161 results about "Physical security" patented technology

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 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 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.

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.

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.

The invention discloses a hydrogen energy network node arrangement method by utilizing traffic data and gas pipe network data, which comprises the following steps of: firstly, acquiring the traffic data and the gas pipe network data of a target area, performing preprocessing and unified mapping, mapping data from different sources to a unified network node space, and constructing a node multi-dimensional feature data set; determining a candidate space, executing principal component analysis to extract coupling structure feature components, and executing clustering analysis to form node types; constructing an operation scene set containing operation condition changes, constructing a robust optimization model under the scene set, and adopting a maximum and minimum criterion for solving; and outputting a node arrangement scheme which continuously meets the physical security constraint and meets the robustness requirement under the scene set. The method is suitable for hydrogen energy network planning and infrastructure configuration in different areas and under different operation conditions.

A rack level cage physical security system with magnetic sensor shield is described herein. The rack level can be a physical security system that can include a rack cage, a body defining an internal volume that can contain at least one server, a door coupled to the body and moveable between an open position and a closed position, and a magnetic securement system that can prevent an external magnetic field from affecting a magnetic switch. The internal volume of the body can be accessible via the door when the door is in the open position.

The embodiment of the invention relates to the field of medical treatment, and discloses a medical equipment system-oriented concurrency control method, system, equipment and product, and the method comprises the steps: receiving a control request from an external control end through a multi-thread concurrency channel, and analyzing the control request into a standardized intermediate format instruction; reading the standardized intermediate format instruction through a single serial channel, and performing logic interlocking arbitration on the instruction according to a preset global treatment state machine; when logic interlocking arbitration is passed, disassembling the standardized intermediate format instruction into a bottom atomic action sequence; distributing the atomic action sequence through a multi-thread parallel channel, and carrying out physical security verification on the atomic action sequence based on hardware physical constraint conditions before driving the medical equipment to execute actions; only when the physical safety verification is passed, the control signal is output to drive the medical equipment to execute the action, so that accurate transmission and execution of the control instruction in a complex clinical scene are ensured.

The application discloses a kind of based on real-time bearing capacity state of electric vehicle distribution network light storage and charging resource inner day rolling self-adaptive scheduling method, system, equipment and storage medium, it is related to distribution network optimization scheduling and operation control technical field, including in each rolling time of inner day scheduling, on-line evaluation distribution network to electric vehicle charging load dynamic accommodation space, based on dynamic accommodation space generation real-time can add charging load margin index;According to the state of safe interval where real-time can add charging load margin index is located, drive scheduling decision to carry out autonomous switching between scheduling mode;Solve the scheduling instruction sequence under the scheduling mode after switching and execute the scheduling instruction of current rolling time, after a scheduling step is ended, time window is promoted and system state is updated.The method disclosed in the application significantly improves the upper limit of physical safety defense of new distribution network, operation flexibility and the physical stability of closed-loop rolling control.

Providing data protection by distributing backup data among a large plurality of distributed devices. A number of networked devices are deployed to protect data of a target device in the network. Each device of contains memory sufficient to store at least a portion of backed up data from the target device. Index information for backup data of the target device stored in each device. A cyber-attack condition is detected by a heartbeat or canary signal. Upon detection of an attack the devices enter a lockdown mode. The index information is used to reconstruct the backed up data from the portion of backed up data stored on each respective device.

This invention belongs to the field of spectrometer control technology and discloses a cloud-edge hierarchical collaborative spectrometer safety self-regulation system and method, comprising: an edge real-time control module, configured as a micro-execution layer, communicating with the spectrometer's hardware driver interface, for receiving macro-strategy packets containing the working range sent by a large model agent, and performing high-frequency pulse closed-loop control on the spectrometer within the working range; a large model agent, asynchronously communicating with the edge real-time control module, configured as a macro-decision layer, for receiving experimental targets and generating macro-strategy packets; and a safety sandbox interceptor, serially set on the communication link between the large model agent and the edge real-time control module, for performing boundary checks on the macro-strategy packets based on safety thresholds, and intercepting the macro-strategy packets when the check fails. The safety thresholds include the sample's safety threshold and the physical safety boundary. This enables extremely rapid response and safety protection for spectrometer control.

