927results about How to "Timely detection" patented technology

The invention provides a method and a device for monitoring pipeline leakage, and relates to the technical field of acoustic wave measurement, flow pressure measurement and pipeline systems. A set ofdynamic pressure sensors (1a) and (1b) and a set of static pressure sensors (2a) and (2b) are respectively arranged at the head end and the tail end of a pipeline respectively; acoustic wave signals measured by the dynamic pressure sensor (1a) and (1b) and the static pressure sensor (2a) and (2b) are processed by data acquisition devices (3a) and (3b) respectively so as to take leakage signals out; a global position system GPS is adopted to determine the time that the leakage acoustic wave signals are transmitted to two ends of a monitored pipeline section; and leakage points can be positionedby adding and subtracting the sampled time and then multiplying the propagation velocity of the acoustic waves in a medium. The method and the device can reliably and accurately judge the leakage happened in the pipeline, improve the monitoring sensitivity, and have high response speed and high positioning precision.

The invention relates to an on-duty person violation behavior detection method and system, belongs to the technical field of intelligent video analysis, and solves the problems of low efficiency, highcost and low recognition accuracy of an existing detection method. The method comprises the following steps: constructing a target detection network model, and training by using a data set; acquiringmultiple paths of videos at different angles in the same scene in real time, carrying out multi-target detection and tracking by utilizing a trained target detection network model and a target tracking algorithm, acquiring personnel information in each path of videos, carrying out integration processing, and judging whether behaviors of personnel on duty are abnormal or not. According to the invention, an environment camera video is used as an input video source for intelligent video analysis; the system supports multi-channel video source input and fusion analysis, greatly improves the recognition accuracy of illegal behaviors through deep learning and data modeling means, and achieves the real-time and accurate monitoring of the duty behaviors of personnel on duty in scenes such as a monitoring center, a duty room, a command center and the like.

The invention provides a method and a client device for detecting phishing websites and aims at solving the problem that existing detecting methods cannot detect newly-emerging phishing websites due to the delay. The method for detecting the phishing websites comprises obtaining the URL (uniform resource locator) of a target website and obtaining the page information of the target website according to the URL; extracting key area characteristics from the page information of the target website and subjecting the key area characteristics to the interface image similarity matching with key area characteristics in a real key area characteristic library; and if the matching degree of the interface image similarity matches with a second preset condition, determining the target website to be a phishing website, if not, determining the target website to be a normal website. The method for detecting the phishing websites completely utilizes local characteristics as the detection marks without image cutting or distance matching, thereby being applicable to the blurring mapping of images and effectively identifying the phishing websites even though the images of the phishing websites are deformed or warped.

The invention is concerned with the navigation system and the emendation method of the navigation orientation data, in order to conquer the shortage of the existing technology, provide a emendation method that can emendate the navigation orientation data accurately especially fit for farmland busywork. The invention is: the map registration provides the more accurate electronic map to the system, compares the orientation data point of every sensor and the known skyway that prearranges to be track, and then processes general estimation, works out emendation data point with higher reliability. The invention is consists of four processes namely the map registration, the sensor data prearrangement, the emendation value decision-making, the new orientation data point creating.

The invention provides a device for detecting the amount of bottom thread of a sewing machine. The sewing machine comprises a bottom plate, a rotating shuttle and an electronic control module, wherein the rotating shuttle comprises a shuttle shell and a shuttle core; the shuttle core comprises a winding post and two flanges; at least one flange in the two flanges is provided with a first surface part and a second surface part on the outer surface; a light hole is formed on the outer wall of the shuttle shell; the first surface part or the second surface part is exposed outside from the light hole; the sewing machine also comprises a sensor fixed in the bottom plate; the sensor comprises a transmitter used for transmitting light, and a receiver used for receiving light; the receiver and the transmitter of the sensor just face to the first surface part or the second surface part exposed outside from the light hole, and the light reflection capabilities of the first surface part and the second surface part are different from each other; the sensor is connected with a signal processing module; the signal processing module is connected with the electronic control module. The device for detecting the amount of the bottom thread of the sewing machine is capable of timely detecting whether the bottom thread is used up or not in real time.

