710results about How to "Realize the alarm" patented technology

The invention discloses a wireless intelligent home security system, which is characterized by comprising an advanced RISC machine (ARM) processor, a plurality of ZigBee node modules, a plurality of control circuit module and a mobile communication terminal, wherein the plurality of ZigBee node modules and the plurality of control circuit modules are embedded into home equipment, alarming sensors or home appliances; the ARM processor is connected with a mobile communication module, a ZigBee center transceiver module and a touch screen; the mobile communication module and the mobile communication terminal transmit data to each other by a mobile communication network; and the ZigBee center transceiver module and the ZigBee node modules wirelessly transmit data to each other by a ZigBee protocol. The control of the system comprises a remote control way and a local control way. The system realizes remote control over a master control system by a mobile phone and other intelligent terminals; and a human-computer interface or a remote controller is operated by the touch screen to directly realize local control over the system. Therefore, wireless, intelligent, secure and integrated home control is realized.

The invention discloses an elevator integrated management system and an elevator integrated management method. The elevator integrated management system comprises an elevator integrated service management platform, an elevator mobile management platform, an elevator user service platform and an elevator integrated monitoring platform and performs comprehensive supervision on elevator utilization registration, basic information, geographic information, inspection and detection, maintenance, fault repair requests, elevator operating personnel information and the like. The elevator integrated service management platform is used for storing and managing elevator information such as the basic information, working processes, service and failure alarming, operating states and video monitoring; the elevator mobile management platform is used for recording elevator related working processes in real time and achieving elevator data inquiring and working plan management; the elevator user service platform is used for receiving public telephone repair requests, coordinating maintenance and performing emergency rescuing; and the elevator integrated monitoring platform monitors the operating states and audio and video of the elevator in real time to achieve failure alarming and recording, monitoring video recording and analysis recording of the elevator operating states.

The invention relates to a mobile phone remote control intelligent video monitoring system and a monitoring method thereof. The system comprises a video acquisition end, a central server and a monitoring terminal. The monitoring method comprises the following steps: the monitoring terminal obtains a video acquisition end list from the central server; the monitoring terminal watches real-time monitored video acquired by a cradle head camera of the video acquisition end; and the monitoring terminal remotely configures and controls the cradle head cameras of the video acquisition end. The systemand method provided by the invention can automatic track, alarm and store the cradle head cameras and have certain protection function for the cradle head cameras, improve the intelligence and stability of remote monitoring, and have the characteristics of high speed, safety and high efficiency.

The invention provides a method and device for detecting intranet Trojans. The method for detecting the intranet Trojans comprises the following steps: S1, collecting network data packets; S2, identifying baleful domain names by using D1-D3, wherein D1 is for identifying the domain names of DNS request data with abnormal heartbeats, D2 is for judging whether the domain names pointing to special IPs are skipped to be DNS requests pointing to normal IP, and D3 is for judging whether the domain names accessed by the DNS appear in browser access domain names; and S3, identifying the Trojans by using D4-D5, wherein D4 is for judging whether reverse traffic appears, if yes, identifying to be the Trojan, and D5 is for judging whether a request packet or a response packet in the traffic accords with RFC provisions, if not, identifying to be the Trojan. According to the method and device for detecting the intranet Trojans disclosed by the invention, comprehensive detection is performed based on communication behavior characteristics of the Trojans, the unknown Trojans can be found timely and alarmed more accurately, and failure in alarm can be reduced.

The invention relates to a high-voltage transmission line fault identification method based on computer vision, which relates to the technical field of high-voltage transmission line running state monitoring. The invention aims at solving the problem of high false alarm rate of the existing high-voltage transmission line on-line monitoring system. 11) carrying out edge detection on the transmission line image according to the edge detection algorithm, a strong edge image is obtained, and edge endpoints and edge directions are obtained from the strong edge image. Since the gradient direction ofthe edge endpoints is perpendicular to the edge direction, an edge connection window is selected according to the gradient direction of the edge endpoints, and edge connection points are selected inthe edge connection window according to a Hough transform method, and the edge connection points are connected into an edge image. Step 2, screening the transmission lines from the edge images of thetransmission line images by adopting a transmission line detection algorithm based on phase grouping; Step 3, the transmission conductor is processed to identify the fault on the transmission line. Itis used to identify transmission line faults.