Example implementations include a method, apparatus, and computer-readable medium for configuring a device in a physical security system via an open architecture. The device receives a command from an application via a publish-and-subscribe broker. The command includes: a type field indicating the command, a source field indicating the application, a timestamp, and a payload including a list of objects, each object including one or more parameters defined by a field name, a datatype, one or more possible values, and a mandatory status. The device transmits an event message to the application via the publish-and-subscribe broker, the event message includes a type field identifying the event message, a source field identifying the device, a timestamp, and a payload including a type field identifying a type of event.

The application provides a computer convenient to disassemble a shell, and relates to the technical field of computers, which comprises a folding mechanism, the folding mechanism is connected through the internal hole and the internal spring, the magnetic block and the magnetic attraction block in the head block and the tail block, and the transmission connection of the bidirectional sleeve, the bidirectional spring, the ball sleeve and the double ball rod, so as to realize the bending guide when the head block enters and exits the fixed groove and the linear reset after reaching the position, and the unlocking mechanism is connected through the internal slot, the internal block, the push spring, the pressing plate, the handle slot and the external magnetic rod in the bidirectional sleeve, so as to realize the authorized disassembly that needs to be triggered by an external tool and the operating part is exposed before force is applied to release the lock, the computer can be automatically locked only by pressing when the side plate is installed, and the external tool must be used and the specific steps must be operated when the computer is disassembled, so that the safety hazard that the traditional bolt fixing mode is inconvenient to disassemble and anyone can disassemble at will is effectively solved, and the installation and maintenance efficiency and the physical safety of the equipment are significantly improved.

This invention discloses a method for proactive defense and resilient reconfiguration of distribution networks integrating spatiotemporal graph neural networks, belonging to the field of distribution network cyber-physical security. This invention aims to address the limitations of traditional passive defense methods in responding to spatiotemporally coordinated FDIA attacks and their insufficient reconfiguration resilience. First, a spatiotemporal graph model of the distribution network's CPS is constructed, and a spatiotemporal graph neural network is used to predict the FDIA attack probability vector. Second, an incomplete information stochastic game model is constructed, using the probability vector as the observation input to solve for the optimal defense resource deployment strategy. Finally, a multi-objective resilient reconfiguration model is constructed with the objectives of maximizing source-load spatiotemporal matching and restoring critical loads. A deep reinforcement learning algorithm is used to solve for the optimal switching sequence based on the game situation or physical state. This invention can effectively predict and defend against spatiotemporally coordinated attacks, significantly improving the proactive defense capability and operational resilience of the distribution network.

The invention provides a graphics processing unit (GPU) packaging body and a safe starting method thereof, and the method comprises the steps: packaging a first nonvolatile storage region in which immutable basic function firmware is stored, a second nonvolatile storage region in which updatable complete function firmware is stored, a firmware verification module and a system management module in a GPU chip together; therefore, the basic function firmware and the complete function firmware cannot be directly accessed from the outside of the GPU chip physically, and the physical security is ensured. The basic function firmware can realize the basic function of the GPU and cannot be modified externally, so that the physical security of the basic function firmware is further ensured. The complete function firmware can realize complete functions of GPU hardware acceleration, 3D display rendering and the like. When the GPU is started, the firmware verification module verifies the complete function firmware, if verification fails, the system management module at least can load and execute the basic function firmware, and the basic function firmware is enough to guarantee the basic display function of the GPU.

The invention discloses a virtual power plant gradeability dynamic approval method based on AGC performance indexes, and relates to the technical field of virtual power plant scheduling and power system control. The method comprises the following steps: performing phase-space reconstruction on distributed resources to extract chaotic features and generate a basic climbing feature set; generating a multi-source node power distribution manifold by using an optimal transmission theory; the AGC index is converted into a dynamic repulsion potential field based on a control barrier function, and an optimal response strategy is solved in a manifold through multi-agent reinforcement learning; and calculating the power fluctuation fatigue damage degree by using a rain flow counting method, and dynamically reducing the residual available capacity. The method is used for solving the problems that traditional static approval is low in precision, massive resources respond to phase distortion, AI regulation and control lacks physical security constraints, and scheduling default is caused by the fact that service life attenuation of equipment under the high-frequency frequency modulation working condition cannot be sensed.

