247 results about "Physical security" patented technology

The invention discloses an information physical security defense method, system and device based on a distribution network digital twin simulation platform and a medium, and belongs to the technical field of information security and control defense of the power distribution Internet of Things, and the method comprises the steps: constructing a three-dimensional channel for interaction of a physical power grid, an information model and simulation data; on the basis of a three-dimensional channel, a three-state dynamic conversion model among a steady state, a transient state and a recovery state is constructed, and multi-state automatic switching simulation is achieved through sub-region division and parallel computing; a multi-level risk modeling system oriented to various risks is constructed based on simulation results, complex attack scenes are identified, and mapping of risk types and response paths is achieved; security risk assessment and defense strategy generation verification are completed, and intelligent collaboration and continuous learning of cross-domain defense strategies are achieved through collaborative optimization. According to the method, the construction efficiency of a complex risk scene is improved, quantitative analysis of cross-domain risks such as circuit breaker mis-tripping caused by network attacks is realized, and the limitation of traditional single-domain risk analysis is broken through.

The invention belongs to the technical field of machine room safety monitoring, and discloses an image review method fusing semantic understanding and visual recognition, which comprises the following steps: calculating visual / semantic feature dynamic credibility in real time through an exponential weighted moving average algorithm in combination with environment interference and equipment state parameters; resNet50 is adopted to extract visual features in global and local branches, and a BERT model is adopted to encode semantic features; correcting the feature correlation degree according to the scene, calculating a dynamic weight, carrying out heterogeneous calibration through an attention mechanism, and calling priority rules such as'physical security features are higher than behavior features' for arbitration during conflicts; the method is advantaged in that low-credibility feature interference fusion is avoided, abnormity identification accuracy in a complex scene of a machine room is improved, multi-modal data cooperation demands are adapted, scene labels are marked based on time, work orders and historical data dimensions, an exclusive sub-model is constructed for a high-density scene through DBSCAN density clustering, and low-frequency scene parameters are migrated to a similar model.

The invention provides a water conservancy information security protection method and system. The method comprises the following steps: S1, edge equipment physical security reinforcement; S2, dynamic encrypted data acquisition; S3, adaptive fragmentation redundancy transmission; a protection module is deployed in a water conservancy sensor and an RTU, equipment vibration, uncovering and environmental parameters are monitored, abnormal physical attacks or environmental overrun are detected, a secret key is automatically erased, a data protection mode is started, data leakage when equipment is physically damaged is prevented, data security of edge equipment is guaranteed, and the safety of the equipment is improved. And in cross-system data interaction, an MPC or federated learning technology is adopted, original data is locally reserved, and a block chain audit log is generated to record a calling behavior, so that data sharing is realized, data is ensured not to be locally out, data privacy is guaranteed, and a data calling tracing basis is provided.

The invention discloses a unified identity authentication and access control method for a power multi-service system based on a national secret algorithm. According to the invention, through systematic deployment of SM2, SM3 and SM4 cryptographic algorithms, a full-link security protection system from identity authentication to authority management is constructed. The unified identity authentication platform adopts a mode of combining a distributed micro-service architecture and a hardware encryption machine, so that the physical security of key storage and operation is guaranteed, and the stability and response speed of the system are improved through a master-slave synchronization mechanism and interface delay control. A multi-source identity information federation acquisition mechanism realizes real-time integration of static attributes and dynamic behavior data, abnormal characteristics of user operation can be accurately captured by combining a risk assessment matrix of an improved LSTM-attention mechanism, and an SM2 bidirectional dynamic authentication protocol is automatically triggered when a risk score exceeds a dynamic threshold. Closed-loop protection of collection-evaluation-authentication-auditing is formed, and security threats such as identity counterfeiting and authority crossing are effectively resisted.

