122results about How to "Balance security" patented technology

The invention provides a deep reinforcement learning optimization algorithm based on an adaptive encryption framework, and the algorithm comprises ten steps: data input preprocessing, data sensitivity evaluation, system resource state acquisition, state vector construction, strategy decision, encryption execution, calculation reward, model updating, result output, and loop optimization. The method aims at solving the problems that encrypted data processing efficiency is low and safety is difficult to consider. According to the method, intelligent optimization of the encryption strategy is realized through the data sensitivity evaluation module, the adaptive encryption strategy adjustment module, the deep reinforcement learning optimization module, the parallel processing module, the resource scheduling module and the like. On the premise that the data security is ensured, the processing efficiency of the system is remarkably improved, and the method is suitable for scenes such as cloud computing, big data processing and the Internet of Things which need to process a large amount of sensitive data.

The invention discloses a crowdsourcing acquisition map data desensitization method and system based on deep learning. According to the method, a'high-precision map desensitization rule and target sensitivity level table 'is constructed for grading and classifying a to-be-desensitized target, and a desensitization method is specified and comprises a shape type, a privacy type and a character type. For shape type and privacy type sensitive targets in a high-precision map, the positions of the sensitive targets are detected by using a sensitive target detection algorithm based on Faster RCNN, and different desensitization methods are used according to the sensitive levels of the sensitive targets. For character sensitive targets in a high-precision map, all character areas in the map are detected by using a natural scene text detection model I3CL, the text areas are recognized by using a text recognition model SVTR to obtain text contents of the character areas, sensitive characters in the character areas are matched through a sensitive word matching module, and the sensitive characters in the text areas are matched through a sensitive word matching module; and a sensitive area removing model based on LaMa is used for the sensitive character area, and sensitive characters are removed from the graph.

The invention relates to a method for controlling the stability of a transport vehicle. Comprising the following steps that dynamic parameters of the speed, the acceleration, the steering angle and the sideslip angle of a vehicle are collected through a vehicle sensor comprising an accelerometer, a gyroscope and a wheel speed sensor; in combination with various sensors such as a vehicle-mounted radar, a laser radar and a camera, conditions of wet, slippery, rugged and uneven road surfaces are monitored in real time, and road surface friction coefficient parameters are generated through a data fusion algorithm; according to the dynamic state of the vehicle and the real-time road surface state, the stability of the vehicle is evaluated through a mathematical model, and the potential risk of current instability is calculated; a plurality of stability control modes are preset according to different driving scenes including expressways, mountain roads and wet and slippery roads, and different control parameters and algorithms are adopted in each mode; a sensor including a driver state monitoring system inside a vehicle and external environment data including meteorological data and traffic information are utilized to predict operation behaviors including sudden acceleration and sudden braking of a driver.

The invention provides a cylindrical lithium battery. A first hole and second holes are formed in a plate body part of a positive collector plate in the cylindrical lithium battery, the diameter of each second hole is 25%-35% of the diameter of the plate body part, the sum of the areas of all the second holes is 0.9-1.5 times of the area of the first hole, and a fusing groove is formed in a tail body part of the positive collector plate. The distance between the center position of the fusing groove and the end, away from the disc body part, of the tail body part is 68%-78% of the length of the tail body part, and the minimum sectional area S2 of the tail body part in the fusing groove is 45%-65% of the overall sectional area S1 of the tail body part. According to the cylindrical lithium battery, the disc body part and the tail body part of the positive collector disc are reasonably designed, so that the cylindrical lithium battery is balanced in the aspects of safety, liquid injection performance, weldability and the like.

The invention relates to a non-signal-control intersection networked vehicle ecological driving method based on deep reinforcement learning. The method comprises the following steps that 1) a deep reinforcement learning algorithm is coupled with a microscopic traffic flow model to drive a strategy module to generate traffic flow features; the vehicle cooperative control collision avoidance strategy module adjusts the speed and path of the vehicle; the ecological driving strategy module calculates instantaneous energy consumption and carbon emission of the vehicle; 2) through input and feedback of the three modules, a deep reinforcement learning coupling model cooperative control module obtains three function modules of ecological energy saving, high efficiency and safety and driving comfort award; 3) forming a multi-stage multi-target reward function module; 4) the traffic scene module simulates a real traffic environment; and 5) calling data of the multi-stage multi-target reward function module and the traffic scene module by the main function module, and finally outputting a non-signal-control intersection automobile automatic driving strategy. Through the synergistic effect of all the modules, self-adaptive ecological driving can be realized in a complex dynamic traffic environment.

