184results about How to "Master fast" patented technology

The invention relates to the technical field of classified garbage bins, in particular to a garbage bin capable of achieving intelligent classified recovering and a classification management method. Classified garbage bin bodies are included, each the classified garbage bin body is provided with a garbage input door, a detecting device, a garbage putting device and a controller, wherein the controller sends an opening signal to the garbage input door of the corresponding classified garbage bin body for garbage putting after receiving a garbage putting type signal selected by a garbage puttingperson and sending a signal for detecting the garbage class to the detecting device, after detecting is completed, the controller sends a signal for controlling opening and closing of the garbage putting device to the garbage putting device according to a detection result, and simultaneously a closing or delay closing signal is sent to the garbage input door. By means of the garbage bin and the classification management method, whether the put garbage class is right or not can be automatically identified, the putting person is reminded to put the garbage again as for mixing garbage or garbagewith classification errors, reward points are used for increasing the active recycling awareness of people to the garbage, and mastering of the garbage classification knowledge by people is promoted.

The invention relates to a knowledge graph construction method and device. The knowledge graph construction method includes the steps that all nodes at the same level in an initial knowledge graph are acquired; then, in set media groups, initial public-opinion data of each node in a set time period is obtained separately, wherein the set media groups include a plurality of media, and the initial public-opinion data can reflect public opinions of the nodes; finally, according to the initial public-opinion data of the nodes, the value of each node is evaluated. According to the knowledge graph construction method and device, a manual intervention method is not adopted, the initial public-opinion data of the nodes is obtained on the basis of the public opinions, then, the value of each node is determined according to the initial public-opinion data, and because the media have specific sensitivity on all characteristics of emerging industries, the most valuable node can be identified more effectively by the adoption of the scheme for determining the value of each node on the basis of the public opinions.

The invention discloses an intelligent alarming method based on video human body behavior identification. Specifically, the intelligent alarming method comprises the steps of: acquiring video behaviorinformation by means of an information acquisition module, acquiring position information by means of a positioning module, and performing identification and analysis on the acquired behavior information of a person; transmitting identification information to an intelligent alarming module after identifying an alarm behavior; and finally, sending out alarm to surrounding guard stations automatically by means of the intelligent alarming module through analyzing surrounding police force distribution situations, recommending the optimal guard station to act for confirmation, making confirmationby a relevant policeman arriving at the field at the fastest speed after receiving the alarm signal, and automatically releasing the alarm by means of the alarm module. Thus, a victim can alarm quietly without being found by a criminal, vital interests of the victim can be better protected, the probability of being rescued of the victim is increased, the policeman can grasp the relevant police intelligence quickly, and can arrived at the crime scene to stop the criminal behavior.

The invention discloses an industrial process fault classification method based on self-adaption integrated semi-supervision Fisher discrimination. The method comprises the steps of when off-line modeling is conducted, firstly conducting off-line modeling on unlabeled data, and constituting a semi-supervision random training subset by combining labeled data with the unlabeled data; when iteration training is conducted on a sub classifier each time, conducting semi-supervision Fisher dimensionality reduction to obtain a Fisher discrimination matrix, and obtaining a posterior probability matrix, a combined weight of the sub classifier and a sample weight of the labeled data during next time iteration with the labeled sample data after dimensionality reduction according to a Bayesian statistics method; adopting the posterior probability matrix of the labeled data and a label of the matrix as a training set of a fusion algorithm K near neighbor; during online classification, calling each sub classifier to obtain the posterior probability matrix of an online sample to be detected, and inputting the posterior probability matrix into a fusion K near neighbor classifier with the weight to obtain a final result. Compared with an existing method, the industrial process fault classification method based on the self-adaption integrated semi-supervision Fisher discrimination improves the fault classification result of an industrial process, and more facilitates automated implementation of the industrial process.

The invention is a hand data collection terminal, comprising microprocessor, display module, infrared communication module, real-time clock, JTAG interface, reset circuit, memory, active oscillator, coulometric detector, keyboard detector, scanner interface, power supply module, buzzer, indicator light, backlight, photosensitive diode and extended system bus; it is integrated with a self-developed embedded operating systemí¬HQOS, ARM structured CPU hardware platform, laser scanning module, infrared communication module, etc. It reads bar code data by bar code scanner and then stores the bar code data, uses the infrared communication module to transmit the collected data to a user PC for storing a database. It can be widely applied to the bar code data collection for commercial retail, logistics and warehousing, medical treatment and health care, mobile meter reading and other mobile operations, etc.

