46results about How to "Reduce the chance of false alarms" patented technology

The invention discloses an acceleration-detection-based calling alarm method and an acceleration-detection-based calling alarm system, and calling alarm equipment. The method comprises the following steps that: the calling alarm equipment detects a first acceleration of falling, and detects whether a user moves in first movement time when the first acceleration reaches a predetermined acceleration threshold; when detecting that the user does not move in the first movement time, the calling alarm equipment plays an interaction voice, and waits for response of the user to the interaction voice; and when the user does not respond to the interaction voice, the calling alarm equipment re-detects whether the user moves in second movement time, and sends an alarm signal to a predetermined alarm number when detecting that the user does not move in the second movement time. By the invention, the problem of high false alarm probability of the conventional calling alarm equipment is solved, the practical situation when an emergency occurs can be accurately judged, the accuracy of calling alarm is improved, and the probability of false alarm is greatly reduced.

The present disclosure relates to a vehicle impact mitigation system. The impact mitigation system can be configured to mitigate front impact situations. A main rail and an extendable rail-configured to move with respect to the main rail-are provided. A front module is attached to the extendable rail and attachable to the main rail. A spring is positioned between the front module and main rail, the spring is configured to apply a force to the front module when the front module is detached from the main rail. An actuator is configured to control attachment of the front module to the main rail.

The embodiment of the invention discloses a monitoring method, device and equipment based on face recognition, and the method comprises the steps: obtaining video data in a monitoring region; extracting a face image from the video data, recognizing the face image, and recognizing whether a monitored object corresponding to the face image is a trusted object or not; if the monitored object is not the trusted object, acquiring the wandering duration of the monitored object in the monitoring area and acquiring the behavior information of the monitored object; determining that the wandering duration exceeds a preset duration and / or the behavior information of the monitored object is a dangerous behavior, and sending alarm information; and if the monitored object is a trusted object and it is confirmed that the monitored object and the peer thereof belong to a non-security association relationship, sending alarm information. According to the technical scheme of the embodiment of the invention, suspicious personnel can be checked, the occurrence rate of malignant events is reduced, and the probability of false alarm is reduced.

The invention discloses a spaceflight transmission mechanism analysis method based on fault data, and the method comprises the following steps: S1, collecting data, collecting the rotating speeds of an inner rotor and an outer rotor of an aero-engine, generating two key phase signals, and triggering the sampling of corresponding vibration point measurement points; S2, performing data storage: during online monitoring, dividing the set databases into a configuration database and a unit database, wherein each transmission mechanism corresponds to one unit database, and the configuration databasestores related configuration information; S3, monitoring and analyzing: comprehensively monitoring and analyzing the vibration signal of the transmission mechanism in two modes of real-time monitoring and historical query; S4, performing fault diagnosis, including a, detecting and analyzing data feature extraction; b, establishing a database; c, layering the new data set; d, obtaining a new datafault diagnosis result; S5, performing the fault management: after a diagnosis result is obtained, giving the reasons and solutions of all faults, and giving the corresponding maintenance suggestionsaccording to the fault types. The system is reasonable in method and high in reliability.

The invention discloses a product promotion channel supervision method and system. The method comprises the following steps of: establishing a channel standard portrait according to data, collected ina first set time period, of each channel; establishing a portrait of a to-be-detected channel according to data, collected in a second set time period, of the to-be-detected channel; and comparing the portrait of the to-be-detected channel with the channel standard portrait, and when the comparison result indicates that the difference is greater than a set first threshold value or the similarityis lower than a set second threshold value, determining the to-be-detected channel as a problem channel. According to the method and system, the efficiency of distinguishing problem channels can be enhanced and the false alarm probability can be reduced.

The invention provides an intelligent lead switching method and device based on respiration parameters. The intelligent lead switching method comprises the following steps: S1, acquiring a respiration signal according to an acquired physiologic signal; S2, judging whether the quality of a signal corresponding to the respiration signal meets the lead switching condition, if yes, turning to S3 and if no, turning to S4; S3, triggering a lead switching command; and S4, keeping the present lead, wherein in S1, an electrocardio lead line acquires the respiration signal by one channel at the same moment. The intelligent lead switching method and device based on respiration parameters can effectively improve the respiratory coefficient calculation accuracy, and meanwhile, can reduce respiration-related false alarms, and ensure that the overall performance of a monitor which utilizes the impedance method to measure the respiration parameters is effectively improved.