The invention discloses an intelligent guarding method based on radar and video integration. The intelligent guarding method comprises the steps that 1) radar monitors and video monitors are distributed in a specified monitoring area; 2) the radar monitors performs real-time monitoring, and when entering of an invasion target is monitored, the three-dimensional position coordinates of the monitored invasion target are outputted and early warning information is emitted, and the video monitored are controlled and started to acquire current synchronous images to be outputted simultaneously; 3) the three-dimensional position coordinates monitored by the radar monitors are mapped into corresponding position coordinates in the synchronous images so that radar detection coordinates are obtained; and 4) the invasion target is identified in the synchronous images according to the radar detection coordinates, and whether the invasion target is a target required to be alarmed is judged according to the image data of the identified invasion target so as to confirm alarm information. The intelligent guarding method based on radar and video integration has advantages of being simple in realization method so that intelligent identification and alarm of the invasion target can be realized and alarm accuracy rate is high.

An internet-of-things control system based on mixed cloud comprises a public cloud system and a plurality of private cloud systems. The public cloud system is connected with the private cloud systemsto form a mixed cloud system, and the public cloud system is used for controlling the communication interaction of the private cloud systems and provides distributed storage and distributed computingcontrol for all nodes formed by all the private cloud systems; the private cloud systems provide network access control for user clients and various internet-of-things terminals and control local resources and meanwhile share a part of storage resources of local storage units and local hardware operation resources. The information isolated island problem of resources in user homes in the current internet-of-things system is solved, the problem that the user family object resources are independent and do not form a unified control coordination system, so that the existing internet-of-things system needs to construct huge system resources at the public end, and the system becomes huge, redundant and high in cost are solved, and the problem that the privacy of a user cannot be protected in ahigh-safety degree is solved.

The invention relates to an ATM self-service bank monitoring system and method comprising an image collecting unit, an image analyzing unit, an abnormal behavior database, an abnormal behavior deciding unit and an alarming unit, wherein the image collecting unit is used for shooting the image of the operation area of an ATM terminal; the image analyzing unit is used for analyzing the image shot by the image collecting unit to acquire user behaviors in the operation area of the ATM terminal; the abnormal behavior database is used for storing abnormal behavior models; the abnormal behavior deciding unit is used for determining whether the user behaviors acquired by the image analyzing unit are abnormal or not according to the abnormal behavior models stored in the abnormal behavior database; and the alarming unit is used for sending out alarm signals when the abnormal behavior deciding unit confirms that the user behaviors are abnormal. The invention also provides a corresponding method. The ATM self-service bank monitoring system automatically analyzes and judges the user behaviors through the image sequence shot by the image collecting unit without the need of human intervention and sends out alarm signals when determining that the user behaviors are abnormal so as to realize the automatic monitoring and alarm for dynamic scenes.

The invention discloses an online and fault diagnosing system for a crane. The system comprises: a signal collection subsystem which is used for obtaining various state information in the crane operation process; a datum acquisition subsystem which is used for acquiring the information obtained by the signal collection subsystem, preprocessing the information and outputting the information; an online monitoring and alarming subsystem which is used for analyzing the information output by the datum acquisition subsystem, the online monitoring, and the fault alarming; a wireless communication subsystem which is used for positioning the crane and transmitting data input to the online monitoring and alarming subsystem; and a remote monitoring and diagnosing subsystem which is used receiving and analyzing the data transmitted by the wireless communication subsystem to realize online monitoring, fault alarming, fault diagnosing and trend analyzing in a remote manner. The system has the functions of online monitoring, advance warning and alarming, analyzing, diagnosing, wireless communication remote monitoring and the like, so reliable bases are provided for the safe operation of the crane, and safety accidents are avoided or reduced.

The invention provides a method and system for alarming. The method comprises the steps of utilizing a mobile communication terminal to collect warning data corresponding to warning types according to the preset warning types and send the warning data to a server, utilizing the server to receive the warning data, making a different comparison of the warning data and the warning preset data corresponding to the warning types, judging whether the difference degree reaches an alarming threshold corresponding to the warning types; and if the difference degree reaches the alarming threshold corresponding to the warning types, sending a first alarm message to an alarm receiving party. User safety can be protected to the largest extent, the risk is prevented actively, an alarm can be given when users are in danger, and alarming efficiency is improved.

