2105results about How to "Realize analysis" patented technology

The invention discloses a multisensory robot used for family intelligent monitoring service. The robot comprises a main control device, wherein the main control device is externally connected with a camera, a sound collector, a cellphone alarm device and a loudspeaker; the main control device is also externally connected with a chassis moving device and a head gesture device; the chassis moving device consists of a chassis controller, a motor driver, an obstacle avoiding sensor and a smoke sensor; the chassis moving device is provided with a lithium battery and wheels required by a mobile platform; the main control device sends a control command to the chassis controller by a serial port to control the corresponding action of a motor and process an obstacle avoiding signal; the head gesture device consists of three steering engines and one relay; and the main control device sends a control command to a head controller by a serial port to control the head and the eyeballs of the robot to rotate and control the mouth of the robot to open and close. The multisensory robot is used for the family intelligent monitoring field, can be used for multisensory fusion and can realize the multifunction family monitoring such as face identification and anomalous event monitoring.

The invention discloses a knowledge graph-based enterprise risk prediction method and system. The method comprises the steps of 1) constructing entities of an enterprise knowledge graph, establishingrelationships between the entities, and extracting knowledge from set data sources to form the enterprise knowledge graph; 2) capturing news information of enterprises and related entities, processingthe captured news information based on the enterprise knowledge graph, marking relationships between the related entities and events, and storing marked information in a structured knowledge base toform an enterprise news information knowledge graph; and 3) performing enterprise risk prediction based on the enterprise knowledge graph and the enterprise news information knowledge graph. The blankof an existing knowledge graph in the field of enterprise risk analysis is filled; and the constructed enterprise knowledge graph and enterprise news information knowledge graph have relatively highpracticality.

An experiential digitalized multi-screen seamless cross-media interactive opening teaching laboratory is integrated in testing, researching and analyzing. Experiment and data analysis are performed in a real teaching environment; under support of the multi-screen interactive technology, the laboratory comprises a laboratory functional partition, an operation support system, a data working system, an experiment information acquisition system and an audio and video input and output device; a screen jilting function among multiple mobile terminals is realized; the data working system comprises a server, a database, education resource cloud, a U-teaching system, a learning analysis and evaluation system, a mobile device, a cross-screen management module, a recording and broadcasting system and an Internet; learning space for cross-media interactive learning is provided, technologies of holographic imaging, multi-screen interaction, learning analysis and the like are integrated, and seamless fusion of the physical space and the virtual space is realized; seamless fusion of supporting technologies from formal learning to informal learning, multiple learning modes, cross-terminal, cross-media and the like is realized, and good learning experience is provided for learners.

The invention discloses an inspection method and an inspection system. The inspection method comprises the steps that: inspection items, inspectors and inspection time corresponding to different inspection devices are set in an inspection server in advance; the inspection server generates inspection work orders according to the inspection items, the inspectors and the inspection time corresponding to the different inspection devices; the inspection server verifies the identity of a portable terminal and sends the inspection work orders to the portable terminal; the portable terminal downloads the inspection work orders, receives and stores inspection data of an inspected device inspected according to the inspection work orders by the inspector, and uploads the inspection data to the inspection server; the inspection server performs statistic analysis on the inspected data to generate a corresponding inspection report, and the inspection data of devices are reported through the hand-held portable terminal, so that the workload of inspection is greatly reduced and the inspection efficiency is significantly improved. Therefore, the collection and the analysis of the inspection data are realized, thereby providing the great convenience for users to know the condition of an inspected device in real time and perform the corresponding maintenance.

The invention provides a manufacturing cloud system for supporting on-demand use and dynamic collaboration of manufacturing resources and manufacturing capacities, which is used for solving the problems that the use ratio of resources is low, the sharing of the manufacturing capacities is insufficient, effective business operation management measures are short and the like in the process of manufacturing enterprise informatization in China. Aiming at the characteristics of the manufacturing resources and the actual demands of an enterprise for a cloud manufacturing service platform, and according to the lifeline of a cloud service life cycle, the manufacturing resources and the manufacturing capacity in the manufacturing cloud system are designed and stated in five system modules namely intellisense, virtual access, virtual resource servicesation, deployment of cloud services, and integrated management of the cloud services, thus meeting the demand of the on-demand use and the dynamic collaboration of the manufacturing resources and the manufacturing capacities. The manufacturing cloud system has the advantages that the intellisense, the servicesation of the manufacturing capacities and service life cycle demands which are accessed to the manufacturing resources are supported, the intelligence is supported, the services are shared on demand, the system structure is flexible, the levels are distinct, and the expandability is strong.

