371 results about "Alarm trigger" patented technology

The invention relates to the technical field of public safety and intelligent fire protection, in particular to a real-time processing method and system based on fire alarm data, and the method comprises the steps: environment steady state reconstruction: accessing non-fire environment dynamic parameters; presetting thermotechnical static parameters of the building space; constructing a space thermal inertia differential equation; generating an ideal reference baseline; knowledge-driven simulation: receiving the ideal reference baseline; calling a synthesis operator in a preset disaster interference knowledge base; executing dynamic superposition injection; generating a virtual sensor state flow which has physical characteristics and contains environmental background characteristics; homomorphic judgment: executing double difference calculation; obtaining a real residual feature vector; geometric homomorphism verification is executed; outputting fire alarm triggering, interference filtering or fault prompting instructions; according to the method, the problem of false alarm caused by non-stable fluctuation of the environment background in the background technology is solved, and dynamic fusion and scene adaptation of the standard signal model and the real environment background are realized.

The invention relates to the technical field of liquid level detection, in particular to a scrubber sewage tank water level detection system and method based on a liquid level sensor, and the system comprises a sensing data acquisition module, a liquid level signal conversion module, a multi-source numerical value comparison module, a liquid level fluctuation recognition module and an alarm action linkage module. According to the invention, through acquisition of a sensor capacitance change sequence, elimination of abnormal fluctuation, construction of a stable reference curve, enhancement of data immunity, mapping of a liquid level section based on an average capacitance value, accurate identification of liquid level elevation is realized, synchronous comparison of liquid level state information in various communication protocols is realized, and data consistency and reliability are improved. A liquid level fluctuation boundary is accumulatively recognized through trend direction change, a change section is dynamically marked, alarm triggering is based on boundary area and state mark double verification, warning response accuracy and effectiveness are enhanced, and a high-precision and high-stability liquid level detection and early warning system is constructed.

The invention relates to the technical field of medical monitoring, and discloses a novel infusion alarm and an infusion alarm system. The system comprises an infusion state monitoring module, an alarm decision module and an alarm execution module. A multi-source sensing unit of the infusion state monitoring module is distributed in a liquid level detection area, a drip chamber area and a patient contact area of an infusion tube assembly and collects optical refractive index, gravity change and real-time image data, and a data fusion unit performs heterogeneous signal fusion on the data to generate a multi-mode infusion state signal. A state analysis unit of the alarm decision module receives the signal and outputs a liquid level prediction signal and an infusion abnormal risk signal, and an alarm rule engine generates an alarm trigger threshold according to the signal. And a sound-light alarm unit of the alarm execution module responds to the threshold value to start a sound-light alarm sequence, a remote notification unit generates a graded alarm notification based on the abnormal risk signal, and a man-machine interaction interface outputs a comprehensive risk index.

The invention discloses a hydroelectric generating set fault early warning method, system and equipment based on a knowledge graph and a medium, and belongs to the technical field of hydroelectric generating set fault early warning, and the method comprises the steps: constructing a hydroelectric generating set knowledge graph database, and representing a set structure, operation information and a fault association relationship; collecting real-time operation data of the hydroelectric generating set, and performing data preprocessing; based on the knowledge graph and the collected data, path traversal and node matching are carried out by adopting a multi-modal reasoning mechanism fusing rule reasoning and case reasoning, potential abnormal parameters are identified, and a candidate fault hypothesis set is generated; and when the confidence coefficient of any fault hypothesis exceeds a set threshold value, outputting corresponding fault early warning information. According to the method, a fault hypothesis system is constructed by means of an existing fault propagation path in a knowledge graph and abnormal data captured by real-time monitoring, the confidence coefficient of fault hypothesis is accurately calculated based on the Bayesian network, and timely and accurate fault alarm triggering is achieved.