The invention discloses a load demand-based cross-period dynamic hydrogen storage planning method, which relates to the technical field of energy utilization and comprises the following steps of cross-period hydrogen storage system modeling, typical day selection and feature extraction, comprehensive energy system planning model establishment, random-robust two-stage optimization method solving and objective function design. By designing the introduction and modeling of the IHS, the energy transfer function is realized, the problem that energy storage equipment in a traditional power system cannot store energy across seasons is solved, the technical challenge of unbalanced power supply and demand is overcome, the permeability of renewable energy sources is improved, wind and light abandoning phenomena are reduced, and carbon emission is reduced. And the realization of low-carbon and green energy targets is promoted.

The present invention discloses a network security protection method and system, which relates to the field of network security technology, including obtaining user behavior data of a target user and determining the user's current network security level; automatically adjusting weight parameters of an activity index, a login anomaly index, a running index and an operation anomaly index according to the real-time status and historical data of the network environment; establishing a hybrid state model using the collected user behavior data to identify and predict normal and abnormal behavior patterns; calculating the comprehensive security parameters of the target user based on the dynamically adjusted weight parameters, and then determining the user's overall security level; dynamically adjusting the network access control strategy according to the user's security level. The present invention forms a set of advanced network security protection mechanisms by integrating user behavior analysis, environmental adaptability weight adjustment, hybrid state model prediction, comprehensive security parameter calculation and dynamic access control strategy.

The invention discloses an optimal unit combination method and device considering inertia-frequency change rate spatial distribution characteristics, and the method comprises the steps: expanding a conventional DC power flow model to a node behind the internal reactance of a generator; inertial response process models of different nodes are constructed, and the injection power and phase angle change coupling relation of the generator nodes and the load nodes at the moment after disturbance is analyzed; establishing an inertia-frequency change rate spatial distribution model according to the characteristics of different nodes; and combining the inertia-frequency change rate spatial distribution model established in the previous step, comprehensively considering spatial characteristics and inertia distribution conditions of the power grid topology, and constructing an optimal unit combinatorial scheduling model based on meeting power grid node frequency security constraints and steady-state constraints. According to the invention, the frequency stability of the system after major disturbance is improved.

The invention provides a firmware online upgrading method, embedded equipment, a medium and a product, and relates to the technical field of intelligent terminals. The method comprises the following steps: after the embedded equipment is powered on, running a primary bootstrap program, and checking a first mark state: if the state is a state of updating a secondary bootstrap program, executing online updating of the program and resetting a system; and if the state is the default state, loading and running the secondary bootstrap program. Checking a second mark state; if the second mark state is an updating mirror image state, executing firmware mirror image online updating and resetting; and if the state is the default state, determining a target mirror image, copying the target mirror image from the nonvolatile memory to the random access memory, and skipping to run. And the equipment simultaneously monitors the running state of the target mirror image in real time, and executes successful confirmation or abnormal recovery operation according to the state. In this way, quick response of faults is achieved through running state feedback, the stability and reliability of firmware upgrading of the embedded device are effectively improved, and the risk of device paralysis in the upgrading process is reduced.

The invention relates to an industrial internet credible connection method and system based on a neural network and MQTT, and the method comprises the steps: obtaining the network flow data of target equipment, and training a credibility discriminator based on a time convolution neural network according to the network flow data; based on the trained credibility discriminator, carrying out credibility judgment on the node initiating the credible connection to the target equipment: if the credibility is greater than a preset value, carrying out identity authentication according to the digital certificate of the node; otherwise, performing identity authentication on the node according to a preset access control rule of the target equipment; and for the trusted node passing the identity authentication, a digital certificate service of trusted connection is provided for the accessed trusted node through an MQTT protocol and a lightweight public key, and the digital certificate service comprises application, query, acquisition and verification of a digital certificate. Through the MQTT and the convolutional network, the lightweight of the trusted connection architecture and process is realized, and the security is improved.

