837results about How to "Avoid false alarms" patented technology

The invention discloses a self-adaption alarming method for preventing tailgating with a front car on an expressway. The method comprises the following steps of: adapting to driver characteristic and driving environment based on a safety time logic algorithm; and performing self-adaption adjustment on a safety time threshold value, namely an alarming threshold to effectively avoid false-alarm. According to the algorithm, an alarm inhibition strategy is set by determining the intension of a driver to reduce false-alarm rate according to the selection of an initial mode and vehicle driving relevant information acquired by a vehicle-mounted sensor so as to calculate collision time (TTC) of the own car and the front car; the current alarm safety threshold value (TW) is calculated in real time according to the driver characteristic and the current driving environment; and finally, whether the potential danger of tailgating with the front car exists is determined according to the calculated collision time (TTC) of the own car and the front car and the alarm safety threshold value (TW); and an alarm instruction is sent when the potential danger exists. By utilizing the method, the potential tailgating danger can be accurately found out in real time according to the driving age of the driver, the driving environment, the vehicle brake type and the like so as to alarm the driver; and therefore, the occurrence of the tailgating accidents of the own car and the front car on the expressway can be effectively prevented.

The invention discloses a back sight image cognition based on-vehicle blind area early warning system and a method, wherein the system is composed of cameras (1 and 2) mounted on a rearview mirror to monitor the blind area, a digital signal processor (DSP), a sound prompting device, a power source and a plurality of data cables. The system reads the automobile travelling signal through the data cables, acquires the road surface image of the blind area (4 and 5) by adopting the rearview cameras, the processor processes the image, detects the automobile (3) in the blind area, analyzes the travelling state of the automobile, and realizes the multi-stage tracking for the automobile, when the driver intends to switch lanes, if another automobile in the blind area is not far from the automobile, then the driver is warned by the sound prompting device, so that the danger of collision during switching lanes is avoided. The back sight image cognition based on-vehicle blind area early warning system and the method are applied to the active safety driving, and has the advantages of simple system configuration, low cost, high safety performance, good real-time performance and complex environment adaptability.

The invention relates to a wind turbine generator fault early warning method based on data mining. A method based on the minimal redundancy of maximum weight is adopted to select a fault feature signal and carry out dimensionality reduction on the fault feature signal, so that decision accuracy is guaranteed, and the calculated amount of data processing is reduced. Meanwhile, on the basis of the historical data of an SCADA (Supervisory Control And Data Acquisition) system, the early warning model of each equipment component of a wind turbine generator is established, and a nonlinear state estimation technology is adopted to obtain the real-time prediction value of each piece of equipment and each component. On the basis, an adaptive threshold value is designed, and the false alarm of the system due to interference including environment temperature, wind speed change and the like can be avoided. By use of the method, an abnormal state is identified before faults happen so as to be convenient in adopting a corresponding measure in time, so that preventive repair is carried out, and the method has an important practical application value.

The present invention relates to a data analysis system of an intelligent mattress. The system comprises a collection device, a channel selection module, a cloud server, an intelligent terminal and an alarm sending module. The collection device comprises a pressure collection device formed by a plurality of ceramic piezoelectric sensors connected with at least one signal channel, the channel selection module screens at least one signal channel configured to receive and send pressure data based on a data source threshold value and the number of data sources of qualified data derived from the ceramic piezoelectric sensors in the signal channel in a limited time and satisfying a data selection condition; and the cloud server performs statistics of the first physiological information data based on the pressure data sent by the signal channel and identifies a sleep mode to determine at least one user through the mode of interaction association of the first physiological information, the stored second physiological information and/or sleep mode and analyze and feed back the user sleep quality information, abnormal state information and/or medical advices to the intelligent terminal. The data analysis system of the intelligent mattress can ensure complete data collection and accurate analysis results.

The invention provides an intelligent sleep monitoring system for preventing kids from kicking quilts, comprising a control assembly, magnetic sensors, stretching motors, drive pulleys, pull ropes, a humidity-sensitive resistor, a thermal-sensitive resistor, magnets, temperature sensors, and a remote alarm assembly. The humidity-sensitive resistor and the thermal-sensitive resistor are arranged on the obverse side of a bed body. The magnetic sensors and the stretching motors are arranged in the corners of the bed body. The control assembly is connected to the humidity-sensitive resistor, the thermal-sensitive resistor, the magnetic sensors and the stretching motors. A quilt is connected to the stretching motors through the pull ropes. The temperature sensors are arranged on the quilt, and the temperature sensors are connected with the control assembly in a wireless communication mode. The control assembly is connected with the remote alarm assembly in a wireless communication mode. The intelligent sleep monitoring system of the invention has the functions of automatically covering a kid with a quilt, alarming for high fever and enuresis, and the like, and has a high level of intelligence. Long-term test shows that the intelligent sleep monitoring system can prevent kids from kicking quilts in sleep in a fully automatic way and improve the quality of sleep of both kids and parents.