The invention provides an alarm method and device for a driving assistance system and electronic equipment, and the method comprises the steps: inputting a collected current image into a trained deeplearning model, so as to enable the deep learning model to recognize a target object in the current image, wherein the deep learning model is obtained by training a sample image in a specified training sample set, the specified training sample set comprises a sample image carrying a specified negative sample, a target object does not exist in a position indicated by the specified negative sample of the sample image, a sample label of a sample image in the training sample set comprises a target attribute, and the target attribute represents whether a target object corresponding to the sample label is shielded or not; and determining whether a preset alarm strategy is satisfied based on an identification result of the deep learning model, and if yes, outputting alarm information. According to the invention, the false alarm probability is effectively reduced, and the user experience is improved.

The invention provides a hat capable of detecting and preventing mistaken alarming of falling information on basis of brain wave. The hat comprises a hat body, a hat brim, a switch, a power source, abrain wave detection module, a falling detection module, a GPS (global positioning system) positioning module, an information processing module, an alarming module and a user terminal. The switch canturn on the power source through one key and can turn off alarming through one key during wrong alarming, the power source powers each module, the brain wave detection module is used for detecting brain wave of an old person and transmitting the same to the information processing module, the falling detection module is used for detecting whether the old person falls or not and transmitting a signal indicating that the old person falls to the information processing module, the GPS positioning module locates position of the old person in real time and transmits the position to the information processing module, and the information processing module judges falling when the circumstance that the old person falls is detected after receiving electric wave excited by the oil person, immediately triggers the alarming module to alarm to attract attention of people around and sends condition and position when the oil person falls to the user terminal.

The embodiment of the invention relates to the field of power batteries, in particular to a power battery temperature monitoring method and device, a vehicle and a storage medium, and the method comprises the steps: obtaining a difference value delta(T) between the highest battery cell temperature Tmax and the lowest battery cell temperature Tmin in a power battery system according to a preset period; judging whether the difference value delta(T) meets a difference value alarm condition or not; when the difference value delta(T) meets a difference value alarm condition, obtaining a temperaturerise value Tu of the Tmax; judging whether a temperature rise value alarm condition is met or not according to the temperature rise value Tu and a preset temperature rise value threshold T2; when thetemperature rise value alarm condition is met, carrying out the temperature rise value condition alarm. According to the power battery temperature monitoring method provided by the embodiment of theinvention, whether the temperature of the power battery is abnormal or not can be judged in advance by continuously monitoring the temperature of the power battery, and various damages caused by abnormal judgment only when the temperature is too high are prevented. Through the two-stage judgment mode, the judgment result can be more accurate, the probability of false alarm is reduced, and the alarm accuracy is improved.

The invention provides a poisonous gas alarm. The alarm includes a sensor sensing content of poisonous gas, a timing module for timing, a microprocessor having least square method predication function, and a vision alarm module and an auditory alarm module sending alarm to operators according to indexes such as poisonous gas content change values, out-of-limit time points and the like. The invention solves a problem of time lag of a prior alarm. The alarm response speed and risk vigilance of people can be improved substantially. Human health damage is also reduced greatly by the early alarm function. Besides, due to the application of the least square method, error alarm possibility is reduced since the alarm has the predication function, so that the predication accuracy of the alarm is improved greatly.

The invention relates to a device for detecting target gas concentration in mixed gas. The device comprises a light source (1), a detector (2) and a light filtering mechanism (3); the filtering mechanism (3) is located between the light source (1) and the detector (2), and the detector (2) is located on a propagation path of a light signal sent out by the light source (1); the light filtering mechanism (3) comprises a light filter wheel (301) and a motor (302) for controlling the light filter wheel (301); the light filtering mechanism (3) further comprises a target gas light filter (303) on the light filter wheel (301), and an interference gas light filter (304) for detecting interference gas causing interference on the target gas in the mixed gas and with the waveband coinciding with an absorption peak with the target gas at the spectrum absorption area, and at least one reference light filter (305) for providing fixed reference for different detection environments. The device for detecting the target gas concentration in the mixed gas has the features of being high in sensitivity and high in detection precision.

