90 results about "Alarm response" patented technology

The invention relates to the technical field of motion detection, in particular to an old people falling early warning system based on motion trail analysis, which comprises a gravity center identification module, a trend identification module, an inertia pushing module, a phase judgment module and a grade response module. According to the method, the vertical coordinates of the key points of the waist and the two feet in the image frame are acquired, and the height difference change is continuously tracked, so that the potential falling initial state can be identified from the static posture, the vector included angles among the three groups of bone points of the hip knee, the knee ankle and the shoulder pelvis are subjected to sequence analysis, and whether synchronous disintegration occurs in the coordination action is identified; the identified trend sequence is mapped according to the risk level, a differential response mechanism is applied, a high-density corresponding relation is constructed between the behavior trend and the alarm level, graded response and time sequence triggering of the falling risk are achieved, the accurate identification capability of the falling precursor action is enhanced, the sensitivity and discrimination of the alarm response are also improved, and the safety of the falling risk is improved. And misjudgment and missed judgment are effectively avoided.

The invention relates to the technical field of abnormal alarm, in particular to an intelligent alarm method and system for the abnormal state of a battery, and the method comprises the following steps: obtaining a current period log, calculating a residual vector, analyzing the change trend of a residual track included angle, extracting an abnormal tendency period, and judging whether temperature rise abnormity exists or not through the combination of a load grade and temperature rise deviation. And judging whether microcirculation characteristics are met or not, correcting an alarm level, and triggering multi-source state abnormity alarm. According to the method, the evolution trend of the battery state can be dynamically tracked and the formation process of the abnormal tendency can be accurately captured by constructing the state residual feature vector and combining with multi-cycle data analysis, and the false alarm rate is reduced and the real-time monitoring capability of the battery abnormal state is improved through refined load and temperature rise response judgment; by detecting the trend change, the temperature response offset and the microcirculation phenomenon in the periodic change of the battery, the alarm response can be adjusted in real time under different load conditions, and the accuracy and the reliability of an alarm mechanism are ensured.

The invention relates to the technical field of geological disaster alarm, and discloses a geological disaster remote sound-light alarm and data acquisition system and method, which realize intelligent judgment of early warning level through an early warning rule and a trend model on the basis of supporting acquisition of multi-source geological and environmental data, and realize remote sound-light alarm and data acquisition of geological disasters by introducing a regional linkage mechanism. And the linkage coordination capability of early warning accuracy and alarm response is effectively improved. Besides, according to factors such as monitoring point risk levels, geographic topology and key facility distribution, response priorities of acousto-optic devices in an area are dynamically allocated, multi-point multi-level differential alarm control is realized, post-disaster traceability analysis is realized by using alarm state feedback operation, and the risk level of the monitoring point is greatly improved. And the alarm reliability and the emergency response efficiency in a complex geological scene are obviously improved.

The invention discloses a leaky coaxial cable alarm trend analysis system based on multi-modal storage. The system comprises the following steps: S1, confirming a system core target; s2, a multi-mode storage core support; s3, analyzing the alarm trend of the leaky coaxial cable; and S4, outputting a trend analysis result. On the fault early warning level, a 50-meter geofence constructed by a space-time alignment engine and a GPS clock synchronization mechanism are combined with a dual-channel degradation detection model, the false alarm rate is reduced by more than 40%, and subway tunnel false alarm in a typical scene is reduced from 15 times per day to 9 times per day. In an operation and maintenance decision-making level, a fault root cause probability matrix is fused with a multi-source evidence chain to realize three-minute quick positioning, so that the response efficiency of a railway external damage accident is improved, and in a system efficiency level, a cold and hot data layering strategy and radio frequency parameter piecewise linear compression cooperate to reduce the storage requirement, original data is compressed, and the system efficiency is improved. And the edge side lightweight reasoning module realizes 200ms-level real-time detection through a pruning model and I NT8 quantization, and the alarm response delay is reduced.

The invention provides an intelligent smoke and gas dual-detection alarm device based on multi-mode sensing fusion, and the device comprises a housing which is internally provided with a cavity-divided physical isolation structure which comprises a smoke detection cavity and a gas detection cavity; a smoke detection module; a fuel gas detection module; the main control module is electrically connected with the smoke detection module and the fuel gas detection module and is used for receiving and processing data acquired by the smoke detection module and the fuel gas detection module; the intelligent algorithm module is arranged in the main control module, and the intelligent algorithm module is used for executing multi-modal sensing data fusion analysis and dynamic threshold calibration; the alarm response module is electrically connected with the main control module, and the alarm response module is used for executing graded alarm response according to the analysis result of the intelligent algorithm module; a communication module; and a power supply module. According to the invention, through a cavity-divided physical isolation structure, a multi-sensor fusion technology and an intelligent algorithm system, high-precision detection of smoke and fuel gas is realized, and the false alarm rate is reduced.

