85results about How to "Timely alarm" patented technology

The invention provides a service application-oriented IT contralized operation and maintenance analyzing system which comprises an operation and maintenance analyzing platform and an acquisition server, wherein the operation and maintenance analyzing platform is used for sending an acquisition command to the acquisition server, analyzing originally acquired data uploaded by the acquisition server to obtain index data, and processing the index data, wherein the procedure of processing the index data comprises the step of judging whether an alarm event is generated or not according to the index data; and the acquisition server is used for driving a corresponding acquisition plug-in to acquire data for a system / service to be monitored after receiving the acquisition command sent by the operation and maintenance analyzing platform or according to a preset acquisition period, receiving originally acquired data acquired by the acquisition plug-in, and transmitting the received originally acquired data to the operation and maintenance analyzing platform. According to the invention, operation states of an application system and servicees of enterprises are monitored, an alarm can be immediately sent out, failures can be quickly solved, hidden dangers are predicted, and risks are controlled in advance.

The invention discloses a desensitization system used for big data. The desensitization system comprises a database type management module, a system management module, a data source management module, a sensitive data discovery module, a desensitization task management module, a desensitization configuration management module, a multi-stage management module, a big data desensitization analysis module and a sensitive data classification module, wherein the database type management module manages the type of desensitization data; the system management module constructs a role for a desensitization system and carries out function authorization and management on the role; the data source management module provides data source management for the desensitization system; the sensitive data discovery module automatically discovers the sensitive data in the data source and submits the sensitive data to the user for regulation and confirmation; the desensitization task management module configures and manages the desensitization task of a big data desensitization system; the desensitization configuration management module manages and defines the sensitive data and carries out desensitization algorithm and desensitization strategy management; the multi-stage management module realizes the state monitoring, the strategy issuing and the data synchronization of multi-stage desensitization equipment; the big data desensitization analysis module carries out real-time analysis on collected desensitization log data to guarantee the security of the desensitization system; and the sensitive data classification module carries out characteristic analysis on the sensitive data to classify the sensitive data. The invention also discloses a desensitization method used for the big data.

The invention provides a general aviation air collision detection method. The method includes the following steps that: the current heading angle, turning speed, aviation speed and position of a local aircraft are obtained, and the current heading angle, turning speed, aviation speed and position of the other aircraft are also obtained; the prediction flight path of the local aircraft in a further period is estimated according to the current heading angle, turning speed, aviation speed and position of the local aircraft; the prediction flight path of the other aircraft in a further period is estimated according to the current heading angle, turning speed, aviation speed and position of the other aircraft; and whether a collision exists between the local aircraft and the other aircraft is judged according to the prediction flight path of the local aircraft and the prediction flight path of the other aircraft. According to the aviation air collision detection method of the invention, flight path prediction is carried out based on the parameters such as the heading angle and turning speed, and therefore, the accuracy of flight path prediction of a general aircraft can be improved, and the accuracy of collision detection can be improved, and thus, a high-accuracy air collision detection method can be provided for general aviation.

The invention discloses an electric power operation personnel safety dressing detection method based on YOLOv3 target detection. According to the technical scheme, the method comprises: firstly, dressing pictures of electric power operators are collected, and a training sample set is made; secondly, constructing a YOLOv3 network model, and training the network model by adopting the training sampleset to obtain a trained YOLOv3 network model; Thirdly, taking the power operation on-site monitoring video as input data of the trained YOLOv3 network model, and detecting the safe dressing conditionof the power operation personnel in the video. Compared with a traditional method of manually designing characteristics, the method has the advantages that the characteristics are automatically extracted to realize detection, the applicability and the generalization performance are high, the safety helmet wearing and work clothes dressing conditions of electric power operation personnel in a video can be detected at the same time, and the method can be applied to a video monitoring system of an electric power operation site.