The invention discloses a valve state monitoring and safety interlocking method based on machine vision, and belongs to the technical field of industrial process control and safety. The method comprises the following steps: 1, calibrating a camera and establishing a model; step 2, image acquisition and preprocessing; step 3, key image feature extraction and state decision; fourthly, opening degree calculation and state judgment are carried out; 5, safety interlocking is triggered; and 6, feeding back data. The valve state monitoring and safety interlocking method is achieved through the valve state monitoring and safety interlocking system. According to the invention, the millimeter-level or even submillimeter-level displacement and angle real-time accurate measurement of the opening degree of the valve can be realized, the state monitoring of the valve is realized, and the stability and reliability in the production process are improved; state judgment is carried out by comparing the real-time opening value with the instruction opening from the control system, a safety interlocking signal is generated and transmitted to the safety interlocking system, and finally physical safety action is triggered, so that a set of complete safety protection system is realized, and accidents are avoided.

The invention discloses a data sharing method, system and equipment based on a virtual power plant and a medium, particularly relates to the technical field of power data collaboration, and is used for solving the problems of multi-source collaboration failure and resource misscheduling caused by data flow asynchronism of an existing static priority rule. The method comprises the following steps: acquiring operation data of distributed resources in real time through a shared communication network, marking a data stream based on a transmission delay state, generating a dynamic priority compensation coefficient for delay data in combination with a resource type and a power grid frequency modulation demand level, and fusing an initial priority rule to generate a real-time dynamic sequence; and furthermore, the influence of the scheduling instruction is simulated through the physical security constraint index of the power grid, the priority sequence is corrected in a closed-loop manner based on the security margin evaluation result, and finally a resource scheduling instruction is generated, so that efficient calling of low-cost resources and collaborative optimization of the operation reliability of the power grid in a data asynchronous scene are realized.

The embodiment of the invention relates to the technical field of information, and discloses an intelligent multi-source data quality evaluation and verification method and device, a medium and a product, and the method comprises the steps: converting intelligent multi-source data into standardized format data; performing quality evaluation on the standardized format data, wherein the quality evaluation comprises at least one of integrity check, availability check and consistency check; loading a robot URDF model corresponding to the standardized format data, driving the URDF model to move according to joint data, and synchronously playing corresponding visual data for realizing linkage playback of model actions and visual pictures; analyzing linkage playback through the first large model and / or the second large model; wherein the first large model is used for judging the physical safety of the robot action, and the second large model is used for judging the high-level semantic correctness of the robot action and task annotation, so that a high-quality and reliable self-service intelligent data set is constructed.

The invention relates to the technical field of power distribution networks, in particular to an intelligent optimization method for energy storage capacity configuration in a new energy power distribution network and an application system. Comprising the following steps: data acquisition and preprocessing; building a multi-objective optimization model; and performing simulation verification and scheme output. According to the method, in a new energy power distribution network safe operation and complex working condition adaptation scene, the power grid safe operation constraint and the energy storage equipment physical characteristic constraint are integrated, so that the energy storage configuration scheme is ensured to accord with equipment physical safety and power grid operation criteria; meanwhile, a hybrid intelligent optimization method of improved particle swarm algorithm global exploration and interior point method local refinement is adopted, the solving precision is improved to avoid local optimization, multi-scene verification is carried out through a simulation environment consistent with the electrical characteristics of the actual power distribution network, the applicability of the scheme under the complex working conditions of severe fluctuation of new energy output and the like is ensured, and the method is suitable for popularization and application. The problems that a traditional scheme is insufficient in security constraint coverage and incomplete in solving and verification mechanism are solved.

The invention discloses a digital twinning multi-agent reinforcement learning intelligent decision-making system and method with a secure memory playback mechanism, and the system comprises a digital twinning module which is used for constructing a virtual model and synchronizing the virtual model with a physical entity in real time; the multi-agent reinforcement learning module is used for carrying out strategy learning based on a constrained Markov decision process and balancing performance and safety through a Lagrange multiplier; the safe memory playback module is used for weighting and playing back the experience samples according to the risk and the timeliness so as to improve the learning safety; the reversible grey influence network module is used for causal modeling and reasoning and enhancing decision interpretability; the double-loop self-constraint control module ensures that a control action is always in a physical safety boundary through a barrier function and safety projection; and the convergence and stability criterion module is used for verifying strategy security convergence and system asymptotic stability. According to the method, the problems of strategy border crossing, virtual-real mismatching and the like in the high-risk manufacturing process are solved, and multi-target optimal control under the safety constraint is realized.