The invention provides a water immersion and electric leakage monitoring method, device, system and equipment for power equipment, and relates to the technical field of power equipment safety monitoring. The method comprises the following steps: acquiring electrical monitoring data of a grounding wire of power equipment and water level monitoring data of an area where the power equipment is located; judging whether an electric leakage event occurs or not according to the electrical monitoring data; water immersion event judgment is conducted according to the water level monitoring data, when the water level monitoring data exceed a preset water level threshold value, visual review operation is triggered, and whether a water immersion event occurs or not is judged based on the result of the visual review operation; and determining different alarm levels according to a combination condition between the judgment result of the water immersion event and the judgment result of the electric leakage event, and executing alarm responses corresponding to the alarm levels. According to the method, the electrical monitoring data is obtained in a non-contact manner, and a dual verification mechanism of'water level threshold triggering + visual rechecking 'is established, so that the water immersion and electric leakage states of the electrical equipment can be quickly and accurately identified.

The invention relates to the technical field of health monitoring, in particular to a health state alarm response system based on multi-dimensional monitoring, which comprises a dynamic threshold module, a physiological monitoring module, an anomaly positioning module, an inducement output module, an anomaly intervention module and an early warning response module, according to the method, multi-dimensional original data of a user is collected, meanwhile, a timestamp alignment and scene label binding technology is adopted, an exclusive physiological index normal fluctuation interval library is constructed for different large classes of scenes, then the problem of misjudgment of a static threshold value is fundamentally solved, the cause of'abnormity 'is deeply and accurately positioned, and the accuracy of the abnormal condition is improved. The abnormity-scene-behavior-cause full-link association not only enables the user to clearly know the cause of the abnormity, but also provides data support for the medical personnel to formulate a targeted intervention scheme, and reasonably formulates the targeted intervention scheme based on the intervention list, thereby avoiding the ineffectiveness of general suggestions, enabling resources to be inclined to high-risk users, and improving the user experience. The complication occurrence rate is effectively reduced.

The invention discloses a flat gate valve performance detection device, and belongs to the technical field of gate valve detection devices, the flat gate valve performance detection device comprises a detection table, the top of the detection table is provided with a caliber detection mechanism, and the bottom of the detection table is provided with an air tightness auxiliary detection mechanism; according to the invention, through the arranged aperture detection mechanism, the multi-station alternate conveying detection of the flat gate valve body is realized, the detection efficiency and the automation level are significantly improved, and through a mechanical feedback structure formed by the extrusion plate, the reset spring, the push type trigger switch and other components, the detection precision can be greatly improved on the premise of no complex sensor. Structural elasticity changes are matched with displacement triggering, structural abnormity of the gate valve to be detected is accurately judged, sound-light alarm is given out, dependence of a detection system on circuit stability is reduced, meanwhile, the anti-interference capacity and the capacity of adapting to severe industrial environments of the device are enhanced, alarm response is fast, structural configuration is stable, and batched flat valve body rotary detection is facilitated.

The invention relates to an AI analysis alarm platform and method for video monitoring, and relates to the related technical field of video analysis alarm, and the platform comprises a priori threshold determination module which is used for constructing a negative space based on absolute normal data as a preposed priori threshold according to a region operation and maintenance rule for a target monitoring region; the abnormal alarm management module is used for accessing monitoring stream data, triggering a preposed prior threshold, executing data entropy change judgment by taking a negative space as a baseline, and performing abnormal alarm management; comprising a direct alarm response sub-module; a directional alarm response sub-module; wherein the preposed prior threshold and depth discriminator is an embedded plug-in of the AI analysis alarm platform. The technical problem that in the prior art, abnormal recognition model training depends on positive samples and annotation data and is difficult to adapt to dynamic complex scenes, so that video analysis alarm accuracy and timeliness are poor is solved, and the technical effect of improving video monitoring analysis alarm accuracy and timeliness is achieved.

