1366 results about "Fire protection" patented technology

The invention discloses an end-side cloud collaborative intelligent fire-fighting fire monitoring system based on image fusion, and relates to the technical field of intelligent fire-fighting, the system is composed of a plurality of functional modules, and the system comprises a multi-modal image fusion module which generates a dynamic scanning priority map based on prior data, distinguishes a natural heat source from an abnormal fire by using a dual-light fusion algorithm, and sends an image fusion result to a cloud server; a scanning area is divided according to the thermal risk grade, and the thermal imaging resolution is dynamically adjusted; the distributed edge computing module is used for carrying out space-time synchronization on cross-modal data through a multi-modal feature alignment network, and carrying out dynamic allocation on a CUDA core and CPU resources through adaptive computing scheduling; an improved artificial bee colony algorithm is adopted, the bandwidth of the multi-sensor data flow is dynamically allocated through a time-sharing multiplexing protocol, and three-dimensional path planning is carried out; and the end-side cloud collaborative decision module constructs a federated learning driven model sharing network, and each edge node trains a lightweight YOLOv5s pruning model based on local data.

The invention relates to the technical field of transformer substation intelligent management, in particular to a modular prefabricated cabin transformer substation intelligent comprehensive management system with a multi-source data integration and collaborative management function. Comprising a multi-source data acquisition unit; the edge intelligent processing unit is used for carrying out local preprocessing, feature extraction and abnormal early warning on the acquired multi-source heterogeneous data of the transformer substation, and realizing data noise reduction, abnormal recognition and equipment health degree evaluation through a lightweight AI algorithm and a hybrid communication protocol carried by the edge computing terminal module; and a data integration collaboration unit. According to the invention, through an adaptive sampling strategy and a multi-modal feature fusion mechanism of the multi-source data acquisition unit, multi-dimensional data such as electric power parameters, power environment, fire protection and security protection and the like are incorporated into a monitoring system, feature layer association analysis is realized by depending on a Jousseme distance and a Dempster synthesis rule, the assessment limitation of single equipment and single-dimensional data in a traditional scheme is broken through, and the method has the advantages of high reliability and high reliability. And a more comprehensive state basis is provided for equipment health degree research and judgment.

The invention relates to the technical field of fire safety, in particular to an intelligent fire-fighting electrical fire monitoring method, device and equipment and a medium, and the method comprises the steps: obtaining electrical parameters; according to the electrical parameters, a fire hazard identification model is established by using an LSTM algorithm and a CNN algorithm, the operation state of the electrical equipment is predicted according to the fire hazard identification model, an operation state trend prediction result is obtained, and a potential fire hazard type is identified; according to a fire hazard type identification result, in combination with a use environment of electrical equipment and a threshold determination algorithm, performing quantitative evaluation on a fire hazard risk to obtain a corresponding risk level, and when the risk level exceeds a set multi-layer threshold, automatically starting a linkage control mechanism; therefore, the problems of response lagging, high labor cost, high intermittent fault omission ratio and the like in the prior art are solved.

The invention discloses a gradient welding strength control method and system for a welded galvanized steel pipe for fire fighting, particularly relates to the technical field of welding automation control, and aims to solve the problem of abnormal welding seam strength gradient caused by instantaneous unbalance of an electric field and a thermal field during dynamic parameter switching in the prior art. Electromagnetic distortion characteristic quantity is extracted through frequency domain energy analysis, and thermodynamic offset state quantity is deduced in combination with a thermal diffusion trend; on the basis of frequency band correlation mapping of electromagnetic and thermodynamic parameters, thermoelectric cooperative imbalance levels are divided through mutual information entropy evolution, and a self-adaptive harmonic attenuation weight tuning instruction is generated; analyzing a mismatching relation between transient disturbance of an environment magnetic field and arc voltage modulation distortion in real time, dynamically generating a magnetic field compensation factor and reversely superposing the magnetic field compensation factor to a control instruction; and in combination with the matching degree of molten pool oscillation energy and a harmonic frequency spectrum, correcting wire feeding rate calibration, reconstructing a multi-band harmonic energy proportion spectrum, outputting an anti-interference welding control signal, and realizing dynamic balance between arc stability and molten pool heat input.

