89results about How to "Fast monitoring" patented technology

The invention discloses a fatigue driving electroencephalogram monitoring method based on the degree of meditation and the degree of concentration. The method includes the steps of 1, brain wave signal acquisition, wherein a brain electrical signal acquisition device is adopted to acquire and preprocess brain wave signals of a driver and synchronously transmit the brainwave signals to a brain electrical signal monitoring device; 2, brain wave signal analysis and processing, wherein analysis and processing are conducted on the brain wave signals acquired and preprocessed by the brain electrical signal acquisition device each second according to the sequence of sampling time, and whether the driver is in the fatigue state or not is judged; the brain electrical wave signals acquired and preprocessed in any second are analyzed and processed in the following steps of synchronous brain electrical wave storage, meditation degree and concentration degree extraction, fatigue degree calculation, threshold value comparison, driver fatigue degree calculation in continuous K seconds and fatigue driving judgment. The fatigue driving electroencephalogram monitoring method is simple in steps, reasonable in design, convenient to implement, good in use effect and capable of accurately monitoring the fatigue driving state of the driver easily, conveniently and fast.

The invention discloses a driving fatigue electroencephalogram monitoring method based on electrooculogram and electroencephalogram comprehensive determination, comprising the steps: first, connecting devices and initializing parameters; connecting an electroencephalogram signal acquisition device with an electroencephalogram signal monitor terminal, and setting fatigue step parameters through a master control chip of the electroencephalogram signal monitor terminal; second, acquiring electroencephalogram signals: using the electroencephalogram signal acquisition device to acquire and pretreat electroencephalogram signals of a driver, and synchronously transmitting the pretreated electroencephalogram signals to the electroencephalogram signal monitor terminal; third, analyzing the electroencephalogram signals: calling an electrooculogram determination module and an electroencephalogram determination module in the same time by the master control chip of the electroencephalogram signal monitor terminal, and analyzing the electroencephalogram signals acquired and pretreated by the electroencephalogram signal acquisition device. The method of the invention has simple steps and reasonable design, is convenient to implement and effective to use, can accurately monitor the driving fatigue state of the driver in a simple, quick and real-time manner and has high practical value.

The invention discloses a fatigue driving electroencephalogram monitoring method based on blink frequency identification. The fatigue driving electroencephalogram monitoring method includes the steps that 1, brain wave signals are collected, wherein brain wave signals of a driver are collected, preprocessed and synchronously transmitted to a brain wave signal monitoring device; 2, the brain wave signals are analyzed and processed, the brain wave signals received in all analysis processing cycles are analyzed and processed according to the preset analysis processing frequency and the time sequence, and analysis processing includes the following steps that the brain wave signals received in the previous n analysis processing cycles are analyzed and processed, the blink judgment threshold is determined, statistics is conducted on the blink times of the driver in the precious n analysis processing cycles, the brain wave signals received in the n+1th analysis processing cycle are analyzed and processed, and the brain wave signals received in the next analysis processing cycle are analyzed and processed. The fatigue driving electroencephalogram monitoring method is simple in step, reasonable in design, convenient to implement, good in use effect and capable of accurately monitoring the fatigue driving state of the driver easily, conveniently and fast.

The invention relates to container air tightness check technical field, in particular to a container air tightness check method and a relative device. The invention arranges an object container in a check device, fills water into the check device, aerates the container, and checks the pressure of an air room in the check device to check the air tightness of the object container. The upper cover of a water cylinder of the check device is arranged with a press plate and a water inlet, the inner side of the press plate opposite the water cylinder is arranged with a clamping lever and a clamper, one end of the clamping lever is connected with a cylinder outside the press plate, the clamper is communicated with an air inlet outside the press plate, the air inlet is communicated with an air pot, the press plate is arranged with a water level sensor which part exposed outside the press plate is connected with a pressure sensor, and the pressure sensor is connected with a control part. The inventive check method has high check speed, high automation, and wide application on container air tightness check of bond type purifier.

The invention discloses a fatigue driving monitoring method, which comprises the following steps of: A, acquiring images by using a camera, and filtering the acquired images through a classifier in a monitor, wherein the image which passes through the classifier is an eye image; B, analyzing the filtered eye image and finding the maximum distance L1 between the upper and lower points of an eyeball in set time; C, monitoring the eyeball of a driver, calculating the difference of the distance L2 between the upper and lower points of the eyeball and the maximum distance L1 in the set time, and alarming if the difference exceeds a set range. The monitoring method has higher accuracy.