The invention relates to a vehicle-bone intelligent power management system used for CAN bus technology vehicles, belonging to the technical field of electronic vehicle control. The system includes a current and voltage monitoring device, a temperature monitoring device, an n route intelligent relay, an m route restorable fuse, a digital electric converting device and a CAN / LIN gateway; wherein, the input end of the current and voltage monitoring device is directly connected to the anode of a storage cell; the output end of the power electric signal of the current and voltage monitoring device is respectively connected to the input ends of the m route restorable fuse, the n route intelligent relay and the digital electric converting device; the temperature monitoring device is arranged at the proper position of the storage cell; the output end of the communication signals of the current and voltage monitoring device, the temperature monitoring device and the intelligent relay are connected with the CAN / LIN gateway by an LIN bus; the CAN / LIN gateway and the digital electric converting device are directly connected with the CAN bus of the body of the vehicle. The system realizes the on-off control of the power electricity of the vehicle by adopting a digital signal, monitors the sate of the storage cell of the vehicle, prevents the storage cell from over-discharging and reduces the static power consumption of the storage cell.

The invention belongs to the technical field of intelligent construction site management, and discloses a video image based intelligent construction site regional management and intrusion detection method and system. The method includes: automatically recognizing an area divided by placement markers in a monitoring area based on a video monitoring image, adopting a mixed Gaussian model to model avideo image background, and extracting a foreground image containing a moving object; performing median filtering and morphological preprocessing on the foreground image, extracting connected domain features and LBP texture features of the moving object, and adopting the two-level tracking strategy; performing intrusion detection on each extracted moving object and the region detected in the image; sending a sound and light alarm signal according to a regional management specification for a detected illegal intrusion event. The tracking of the moving target adopts the two-level tracking strategy of the connected domain block features and the LBP features, thus ensuring the real-time property and the accuracy of the target tracking.

The invention provides equipment and a method for detecting and alarming the tumbling of a human body. The equipment comprises a microprocessor, a battery for charging the equipment, and a global positioning system (GPS) module, a wireless communication module and a sensor which are connected with the microprocessor, wherein the sensor is arranged on portable equipment (such as a personal tracker, a mobile phone with a positioning function and the like) with the GPS module and the wireless communication module to detect the tumbling of the human body, so that the portable equipment can be used for alarming the abnormal conditions to a service center or a specific mobile phone number in real time when personnel who carry the equipment tumbles, and guarding personnel can realize the accidents of guarded personnel, and can be contacted with the guarded personnel in time and take corresponding salvation measures.

The invention provides a YOLOV3-based smoke and fire automatic detection and early warning method. The method comprises the steps of S1, constructing a sample set of a training detection model; S2, establishing a deep learning target detection network architecture based on YOLOV3; S3, configuring training parameters, and training a detection model; S4, acquiring to-be-detected image information; acquiring image frames of an on-site video picture from monitoring equipment on a to-be-detected site, and processing frame-by-frame images by utilizing an image preprocessing method; S5, detecting smoke and flame targets, and sending the video image frames processed in the step S4 into a pre-trained detection model in the step S3 for target detection, and outputting a detection result; S6, carrying out post-processing on a detection result; and S7, continuously analyzing the detection results of the multiple frames of images, confirming that the target is valid and outputting an alarm. According to the YOLOV3-based smoke and fire automatic detection and early warning method, second-level detection and alarm can be realized, the fire early warning time is greatly shortened, timely notification and timely rescue are realized, and fire spreading is effectively prevented.

The invention provides a foggy day detecting method based on an image color spatial feature. The method comprises the following steps of first step, obtaining a background picture through a video image or a single image; step 2, performing color space conversion for the background picture, and extracting the color space feature: firstly performing color space conversion for the background picture, converting from an RGB (red-green-blue) color space into an HSV (hue, saturation, value) color space, and extracting the features of various components of the HSV according to the information included image; and step 3, dividing the weather information included image into a non-foggy day, a little foggy day and a dense foggy day according to the identification conditions: at first, if the identification condition 1 is met, the weather is the dense foggy day, otherwise the identification is continued; secondly, if the identification condition 2 is met, the weather is the non-foggy day, otherwise, the identification is continued; and finally, if the identification condition 3 is met, the weather is the little foggy day, otherwise, the weather is the dense foggy day. The method provided by the invention is suitable for being used for monitoring the foggy day in expressways, particularly pre-warning the emergency of agglomerate fog in partial road segments, thus, the safe road driving can be ensured.

