1832results about How to "Quick judgment" patented technology

A document retrieval system is provided which has a document display interface which is easy to recognize the important portions even if a document retrieved by using a query expression designated by a document or a long sentence is displayed. When a text is registered, predetermined character strings and location information which are extracted from the text are stored in a location information file. A weight of each character string is calculated by a predetermined method and is stored in a weight file. In retrieving a document, predetermined character strings are extracted from a designated query expression. A similarity is calculated between the query expression and texts in the database by using the location information and the weights acquired from the location file and the weight file. In displaying the document, character strings having the high weights are extracted from the character strings used for the retrieval. Then, the display format of a portion which contains the extracted character strings is changed to display the text.

The invention relates to an empty bottle wall defect detection method, which comprises the following steps: shooting two images by using a camera before and after the same empty bottle is rotated for 90 degrees during advancing, then transmitting the images to a CPU of an industrial personal computer to perform analysis on the images, and judging whether the bottle wall has defect. Image processing comprises the following steps: A, scanning edge point pairs on a bottle neck, positioning the bottle wall, and dividing a detection area of the bottle wall to perform subarea processing; B, pre-processing image data in the positioned area by adopting a grey stretching method; C, partitioning the images by adopting a maximum between-cluster variance method to acquire target information; and D, performing connectivity analysis on the partitioned bottle wall images, extracting characteristic data of each defect, and judging whether each detected connected domain has real defect according to the mass center position, posture ratio and area characteristic of the connected domain. The invention discloses a detection device used for the detection method at the same time. The detection method and the detection device are easily applied in detection equipment of an industrial flow line so as to realize automatic high-speed accurate detection on the empty bottle wall defect.

The invention relates to a technology for performing foundation pile quality detection and geology survey by adopting a single tube longitudinal wave method. The technology is relevant to comprehensive testing of the actual using effect of a foundation pile and is characterized in that longitudinal wave transmitting downwards along a pile body is generated by knocking the top surface of the foundation pile, the longitudinal wave velocity and pile length of the foundation pile can be accurately measured by detecting the time difference of arrival of the longitudinal wave in a sounding pipe, and the quality of pile body concrete can be judged; actual measurement on the time difference of arrival of the longitudinal wave which is transmitted from the pile side soil along the knocked pile body can be conducted in adjacent pipelines or geological bore holes, and the length of the foundation pile, the pile body quality and the chambering degree can be measured; and the wave length of a geological soil layer can be measured, the condition of the geological soil layer around the pile can be judged, and the rock-inlet condition of the foundation pile can be analyzed. By means of the technology for performing foundation pile quality detection and geology survey by adopting the single tube longitudinal wave method, a signal processor can be configured externally or inserted in on the basis of the existing low-strain ultrasonic detection devices and the like, the technology can achieve foundation pile quality nondestructive testing and geology survey, is an economic and ready-made pile foundation nondestructive testing auxiliary validation method and can remarkably improve accuracy and service level of pile foundation quality decision.

The invention provides an industrial boiler monitoring and analysis assistant decision-making cloud platform system, which comprises a data collector and a cloud-end server, wherein the data collector is used for collecting industrial boiler real-time monitoring data such as boiler operation parameters and environmental protection monitoring data in real time; the cloud-end server comprises a data analysis module and a data displaying module; the data analysis module is used for analyzing the real-time monitoring data to acquire analysis statistics data such as the operation data and the economic data of the industrial boiler, detecting an alarming event to acquire alarming information, detecting the operation condition of instrument equipment of the industrial boiler, providing maintenance information, judging a field fault reason and providing optimization recommendation; and the data displaying module is used for displaying the real-time monitoring data, the analysis statistics data, the alarming information, the maintenance information and the optimization recommendation. The invention can provide a regional industrial boiler remote monitoring and assistant decision-making platform integrating functions of online monitoring, automatic diagnosis, safety early warning, maintenance promoting, optimization recommendation and the like for various parameters for operation of the boiler as a whole.

The invention discloses a face detection method and device adopting a cascade classifier, relating to the field of video monitoring. The face detection method comprises the following step of: carrying out face detection on rectangular windows with different positions and sizes in a current image to be detected by adopting a light type cascade-structure classifier to detect face windows, wherein each level of the light type cascade-structure classifier is a weak classifier. For a large quantity of windows to be detected in one image, relative to a scheme that a cascade-structure classifier is bound to eliminate partial non-faces after computing the results of all weak classifiers of a strong classifier, each weak classifier of the light type cascade-structure classifier can eliminate the partial non-faces, and therefore faster detection speed can be achieved, and the real-time detection of faces is further realized on megapixel high-definition videos.