The invention relates to the technical field of state monitoring, in particular to an energy-saving air compressor running state monitoring system and method, and the system comprises a pressure slope analysis module, a deviation trend judgment module, an error fitting acquisition module, an error trend analysis module and an alarm triggering module. According to the method, a pressure range is calculated by dividing time slices, a slope ratio is generated, a dynamic threshold algorithm is combined to successively compare and capture an offset trend, frequency and current waveform data are synchronously acquired to match a timestamp to calculate a difference value, an error vector is generated in a standardized manner, and a periodic mean value is extracted to verify an incremental relationship to identify progressive anomaly. The cross validation slope ratio and error vector positioning wear or coordination abnormity, the dynamic threshold value is adjusted along with the mean value coefficient at the initial period to reduce fluctuation interference, the timestamp matching enhances the composite fault detection capability, and the range division operation quantifies the matching degree to provide an energy efficiency optimization basis. And a standardized error vector and mean value incremental mechanism improves the prediction precision and reduces false alarm and missing alarm.

The invention discloses a monitoring equipment fault rapid positioning method based on causal diagram reasoning, and the method comprises the following steps: building a thermal diffusion model composed of equipment nodes and links through collecting the topological structure and operation data of a monitoring system; normalizing and fusing the operation deviation information into a node abnormal energy value, and establishing an abnormal energy propagation equation; when an alarm is triggered, collecting an energy change sequence of each node to generate a space-time energy distribution matrix, and reversely solving a thermal diffusion equation to calculate a disturbance source item; performing clustering backtracking on disturbance source items, determining fault root cause nodes, and comprehensively evaluating confidence; and when multi-source abnormity exists, thermal field orthogonal decomposition is executed, and model parameters are adaptively updated according to field results. According to the method, abnormal propagation of monitoring equipment is modeled into a thermal diffusion process, and reverse solution and adaptive calibration are combined, so that rapid, explainable and high-precision positioning of fault root causes in a complex monitoring network is realized.

The invention discloses a millimeter-wave radar fusion system and method for electrocardiograph monitoring false alarm recognition, and the method comprises the steps: carrying out the multi-scale time-frequency feature extraction of a millimeter-wave radar signal and an electrocardiograph signal, obtaining a radar feature sequence and an electrocardiograph feature sequence, carrying out the time alignment of the radar feature sequence and the electrocardiograph feature sequence, and inputting a multi-modal fusion architecture; outputting cross-modal joint embedding features based on the multi-modal fusion architecture; a cross-modal consistency judgment model obtained based on self-supervised contrast learning optimization training is constructed, whether a cross-modal feature inconsistent state exists in the joint embedded features or not is judged, and if yes, it is judged that a potential false alarm event exists; and based on the potential false alarm event, extracting sequence feature fragments before and after alarm triggering in the joint embedded feature, inputting the sequence feature fragments into an anomaly classification network, outputting a final judgment result about whether false alarm is formed, and when the final judgment result is false alarm, generating an alarm adjustment instruction and sending the alarm adjustment instruction to a monitoring terminal.

The invention discloses an electrical equipment real-time alarm method based on multi-sensor data fusion, which belongs to the technical field of sensor control and comprises the following steps: acquiring multi-source sensor data of electrical equipment, identifying an initial abnormal signal and combining with a preset fault-sensor mapping table; activating a corresponding target sensor group to collect data, performing physical parameter calibration, generating a standardized sensing data set, executing space-time correlation feature extraction, and generating a cross-sensor feature vector; and processing the cross-sensor feature vector based on a conditional probability tree model, outputting a probability value set of each fault type, comparing the probability value set with a probability threshold, generating an alarm trigger signal according to a comparison result, verifying the alarm trigger signal, and generating a final alarm instruction. The fault-oriented dynamic sensor activation mechanism, the physical parameter calibration technology, the fault decision model based on the conditional probability tree and the reverse verification operation are adopted, accurate fault recognition and low-false-alarm-rate alarm can be achieved, and meanwhile the system energy efficiency ratio and the long-term diagnosis stability are improved.