The invention relates to a vibration reduction type new energy battery with a leakage alarm function. The vibration reduction type new energy battery comprises a main body, and further comprises an alarm mechanism and a vibration reduction mechanism, wherein the alarm mechanism comprises a detection tube, a piston block, a fixed rod, a supporting sleeve, a transmission rod, a second spring, a first contact, a second contact and a time delay assembly; the vibration reduction mechanism comprises a mounting plate and at least two buffering assemblies, wherein each buffering assembly comprises a supporting rod, a lifting sleeve and two first springs; and the time delay assembly comprises an oil cylinder, an oil conveying pipe, a one-way valve, a piston plate and an oil conveying hole. According to the vibration reduction type new energy battery with the leakage alarm function, the leakage state of a fuel cell can be detected through the alarm mechanism, and then an alarm signal is sent toan operator, so that the operator can carry out treatment in time, and the probability of major accidents is lowered; and by means of the vibration reduction mechanism, the impact force borne by the fuel cell in the running process of a vehicle is reduced, and the probability that the fuel cell is damaged is lowered.

The invention discloses a device for monitoring the leakage of an underground gas pipeline, which comprises: a gas pipeline monitoring pipe arranged above the pipeline to be monitored; side plates respectively arranged on both sides of the monitoring pipe; a valve arranged at the right end of the monitoring pipe; The gas monitor at the left end of the monitoring pipe; the suction pump arranged at the left end of the gas monitor; the pipelines arranged at both ends of the monitoring tube, which are used to connect the valve, the monitoring tube, the gas monitor and the suction pump into one Gas circuit; it has an information processing module that controls monitors, suction pumps and valves, and the information processing module includes a signal transmitter and a processor. The invention solves the technical problem that the gas pipeline monitoring device in the prior art has low precision, large error and cannot accurately reflect the leakage situation of the pipeline.

The invention discloses a vibration monitoring device of a wind turbine generator and a control method, and is characterized in that the vibration monitoring device comprises a vibration detection module, a vibration monitoring module and an upper computer; the vibration detection module is composed of an LPC2119 microcontroller, a power supply module, a first CAN interface module, a storage module and an MEMS acceleration sensor; and the vibration monitoring module is composed of a second CAN interface module, an MC9S12DT64 microcontroller, a Flash memory, a relay module, an LCD liquid crystal display screen and a GPRS communication module. According to the invention, modular design is adopted, expansion is easy, online monitoring data is used for control, offline analysis data is used for analysis and real-time separation, the integrity of data analysis is ensured, three-axis vibration data is measured, the alarm weight and the alarm frequency band of each axis can be conveniently set, and great convenience is brought to remote monitoring by adopting a wireless communication technology.

The invention provides a page script monitoring method and device, and relates to the technical field of communication. The method comprises: receiving the page state message in the page execution process sent by the client, the page state message comprising the script execution state information, and determining the page stability parameter according to the page state message belonging to the same page; in a page execution process, the received page state message comprising script execution state information; when a script error occurs, recording script error state information; when no scripterror occurs, recording the normal state information of one script, so that the reported page state information is equivalent to the user reporting the script execution state information, the page script stability parameter is determined according to the script execution state information, the accuracy is higher and more objective, and the probability of false alarm can be reduced.

The invention discloses a COD (chemical oxygen demand) electrochemical rapid online monitoring system, and particularly relates to the technical field of COD detection. The COD electrochemical rapid online monitoring system is provided with a plurality of sampling modules, a position information integration module, a networking module, a judgment module and an alarm module. The judgment module can judge whether the COD data is abnormal or not by combining the change of the detection data, obtained by the data analysis module, of each monitoring point at different time points, the change of the detection data, obtained by the data analysis module, of the multiple monitoring points at the same time and historical detection data logs in a database, and meanwhile, the networking module collects weather information of an area where data abnormity occurs, judges whether data abnormity changes are caused by raining or not, and can judge an approximate monitoring area where the data abnormity occurs according to the position information of all the monitoring points and a layout diagram of all the monitoring points, so that accurate judgment of the data abnormity situation is guaranteed, the probability of false alarm due to rainy weather is reduced to a certain extent, an abnormal area with an abnormal condition can be quickly and accurately judged, and an accurate position can be timely found out for checking and overhauling.