This invention uses browser to check Troy virus wed belonging to computer safety field, which realizes rapid and accurate checking on web Troy web through system process adjusting and memory change. This invention basic principle must generate one new process browser when checking hidden Troy virus through rapid checking on the web through system monitoring to solve the virus web to provide user with safe net environment.

The invention discloses a temperature detection circuit and a mobile communication equipment, comprising a divider circuit consisting of a thermal resistor and a fixed resistor connected together, wherein, the dividing point of the divider circuit is connected with a voltage detection unit; when detecting that the voltage value at the dividing point reaches the preset temperature alarm voltage valve, the voltage detection unit outputs an alarm signal to an application processor to close part of or the whole circuit in the system by the application processor in order to reduce the temperature of the whole machine. With a simple structure, the temperature detection circuit of the invention realizes timely detection of the whole system temperature and guarantees security of equipment using process, particularly applicable to the mobile communication equipment, such as the mobile phone and the PDA, with characteristics of high electricity consumption and concentrated heating when the system is in operation.

The invention discloses a monitoring method and device for the operating state of a pantograph. The method comprises the steps that whether the pantograph is detected or not is judged in a preset detection area which covers an overhead line system where the pantograph passes; when the pantograph is detected in the preset detection area, a three-dimensional information collection module is started to carry out image data collection on the pantograph; image data collected by the three-dimensional information collection module are analyzed and processed, a pantograph three-dimensional size model is built, and size information of the pantograph is extracted. In the running process of a train, the size information of the pantograph such as the thickness of a sliding board of the pantograph can be detected conveniently and rapidly in time, and therefore it is ensured that the pantograph is in a normal running state, the fault detection efficiency of the pantograph is greatly improved, and it is avoided that due to faults of the pantograph, accidents of the pantograph are caused.

The invention provides a flame detection method based on a video frame image, which is characterized by comprising the following steps of: S10) obtaining a video frame image; S20) according to a flame luminance threshold, obtaining binary foreground images, and obtaining an interested target chain by a plurality of binary foreground images; S30) according to the target characteristic of a target block in a target chain, calculating flame frequency, and judging whether flame exists in the video frame image in the target chain according to the flame frequency and the confidence coefficient, wherein the target characteristic comprises the average luminance variation, the area variation and the center position shake of the target block; S40) if the flame exists in the video frame image in the target chain, generating an alarm triggering signal; and otherwise, returning to step S10). According to the flame detection method based on the video frame image, which is disclosed by the invention, the flame can be accurately detected, so that the flame false alarm rate is greatly lowered so as to lighten the pressure of working personnel, and the working efficiency of the working personnel is improved.

The invention discloses a bridge crack detection device and detection method. The automatic bridge crack detection device comprises a control device, an installation car, a telescopic rod mechanism and a detection device, wherein the control device comprises a data processing device, a display, a walking controller, a camera shutter frequency detection unit, a telescopic rod adjusting device, a telescopic rod adjusting controller, a first distance detection unit, a second distance detection unit, an illuminating brightness detection unit, a brightness adjusting module and an illuminating brightness controller. The detection method comprises the steps of (1) preparatory work before detection; (2) shooting and uploading of an image; (3) image capturing; (4) bridge crack image processing; (5) calibration object image calibration; and (6) calculating and synchronous outputting of bridge crack parameters. The bridge crack detection device is simple in structure, reasonable in design, and convenient to use and operate, accurate and quick detection of the size of bridge cracks can be achieved, and the work efficiency of bridge crack detection and the reliability of detection data are improved.