The present invention discloses a river basin water environment integrated perception and application method based on the Internet of Things and a 3S technology. The method comprises three parts: remote sensing monitoring, Internet-of-Things monitoring and GIS analysis. The remote sensing monitoring is used for extracting, by using a remote sensing technology, an ecological environment factor thematic map coupled to a water body, and rapidly positioning a water environment change target area; the Internet-of-Things monitoring is used for transmitting over an ultra-long distance, by building a wireless sensor network and combining a general packet radio service technology, data monitored by water environment sensors, and storing the data into a database of a server; and the GIS analysis is used for management and analysis of spatial data, and generating a river basin water environment thematic application. According to the method disclosed by the present invention, the water environment condition of the monitored area can be rapidly and accurately determined, the water environment of river basins can be more timely and efficiently perceived in real time, and the level of monitoring and comprehensively treating the water environment of the river basins is improved.

The invention discloses a multi-path monitor video management method and device and relates to the management method for server side intelligent video detection and background multi-path videos. The method comprises the following steps: receiving pictures of multi-path monitoring cameras through a server, detecting targets of the picture images and carrying out target tracking according to the target detection results; and carrying out abnormity detection on the picture of each path of video according to the target detection and tracking result, carrying out classification on the abnormity and recording event attributes; and establishing a database and creating an index according to the abnormity classification and other abnormity attributes. The multi-path monitor video management method and device help people to search clues quickly in mass monitor videos, thereby saving time; not only manpower resource investment in conventional video monitoring can be reduced, but also abnormal conditions in videos can be judged quickly and efficiently; and the method and the device provide an unified plan for the videos globally, so that when people search the recordings, the trouble of multi-person multi-video searching is saved, and efficiency is improved.

A car driver driving skill practice guiding an examination scoring device comprises a core plate and an interface baseplate connected with the core plate, wherein the core plate comprises a DSP digital processing unit, an embedded MCU micro-controller, a program storage, a data storage and interface connector plugins; the DSP digital processing unit and the embedded MCU micro-controller are taken as the center namely a hardware platform of the device; the DSP digital processing unit is responsible for processing digital audios and digital video so as to obtain state data required by movement locus of an examination vehicle and other information; the embedded MCU micro-controller provides an operation platform for an operating system; and in addition to the interface connector plugins, interfaces containing corresponding interface circuit devices are also arranged on the interface baseplate. A realization method for car driver driving skill practice guiding an examination scoring, by means of the device, can improve the reliability of measurement data of the actual position of the examination car. Therefore, the integration level of functions of the vehicle-mounted equipment is improved, and the purchase and the maintenance cost for the customer are lowered.

The invention provides a comprehensive safety intelligent monitoring method capable of effectively and quickly judging if such abnormal activities as trapping, falling and violence are generated in a car to timely and accurately give an alarm so as to effectively relieve the burden of monitoring staff. The comprehensive safety intelligent monitoring method specifically comprises the following steps: an image shot by a camera with a fixed position is used as a background model; a differential image is obtained through a difference between a present video frame and the background model by a background subtracting method; the binarization processing is performed for the differential image according to a binarization formula; then, the noise is removed through a morphology filtering algorithm; finally, the area communication analysis is performed for the noise removing result; the edge profile of the binarized image is extracted by a Canny operator; and the extracted foreground profile is compared with a human body image template library by a template matching algorithm to judge if one or more persons are in the car and if the abnormal activities are generated to trigger warning.

The present invention discloses a method for detecting corona discharging and a device thereof. The method includes steps as follows: A. ultraviolet imagery instrument image-forming; B. collecting the image-forming data to a computer through an image collecting card; C. processing through an image processing program: processing data collected by an image collecting module through the image processing program, the image processing includes: intercepting picture in the video, extracting image, processing image layer extractor to the image, spatial filtering processing, then valve quantity, stating an irradiancy area and a total area in the image, then comparing and obtaining the irradiancy area ratio, finally, obtaining the irradiancy area ratio for characterizing corona strength which includes: a ultraviolet imagery module, an image collecting module, an image processing module, a display module, the image collecting module connects with the ultraviolet imagery module and the image processing module, the image processing module connects with the image collecting module and the display module respectively. The device has simple operation, stable testing and reliable data which can provide direct and obvious data for user.

The invention discloses a method for correcting a text image and belongs to the field of optical character recognition. The method comprises the following steps of: positioning a character zone in the text image and extracting suspected characters; recognizing the suspected characters, wherein if the recognition reliability is higher than the reliability reference value of a single character, the effective direction of the characters is positive, otherwise, the suspected characters are rotated counterclockwise respectively for judging the effective direction; extracting and sending the characters having the effective direction to an effective character set; extracting the corresponding text direction until the accumulated value of the recognition reliability in a certain direction is higher than the predetermined recognition reliability; correcting the direction of the image and recognizing and outputting the text image. The method effectively eliminates the influence from unreliable characters, prevents the unreliable zone in the character zone from influencing the judgment of the character direction, is well suitable for the text images having complexity or noise or poor quality and can judge the direction of a text image fast and correctly so as to effectively recognize the text image.