The invention relates to the technical field of nursing informatization, and particularly discloses an alarm system and method for intelligent nursing management. The system comprises a data acquisition module, a threshold judgment module, an intelligent analysis module, an alarm push module and a record archiving module. The data acquisition module is used for acquiring multiple physiological parameter data of a patient in real time; the threshold judgment module judges whether to trigger a primary alarm or not according to a set standard value and tolerance; the intelligent analysis module calculates an alarm comprehensive risk index in combination with the primary alarm result, the historical health state of the patient, the nursing grade and the medication condition; the alarm pushing module synchronously pushes the alarm information to the nurse terminal, the doctor workstation and the electronic medical record system according to the risk index level; and the recording and archiving module performs whole-process recording and automatic archiving on the alarm response process.

The invention provides a passive perception radar AI weak target detection method and system, and the method comprises the steps: obtaining a multi-dimensional electromagnetic signal data set of a target monitoring region, carrying out the signal feature extraction of the multi-dimensional electromagnetic signal data set, and obtaining the time-frequency distribution features and signal mode features corresponding to the multi-dimensional electromagnetic signal data set; based on a pre-trained weak target identification model, carrying out joint analysis processing on the time-frequency distribution characteristics and the signal mode characteristics, and generating weak target confidence parameters of potential weak target reflection signals; generating a weak target detection result of the target monitoring area according to a comparison result of the weak target confidence coefficient parameter and a preset confidence coefficient threshold value; and transmitting the weak target detection result to the target terminal device to trigger an alarm response operation. According to the method, the problem of characteristic loss caused by signal preprocessing and target detection module separation in a traditional method is solved, and the real-time performance of weak target detection and the system robustness are remarkably improved.

The embodiment of the invention provides an intelligent alarm method and device for tumble monitoring, and the method achieves the effective protection of the privacy of a user through the innovative design of a low-position visual angle collection mechanism, the setting of the installation height of a camera not exceeding the knee joint, and the starting of collection only during the abnormal motion. A detection mechanism based on a human skeleton model is constructed, and an accurate fall judgment strategy is established by combining multi-part vertical distance analysis and motion state parameters. An intelligent alarm mechanism is introduced, and quick response of an emergency contact person is realized through key video packaging and emergency channel establishment. According to the method, while the privacy of the user is protected, the defects of the traditional technology in the aspects of data acquisition, tumble detection, alarm response and the like are effectively overcome, and the practicability and reliability of tumble monitoring are remarkably improved.

The invention relates to a motor abnormal sound intelligent identification method based on time-frequency characteristics and hearing adaptation, and belongs to the technical field of motor fault detection. The method comprises the steps that motor operation sound signals are collected in real time through a multi-azimuth sound signal collection array, and signal preprocessing and dynamic framing processing are carried out; a time-frequency spectrum is generated through short-time sliding window time-frequency conversion, a normal operation sound auditory baseline is established in combination with an auditory perception adaptive dynamic weighting technology, and hierarchical weighting processing is performed on the time-frequency spectrum to generate fused time-frequency weighted features; a time-frequency weighted feature enhanced residual network model is constructed, and abnormal feature extraction and recognition are realized through a cross-dimension fusion mechanism, a fault feature transfer learning mechanism and a fault feature attention mechanism; and a working condition dynamic adaptive reasoning mechanism and a hierarchical linkage alarm system are adopted to complete state recognition and alarm response. The method effectively improves the accuracy and real-time performance of motor abnormal sound recognition, and is suitable for motor state monitoring in a complex industrial environment.

The invention provides a tunnel safety monitoring and early warning management method and system, and relates to the technical field of tunnel safety, and the method comprises the steps: carrying out the multi-mode data collection of a tunnel environment through a plurality of intelligent monitoring terminals connected to an RS485 bus, and carrying out the environment abnormality alarm triggering analysis; when any intelligent monitoring terminal detects an alarm event, the alarm event is broadcasted to other terminals through an RS485 bus, and other terminals receiving the alarm event autonomously analyze a diffusion probability map, calculate an emergency evacuation route and control an escape indicating device to display an evacuation direction; communication authority differentiation scheduling based on the RS485 bus is executed, and alarm event situation awareness based on multi-modal data dynamic updating is completed. The technical problems that in the prior art, tunnel safety monitoring and early warning management often adopts a centralized control mode, information transmission and processing are lagged, the alarm response time is long, and effective emergency disposal cannot be carried out in time are solved.