The invention discloses a system and method for evaluating real-time consistency of programs at multiple monitoring points in a broadcast link, and the system comprises a program collection module, aprogram consistency evaluation module, a program abnormity analysis module, and an alarm logic processing module. The method comprises the steps: carrying out the coding of program signals of at leasttwo monitoring points on the broadcast link, and outputting program coding data; performing real-time consistency evaluation on the same program on different playing links to obtain a program consistency quantitative evaluation result of each monitoring point; performing frame-by-frame real-time heteromorphism analysis and detection on the program to obtain a program frame-by-frame heteromorphismassessment result; and according to the consistency quantitative evaluation result and the real-time abnormal state evaluation result, carrying out comprehensive judgment, analyzing whether a programabnormal state is really generated or not, and carrying out corresponding actions. According to the invention, real-time consistency evaluation and frame-by-frame abnormal degree evaluation results are integrated to determine whether abnormal states exist or not, so that the probability of false alarm is reduced, and the alarm accuracy and timeliness are improved.

The invention relates to the field of safety of electric vehicles, in particular to a control method of an anti-theft electric vehicle driving recorder; the control method comprises: detecting operating state of a vehicular main unit, judging the state of the driving recorder, and comparing captured photos to judge whether there is a risk for the vehicle to be stolen. BY using the control method to control the driving recorder, it is possible for the driving recorder to gain driving recording function and anti-theft function such that overall installation is convenient and the cost is low.

The invention discloses a target detection method based on a Doppler radar, a medium and a target detection device based on the Doppler radar. The method comprises the steps of: obtaining echo signaldata, windowing the echo signal data and carrying out Fourier transform on the windowed echo signal data so as to obtain a frequency domain data matrix corresponding to the echo signal data; carryingout Doppler filtering on the frequency domain data matrix to generate a corresponding Doppler spectrum; accumulating the Doppler frequency amplitudes on the same distance unit in the Doppler spectrumto generate a first amplitude sequence corresponding to the Doppler spectrum, and removing an interference numerical value in the first amplitude sequence according to a preset amplitude threshold; and performing target detection according to the first interference-numerical-value-removed amplitude sequence. The accuracy of moving target detection can be effectively improved, and the probability of false alarm is reduced.

The invention discloses an automobile blind area detection alarm method and system. The method comprises steps of S1, judging an automobile driving mode according to the speed Vo, steering wheel angleand yaw velocity of an automobile, and then executing S2; S2, determining an alarm area according to the vehicle driving mode and the vehicle driving speed Vo, and then executing S3; S3, judging whether a target enters an alarm area or not, if so, executing the step S4, and otherwise, ending; S4, judging whether the target has a historical tracking track or not, if so, executing the step S6, andotherwise, executing the step S5; S5, judging whether the target meets a secondary screening condition or not, if so, executing the step S6, and otherwise, returning to execute the step S3; S6, judging whether the duration time of the target in the alarm area exceeds a preset first time threshold value or not, if so, performing target alarm, and then ending, otherwise, returning to execute S3. According to the method, the false alarm rate under the environment where false alarm is easy to occur, such as static guardrails and enclosing walls, can be reduced.

The invention relates to the field of monitoring protection systems, in particular to an area monitoring method and device, electronic equipment and a readable storage medium. The method comprises the steps: obtaining a plurality of to-be-processed images, wherein the to-be-processed images area images collected by monitoring equipment in a corresponding protection area; carrying out target detection on each to-be-processed image, obtaining the target category and the target number in each to-be-processed image, wherein the target category and the target number in each to-be-processed image are in one-to-one correspondence; if a human body target exists in the to-be-processed image, judging whether the human body target in the to-be-processed image is located in a preset warning area or not; if the human body target in the to-be-processed image is located in a preset warning area, obtaining early warning position information, the early warning position information being position information of a protection area corresponding to the to-be-processed image in which the human body target exists in the image; and generating early warning information to be received by background personnel. According to the invention, the probability of false alarm is reduced.

The invention relates to the technical field of dam bank dangerous case monitoring, in particular to a dam bank dangerous case video detection method and system based on real-time image edge enhancement, and the method comprises the steps: obtaining N monitoring images for monitoring a dam bank, carrying out the graying processing of each monitoring image, and obtaining the gray image of each monitoring image; respectively carrying out geometric transformation and difference filling processing on each gray level image to obtain each corrected gray level image; carrying out edge enhancement processing on each corrected grayscale image to obtain each edge feature enhanced image; performing fusion processing on each edge feature enhanced image to obtain a multi-scale fusion image; and matching the multi-scale fusion image with a historical image stored in a database, and determining a dangerous case level of the monitored dam bank according to a matching result. According to the method, the dangerous situation of the dam bank can be accurately identified, the probability of misinformation of the dangerous situation is effectively reduced, and the dam bank dangerous situation inspection reliability is improved.