The invention provides a preparation method and application of a micro-fluidic chip based on the 3D printing technique. The preparation method comprises the following steps: (1) designing a micro-fluidic pipeline, namely printing filament through a 3D desktop printer, wherein the filament is used as the channel mold plate of the micro-fluidic chip and made of acrylon-bivinyl-styrol copolymer, polylactic resin and vinol; (2) transferring the printed filament into a watch glass and fixing the filament on a substrate, then pouring PDMS colloid, curing, demolding, punching and bonding to prepare the micro-fluidic chip. The invention further relates to the application of the micro-fluidic chip in surface enhanced Raman detection. The preparation method is simple, rapid in processing and very cheap in cost, no complex micro-processing technique such as photo etching and developing is needed and the micro-fluidic chip can be prepared under a general experiment condition; the micro-fluidic chip is convenient to popularize and can be widely applied to the fields of human health, food safety, environment detection and medical diagnosis.

The invention discloses an image processing-based heliostat fault diagnosis method and system. The method further comprises the following steps of: (1) acquiring images of a heliostat in the same target area to obtain at least two two-dimensional images in the same scene; (2) calculating the practical attitude data of the heliostat; (3) calculating the theoretical attitude data of the heliostat according to a solar altitude, an azimuth angle and a relative position between the heliostat and a heat absorber at an image acquiring moment; and (4) comparing the practical attitude data of the heliostat with the theoretical attitude data of the heliostat to judge whether the heliostat is faulted heliostat, wherein the step (2) further comprises the following steps of: calculating the practical attitude of a target heliostat at the same moment by using a binocular vision three-dimensional measuring algorithm; and judging the position information and the serial number of the heliostat. Due to the adoption of the method and the system, the defects of high cost and complex installation existing in the conventional close-loop fault diagnosis method are overcome; and a computer image processing technology is adopted, so that fault diagnosis of the heliostat is realized automatically, rapidly, conveniently and accurately.

The invention relates to a service studying examination system based on a random algorithm. The system comprises a question extracting module, a random arrangement module, an examination paper customizing module and an analyzing module. The question extracting module extracts questions according to different requirements for service studying and examination. The random arrangement module performs random sequencing on question titles and options which correspond with the titles. The examination paper customizing module performs customizing on the randomly sequenced questions, generating the examination paper, buffering current examination information of a user and transmitting the current examination information to the analyzing module after examination is finished. The analyzing module is used for acquiring examination index data, receiving the current examination information which is transmitted from the examination paper customizing module, obtaining an examination result and obtaining an examination result according to the examination index data. According to the system of the invention, on the condition that the same examination paper is customized for examinees, the questions and the options are randomly arranged, thereby realizing a cheat preventing function, ensuring high fairness in examination, and maximally improving mastering of knowledge points by service personnel in a training process and an examination process.

This invention relates to a RFID device based on 802.11b including a microprocessor, a radio communication module based on 802.11b, a reset circuit, a real time clock, a crystal oscillator, a storage, a reader, a supply management. a label, a buzzer and system bus expansion, in which, said terminal integrates the CPU hardware platform, a RFID RF device and a radio communication protocol of 802.11b of the inserted operation system-uClinux and ARM structure, the reader transmits RF signals of certain frequencies by the antenna, when the label enters into the antenna working region, it generates induced current, the energy got by the label is ectivated to send its own code information to outside by a built-in emission antenna, the system receiving antenna receives carrier wave signals from the label to be transferred to the reader via an antenna regulator, which demodulates and decodes the signals and sends them to the background master system to be stored in a user data storage region and finally to be processed by 802.11b radio communication protocol to be transferred to the PC unit of the user for further analysis and process.

The invention discloses a supervision-based industrial process fault detection method of a linear dynamic system model, and is applied to fault detection under the condition of obtainable quality variables in an industrial process. By use of the linear dynamic system model and the quality variables, the linear dynamic system model with supervision is established, and the dynamics of a process and the randomness of data are taken into consideration. Compared to other conventional methods, the method provided by the invention not only improves the fault detection effect of the industrial process, but also enhances the grasp of process operators for process states, and enables industrial production to be safer and product quality to be more stable; and the reliance of the conventional fault detection method on process knowledge is improved to a quite large degree, and automatic implementation of the industrial process is better facilitated.