The invention discloses a multistage fire-fighting and intelligent heat management combined system and method for an energy storage system, a battery cluster is provided with a single fire extinguishing nozzle, a composite detector monitors the state of the battery cluster in real time, and when any battery cluster meets a spraying condition, the fire extinguishing nozzle is triggered to spray a fire extinguishing material; the internal state of the energy storage cabin is monitored in real time through a composite detector, and when the interior of the energy storage cabin meets the spraying condition, a spraying nozzle is automatically started to continuously spray for preset spraying time; according to the centralized liquid cooling unit, a dual-redundancy compressor is combined with an ethylene glycol aqueous solution circulating system to conduct dynamic flow regulation and control, the opening degree of an electromagnetic valve of the dual-redundancy compressor is dynamically adjusted through a composite detector, and the internal temperature of an energy storage cabin is controlled; dynamically distributing flow according to the energy storage time period by adopting an intelligent temperature control algorithm; after the multi-stage fire-fighting module acts, the centralized liquid cooling unit is started for cooling; when the temperature detected by the composite detector exceeds a high-temperature threshold value, the fan is started for air replacement, and the multi-stage fire-fighting module is triggered to act.

The invention relates to the technical field of intelligent fire fighting, in particular to a building electrical fire identification method and system based on multi-source information fusion, and the method comprises the steps: firstly collecting the multi-source monitoring data of an electrical system in real time, then carrying out the preprocessing of the multi-source data, including noise filtering, time alignment and feature extraction, and constructing a dynamic weight fusion model; the weight of each data source is adaptively allocated based on the feature entropy, then fusion features are input to the fire risk grading model, a fire probability index and an early warning level are output, and when the early warning level exceeds a threshold value, a linkage control instruction is triggered and an alarm is given; according to the method, through dynamic fusion of multi-source information, the electrical fire identification precision is remarkably improved, multi-dimensional parameters such as current, temperature, smoke and arc are adaptively integrated by adopting an entropy weight assignment mechanism, the problems of false alarm and missing alarm of traditional single-threshold detection are solved, the missing alarm rate and the false alarm rate are remarkably reduced, and the reliability of fire early warning is ensured.

The invention relates to the technical field of fire protection and security, in particular to a security and disinfection integrated multi-modal fusion embedded edge calculation method and system, and provides a security and disinfection integrated multi-modal fusion embedded edge calculation method which comprises the following steps: constructing a data set; the AI visual recognition model uses an improved YOLOv8 model to train a data set and execute target detection, meanwhile, an optical flow method is adopted to extract motion features of flames or smog in continuous key frame images in a monitoring video, and a spreading prediction model is established to send out an early warning signal in advance; and the fusion processing module establishes a dynamic threshold adjustment model based on the environmental parameters to optimize an early warning trigger threshold, and transmits the early warning trigger threshold to the fire-fighting linkage control module to verify and trigger fire-fighting linkage operation. AI intelligent analysis and fire-fighting linkage disposal of fire hazards are realized, false alarm of early warning information is effectively prevented, the discovery and disposal efficiency of the fire hazards is improved, and the fire hazards are eliminated in the bud.

The invention discloses an intelligent fire evacuation system and method based on dynamic environment perception, and relates to the technical field of fire fighting and safety protection, and the method comprises the steps: collecting real-time data in a fire scene; dividing the evacuation area into a plurality of grid units by using a two-dimensional rasterization technology to form a real-time updated environment map; in combination with dynamic modeling data, an optimal evacuation path is generated by using an improved path planning algorithm; an evacuation path is transmitted to trapped people in real time in a visual and auditory mode, and the visual and auditory mode comprises the use of a dynamic indicator lamp, a marker lamp, an electronic screen and a voice broadcast system; the guidance content is adjusted in combination with real-time data, and the evacuation efficiency is optimized; fire fighting equipment is linked, and the evacuation path environment is optimized; and the evacuation state is monitored through a dynamic data feedback mechanism. According to the invention, an evacuation path is calculated and updated in real time by integrating a sensor network, fire scene dynamic modeling and an intelligent path planning algorithm, and a safe and efficient evacuation scheme is provided for trapped people in a fire.