The invention discloses a system and a method for evaluating network safe state, which are used for evaluating the network safe state of an intrusion detection device. The method comprises the following steps of: according to a history log before the current observation cycle of the intrusion detection device, extracting indexes of the network safe state, and establishing a normal distribution model of the indexes of the network safe state; during evaluation, according to a real-time log of the current observation cycle of the intrusion detection device, acquiring index values of the network safe state of the real-time log; and according to the index values of the network safe state of the real-time log and the normal distribution model, acquiring an evaluation result of the network safe state of the intrusion detection device in the current observation cycle. The system and the method for evaluating the network safe state can automatically evaluate the current network safe state according to the logs generated by the intrusion detection device.

The invention discloses a video multi-vehicle outline detection method, which comprises the following steps of: drawing a virtual fence to define a monitoring area, and drawing a virtual detector to acquire parameters such as vehicle width and minimum vehicle length; obtaining a vehicle body outline set through a series of steps such as background subtraction, binarization, morphological opening operation and outline extraction; tracking a vehicle by tracking pixel blocks forming the vehicle, thus obtaining an initial outline of the vehicle; merging the outline of the vehicle by taking the initial outline of the vehicle as the basis, thus ensuring the outline of the vehicle which runs into the monitoring area to be more complete; and selecting a large outline from the residual body outline to serve as an initial outline of a new vehicle, and merging the body outline of the new vehicle, thus timely detecting the vehicle which newly runs into the monitoring area. The method solves the problems of camera shake, image interference on the two sides of a road, disconnected vehicle foreground and adhesion of outlines of adjacent vehicles.

The invention relates to the field of industrial process monitoring and fault diagnosis, and discloses a fault detection method and system of a non-Gaussian industrial process in order to online detect the non-Gaussian industrial process conveniently and practically. The method includes: step 1, selecting a certain quantity of normal historical data sets, performing mean value preprocessing on the data sets, and establishing a residual generator by employing a canonical correlation analysis method; step 2, determining a corresponding threshold of the corresponding residual generator by employing a Monte Carlo method; and step 3, performing real-time online detection on industrial process data according to the determined threshold of the corresponding residual generator.

The invention discloses a hybrid measurement based power distribution network dynamic state estimation method, which comprises the steps of reading current network parameters and a network topology structure of a power distribution network, and forming a node admittance matrix and a branch-node association matrix; reading SCADA data and PMU data of each node of the power distribution network, configuring a mapping relation between the two kinds of data, and processing differences between the two kinds of data; building a state transition equation and a measurement equation which are adapt to PMU / SCADA hybrid measurement; adding a fault-tolerant mechanism to a traditional extended Kalman filter method, and performing state estimation on the power distribution network by adopting the improved extended Kalman filter method. Dynamic state estimation is applied to hybrid measurement, and the accuracy of state estimation is improved. Meanwhile, an adaptive data detection mechanism is introduced, and the accuracy of dynamic state estimation is improved.

The invention provides a forest fire laser radar detection system based on an unmanned aerial vehicle. The system comprises an unmanned aerial vehicle system and a forest fire detection system. The system is mainly characterized in that forest inspection can be performed and the forest fire combustion point and the range of combustion can be timely discovered. Laser radar emits laser to detect the forest through a laser transmitter. The laser is absorbed and reflected through the combustion area. An optical receiver receives the reflected light. A signal converter converts light signals into electric signals. A microprocessor processes the electric signals. The advantages of the system are that the device is convenient to carry and can remotely detect the forest fire in a wide range of area and accurately measure the place and the range of fire. The change of the forest temperature can also be detected by the forest fire laser radar detection system based on the unmanned aerial vehicle so as to achieve the objective of forest fire inspection.

A sampling clock signal controller for receivers of digital data is disclosed. Specific bit patterns of a data waveform can be identified, and stored time samples of the waveform that correspond to the specific bit patterns can be analyzed to improve the timing of a sampling clock signal. These “time-amplitude” samples on known bit patterns can be utilized to determine if a sample on the data waveform should be taken before the center of the eye pattern, at the center of the eye pattern, or after the center of the eye pattern and by what time change. Accordingly, a single low power clock can be utilized to adjust the timing of the sample clock such that improved communication scan be achieved. Such a single clock system has reduced power requirements and increased accuracy.