The invention belongs to the field of traffic management and control and particularly relates to a guidance system for parking in an urban region. The system is mainly characterized in that region-based parking guidance is carried out according to colors and landmarks; colors of partial main roads and areas or colors of landmark buildings and the total number of parking spaces in the region are mainly displayed on guidance screens, it is unnecessary that all information like the names of parked cars is displayed on the guidance screens, and therefore the situation that drivers can not master all parking information in the limited driving time because a large amount of information is displayed on traditional guidance screens is avoided; the guidance screens are simple in layout, easy to understand and high in recognition performance, wherein the first-level guidance screen is mainly used for enabling the drivers to roughly know about the positions of target communities through the colors and the landmarks, the second-level guidance screen is mainly used for enabling the drivers to correctly drive to target parking lots through different colors and distances, and the three-level guidance screen is used for enabling the drivers to see entrances of the target parking lots in the distance through the colors corresponding to the colors of the second-level guidance screen.

The invention discloses a driver character recognition method. The method includes the steps that firstly, experimental data are acquired through multiple sensors and filtered; secondly, the filtereddata are normalized, then cluster analysis is conducted on the data, and time series segmented data are obtained; thirdly, a double-layer HMM model base is established and comprises a lower-layer behavior recognition layer and an upper-layer character recognition layer, and the upper layer recognizes the characters of a driver according to a lower-layer behavior recognition result; and fourthly, model verification is conducted. An established recognition model can be closely related to the reality, the characters of various driving conditions of the driver are recognized in combination with the practical condition, the model is further close to the reality, and universality and popularization are high. Based on the hidden Markov model (HMM) theory, the credibility of the obtained factor weight is high.

The invention discloses a teaching video processing method, device and system, and relates to the technical field of data processing. The method comprises the following steps: enabling a client to receive a video answering node sent by a server; acquiring playing information in the teaching video playing process; judging whether the current video answering node is reached or not according to the playing information; and if it is judged that the current video answering node is reached, acquiring and outputting to-be-answered information corresponding to the video answering node, wherein different video answering nodes have respective corresponding to-be-answered information. By applying the invention, the watching and learning effects of learners can be effectively enhanced. Meanwhile, dueto the fact that the interactive effect of practicing answering is added, boring feelings of learners for watching videos and learning for a long time can be reduced, the concentration degree of learning is improved, and the purpose of strengthening the final effect of video teaching can also be achieved.

The invention discloses a management system and method for a steel-making argon blowing ladle. The management system for the steel-making argon blowing ladle comprises a data collecting module, a data storing module, a data analyzing module, a state setting module, a thread managing module, a flow process controlling module and an interface displaying module. The method includes the steps that the PLC data collecting module collects data and sets all equipment in the working procedure in the corresponding state; the data analyzing module judges whether the ladle can exit or enter an argon blowing station; the flow process controlling module is displayed through an interface. The automation signal data are automatically collected through the on-site equipment, real-time logical analysis and judgment corrected to one second are supported by using network and data base resources, and signal data logs of a production site are stored. Operation of an operator on the client side is not needed, the production conditions of the on-site equipment are accurately reflected in time, and whether the ladle exits or enters the argon blowing station is displayed on a steel-making production scheduling system in real time. Mastery of on-site conditions for steel-making production scheduling of a steel-making enterprise is improved through real-time display of the human-computer interface.

The invention provides a kit and a test paper strip for serum immunoglobulin E colloidal gold chromatography quantitative detection. The kit includes: a colloidal gold marked mouse-anti-human IgE monoclonal antibody, a rabbit-anti-human IgE polyclonal antibody, and a goat-anti-mouse IgG antibody. In the invention, the colloidal gold immunochromatography technology is employed, and the kit and the test paper strip need to be combined with an immunochromatography result interpretoscope. The kit and the test paper strip are easy to use, are free of training and can be rapidly learnt, are free of large-size devices and are suitable for primary laboratories or community laboratories.

The invention relates to a hand data collecting terminal based on GPRS communication, which comprises: a microprocessor (1), a display module (2), a infrared communication module (3), a real-time clock (4), a GPRS module (5), a recover circuit (6), a memory (7), a active quartz-oscillator (8), a electric quantity detector (9), a keyboard detector (10), a scanner interface (11), a power module (12), a buzzer, a indicator light, a backlight light, a sensitive diode and a system bus extender. The terminal integrates the embedded operation system as HQOS, ARM CPU hardware platform, laser scanner and infrared communication module. The invention via bar code scanner reads and stored the data; and uses the infrared communication module to transmit collected data to the PC; or via GPRS module to transmit collected data to remote server. The invention can be used to collect the bar code data.