The invention relates to the technical field of fire-fighting facility detection, in particular to a fire-fighting pump room anti-freezing and moisture-proof system, which comprises a data acquisition module, a data processing module, a data processing module and a data processing module, and is characterized in that the data acquisition module is used for acquiring pump room environment parameters, outdoor environment parameters and indoor facility surface temperature parameters; the data processing module is used for preprocessing the pump room environment parameters, the outdoor environment parameters and the indoor facility surface temperature; the control decision module comprises an abnormity early warning unit which is used for calculating a freezing risk index and a moisture-proof risk threshold temperature, judging whether anti-freezing early warning or moisture-proof early warning exists or not and outputting an early warning result; and the automatic control unit is used for regulating and controlling the operation state of related equipment in the pump room according to the early warning result. According to the invention, through intelligent monitoring and dynamic adjustment of environment temperature and humidity and equipment surface temperature in the fire-fighting pump room, equipment in the fire-fighting pump room is effectively prevented from being damaged by freezing and humid environment.

The invention discloses a fire pump station water supply regulation control system and method based on artificial intelligence, and the system comprises an obtaining module which is used for obtaining the real-time water supply parameters and environment state information of a fire pump station; the strategy generation module is used for generating an optimal water supply adjustment strategy based on a pre-trained artificial intelligence model according to the real-time water supply parameters and the environment state information; and the control module is used for executing the optimal water supply adjustment strategy to realize intelligent adjustment control of water supply of the fire pump station. The operation efficiency of the fire pump station can be greatly improved, the operation cost is reduced, the reliability and safety of the fire pump station are ensured, and therefore a more stable and efficient guarantee is provided for a fire fighting system.

The present disclosure introduces an automated system designed for detecting and rectifying clashes in 3-dimensional (3D) mechanical, electrical, plumbing and fire protection (MEPF) service models. Comprising a computing device, the system receives a 3D model of a building project and various MEPF service models, including but not limited to HVAC, electrical, plumbing and fire protection services. An interconnected remote server, equipped with a non-transitory storage device, retains executable routines, a rule database with MEPF identifiers tied to specific rules and hierarchies, and a construction history database featuring 3D building templates depicting both clashed and resolved MEPF integrations. The central control unit retrieves the 3D models, constructs an AI model influenced by past construction data, and identifies clashes when overlaying the MEPF models on 3D depiction of the building. Post detection, the control unit employs AI-derived strategies to produce clash-free 3D models, which are subsequently displayed on the computing device.

The invention discloses a power distribution fire-fighting information management method and system based on the Internet of Things, and relates to the technical field of power distribution fire-fighting information management, and the method specifically comprises the following steps: analyzing the obtained transmission delay information of a current sensor, and generating a data integrity coefficient and a load disturbance index; and constructing a delay influence prediction model based on the generated data integrity coefficient and the load disturbance index, generating a delay prediction coefficient, carrying out analysis after generation, and predicting the influence degree of the delay of the current sensor data on the fault early warning of the power distribution equipment under the high-load operation condition. The influence degree is divided into a low influence degree, a medium influence degree and a high influence degree according to the prediction result; and implementing corresponding management measures for different influence degrees according to a prediction result. According to the method, the problem of inaccurate fault early warning caused by data delay of the current sensor under the condition of high-load operation is solved, the delay influence is accurately predicted, and a data acquisition and management strategy is dynamically optimized.

Fire protection systems and methods having piping interconnections for connecting a fire protection device to a fluid source. The piping interconnections include a branch connector connected to a pipe header. The branch connector includes a tubular member and an internal annular seal member housed in an internal gasket chamber of the tubular member. The tubular member includes an internal stepless surface between a terminal end of the tubular member and the internal gasket chamber.