The invention discloses a distributed photovoltaic system adaptive information physical security risk assessment method and system, and the method comprises the following steps: constructing a deep learning model based on a long short-term memory network, collecting the historical data of a distributed photovoltaic system, and constructing a training set for training the deep learning model; collecting real-time data of the distributed photovoltaic system, preprocessing the real-time data, and obtaining a predicted security threat level in combination with the trained deep learning model; calculating a real-time risk score based on the risk assessment function and the predicted security threat level, and optimizing and updating the risk assessment function; and setting a security risk threshold, and generating a dynamic defense strategy in combination with the security threat level predicted by the model. According to the method, real-time monitoring and risk assessment of the distributed photovoltaic system can be realized, continuous learning and optimization capabilities are realized, the method can continuously adapt to change and development of the distributed photovoltaic system, and a powerful guarantee is provided for long-term stable operation of the system.

A system and method for placing and configuring physical security sensors & barriers, are described. The system generates and analyzes a three-dimensional model of a customer's premises using non-imaging sensors to determine optimal sensor placement. Based on customer requirements, the system distributes sensor models within the premises while accounting for environmental obstructions, coverage gaps, and redundancy minimization. An extended reality (XR) interface allows users to visualize and refine sensor configurations before deployment. The system integrates AI-driven analytics to optimize surveillance coverage, adjust sensor orientations dynamically, and generate detailed reports outlining sensor locations and configurations. The sensor stand transmits real-time data to the system for continuous monitoring, predictive maintenance, and security threat analysis. The system enhances security planning by reducing design time, installation costs, preventing post-deployment modifications, and ensuring comprehensive monitoring coverage across diverse environments, including commercial, industrial, and critical infrastructure sites.

A self-driving assembly capable of traversing an elevated window. The elevated narrow space window may be present within a confined area, for example, at a wall separating different wide space rooms. The assembly is configured to carry out unique techniques for gaining access to the window from a floor level location. Further, in addition to gaining access unique stabilizing features may be employed both in terms of physical security at an edge defining the window as well as in the form of maintaining balance through unique control over mass transfer when secured at the window.

A physical security system and method for effecting a temporary access permission change are disclosed. The method includes analyzing context information, corresponding to a defined and applied, time-limited video redaction, to responsively define the temporary access permission change impacting a physical access control system of the physical security system. The method also includes effecting the temporary access permission change to at least make entry via an at least one entry barrier of the physical access control system more restricted than before the effecting of the temporary access permission change.

The invention provides a mechanical arm processing method, a storage medium, electronic equipment and a program product, and relates to the technical field of robot control. The mechanical arm processing method comprises the steps that based on the error between the current pose and the target pose of an end effector, the joint motion state and the deviation between the joint motion state and the physical limit value corresponding to the joint motion state, the joint angle of a mechanical arm serves as an optimization variable, and a target function is constructed; setting a physical safety constraint, wherein the physical safety constraint refers to a physical limiting condition which needs to be met by the mechanical arm in motion planning; and carrying out iterative solution on the target function until a target joint angle enabling the weighted sum of the target function and the physical security constraint to be minimum is obtained.

The invention discloses an intelligent electric energy meter data security protection and encryption transmission method and system, and the method comprises the following steps: S1, collecting power utilization data through an intelligent electric energy meter terminal, and synchronously carrying out the physical security detection; if the detection result is abnormal, triggering local early warning and destroying the currently stored secret key; if the detection is normal, generating a 256-bit dynamic symmetric key; s2, encrypting power utilization data by adopting the dynamic symmetric key to generate encrypted data, and encrypting the dynamic symmetric key by adopting an asymmetric encryption algorithm public key to generate an encrypted key; s3, adding a millisecond-level timestamp and a 32-bit random number to the encrypted data and the encryption key, and constructing a security data frame; the method depends on a dynamic secret key mechanism, secret keys are updated according to periods, only short-time data are affected even if the secret keys are leaked, and the safety of all links of collection, transmission and storage is guaranteed; and through linkage of physical security and key management, when the terminal encounters exceptions such as disassembly, the system perceives and destroys the key in real time, so that physical attack stealing prevention is realized.