The invention relates to an internet of things networking method and a system thereof. The system comprises an internet or mobile internet, a plurality of network elements connected with the internet or mobile internet in parallel, clients respectively communicated with the internet or mobile internet, and a cloud server. Each network element comprises a network element controller, and a plurality of devices which are of a star network topological structure and are contacted with the network element controller. The relevant information of the devices in the network element is stored in the cloud server. The clients can directly operate the network element controller, or visit and control the devices in the network element through the internet or mobile internet, or place the devices under trusteeship through the cloud server to realize the automatic and intelligent management of the devices. The internet of things constructed by the invention is an open and diversified network, users can control and monitor any device and can inquire and share information as long as the device joins in the network, and thereby the automatic control, the user control under trusteeship and the authority-based information share in the entire network are realized.

This invention discloses an intelligent centralized monitor method and a system for bank personal business fraudulent conducts. The method comprises steps of establishing an enterprise data integrated framework based on a lightweight class enterprise, acquiring personnel client transaction data from application systems of various business and transaction channels, for each transaction and a specific transaction record collection, matching the predetermined risk judgment elements in transaction data with regulations of fraud identification regulation database and determining whether the corresponding fraudulent event is triggered according to the matching result; and starting a processing flow corresponding to the fraudulent conduct according to a preset processing requirement and received fraudulent events. This invention also provides an intelligent centralized monitor system for the bank personal business fraudulent conducts, comprising a fraud monitor platform and a business executive system. This invention highly realizes the centralized monitor, analysis and processing for the personal business fraudulent conducts in manners of a whole bank level, cross-products and cross-channels, and is accurate in analysis and high in efficiency.

The invention provides vehicle scheduling, apparatus and system. The method comprises: order data information transmitted by an intelligent terminal of a driver is received in real time; according to the order data information, the internet-based hailing car number and order information at a corresponding traffic position are updated; the current internet-based hailing car number and order information at all designated hot regions as well as the historical order numbers of the designated hot regions are extracted from a database; according to the historical order numbers of the designated hot regions as well as the current internet-based hailing car number and order information, the quantity of demanding internet-based hailing cars of the designated hot regions is determined; the quantity of demanding internet-based hailing cars at the designated hot regions is stored into the database; and based on the quantity of demanding internet-based hailing cars at the designated hot regions, the internet-based hailing car number is scheduled. According to the method, apparatus, and system, the order data information can be received in real time; and with comprehensive consideration of historical orders, a driver can enter a hotspot region of an order in advance, thereby guaranteeing rapid order receiving for the passenger and thus improving the experience of the passenger.

The invention provides a detector for binary-code buffer-zone overflow bugs, and a detection method thereof. The detector comprises six functional modules, namely a debugger module, an input point positioning module, a disassembling module, a symbolic execution module, a loop operation analysis module and an intelligent FUZZ test module. Differing from static symbolic execution, the detection method dynamically loads programs through the self-developed debugger module to synchronously performing symbolic execution and single-step practical execution, and then applies a model to solve each difficulty in binary code analysis so as to test path coverage and detect overflow bugs in accordance with all executable programs of PE format under a Windows platform. The detection can also provide propagation paths of input data and other important information related to bug formation cause while positioning the bugs, only analyzes the selves of the executable programs, needs no source codes, is unrelated to the species of source codes and development tools, and is extensive in applicable occasions, so the detection method has good prospects for popularization and application.

This invention relates to a strain monitor system for slope distributed fibers, which lays out several parallel special optical cables along the slope or at least lays out one close to the slope top and the corner separately, adheres symmetrically two fibers on the outer surface of a tilt testing tube to get the distortion of deep soil helped by the strain of the tube, the special optical cables are melted orderly to constitute a sensor circuit to be connected to BOTDR, which links with remote computers via local computer and internet to constitute distributed fiber strain monitor system and gets the distortion or displacement of the slope by integrating and summing the measured strain distribution further to evaluate and preset to the side slope.