The invention provides a method for roughly trimming a diamond grinding wheel. The method includes steps of A, scanning the surface of the diamond grinding wheel, acquiring the highest point of the surface of the grinding wheel and determining the position of the highest point in radial, axial and generating line directions; B, emitting a focused pulse laser beam along the inner normal direction of the surface of the grinding wheel and enabling the position of a focal spot of the focused pulse laser beam to be coincided with the position of the highest point of the grinding wheel in the radial, axial and generating line directions; C, erecting a silicon carbide roller at a position opposite to a generating line of the grinding wheel and setting the cutting depth as 0.005mm; and D, repeating the steps once after the grinding wheel is trimmed for 3 to 5 minutes until a circle run-out error of the grinding wheel is not larger than 20 micrometers. The method has the advantages that diamond grains are ablated and directly removed by the focused pulse laser beam, remaining diamond grains are removed by the silicon carbide roller, deteriorative layers of surfaces of the grains which are ablated by laser, grains without holding force and the like are mechanically peeled off, and the method is applicable to efficiently roughly trimming diamond grinding wheels with large grains.

The invention discloses a method for representing and diagnosing combustion instability, which is mainly applied to real-time monitoring, process and safety control technology of combustion equipment, such as a power station boiler, an industrial boiler and the like related to the combustion instability. The method comprises the following steps of: (1) acquiring a real-time pattern by utilizing a color CCD camera and an image acquisition card; (2) performing gray processing on the real-time pattern through digital image processing; and (3) extracting a sparse sample of a nonlinear time sequence of the pretreated flame real-time pattern. The detected result is acquired by a method for judging chaos 0-1 Test of a nonlinear power system so as to judge the combustion instability. The method is used for detecting the flame instability of any combustion equipment, is simple and practicable, can nimbly, rapidly and reliably detect the combustion situation in a combustion chamber in real time, provides a reliable and practical method for diagnosing the combustion instability of the combustion equipment, such as the power station boiler, the industrial boiler and the like.

The invention provides a detection method for a fatigue state of a driver. Confidence coefficients are acquired through calculation by sending eye SIFT features into a classifying model; the opening-closing states of the eyes are determined according to the confidence coefficients without being affected by a human face angle; and the detection method has a rotation invariable property, high accuracy on eye detection, simple calculation process, and can detect the fatigue state of the driver in time and can satisfy real-time detection requirement. In addition, the invention also provides a detection system for the fatigue state of the driver.

The invention discloses a network asset information acquisition system, which comprises a basic information collection module, an application component fingerprint collection module and a vulnerability perception module, wherein the basic information collection module is configured to discover a networking host to carry out fingerprint identification of a host operating system in order to detect an operation system type of a remote target host; the application component fingerprint collection module is configured to discover one or more pieces of application program or component fingerprint information in a version of a network application program or component, a service port and a protocol interaction feature; and the vulnerability perception module is configured to carry out perceptual analysis on the vulnerability of a network host and an application system in order to discover the vulnerabilities of the operating system, the service and the application component. According to the network asset information acquisition system, the security vulnerability of the information system can be accurately and reliably discovered, and an advantageous condition is provided for timely repairing the security vulnerability of the information system.

The invention relates to a full-automatic camshaft assembling machine. The full-automatic camshaft assembling machine comprises a rack and a power distribution control cabinet arranged in the rack; arotating disk device is arranged on the middle portion above the rack; and a shaft feeding device, a cam vibrating feeding disk, a cam feeding device, a press-fitting device, a floating shaft pressingdevice, a laser welding device, a flaw detecting device and a discharging device in butt joint with carrier assemblies are sequentially arranged above the rack in the rotating direction of a rotatingdisk. According to the full-automatic camshaft assembling machine, by means of the shaft feeding device, a shaft is placed in the carrier assembly on the rotating disk device, and the carrier assembly rotates clockwise along the rotating disk and sequentially rotates onto the cam feeding device to perform cam feeding, onto the press-fitting device so as to press a cam into a matching groove of the shaft, onto the floating shaft pressing device to push down the shaft to be clamped with the matching groove, onto the laser welding device to perform laser welding on the matched portion of the shaft and the cam, onto the flaw detecting device to detect bruised damage and scratches, and onto the discharging device to perform discharging; and the assembling process of the cam and the shaft is completed, the positioning precision is high, and defective products are detected in time.