The invention discloses a single-axis mechanical accelerometer and a measuring method, and relates to the technical field of accelerometer measuring equipment.The single-axis mechanical accelerometer comprises a base and a dome shell installed on the base, a first cavity is formed in the base, and an I-shaped balancing weight capable of axially sliding is installed in the first cavity; a first spring is mounted between the I-shaped balancing weight and the cavity bottom of the first cavity; a conical sleeve capable of sliding in the radial direction is installed in the dome shell, a transverse shaft is inserted into the conical sleeve in a penetrating mode, the two ends of the transverse shaft are fixedly connected to the inner wall of the dome shell, the transverse shaft is sleeved with a second spring, one end of the second spring is fixedly connected to the transverse shaft, and the other end of the second spring is fixedly connected with the conical sleeve. An alarm triggering module is installed on the dome shell, and through the synergistic effect of an I-shaped balancing weight-spring inertia system and a conical sleeve triggering mechanism, the acceleration detection and alarm functions of a pure mechanical structure are achieved.

The invention discloses a contact type alarm output device for a mechanical accelerometer, and relates to the technical field of accelerometers, the contact type alarm output device comprises a dome shell, and the dome shell is provided with a first cavity; the first contact, the second contact, the first alarm output lead and the second alarm output lead are inserted into the dome shell in a penetrating mode, the first alarm output lead is connected to the end, inserted into the outside of the dome shell, of the first contact, and the second alarm output lead is connected to the end, inserted into the outside of the dome shell, of the second contact. The second alarm output lead is connected to the end, penetrating into the outer portion of the dome shell, of the second contact, one end of the metal spring piece is fixedly connected to the first contact, the other end of the metal spring piece is in point contact with the second contact, and the metal spring piece and the second contact are in point contact design. And in combination with mechanical pushing of the conical sleeve, tight contact and reliable conduction during alarm triggering are ensured, and mistaken contact or poor contact caused by vibration or impact is avoided.

The invention relates to the technical field of intelligent security and protection, and discloses an intelligent security and protection alarm method and system based on an intelligent park. The method comprises the following steps: acquiring original security and protection data by using sensing equipment arranged in a smart park; performing standardization and redundancy elimination processing on the original security and protection data, dividing safety areas of the park through a pattern recognition algorithm, calculating a load intensity index of each area, and generating a security and protection situation summary; according to the security situation summary, a heuristic search algorithm is adopted to determine alarm trigger parameter initial values including detection sensitivity and alarm intervals, and a basic alarm parameter group is generated; performing nonlinear correction on the basic alarm parameter group, and outputting an environment perception alarm parameter group; training the historical security data set by adopting a neural network model, and analyzing the interaction between the load and the threat to obtain a threat diffusion model; and comparing the threat diffusion model with the real-time security data points, performing difference measurement, reconstructing alarm trigger logic according to a measurement result, and completing autonomous regulation and control of security and protection of the smart park.

The invention discloses an electrocardiogram waveform real-time anomaly detection and early warning evaluation method and system, and the method comprises the following steps: S1, collecting the signal data of an electrocardiogram, and carrying out the preprocessing; s2, inputting the electrocardiogram segment sequence into an improved convolutional neural network, and performing feature extraction and aggregation; s3, inputting the fusion feature sequence into a graph attention neural network, and extracting a relation between waveform local dependence and fragment state transition; s4, inputting the global feature map into an anomaly evaluation network, and outputting an anomaly judgment result and a confidence score sequence; s5, generating a risk level tag sequence in combination with the individual parameters; s6, inputting the risk level label sequence into an early warning decision network, and generating a multi-level response label and an alarm trigger signal; and S7, controlling an early warning interface to execute alarm, and synchronously writing related data. According to the invention, real-time anomaly detection and multi-stage early warning response of the electrocardiogram waveform are realized, and the timeliness and reliability of abnormal heart rhythm recognition are improved.

Systems, methods and apparatus for automatic alarm management in a radio-frequency (RF) environment are disclosed. An apparatus calculates a power distribution by frequency of the RF environment in real time or near real time, including a first derivative and a second derivative of FFT data of the RF environment. The apparatus then creates a baseline based on the power distribution by frequency of the RF environment in a period of time, identifies at least one alarm situation based on a multiplicity of alarm triggering conditions by comparing the power distribution in real time or near real time to the baseline of the RF environment, identifies at least one signal based on the first derivative and the second derivative of FFT data in the at least one alarm situation, and sends at least one alarm comprising details of the at least one signal identified in the at least one alarm situation.