The invention discloses a remote supervising system and method for city secondary water supply quality safety. By the aid of the remote supervising system and method, centralized and unified management of all supervised areas can be realized. The system comprises wireless water quality monitoring sensors, water quality monitoring base stations, a WEB system server, a GSM modem module and client computers, wherein the wireless water quality monitoring sensors communicate with the water quality monitoring base stations through a wireless network, the water quality monitoring base stations are in remote communication with the WEB system server through the Internet or a GPRS (general packet radio service) network, the GSM modem module is connected with the WEB system server through a serial port, and the WEB system server is connected with the multiple client computers through the Internet. With the adoption of the remote supervising system and method, all running information in the monitored areas can be issued to users through the Internet, and real-time supervision on different scales of secondary water supply reservoir water quality in different regions is realized, so that secondary water supply safety and water quality supervision timeliness are further improved.

The invention discloses a lightning protection environment online monitoring alarm network system, which comprises a data acquisition terminal, an intelligent management terminal, a user center server and an internet user terminal, wherein the data acquisition terminal is used for acquiring feature parameters of the lightning protection environment in real time and outputting early warning information or alarm information to the intelligent management terminal when the feature parameter is greater than the preset early warning parameter value or the alarm parameter value; the intelligent management terminal uploads the received warning information or alarm information to the user center server; the user center server sends the received warning information or alarm information to a mobile phone of a specified maintenance person in a short message mode; and the internet user terminal remotely monitors the lightning strike phenomenon of the lightning protection environment through querying information on the user center server in real time. According to the lightning protection environment online monitoring alarm network system, acquisition and alarm are carried out on remote real-time data of the lightning protection environment, various economic losses due to lightning troubles can be reduced, and lightning disasters can be prevented.

The invention discloses an active machine learning system for hazardous host detection. Hosts high in possibility of being destroyed are marked by the aid of SIEM (security information and event management) warning information, various safety logs and research notes of analysts. The active machine learning system comprises parts including data collection, feature engineering, mark production, machine learning, feedback algorithms of active learning analyst insights, real-time warning and the like; natural language progressing, text mining and graphics-based methods are adopted, targets are generated and characteristics are created for machine learning; a machine learning mechanism of deep belief network, multilayer deep neutral network, random forest, support vector machine, Logistic regression and the like are adopted for machine learning. The hazardous hosts in the network can be accurately detected, false alarm rate is greatly reduced, host security detection requests and SOC (security operation center) actual investigation are considered, important security events can be handled in time, and labor cost is reduced while network security monitoring capability is improved.

The invention discloses a fire automatic alarming system based on LORA wireless communication and a method thereof. The system comprises a master control system, fire detecting equipment, alarm equipment, a firefighting executing device and an LORA wireless communication network. The fire detecting equipment is used for monitoring a fire signal and transmits a fire signal to the master control system. After the master control system receives the fire signal, the master control system transmits an alarm signal to the alarm equipment, and simultaneously the master control system transmits a firefighting control signal to the firefighting executing device. After the alarm equipment receives the alarm signal, the alarm equipment notifies a user of a fire alarm condition in a manner of transmitting a high-strength sound-and-light alarm signal. The firefighting executing device makes field executed firefighting equipment perform fire extinguishing according to the firefighting control signal. According to the fire automatic alarm system and the method thereof, LORA wireless communication technology is utilized, thereby truly realizing an alarming and firefighting linkage function of an existing wired firefighting automatic alarm system, and preventing defects of complicated wiring, many difficulties in manual mounting and complicated maintenance in a wired fire automatic alarm system.

The invention discloses a porcine respiratory disease automatic recognition alarming method. The method comprises two steps of constructing a support vector machine model of pig's cough sound and a disease a pig suffering from, collecting the pig's cough sound and recognizing signals. According to the porcine respiratory disease automatic recognition alarming method, pigs' cough sound signals are collected and analyzed through the support vector machine model, the automatic recognition and alarming for a porcine respirator disease are achieved, the pig's health condition can be remotely monitored at an appropriate time, a great number of human and material resources for porcine respiratory disease detection are saved, and the feeding efficiency of pigs is improved.