The invention discloses a phase-locked loop applicable to power grid voltage unbalance and distortion states, and belongs to the related technical fields of power grid voltage phase signal detection and power grid load harmonic current extraction. The phase-locked loop provided by the invention aims to solve the problem as follows: the conventional synchronous rotating reference frame based three-phase digital phase-locked loop cannot accurately detect the phase value of the three-phase voltage fundamental wave positive-sequence component under power grid voltage unbalance and distortion states; consequently, the precision of a related harmonic current extraction algorithm is lowered, and the compensation effect of a harmonic compensation apparatus is weakened. The phase-locked loop provided by the invention improves the conventional three-phase digital phase-locked loop, and a repetition controller is introduced; the repetition controller is connected with a proportional integral controller in parallel to form a new controller, so that the excellent steady-state performance of the repetition controller is combined with the excellent dynamic performance of the proportional integral controller; and therefore, the phase-locked loop has the advantages of high dynamic response, high detection precision and the like. The phase-locked loop is mainly applied to voltage phase detection under power grid voltage unbalance and distortion states.

The invention discloses a traffic video visibility detecting method based on the road surface brightness and the least square approach, and belongs to the technical fields of video image processing and visibility detecting. The detecting method comprises the following steps: 1) acquiring road traffic video images; 2) calibrating the acquired images by a Pan / Tilt / Zoom camera to extract a road surface region of interest (ROI); 3) extracting a road surface region formed by pixel points with the same brightness in the ROI and calculating the value of the road surface brightness; 4) by virtue of combination with the Koschmieder theory and the least square principle, building a squared brightness difference objective function to obtain the optimal solution of an extinction coefficient k; 5) transforming the optimal solution of the extinction coefficient k into image visibility distance Vmet; 6) drawing a curve of visibility changing along with time, observing the visibility condition and performing prejudgment. Proven by experiments, the method is compatible with an existing common traffic condition monitoring system, high in calculation accuracy, high in speed, excellent in robustness to noise, and wide in application prospect.

The invention discloses a line inspection robot, comprising a line inspection robot system and shooting systems. The line inspection robot is characterized in that the line inspection robot system comprises a line hanging device, a high voltage power transmission line position detection device and a line inspection robot main body; the shooting systems are fixedly installed on two ends of the line inspection robot main body; the line inspection robot main body is in mechanical fixed connection with the line hanging device and the high voltage power transmission line position detection device; the whole line inspection robot system is connected to the power transmission line through the line hanging device; the line hanging device can realize motions like driven crawling, safe self-locking, off-line obstacle crossing, etc, of the line inspection robot system; the high voltage power transmission line position detection device enables the line inspection robot system to accurately position the power transmission line and realizes obstacle detection; the line inspection robot main body can realize the fact that the line inspection robot system performs swinging in a 3D space; and the shooting system can realize real time collection and transmission of an image.

The invention relates to an OPC UA multi-server aggregation method supporting cache management, and belongs to the technical field of industrial network. Aiming at an industrial control network whichadopts an OPC UA protocol, a multi-server aggregation method capable of integrating original server node information of a field layer is realized through design of an intermediate layer between a bottom-layer device and an upper-layer system. The method is composed of multiple components such as communication interface processing, aggregated data processing, management configuration and safety configuration, can perform intensive management on the information transmitted by the bottom-layer device and can provide seamless forwarding of data information upwards for OPC UA client through a formof an interface, so that the connection number of the client and the bottom-layer server is reduced to a certain extent, and convenience is brought to network deployment and maintenance. Meanwhile, the invention also provides a cache management method aiming at data aggregation; through an efficient server caching mechanism and a corresponding algorithm, the actual communication frequency of the upper-layer client and the lower-layer server is reduced, the communication efficiency is increased, and the communication expense is reduced.