The invention discloses a method for monitoring displacement of an anchor structure by utilizing a pressure difference. The method includes: step one, fixedly arranging a datum-point liquid-pressure sensor outside an anchor room, arranging a survey-point liquid-pressure sensor to a surface of an anchorage zone, and arranging a water tank above the datum-point liquid-pressure sensor; step two, filling monitoring ports of the datum-point liquid-pressure sensor and the survey-point liquid-pressure sensor with water through a valve and a water pipe, and removing the air; and step three, calculating the displacement of the anchorage zone in a forced direction according to changes of the pressure difference measured by the survey-point liquid-pressure sensor, and obtaining data such as wriggle frequency, range and long-term trend of the anchorage zone. According to the method, the pressure difference is used for monitoring displacement of the anchor structure so as to obtain relevant data such as the wriggle frequency, the range and the long-term trend of the anchorage zone, the monitoring accuracy and speed are high, a network can be accessed directly, requirements of internet of things are satisfied, and the detecting cost is low.

The invention discloses a driving fatigue electroencephalogram monitoring method based on stepped fatigue determination, comprising the steps: first, connecting devices and initializing parameters; second, acquiring electroencephalogram signals: using an electroencephalogram acquisition device to acquire and pretreat the electroencephalogram signals of a driver, and synchronously transmitting the pretreated electroencephalogram signals to an electroencephalogram signal monitor terminal; third, analyzing the electroencephalogram signals: analyzing the electroencephalogram signals acquired and pretreated within any second, and calling a stepped fatigue determination module to carry out analysis by a master control chip, wherein the process includes: synchronous storage of electroencephalogram signals, extraction of mediation degree and attention degree, determination of mediation degree corrected value and time corrected parameter, increase and decrease in fatigue step parameter, and judgment of driving fatigue. The method has simple steps and reasonable design, is convenient to implement and effective to use, can accurately monitor the driving fatigue state of a driver in a simple, quick and real-time manner and has high practical value.

The invention relates to an automatic tension control system and a method thereof, relating to a system and a method for applying pre-stress on a pre-stressed component in civil engineering. The system comprises an electric oil pump, a hydraulic jack, a controller of the automatic tension control system, a data relay controller and a computer. A pull rod type displacement sensor and a pressure sensor are arranged on the hydraulic jack. Control valve rods of left and right control valves of the electric oil pump are connected with a stepping motor. The controller of the automatic tension control system comprises a MCU (Micro-programmed Control Unit) single chip microcomputer, functional keystrokes, a displacement collection unit, a pressure collection unit, a buzzing and alarming unit, a display unit, a driving module, a motor steering output unit, a motor steering and stopping output unit and a motor pulse output unit. The method comprises the steps of tensioning, unloading and the like. According to the system and the method disclosed by the invention, the tension precision can be increased; the tension uncontrolled accident of the pre-stressed reinforcing steel can be effectively avoided; the system and the method have the characteristics of being simple in structure, low in cost, safe, reliable, low in quality monitoring difficulty, simple in method and convenient for operation; and the system and the method are applied to various fields.

The invention discloses a fatigue driving electroencephalogram monitoring method based on multi-threshold comparison. The fatigue driving electroencephalogram monitoring method comprises the following steps of step 1, acquiring an electroencephalogram signal: acquiring and pre-treating the electroencephalogram signal of a driver by using an electroencephalogram signal acquiring device, and synchronously transmitting the electroencephalogram signal to an electroencephalogram signal monitoring device; step 2, carrying out analysis treatment on the electroencephalogram signal: carrying out the analysis treatment on the electroencephalogram signal which is acquired and pre-treated by the electroencephalogram signal acquiring device within each second according to the sequence of sampling time, and judging whether the driver is at a fatigue driving state or not at the moment according to an analysis treatment result. The process of carrying out the analysis treatment on the electroencephalogram signal which is acquired and pre-treated within any second comprises the following steps: synchronously storing the electroencephalogram signal, extracting a characteristic signal, determining a characteristic quantity, carrying out the multi-threshold comparison and judging the fatigue driving. The method disclosed by the invention has simple steps, a reasonable design, is convenient to realize and has good use effects; the fatigue driving state of the driver can be conveniently, simply, rapidly and accurately monitored.

The invention discloses an abnormal advertisement flow detection method based on a user portrait. User attributes are collected through webpage operation data, user behavior information is tracked, feature recognition is conducted on the attributes and behavior analysis of a user through a feature model, the user portrait is drawn according to features, user labeling can be achieved through the features, and finally whether the user is an effective user or not is recognized through clustering analysis. According to the method, the abnormal flow can be accurately identified by combining the historical data of the user, and meanwhile, the abnormal flow monitoring speed can be increased by combining the scheme with a real-time analysis technology, so that the timeliness is improved.

