82results about How to "Eliminate false alarms" patented technology

The invention discloses a dual-aperture photoelectric imaging system-based unmanned aerial vehicle detection and recognition system. According to the dual-aperture photoelectric imaging system-based unmanned aerial vehicle detection and recognition system, a wide-angle camera and a long-focus camera are adopted as an unmanned aerial vehicle detection device and recognition device respectively for performing monitoring; and a monitoring image sequence is acquired, a target detection algorithm is adopted to detect an unmanned aerial vehicle suspected target, a pattern recognition algorithm is adopted to recognize the suspected target, and after the target is confirmed, the track is tracked, interfered and controlled. Photoelectric sensors are adopted as the unmanned aerial vehicle detection device and recognition device, and therefore, the dual-aperture photoelectric imaging system-based unmanned aerial vehicle detection and recognition system has the advantages of high reliability, low cost and the like; the suspected target is searched in a large space region by means of a wide-angle imaging system, and the target is confirmed and tracked by means of a long-focus imaging system which is a two-axis turntable, and therefore, requirements for high detection rate and high accuracy can be satisfied, the reliability of the system can be greatly improved, and therefore, the system can bring outstanding economic benefits and has high practical value.

A smoke sensor using scattering light comprises a sensor body, light-emitting means for emitting light toward an open smoke-sensing space present outside the sensor body, light-receiving means for receiving scattering light of the light emitted toward the smoke sensing space and outputting a light-reception signal according to the amount of scattering light received, and a fire judging means for judging whether fire occurs or not on the basis of the amount of received light determined on the basis of the outputted light-reception signal.

A blood purification device allows controlling a false alarm and allows detecting accurately an abnormality in a patient who is undergoing a blood purification treatment or in the device which is running. The hemodialysis equipment includes blood circuit made of an arterial blood circuit having an arterial needle at its end and a venous blood circuit having a venous needle at its end; a blood pump; a dialyzer purifying the blood flowing in blood circuit; a venous blood pressure sensor which can detect pressure of a patient's blood flowing in the venous blood circuit; a venous blood pressure monitoring means for comparing a base value of the pressure measured by the venous blood pressure sensor or pressure predicted to be measured with a predetermined alarm-threshold. The device also has a venous blood pressure monitoring means allows updating the predetermined alarm threshold at a predetermined period of time.

The invention discloses a multichannel SAR-GMTI method based on target shape and shadow assistance. The ideal of the method is that multichannel self-adaptive clutter suppression and cell average-constant false alarm rate (CA-CFAR) detection are performed on M-1 SAR images after image registration and channel equalization and an original SAR image of a reference channel so that a binary image is obtained; then clustering processing is performed on the binary image so that all potential moving targets and size information and position information thereof are obtained; then shadow size matching templates corresponding to the potential moving targets are calculated according to the established moving target shadow geometric calculation model and the acquired potential moving target size information, and shadow position matching templates are generated by utilizing radial speed estimation values and the position information of the potential moving targets; and finally the two shadow templates are respectively matched according to the size information and the position information of the segmented shadow areas of the SAR images, false moving targets without matching of shadow areas are removed, and thus false alarm is reduced.

The invention discloses a leakage detection device. The device comprises a liquidometer, a data collecting and monitoring control device and control equipment. According to the leakage detection device, an absolute value of an actual relative liquid level change rate is compared with an absolute value of a standard relative liquid level change rate to judge whether large leakage occurs, and then an alarm is given. Therefore, the false alarm of the leakage detector in the prior art is eliminated, the system stability is increased, and a large amount of leakage can be relatively accurately monitored. Meanwhile, the invention further provides a method for detecting waste water leakage. In the method, a measuring value of the liquidometer is collected through the data collecting and monitoring control device; and meanwhile, the actual relative liquid level change rate of a barrel tank is calculated by using the control equipment, and the absolute value of the actual relative liquid level change rate is compared with the absolute value of the standard relative liquid level change rate to judge whether the large leakage occurs, and then the alarm is given. The method is simple and reliable.

The invention relates to a method for controlling the continuous detection on Ethernet chain. Wherein, said method comprises: when the source maintain end of chain receives the inactive instruction for stopping continuous detection, starts to periodically send continuous detection report with detection information to the host maintain end; when the host end receives said report, it feedbacks response eject report to the source end and stops the continuous detection; when the source end receives said eject report, it stops sending continuous detection report and ejects detection. With said invention, the continuous detection will not be lost and the alarm can be eliminated on time, when the network error is recovered from accidence.