The invention discloses a safe vehicle following distance control system based on vehicle-road cooperation. The system comprises a vehicle-mounted GPS module in communication connection with a vehicleECU, a plurality of road side units arranged on the road side at intervals, and an edge industrial personal computer in communication connection with the road side units. Vehicle speeds are collectedand fused through a speed sensor and a vehicle-mounted GPS module, the fused speed is sent to the edge industrial personal computer, and a safe vehicle following distance is obtained through calculation and sent to the ECU of a rear vehicle; and when safe vehicle following driving is not met, an ACC system of an intelligent vehicle intervenes to reduce the driving speed. The invention also discloses a control method thereof. According to the invention, safe driving of the intelligent vehicle in the following state can be guaranteed, traffic accidents caused by emergency braking of the front vehicle are avoided, and the hardware cost and the calculation cost of the intelligent vehicle are greatly reduced.

The invention discloses a photo-curing printing-based microfluid chip and a manufacturing method thereof. An existing microfluid chip is great in preparation technology, high in demand on operating technology, long in preparation period and expensive in equipment. The photo-curing printing-based microfluid chip comprises a top plate, a bottom plate and a chip main body. The chip main body is composed of a concentration gradient chip, a bonding film and a cell culture chip which are overlaid successively. The outer side faces of the concentration gradient chip and the cell culture chip are in protruding arc shape. A buffer liquid hole, a nutrient liquid hole, a first liquid outlet hole, a resistor disc placing groove, n liquid storage holes, n zigzag runners and (n-2) connecting runners arearranged on the inner side face of the concentration gradient chip, wherein n is greater than or equal to 2 but less than or equal to 10. A first liquid through hole and n second through holes are formed in the bonding film. By means of a bonding mode of a blooming extrusion manner, the leakage problem when a photosensitive resin chip is combined is solved.

The invention relates to a data collection system, and in particular relates to a data collection and information processing device in the logistics industry. The data collector in the logistics industry comprises a display module, a storage module, a keypad, a scanner, an alarm module, an IR wireless communication module, and a microprocessor, wherein the display module, the storage module, the keypad, the scanner, the alarm module and the IR wireless communication module are respectively electrically connected with the microprocessor. Through the hardware technique, the software technique and the organic combination of the hardware technique and the software technique, a data collection terminal can achieve barcode scanning, decoding and data communication with a computer, and can greatly simplify the data input process and improve the work efficiency by fusing the two techniques that are seemingly irrelevant to each other.

The invention relates to the technical field of visual inspection, in particular to a detection and identification method for a circular high-reflection workpiece, which comprises the following stepsof: 1, performing image acquisition on the workpiece; 2, performing binarization processing on the acquired image; 3, performing spot detection algorithm operation and circular detection algorithm operation on the binarized image, and identifying whether a workpiece has defects or not and identifying circular size information on the workpiece; and step 4, converting the judgment result of whetherthe workpiece has defects or not and the identified circular size information into readable data information and outputting the readable data information. The display interface displays the acquired image and defect position and size information marked on the image, so that an operator can conveniently and quickly know the detection condition of the workpiece, the whole steps are simple, conventional technicians can conveniently and quickly master skilled work, and the operation efficiency is indirectly improved.

The invention discloses a simulative clinical outpatient case study and test management system. The system comprises an authentication module, an instruction processing module, a judgment module, a case processing module, a command analyzing and processing module, a data browsing module, a case data adding module, a case data deleting module, a case data modifying module, a case analyzing module, a case adding module, a data management center module, a student practice module, a test authentication module, a test management module, a command calling module and a teaching user side module. According to the system, clinical electronic case management and teaching resource management are combined, information of study resources is classified by subjects, and thus students can conveniently analyze cases according to information obtained in the four ways of diagnosis of looking, listening, questioning and feeling, clinical manifestations and exanimation data of patients to obtain diagnosis, treatment, handling and medication results; by simulating the procedural study and test in examinations, diagnosis, handling and treatment of clinical outpatients, the systematicness of study resources is improved.

The invention discloses a computation method of an expressway section travel speed based on ETC (Electronic Toll Collection) data. The method comprises the steps of original ETC transaction data preprocessing and section travel speed computation based on the ETC transaction data. The computation method of the speed in different sample size levels is provided by two situations according to the ETC data size of a section within a computation time period. The method performs preprocessing such as extraction, deletion and screening on original ETC data, as well as computation time period division by depending on a database analysis and data excavation technique, so that the data quality is improved; a section travel speed computation module based on multiple OD (origin-destination) pairs is established; in order to ensure sufficient data size, complex weighting is performed on a ratio of an OD speed to the OD pair mileage occupied by the section by utilizing travel speeds of multiple OD pair ETC transaction data computation sections including the computation section; and the travel speed of the section is obtained. The method solves the problems that expressway speed monitoring data is poor in quality and low in accuracy.