The invention relates to a full-automatic fluorescent quantitative immunity analyzer and a method, and belongs to the technical field of detection. The full-automatic fluorescent quantitative immunity analyzer comprises a sample feeding device, a hatching device, a sampling device, a data acquisition device, a reagent card device and a system control module; the purpose of automatic quantitative immunity analysis is achieved through organic combination of all the devices and modules and mutual cooperation of all elements. According to the fluorescent quantitative immunity detection method, the full-automatic fluorescent quantitative immunity analyzer is adopted, therefore, full-automatic instrumental analysis is achieved, the detection efficiency is improved, and the professional requirement on an operator is lowered.

The invention relates to an SOC estimation method for a series-wound battery pack having an equalization circuit. According to the estimation method, adaptive extended Kalman filtering SOC estimation is carried out on the single batteries with the lowest voltage or the highest voltage in the charge-discharge stage so as to obtain the SOC of the series-wound battery pack. For eliminating influence on the measurement signal from noise, and for analyzing the unstable and sharply-changed voltage and current signals, wavelet transform is performed before the implementation of the adaptive extended Kalman filtering so as to realize denoising and analyzing of the signal; and the condition that the curves of the battery parameters and the open circuit voltage-state of charge (OCV-SOC) are changed along with the changes of temperatures and the changes of the SOC is taken into consideration. By adoption of the estimation method, online updating of the parameters can be performed, so that the SOC estimation precision can be improved; the SOC of the battery pack can be accurately estimated under the premise of ensuring the safety operation of the series-wound battery pack; therefore, the estimation method is applicable to active equalization and passive equalization; and meanwhile, by adoption of the estimation method, the influence from noise can be effectively eliminated, and the voltage and current signals can be effectively analyzed.

The invention discloses a visual intersected fracture flowing water grouting test device and method. The visual intersected fracture flowing water grouting test device comprises a grout collection device and further comprises an intersected fracture platform. The intersected fracture platform comprises supporting frames, an intersected fracture test room arranged on the supporting frames, intersected fractures arranged on the inner wall of the intersected fracture test room, flow sensors arranged inside the intersected fracture test room, and pressure sensors arranged inside the intersected fracture test room. The visual intersected fracture flowing water grouting test device further comprises a flowing water supply device used for injecting water for the intersected fracture test room and an air pressure grouting device used for grouting for the intersected fracture test room, and the intersected fracture test room is connected with the grout collection device. The visual intersected fracture flowing water grouting test device and method can achieve grouting simulation test and analysis under the conditions of the intersected fractures and flowing water.

The invention discloses an ore body modeling system in a digital mine and a modeling and detecting method of the ore body modeling system. The ore body modeling system comprises a multi-source data coupling module, an integration module for various modeling methods, a multi-resolution visualization and detection module and a multi-dimensional space data analysis and application module. The method includes: firstly, acquiring multi-source ore body data and coupling the acquired multi-source ore body data; secondly, establishing various ore body models applicable to mine planning and construction according to the coupled multi-source ore body data; thirdly, visually displaying and detecting coupling results of the multi-source ore body data and establishing processes and results of the various ore body models; and fourthly, analyzing and applying multi-dimensional space data according to the established various ore body models. The ore body models applicable to mine planning and construction can be established, and the multi-dimensional space data can be analyzed and applied.

The invention discloses a GPRS (General Packet Radio Service) communication-based remote online monitoring system and method for sewage treatment equipment. The monitoring system comprises a field information acquisition control subsystem, an information transmitting subsystem and an information terminal subsystem, wherein the field information acquisition control subsystem and the information terminal subsystem are subjected to data transmission through the information transmission subsystem; the field information acquisition control subsystem comprises a video and monitoring integrated machine, an information acquisition unit and a control unit; the information transmission subsystem comprises field GPRS wireless transmission equipment, a GPRS wireless transmission network and terminal GPRS wireless transmission equipment; the information terminal subsystem comprises a server, a monitoring center, a mobile phone client and / or PC (Personal Computer) client; and the control unit is a programmable logic controller. The monitoring system can be used for monitoring the operation state of the remote sewage treatment equipment in real time and carrying out alarming and preliminary remote diagnosis treatment on operation faults of the sewage treatment equipment. In addition, the system is low in building expenses and high in management efficiency.