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.

The invention provides a feedback type fatigue detecting system which is characterized by comprising a sensing module, a fatigue detecting module and a sound alarm and feedback module, wherein the sensing module is used for collecting an image optical signal and/or a sound signal from a driver; the fatigue detecting module is connected with the sensing module and is used for judging the fatigue state of the driver according to the collected image optical signal and/or the sound signal; and the sound alarm and feedback module is connected with the fatigue detecting module and is used for sending out a sound alarm signal and a sound interactive signal according to the fatigue state of the driver and feeding the related information of the sound interactive signal back to the fatigue detecting module as a reference standard for judging the fatigue state of the driver. The feedback type fatigue detecting system has high accuracy for fatigue detection of the driver and can effectively avoid generating false alarm and leakage alarm.

The invention discloses a method for monitoring the water-charging process and water-discharging process of a washing machine. The method comprises the following steps: in the water-charging process or water-discharging process, a computer board reads the water level frequency once after a set period of time; and if the water level frequency is not changed compared with the last water level frequency and the set total times of reading and the total time water level frequency are not changed, a water-charging overtime alarm or the water-discharging overtime alarm is executed. Every time when the computer board reads the water level frequency, the water level is compared with a preset water level to judge whether to reach the preset water level; if so, the water-charging process is stopped or the water-discharging process is started; if not, the water level frequency is compared with the next water level frequency to judge whether the water level frequency is charged; and the preset water level is the washing water level or empty water level. By adopting the method of the invention, the changes of the water level can be detected dynamically in the water-charging process or water-discharging process to judge whether the water-charging or water-discharging state is normal; and when the water-charging or water-discharging state is abnormal, the water-charging process or water-discharging process is stopped and the user is informed through the alarm.

A method for monitoring running status of a nuclear power plant comprises: a nuclear power plant real-time monitoring apparatus establishing a dynamic rule base according to historical data of nuclear power equipment in normal running status; the nuclear power plant real-time monitoring apparatus acquiring, in real time, an online running status parameter of the nuclear power equipment; and if the online running status parameter does not match the dynamic rule base, the nuclear power plant real-time monitoring apparatus determining that the online running status parameter is abnormal. In the method for monitoring running status of a nuclear power plant, non-real-time running data and real-time running data of a nuclear power plant system are input in a simulation model to perform a simulation test, thereby implementing effective real-time monitoring on running of equipment of the nuclear power plant. Moreover, further disclosed are an apparatus and a system for monitoring running status of a nuclear power plant.

The invention discloses an integrated car door lock and asynchronous door knife device of an elevator. The device comprises a door knife bottom plate relatively fixed with a car door and a track frame relatively fixed with a car. A movable blade and an unlocking blade which are matched with each other and used for driving a landing door ball are mounted on the door knife bottom plate in a swinging manner. A knife lifting ball matched with the track frame is coupled with the movable blade. A lock hook is hinged on the knife door bottom plate, a lock bolt fastened with the lock hook is relatively fixed on the car, and a poke rod used for poking the lock hook so as to change a matching state of the lock hook with the lock bolt is arranged on the unlocking blade. An unlocking plate is also coupled on the knife door bottom plate, linkage parts matching with one other to drive the unlocking plate to rotate are arranged between the movable blade and the unlocking plate, and a poke wheel which rotates with the unlocking plate so as to poke the lock hook to unlock is arranged on the unlocking plate. An elevator car door lock and an asynchronous door knife are arranged on a car door integrally, so that installation and debugging are facilitated, and safety performance is good.

According to an embodiment, an intrusion detection sensor includes a microwave sensor (120) that transmits microwaves toward a detection area, receives the microwaves reflected by an object present in the detection area, and outputs a reflected wave reception intensity signal according to the received intensity; a direction variable antenna device (110); a scanning measurement means (131) that provides an instruction to scan the transmission/reception direction to the direction variable antenna device (110) to determine a relationship with the output of the reflected wave reception intensity signal; a detection target object presence determination means (132) that determines whether or not a detection target object is present based on the determined relationship; and an alarm signal output control means (133) that outputs an alarm signal when it is determined that a detection target object is present.