The invention provides a method for detecting and evaluating deposits in a metal tube and a device thereof. The method comprises the steps: 1) knocking the exciting part of the metal tube through an exciting device to excite acoustic waves capable of reflecting the pulse response characteristics of the structural body; 2) sending and acquiring the excited acoustic wave signals through a microphone and a data acquisition card; 3) recording sounds through an acquisition software and storing the sounds in a computer; 4) carrying out wavelet packet analysis, time domain analysis and/or spectrum analysis on the signals, computing characteristic parameters such as energy value of each spectrum, duration of time domain signal and/or maximum resonance frequency amplitude of spectrogram of the wavelet packet analysis; and 5) inputting the characteristic parameters into a neural network expert diagnosis system for identification, determining whether the deposits exist in the tube or not and quantifying the deposits, and evaluating the plugging degree in the tube according to the quantification result. The device comprises an exciting device, a microphone, and a computer having a data acquisition card, wherein the microphone is fixed at the metal tube, and the microphone and the data acquisition card are connected with the computer host respectively.

The invention discloses an optical flow estimation method based on multiple dimensioned corresponding structuring learning; under given successive video frames, the method can parse the motion conditions of the first frame relative to the second frame; the method specifically comprises the following steps: obtaining a successive frame image data set used for training optical flow estimation, and defining an algorithm object; carrying out structuring modeling for correspondences between two successive frame images in different dimensions; joint encoding the corresponding relations in different dimensions; building an optical flow estimation prediction model; using the prediction model to estimate the successive video frame optical flow values. The optical flow estimation method is applied to the optical flow motion analysis in true videos, and can provide better effect and robustness under various complex conditions.

The invention is suitable for the implementation field of accident management in a nuclear power station and a method of settling a severe accident for an improved 1000MW class PWR nuclear power station is provided. The method comprises the following steps of: reading measured data of the nuclear power station in a severe accident condition and judging the severity degree of the accident according to the data; determining the execution sequence for the diagnosis tree of the accident condition in a severe accident management guidance and the logical sequence for the condition of accident diagnosis in the diagnosis tree of accident condition according to the severity degree of the accident; entering the corresponded diagnosis tree of the accident condition according to the severity degree of the accident and diagnosing the accident according to the condition of the accident diagnosis in the diagnosis tree of the accident condition and entering the corresponded accident management guidance. Through the judgment of the severity of the accident and according to the diagnosis tree of the accident condition, the invention diagnoses and settles the accident with symptom as the guide and with pertinence, thereby realizing efficient, quick and correct judgment and settlement of the accident when the accident happens.

The invention discloses a network intrusion detection method and device based on deep learning and a storage medium, which are used for improving the network intrusion detection efficiency and detection precision. The deep learning-based network intrusion detection method comprises the steps of extracting original data from a to-be-detected network connection; preprocessing the original data, andconverting the preprocessed original data into first picture format data; and based on the first picture format data obtained by converting the original data, performing detection by using a preset network intrusion detection model, the network intrusion detection model being obtained by training network connection sample data in a training data set by using a convolutional neural network.

This invention relates to capacitor thickness sensor and its test method in the field of automatic testing technique, which is characterized by the following: forming testing circuit by the capacitor measurement circuit and single machine control circuit and the sensor inside scale code switch circuit through one set of metal capacitor test pole slice and metal capacitor testing pole slice space; generating scale code switch control signals along certain order by the senor inside single machine control to connect metal capacitor test pole slices adjacent two metal capacitor test pole slices to test the capacitor value and to determine the ice layer thickness sensor.

The invention provides a K-shortest path computing method and a device, belonging to the field of path computing technology. The computing method comprises the following steps: working out the minimum spanning tree of the total-network topological graph of traffic engineering links in current optical network; sequencing compulsory links or compulsory nodes in an optical pass to be established on the minimum spanning tree obtained by computation; carrying out segment computation according to sequenced compulsory links and compulsory nodes, and assembling the paths obtained by segment computation into a K-shortest path. The failure probability of path assembly caused by the randomness of the compulsory links and the compulsory nodes can be avoided effectively through sequencing the compulsory links and the compulsory nodes on the minimum spanning tree obtained by computation; in addition, the invention can judge the path accessibility more quickly, effectively improves the success rate of path assembly, and facilitates improving the reliability of path computation.