The invention provides a comprehensive safety intelligent monitoring method capable of effectively and quickly judging if such abnormal activities as trapping, falling and violence are generated in a car to timely and accurately give an alarm so as to effectively relieve the burden of monitoring staff. The comprehensive safety intelligent monitoring method specifically comprises the following steps: an image shot by a camera with a fixed position is used as a background model; a differential image is obtained through a difference between a present video frame and the background model by a background subtracting method; the binarization processing is performed for the differential image according to a binarization formula; then, the noise is removed through a morphology filtering algorithm; finally, the area communication analysis is performed for the noise removing result; the edge profile of the binarized image is extracted by a Canny operator; and the extracted foreground profile is compared with a human body image template library by a template matching algorithm to judge if one or more persons are in the car and if the abnormal activities are generated to trigger warning.

The invention provides an intelligent identification method for urban violation, which comprises the following steps: step S1, obtaining a plurality of urban violation photos, and labeling the violation categories of the photos manually; step S2, creating an intelligent recognition model, and uploading the artificially labeled photos to the intelligent recognition model for in-depth learning training; step S3, obtaining a city monitoring video, intelligently identify the city monitoring video by using the optimized intelligent identification model, capturing a video frame which is judged to have illegal behavior, and creating a label; step S4, auditing the label of the screenshot manually, and if the label is incorrect, modifying the label, and entering the step S2; if the label is correct, sending the screenshot to the city management system for real-time alarm. The invention has the advantages of realizing the real-time monitoring and intelligent identification of the urban violationbehavior and reducing the cost of supervising the urban violation behavior.

The invention relates to the technical field of network security and discloses a captured host automatic judgment method and device, electronic equipment and a memory medium. The method comprises thesteps of generating security incidents according to logs output by security equipment, wherein the security incidents are incidents which describe activities of attackers, and the security incidents comprise destination IP addresses and attack phases; aggregating the security incidents with the same destination IP address, and obtaining attack chains of hosts corresponding to the destination IP address according to the attack phases of the aggregated security incidents; searching the security incidents of which source IP addresses are the IP addresses of the hosts, and correcting the attack chains according to the searched security incidents; and judging whether the hosts are captured or not according to the corrected attack chains. According to the technical scheme provided by the embodiment of the invention, a function of automatically judging whether the hosts are captured or not is realized, the problem that judgment of whether the hosts are captured or not must depend on a safetyengineer is solved, the captured hosts are alarmed timely, and losses resulting from the fact that the hosts are captured are reduced.

The present invention relates to a complex scene target motion tracking system based on embedded and optical transmission and its monitoring method. The video signal collected by the front-end camera is sent to the embedded intelligent video analysis system, and the signal acquisition unit of the embedded intelligent video analysis system is The analog video signal is subjected to analog-to-digital conversion, and then the digital video signal is sent to the moving target detection and tracking unit for detection and tracking of the moving target. The optical transmission control unit sends the result data to the terminal control system through the optical transmission system, and the terminal control system According to the pre-set rules, it is judged whether there is an alarm, and at the same time, the video signal is sent to the local video monitor to display the monitoring video in real time. Compared with the traditional video surveillance system, the present invention has low cost, high reliability, low false alarm rate, timely alarm, and realizes unattended all-weather intelligent monitoring.

The invention discloses an intelligent controller of a permanent magnet mechanism breaker, which is formed by combining the permanent magnet mechanism control technology and the relay protection technology and comprises a central processing unit (CPU) module, a data collection module, a power supply management module, a permanent magnet driving module, a communication module and a man-machine interface module. The controller can directly drive a mono-stable permanent magnet mechanism, achieve fault isolation and fault location and effectively determine fault lines especially for small current grounding faults by calculating and comparing component amplitude of transient zero-sequence current in feature bands. The controller has a fault wave recording function and can record as many as 5000 accident records. The controller has a self-diagnostic function and can detect and collect faults in passages on line, control faults in the passages in remote control mode and give alarms timely. The intelligent controller is strong in functions and can sufficiently meet requirements for construction of intelligent distribution networks by being matched with the permanent magnet breaker.