The application discloses a kind of physical-data fusion under double time scale active distribution network voltage optimization control method, belong to electric power technical field.For solving the problem that existing single time scale regulation ability is limited, data-driven method lacks physical security guarantee and fast and slow regulation equipment is insufficient in cooperation, the application constructs double time scale operating state, and slow time scale state is introduced into fast time scale to form extended state;In slow time scale, structural regulation instruction is generated based on physical model and voltage safety operation boundary is determined;In fast time scale, candidate regulation instruction is generated by data generation based on extended state;The safety of candidate instruction is predicted and corrected online through physical model, and the final regulation instruction meeting the physical safety constraint is generated;After executing final instruction, update operating state and feedback to fast and slow scale, form closed-loop control.The application realizes the safe, stable and efficient collaborative control of active distribution network voltage.

This invention discloses a payment system and method based on a TEE (Trusted Execution Environment) and a Bluetooth-enabled digital currency hardware wallet. The method includes a mobile smart terminal and a Bluetooth-enabled digital currency hardware wallet. The mobile smart terminal includes a Rich OS (operating system) and a Trusted Execution Environment (TEE) OS running in parallel. A digital currency wallet management app runs on the Rich OS, integrating a digital currency wallet SDK. A digital currency wallet TA (Trusted Execution Environment) runs on the TEE OS. The Bluetooth-enabled digital currency hardware wallet includes a security chip control module, a communication interface connected to the security chip control module, and a power control module. The communication interface includes an NFC module and a Bluetooth module. A pre-installed line protection key exists between the Bluetooth-enabled digital currency hardware wallet and the digital currency wallet TA. This invention utilizes the TEE function of the mobile smart terminal to achieve trusted human-computer interaction, combined with the physical security features of the Bluetooth-enabled digital currency hardware wallet, to achieve low cost and high security.

The invention is applicable to the technical field of energy storage performance evaluation, and provides a multi-dimensional safety performance evaluation method and system for a sodium-ion battery energy storage system, and the method comprises the steps: obtaining physical image data and electrochemical sensor data of the sodium-ion battery energy storage system; processing by using the target detection model to obtain a physical safety risk refinement index, and processing by using the time sequence analysis model and the risk prediction model to obtain an electrochemical safety risk refinement index; adopting subjective and objective dynamic collaborative weighting to distribute weights, and performing first-layer fusion to obtain a physical safety risk index and an electrochemical safety risk index; carrying out second-layer weighted fusion to obtain a system safety performance index; and generating a safety control instruction for the sodium ion battery energy storage system based on the physical safety risk index, the electrochemical safety risk index and the system safety performance index. According to the invention, the comprehensiveness of safety monitoring of the energy storage system, the real-time performance of early warning, the accuracy of evaluation and the intelligence of control are effectively improved.

The application discloses a kind of intelligent agent deployment device and method based on USB interface.The device includes USB interface unit, processing unit, storage unit and memory unit.Processing unit independently runs a lightweight operating system and starts pre-installed intelligent agent service;After service initialization is completed, it is presented as a composite USB device to host through USB interface, including virtual network card interface and mass storage interface.Host is identified by standard USB device class driver free drive, and user can access intelligent agent service through browser, and read output file through resource manager.Memory unit is physically isolated from USB bus address domain through MMU in processing unit, and only shared buffer can be accessed by host.The application realizes hardware-level physical security isolation and free plug-and-play intelligent agent deployment.

The present application relates to the technical field of high-speed toll station operation and maintenance management, and particularly relates to a smart cloud warehouse risk evolution evaluation system and method based on digital twinning. The smart cloud warehouse risk evolution evaluation system based on digital twinning comprises four functional layers, namely, a perception execution layer, a twinning base layer, an evolution evaluation layer and a strategy feedback layer. Through a toll space-time constraint violation judgment mechanism and a risk ripple evolution model, the present application can prospectively identify and warn of the risk of "implicit logic breakage". The present application uses a shadow executor to pre-act on the instructions issued to the physical entity in the twinning space, eliminates the control uncertainty caused by network delay, dynamically adjusts the edge node operation parameters or reconstructs the business path through a self-healing configuration interface, ensures the accurate execution of control signaling within the physical safety window, reduces the safety risks such as pole collision and toll loss of the smart cloud warehouse, and improves the physical certainty and safety of remote operation of the smart cloud warehouse.