The invention belongs to the technical field of foreign matter detection and alarm, and discloses a vehicle-mounted multi-sensor fusion runway FOD detection and alarm device. Comprising a data acquisition module for acquiring radar data, visual data and infrared data, and performing space-time synchronization and coordinate calibration to obtain synchronous data; the feature analysis module is used for analyzing the synchronous data to obtain radar features, visual features and infrared features; the analysis and complementation module is used for detecting the radar features, the visual features and the infrared features to obtain combined features, and performing shielding detection and feature complementation on the combined features to obtain complemented features; constructing an FOD dynamic feature tree; the positioning alarm module is used for analyzing the FOD dynamic feature tree and making an FOD alarm decision according to an alarm triggering condition; according to the method, accurate detection and reliable alarm of the runway FOD are realized, the accuracy, robustness and practicability of FOD detection in a complex scene are remarkably improved, and the runway FOD safety management and control requirements in a vehicle-mounted scene are effectively met.

The invention relates to the technical field of medical monitoring, and discloses an intelligent monitoring device for a blood return end of hemodialysis, the device is in communication connection with a dialyzer for hemodialysis, and the device comprises an alarm trigger module, a temperature compensation module and a screen display module. According to the application, the alarm triggering module accurately monitors the blood return temperature, the blood return flow velocity and the induced blood flow velocity, captures abnormity in real time and triggers alarm; the temperature compensation module not only guarantees life safety of the patient, but also improves temperature control adaptability; the screen display module displays core parameters and trend curves in real time, space limitation is broken through, and medical workers are assisted in remote quick response; the portability of the device is realized by the micro clamping and fixing module; the clinical flexibility is enhanced through threshold adjustment; the power-on self-test further ensures the operation safety of the equipment; therefore, full-process optimization from data monitoring, intelligent control to remote monitoring is realized, and accurate, safe and personalized dialysis support is provided for patients.

The invention relates to the technical field of visual information integration supervision, and particularly discloses a building security-oriented visual information integration supervision system, which comprises a data acquisition module, an exception filtering module, a risk assessment engine module, an alarm triggering module, a visual rendering module, a response execution module and a closed-loop feedback module. According to the method, accurate risk management and control are realized through multi-source data fusion and dynamic analysis, data such as videos, heat values and gas concentrations are acquired, a clean risk feature packet is generated through abnormal filtering, a thermal diffusion trend and an outlet blockage risk degree are predicted by using a thermal conduction model and a building model, and a dynamic safety score is generated through normalization processing. The system automatically triggers multi-level alarms, renders an interactive monitoring graph in combination with a three-dimensional model, optimizes an evacuation path and generates a rescue report, and finally drives equipment response through closed-loop feedback; the security response efficiency and the resource allocation accuracy are improved, and the accident risk of high-rise and closed buildings is reduced.

The invention provides a Beidou geological disaster displacement and image video monitoring fusion method and system based on a high-reliability communication link, and the method comprises the steps: collecting displacement, inclination angle and five-way high-definition video in real time, accessing microclimate and wire clamp temperature data, and carrying out the unified packaging through a data gateway; aPN special line transmission is adopted, and centimeter-level RTK differential service is provided for the unmanned aerial vehicle; based on a Beidou VRS virtual reference station and a long baseline monitoring resolving technology, a Beidou ground-based enhanced station network is multiplexed, and a virtual observation value is generated for real-time dynamic RTK resolving; inverting a three-dimensional water vapor field based on oblique path troposphere delay PWV, realizing tower-level rainfall prediction, and generating a risk assessment report by fusing an A I algorithm; superposing a displacement thermodynamic diagram, a real-time video and an early warning label in a BIM + GI digital twinning scene, and supporting 360-degree panoramic stitching and alarm trigger snapshot; and carrying out intelligent early warning decision. According to the invention, through high-precision Beidou monitoring, multi-modal data fusion and intelligent early warning, the real-time performance, precision and automation level of geological disaster monitoring are significantly improved.

