925results about How to "Timely detection" patented technology

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.

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 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 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 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 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.