The invention discloses a detecting and processing method for validity of a link among multiple nodes, and belongs to the field of multi-node link transmission of a TETRA digital trunking system. A multi-node data mutual transmission link generally has multiple phenomena, including, long-term validity, link long-term disconnection, link recovery after disconnection, disconnection in link validity process, and alternate link disconnection and recovery. Due to the phenomena, various abnormal conditions for applications are aroused in a practical running process. The detecting and processing method for validity of the link among multiple nodes comprises the steps of calculating time when a heartbeat request is sent at each time; dispersing the time on a time grid; detecting the validity of the link in a preset period; and performing detection for link recovery by adopting a hypothetical recovery strategy in a link recovery process. Through the ways mentioned above, feedback of the validity of the link is added, and accurate guarantee is provided for link selection of the applications.

The invention relates to an elevator abnormal sound detection method and system. The method comprises the following steps of first, acquiring a video record of an elevator car, and extracting audio data from the video record; second, preprocessing the audio data, and extracting audio features from the audio data; third, inputting the audio data into a detection model, and determining whether an elevator generates abnormal sounds or not at the current moment; and fourth, if yes, determining whether an alarm signal is sent out or not according to the amplitude of the abnormal sounds. The elevator abnormal sound detection method and system have lower requirements on hardware equipment, and with the method and system, most abnormal sounds generated by running elevators can be recognized, and the application range is wide.

The invention provides an automatic monitoring and warming system for nuclear power plant concrete structure sediment, belonging to the technical field of the nuclear power plant infrastructure construction. The system comprises a plurality of monitor sensing devices and a warning control cabinet. Each monitor sensing device comprises a fixed part and a moving part, wherein the fixed part is a microstroke switch, and the moving part is a sinker bar mounted on the top plate of the gallery. The distance between the end part of the sinker bar and the contact of the microstroke switch is equal to the sediment warning value of the gallery top plate. The contact of the microstroke switch is serially connected with the coil of a corresponding intermediate relay and connected with a power circuit. The normally open contact of the intermediate relay is respectively connected with the electric bell and the corresponding signal lamps in serial and connected in the power circuit. In construction, when the sediment of any monitoring point reaches a set early warning value, the warning control cabinet will automatically displays the audible alarm, and the position of the monitor point which reaches the early warning value is indicated via the signal lamp, so that a construction commander can rapidly understand the monitor condition and start the corresponding handle plan, to ensure the construction safety.

The invention discloses a warning method in the field of aircraft ground proximity warning and particularly relates to an offshore mode warning method aiming at an anti-submarine patrol aircraft. The conditions of entering or exiting of an offshore mode are met or not is judged according to longitude, latitude and radio altitude; after information of meeting the conditions of the offshore mode is determined by crews, the upper limit of a warning envelope of a mode 4 is adjusted to 80m, i.e., the warning is not given when the warning envelope is not lower than 80m and the warning is given when the warning envelope is lower than 80m. According to the offshore mode warning method disclosed by the invention, the defect that a general ground proximity warning system sends mistaken warning when the anti-submarine patrol aircraft flies at the extreme low-altitude to execute an anti-submarine task is made up, disruptive mistaken warning during normal task execution is avoided, timely warning during abnormal flight is ensured, and the flight safety is ensured.

The invention discloses a safety protection device and a safety protection method. The safety protection device comprises a detection module for sending a detection signal and obtaining the feedback signal based on the sent detection signal, an analyzing and comparing module for determining the detection distance from the detection object based on the feedback signal and comparing the detection distance, and a safe distance alarm module for conducting alarm reminding when the detection distance is smaller than the safe distance.

The invention discloses an abnormal air alarming method and apparatus in order to timely discover danger and give off alarm. The method includes the steps of obtaining air component information in an indoor environment, comparing the air component information in the indoor environment with corresponding air component information in air change trend obtained in advance, and giving off an alarm message to a preset target device when the difference between the air component information in the indoor environment and corresponding air component information in air change trend is greater than a preset first air threshold.