The invention belongs to the technical field of new energy automobile teaching practical training equipment, and discloses a high-voltage safety practical training interaction system and method based on Arduino and Unity 3D, and a storage medium. The system comprises a modular vehicle unit, an interactive display module and a safety control module group, wherein a detection terminal of a vehicle high-voltage system circuit diagram is electrically connected with a real vehicle high-voltage connector; the interactive display module carries a Unity 3D platform and integrates a teaching mode selection module, a high-voltage operation module, a data simulation measurement module, a fault assessment module and the like; the safety control module group performs dual protection through a leakage protector and a physical safety lock. The practical training method comprises system detection, vehicle type authorization, safety verification, multi-mode operation and generation of a multi-dimensional scoring report containing a fault positioning thermodynamic diagram. Real-time synchronization of physical operation and virtual simulation is achieved through combination of software and hardware, the problems that an existing practical training device is disjointed from a virtual object, adaptation of multiple vehicle types is poor, safety protection is insufficient and the like are solved, and the system is suitable for vocational colleges, vehicle enterprise training centers and other scenes.

The invention discloses an environmental physical security detection method, which relates to the technical field of information security, realizes multi-dimensional data acquisition by comprehensively using a thermal imager, a spectrum analyzer and an X-ray machine through the steps S1 to S5, overcomes the blind area of traditional manual detection, and ensures comprehensive identification of hidden secret stealing equipment. And secondly, through de-noising and standardization processing, the accuracy and reliability of the data are enhanced, and the risk of false alarm and missing alarm is reduced. In the feature extraction stage, key parameters such as a mean value Tm, a standard deviation Ts, a maximum frequency Fmax, a maximum intensity Imax and an edge feature Es are utilized to construct a scientific anomaly detection formula, so that the calculation of an anomaly detection index Da is more accurate, and potential safety hazards can be effectively identified. In addition, through matching of a secondary verification mechanism and historical data, the credibility of the detection result is further improved, so that a solid technical support is provided for security protection of a secret-related environment.

The invention discloses an end-end self-control-based transformer area light storage and charging coordinated regulation and control system and an autonomous method. The system constructs an end-end-transformer three-level autonomous architecture: an end-level autonomous unit is responsible for local millisecond-level reflection control; the edge autonomous nodes realize intra-zone collaboration through federated learning, and physical security constraints are embedded into AI decisions by using digital twin bodies; the court-level federation learning center realizes knowledge sharing under cross-court privacy protection through secure multi-party computing, the method further integrates transfer learning to solve the cold start problem of a new court, and a three-time scale regulation and control mechanism is adopted to cope with disturbance of different rates; the autonomous capability, the response speed, the safety level and the intelligent degree of the system are improved.

The invention relates to the technical field of identity verification, in particular to a conference sign-in bimodal identity verification and data automatic matching system, which comprises a bimodal acquisition module for activating a face image sensor to continuously capture multiple frames of face images, synchronously starting a microphone array to directionally pick up voiceprint information in a voice instruction, and generating an original biological data stream. In the invention, through synchronous acquisition of the face image and the voiceprint information, continuous frame image capture and environmental noise reduction are utilized to ensure that high-quality biological characteristic data is obtained, and verification accuracy is effectively improved. The accuracy of identity recognition and risk assessment is enhanced by sensing contextual information such as conference importance level, sign-in time and physical security level in real time and comprehensively considering behavior characteristics of equipment operated by a user at the same time. In the feature matching stage, a facial key point geometrical relationship and a voiceprint Mel-frequency cepstrum coefficient are extracted, and biological feature comparison is carried out, so that the false recognition rate and the missed recognition rate are reduced.

