290results about How to "Easy to analyze and process" patented technology

The invention provides a bridge structural health monitoring car. A mechanical hand capable of being bent to extend into the lower part of a bridge is arranged on the bridge structural health monitoring car, wherein at least one camera is arranged on the mechanical hand and used for collecting the image information of the bottom and the side face of the bridge; a high-precision GPS positioning device is arranged and used for determining a current detection position and measuring the line shape of the bridge surface; a bridge structure dynamic information collecting device is arranged and used for collecting the dynamic characteristic information data of the bridge structure; an information processing device is arranged and used for storing the image information collected by the cameras, the GPS data and the dynamic characteristic information data, judging the health conditions and the disease development conditions of the bridge structure according to the analysis and the comparison of the monitoring data of each time and definitely indicating the disease conditions and parts by visual images. The bridge structural health monitoring car can carry out health monitoring on a plurality of bridges at the same time.

The invention discloses a seamless steel tube production process information tracking method, which carries out equipment electrical control partition and single branch pipe tracking partition on a production line; an added seamless steel tube production process information acquisition device is provided with a QAS device, an on-line steel tube jet printing machine, an on-line steel tube label making machine and an off-line steel tube number reading recognition machine; primary PLC of all the single equipment of the production and upper computers thereof are connected onto a server by Ethernet, and a database system is built; and the server visits the primary PLC in the single equipment of each area in an OPC manner by the Ethernet, and visits the upper computer of the single equipment of each area in a database manner. The invention solves the problem that the existing seamless steel tube production can only realize batch tracking, realizes the real-time track record of real running positions of each steel tube during the whole process from the on-line of the raw material tube blank to the off-line of the finished steel tube in the seamless steel tube production, the original setting information of each single equipment and the practical production information, and satisfies the practical requirements of users and manufactures on single steel tube production information tracking.

The invention relates to a method and a device for eliminating exercise electrocardiosignal interference. The method includes the following steps: collecting exercise electrocardiosignals and exercise reference signals; carrying out amplification and lowpass filtering on fixed gain of collected exercise electrocardiosignals; carrying out analog-digital conversion on amplified and lowpass filtered exercise electrocardiosignals and obtaining digital exercise electrocardiosignals; judging exercise interference degree of the digital exercise electrocardiosignals, and obtaining the exercise interference degree; carrying out self-adaptive elimination on the exercise electrocardiosignals and the exercise reference signals according to the exercise interference degree, and obtaining the exercise electrocardiosignals without interference. According to the method and the device, even when the exercise interference degree is very high, good exercise electrocardiosignals can still be obtained through offset of the exercise electrocardiosignals and the exercise reference signals, and accuracy and stability of eliminating exercise electrocardiosignal interference are improved.

The invention relates to a data acquisition method for a sensor network, a gateway and a data acquisition system. The sensor network comprises a plurality of sensor nodes. The data acquisition method comprises the steps of: respectively comparing a variable quantity of received data sent by each sensor node in a preset time period with a corresponding preset value; judging whether the data of which the variable quantities reach the corresponding preset values exists; and increasing acquisition frequencies of the sensor nodes corresponding to the data of which the variable quantities reach the corresponding preset values to a first acquisition frequency. According to the invention, the acquisition frequencies of different sensor nodes are controlled by utilizing the same gateway, the condition that the uploaded data is out of sync cannot be generated, and the data acquisition method, the gateway and the data acquisition system are beneficial to analysis processing of a background server on the data.

The invention relates to a star sensor installation error matrix and navigation system star-earth combined calibration and correction method, and aims at solving the problem that a conventional star sensor calibration method cannot preferably complete the calibration of an installation error matrix of a star sensor and cannot calibrate and correct the star sensor installation error matrix and navigation system deviation at regular intervals. The method is realized according to the following steps: (1) acquiring information theta<t,m> and X<t,m>; (2) establishing an attitude information and orbital parameter information measurement model; (3) determining values shown in the specification; (4) calculating values shown in the specification; (5) solving an arithmetic mean value; (6) establishing a practical attitude installation matrix and orbital parameter information correction model of the star sensor; (7) determining the direction of delta theta; (8) correcting the (6); (9) determining the attitude and the orbital parameter information; and (10) rerunning every N attitudes. The star sensor installation error matrix and navigation system star-earth combined calibration and correction method is applied to the field of satellite attitude determination technology and satellite navigation technology.