The invention discloses a deep defense protection method for a charging station, relates to the technical field of fire early warning and safety protection, and aims to solve the problems of high false alarm rate of fire early warning, delayed fire isolation and insufficient credibility of accident traceability data in the prior art. According to the method, a monitoring-disposal-traceability complete-cycle protection system is constructed, a temperature field, electrical parameters and environmental data are collected in a fusion mode through a multi-source sensor before a disaster, a self-adaptive safety threshold value is generated based on a dynamic game model, and a risk path is pre-judged in combination with digital twinborn deduction; a three-level response mechanism is adopted in the disaster; after the disaster, operation logs are stored in a fragmented mode through the block chain space-time anchoring technology, an accident evolution chain is reversely reconstructed through digital twinning, and tamper-resistant judicial evidence is generated. The early warning precision is improved through dynamic threshold optimization, the response time is shortened through multi-stage linkage control, the traceability credibility is guaranteed through the quantum evidence storage technology, and a closed-loop optimization system for charging station fire protection is formed.

The invention provides an intelligent fire-fighting method and system for a photovoltaic power station based on the Internet of Things, and the method comprises the steps: collecting temperature data through a distributed optical fiber temperature measurement unit, avoiding electromagnetic interference through optical signal conversion, analyzing the spectral feature difference between electro-arc light and combustion flame through a spectral feature separation unit, and carrying out the analysis of the spectral feature difference. Correlating the particulate matter concentration with the specific gas component through the multi-source coupling smoke sensing unit to obtain anti-interference data; space-time probability fusion is executed, and fire confidence is generated through alignment; a trigger response is calculated according to the combination of the fire confidence coefficient, the temperature rise trend slope and the smoke diffusion speed; running a self-adaptive parameter adjustment engine, and generating a sensing layer calibration coefficient and a decision rule optimization instruction; the parameter optimization instruction is issued to the sensing device, the calibration effect is verified, the influence of dust, electromagnetic interference and other factors is effectively avoided through the collected anti-interference data, the response is determined in combination with temperature rise and delay diffusion, the probability of false triggering is effectively reduced, and the accuracy of fire detection is improved.

The invention relates to the technical field of pressure release valves, in particular to a fire-fighting pipeline linear adjusting pressure release valve and a method, the fire-fighting pipeline linear adjusting pressure release valve comprises a first valve body, and further comprises a third valve body, a second valve body, a third valve core assembly, a second valve core assembly and a third valve core assembly, the second valve body is fixedly connected to the top of the third valve body, and a second valve element assembly is connected to the interior of the second valve body; and the pressure regulating mechanism comprises a pressure assembly communicating with the water outlet end of the first valve body, and the top of the second valve body is connected with an elastic assembly. By arranging the pressure adjusting mechanism, a traditional single spring adjusting mode is broken through, the water pressure in the sealing cover and the mechanical pressure of the adjusting screw rod and the first spring are superposed to form a composite pressure relief threshold value, and a method for linearly and finely adjusting the pressure relief threshold value is added; incompressibility of a water medium is utilized, instantaneous pressure fluctuation is absorbed, fatigue failure of the spring under high-frequency impact is effectively avoided, and the device is suitable for starting and stopping of a fire pump or scenes where water hammers frequently occur.

A premises system may select a sensor of a fire protection subsystem. A premises system may select one or more elements of the one or more other subsystems. A premises system may collect data across the selected sensors and selected elements for a period of time. A premises system may analyze the collected data for correlation among the selected sensors and selected elements.

The invention discloses a building fire-fighting automatic verification and evacuation path verification system based on a rule engine, and relates to the technical field of building fire-fighting intellectualization. Comprising the steps that a rule generation module analyzes a fire-fighting standard text and generates an executable rule set; the model analysis module is used for extracting component attributes and a spatial topological relation from the building information model; the real-time sensing module collects environment state data. The rule engine module matches the component attributes with the executable rule set to generate a first verification result; spatial topology and real-time sensing data are fused, the dynamic passing weight of each path segment is calculated, and an evacuation path network model is constructed. The path verification module verifies the safety of a path from a preset point to an exit based on the model, and generates a path verification result. And the result generation module outputs fire-fighting compliance data. According to the invention, through the dynamic optimal evacuation path planning from the static fire-fighting standard examination of the building design to the occurrence of the disaster, the guarantee capability and the emergency response efficiency of the building fire-fighting safety are improved.