The invention discloses a foreground detection method and a foreground detection system. The method comprises the following steps: obtaining the current frame image; calculating the partial contrast ratio of the current frame image; establishing a multi-gaussian background model based on the partial contrast ratio; detecting a portion of foreground image in the current frame image as foreground image sample according to the multi-gaussian background model; learning the background image according to the foreground image sample and the current frame image; performing foreground target detection for the current frame image according to the background image. The technical problem that most foreground detection methods cannot be realized due to that the calculating capability of the camera processor is limited can be solved. The foreground object with small size and weak contrast ratio can be completely detected at real time by adopting limited calculating capability by the foreground detection method and the foreground detection system.

The invention discloses a method and device for shielding weather interference in a fiber monitoring alarm system. The method comprises the following steps: step1, performing endpoint detection of disturbing signals by adopting a method of short-time energy and short-time zero-crossing rate to detect an initial point and an end point of an effective signal; step2, performing calculation of a Pearson product-moment correlation coefficient of effective signals lambda1 and lambda1, which are monitored by two sensors separated at a certain distance, and determining the disturbing signal, the Pearson product-moment correlation coefficient of which is higher than the upper coefficient threshold CH, as a weather disturbing signal; and determining the disturbing signal, the Pearson product-moment correlation coefficient of which is lower than the lower coefficient threshold CL, as an invasion signal, and sending put an alarm. The method and device for shielding weather interference in the fiber monitoring alarm system is high in monitoring efficiency and accuracy, and is easy to apply.

The invention relates to a video jitter and freezing detection method based on pixel time sequence motion analysis. The method comprises the following steps: S1, obtaining a video frame sequence image; s2, cutting a video frame sequence image; s3, on the basis of the to-be-processed video frame sequence Vs, carrying out image non-single mode jitter detection; s4, obtaining a motion amplification video frame sequence Ve; s5, acquiring a dense optical flow field Vsof and a dense optical flow field Veof; s6, converting the dense optical flow field Vsof and the dense optical flow field Veof information into image information, and obtaining an optical flow frame sequence Vscof and an optical flow frame sequence Vecof; s7, respectively carrying out picture freezing and picture single-mode jitterdetection. The invention further discloses a video jitter and freezing detection device based on pixel time sequence motion analysis. The image freezing detection accuracy can reach 100%, the accuracy is improved through parallel processing of the two jitter detection methods, the detection speed is high, and image jitter and freezing detection are achieved at the same time in a unified algorithmframework.

The invention discloses a method for eliminating a false alarm in a monitoring system. The method comprises the following steps: carrying out color space conversion on image data of an alarm zone, thus reducing the color dimensionality; generating state description vector of the image data, wherein the state description vector is utilized as an quantitative index for describing image characteristics; and calculating the distance between the state description vector and a template vector, wherein the template vector is the state description vector of the image data of the alarm zone under a non-alarm state. The invention also discloses a device for eliminating a false alarm in a monitoring system, and the device comprises a color space conversion unit, a state description vector generation unit coupled with the color space conversion unit and an alarm judgment unit coupled with the state description vector generation unit. The invention further discloses a system for eliminating a false alarm in a monitoring system. By utilizing the method for eliminating the false alarm, the false alarm caused by light reflection on a side panel due to flickering of a faucet indicating lamp in an existing monitoring system can be eliminated and the alarm accuracy rate is improved.

The invention provides a novel multi-step attack scene mining method. The method is divided into an offline mode and an online mode. In the offline mode, a user uses a known real attack alert log to carry out training to eliminate false alerts through a neural network and generates a Bayesian network attack graph through a series of processing such as alert aggregation processing and causal association attack sequence generation; in the online mode, the user can carry out update and iteration on the neural network and the Bayesian network attack graph which are generated in the previous offline mode through a large number of online alert logs, so that the attack graph after iteration is more complete and accurate; and lastly, a plurality of multi-step attack scenes are extracted from the Bayesian network attack graph. Through the adoption of the technical method, the attack mode can be found from a large amount of redundant alert logs through misinformation elimination of the alert logs and the multi-step attack scene can be constructed.