The invention relates to a method for supporting secure transmission and verification of large data files in a cloud environment, and belongs to the technical field of file transmission. The method comprises the steps of a preparation stage, file fragmentation encryption, confusion processing, file uploading and downloading, file decryption and combination and the like. The method is characterized in that a file is divided into a plurality of file fragments, each fragment is symmetrically encrypted to generate file fragment metadata, then confusion fragments and encrypted file fragments are uploaded to a cloud server at the same time, and due to the fact that the encrypted file fragments lose sequence information, the sequence information is encrypted and then stored, and the file fragments are stored in the cloud server. The user needs to access and read; and hiding the sequence information of the file fragments in the graph, obtaining the sequence information by using an algorithm, and finally carrying out file merging, so that the secure transmission of the file is completed. According to the method, under the condition of distributed deployment, the transmission efficiency can be improved, the file transmission safety can be improved, and safe transmission of file data is achieved.

The invention provides an RSS (Received Signal Strength)-based automatic driving right-of-way optimization lane changing method. The method comprises the following steps: establishing a responsibility sensitive safety model RSS model, wherein the RSS model comprises a longitudinal minimum safety distance set by using surrounding environment information and vehicle state information of an automatic driving vehicle (AV), and a driving distance safety constraint condition that the longitudinal distance from a surrounding vehicle to the AV is smaller than the minimum safety distance; constructing a decision making model, and training the decision making model by using a set global reward function and a vehicle lane changing performance evaluation index to obtain a trained decision making model; and designing a road right priority strategy by using a driving distance safety constraint condition through the trained decision making model, and carrying out AV road right priority lane changing decision by using the road right priority strategy according to the surrounding environment information and the road right lane changing decision evaluation feedback information. According to the method, the efficiency of the vehicle can be dynamically evaluated and optimized, lane changing safety is ensured, safety and efficiency are balanced, and road right optimization requirements of different vehicles are met.

The invention discloses an offline file security management and control method and system based on a quantum key and a national secret algorithm, and relates to the technical field of file security management and control, and the method comprises the steps: setting a plurality of simulated quantum key updating frequencies, equally dividing the time before updating the quantum key in a simulation process in simulation software, obtaining equal interval security data and key updating performance influence data; constructing a key updating frequency effect evaluation model based on a BP neural network according to the safety data and the key updating performance influence data in the equal division interval; according to the output of the key updating frequency effect evaluation model and the corresponding quantum key updating frequency, drawing a frequency-effect curve graph; and performing data analysis on the frequency-effect curve graph to obtain a screened quantum key update frequency, and applying the screened quantum key update frequency as a final quantum key update frequency to offline file security management and control. According to the invention, the problem of lack of balance in selection of the quantum key updating frequency through experience setting in the prior art is solved.

The invention relates to the technical field of cross-border data secure transmission, and particularly discloses a semantic analysis-based cross-border data secure transmission method, which comprises the following steps of: dividing a sender credit investigation level through a multi-source credit investigation acquisition and semantic analysis model; the method comprises the following steps: preprocessing to-be-transmitted multi-modal data, and classifying the data through semantic alignment; matching transmission authority according to credit investigation levels and data types, separating transmittable data according to core / non-core data, and performing hierarchical encryption according to sensitive types of the data; data are transmitted through a cross-border private line of a TLS1.3 protocol, a sliding window and a retransmission mechanism are combined, and the integrity is verified by adopting a Hash algorithm. According to the invention, compliance dynamic adaptation is realized, protection precision and reliability are improved, and safety and efficiency are balanced.

The invention discloses a holographic intelligent building energy-saving operation and maintenance management system based on a BIM model, and particularly relates to the technical field of data transmission, and the system comprises a building information model building module, a real-time information collection module, a holographic image module, an analysis module, a quality judgment module and an encryption module. The building information model establishing module is used for establishing a BIM model; the real-time information acquisition module collects data and transmits the data to the holographic image module; the holographic image module generates a dynamic holographic image; the analysis module monitors and preliminarily analyzes the data transmission quality; the quality judgment module calculates a delay kurtosis index and a packet loss probability skewness index and generates a data comprehensive quality coefficient; the encryption module is used for determining a confidentiality level and encrypting data; according to the invention, the timeliness and reliability of the data are ensured, the high expectation of a user is met, the stable and reliable service is ensured to be provided by real-time monitoring and dynamic encryption, and the balance relationship between the real-time performance and the reliability of data transmission is better established.

The embodiment of the invention discloses a traveling wave positioning device distribution method and device, equipment and a storage medium. Comprising the steps of obtaining power grid parameters of a to-be-distributed power distribution network, and determining an undirected graph adjacency matrix, node coordinate information and line parameter information of the to-be-distributed power distribution network according to the power grid parameters; according to the undirected graph adjacency matrix, the node coordinate information and the line parameter information, performing iterative solution meeting preset line length constraint and preset impedance constraint on the initialized particle population, and determining at least one candidate point distribution scheme; and determining the candidate point distribution scheme with the least points as a target point distribution scheme of the power distribution network to be subjected to point distribution. Therefore, observation of all lines in the distribution network to be subjected to point distribution is completed by using the least traveling wave positioning device, the fault positioning cost of the distribution network is reduced, and the safety and economy of the distribution network are better balanced.