The invention provides a power distribution box line protection device facilitating later maintenance and a fire protection method, and relates to the technical field of power distribution boxes. The power distribution box line protection device comprises a power distribution box body, a protection gate plate, a lifting assembly and a fireproof bag assembly; a wiring board is arranged in the distribution box body; heat dissipation windows are arranged on two side plates and a back plate of the power distribution box body; the protective flashboard is arranged on the outer side of the power distribution box body in a lifting manner; the wiring plate is supported on a rotary hanging plate in the distribution box body through a fixed hanging plate; the fireproof bag assembly comprises a lifting frame body and a fireproof bag, and the lifting assembly comprises a lifting driving mechanism and two vertically-arranged lifting screws. The power distribution box line protection device has the beneficial effects that the power distribution box line protection device can close the heat dissipation window of the power distribution box through the protection gate plate in the first time after a fire occurs, meanwhile, the fireproof bag can be used for isolating a fire component, and the fire component is subjected to closed and buried fire extinguishment in combination with the jet fire extinguisher, so that the fire extinguishment success rate is increased, and the fire time is shortened; the fire loss is reduced.

A system for forming and maintaining GPS tracked and mapped environmentally-clean chemical-based fire protection zones formed over property and ground surfaces in and about a neighborhood of homes, that proactively inhibit fire ignition and flame spread when exposed to wild fire. The system includes a GPS-tracking anti-fire (AF) liquid spraying system wirelessly connected to a wireless communication network supporting a network database. The GPS-tracked anti-fire liquid spraying system is used to spray particular GPS-specified ground surfaces in and about the neighborhood, with an environmentally-clean anti-fire chemical liquid so to form environmentally-clean chemical fire protection zones over the GPS-specified property surfaces, while generating GPS-coordinate and time / date stamped data records pertaining to the application of the environmentally-clean anti-fire chemical liquid spray during the formation of the environmentally-clean chemical fire protection zones. The GPS-coordinate and time / date stamped data records are transmitted over the wireless communication network for storage in the network database. A mobile computing system is used to access the GPS-coordinate and time / date stamped data records from the network database, relating to the formation of the GPS-specified environmentally-clean chemical fire protection zones, so as to verify that the GPS-specified environmentally-clean chemical fire protection zones were formed at the GPS-specified property surfaces on the particular date, to proactively inhibit fire ignition and flame spread when exposed to wild fire.

The invention relates to the technical field of intelligent fire-extinguishing water taking bolts, and discloses an intelligent fire-extinguishing water taking bolt remote locking system and method. The system comprises a state monitoring module, an abnormity identification module, a risk assessment module, a dynamic locking module and a hierarchical execution module. The state monitoring module collects real-time working state data of the water taking hydrant through a multi-source sensing device, the anomaly recognition module generates an anomaly probability distribution diagram based on a random forest algorithm, and the risk assessment module outputs a safety risk level and a locking priority sequence through a space-time correlation model. The dynamic locking module constructs a multi-constraint optimization model and adopts a chaos particle swarm algorithm for optimization, and the hierarchical execution module realizes distributed execution of locking instructions through a hierarchical communication architecture. According to the system, the state of the water taking hydrant can be monitored in real time, abnormity can be accurately recognized, risks can be scientifically evaluated, remote intelligent locking is achieved, the urban fire protection and water supply guarantee capacity is improved, and smart city construction is promoted.

The embodiment of the invention provides a converter station fire-fighting digital management and control system, and the system comprises a converter station data processing module, a fire-fighting daily management module, and a fire-fighting emergency processing module, and the converter station data processing module is used for obtaining the fire-fighting internet-of-things data of a converter station, and transmitting the fire-fighting internet-of-things data to the fire-fighting daily management module. Performing abnormal data detection on the acquired fire-fighting internet-of-things data by using an abnormal data detection model; the fire-fighting daily management module is used for performing fire-fighting daily management on the converter station according to the fire-fighting internet-of-things data of the converter station; and the fire-fighting emergency processing module is used for determining the converter station with a dangerous case or a dangerous case trend according to at least one of the fire-fighting internet-of-things data of the converter station and the management result of the fire-fighting daily management module, and performing fire-fighting emergency processing on the converter station with the dangerous case or the dangerous case trend. Therefore, the digital fire-fighting management and control capability of the converter station is enhanced, and the accuracy and effectiveness of fire-fighting safety management and control of the converter station are improved.