The invention discloses a testing device and a testing device method for simulating collapse of tunnel surrounding rock under conditions of rainfall and underground water seepage. The testing device comprises a model testing box, a rainfall adjustable simulating system, an underground water seepage simulating system, an underground water supplying system, a water content testing system, a stress monitoring system, a digital radiography noncontact measuring system and an optical fiber bragg grating displacement monitoring system. By simulating a progressive failure process of tunnel weak broken surrounding rock under the action of seepage of surface water and underground water, mechanical behaviors of crushing the surrounding rock under different rainfall conditions and different underground water seepage path conditions are quantitatively researched. By obtaining multiple-physical field information in a tunnel surrounding rock collapse process, multi-information features in different evolutionary phases and internal links of information of all fields of the collapse are analyzed, a progressive failure process and fracture morphology and ranges of the tunnel weak broken surrounding rock under different factors are determined, and the effective basis is provided for disclosing a progressive failure principle and a dynamic pressure arch effect of the weak broken surrounding rock under conditions of rainfall and underground water seepage.

The present invention provides a vehicle position prediction method based on deep learning. The method comprises the steps of: S1, obtaining an original VLPR data set, performing cleaning and denoising of the original VLPR data set, obtaining a VLPR data set, and performing grouping of the VLPR data set according to a set time quantum; S2, from the VLPR data set, extracting vehicle pass record ofthe same vehicle, generating a vehicle track data set and screening out a track meeting a demand, and performing data conversion of the related feature information of the track; S3, establishing an algorithm model based on deep learning according to the obtained vehicle track features, and achieving analysis and learning of the track features; and S4, after performing feature learning of the vehicle track, employing a full-connection network layer to combine a Softmax classifier to output a next position vector, matching real geographic position information, outputting the real geographic position information, and achieving vehicle position prediction. The method provided by the invention analyzes operation features of a road network and employs the track features in the vehicle driving process so as to obtain high prediction precision.

The invention provides a supply chain management system of one-stop integrated logistic service. The supply chain management system comprises a customer management module, a customs declaration and inspection module, a logistic distribution module, a storage module, a process module and a balance account module, wherein the customer management module is used for carrying out customer management operation to customer service staff; the customs declaration and inspection module is used for carrying out customs clearance operation on enterprise import and export practices; the logistic distribution module is used for carrying out the operation of dispatch, order supervision, order acknowledgement and the like for transportation business; the storage module is used for carrying out warehouse in / out and inventory management of cargos; the process module is used for carrying out real-time management and control, reminding and early warning on the processes of all businesses; and the balance account module is used for carrying out charge balance account for all the businesses. The supply chain management system is not only a set of informatization management software of a third logistic enterprise, but also a set of supply chain solution scheme providing the one-stop integrated logistic service for a cargo owner enterprise; the supervisory control and management are realized for the whole supply chain links; the execution performance of the whole supply chain is improved; the cost is reduced; and the supply chain value is created.

The invention discloses a remote in-situ integrated test system for planet surface substances and atmosphere. The whole system comprises: a miniature pulse solid state laser, a Cassegrain telescope system, a one-dimensional precise mobile platform, a continuous light indicating positioning laser, various optical elements and echelle spectrographs, ICCD, a high-resolution camera and a photomultiplier. According to the system and method of the invention, the combination of technologies of laser induced breakdown spectroscopy (LIBS), Raman spectroscopy (Raman), and laser radar is realized in the same system; the system of the invention adopts modular design, is high in integration level, small in size, and light in weight, and can realize long-distance surface microimaging, long-distance substance element analysis, long-distance substance composition analysis, and planet boundary layer atmosphere detection.