The utility model relates to the technical field of chemical reagent experiments, in particular to a flask with an explosion-proof function, which comprises a safety plug, the bottom end of the safety plug vertically penetrates through an opening at the top end of a thin bottle neck, a ball bottle body is arranged at the bottom end of the thin bottle neck, and a pressure relief through pipe is arranged on the outer wall of one side of the ball bottle body. And a pressure relief valve obliquely penetrates through the interior of the pressure relief through pipe, one side of the outer portion of the ball bottle body is sleeved with a first protective net sleeve, and one side of the first protective net sleeve is connected with a second protective net sleeve in an adsorption mode. According to the improved flask and the safety plug, automatic pressure adjustment is achieved, a controllable pressure relief channel is formed, the sealing performance and the safety are balanced, the relative positions of the pressure relief valve and the pressure relief hole are changed, high-pressure gas can be conveniently diffused and discharged in a fan shape through the pressure relief hole, the impact force and danger of gas injection are reduced, meanwhile, the pressure relief valve has a reset mechanism, and the safety performance is improved. The first protective net sleeve and the second protective net sleeve can effectively intercept large glass fragments generated when the bottle body is broken, and the large glass fragments are prevented from splashing to hurt people.

The application provides a large model security management method, system, device and medium based on a core particle architecture, which can be applied to the technical field of semiconductor integrated circuits. The method comprises the following steps: setting a physically isolated special security core particle as a hardware trusted root in a heterogeneous integrated system, and connecting the special security core particle with at least one target core particle running a large model through a bus; deploying a lightweight security supervision model with a smaller parameter quantity than the large model in the special security core particle; collecting behavior characteristic data of the target core particle running the large model in real time; performing inference by using the lightweight security supervision model, calculating an abnormality metric between the current behavior of the target core particle and a preset normal behavior model; updating a dynamic trust state of the target core particle based on the abnormality metric; and performing a hardware-level security response operation by the special security core particle in response to the dynamic trust state reaching a predetermined threshold.

The present application relates to the technical field of in-vehicle network communication, and discloses a lightweight and secure communication method and system between ECUs in an in-vehicle network. The communication method comprises an ECU identity authentication phase: each ECU interacts with a CAN gateway, and the CAN gateway performs batch identity authentication to verify the legality of all ECUs; a data classification phase: according to the data sensitivity, the data to be transmitted is classified as confidential data or non-confidential data; a data transmission phase: if the data to be transmitted is confidential data, the sender ECU uses a session key and an ASCON encryption algorithm to encrypt and authenticate the plaintext of the confidential data, generates ciphertext and authentication parameters, and sends a data packet containing the ciphertext and authentication parameters to the receiver ECU; if it is non-confidential data, the sender ECU uses a session key and an ASCON encryption algorithm to only sign but not encrypt the plaintext, generates an authentication tag, and sends a data packet containing the plaintext and the authentication tag to the receiver ECU. The present application takes into account the security and computational overhead of in-vehicle ECU communication.

The invention relates to the technical field of organoid culture, in particular to a pulmonary fibrosis organoid model and a construction method and application thereof. The pulmonary fibrosis organ-like model is obtained by co-culturing lentivirus stably transfected alveolar epithelial cells, human embryonic lung fibroblasts MRC-5 and macrophages. According to the invention, macrophages are innovatively introduced, a ternary co-culture system of lentivirus stably transfected alveolar epithelial cells, human embryonic lung fibroblasts MRC-5 and macrophages is constructed, and a key'epithelial injury-immune infiltration-fibroblast activation 'pathological triangle in a pulmonary fibrosis pathogenesis process can be more comprehensively simulated; the finally obtained pulmonary fibrosis organ-like model provides an efficient tool for pulmonary fibrosis mechanism research and research, development and screening of anti-pulmonary fibrosis drugs.