The invention relates to an integer wavelet coefficient equalization image enhancement method based on DWT (discrete wavelet transform). The method comprises the following steps of: performing single-layer two-dimensional discrete wavelet decomposition on an original image to obtain a low-frequency sub-band decomposition coefficient cA, and three high-frequency sub-band decomposition coefficients cH, cV and cD which correspond to a horizontal direction, a vertical direction and a diagonal direction respectively; performing equalization processing on the low frequency sub-band decomposition coefficient cA to obtain a new equalized coefficient; and reconstructing the image by utilizing the new equalized coefficient and the high frequency sub-band decomposition coefficients cH, cV and cD. By utilizing the image enhancement method provided by the invention, not only can the advantages of signal detail amplification, favorability for analysis, effective image enhancement and image noise reduction of wavelet analysis be reserved, but also the defects of greatly increasing noises in the noise image enhancement process of a histogram equalization algorithm and losing a great number of details in the image enhancement process of a homomorphic filtering algorithm are overcome.

The invention provides a method for generating a track traffic route topological graph by a directed graph method. According to the method, the directed graph method is adopted for carrying out topologization on the track traffic route map, the track traffic route topological graph is formed and comprises a series of nodes and directed edges; one node is arranged in any one position in the track crossing position, the track gathering position, the track direction changing position and the track end part position of the track traffic route map, the single definition is carried out on each node, in addition, different nodes can be separated, and the nodes are used for forming a top point set; each edge corresponds to a track between the two nodes, each edge is subjected to single definition, and in addition, different edges are enabled to be capable of being distinguished; the direction of each edge is defined, and all of the edges are used for forming an edge set. The method provided by the invention has the advantages that the analysis and the processing of the route information are simple and efficient, the correctness of the connecting relationship of each route can be ensured, and the safety is improved.

The invention provides a server-power-on-state monitoring system and method and a computer storage and equipment. The server-power-on-state monitoring system comprises a CPLD part, a BMC part and a communication device, wherein the CPLD part is used for controlling server power-on-time-sequence starting and recording corresponding power-on-condition information to the storage; the BMC is used forobtaining the power-on-condition information and judging whether abnormal condition information exists in the power-on-condition information or not, and if the abnormal condition information exists inthe power-on-condition information, the abnormal condition information is recorded; the communication device is used for transmitting the abnormal condition information to a preset position. According to the server-power-on-state monitoring system, when the CPLD part controls a server to be powered on, the power-on-condition information recorded by the CPLD part in the storage can be monitored, whether the abnormal condition information exists in the power-on-condition information or not is judged, and the abnormal condition information is recorded and transferred to the preset position accordingly so that the record can be conveniently used at a later time; the server power-on working state is analyzed, and the server power-on abnormal condition can be simply and accurately detected at alow cost.

The invention discloses a superconducting weak magnetic signal detection magnetometer comprising a superconducting quantum interference device (SQUID), a nonmagnetic dewar, a three-dimensional triaxial locator, a magnetic flux lock loop, a micro-control processor, a power supply unit, a data signal processing system and a host. The low-temperature superconducting quantum interference device substitutes a conventional induction coil to act as a magnetometer probe so that sensitivity and measurement depth and precision of the magnetometer are enhanced. The superconducting weak magnetic signal detection magnetometer is one of the latest international weak magnetic signal detection equipment. Compared with a conventional electronic magnetometer, the superconducting weak magnetic signal detection magnetometer is high in resolution, high in precision, high in intellectualization and high in stability, and can be applied to geophysical prospecting work, medical heart and brain magnetic measurement and engineering nondestructive detection.

The invention belongs to a distributed automatic test case generation method based on dynamic symbolic execution in the technical field of software test case automatic generation. The method comprises the following steps of: configuration of a test device, pre-processing of a program under test, extraction of a path constraint condition, and automatic generation of the test case. According to the invention, the program under test is separated from a test case automatic generation tool, and the program under test can run on a real platform in test, thus, the collected path constraint condition follows own semantics of the program, is accurate, and is helpful for analyzing complex data structures, thereby improving reliability and validity of test; moreover, multiple programs under test can be tested at the same time, and multiple parallel multi-path selection methods are provided. Therefore, the distributed automatic test case generation method based on dynamic symbolic execution has the characteristics of running the program under test on the real platform, having high reliability, being capable of performing multiple tests at the same time, effectively improving test reliability, test accuracy and test efficiency, having high utilization rate of test tools, and so on.