The invention discloses a vehicle active collision avoidance method adopting sensor fusion. The vehicle active collision avoidance method comprises the steps that 1, vehicle travelling information andenvironmental information are obtained; 2, front barriers are classified by combining the vehicle travelling information with lane line information, and the barriers on an expectant travelling routeare screened; 3, information of the barriers obtained in the step 2 is selected, and barrier information having a threat to travelling of a current vehicle is obtained; 4, linear regression predictionis utilized to be combined with sensor information to weight the information of the barriers ahead the vehicle; 5, the braking pressure required by the vehicle is calculated by synthesizing the step4 and the vehicle travelling state information; and 6, the steps 1 to 5 are repeated until the vehicle speed is zero or until a system is shut down. According to the vehicle active collision avoidancemethod, by utilizing weighting processing of linear regression estimation and sensor measurement information, TTC safety distance model and an expected braking acceleration double-margin model, the defect that target barriers are lost when a vehicle body pitches can be eliminated, and the vehicle adapts to active collision avoidance under different speed work conditions better.

The invention discloses a self-adaptive autonomous emergency brake (AEB) control algorithm based on road adhesion. The self-adaptive autonomous emergency brake control algorithm based on the road adhesion predicates collision risk between a vehicle and a forward obstacle though obtaining forward obstacle information, information of the vehicle and a road adhesion coefficient and makes a final pre-warning and autonomous braking decision by taking control input of a driver into consideration so as to remind the driver of adopting forward collision avoidance control or avoid collision between the vehicle and the forward obstacle or reduce collision degree between the vehicle and the forward obstacle by using autonomous braking interference if necessary. According to the self-adaptive autonomous emergency brake control algorithm based on the road adhesion, on the premise of not changing the configuration of the existing vehicle-mounted sensor, the road adhesion coefficient is estimated in real time; the pre-warning and autonomous braking opportunity can be automatically adjusted in a safe distance model according to the road adhesion coefficient so that the forward collision avoidance safety on road surfaces with various road adhesion coefficients is ensured and false alarm or false brake interference is avoided; driving safety and good driving experience are both achieved; and during driver brake interference, the self-adaptive autonomous emergency brake control algorithm based on the road adhesion can apply necessary brake assistance according to the calculated collision risk.

The invention discloses a multi-target association tracking method based on continuous maximum energy and an apparent model. The method comprises: first of all, on the basis of object detection and initial locus extraction, by use of an online discrimination apparent model and an AdBoost method, realizing preliminary association of an object, and obtaining a scattered discontinuous tracking locus; then performing secondary association on a short reliable tracking fragment obtained through the preliminary association by use a Hungarian method, wherein though a continuous tracking locus can be obtained through the secondary association, the secondary association is not suitable for a long-term object tracking process; and finally, making up for the defects of the secondary association by use of an intelligent detection method based on maximum energy, and obtaining a final smoother continuous tracking locus.

The invention relates to an automobile cargo freight anti-theft device, particularly to a cargo freight fuel oil active anti-theft system based on Internet of Vehicles, which comprises a distributed vehicle-mounted terminal, a monitoring center host system, a specified mobile telephone, a vehicle-mounted movable sensing network and a movable Internet, wherein the distributed vehicle-mounted terminal comprises a host machine, an oil tank anti-theft detector, an oil tank self adapting electronic lock, a safety box and a remote control, the anti-theft system automatically goes into a protection state after the oil tank self adapting electronic lock is locked; if the lock is illegally unlocked or damaged, multiple- terminal alarming including the host machine monitoring center host system and the specified mobile telephone is automatically triggered through the information transmission of the automobile networking; a switch sensor is placed in a battery compartment of the oil tank anti-theft detector, multiple-terminal alarming is also automatically triggered if a battery is illegally dismounted in the protection state; the system disarming can be operated by a driver using the remote control and is recorded on the monitoring center host system to prevent embezzlements; and the anti-theft system can actively discover clues, gives an alarm and achieves anti-theft effect before the fuel oil is stolen.

The invention relates to a device for detecting the leakage of an oil-gas pipe network based on type-2 fuzzy logics and a method. The device comprises a data acquisition unit, a signal filtering plate, an A/D (Analog to Digital) conversion unit, an FPGA (Field Programmable Gate Array), a level conversion unit and an upper computer, wherein the data acquisition unit comprises a pressure sensor, a flow sensor, a density sensor, a digital sensor which is used for acquiring the state of a pump and a digital sensor which is used for acquiring the opening degree of a valve; the signal filtering plate comprises a filter, a multi-way switch and a signal amplification circuit; and output terminals of all the sensors and an output terminal of the digital sensor which is used for acquiring the opening degree of the valve are all connected to an input terminal of the filter, an output terminal of the filter is connected with one terminal of the multi-way switch, the other terminal of the multi-way switch is connected with an input terminal of the signal amplification circuit, an output terminal of the signal amplification circuit is connected with the FPGA through the A/D conversion unit, and the FPGA is connected with the upper computer through the level conversion unit. According to the device and the method, the leakage detection on the oil-gas pipe network is carried out by adopting a type-2 fuzzy logic system, the current state of the pipe network is judged, and thus, the accuracy of detection can be improved.