This invention discloses a data synchronization method and system based on front-end orchestration management, belonging to the field of data synchronization. The method includes the following steps: selecting the data table and field information to be monitored through the front-end interface, generating configuration information, and orchestrating the synchronization process logic according to business needs; storing the configuration information in real time to the configuration center to generate real-time monitoring rules; capturing changed data of the data table and field information, encapsulating it into standard data units and sending it to a message queue; preprocessing the standard data units in the message queue; the synchronization adaptation module matching the corresponding driver type according to the synchronization process logic to generate a synchronization instruction set, and executing data synchronization operations based on the preprocessing results; performing full-link monitoring of the synchronization process, and performing task lifecycle management based on the lifecycle rules configured on the front end. This invention improves synchronization efficiency through dynamic threshold verification, multi-source field fusion weighting, and dynamic encryption strategies, and the full-link monitoring further enhances front-end manageability.

The invention discloses a multi-level risk management and control digital safety monitoring management method. The method comprises the following steps: firstly, collecting system and supervision index data and determining a risk level; secondly, extracting supervision historical data to form an operation sequence, converting the operation sequence into a dynamic directed graph, constructing a cause and effect graph model to output a baseline, and setting a threshold value; triggering deep temporary verification according to different levels of user super-operation times, detecting an artifact attack, and closing a session and performing early warning if an exception occurs; after verification is passed, behavior and supervision features are captured at the key business process node for secondary authority authentication; after the authentication is passed, performing short-time dynamic authorization and recording changes; according to the scheme, through acquisition of insurance data hierarchical management and control, a model is constructed in combination with historical operation to identify abnormity, attack is blocked by using a dynamic threshold value and deep verification, risks are prevented and controlled through secondary authentication of key nodes, short-time dynamic authorization gives consideration to flexibility and security, the real-time defense capability of a system for sensitive data leakage and other risks is improved, the false alarm rate is reduced, and the safety of the system is improved. And a full-life-cycle intelligent safety protection system is formed.

The application discloses a blockchain-based ticket settlement verification method and system, relates to the technical field of financial transaction safety, and comprises the following steps: S1, receiving a cross-border order submitted by a buyer, verifying the order integrity and the authenticity of the buyer's identity by using a digital signature algorithm, analyzing and extracting the buyer's information, the HS code of the commodity, the payment amount and the currency, and completing the consistency comparison of the ticket basis information in combination with the corresponding tax payment price interval of the HS code; S2, calling an off-chain risk control engine to carry out multi-dimensional compliance verification in parallel, generating a comprehensive risk score and dividing a risk level; after the verification, a preset aggregation template is matched based on the risk level, a unique feature identifier of the order is generated by using a hash algorithm; the risk level is adaptively matched with batch aggregation parameters and on-chain priority, and differentiated dynamic scheduling of off-chain batch evidence is realized. The application realizes full-dimensional pre-checking to avoid false transaction risks, and builds a risk level adaptive adjustment mechanism to balance business processing efficiency and risk control safety.

The present invention discloses a private domain knowledge protection method and system, which belongs to the field of text data processing technology, including document collection, document parsing, document encryption, document analysis, vectorization processing, document classification, key point summarization, guiding question generation, expansion and cleaning, model training, model encryption, authentication control and dynamic permission adjustment, which solves the technical problems of ensuring the accuracy of knowledge protection through strict isolation of different LoRA models, using symmetric encryption technology and trusted key encryption of models in the data preprocessing stage to protect data privacy. The present invention ensures the privacy and security of original data in the entire processing flow, effectively prevents unauthorized access or leakage of data during the preprocessing process, and ensures the security of data. A hybrid encryption strategy is adopted to ensure the efficiency of data processing; the phased encryption strategy can give full play to the advantages of different encryption technologies and achieve a balance between efficiency and security.

The invention relates to a flexible connecting device between floating type photovoltaic floater modules, which comprises a connecting rod, and the head end part of the connecting rod is connected with the tail end part of one photovoltaic floater module in a relative rotation manner along the vertical direction; the tail end part of the connecting rod is connected with an external connecting rod fixed at the head end of the other photovoltaic floater module through a lengthened hoop; the connecting rod is a composite rod piece with the inner portion being rigid and the outer portion being flexible and / or an elastic connecting structure capable of achieving axial and radial deformation is arranged between the tail end of the connecting rod and the head end of the external connecting rod. Through rotation of the single hinge at the head end, the bending moment load caused by relative rotation between the floater modules is reduced, so that the structural safety of the floatable photovoltaic device is improved; through stretching, compression and bending of the elastic connecting structure at the tail end, the load generated by relative movement of the floater modules on the horizontal plane is reduced; the inherent rigidity of the connecting device can reduce the relative rotation angle between the floater modules to a certain extent, and the overall stability of the floating photovoltaic device can be improved.