The invention discloses a battery pack intelligent fire extinguishing system based on multistage thermal runaway early warning, which comprises a sensing monitoring module, a data processing module, an execution mechanism module and a communication interaction module, the sensing monitoring module comprises a distributed temperature sensor array for monitoring the surface temperature of the battery in real time and detecting abnormal temperature rise, a voltage / current monitoring circuit for detecting the voltage fluctuation of the battery and identifying the risk of internal short circuit, and a multi-gas detector for detecting the CO / CO / H concentration and judging the initial decomposition reaction of the electrolyte. According to the invention, three-level early warning can be carried out at the potential risk stage of thermal runaway, the initial stage of thermal runaway and thermal runaway outbreak, so that early warning or fire-fighting treatment can be carried out in advance, and disaster expansion is avoided; the situation of false alarm caused by temperature rise in the battery charging process can be reduced, and the early warning accuracy of the system is improved.

The invention provides an intelligent building fire safety early warning system based on intelligent fire protection, and relates to the field of fire safety, and the system comprises a distributed data collection module which is used for achieving data real-time collection and network disconnection local processing through heterogeneous sensor networking and dual-mode communication; the edge processing module is used for carrying out edge processing on the output standardized environment data flow by adopting a fire behavior triple verification model and a dynamic weight algorithm, and carrying out cross-node model sharing in combination with a federated learning framework so as to obtain a fire risk score and a fire source positioning coordinate; the decision execution module is used for dynamically planning an evacuation path; the feedback module is used for performing real-time rendering fluid dynamics fire spreading simulation on the evacuation path and generating multi-terminal early warning; and the dynamic evacuation optimization module simulates and optimizes the exit position and the path planning through fluid dynamics to obtain the optimized path planning. The method and the device are used for overcoming the defects of cloud processing delay and failure during network disconnection in the prior art.

The invention belongs to the technical field of fire-fighting facility control and management, and discloses a fire-fighting facility full-life-cycle intelligent operation and maintenance management control system. Comprising the following steps: acquiring real-time field state data; in a non-fire state, executing an active excitation and response test to obtain dynamic response data; processing the field state data and the dynamic response data by adopting an end-to-end multi-task learning framework, and outputting a structured diagnosis result containing the health states of the pump set, the valve and the pipe network; establishing an initial health baseline of each key device, and dynamically generating a self-adaptive alarm threshold value; a quantitative risk level is generated in combination with the fire safety level, and an operation and maintenance strategy instruction containing pilot operation and maintenance parameters is generated; main and standby equipment switching and strong health detection are automatically executed, and the fire protection function is preferentially guaranteed when a fire alarm or a manual forcing instruction is received; and executing grading alarm according to the quantitative risk grade. And intelligent operation and maintenance management control of the whole life cycle of fire-fighting equipment is realized.

The invention relates to the technical field of intelligent monitoring of fire-fighting equipment, in particular to a fire-fighting pipe fitting connector leakage real-time alarm system based on a gas sensor, which comprises the following steps of: acquiring concentration data of various gases by arranging a sensor array, comparing the concentration data with an environmental background feature library by utilizing a background noise suppression algorithm, and determining the leakage of the various gases; and after interference is filtered, an effective leakage characteristic signal is generated. The signal is analyzed through a multi-dimensional leakage evaluation model, and leakage confidence, intensity and preliminary positioning are obtained. And in combination with a fire-fighting pipeline topological structure, the system deduces a leakage influence range and estimates pressure loss, and finally triggers a grading alarm mechanism to generate a composite alarm instruction including grades, positions, influence areas and disposal suggestions. According to the system, false alarms caused by environmental interference can be reduced, the influence range of a leakage event is pre-judged in advance, and the alarm accuracy and the emergency disposal pertinence are improved.