The invention provides a bank system historical data cleaning method and device, used for cleaning historical data of a database data table. The bank system historical data cleaning method comprises the following steps: formulating a data cleaning rule according to the life cycle and association relationship of the data table of the database; screening data and key values of the data table to be cleaned according to the data cleaning rule, and determining the cleaned data index of the data table to be cleaned; cleaning the data of the data table of the database according to the data cleaning index, and writing the key values of the cleaned data into a backup index file; and generating a cleaning statistics report and recording the cleaned data in the file to save for a set time according to the backup index file, so as to support recovering the file from the file as needed. Through the bank system historical data method and device disclosed by the invention, the cleaning of the historical data can be realized, and efficient and safe operation of the production environment system can be ensured; therefore, the impact of the historical data cleaning process on normal business applications is avoided to the greatest extent, and the probability of affecting the normal applications in the normal production environment after the data cleaning is reduced.

The invention discloses a power distribution network load flow calculation method based on forward-backward sweep. The power distribution network load flow calculation method based on forward-backward sweep comprises the four steps of simplifying a power distribution network into an undirected graph, obtaining an impedance matrix and the undirected graph of the power distribution network to carry out deep search, obtaining a node access sequence of the power distribution network, and using the forward-backward sweep load flow of the power distribution network to work out the voltage of each node, the power of each branch and the loss power of the power distribution network. The power distribution network load flow calculation method based on forward-backward sweep does not need to form a node admittance matrix, does not need to solve a high-order equation set, is simple in calculation formula, is rapid in convergence, is quite practicable and has good application prospects.

The invention discloses an image acquisition method for an inspection robot, and the method comprises the steps: firstly the inspection robot extracting the position information of a target image in the visual field of a camera, and building a world coordinate system through employing the geometric center of the inspection robot as an original point, the forward direction of the inspection robot as an X-axis positive direction, and the vertical direction as a Z-axis positive direction; acquiring motion information of the inspection robot, and finally determining relative motion of the target image relative to the view center of the camera; and according to the offset between the target image center coordinate and the camera view center coordinate, adjusting the angle of the pan-tilt camerauntil the target image center coordinate coincides with the camera view center coordinate, performing target image acquisition and storage, and then the inspection robot continuing to carry out inspection operation. According to the image acquisition method provided by the invention, the inspection robot is ensured to perform image acquisition in the moving process without frequently starting andstopping to call the preset position for shooting, so that the inspection efficiency is improved.

The invention discloses a non-contact temperature measurement device which comprises a controller, a driving circuit, a switching circuit, a resonance circuit, a temperature sensor and a signal detection circuit. Inductance and circuit internal resistance serve as resonant resistance of the temperature sensor, the resistance is small, and therefore the attenuation rate of temperature voltage signals is small during resonance, a plurality of periodic attenuation sinusoidal temperature voltage signals can be generated, and simultaneously device volume is correspondingly reduced. The invention further discloses a temperature measurement method of the non-contact temperature measurement device. The temperature measurement method is characterized in that a sampling signal differential equation is not needed to be solved due to the fact that discrete Fourier transformation is adopted as the basis, and computer analytical calculation is facilitated; and in frequency-domain analysis, the effective signal frequency and the useless interference signal frequency can be separated, frequency-domain analysis is visual in aspect of the physical meaning, signal interference can be reduced as far as possible, and further analysis and process are facilitated.

The invention discloses a free DNA preservation liquid, which includes, based on 100 mL, 8-32 g of imidazolidinyl urea, 0.005-0.036 mol of disodium ethylene diamine tetraacetate, 0-2.7 g of glycine, 50-100 [mu]L of Trition X-100, 0-0.005 mol of a pH stabilizer, and 70-85 mL of deionized water. The free DNA preservation liquid can completely preserve free DNA in urine and tissue fluid of the human body for a medium and long time, is suitable for preservation and detection of free DNA of multiple urine and tissue fluid samples, and is wide in application range. The accuracy and credibility of subsequent sample detection is ensured.

The invention discloses a polarizing microscopic image automatic acquisition and analysis device. The device comprises a main support, a substrate, four rubber feet, an objective table, a control panel assembly body, a mobile slide unit assembly, a camera assembly body and a light source assembly body. According to the polarizing microscopic image automatic acquisition and analysis device, a slice is maintained unmoved through a precision machinery design and raster motor control; a polaroid is controlled by a computer to rotate by a random angle so that the slice and the polaroid can move relative to each other and the observation effects are the same as that of a microscope; and since the slice remains unmoved, the viewing area and angle of an acquired image both remain unchanged, and mineral color change tracking errors caused by slice rotation can be avoided, and the identification statistics at the same field of view and the analysis processing of the image at each angle are facilitated.