This invention discloses an earthquake disaster simulation training method and system, aiming to solve the problems of low multi-system timing synchronization accuracy, insufficient immersion and training realism, fixed configuration, and high scene adaptation costs in existing earthquake simulation systems. This method initializes the system by loading a structured configuration file, establishing a globally unified time reference for all system control nodes; it uses real-time audio-visual timecodes to drive the calculation of the target magnitude, generating synchronization control commands with unified execution timestamps to achieve timing alignment of vibration, audio-visual, and environmental effects; it implements hierarchical safety control throughout the entire process, and completes system reset through a progressive termination sequence after the process ends. This invention significantly improves the synchronization accuracy and immersion of earthquake simulation, enhances system scalability, reduces scene adaptation costs, and ensures the safety of the training process.

The invention discloses a vehicle fault-tolerant control method under the abnormal condition of a multivariable measurement sensor, and belongs to the crossing field of electric digital data processing and intelligent driving vehicle control technologies. The method comprises the following steps: firstly, based on spatial-temporal correlation and physical consistency constraints of multi-source sensor data, carrying out redundancy modeling and credibility evaluation on a key state of a vehicle; then, when it is detected that the sensor is abnormal, real-time compensation and correction of failure observation are achieved through a state reconstruction model driven by redundant data; and further combining a rapid fault identification and virtual sensor switching mechanism to construct a fault-tolerant control strategy for the minimum function demand of the vehicle so as to ensure that the vehicle can still maintain basic driving and safety control capability under the condition that the functions of part of sensors are damaged. According to the invention, the real-time performance of the system is ensured, the safety and robustness of the intelligent driving vehicle in a complex environment and an abnormal condition are obviously improved, and the method is suitable for a multi-sensor fusion intelligent vehicle control system.

This invention discloses a data access control method and related apparatus in a multi-agent collaborative environment, relating to the field of intelligent agents. Responding to a data query request initiated by a first intelligent agent, the method obtains the identity attributes and current task context of the first intelligent agent to determine the visible data range from a hierarchical data repository. Within the visible data range, it retrieves a target data unit matching the data query request and obtains the degree of difference between the first intelligent agent's permission level and the security level label of the target data unit. Based on this difference, it performs differentiated semantic processing on the target data unit and returns the processed target data unit to the first intelligent agent. This invention overcomes the rigidity of static isolation through dynamic permission adjustment and semantic desensitization. By performing field-level or digest-level desensitization based on the difference between permissions and security levels, it enables low-permission nodes to obtain the information required for the task, avoids the waste of non-sensitive knowledge in high-security data, and balances security and knowledge utilization.

The application discloses a kind of heat supply system risk prevention and control and emergency decision-making method considering N-1 working condition scene, comprising: first, preset source side, net side, station side N-1 working condition scene, based on end heat user label aggregation generates heat supply area label and assesses the degree of influence.Second, analyze system operating parameters under different scenarios, build N-1 working condition scene analysis library and risk assessment system.Third, based on analysis library and load demand, safety constraints, deduce full-quantity feasible emergency dispatching scheme and construct emergency plan library;At the same time, combined with structural defects and supply and demand trend, design long-period network frame structure time sequence planning scheme and optimize using risk assessment system.Then, based on emergency plan library, historical data and base large model, according to the chain of thought of online alarm, scheme matching, emergency command trains full-quantity emergency dispatching large model.Finally, when N-1 condition occurs, call the large model to automatically execute emergency dispatching.

The application relates to the field of intelligent cabinet management, in particular to a safety data management system and method based on an emergency rescue intelligent cabinet, which comprises a material grading module, a permission management module, a distribution planning module, a space supervision module and an emergency identification module, the material grading module is used for establishing a material grading system, the permission management module is used for determining the opening permission of a high-grade material storage compartment, the distribution planning module is used for constructing a gridding model and determining the optimal layout of the intelligent cabinet, the space supervision module is used for setting the positions of common cabinets and supervision points, and the emergency identification module is used for determining the core area of an emergency event; the application can reduce the setting cost of the intelligent cabinet, optimize emergency resource management, balance the convenience and safety of the intelligent cabinet, shorten the material deployment time, improve the emergency response speed, realize event detection and dynamic adjustment mechanism based on a material flow mode, and provide rapid and effective material guarantee for emergencies.