The invention relates to the technical field of air quality monitoring, and provides an air quality sensor based on the Internet of Things and a remote control method thereof, and the air quality sensor comprises a multi-source heterogeneous sensing fusion system, a time-space domain edge gateway system and a dynamic response collaborative central system. The remote control method comprises the steps that a purification device linkage control matrix is processed through a heterogeneous instruction fusion technology to obtain a space optimization control vector set, and the space optimization control vector set forms a man-machine interaction entropy value mechanism; the man-machine interaction entropy value model is processed through an entropy weight dynamic distribution strategy to obtain a space state sensing vector, and the space state sensing vector forms a cross-medium alarm triggering channel; the cross-medium alarm trigger channel is processed by the bidirectional response coupling engine to obtain an equipment state feature topology, and the equipment state feature topology forms a closed-loop control entropy correction instruction. According to the invention, pollution of a physical space is dynamically converted into operable equipment control parameters, and a complete Internet of Things closed-loop system from environment monitoring to purification execution is established.

According to the intelligent operation monitoring system based on multi-source sensing, through cooperative work of the sensing terminal, the positioning base station, the intelligent video monitoring device and the back-end control system, combined monitoring of the operation environment, the personnel state and behavior violation is achieved. The system realizes indoor and outdoor seamless positioning through cooperation of UWB positioning and GPS positioning, and constructs a multi-dimensional security monitoring network in combination with environment sensor data and a video behavior recognition result. Through automatic processing of the alarm module and the video linkage module, rapid response of alarm triggering and video linkage is realized. The system supports historical data backtracking analysis to generate an operation risk thermodynamic diagram, and provides data support for safety management. The system improves the real-time performance and accuracy of operation safety monitoring, reduces the manual inspection cost, improves the emergency response efficiency, achieves the precise early warning of safety risks through multi-source data fusion, and improves the scientificity and refinement level of operation safety management.

The invention discloses a WEB application availability alarm linkage verification method, system and device, and relates to the technical field of WEB application availability alarm verification, and the method comprises the following steps: obtaining account data of a service system, pushing the account data to a performance dial test system through an interface, and obtaining a unique identification code of the service system through Hash processing based on the account data of the service system; when the system availability abnormity is triggered, the availability abnormity prediction model is driven based on the unique identification code; performing judgment, optimally selecting a response optimal path based on an improved Dijkstra algorithm according to a judgment result, and sending an availability detection instruction to the front acquisition equipment; obtaining feedback data after detection is completed, combining the output of the availability exception prediction model, constructing a consistency verification matrix, carrying out fusion judgment, and constructing a dynamic alarm triggering strategy; according to the method, a dynamic alarm triggering strategy is formed through unified identification, multi-source prediction verification and a topology perception path scheduling mechanism, and the accuracy and the real-time performance of Web application availability alarm are remarkably improved.

The invention discloses a welding seam change detection device and method for a steel structure in a building, and relates to the technical field of building steel structure welding seam detection.The welding seam change detection device comprises a protective shell, a sensing module, a data processing module and an alarm module are arranged in the protective shell, and a mounting unit is further arranged at the bottom of the protective shell; the method further comprises the steps of S1 pretreatment of a weld joint detection area, S2 device positioning and installation, S3 system initialization and parameter configuration, S4 weld joint deformation signal collection, S5 signal processing and transmission, S6 anomaly analysis and alarm triggering and S7 continuous monitoring. According to the invention, the array-type magnetoelastic sensing unit is combined with the AD conversion chip unit and the signal amplification unit, so that high-resolution acquisition of microvolt-level signals is realized, and tiny deformation in transverse, longitudinal and shearing directions can be captured; meanwhile, through signal amplification in the step S3, the step S4 and the step S5, the early recognition capability of the tiny defects of the welding seam is remarkably improved, the sensitivity reaches 5 mu epsilon, and 0.1 mm-level microcracks can be accurately recognized.