The invention discloses a three-dimensional image reconstruction method for the patterns of plant roots, which includes the following steps: shooting photos around the detected plant roots from each scheduled point of view; processing the photos to obtain the two-dimensional coordinates information of the pixel points which represents the plant roots in the photos, obtains the three-dimensional coordinates of all points corresponding to the pixel points which represents the plant roots on each shot photo according to the corresponding relation between the three-dimensional coordinate of a physical space and the two-dimensional coordinate of each image projection plane of the physical space; selects certain specific three-dimensional coordinates as the scene point coordinates of a three-dimensional image space and forms a three-dimensional image with binaryzation through the scene point coordinates. The invention also discloses a three-dimensional image reconstruction system for the patterns of plant roots. The invention has the advantages of high speed, high accuracy, etc., and can be used indoors and outdoors.

The invention provides a power quality monitoring management system based on an electric power wide-area network. The power quality monitoring management system is formed by a data acquisition subsystem, regional management subsystems and an electrical energy quality monitoring center subsystem. The data acquisition subsystem is used for processing voltage signals and current signals collected on site, storing the voltage signals and the current signals in a power quality data interchange format (PQDIF), and uploading the processed electrical energy quality data to the regional management subsystem in real time. Each regional management subsystem is used for being connected with the data acquisition subsystem and the electrical energy quality monitoring center subsystem, and summarizing and storing the real-time and historical data of electrical energy quality so as to achieve the function of application service. The electrical energy quality monitoring center subsystem contains all the functions of the regional management subsystems, is equivalent to a set of the regional management subsystems, is a comprehensive management mechanism of the whole system and is used for being in charge of a main network frame, monitoring electrical energy quality points and areas which are heavily polluted and carrying out summarization on the data uploaded by a local-area power grid so as to make comprehensive estimation to the electrical energy quality level of the whole power grid operation.

The invention relates to a hydrocarbon detection system for a power supply system transformer of an electrolytic aluminum enterprise, in particular to an on-line detecting method for the insulation oil temperature of the transformer, characteristic gas in the oil and oil chromatogram. The analyze methods of the invention include an on-line monitoring layer, a data collecting layer, a data concentration layer and a data application analysis layer. The steps of the methods include a data monitoring step, a data collecting step, a data concentration step and a data application analysis step. The beneficial effects of the invention are that the data collection of the invention can realize the automatic collection and the protocol conversion of various data on the transformer operation site. The collected data are processed, treated, analyzed, stored and published by the data storing. An application system relative to the management of the transformer operation status is constructed by the data application analysis to supply an information platform for scientific organization, commandment, decision and monitoring production process. The invention is applied to the automatic control system of the electric power supply system.

The invention relates to a template-based serial report generation system and a method. Through processing of a data template, and a calculation template, the data finally generates a data report via a report template, and the data report generates a final user report via a skin template. The invention clearly proposes a report generation method based on a four-layer template structure, which can extract, filter, and sort data through the data template, the calculation template completes data conversion, the report template generates the data report, finally, the skin template processes and generates a user report. The system and method of the invention flexibly realizes data statistics and analysis, provides the capability of multi-dimensional secondary report generation, as well as achieves one-sort and multi-issuance on data.

The invention relates to a numerical value simulation and numerical value calculation method for an overall process of debris flow. By researching on a debris flow formation process and mechanism, debris flow channel material starting, and a debris flow movement accumulating process numerical value calculation method, and by constructing a debris flow dynamic process and an engineering regulation and control numerical value simulation platform at the same time, the scientificity and reliability of the research on the dynamic process of the debris flow can be improved, so that technological support is supplied for debris flow disaster alleviation and better service is supplied for the debris flow disaster alleviation; dynamic characteristic of debris flow slurry and big stones are taken into full consideration in a proposed debris flow movement model; a concept of interchange rate of materials of debris flow and a movable bed is introduced initially; and corrosion of debris flow along the way and disaster scale change are taken into consideration to form the debris flow formation-movement-accumulation numerical value simulation and numerical value calculation method based on the overall process. By adoption of the numerical value simulation and numerical value calculation method, the scientificity and reliability of the research on the dynamic process of the debris flow can be improved, so that technological support is supplied for debris flow disaster alleviation and better service is supplied for the debris flow disaster alleviation.