The invention discloses a device monitoring apparatus for a photovoltaic power plant. The apparatus comprises a collection module for collecting running data of each device in the photovoltaic power plant in real time and current environmental data; a calculation module for analyzing and calculating and judging the operation according to the running data of each device and the environmental data respectively and sending an alarm signal to an alarm module if a device fault is confirmed; and the alarm module for executing alarm operation after receiving the alarm signal. The apparatus can automatically detect a fault according to the collected photovoltaic power plant data, reduce the workload of staff and achieve the efficiency and accuracy of device inspection.

The invention discloses an intelligent security implementing method for an active home camera, based on the following devices: a camera, a control unit, an image receiving unit, an image processing unit, a security logic unit, a main control unit, a motor circuit unit, and a mechanical unit. The camera control unit controls the image capturing, and the image receiving unit receives the image and then sends to the image processing unit. The image processing unit adopts a deep learning algorithm to automatically recognize various objects and human body motions in the image. The image processingunit outputs a monitoring APP that can be connected to a mobile phone of a user through a network. The user sets up a matching APP having a security logic unit, sets emergency contacts and dangerous scenes, and can remotely view the home situation in real time. A dangerous judgment is made and an alarm is issued if a judgment threshold of the dangerous scene set by the safety logic unit exceeds the threshold standard. No dangerous judgment is made if the threshold standard is not met.

The embodiment of the invention provides an Internet hospital system monitoring method and device, a storage medium and a program product, and the method comprises the steps: collecting business log data of an Internet hospital system, and adding the business log data into a message queue; obtaining a target index through a stream processing engine according to the service log data in the message queue; judging whether the Internet hospital system is abnormal or not according to the target index and a preset alarm rule; and if it is determined that the Internet hospital system is abnormal, sending an alarm message to a user terminal. According to the embodiment of the invention, the business log data of the Internet hospital system is collected, the business log data is analyzed and processed to obtain the target index, and the unified monitoring index system is constructed, so that unified monitoring of different Internet hospitals accessed by the Internet hospital system is realized; and whether the Internet hospital system is abnormal or not is judged based on the target index and a preset alarm rule, potential abnormity of the Internet hospital system is explored, timely alarm is facilitated, and the abnormity is recovered.

The invention relates to a distributed power supply grid connected alarm system and an operating method thereof. The distributed power supply grid connected alarm system comprises a photovoltaic assembly, an inverter, a voltage-drop release breaker, a disconnector, a grid connected electric energy meter, an alarm device and an earth leakage protection breaker. The inverter, the voltage-drop release breaker, the grid connected electric energy meter, the alarm device and the earth leakage protection breaker are connected in sequence. The voltage-drop release breaker is connected to the grid connected electric energy meter through the disconnector. The alarm device comprises a master control MCU, and also an information acquisition module, a voltage abnormity alarm module, a frequency change alarm module, a display module, an uplink communication module, a storage module and a power supply module that are connected to the master control MCU. When the distributed power supply grid connected alarm system is running, the earth leakage protection breaker is connected to a power grid side, and the alarm device can send alarm information, if voltage drops or frequency changes of the power grid side exceed a certain range, to notify management workers of checking the running condition of distributed power supply grid connected system equipment. Therefore, the safety of a power grid, equipment and operation management workers is improved in a wider scope and to a greater extent.