The invention relates to the technical field of computer information security, in particular to a computer information security protection device, and aims to solve the defects in unknown threat identification, hardware protection, processing efficiency, physical security and emergency response in the prior art. The device provided by the invention comprises a hardware protection module, an intelligent threat detection module, a high-performance data processing unit, a self-adaptive control system and a self-destructive protection mechanism, the hardware protection module realizes data dual encryption through an encryption chip, and provides physical safety protection through a physical isolation unit in combination with a fingerprint identifier and an alarm; the intelligent threat detection module recognizes known and unknown threats by adopting a deep learning algorithm and combining with the dynamic feature database; the high-performance data processing unit supports parallel processing of multiple paths of data streams and ensures efficient data filtering; and the adaptive control system dynamically adjusts a strategy according to the threat level, and triggers a physical isolation or self-destruction mechanism to destroy the sensitive data when the threat level reaches a threshold value.

Disclosed herein are systems for enhancing physical security of a vehicle occupant comprising a holographic projector component; a data repository component; a sensor component; a digital camera component; and a display screen component communicatively connected with the digital camera component. Also disclosed herein are associated methods for enhancing physical security of a vehicle occupant.

The invention belongs to the technical field of information security, and particularly relates to a commercial password evaluation system and method, and the system comprises a protocol dynamic analysis layer, a multi-modal knowledge center, and an evaluation engine. The protocol dynamic analysis layer comprises a protocol grammar feature library used for defining protocol features; the SM-BERT semantic understanding module is used for protocol logic semantic extraction; the multi-modal knowledge center comprises a data modal fusion module used for integrating data and executing cross-modal alignment; the dynamic relation inference engine is used for performing incremental learning, generating association rules and filtering invalid rules; the evaluation engine comprises a multi-modal feature extraction module used for analyzing cipher suite configuration and a secret key life cycle; the compliance rule engine executes national cryptographic algorithm coverage detection and sensitive data protection verification; the physical security enhancement module simulates side channel attacks; according to the method, the problems of a static rule base, data splitting and high misjudgment rate in traditional password evaluation are solved, and the safety and evaluation efficiency of commercial password application can be remarkably improved.

The invention relates to the technical field of large-scale power system safety guarantee and intelligent scheduling, and discloses a new energy power system optimization scheduling method and system, and the method comprises the steps: carrying out the internal processing steps before economic scheduling, and carrying out the self-adaptive correction of a frequency change rate safety threshold value based on the overall completeness of a power defense system, real-time data closed-loop verification is carried out based on a wide-area measurement system, and an inertia contribution constant of a started unit is selected; and then generating a minimum system inertia base line constraint based on the corrected frequency change rate safety threshold and the inertia contribution constant selected after verification, and implanting the minimum system inertia base line constraint into the economic dispatching optimization model for execution. According to the method, a closed-loop information interaction path is established between power system safety analysis logic and an economic dispatching model, and verified physical safety requirements are preposed as constraint conditions which must be obeyed by the economic model.

Techniques are provided for identity-based varied digital human responses. One method comprises obtaining a query, for a digital human, based on an input from a user; obtaining information characterizing permissions of the user based on an identity authentication of the user; obtaining a response to the query from a language model, wherein the response comprises content having an associated access restriction; determining whether the user is authorized to access the content by comparing the permissions of the user to the access restriction; and providing, by the digital human, a response to the user based on a result of the determining. A physical security of an environment of the user and / or a presence of one or more additional users in the environment may be evaluated to determine whether the user is authorized to access the content.

The invention discloses a visitor passing management method based on a commercial building, and the method achieves the centralized management and quick processing through integrating the visitor information of different reservation channels, avoids the repeated input and scattered storage of information, improves the visitor management efficiency, can dynamically adjust the access authority and passing path of a visitor, reduces the manual verification, and improves the management efficiency of the visitor. The access authority is finely managed in combination with a building safety strategy, unauthorized access is effectively prevented, building passing equipment such as a barrier gate, an elevator and an access control is automatically controlled, human errors are reduced, physical safety is enhanced, visitor reservation is convenient and flexible, passing experience is smooth and efficient, in addition, building resources can be reasonably distributed and managed through automatic control, and the safety of the building is improved. According to the invention, the access authority is dynamically adjusted, the open state of the area can be flexibly adjusted according to the flow of people, the building space utilization is optimized, the management efficiency is improved, the building safety is ensured, the resource utilization is optimized, and double benefits are brought to visitors and building management.

