50 results about "Online security" patented technology

The invention relates to the technical field of power system safety monitoring, in particular to a power transmission line online safety monitoring method, system and device based on quantum communication and a storage medium. The multi-modal fusion sensor synchronously collects multi-parameter electric signal data such as current, voltage and temperature of the power transmission line, and performs quantum encryption instantaneous recording on the data; based on quantum encryption instantaneous record extraction data, a deep learning adaptive Kalman filtering algorithm is combined with a neural network to predict the operation state of the power transmission line; generating a new Manchester code according to the multi-parameter electric signal data and the operation state predicted value, and encrypting by adopting quantum key distribution to generate a ciphertext; and transmitting the ciphertext to a client based on a terahertz communication channel, decrypting and recovering the data through the quantum key, and carrying out safety early warning. Theoretically uncracked data security assurance is realized by using the unclonable characteristic of the quantum state, high-rate data transmission is realized by terahertz communication, and the transformation from passive monitoring to active early warning is realized by a prediction algorithm.

The invention provides an EEPROM (Electrically Erasable Programmable Read-Only Memory) data read-write method and device based on a real-time industrial Ethernet and a medium. The method comprises the following steps: setting an initial offset and an access length of EEPROM access on a target slave station according to EEPROM capacity parameters, and establishing a paging transaction; when the paging transaction is of a reading type, sequentially triggering EEPROM control registers of the target slave station, reading EEPROM data to a buffer area of the master station according to pages from the initial offset, and executing cyclic redundancy check on each page of read data; when the paging transaction is of a write-in type, reading a to-be-written data file into a buffer area of the master station, writing the to-be-written data file into an EEPROM (Electrically Erasable Programmable Read-Only Memory) of a target slave station according to a page sequence from initial offset, and after writing of each page is completed, reading back data of the page and executing cyclic redundancy check; and when all page data of the paging transaction of the reading type or the writing type passes cyclic redundancy check, outputting a transaction completion state to the soft programmable logic controller. According to the method and the device, the technical effects of safely, efficiently and accurately reading and writing the EEPROM on line in batches and ensuring the data consistency can be achieved.

The invention discloses a data center global temperature control optimization method based on online-offline hybrid reinforcement learning, and the method comprises the steps: constructing an interpretable global state space fusing physical information, and guaranteeing that a state variable has a clear physical meaning; a combined action space is defined, and cooperative control of the cold source side and the tail end side is achieved; designing a multi-objective reward function based on physical model driving, and comprehensively considering energy consumption, temperature stability, carbon emission and physical optimization indexes; obtaining a basic security policy through offline pre-training, and extracting reliable behaviors from historical data by using a conservative Q learning algorithm; strategy optimization is achieved through online safety fine adjustment, and gradual adjustment is conducted under multiple constraints to adapt to real-time changes; and finally, deploying an optimization strategy to realize closed-loop control of the system, and establishing a continuous learning mechanism to cope with long-term drift. According to the method, a complete offline-online mixed learning system is established, and the energy efficiency of the data center temperature control system is improved.

Techniques are disclosed to provide enhanced online security. When user authenticating information is provided to access secure content, a network server identifies the user via a website identifier. Some of the disclosed techniques leverage third party “cookie stitchers” to associate user data, which may include a website identifier, to the user's computing devices. If the cookie stitcher cannot identify a current computing device, or if a current website identifier does not match one stored in the user data, then 2-factor authentication (2FA) may be triggered. Other disclosed techniques leverage stored device management data (DMD), which uniquely identifies each computing device that is associated with a website identifier. These techniques allow the network server to block access to explicitly-identified computing devices, and to trigger 2FA unless specific computing device metrics, which are associated with a computing device, are matched to computing device metrics contained in the DMD.

The present application belongs to the technical field of engineering structure health monitoring, and discloses a photovoltaic flexible support cable force non-contact monitoring method and system based on video vibration. First, a cable video sequence is acquired, and a dynamic sensitive area is adaptively divided along the cable image. The time sequence average value of the pixel intensity in each area is calculated, the two-dimensional image information is converted into a one-dimensional vibration time history signal, and the light drift and image noise are suppressed through difference and wavelet denoising. After filtering the signal of each dynamic sensitive area, the initial frequency set is formed by preliminarily extracting the multi-order dominant frequency estimate value. The frequency observations from all areas are fused and analyzed, and the real frequency cluster is identified. The weighted centroid frequency of the cluster is used as the multi-order vibration frequency. Finally, the multi-order frequency is substituted into the model, and the real-time cable force value is output. The whole process of the method does not need to contact the measured cable, and provides an innovative and reliable solution for long-term online safety monitoring of the flexible support cable force in complex environments.