The invention discloses an Internet of things intelligent fan system and belongs to the technical field of draught fan and ventilation system engineering. The Internet of things intelligent fan system comprises a temperature sensor, a vibration sensor, a noise sensor, a detection box, a monitoring mainframe, a client side, a display screen and a frequency-variable control cabinet, wherein the temperature sensor, the vibration sensor and the noise sensor are installed on a draught fan; a parameter collecting module and a data communication module are arranged in the detection box; the frequency-variable control cabinet is connected with a frequency-variable motor of the draught fan; the parameter collecting module collects parameter data of the temperature sensor, the vibration sensor and the noise sensor in real time and meanwhile collects the parameter data of voltage, current and power of the frequency-variable motor in real time through the frequency-variable control cabinet; the parameter collecting module conveys the collected parameter data to the monitoring mainframe through the data communication module in real time after the parameter data are subjected to analog / digital conversion; the monitoring mainframe feeds the result back to the client side and the display screen after analysis. The Internet of things intelligent fan system can monitor the operation state of the draught fan in real time, displays the operation state in real time and gives an alarm in time.

The invention discloses a remote monitoring system and method based on cloud computing. The system comprises a remote monitoring platform, different types of data acquisition devices distributed in different regions and a terminal alarm. The data acquisition device is arranged in different regions and is used for acquiring state data of the corresponding regions according to functions of the dataacquisition device. The remote monitoring platform is used for receiving state data acquired by different types of data acquisition device in different regions through a uniformly packaged API, and storing the acquired data in a distributed cloud database. The remote monitoring platform is also used for judging the state data acquired by the data acquisition device according to the alarm thresholddynamically configured for each piece of data acquisition device so as to determine whether to send an alarm signal to the terminal alarm. The terminal alarm is used for giving out a corresponding alarm according to the alarm signal.

The invention discloses a real-time analysis method and system for the pedestrian state based on mobile equipment. According to the invention, a real-time physiological signal of a pedestrian is obtained, the fatigue level of the pedestrian is obtained through analyzing changes of the physiological signal, and the interference state of the mobile equipment for the pedestrian is judged based on anIMU (Inertial Measurement Unit) signal of the mobile equipment, so that the risk level of the pedestrian can be obtained when the pedestrian is in an area where a motor vehicle appears, and the pedestrian is correspondingly warned and reminded timely and quickly. The real-time analysis method and system perform analysis from the perspective of the pedestrians, thereby being capable of warning thepedestrians automatically and timely when a danger is judged to occur, enabling the pedestrians to avoid the danger timely, and being capable of widely applied to the pedestrian safety monitoring industry.

The invention provides a server hard disk security measurement method and device. The method comprises the following steps: pre-storing identification information of related hard disks in a server ina trusted chip; in response to startup and electrification of the server, enabling the BIOS to acquire identification information of the hard disk and compare the acquired identification information with pre-stored identification information; and in response to the comparison failure, enabling the BIOS to control the server to stop starting and / or give an alarm. According to the invention, the hard disk on the computer can be timely alarmed after being replaced, and the method has good popularization and use values in the field of secrecy.

The invention relates to the technical field of aircraft fault detection and discloses a real-time monitoring system for aircraft fault detection. The system can monitor the current infrared thermogram, audio signal and vibration frequency of an electrical device and compare the current infrared thermogram, audio signal and vibration frequency with the normal infrared thermogram, audio curve and vibration frequency, when the electrical device is abnormal, the infrared thermogram, the audio signal and the vibration frequency are obviously changed, abnormity can be obviously found through comparison, then an alarm is given in time to remind a worker, the infrared thermogram, the audio signal and the vibration frequency are used for monitoring the electrical device at the same time, the monitoring is more accurate, the fault position of the electrical device can be accurately positioned, the heavy work of complete maintenance is avoided, the fault position can be directly maintained, thedesign is novel, and the system has the advantages that an electrical device on an airplane can be monitored in real time, and the fault position on the electrical device can be accurately positioned.

The invention relates to the technical field of computers. The invention particularly relates to an abnormal behavior identification method and device. The method is used for timely and effectively identifying abnormal behaviors. The method comprises the following steps of: obtaining a face image of a target person at the target location, based on a face recognition result and consulting information triggered by a target person, generating corresponding user description information; then, extracting the historical data from the pre-stored historical data; screening out reference user description information meeting a similarity condition, then determining the number of different historical target locations corresponding to each piece of obtained reference user description information and the respective generation time of each piece of reference user description information, determining that the target person has an abnormal behavior when the corresponding condition is met, and giving an alarm. Thus, when the target person appears at the target place, whether the target person has an abnormal behavior can be quickly and accurately identified according to the historical data, and thus an alarm is given in time.