An integrated digital home control system based on hybrid cloud and heterogeneous Internet of Things includes a public cloud system, multiple private cloud systems, one or more user clients and a plurality of Internet of Things terminals. The public cloud system is connected with the plurality of private cloud systems to form a hybrid cloud system, wherein, the private cloud systems are controlledby an internal server; the internal server comprises a wireless controller for controlling the configuration and operation of a plurality of wireless access points AP, and the wireless controller isconnected with the plurality of APs; and each AP is a device with a radio frequency interface supporting a plurality of transmission protocols, and each AP is connected to the plurality of Internet ofThings terminals for controlling the access of the plurality of Internet of Things terminals to a wireless network. The invention solves the problems that the current control scheme of the Internet of Things based on the hybrid cloud is single in design and can not be interconnected, and the current scheme has complex user terminal settings, too dependent on cloud services, and at the same time has a wide variety of communication protocols and can not be managed uniformly.

The invention discloses an independent photoelectric smoke detection alarm which comprises an alarm base, an alarm upper cover and a circuit board. The alarm upper cover covers the alarm base to form a photoelectric darkroom, and only smoke and less light are allowed to enter the photoelectric darkroom. A space is surrounded by a lower recessed cavity in the alarm base and an upper recessed cavity in the alarm upper cover to form the photoelectric darkroom. The circuit board is arranged in the lower recessed cavity. A signal processing module, an infrared transceiver module and a wireless communication module are integrated on the circuit board. The infrared transceiver module comprises an infrared light emitting diode and an infrared receiving diode. A voice alarm module and a display module are built in the alarm upper cover. A test button is arranged on the alarm upper cover. A power supply module is arranged in the alarm base. The independent photoelectric smoke detection alarm provided by the invention has the advantages of strong anti-interference ability, sensitive detection, simple structure, reasonable design, accurate detection and long service life. A 3-volt lithium manganese battery with the service life of 10 years is built in the independent photoelectric smoke detection alarm.

Disclosed are an adaptive control method for repeater-station output signals, and a device and a system of the adaptive control method. The adaptive control method is achieved in a manner that, the quality of the repeater-station output signals is detected, a signal-quality characterization value is compared with a signal-quality threshold after signal-quality calculation, and the dynamic power control is carried out based on the comparison result. According to the invention, echo cancellation technology, signal-quality monitoring and adaptive power regulation are combined so as to ensure the maximal output power while the signal quality is higher than the signal-quality threshold, and the self-excitation of the repeater station is effectively prevented, thereby helping the widening of the coverage area of the repeater station, improving the coverage effect of the repeater station, and eventually enabling self-consistent operations between the repeater stations in the point adding network.

A real-time monitoring system of a modularized and bus-type tower crane belongs to the technical field of mechanical and electrical integration and comprises a bus-type field information acquisition terminal, a bus-type data processing module, a bus-type functional expansion unit, wherein, the bus-type field information acquisition terminal completes the concentration of the analog quantity information and pulse quantity information of the field status, and sends the status information and a mark to the bus-type data processing module by a CAN bus; the bus-type data processing module sends parameter classification information to the bus functional expansion unit; in the bus-type functional expansion unit, a bus-type field display unit performs the working status display and alarm of the tower crane according to the CAN bus information received; a bus-type remote communication unit sends the status information to a remote monitoring center; and a bus-type field control unit controls electric motors of the tower crane according to the CAN bus information received. The real-time monitoring system meets the requirements of flexible expansion of the monitoring parameters and compatibility and exchangeability of product.

The invention relates to a Zigbee networking-based intelligent safe-guard system and a realization method. The Zigbee networking-based intelligent safe-guard system comprises a central controller, a power supply reset module, a function keystroke, a sensor module, a signal processing module, a Zigbee transceiving module, a USB (Universal Serial Bus) camera, an alarm module and a GPS (Global Position System) module. The realization method disclosed by the invention comprises the following steps that: the sensor module collects data and completes primary process of the collected data through the signal processing module; the Zigbee transceiving module sends the data processed by the signal processing module to the central controller; the central controller receives the data sent by the Zigbee transceiving module and processes the data; and the central controller drives the alarm module to give an alarm if finding abnormal conditions after processing data. According to the technical scheme provided by the invention, the safe-guard system is more perfect; simultaneously, home security conditions are monitored and inquired in real time remotely; the safe-guard system has the function of recording onsite videos; and the safe-guard system in the fortification state can start the USB camera to photograph a scene when an infrared correlation sensor or a door magnet triggers alarm.

