherein the preset thresholds include a temperature threshold T1, a temperature threshold T2, a temperature threshold T3, a humidity threshold H1, a humidity threshold H2, a heating continuous operation time threshold HCT1 and a heating continuous operation time threshold HCT2.The temperature and the relative humidity of the heat exchanger fin are obtained in real time through the temperature sensor and the humidity sensor, and state analysis and prediction are conducted on the frosting condition of the heat exchanger.According to the method, the frosting condition of the heat exchanger of a heat pump unit is accurately detected and predicted, areliable basis is provided for defrosting and frosting prevention of the heat pump unit, and the unit is prevented from entering invalid defrosting or incomplete defrosting.