The invention provides a power supply system electricity larceny prevention method and system, a terminal and a storage medium, and the method comprises the steps: selecting a monitoring node in a power supply system, collecting the current value of the monitoring node in a monitoring time range, and generating a current value array arranged according to the collection time; calculating an averagecurrent value of the current value array, and obtaining a current difference time sequence by subtracting the average current value from each current value of the current value array; performing normalization processing on the current difference time sequence to obtain a target time sequence, and recording a normalization coefficient of the normalization processing; inputting the target time sequence into a pre-trained LSTM model to obtain a predicted value; converting the predicted value into a predicted current value according to the normalization coefficient and the average current value,judging whether the predicted current value reaches a preset current threshold or not, and if so, generating an alarm. According to the invention, the abnormity caused by the electricity stealing behavior can be accurately found, and the alarm can be timely generated.

The invention discloses a public building energy consumption monitoring system. The system comprises water, electricity, gas, heat, cold professional subsystems. The output ends of the water, electricity, gas, heat and cold professional subsystems are electrically connected to an energy consumption data acquisition module. The output end of the energy consumption data acquisition module is electrically connected to an energy consumption data storage module. The output end of the energy consumption data storage module is electrically connected to an energy consumption data statistics analysis module. The output end of the energy consumption data statistics analysis module is electrically connected to a load management module and an energy consumption visualization module. The energy consumption visualization module is mutually and electrically connected to a data archiving module. The output end of the energy consumption visualization module is electrically connected to an energy consumption data monitoring large platform. The energy consumption data monitoring large platform comprises an energy planning / purchasing module, an energy control module, and a reporting / monitoring module.The system achieves a good protection effect on a core switch and heat dissipation efficiency is high.

The invention provides an online monitoring device and method for a lightning arrester with a series gap line. The online monitoring device comprises a current sensor, a front-end host, a data processing center and a near-zone acquisition terminal; the current sensor is arranged at the low-voltage end of the gap lightning arrester and used for collecting lightning current and power frequency current generated after a line is struck by lightning and transmitting the lightning current and the power frequency current to the front-end host; the front-end host processes the received current signal to form a standard waveform, and transmits the standard waveform to a data processing center through a network while storing the standard waveform locally; the near-zone acquisition terminal acquires local standard waveform data stored in the front-end host in a non-contact data transmission mode, and sends the standard waveform data to the data processing center; the data processing center analyzes the received standard waveform data and extracts the characteristic quantity of the standard waveform of the lightning current and the characteristic quantity of the standard waveform of the power frequency current; and the data processing center diagnoses the fault degree of the lightning arrester by comparing the duration characteristics of the two types of waveforms.

The invention provides an active cable anti-theft device and system. The active cable anti-theft device comprises a sleeve, wherein at least two inner convex rings are arranged in the sleeve, and the sleeve is used for a cable to penetrate through; an active alarm device, which is fixedly connected to the cable and is arranged between the two inner convex rings of the sleeve, wherein the active alarm device comprises a conductive claw, so that under the condition that the cable is dragged, the conductive claw is contacted with any one of the two inner convex rings to switch on a built-in alarm circuit of the active alarm device and send a remote alarm signal. An active alarm device is additionally arranged and fixedly connected to an insulating sheath of a cable, an alarm circuit is arranged in the active alarm device, a conductive claw is arranged, when the conductive claw makes contact with a first inner convex ring, the conductive claw is pressed towards the circle center in the circumferential direction to be connected with the alarm circuit, and when the conductive claw makes contact with a second inner convex ring, the conductive claw is pressed in the axial direction to be connected with the alarm circuit. Therefore, anti-theft alarm can be realized in two directions.