The invention relates to the technical field of video monitoring, in particular to a character identity recognition method combining face recognition and human body recognition, which comprises the following steps: acquiring clear face images and human body images of passengers at a security check place, then receiving video frames in monitoring equipment in a waiting room, recognizing the face images in the video frames, and if the face recognition is successful, carrying out human body recognition, if a human body feature comparison score obtained through human body recognition is smaller than a clothes changing threshold value, determining that the passenger has a clothes changing behavior, and replacing the human body image corresponding to current successful face recognition with the old human body image of the current passenger; if the face recognition fails, carrying out human body recognition, sending out an alarm signal only when the human body recognition fails, and otherwise, not sending out the alarm signal. According to the method, the face recognition technology is combined with the pedestrian recognition technology, and the false alarm rate of character identity recognition in a non-cooperative scene is reduced. The method has the advantages that the false alarm rate can be reduced, and meanwhile the clothes changing behavior of the passenger can be recognized.

The invention discloses a high-recognition safe type centrifugal fan intelligent control system. The high-recognition safe type centrifugal fan intelligent control system comprises a centrifugal fan, a frequency converter connected with the centrifugal fan, a programmable controller connected with the frequency converter, a display and control touch screen, a temperature monitoring structure, a pressure monitoring structure and a remote alarm structure, wherein the display and control touch screen, the temperature monitoring structure, the pressure monitoring structure and the remote alarm structure are connected to the programmable controller. A power supply is further connected to the programmable controller and the frequency converter at the same time. The remote alarm structure comprises a signal emitter connected to the programmable controller, a signal receiving circuit connected with the signal emitter through a wireless network, a remote alarm connected to the signal receiving circuit, and a storage battery connected with the remote alarm and supplying power to the remote alarm. By means of the high-recognition safe type centrifugal fan intelligent control system, the system use safety is greatly improved, the product energy consumption is lowered, products are simplified, and meanwhile the use effect of the products is improved.

The invention provides a monitoring device for monitoring the battery safety of an electric bicycle. The monitoring device comprises a microprocessor unit, a power management unit and an alarm device,and is provided with an independent battery. Due to the arrangement of the independent battery, under the conditions that the battery of the electric bicycle is on fire and a power supply fails, theindependent battery can still supply power to the monitoring device continuously and the monitoring device can sound an alarm quickly.

The invention provides a protective guard which comprises a protective plate. The protective plate is provided with a solar photovoltaic plate and an infrared sensing plate, a clamping shell is arranged at each of the upper end and the lower end of the protective plate, the protective plate further comprises multiple infrared sensors, each infrared sensor comprises an infrared transmitting head and an infrared receiving head, each infrared transmitting head is electrically connected with an infrared transmitting end control circuit, and each infrared receiving head is electrically connected with an infrared receiving end control circuit; the infrared transmitting heads and the infrared receiving heads are arranged on the infrared sensing plate in a uniformly alternate manner and are in matched connection in one-to-one correspondence, each infrared receiving end control circuit is connected with a wireless communication module which is connected with a PLC (programmable logic controller) control module, and the PLC control module is connected with an alarming module. Invading objects are detected by utilizing infrared rays, so that false alarm probability is lowered, and the protective guard is energy-saving and convenient to mount.

The invention relates to a warning system for objects rushed out of vehicle head. The system comprises a camera installed on a parked vehicle, a movement detection unit, a rushing-out object recognition unit and an alarm unit. The camera is used for collecting a video image in front of a vehicle head of the parked vehicle; the movement detection unit is connected with the camera and used for judging whether a moving object appears in front of the head of the parked vehicle or not and obtaining movement information of the moving object; the rushing-out object recognition unit is connected withthe movement detection unit and used for recognizing the category of a moving object in front of the head of the parked vehicle and judging whether the moving object is a rushing-out object or not soas to output alarm information; the alarm unit is connected with the camera and the rushing-out object recognition unit and used for reminding a driving vehicle behind the parked vehicle of paying attention to the rushing-out object at the head of the vehicle. Compared with the prior art, the warning system has the advantages that on the basis of real-time object movement detection and rushing-outobject recognition and in combination with alarm prompt, a driver of a rear coming vehicle can know accurate vehicle head rushing-out object information in advance.