The invention discloses a tobacco elevated warehouse online safety identification system and method based on image identification. The method comprises the following steps: generating a second tray three-dimensional observation data set; a tray multi-view angle feature set is obtained; outputting the multi-view dense feature tensor of the tray; recording the optimized improved conditional implicit neural shape representation model; in the reasoning stage, a tray three-dimensional reconstruction model is generated; performing geometric registration on the tray three-dimensional reconstruction model and a preset tray reference model to obtain a registration difference model, and calculating tray deformation parameters based on the registration difference model; and comparing the tray deformation parameter with a preset tobacco logistics safety threshold value to obtain a deformation judgment result, and generating a warehousing control system instruction according to the deformation judgment result. The method can adapt to trays of different sizes, categories and batches, and dynamic geometric registration and difference analysis with a standard tray reference model are carried out.

The invention relates to the technical field of network equipment management, and provides an automatic network access configuration method and system for data communication equipment, and the method comprises the steps: constructing a network access context object of to-be-configured data communication equipment, and generating an initial configuration file of the to-be-configured data communication equipment; acquiring operation configuration of the to-be-configured data communication equipment in the network access process, and calculating a structured difference coefficient of the operation configuration and predefined target configuration to determine the network access security of the to-be-configured data communication equipment; when the network access security does not meet the preset network access security standard, starting a multi-level configuration rollback process and a configuration repair process of the to-be-configured data communication device to generate a target configuration file of the to-be-configured data communication device; and when the network access security accords with a preset network access security standard, generating a configuration command of the to-be-configured data communication equipment so as to execute network access configuration of the to-be-configured data communication equipment. According to the invention, the configuration efficiency and security of network access configuration can be improved.

The invention discloses a bearing capacity self-adaptive scheduling system and method for a high-proportion new energy power grid, and relates to the technical field of power system scheduling. The system adopts a three-layer structure: a multi-dimensional bearing capacity state generation layer constructs a power grid digital twinborn body which can be updated in a rolling manner, models bearing capacity into a multi-dimensional bearing capacity state variable and maps the multi-dimensional bearing capacity state variable into a bearing capacity constraint parameter, and constructs an operation feasible region; a rolling scheduling optimization decision-making layer establishes a rolling scheduling optimization model of cross-time scale coupling under the uncertainty of new energy output, and generates a scheduling scheme meeting the operation feasible region constraint and the consistency constraint; and the online safety check and feedback layer performs online safety check by adopting an agent model based on the digital twinborn body, outputs a corrected bearing capacity constraint parameter to update the operation feasible region and trigger re-solving, and issues an execution instruction and writes back operation feedback for continuous updating after the check is passed. According to the method, the real-time performance and the scheduling performability of the security boundary description can be improved, and the new energy consumption capability is improved.

An online security analysis system determines a categorical value in an online activity and also determines conversion factors that are associated with the categorical value. Based on the conversion factors, the online security analysis system identifies at least one aggregated value for a numerical feature that is associated with previous online activities for the categorical value. In addition, the online security analysis system generates an embedding vector that describes the aggregated value associated with the categorical value. The embedding vector is provided to an online activity analysis model that is trained to generate prediction data for the online activity, based on the aggregated values associated with the categorical value. The prediction data is transmitted to an online system for use in controlling access of a client device to a function of the online system.

The invention relates to an online insurance system supporting an electronic signature. The online insurance system comprises an online insurance platform, and a client communication device and a first server communication device which are connected with the online insurance platform, the online security platform establishes a video connection between the client communication device and the first server communication device. The first server-side communication device displays a function menu of the signed file, wherein the function menu comprises a plurality of file names respectively corresponding to a plurality of files to be signed and a plurality of function option groups respectively corresponding to the file names. The display frames of the client communication device and the first server communication device are divided into a video image area and a file image area. When a client signs in a signature frame displayed by the client communication device, the client communication device and the first server communication device display the signature track of the client, and the signature column of the to-be-signed file applies the signature image, so that the signature of the to-be-signed file is electronized under the condition of considering the security, and the convenience of operation is effectively improved.

The invention discloses a member leakage risk assessment method and system for a retrieval enhancement generation system based on a small amount of queries. Under the black box condition, according to the target member document, generating a plurality of queries with equivalent semantics and diverse syntaxes by the auxiliary large language model, submitting the queries to a target retrieval enhancement generation system, and collecting responses; the response is encoded as a sentence vector, an average pairwise similarity is calculated and a rejection response is identified to apply a penalty, and a final risk assessment score is synthesized and compared with a threshold to assess the likelihood of the target document as a knowledge base member. The method is implemented under the complete black box condition, does not depend on the internal architecture or parameter information of the system, is low in query overhead, is easy to calibrate, and is suitable for compliance auditing, red team evaluation and security detection before online, so as to quantify the member privacy leakage risk and guide a protection strategy.