The invention discloses a method and system for detecting operating states of substation equipment. Different from a diagnostic method purely based on a failure mechanism, the method is characterized in that real-time historical data of the substation equipment are utilized; historical data models under the various operating states are set as reference; compared with models set according to current state data, the historical data models can obtain the relevancy degree representing the level of similarity; the current corresponding operating state of the substation equipment is judged according to the relevancy degree. Thus, once the level of similarity of the current state data of the equipment and the historical failure state data exceeds a threshold value, an early warning message can be sent out, and accordingly early signs of potential faults of the substation equipment are early warned, and relevancy of fault types is analyzed.

The invention relates to the technical field of optical detection and provides a spectrum detection system for material component analysis and a detection method thereof. The spectrum detection system comprises a laser device, a spectrum signal collecting component, a light separating component and a material component analysis device with a door control function, wherein the laser device sequentially generates laser with at least two wavelengths and a synchronous signal; the spectrum signal collecting component collects an LIBS (laser-induced breakdown spectroscopy) signal and an RRS (retransmission request signal) spectrum signal which are generated after a sample to be analyzed is excited by two laser pulses respectively; the light separating component effectively separating the LIBS signal and the RRS spectrum signal with different wavelengths respectively; the material component analysis device with the door control function detects and receives the LIBS signal or the RRS spectrum signal separated by the light separating component according to the synchronous signal of the laser device and compares the existing spectrum information data to analyze the atom components and the molecule components of the sample so as to identify the components of the material. According to the invention, excitation, collection and detection of the LIBS signal and the RRS spectrum signal can be realized on one set of system by using single pulse laser, so that the atomic spectrum and the molecular spectrum of the material are obtained, and the components of the to-be-detected target containing various components or unknown components can be quantitatively analyzed.

The invention provides an individualized online news comment mood forecast method capable of fusing multiple information sources. The online news comment mood forecast method capable of fusing multiple information sources is put forward on the basis of online news comment mood forecast based on a single information source. Online news comment mood forecast is achieved through the single information source on the three aspects of user comments, news texts and user mood votes. By combining the various heterogeneous information sources, the forecast accuracy is greatly improved. The method put forward is remarkably superior to other alternative methods of online news comment mood forecast and has higher superiority when processing a large number of comment sets large in difference. The method can be used for user sentiment analysis and public sentiment supervision.

The invention provides a convolutional neural network power system intelligent fault detection method and system based on Spearman level correlation, and the method comprises the steps: setting a phasor measurement unit at a regional network node, and carrying out the measurement of data; performing Spearman correlation analysis on the acquired data, and proposing an image generation method basedon an analysis result; establishing an equivalent fault network, verifying the relation between the fault characteristics and the Spearman level correlation, and demonstrating the feasibility of the method; taking the generated image as an initial convolutional layer, and establishing a convolutional neural network architecture based on Spearman level correlation; and verifying the rationality andsuperiority of the method based on PSCAD / EMTDC according to the established architecture. A plurality of types of electric quantity data are comprehensively used for fault diagnosis, the position ofa fault in the power system can be quickly and accurately identified through the convolutional neural network, the problems that the power system has volatility and the traditional detection method isinaccurate due to addition of a distributed power supply and the like are solved, and the robustness and the self-adaptability of the power system are higher.

The invention relates to an embedded system for real-time detecting memory, and relative method for real-time detecting memory and picking up the memory cross mistake, wherein said method comprises: starting one real-tie memory detecting proxy mission module, and initializing the memory detection; receiving background user instruction, and setting memory detecting point; then transmitting said user instructions to the real-time memory detecting proxy mission module; and when the trigger conditions are met, adjusting abnormal interruption.

The invention belongs to the field of three-dimensional movement simulation systems, especially relating to a flight simulation system facing to the power line polling. The system is composed of a polling simulation sub-system, an intelligent control sub-system and a flight simulation sub-system; the polling simulation sub-system is composed of an aircraft navigation module, an image processing module and a micro observation scene model; the intelligent control sub-system is composed of an upper computer module, a controller module, hardware and a driving module; and the aircraft simulation sub-system is composed of a three-dimensional movement module, an image acquiring module, a safety protection module and a data link module. A three-dimensional intelligent movement platform is used for simulating the aircraft action, thereby realizing the functions of target detection, tracking, identifying, power line fault analysis and diagnosis, path planning and the like by capturing, acquiring, processing and analyzing the optical information. The system provides a high-quality experiment platform for the autonomation and intellectualization of the power line polling.