The invention discloses a side slope micro-deformation monitoring method and a side slope micro-deformation monitoring system based on similarity determination criterion, wherein the monitoring method includes the following steps: (1) image collection and synchronous uploading: collecting and uploading side slope surface images in a monitored zone, wherein the monitored zone is divided into K to-be-analyzed zones; (2) imaging receiving and synchronous processing: performing synchronous treatment to the received side slope surface images, including: (201) performing side slope surface image treatment at the initial sampling time and calculating the similarity of the side slope surface image at this time; (202) performing side slope surface image treatment at the next sampling time, and calculating the similarity of the side slope surface image at this time; and (203) determining whether the micro-deformation exists or not. The monitoring system includes K digital projectors, K image photographing devices, an image collection device and an image processing device. The method and the system are reasonable in design, are convenient to achieve, are good in use effect, and can be used for performing simple, real-time and accurate monitoring the side slope micro-deformation.

The invention relates to the technical field of radio direction finding and specifically relates to a smart Bluetooth tyre positioning pairing method and positioning pairing system for carrying out positioning based on a Bluetooth 4.0 technology. The system comprises a plurality of tyre condition monitoring modules and a smart mobile terminal. The tyre condition monitoring modules are equipped with Bluetooth slaves. The smart mobile terminal is equipped with a Bluetooth host. According to the method and the system, Bluetooth positioning of the tyre condition monitoring modules and the smart mobile terminal is not carried out in a licensed connection mode of the Bluetooth and is carried out under the unlicensed connection condition. The tyre condition monitoring modules are equipped with population names of the same population and different MAC address and position names. The slaves transmit signals externally in a broadcast mode and the host receives the signals in a scanning mode. When the smart mobile terminal gets close to the tyre condition monitoring modules, the radio frequency signal strength of the tyre condition monitoring modules is analyzed, if the strength is increased, the positioning pairing is successful. According to the method and the system, the complicated Bluetooth license operation is avoided and the use is relatively convenient.

The invention provides a ship type counterfeit monitoring method based on ensemble learning. The ship type counterfeit monitoring method comprises: cleaning historical data of a ship and adjusting thetype; carrying out feature selection, carrying out format conversion, carrying out sliding window feature generation and carrying out feature normalization; carrying out selection and composition ofa classifier, and setting a classifier evaluation function; judging and monitoring a real-time ship target type. According to the invention, the historical ship track message can be utilized to trainand generate the model for judging and monitoring the ship type, judge and monitor the type of the real-time ship target, alarm the suspected type of counterfeit target, and help the maritime department to discover the type of counterfeit ship target in time.

The invention discloses a fatigue driving monitoring system based on the Internet of Things and a computer. The fatigue driving monitoring system comprises a processor, an initial monitoring module, an audio acquisition module, a physiological information monitoring module, a path monitoring module, a scheme planning module, a data storage module and an early-warning control module. According to the system, by arranging the initial monitoring module, fatigue driving of a driver can be prevented in advance; the audio acquisition module is arranged and used for acquiring monitoring information in a cab in real time, the audio acquisition module provides external parameter data for monitoring fatigue driving of the driver, and the fatigue driving monitoring precision can be improved; the physiological information monitoring module is arranged to provide internal parameter data for monitoring fatigue driving of the driver, so that the fatigue driving monitoring speed can be increased; andthe early-warning control module is arranged, different measures are taken according to alarm instructions, and harm caused by fatigue driving can be effectively reduced.

The invention discloses an anti-interference alarm for vehicles, comprising an antenna outside a casing, a work indicating lamp, a signal strength display window, a power supply switch, a sensitivity button, a mode adjustment button, a charge networking interface and a charge indicating lamp which are electrically connected with an electric circuit board in the casing. The alarm is characterized in that an electric circuit board is provided with a control circuit, an alarm networking interface circuit, a signal strength display circuit, an interference signal receiving circuit, a work indicating circuit and a charge indicating circuit; the alarm networking interface circuit, the signal strength display circuit and the interference signal receiving circuit are connected with the control circuit respectively; and the electric circuit board is also provided with a power supply circuit and a wiring terminal J1 which are connected with the circuits. By the anti-interference alarm, the mobile phone shaped appearance structure for the monitor equipment can be realized, the portability of the equipment is greatly improved; and compared with the conventional monitor equipment, and the accuracy of the identification rate for signal identification is improved by over 30 percent. By adopting the mode of wired and wireless blend networking, the detection distance and the detection range of a system to the interference signal are greatly improved, and the position of the interference source can be accurately provided.