The invention discloses a multi-source data fire-fighting facility risk level assessment and early warning decision-making method, and particularly relates to the technical field of intelligent fire-fighting alarm devices and public safety, and the method comprises the steps: S1, collecting the state of a fire-fighting facility and environment dynamic data in real time, S2, calculating the static health degree index of the facility through an uncertainty reasoning model and a topological relation, and S3, calculating the risk level of the fire-fighting facility according to the static health degree index. The method comprises the steps of S1, generating an environment dynamic risk degree index through an adaptive evaluation model, S4, fusing the two indexes through a nonlinear coupling function to generate a comprehensive risk level and a visual map, and S5, matching, verifying and deducing a recommendation decision scheme with a utility score based on risk information. And a grading early warning signal is generated so as to drive a corresponding alarm device to execute early warning. According to the method, the defects of static facility assessment and dynamic environment risk separation are overcome, accurate risk quantification and prospective early warning are realized, and the intelligent level and execution reliability of alarm response are remarkably improved through an alarm decision closed loop and a self-optimization mechanism.

The invention relates to the technical field of monitoring devices, in particular to a building structure dynamic response and environmental perception integrated monitoring device, which mainly comprises a mounting plate, a detection mechanism, an alarm mechanism, a power supply mechanism, a power supply mechanism, a power supply mechanism, a power supply mechanism and a power supply mechanism, the alarm mechanism is arranged on one side of the mounting plate. A laser detector is arranged to detect and alarm materials in the environment, when vibration drives a swing ball to push an arc-shaped plate to move, a block body and an adjusting column are driven to move, the adjusting column and a sliding groove are matched to drive a connecting frame to rotate by a certain angle, the lower end of the connecting frame drives a conduction block to make contact with a conduction plate, and connection of the conduction plate is started; the vibration of the building structure is transmitted to the alarm through the second connector, so that the alarm gives an alarm, and the alarm can give an alarm according to the monitoring of the vibration of the same position of the building structure and the disintegrating slag falling from the vibration, so that the monitoring accuracy and the alarm response speed are improved.

The invention relates to the technical field of intelligent safety, and discloses an independent smoke sensing detection alarm system based on a mobile phone remote interaction and reminding function, which comprises a smoke sensing detection module, a data processing and analysis module, an optimal control module, a signal transmission and quantum processing module, a mobile phone remote interaction and reminding module and an alarm response and intelligent linkage module, the method comprises the following steps: detecting various concentrations in an environment through various sensors, generating real-time data, performing denoising and trend analysis, optimizing the gain and frequency of an alarm signal, and combining a quantum signal processing technology to improve a signal transmission effect, so that a user receives the alarm signal through a mobile phone terminal and can remotely execute control operation. According to the invention, a combined detection technology of the smoke sensor, the temperature and humidity sensor and the gas concentration sensor is adopted, various risk factors in the environment can be comprehensively monitored, and through real-time data processing and trend analysis, the system can identify fire hazards in advance and send out an alarm signal in time.

This utility model relates to an intelligent intrusion prevention security system, comprising a security sensing device, an alarm response device, and a security host. The security sensing device includes a fixed infrared communication sensing device mounted on the fixed end of the opening / closing mechanism and a mobile infrared communication sensing device mounted on the moving end of the opening / closing mechanism. When the opening / closing mechanism is closed, the mobile infrared communication sensing device cooperates with the fixed infrared communication sensing device for real-time two-way encrypted communication. The fixed infrared communication sensing device is connected to the security host, and its communication status with the mobile infrared communication sensing device is fed back to the security host by responding to a true random mathematical problem. The security host is connected to the alarm response device, and is used to monitor the operating status of the alarm response device and the feedback information from the fixed infrared communication sensing device in real time, and can control the opening and closing of the alarm response device. The purpose of this utility model is to provide an intelligent intrusion prevention security system that can achieve efficient and rapid security response, providing comprehensive and intelligent security protection.

This invention relates to the field of power electronics technology, specifically to a method and system for monitoring the insulation of DC charging piles. The method includes the following steps: real-time monitoring of branch voltage deviation from the busbar; adjusting measurement compensation parameters; correcting the measured value of branch insulation resistance; identifying leakage current drift; locating the leakage branch and triggering relay control; sending alarm information; and generating a charging pile monitoring record. In this invention, the consistency of branch voltage measurement is improved by combining branch voltage deviation trends with voltage compensation parameters. Observational errors are corrected by comparing insulation resistance fluctuations, optimizing measurement accuracy. Current deviation compensation under no-load conditions eliminates sensor zero-point drift interference. Leakage branch identification is achieved by combining current jump amplitude and voltage direction, enhancing location accuracy. Relay control and event information linkage are used to form a closed loop between alarm response and equipment status recording, improving the real-time performance and completeness of system monitoring.