The present invention provides a multi-technology fusion aero-engine fault intelligent diagnosis method. A data analysis method is employed to perform identification of fault data samples to match faults which has the similarity with samples to be subjected to analysis in a fault database being not lower than a determination value as suspected faults. According to the typical fault factor decision table, all the suspected faults are subjected to multi-time screening to obtain the limited number of mainly suspected faults with the maximum possibility. A pattern identification algorithm is employed to perform pattern identification of the mainly suspected faults, learning training samples when identification are from fault data features in a fault sample data feature library, identification features when identification are features of samples to be identified, and identification results are subjected to one or more than one kinetics feature inspection. The aero-engine structure-type fault intelligent diagnosis method can selectively determine the learning object identified by the mode to reduce the learning range, the recall ratio [Eta] is reduced from 1 to 33%, and the learning time is reduced from 90s to 19s. Through the inspection link, the identification result is inspected, and the false alarm probability of interference signals is reduced from 33% to 0.

The invention discloses a background removing method for restricting the influence of sudden changes of light in video analysis and relates to background removing methods. The method comprises the steps that a video streaming input frame is processed by a background removing module, so that all foreground points and the information of upgrading history background Ib of the frame are obtained; the average gradient of an MxN neighbourhood of each foreground point (x, y) in the frame is calculated and is compared with a threshold Tg; if the average gradient is smaller than Tg, subsequent steps do not need conducting, and the point is judged to be a background point directly; gradient-based texture similarity insensitive to light changes is selected as a judging basis for judging whether a certain pixel is foreground; when the similarity S (x, y)) Ts in the pixel point (x, y) is obtained through calculation, the pixel point (x, y) is judged to be a background point. According to the background removing method, subsequent process is added on the basis of existing background removal, so that virtual alarm caused by quick changes of light is removed.

The invention relates to a loosing rope detecting device and belongs to the field of mining equipment. The invention provides a wire rope loosing rope detecting device for a single rope hoist. The wire rope loosing rope detecting device for the single rope hoist comprises a monitoring module a monitoring module and a receiving module which are communicated with each other, wherein the monitoring module comprises a release switch and a remote control module transmitting device and the receiving module comprises a remote control module receiving device and a main control system connected by the signal cable; the release switch comprises an insulating plate, a spring, a wire, and a damping slider, wherein the wire is fixed on the damping slider and both ends of the wire are fixed on the insulating board by the elastic clamping copper sheet; when there is no loose rope phenomenon, the damping slider clings to the wire rope under the action of the spring, and when the loose rope phenomenon occurs, the spring pushes the damping slider to slide and drives the wire out of the elastic clamping copper strip, and the signal is disconnected; the device also is provided with a condensation monitoring device which can avoid monitoring errors caused by condensation phenomenon. The loose rope monitoring device provided has the advantages of timely detection, low cost and low detection error.

The invention provides a point track processing method and system of an airport surface monitoring radar. An actual measurement point is associated with a determined track; if association is done successfully, the determined track after newly adding of the actual measurement point is outputted; if the actual measurement point can not be associated with the determined track, the actual measurementpoint is associated with a temporary track; if association is done successfully, whether the temporary track after newly adding of the actual measurement point meets a flight track conversion requirement and whether a speed requirement is met are determined; and if so, the temporary track is converted into a determined track and the determined track is outputted. According to the invention, a false alarm generated by a non-monitoring target can be eliminated; the track association is stable, the calculation load is small, and the engineering is easy to realize.

The invention discloses an IGBT (Insulated Gate Bipolar Translator) short circuit protection detection circuit based on a driving chip. The detection circuit comprises an isolated driving circuit, wherein the isolated driving circuit comprises an isolated driving chip and a second resistor; the output pin of the isolated driving chip is connected with one end of the second resistor; the other endof the second resistor is connected with the base of an IGBT to be detected; the isolated driving chip further comprises an input pin and an overcurrent detection pin DESAT; the input pin is connected with a PWM (Pulse-Width Modulation) driving signal of a host; the overcurrent detection circuit comprises a first resistor, a first voltage regulator tube and a first diode; the overcurrent detection pin DESAT is connected with one end of the first resistor and the cathode of the first voltage regulator tube respectively; the other end of the first resistor is connected with a positive power supply; the anode of the first voltage regulator tube is connected with the cathode of the first diode; and the anode of the first diode is connected with the collector of an IGBT to be detected. The detection circuit has high IGBT short circuit protection reliability, a simple structure and high portability.