The invention relates to an intelligent sensing network system for detecting outdoor sound of calling for help. The intelligent sensing network system comprises a plurality of detecting nodes for calling for help. The detecting nodes for calling for help collect sound information in scenes with the detecting nodes and analyze and process the collected sound information. When the sound information comprises sound of calling for help, the detecting nodes for calling for help transmit the sound information to a monitoring center. The detecting nodes for calling for help can collect the sound information in the scenes and can analyze if the sound information comprises information of calling for help, and when the information of calling for help is included, the detecting nodes transmit the sound information and position locating information of the detecting nodes for calling for help to the monitoring center, and sound-light alarm can be conducted through an alarming device. The intelligent sensing network system is compact in structure, can detect information of calling for help in dangerous scenes and is wide in application range, low in use cost, safe and reliable.

The present invention provides a crude lipase enzyme solution of Yarrowia lipolytica microzyme CGMCC No.2707 and a method for synthesizing biological diesel oil by catalyzing the hydrolization and esterification reaction of waste animal and vegetable fat by the immobilized lipase of the crude lipase enzyme solution. A method for preparing the lipase crude enzyme solution and the immobilized enzyme is also provided. The method uses hydrolization and esterification reactions of the oil and fat use lipase as catalysts, but does not use strong acid and strong base. The method has the advantages of mild reaction condition and small pollution. Organic solvent is not used during the entire production process of the fatty acid methyl ester / ethyl ester. The reaction is safe and the efficiency is high.

The invention provides a smog detection method and system. The method comprises the steps that movement regions are extracted from a video sequence, then wavelet features and brightness value features are extracted from the movement regions, a plurality of multi-dimensional newly-combined feature vector sets are formed, and finally whether smog is generated in the movement regions or not is detected according to the multi-dimensional newly-combined feature vector sets. In the whole process, whether the smog is generated or not is determined by analyzing the newly-combined feature vector sets, the wavelet features and the brightness value features are utilized for detection, whether the smog is generated or not can be detected with high efficiency and sensitivity, and fire occurrence situations can be accurately represented in time.

The invention discloses a method for repairing a solar cell module, relating the technical field of solar cell modules. The method comprises the following steps of (1) removing a module frame; (2) heating the module by a repair heating stage; (3) uncovering a back plate; (4) testing the module by an electroluminescent tester; (5) removing broken cell pieces; (6) cutting EVA (Ethylene-Vinyl Acetate); (7) replacing the broken cell pieces; (8) repairing glue pits; (9) testing the module by the electroluminescent tester; (10) laminating the repaired module; (11) testing the module by the electroluminescent tester; and (12) framing the tested and qualified module. According to the method, the broken cell pieces can be quickly and accurately repaired, and the quality and the using performance of the solar cell module can be ensured.

The invention discloses a data acquisition system for detecting a cutter of a numerically-controlled machine tool. The data acquisition system comprises a current signal collector, a vibration signalcollector, a temperature signal collector, a humidity signal collector, a data acquisition device, a data processing module, a background monitoring module, a big data analysis module and a data memory. The data acquisition system acquires the data of the cutter of the numerically-controlled machine tool online and in real time mainly based on the current signal collector and supplemented by the vibration signal collector, the temperature signal collector and the humidity signal collector. According to the data acquisition system for detecting the cutter of the numerically-controlled machine tool, relevant signals in the machining process of the machine tool can be acquired, real-time and online detection of the cutter of the numerically-controlled machine tool can be realized, the relationship between the detection signal and tool failure and tool life is modeled, the detection efficiency is improved, and the detection data is presented in an intuitive form.