The invention discloses a fire safety assessment method and system based on machine learning, and relates to a machine learning and fire safety assessment technology, and the method comprises the steps: collecting image data, equipment operation data and environment monitoring data of a fire-fighting place; inputting the first image feature vector into a pre-trained deep convolutional neural network model to obtain a risk level label, and inputting the first standardized data into a long-short term memory network model to obtain a first time sequence prediction result; performing feature fusion on the first risk level label and the first time sequence prediction result, constructing a fusion feature matrix, and inputting the fusion feature matrix into a random forest model for parameter learning; and inputting newly collected fire-fighting data into the learned random forest model to carry out safety level prediction so as to obtain a fire-fighting safety prediction result and generate risk early warning information. According to the invention, risk early warning information can be generated in real time, fire-fighting potential safety hazards can be quickly responded, and the fire-fighting management efficiency is remarkably improved.

The invention discloses a data encryption and access control device for an intelligent fire-fighting internet of things system in the technical field of data protection. The data encryption and access control device comprises a dynamic encryption engine, a multi-mode access control module and a safety coprocessor. The dynamic encryption engine adaptively selects an SM4-GCM and SM9-Kyber hybrid encryption algorithm based on the data sensitivity level and the equipment type, so that the transmission encryption delay is less than or equal to 0.9 ms; the multi-mode access control module supports dynamic permission upgrading and tamper-proof evidence storage in a fire emergency scene through a three-layer architecture of RBAC + ABAC + block chain auditing; the security coprocessor adopts an FPGA hardware acceleration SM4 algorithm, and the energy efficiency ratio reaches 15Gbps / W. Anti-quantum security: the post-quantum algorithm Kyber-768 passes through the third round of authentication of NIST, and the key negotiation efficiency is improved by 3 times compared with that of the traditional ECDH (test data: the negotiation time consumption of 100,000 times is reduced from 18 seconds to 5.7 seconds). Technical optimization of the device comprises fine-grained access control innovation, a multi-modal strategy engine, block chain auditing and tracing, hardware acceleration efficiency optimization and distributed key management.

The invention discloses a security and disinfection integrated big data platform regulation and control method based on artificial intelligence, and relates to the technical field of safety production and fire-fighting management, and the method comprises the steps: obtaining operation data and historical data, carrying out the standardization processing of the operation data, generating a training data set, training and constructing a deep convolutional neural network model, spatial correlation features are extracted through multilayer convolution operation, key state information is identified in combination with an attention mechanism, and a feature mapping matrix is generated; inputting the feature mapping matrix into a constructed safety evaluation model, calculating a safety risk index, and dividing risk levels according to the safety risk index; and generating an inspection task list according to a risk grade division result, and issuing the inspection task list to the mobile terminal for execution, thereby realizing dynamic regulation and control of the security risk. The technical bottlenecks of a traditional security and disinfection integrated platform in the aspects of data analysis, risk identification, management and control and the like are broken through, intellectualization and precision of security risk management are achieved, and the security management efficiency is improved.

The invention relates to the technical field of fire fighting, and discloses an intelligent control system for a fireproof electronic display screen, and the system comprises a temperature monitoring module which collects the temperature data of each peripheral region in real time through a sensor array which is uniformly distributed in a region where the number of through holes at the back of a screen body exceeds a preset number; the smoke monitoring module collects the environment smoke concentration in real time through sensors installed at the positions of a plurality of through holes in the back of the screen body. The probe monitoring module acquires monitoring videos outside the screen body and at the perforation by means of a high-definition probe at the edge of the screen body or at the perforation position; the multi-source data analysis module establishes a three-dimensional temperature field model, a smoke diffusion track and fire source characteristic data based on temperature, smoke concentration and internal and external monitoring videos; and the intelligent control module triggers the fire-fighting linkage system according to the data and the multi-stage early warning rule, and intelligently controls the display screen at the same time. The intelligent level of fire prevention of the electronic display screen is improved, fire hazards can be automatically and efficiently dealt with without close attention of workers, and the management efficiency is improved.