The invention discloses a capacitance-type delayed oil level signal device and aims to provide a liquid level signal device which has two functions including liquid level warning and delaying and can avoid false warning caused by liquid level fluctuations through the delaying. The device disclosed by the invention is achieved by the technical scheme that a signal inductor limits a magnetic floater assembly (7) which is a movable component within a limited scope on a guide rod (10) by a protective shell body (11); the protective shell body and a junction box shell body (6) are separated and firmly connected on the tail part of the guide rod; a wire of an electric connection socket (1) stretches into the guide rod and is connected with a reed pipe (8); and the reed pipe is disposed in the guide rod through pipeline irrigation so as to sense magnetic field changes of the magnetic floater assembly. When a liquid level reaches a preset warning liquid level, the magnetic floater assembly (7) can suck the reed pipe (8), the reed pipe outputs a connection signal to a time relay (2) which is electrically connected with the socket, the time relay can provide a preset delay period, and the delay period is used to eliminate the false warning caused by the liquid level fluctuations.

The invention belongs to the network technical field, in particular to an Open vSwitch violation port operation automatic discovery and traceability system in an OpenStack platform. The system of theinvention is composed of an Open vSwitch information collecting device, an OpenStack information collecting device, a violation detecting device and a violation tracing device. The Open vSwitch information collecting device periodically starts to collect the port information of the Open vSwitch on the physical server. The OpenStack information collecting device collects the information of virtualnetwork and virtual machine in the Neutron database of OpenStack at regular intervals. According to the obtained information, the violation detection device finds the violation operation through the comparison analysis. The violation traceability device collects and searches the associated log information according to the generated alarm information, and provides an alarm traceability report related to the violation for an administrator. The invention can timely find the violation behavior of bypassing the Neutron direct violation operation Open vSwitch virtual port and provide retrospective information for the investigation of violations.

The invention relates to a thermal imaging based device for supervising and managing operators on duty in a standardized mode. The device comprises an optical system, a thermal sensor, a signal amplifier, a video processing and analyzing module, a camera shooting module, a memory, an identity identification module, a power supply management module, a voice module, a loudspeaker, a storage battery, a single chip machine, a wireless module and a telephone module. The operators on duty are firstly required to perform identity identification (sign-in) before working. After the identity identification, the operators on duty are in a monitor state, and a thermal imaging camera real-timely detects and analyzes whether a human body exists. When the human body can not be detected in a detection zone for a certain time, the optical system sends a voice prompt to require for the identity identification and starts to record a video. If the identity identification passes in the prompting time, the video recording stops, and a message that the operators are on duty is sent out; and if the identity identification fails to pass, the video recording stops, and a message that the operators are not on duty is sent out.

The invention discloses a method for linkage of a microcomputer monitoring system and a railway integrated video monitoring system, which belongs to the technical field of communication. In the method, connection is established between an interface server of the railway integrated video monitoring system and a server of the microcomputer monitoring system; when existing in the microcomputer monitoring system, warning information is sent to the interface server; and a warning signal monitored by a microcomputer is linked with the motion of the integrated video monitoring system by converting a protocol of the microcomputer monitoring system into a protocol of the integrated video monitoring system in the interface server, therefore, the microcomputer monitoring alarm can be verified and confirmed, relative information can be stored and analyzed simultaneously, the fault of the microcomputer monitoring system can be conveniently analyzed, the traffic safety is further ensured, and the operating efficiency is improved.

The invention relates to the technical field of security and protection systems, in particular to an anti-theft method. The anti-theft method comprises the steps that a three-axis digital accelerometer and a three-axis digital gyroscope are utilized to detect typical knocking or destructive vibration behavior, and if abnormal vibration is found, a warning signal is immediately sent; a sensor is utilized to monitor the telescopic state of a lock tongue, whether a door is opened abnormally or not is judged, and if abnormal opening is found, a warning signal is immediately sent; before the door is opened, firstly, the identity and authority of a person opening the door are verified, and after verifying is finished, door opening operation is conducted; and an electronic lock is used, specifically, the electronic lock is opened or closed in a non-contact mode. Effective theft prevention is achieved through vibration monitoring over a communication machine room, monitoring over the telescopic state of the lock tongue, identity verifying condition monitoring and electronic unlocking.

The invention discloses a video detection and alarm method, a video detection and alarm device, a storage medium and a camera. The video detection and alarm method includes acquiring video images; carrying out movement detection on the video images and carrying out figure detection on the video images when movement detection results indicate change of video frames; determining whether alarm prompting needs to be sent out or not according to figure detection results. The video images comprise the multiple video frames. According to the technical scheme, the video detection and alarm method, thevideo detection and alarm device, the storage medium and the camera have the advantages that the movement detection and alarm accuracy can be improved, and the false alarm probability can be lowered.