The invention relates to the technical field of industrial data processing and resource scheduling, and discloses a garment intelligent manufacturing process dynamic optimization management system based on a large model, comprising an unstructured load waveform semantic analysis module used for receiving a load demand data stream and analyzing to generate a discrete load pulse sequence, calculating a semantic cognitive entropy representing the certainty of the load request; the resource capacity space-time constraint dynamic reconstruction module is used for generating a capacity slack variable based on the semantic cognitive entropy and embedding the capacity slack variable into the resource network load distribution model as a hard physical safety margin parameter; according to the invention, a direct mapping channel from a probability semantic space to a physical resource space-time environment is established, so that the problem of resource allocation mismatch caused by unstructured load fluctuation is effectively solved; and the stability and the self-adaptive balancing capability of the production resource network in dealing with the high-uncertainty load are improved.

The invention discloses an energy power safety dynamic early warning method and system, and a storage medium. The method comprises the steps of constructing a market and physical coupling data pool including a commercial decision instruction, a power grid physical state and a terminal response feature; generating a business instruction concurrency impact feature vector for quantifying the business instruction space aggregation degree and the time synchronization; constructing a physical vulnerability embedding model based on the graph neural network, and dynamically generating a physical embedding vector representing power grid node vulnerability; and inputting the impact characteristic vector and the physical embedding vector into a cross-modal prediction model, and deducing and early warning a power grid physical risk caused by a commercial instruction in a silent period before instruction execution. By establishing the novel mapping relation between market behaviors and physical safety, advanced early warning of cross-domain risks caused by large-scale concurrent commercial behaviors in the silent period is achieved, power grid safety accidents caused by pursuit of short-term economic benefits can be effectively prevented, and the safe and stable operation capacity of a novel power system is improved.

A system for remotely verifying physical security keys and a method thereof are provided. The system includes a physical key, a control device, and a controlled platform. The control device is electrically connected to the physical key. The controlled platform is linked to the control device via digital transmission. The control device sends a verification application message to an application service program linked to the controlled platform through the digital transmission; according to the verification application message, the controlled platform responds to the control device via the digital transmission with a challenge value signing procedure to request a signature; according to the challenge value signature procedure, the control device performs a signature procedure on the physical key to complete verification. In this way, the physical key is remotely authenticated by the control device to achieve the purpose of improving information security.

A method of conducting a client transaction with a portion of a total quantity of certified standard uniform characteristic (SUC) precious metal units held within a physically secure environment is provided. According to the method, a registration system is maintained containing unique precious metal identification information, physically secure location information and lot identification information of precious metal, and one of certification information or de-processing information of precious metal. The method allocates a portion of the certified SUC precious metal units in a first location within the physically secure environment to be associated with a first lot and creates a first private registry with corresponding records associated with the allocated portion of certified SUC precious metal units in the first location. The method authorizes at least one administrative privilege for the allocated SUC precious metal units of a lot for a trusted partner outside of the physically secure environment.

A system and method for placing and configuring physical security sensors & barriers, are described. The system generates and analyzes a three-dimensional model of a customer's premises using non-imaging sensors to determine optimal sensor placement. Based on customer requirements, the system distributes sensor models within the premises while accounting for environmental obstructions, coverage gaps, and redundancy minimization. An extended reality (XR) interface allows users to visualize and refine sensor configurations before deployment. The system integrates AI-driven analytics to optimize surveillance coverage, adjust sensor orientations dynamically, and generate detailed reports outlining sensor locations and configurations. The sensor stand transmits real-time data to the system for continuous monitoring, predictive maintenance, and security threat analysis. The system enhances security planning by reducing design time, installation costs, preventing post-deployment modifications, and ensuring comprehensive monitoring coverage across diverse environments, including commercial, industrial, and critical infrastructure sites.