The invention discloses a method for automatically identifying structures in front of roads, which has the steps of: extracting a single channel from the color space of an image; carrying out binaryzation treatment to the extracted single channel; connecting connected domains in the treated image; confirming corresponding structures, if geometric areas of images in the connected domains meet a preset range value; selecting an image treatment area according to the coordinates of the structures before or after the binaryzation treatment, or adopting a preset moulding board to carry out wave filtering to the image, so as to filter the typical lines of the image; and adopting lines to mark the structures in the image. The method can effectively identify the structures in the image, has simple process, can carry out wave filtering to the image with different structures so as to filter the typical lines of the image, thus providing convenience for the subsequent image contour identification; and an identified sight is marked by the lines, so as to be convenient for analysis processing during road detection.

The embodiment of the invention discloses an image pickup method and system. The method comprises the following steps: respectively shooting objects by image pickup equipment in an image pickup device, wherein the image pickup device comprises the multiple image pickup equipment, the optical centers of the multiple image pickup equipment are coincided, and overlapping regions exist among images shot by the adjacent image pickup equipment; and splicing and imaging the images shot by the image pickup equipment in the image pickup device. The method and system can be applied to shooting and processing high-resolution or large-scale images.

The invention discloses a taxi appointment management method and a taxi appointment management system. The method comprises the following steps: a management server determines a taxi in accordance with a taxi appointment request according to the taxi appointment request sent by a mobile terminal and a taxi appointment integrity value corresponding to the mobile terminal, and sends taxi appointment information to the taxi; after the taxi receives the taxi appointment information, the management server judges whether the geographical location information of the mobile terminal and the geographical location information of the taxi meet a preset time matching value and a preset frequency matching value in a preset time; and the taxi sends taxi appointment success information or taxi appointment failure information to the management server. By implementing the method and the system of the invention, taxi appointment service consistent with the integrity of passengers can be provided, the integrity of passengers is managed dynamically, and the taxi appointment experience of passengers is enhanced. On the other hand, the enthusiasm of drivers in participating in taxi appointment service is enhanced, and analytical processing of taxi appointment service data by a taxi operating agency is facilitated.

The invention discloses a financial label extraction method and system based on keyword semantics. The method comprises the following steps: configuring a predefined label and a word vector table; extracting a keyword of a public opinion text, extracting a word vector corresponding to the keyword from the word vector table to obtain a keyword vector, and extracting a word vector corresponding to the predefined tag to obtain a tag word vector; and calculating the similarity between each predefined label and the public opinion text based on the keyword vector and the label word vector, and extracting the corresponding predefined label according to the similarity to serve as a financial label of the public opinion text to be output. The multi-dimensional financial tags of the public opinion text can be accurately extracted.

The invention provides a data acquisition and transmission device, system and method for a sewing machine. The data acquisition and transmission device comprises a data acquisition module, a wireless communication module, a control module and a storage module, wherein the data acquisition module is connected with the sewing machine and is used for collecting a working signal of the sewing machine and transmitting the working signal to the control module; the control module is used for obtaining working data of the sewing machine according to the received working signal of the sewing machine, transmitting the working data of the sewing machine through the wireless communication module and locally storing the working data into the storage module; the wireless communication module is used for achieving wireless data transmission between the control module and a remover server; and the storage module is used for storing the working data of the sewing machine. According to the data acquisition and transmission device, system and method for the sewing machine, the working data of the sewing machine can be acquired in real time and transmitted to the remote server, so that clothing enterprises can better analyze and process the working data of the sewing machine to improve the enterprise benefits.

This invention relates to portable automobile pedal electro-magnetic hypersonic wound detecting device, wherein, the host machine hypersonic frequency signal generator generates hypersonic frequency signals through logic control unit power amplifier; the electro-magnetic hypersonic energy exchanger generates hypersonic surface wave near surface to send along surface and receive the feedback hypersonic surface through electro-magnetic wave and then sending it to the programmable amplifier into digital signals then through logic control unit to directly send to the memory or through digital process unit to the memory.

The invention provides a vibration table ultra-low frequency sine sweep signal amplitude recognition method based on sampling in a variable sampling rate. Firstly, vibration table vibration signals, those are, vibration table sweep signals are acquired and obtained through a vibration sensor arranged on the vibration table; then, the acquired vibration table sweep signals are subjected to anti-aliasing filtering through a low-pass filter to filter the high-frequency part; vibration table sweep signals at equal phase intervals are obtained through a variable sampling rate sampling method; and finally, a least square fitting amplitude recognition method is adopted to realize sweep signal amplitude recognition. The variable sampling rate sampling method is adopted to change time-varying sine sweep signals to standard sine signals, and the signals can be analyzed and processed conveniently; due to the least square fitting, the non-full period signal amplitude can be obtained; the real-time performance requirements of vibration control can be ensured; and due to the combination of the two, the problems of time varying and the non full period existing in ultra-low frequency sine sweep signal amplitude recognition are solved.