The invention relates to a human body temperature measuring method based on an infrared human face detection technology. The method comprises following steps: when over-temperature points appear on aninfrared image obtained by an infrared temperature measurer, judging whether the over-temperature points stay in a human face area of a moving infrared image in the infrared image; if the over-temperature points stay in the human face area of the moving infrared image, utilizing a matching algorithm to find an area, which is corresponding to the human face area in the infrared image, in a visiblelight image; using a visible light human face detection technology to judge whether a human face area exists in the area, which is corresponding to the human face area in the infrared image, in the visible light image; if the result is positive, taking the over-temperature points as alarming temperature points, and giving off an alarm. The false alarm caused by image matching and synchronizationbetween infrared light and visible light is avoided, and missed alarm caused by light and skin sensitivity of a visible light human face detection technology is prevented.

Provided is a nuclear power plant radioactive exudation monitoring system which comprises an airborne radioactive exudation monitoring system. The airborne radioactive exudation monitoring system comprises a heating unit. The heating unit is used for heating gases in a part, outside a chimney, of a sampling pipeline where an aerosol and iodine monitor in the airborne radioactive exudation monitoring system is located, and a part, outside a chimney, of a sampling pipeline where an aerosol and iodine sampler is located. The nuclear power plant radioactive exudation monitoring system may prevent aerosol and iodine steam condensation caused by a decrease in ambient temperature and may increase aerosol and iodine acquisition efficiency. Further, a compressor is arranged on the upstream of an inert gas sampling bottle so as to increase gas concentration. In a high radioactivity monitoring system, a lead shielding device is arranged outside the inert gas sampling bottle and the aerosol and iodine sampler in order to improve protection of workers against radiation. A liquid radioactive exudation monitoring system is improved, simplified in structure, and decreased in fault links. A flowmeter is provided in order to compute total discharge activity.

The invention discloses a high-resolution SAR image ship detection method based on a visual attention mechanism, and belongs to the field of radar image target detection. Mainly aiming at a problem that a conventional high-resolution SAR image target detection method cannot meet the demands of intelligent detection and the real-time requirements, the method comprises the steps: extracting a visual significant model of a frequency spectrum residual error part comprising target information in an image based on the frequency domain Fourier transform; carrying out the binarization processing of a saliency map and the extraction of an AOI (area of interest), analyzing and designing a local maximum posterior probability classifier to carry out the target detection of a target region from the angle of classification, and achieving the detection through a parameter estimation and decision criterion. The method can improve the ship detection real-time performance and accuracy through the high-resolution SAR image, and effectively solves a problem of higher false alarm in detection.

The invention provides a method and a device for monitoring and alarming residual current, and a detection controller. The method comprises the following steps of: acquiring a three-phase load current value and a residual current value of a monitored loop; generating and storing the residual current relative value of each acquisition time point according to the acquired load current value and residual current value; performing statistical analysis on a plurality of residual current relative values in a preset time interval, and generating and storing the statistical parameters of the plurality of residual current relative values; generating an alarm threshold value of a monitoring time point according to the residual current relative values and the statistical parameters which are stored before the monitoring time point; and monitoring and alarming the residual current of the monitored loop according to the generated alarm threshold value. By the method and the device for monitoring and alarming the residual current, and the detection controller, a leakage alarm and a false alarm caused by the conventional fixed alarm threshold value can be avoided.

A pressure sensitive mat to be installed directly within a child's car seat to provide an audible alert to consumers that they have inadvertently left a child unattended in a motor vehicle, enabling them to quickly retrieve the child or infant and effectively prevent tragic scenarios that can result when a child is left unattended in a vehicle.

A threshold level is set in advance that has varied signal level values of reflected waves for which an object detection signal is to be generated, where the values vary in response to a distance to the object. In regard to discriminating a phase difference of respective waves reflected from an object and the signal level of the waves reflected from that object, and obtaining two distances to an object due to fold-over error when using only the phase difference, the present invention uses the signal level of the reflected waves to judge which distance is the correct distance.