The invention relates to a broadcast audio quality discrimination method and device, and belongs to the technical field of broadcast audio monitoring, and the discrimination method comprises the steps: receiving and preprocessing a broadcast audio signal stream, and outputting a framed signal sequence; extracting multi-dimensional features of the framed signal sequence in parallel, and generating a multi-dimensional feature set comprising a signal strength feature, an interference feature, a noise feature and a propagation disturbance feature; performing dynamic weighted fusion calculation based on the multi-dimensional feature set to generate a comprehensive audibility score; performing quality discrimination and root cause positioning according to the comprehensive audibility score and the multi-dimensional feature set, and outputting a quality grade and a fault type identifier; and when the quality grade is lower than a preset grade threshold value or the multi-dimensional feature set satisfies an alarm triggering condition, generating real-time alarm information and visual data. According to the invention, accurate evaluation and accurate traceability of the broadcast audio quality are realized.

The invention provides a cable fault accurate monitoring method, and belongs to the technical field of cable fault monitoring, and the method comprises the following steps: 1, arranging a sensor on the surface of a cable, and carrying out the data collection, 2, carrying out the preprocessing and feature extraction of a collected signal, 3, carrying out the recognition and positioning of a cable fault, and 4, carrying out the recognition and positioning of the cable fault. And step 4, realizing dynamic updating by using edge computing and cloud collaboration. Through multi-modal sensor fusion and intelligent algorithm optimization, a fault positioning error is controlled to be smaller than or equal to 1.8 m in an onshore scene and smaller than or equal to 10 m in a seabed scene, millisecond-level fault recognition and positioning are achieved, the time from fault occurrence to alarm triggering is smaller than or equal to 5 seconds, and the time is more than 100 times faster than that of a traditional method; the false alarm rate is reduced from 87% of a traditional method to less than or equal to 2%, through accurate monitoring and positioning, the manual inspection and troubleshooting time is reduced, and the operation and maintenance cost is reduced by about 40%.

The invention provides a wireless electronic personal dosimeter capable of dynamically adjusting an alarm threshold value and a control method, and relates to the technical field of radiation monitoring. Comprising a detection module used for collecting historical dose data of a user and constructing a personal dose management library. And the wireless communication module is used for extracting accumulated dose data. And the man-machine interaction module is used for setting a fixed alarm threshold value, setting a personalized alarm threshold value according to the real-time accumulated dose and the accumulated dose data, comparing the fixed alarm threshold value with the personalized alarm threshold value in real time, and selecting a lower value as a real-time alarm triggering standard. And the alarming and updating module is used for judging whether the current dose of the user exceeds a real-time alarming triggering standard, if so, alarming, and uploading the current dose to the personal dose management library for updating. According to the invention, through setting the personalized alarm threshold value, the personal dose accumulation risk can be effectively reduced, the personnel in a low-dose environment for a long time can be more effectively protected, and personalized and precise management of radiation protection is realized.

The utility model relates to an electric control cabinet intelligent safety alarm device, which comprises an electric control cabinet main body, an ultrasonic ranging module, an alarm module and a communication module, and is characterized in that the ultrasonic ranging module measures the time difference of transmitting and receiving ultrasonic waves to determine the actual distance between an obstacle and the electric control cabinet main body, so that non-contact ranging is realized; the timeliness of alarm triggering is ensured, and accurate measurement can be carried out even in a severe environment full of dust, smog or corrosive substances and the like; the multi-mode alarm module and the ultrasonic ranging module are combined for use, multi-mode alarm is carried out when the ultrasonic ranging module triggers the alarm function, a multi-level verification and confirmation mechanism is realized, the possibility of false alarm is reduced, diversified alarm signals are provided, and the alarm can be carried out even in a noisy or poor-sight environment. Normal receiving of alarm information can also be ensured; by means of the communication module, the intelligent safety alarm device of the electric control cabinet has remote monitoring and management functions, and the quick response capability is remarkably enhanced.