The invention provides a smoking behavior and calling behavior identification method based on a video stream. The method comprises the following steps: S1, collecting a data set of model training; S2,installing and compiling a caffe framework supporting 3D convolution; S3, building a classification network architecture based on Tiny_darknet-3D deep learning; S4, setting hyper-parameters of the training network model; S5, directly obtaining a monitoring video stream from monitoring equipment of a to-be-monitored scene; S6, sending the video data obtained in the step S5 into a pre-trained modelin the step S3 for 3D convolution processing, and outputting a classification result; and S7, setting a threshold value according to the confidence value of the target, removing the target with a relatively low confidence value, and storing the image. According to the smoking behavior and calling behavior recognition method based on the video stream, the problems that a traditional smoking and calling detection method is prone to causing target missing detection, the false detection rate is high, an original video cannot be directly recognized, and time dimension information is lost are solved.

The invention discloses an intelligent environmental protection monitoring system, which comprises a sampling device, a sample testing device, a signal transmission device, a central controller, a terminal and an alarm device, wherein the sampling device transmits acquired environmental quality samples to the sample testing device, and through detection and analysis of the sample testing device, environmental quality parameter data are obtained; the parameter data are transmitted to the central controller through the signal transmission device; through data comparison and analysis by the central controller, an environmental quality result is obtained and transmitted to the terminal; and in the case of an abnormity, the central controller directly triggers the alarm device to give an alarm.According to the intelligent environmental protection monitoring system, the air quality condition can be monitored in real time, the monitoring speed is quick, the data are accurate, help is provided for improving the air quality condition, and better environmental protection significance is achieved.

The invention discloses a system and a method for monitoring working states of isolation switches. The system comprises a controller and state monitoring equipment; the state monitoring equipment comprises image acquisition equipment, an electric holder and an electric zoom lens; the image acquisition equipment is arranged on the electric holder; the electric holder rotates under the control of the controller; the image acquisition equipment on the electric holder acquires images of the isolation switches with mark points along with the rotation of the electric holder; the electric zoom lens is mounted on the image acquisition equipment and is used for adjusting a shooting focal length of the image acquisition equipment; and the controller controls the electric holder to work, the electriczoom lens to perform zooming and the image acquisition equipment to perform acquisition work, and judges the opening and closing states of the isolation switches according to the positions of the mark points in the current acquired images of the isolation switches. The isolation switches in a large range can be monitored; and the system has the advantages of being low in cost, convenient to mount, simple in image acquisition equipment control, and high in accuracy and automation level of monitoring the working states of the isolation switches.

The invention relates to the technical field of fuel cells, in particular to a fuel cell control management system which comprises an on-site layer, a data transmission layer and a management layer which are sequentially connected, wherein the management layer comprises a controller and an upper computer, the data transmission layer comprises an MDS main station, and the on-site layer comprises aDSP control system; the on-site layer is used for monitoring operation equipment of the fuel cell power system in real time, the data transmission layer is used for data transmission between the on-site layer and the management layer, and the management layer is used for monitoring and controlling the fuel cell power system. The control management system has the advantages of simple structure, andsimplified management control strategy, and high sampling speed, strong data processing capability, increased sampling points and very high sampling data precision by adopting a DSP operation technology. The system can adapt to indoor and outdoor severe working environments, has remote diagnosis, test and supervision functions, and can meet data acquisition and control between scheduling or control centers of all walks of life and controllers.

The invention relates to a wireless fidelity (WIFI)-based infrared thermometer, which comprises an infrared measurement probe, a laser indicator, a processor microprogrammed control unit (MCU), a liquid crystal display, a keyboard, a WIFI communication circuit and a battery, wherein the infrared measurement probe is used for detecting a target temperature and converting the detected target temperature into an electrical signal; the laser indicator is fixed together with the infrared probe coaxially and is used for indicating measured targets; the processor MCU is used for acquiring the electrical signal of the infrared measurement probe, processing the acquired electrical signal, sending the processed electrical signal to the liquid crystal display, saving data and transmitting the data to a network by the WIFI communication circuit; the liquid crystal display is used for displaying man-machine interaction data including the data processed by the processor MCU, configuration parameters, time information and network parameters; the keyboard is used for sending operating signals of users to the processor MCU; and the WIFI communication circuit is used for sending the data processed by the processor MCU to a server computer in real time by a WIFI network. In the WIFI-based infrared thermometer, temperature change data of important equipment, areas or parts under coal mines is transmitted to the ground in real time in a wireless mode to monitor temperature information under the coal mines dynamically.