The present application relates to the technical field of power transmission line operation safety monitoring, and discloses an intelligent monitoring system for preventing high-falling in power transmission line operation, which comprises a data acquisition end, an edge computing module, a cloud platform and an alarm response module; the data acquisition end constructs a multi-source perception network of "person-equipment-environment" by means of an intelligent safety helmet, a safety belt and auxiliary equipment, and accurately collects position, posture, stress and environmental parameters; the edge computing module preloads a dangerous action recognition model trained specially, and realizes real-time screening of abnormal data; the cloud platform deeply analyzes data in combination with a machine learning algorithm, and visualizes the operation scene by means of digital twin technology; and the alarm response module is provided with three thresholds, and realizes multi-end collaborative response and event whole-process tracing. The present application solves the problems of existing passive protection, single monitoring and lagging response, realizes accurate identification of high-falling risk, real-time early warning and collaborative disposal, and significantly improves the safety and management efficiency of power transmission line operation.

The utility model provides a test device which is used for testing an alarm module of a controller, the alarm module comprises a signal input end, a signal output end and a power supply end, and an alarm input unit and an alarm output unit are respectively connected with a first connection port of the controller; the test equipment comprises a signal simulation circuit, an alarm simulation circuit and a second connection port; when the second connection port is connected with the first connection port, the signal simulation circuit is connected with the power supply end and the signal input end through the second connection port, and the alarm simulation circuit is connected with the signal output end through the second connection port. When the alarm module is tested, the signal simulation circuit receives power supplied from the power supply end and outputs a simulation alarm signal to the signal input end; if the alarm simulation circuit receives the alarm response signal, a simulation module included in the alarm simulation circuit is in a first state; and if the alarm simulation circuit does not receive the alarm response signal, the simulation module is in a second state.

The present application provides a digital monitoring system and method for a gas pressure regulating cabinet. The system includes: a main monitoring unit and multiple sub-monitoring units, the main monitoring unit is arranged at the main monitoring station, and the multiple sub-monitoring units are arranged in sequence at each gas pressure regulating cabinet along the gas pipeline, and each sub-monitoring unit is respectively communicated with the main monitoring unit; the sub-monitoring unit is used to monitor the gas pressure regulating cabinet where it is located, collect monitoring data, and send the monitoring data to the main monitoring unit according to a preset period; the main monitoring unit is used to generate monitoring results based on the monitoring data received from each gas pressure regulating cabinet, and the monitoring results include status information of each gas pressure regulating cabinet. Compared with the existing technology, the present application can monitor the gas pressure regulating cabinet on the gas pipeline in real time at the main monitoring station, without the need for line patrol personnel to check the gas pressure regulating cabinet every day, so once a leak occurs, it can be discovered in the first time, the alarm response is fast, and the power consumption is low.

The invention discloses a combined train obstacle detection system and method, and belongs to the technical field of train operation safety, the detection system comprises an active detection module, a passive detection module, a processor module and a communication module, the active detection module comprises a distance detection assembly and a form detection assembly; the distance detection assembly and the form detection assembly are arranged at the head position of the train and are respectively used for detecting form information and distance information of an object; the passive detection module comprises a pressure detection assembly arranged at the bottom of the train and used for detecting pressure information when the train makes contact with an obstacle. The processor module is in communication connection with the distance detection assembly, the shape detection assembly and the pressure detection assembly, and judges and generates different signals according to detected information; and the communication module transmits the information received by the processor module and the generated signal to a cab and a train control center. According to the combined train obstacle detection system, early warning response and alarm response of different levels of obstacles can be achieved.

The invention belongs to the field of dynamic alarm strategy communication, and particularly relates to a dynamic alarm strategy communication method supporting protocol hot plug, which comprises the following steps: S1, constructing a protocol hot plug system; and S2, a dynamic alarm strategy of the alarm system. According to the invention, through a visual alarm response strategy editor, alarm triggers / monitoring systems, alarm display of alarm response terminals, voice broadcast, acousto-optic feedback, relay control and the like are set for different alarm types; according to the method and the system, the alarm parameters can be dynamically configured, alarms with different priorities can be adaptively adjusted by adopting different prompt modes and processing flows, the unified alarm information is converted into a target protocol format, and in addition, the communication protocols can be subjected to hot plugging by loading / unloading the communication protocol implementation module during operation, so that the communication protocols are diversified.