The present invention relates to a wearable safety device 99 comprising: a device body 1 adapted to be secured to a user; a local alert system comprising at least one light source 65 and an audible alarm 35; an electronic control unit 51 comprising an alarm trigger and being configured to control the local alert system, wherein the electronic control unit is configured to continuously or repeatedly activate the light source to provide a visual alert, and wherein the electronic control unit is configured, upon actuation of the alarm trigger, to activate the audible alarm. The present invention also relates to a system comprising: a wearable safety device as aforementioned; and a software application for a user device, preferably a smartphone, wherein the software application is configured to broadcast an alert signal: based on a comparison between a planned route input by a user to the software application and data relating to the location of the user device; and / or upon actuation of the alarm trigger.

Systems and methods for analyzing alarms to characterize electrical system issues are disclosed herein. In one aspect, a method for analyzing alarms to characterize electrical system issues includes processing electrical measurement data from or derived from energy-related signals captured or derived by at least one intelligent electronic device in the electrical system to identify events in the electrical system, and alarms triggered in response to the identified events. Information related to at least the identified events and / or the identified alarms may be aggregated, and the aggregated information may be analyzed to determine issue(s) associated with the electrical system, and origin(s), source(s), cause(s), transitions / evolutions and / or interrelationship(s) of the issue(s).

The invention discloses a thermal management system fault processing method, a thermal management system fault processing device and a related product. And under the condition that the fault alarm signal is monitored, fault information corresponding to the fault alarm signal is input to the influence evaluation model. The influence evaluation model can carry out objective, automatic and standardized influence grade evaluation on a fault from three dimensions of a refrigeration / heating function of the thermal management system, acquisition of parameters of a preset type and a preset safety alarm triggering condition, and finally obtains an influence grade and executes a control strategy corresponding to the influence grade. And a closed-loop automatic process from fault monitoring to grade judgment to strategy execution is formed. And through refined grading and differentiated fault-tolerant strategies, the functions of the thermal management system can be maintained to the maximum extent on the premise of safe operation of the thermal management system so as to improve the availability of the thermal management system. And meanwhile, the method can be popularized and applied only by defining the influence of each fault on three dimensions according to requirements, has high universality and is suitable for various thermal management systems.

The invention relates to the technical field of network security, in particular to a network security threat real-time analysis method and system based on a multi-source log, and the method comprises the following steps: based on a firewall log, completing the verification of a source IP and a time reference, unifying a field format to form an alignment sequence, dividing a time window according to the source IP, and generating an abnormal behavior track according to the cross-window change. And combining the port path and the authentication result to identify a conflict record to form an alarm triggering record. According to the method, a cross-log alignment frame is established through a unified field structure and a time reference, scattered records are converted into a data sequence capable of being continuously associated, a behavior track link is established around continuous window changes, abnormal judgment is changed from fragment recognition to process recognition, and a conflict evidence set is formed by relying on consistency verification of a port path and authentication information; and alarm generation has a centralized basis and a hierarchical judgment basis, so that the continuity and judgment definition of threat identification are improved.

The invention discloses a virtual technology medical linear accelerator maintenance process method, and relates to the technical field of linear accelerator maintenance, and the method comprises field equipment control: the field equipment control is connected with linear accelerator hardware, and the method is provided with a field maintenance terminal, a remote maintenance platform, an expert cooperation module and a fault knowledge graph database; a perfect maintenance process system is constructed, the maintenance process is managed through process and safety control, the operation safety is ensured, remote expert interaction authentication, key parameter transmission and abnormal alarm triggering are realized through expert access, the overall maintenance decision speed is increased, multi-brand equipment access is supported, the use range and scene are expanded, and the maintenance efficiency is improved. And meanwhile, the annual operation and maintenance cost of the equipment is reduced, the cost is effectively controlled, maintenance process data and corresponding analysis results are managed, visualized and stored, maintenance process management can be realized through cloud management and control of the Internet of Things, and the intelligent level of maintenance process management is improved.