A coordinate measuring machine includes: a probe for measuring an object; a movement mechanism for moving the probe; and a motion controller for controlling the movement mechanism. The motion controller includes: a current value detecting unit that detects a current value for moving the probe by the movement mechanism; and a load judging unit that judges a status of a load applied on the movement mechanism based on the current value detected by the current value detecting unit and a threshold that is set in accordance with a target speed for moving the probe by the movement mechanism. The target speed is in proportion to the threshold.

The invention discloses a screening method for 110 types of medicines in feed, which specifically includes the following steps: preparation of standard work solution, pre-analysis treatment of sample to be assayed, creation of database and qualitative analysis. By utilizing the high-sensitivity MSMS (Tandem Mass Spectrometry) function of a liquid chromatography-tandem quadrupole time-of-flight mass spectrometer, the screening method can accurately determine parent ions and daughter ions in medicines and rapidly determine added medicine ingredients, moreover, an assay method for a variety of antibacterial medicines in feed is also established, and for a variety of added antibacterial medicines in the feed industry in China, the screening method has a highly efficient, accurate and precise assay measure, and is at the advanced level in china at present. The screening method established by the invention greatly solves the phenomenon of arbitrary addition in the feed industry, the more precise and accurate assay method is perfected for the inspection department, more time is saved, most of experimental consumables are saved, and the invention makes an immeasurable contribution to food safety and human healthy life.

The invention relates to a power line carrier communication-based power failure fault rapid positioning method, and belongs to the technical field of power line carrier communication. The method comprises the following steps that a station module STA of a carrier communication sub-node is configured for each electric energy meter; a master node coordination module CCO is configured for a concentrator, a system master station issues user archive information under a transformer area to the concentrator, the concentrator synchronizes with the CCO after receiving the information, and networking isperformed on STA and networking information is configured through the CCO according to the user archive information; according to the routing relationship between each STA and the CCO, a time slot number and a hierarchical number are allocated to each STA; when the electric energy meter is powered down, the super-capacitor standby power circuit is started to supply power; the STA generates a power failure event reporting frame according to the networking information configured by the CCO and reports the power failure event reporting frame; the system master station obtains a corresponding power failure fault position according to the node time slot number contained in the reporting frame; rapid study and judgment and accurate positioning of low-voltage customer power failure faults can berealized.

The invention discloses an anti-deception three-dimensional face recognition method based on information fusion. The anti-deception three-dimensional face recognition method comprises: 1, collecting and processing color images and depth images of a plurality of real faces; 2, establishing Gaussian distribution models of a plurality of real faces according to the depth information of the key pointsin each depth map, and determining a threshold range of Gaussian distribution parameters of the real faces; 3, establishing a Gaussian distribution model of the to-be-recognized face, comparing and judging the Gaussian distribution model parameters of the to-be-recognized face with the threshold range of the Gaussian distribution parameters of the real faces, if the to-be-recognized face is judged to be the real face, executing the step 4, and otherwise, not performing face recognition; 4, constructing a deep convolutional neural network and training the deep convolutional neural network; and5, inputting the to-be-recognized face image into the trained deep convolutional neural network for recognition, and outputting a recognition result. By analyzing and modeling the face depth information and fusing the face depth information at the data end, a lightweight network is constructed, and the performance of the whole face recognition system is improved.

The invention provides a method for judging whether continuous phase changing of a direct-current system fails on basis of short-circuit ratio dynamic tracking. The method includes the following steps of calculating the ESCR and the MSCR i of an alternating-current system under the condition that the alternating-current system operates normally, calculating the ESCR and the MSCR i of the alternating-current system under the condition that line faults occur and power is cut off, sequencing the line faults, combining the poorest interlocking fault sets, calculating the ESCR 1 and MSCR 1 of the alternating-current system on the condition of interlocking faults, and judging whether phase changing fails. By means of the method, feature analysis is carried out on transient voltage instability accidents which probably exist in existing and planned alternating-current and direct-current hybrid power grids, fault screening and sequencing can be effectively carried out according to hazard degrees of alternating-current faults to stable operation of the direct-current system, by combination of the current transfer situation after the faults, the interlocking fault sets are reasonably built, and failures of continuous phase changing of the direct-current system and received-end power grid voltage instability risks after the faults can be quickly evaluated.

The invention relates to a power grid accident correlation reason backtracking method based on data mining and visualization, and belongs to the field of intelligent retrieval. The method comprises the following steps: S1, data mining; S2, accident event tracing retrieval; S3, displaying a tracing process in combination with a lexicon association rule; When the electric power system is in an operation state, if the system has a problem, the action information of the protection device can transmit the related information of the fault to the dispatching center; Fault information is imported intoan intelligent analysis system fault data mining algorithm is established, fault data can be analyzed, fault characteristics can be extracted, historical accident event data can be collected, mesh topology display can be carried out according to other operation information associated with the elements, and scheduling personnel can be assisted to investigate accident events, so that the system operation personnel can quickly judge and process power system faults.