The invention belongs to the technical field of security and protection monitoring, and relates to an air-ground cooperative intelligent alarm response and unmanned aerial vehicle patrol evidence obtaining system, which comprises a channel feature sensing module used for generating space channel feature data; the cooperative resonance construction module is used for constructing a stable air-ground coupling resonance system; the system disturbance monitoring module is used for identifying disturbance and generating an abnormal alarm by monitoring the change of an energy supplementary value; the target feature inversion module analyzes signal distortion, inverts the position, volume and dynamic information of the intrusion target, and generates a spatial analysis portrait of the intrusion target; the visual tracking locking module is used for driving the unmanned aerial vehicle to perform visual locking on the target and acquiring locking video evidence; the comprehensive evidence obtaining report module associates and binds the video evidence, the analysis portrait and the alarm timestamp, and outputs an air-ground collaborative evidence obtaining report; the problems that an existing security and protection system is slow in response, high in false alarm rate and lack of visual front non-visual detection positioning capacity are solved.

Methods and systems for providing context for alarms and resolving alarms using a virtual agent are described. Inputs including imaging, patient information, and aural, visual, and mechanical patient inputs are analyzed to provide context for an alarm. Based on the context, the methods and systems may identify a patient action that may resolve the alarm. A virtual agent may interact with the patient to identify and resolve the alarm without additional caregiver input.

The application discloses a kind of unified processing and alarm method of production field area personnel behavior monitoring data, it is related to industrial safety monitoring and information processing technical field, including acquisition production field area personnel behavior monitoring data, abnormal signal and behavior are classified and priority identification in layers, and alarm object and push path are determined in combination with business rules, responsible subject, equipment state and network condition.The stability and closed-loop management capability in the alarm transmission process are enhanced by load balancing, integrity check, encrypted transmission, abnormal retry, timeout monitoring and sequence check, so as to effectively improve the production field area personnel behavior monitoring data processing efficiency, abnormal behavior alarm response efficiency and overall safety management level.

The utility model relates to the technical field of coal transportation, and discloses a coal overflow and scattering detection alarm device, the end part of one side of a rotating support plate is connected with a connecting seat and is detachably connected with a baffle plate, and the edge part of a linkage shaft is connected with a trigger rotating rod at the position on the inner side of a back shell; a coal blocking microswitch is installed at the position, corresponding to the trigger rotating rod, in the back shell, and through the shaft seat, the rotating supporting plate, the baffle, the linkage shaft, the trigger rotating rod and the coal blocking microswitch, when the coal piling phenomenon occurs in the discharging hopper, the piled coal is used for driving the baffle to overturn upwards, the rotating supporting plate and the linkage shaft are driven to deflect synchronously, and the coal blocking phenomenon is avoided. The linkage shaft drives the triggering rotating rod to deflect, the triggering block at the end of the triggering rotating rod can make contact with the coal blocking microswitch to act, a coal blocking signal is sent to a central controller, alarm response is carried out, meanwhile, the belt conveying motor is closed, continuous coal conveying is stopped, the material blocking situation is detected and responded in time, and larger losses are prevented from being further caused.

Methods and systems for providing context for alarms and resolving alarms using a virtual agent are described. Inputs including imaging, patient information, and aural, visual, and mechanical patient inputs are analyzed to provide context for an alarm. Based on the context, the methods and systems may identify a patient action that may resolve the alarm. A virtual agent may interact with the patient to identify and resolve the alarm without additional caregiver input.

The application provides a fire-fighting alarm response system and method, comprising: in response to an alarm communication, extracting an alarm element based on a preset inquiry rule, and generating a pre-alarm work order including the alarm element; and processing the alarm element by using a preset determination model; specifically: constructing a fire alarm dialogue model with Transform as a basic architecture, regarding the alarm question and answer as a sequence generation question, reasoning the fire situation that should be inquired next in a self-recurrence manner according to the obtained fire situation, until the model considers that enough information has been obtained to judge the fire grade; the above steps are executed for multiple times, the understanding of the fire scene situation is gradually deepened, and the real-time fire grade evaluation is generated on this basis. The system deviation existing in the strategy learning method of the Markov decision process and reinforcement learning in the existing alarm automatic alarm response or type system is solved, and the defect that the response result deviates from the actual operator's behavior to a certain extent is solved.