The invention designs an electric vehicle AC charging state monitoring and fault early warning method based on deep learning, and the method comprises the steps: firstly carrying out the state monitoring of various parameters of the AC charging of an electric vehicle, and storing the parameters in a database; secondly, dividing data in the database into historical data and real-time data, and preprocessing the historical data and the real-time data; then, designing a CNN-BiGRU deep learning model to fully learn normal alternating current charging historical data, constructing an AC charging prediction model of the electric vehicle, and optimizing hyper-parameters of the model by adopting a bat algorithm; then, formulating an evaluation standard of model prediction precision for judging the accuracy of model prediction, performing residual analysis on a model prediction value through a sliding window method, and determining a fault early warning threshold value and a rule suitable for AC charging of the electric vehicle; and finally, applying the trained CNN-BiGRU prediction model to real-time alternating current charging monitoring of the electric vehicle, and realizing fault early warning of the electric vehicle.

The invention relates to a method for achieving wireless communication timing coarse synchronization by using 1bit quantification and hard decision and belongs to the technical field of wireless mobile communication synchronization. The method is characterized by comprising the following steps that: a receiving end firstly carries out 1bit quantification on a demodulated signal; after being quantified, the signal is subjected to matched filtering by a matched filter; and a filtering result is directly compared with a fixed threshold value to search for a synchronous head so as to realize timing coarse synchronization. The scheme can effectively solve the false-alarm problem caused by the frequently and greatly faded signal under the multi-user and multipoint access condition by using a data frame. Meanwhile, the amplitude dynamic range of the filtering result is narrower, and the decision threshold value can be constant without self-adaptation. Moreover, after quantification, only 1bit information exists so as to effectively reduce calculated quantity and reduce the complexity of a synchronization module.

The invention relates to a monitoring and alarm system and method for rockfall monitoring along a railway line. Axle counting devices are installed on rails at both ends of a rockfall monitoring area along a railway line to monitor whether there are vehicles in the area; Collapse and rockfall monitoring and alarm system hosts along the line are connected. The invention can be used in single-track / double-track, electrified / non-electrified railways, various blocked sections, and train running sections with a speed of less than 500km / h. Axle counting devices are installed at both ends of the rockfall monitoring area along the railway to monitor the operation of vehicles. The beneficial effect of the present invention is that the train occupancy in the rockfall monitoring area along the railway can be monitored by the high-reliability axle counting device, the train vehicle can be accurately detected, false alarms caused by the operation of the train vehicle can be eliminated, and the usability of the rockfall monitoring system along the railway can be effectively improved ; At the same time, the sensor of the axle counting device is installed on the railway track, which does not affect the transmission of the signal track circuit and train control information, and can be used in various blocked sections and train control modes, and has practicability.

The invention discloses an autonomous integrated monitoring system and method for a navigation satellite signal and a telegraph text. The system comprises an uploading signal monitoring module, a telegraph text generation and comparison module, a low-power navigation signal monitoring module, a high-power navigation signal monitoring module and a health judgment and processing unit. Through the uploading signal monitoring module, the telegraph text generation and comparison module, the low-power navigation signal monitoring module and the high-power navigation signal monitoring module, the integrity of an uploading receiving subsystem and telegraph text and signal integrity of an information processing subsystem and a high-power subsystem are monitored. And finally, through the health judgment and processing unit, according to monitoring results of the integrity of the uploading receiving subsystem and the telegraph text and signal integrity of the information processing subsystem andthe high-power subsystem, fault positioning is carried out.

The invention relates to a method and device for sensing graded frequency spectra in a cognitive radio network, belonging to the field of communication technology. In order to ensure the throughput of a cognitive radio network system and improve the service experience of a cognitive user under the condition that a master user is not disturbed or only disturbed slightly, the method for sensing graded frequency spectra, which is provided by the invention, uses special subframe time slots for uplink and downlink conversion in the frame structure of a time division system to sense a low-grade frequency spectrum, and after the sensing result of the low-grade frequency spectrum is analyzed, a silent period is further adopted to sense a high-grade frequency spectrum, thereby confirming whether the master user appears or not. The technical scheme saves the cost for reporting signaling, can quickly sense the existence of the master user, reduces the false alarm probability of the master user, and further improves the throughput of the system.