The invention provides an identification method for judging home invasion in real time, belonging to the security field of video surveillance. The method comprises the steps of: collecting a real-time surveillance video or image and preprocessing the video or the image; and identifying the invasion time, number, body figures and threatening degree of the invaders in the surveillance region by zoning and segmentation processing. According to the method, the problems that the current video or image surveillance system is only used for static forensics and cannot identify a warning condition or give an alarm without the assistance of other sensors are solved; and specific information of the warning condition such as the number, body height, body width and threatening degree of the invaders can be analyzed by the method according to the surveillance video or image, and the surveillance effect and the alarming effect for the surveillance region can be greatly improved.

The invention relates to the technical field of battery charging of electric vehicles, in particular to a charging control device and method of a battery in an electric vehicle. The charging control device comprises a charging controller, a charging instruction input module, a charging pile controller, a charging mode affirming module, a charge calculating and paying module, a charging connecting module, a charging information collecting module, a charging process exception monitoring module, a charging volume monitoring and charging remain monitoring module, a power-off module, an alarming module and a remote monitoring terminal device, wherein the remote monitoring terminal device is used for receiving in real time charging information of the charging process exception monitoring module, the charging volume monitoring and charging remain monitoring module and the power-off module through a wireless communication module. The charging control device and method of the battery in the electric vehicle has the advantages that remote monitoring of the charging process of the battery is achieved, safety and stability of battery charging are improved, integrated managements such as effective monitoring of various kinds, selections of charging modes and storage of charging information are achieved.

The invention discloses an automatic identification and monitoring system for ships in sea area of a 110kv submarine cable. The automatic identification and monitoring system for the ships in sea area of the 110kv submarine cable comprises a platform, a support system and six functional modules, wherein the platform is a unified frame structure platform functioning as a unified plug-in type platform, a unified date model, a unified data exchange bus and a unified data interface; the support system is an AIS (Automatic Identification System) ship dynamic sub-system; the six functional modules are an electronic chart display platform module, a data receive and interface module, a submarine cable area alarming module, a history playback module, a thematic element management module and an alarm video linkage module. According to the automatic identification and monitoring system for ships in the sea area of the 110kv submarine cable, on basis of achieving AIS ship monitoring in the operation region of the submarine cable, all-weather automatic and intelligent monitoring and early-warning to the operation region of the submarine cable is achieved by data intelligent analysis and automatic warning functions, so that accidents caused by that ships anchor in the submarine cable region are basically avoided, operation security of the submarine cable is ensured, and power supply quality of the submarine cable is improved.

The invention relates to an on-line detection and compensation system applied to bend processing. The on-line detection and compensation system comprises a numerical control pipe bender, an image acquisition device and a numerical control system, wherein the numerical control pipe bender is used for pipe bend processing; the image acquisition device is used for acquiring an image; the numerical control system is used for realizing on-line detection and compensation; the bend station of the numerical control pipe bender is positioned in the visual range of the image acquisition device; the numerical control system comprises an action execution module, an image acquisition module, an on-line detection module and a real-time compensation module; the action execution module is used for controlling the work of the numerical control pipe bender; the image acquisition module is used for acquiring the springback condition of the bent pipe shot by the image acquisition device; the on-line detection module is used for computing the current value after springback according to the acquired image; and the real-time compensation module is used for performing dynamic feedback control on a compensation parameter of the next bent pipe according to a springback error between the current value and the designed value. The on-line detection and compensation system has the advantages of high reliability and effective improvement on bending accuracy.

The invention is applicable to the technical field of nuclear power and provides a nuclear power plant leakage monitoring and alarming method. The nuclear power plant leakage monitoring and alarming method comprises the steps of obtaining a unit operating condition signal, and determining leakage monitoring availability according to the unit operating condition signal; acquiring a process systemstate signal and leakage monitoring instrument data to determine the reliability of the leakage monitoring data if the leakage monitoring is in an available state; executing leakage source localization analysis and quantitative calculation of a leakage source if the leakage monitoring data is in a reliable state; triggering a leakage alarm if diagnosis results of the leakage source location analysis and the quantitative leakage rate calculation indicate that leakage occurs and leakage response characteristics are met. In addition, the invention also provides a nuclear power plant leakage monitoring and alarming system. The accuracy of leakage monitoring can be effectively improved, the intervention of operating personnel is reduced, accordingly human-made faults are decreased, and the automation level of leakage monitoring is improved.