The invention discloses a laser-assisted atomization micro-arc oxidation device which comprises a dual-pulse power supply, a main control computer, a workpiece, a circulation pump, an electrolytic cell, an atomization device, a cathode module and a numerical control machine tool moving spindle. For the device, by performing laser-assisted atomization, the concentration of an electrolyte jetted byan atomization head under the circulation effect of the atomization device and distribution of conductive ions in a solution are uniform, the problem of solution fluctuation brought by a stirring device is solved so as to solve the problem that potential is lacked self in the existing micro-arc oxidation method, a generated electric field environment is uniformly distributed, and the uniformity ofprocessing the surface of the workpiece is improved. Meanwhile, laser light of a pulse laser in a cathode sleeve illuminates the workpiece laterally, metal ions on the surface of the workpiece acquires energy, an auxiliary electrode activates the metal activity of the surface of the workpiece, and the cathode module exerts the auxiliary heating effect to the workpiece, so that the limitation of the workpiece in a large size to a power of a power supply is solved.

The invention provides a log reporting method, a device, an electronic device and a computer-readable storage medium. The log reporting method can monitor the state of the test event, and when the test event has error information, obtaining a log corresponding to the error information in time, to achieve the goal of rapid response, and further analyzing the target log, Get Key Fields, and according to the key field, comparing the target log with each log of the stored log data in the mass data, when the similarity between the target log and each log of the stored log data is less than or equalto a preset value, Obtaining the category of the target log, thereby pertinently reporting the target log according to the category of the target log, so that the log has a clear classification, anddata federation is realized, which is not only convenient to view, but also conducive to further analysis and processing through the log.

The invention discloses a harmful organism information management system. An Android client includes a site location management module, an area management module and a terminal report module, whereinthe site location management module is used for creating, managing, and deleting sites, the area management module is used for performing area information management, and the terminal report module isused for putting various data into statistics; and a dynamic site location database used for storing site location two-dimensional codes and poison bait delivery conditions is arranged in the site location management module. A site management system includes an APP interface for exchanging internet data with the Android client, a map search engine storing a map database, and a background management interface connected with a PC terminal; and the data exchange port of the background management interface is connected with a background information management module for processing the various data, and a background statistics module for comprehensive data processing. With the harmful organism information management system of the invention adopted, the dynamic planning and management of poisonbait sites are realized; all information data of the sites can be recorded in real time; the distribution of the sites can be adjusted in time, so that an early warning plan can be formulated; and disinfection and killing capacity can be greatly improved.

The invention discloses an indoor navigation system based on a shopping cart, which includes a navigation terminal, a shelf label and a data processing center. The processing center is connected by wireless network communication; the navigation terminal includes: a display module, an RFID read-write module, an input module, an information sending module, and an information receiving module; the shelf label is an RFID tag; the data processing center includes: information Receiving module, information sending module, storage module, analysis and processing module. It is convenient for customers to quickly and accurately find the target shopping items in the huge supermarket, which greatly improves shopping efficiency.

The invention discloses a structured processing method of distributed network information. The method comprises the following steps: configuring a network information acqusition task, and saving interesting webpages of a user in category to serve as target webpages; acquiring the network information, cooperatively acquiring the webpages through multiple map / reduce processes, performing structured processing and saving in an HDFS (Hadoop Distributed File System) file system; performing structured clustering on the webpages after the structured processing by using a tree edit distance mode; performing structured extraction on the clustered webpage information, and saving in a database. A distributed architecture is adopted, a huge data volume of network data can be processed by using the calculation and storage capacity of a cheap computer cluster; the webpages are effectively classified; the network information is extracted and saved by using the structured mode, and further analytical processing of the network information is facilitated.

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 discloses a fault detection and classification method of a valve-controlled electro-hydraulic servo system based on an observer group, comprising: step 1) of performing module division on the system; step 2) of modeling for a common fault; step 3) of reorganizing a system state equation according to a state space distribution of the fault, and establishing a reorganized actuator fault state equation and a reorganized sensor fault state equation; step 4) of constructing a nonlinear robust fault detection and isolation observer group; step 5) of detecting a system fault, namely judging whether a fault exists in the system; and step 6) of starting a fault isolation observer group for judging the type of the fault once it is judged in step (5) that the fault exists in the system.The invention has the advantageous effects that: the invention can perform real time state monitoring and performance prediction on the valve-controlled electro-hydraulic servo system, and can perform automatic online judgment of whether the fault exists in the system and which fault occurs under an unknown time-varying external interference force.