The application discloses a strong identity authentication method and application thereof in online securities business, belongs to the technical field of identity authentication, and is used for improving the identity authentication capability of securities companies on online securities system users, including authentication strength and authentication efficiency, and providing reliable technical support for securities business and customer service on the basis. The identity authentication method is a limited condition authentication method, is realized by fusing the resources of securities companies, banks and operators, needs three-party deposit binding of investors on a bank account, and reserves and uses the same mobile phone number in the securities company and the bank. The identity authentication method can comprehensively cover various SIM card and non-SIM card terminals such as mobile phones, PCs and pads and multi-SIM card application situations, and is universally applicable to various online securities business scenes.

The utility model discloses a safe heat insulation device for on-line replacement of a small coke oven grinding plate, which relates to the technical field of coking production process, and comprises a support, a working platform, a heat insulation plate and an upper baffle, the working platform is fixedly connected to the middle of the support so that an operator can stand on the working platform to replace the small coke oven grinding plate; the heat shielding plate is fixedly connected to one side of the top of the bracket so as to extend into the furnace body to isolate heat of the furnace body; the upper baffle is used for being fixedly connected to the top of the support so as to prevent fallen coke from hitting the body of an operator in the operation process, the structure is simple, use is convenient, and online safe and rapid replacement of the small grinding plate of the coke oven is effectively guaranteed.

The application discloses a kind of user password online security storage and access method and system, steps are as follows:1.system initialization: user end generates homomorphic encryption public key and symmetric encryption key;2.password storage: user end generates unique correlation factor for the account to be stored, encrypts correlation factor with homomorphic encryption public key to obtain correlation factor ciphertext, encrypts password with symmetric encryption key to obtain password ciphertext, and the both are stored in server in association;3.password acquisition: user end encrypts target account correlation factor and sends server, server homomorphic operation after it with the correlation factor ciphertext stored is returned, and user end decrypts operation result to obtain target password ciphertext, and then decryption obtains target password.The application can realize that password is invisible in server, there is no plaintext in transmission link, avoid the effect that access behavior leaks password, improve the security of password storage and access efficiency.

The application discloses an atmospheric storage tank bottom plate online micro-leakage and corrosion integrated detection method based on acoustic emission-vibration fusion, and belongs to the technical field of atmospheric storage tank nondestructive detection and online safety monitoring. The application realizes non-stop production, non-tank cleaning and non-invasive signal and temperature synchronous acquisition by arranging an acoustic emission-low-frequency vibration-temperature integrated annular sensing array at the lower part of the tank wall; noise reduction processing is carried out based on environmental noise baseline by using a wavelet packet and adaptive filtering hybrid algorithm; the signal propagation speed is automatically compensated and corrected by the environmental temperature; repeated alarm signals are removed by layered event clustering; a bimodal fusion feature vector is constructed and input into an intelligent identification model to realize the distinguishing identification of active corrosion and micro-leakage defects; the spatial positioning of defects is completed by using bimodal weighted time difference positioning, and a corrosion rate prediction model is established to realize defect quantitative evaluation, trend analysis and risk classification. The application effectively solves the problems of traditional detection, such as production stoppage, tank cleaning and anti-interference capability.

This invention discloses a user-space virtual output queue and traffic weaving scheduling method and system, belonging to the field of network switching and programmable data plane technology. It generates a set of scheduling attributes through data plane classification, maps them to virtual output queue identifiers, constructs corresponding queues in user space to complete enqueueing, and executes scheduling and allocation according to a preset strategy. It supports switching between multiple modes, including bypass, shadow observation, and active scheduling, and simultaneously realizes hot update state migration and gray-scale switching of data plane module chains. It also dynamically optimizes operating parameters based on statistical feedback. This invention solves the core problems of existing technologies, such as strong reliance on hardware queues for scheduling capabilities, disconnect between software queues and data plane classification, poor consistency of hot updates of data plane modules, and high risks associated with deploying new strategies. It significantly reduces hardware dependence, achieves fine-grained traffic scheduling on ordinary network interface cards, and improves the deployment flexibility, online security, and operational stability of data plane systems. It is suitable for various scenarios such as edge switching, quality of service control, and traffic isolation.

A power distribution network online security analysis, early warning and auxiliary decision method and system, comprising: collecting multi-source graph model data and real-time operation data of main network, distribution network and microgrid, identifying the topological connection relationship of power grid equipment based on graph theory algorithm, and dynamically maintaining through incremental updating algorithm to construct full-voltage-level power grid topology full graph; performing base state power flow calculation and static N-1 safety analysis on the topology full graph, identifying the risk of section overrun and equipment overload, and generating an enhanced topology full graph with risk level, type and trend by using a load prediction model; based on the enhanced topology full graph, the dynamic adaptive fault credibility evaluation model is used to determine the fault point by fusing the topological influence factor, the operation risk trend factor and the equipment health degree attenuation factor. The application realizes the global dynamic presentation of the power grid structure, and improves the fault positioning accuracy and disposal efficiency.

This invention provides a real-time online security assessment and post-processing method for quantum entropy sources based on FPGA. It includes constructing a real-time quantum conditional minimum entropy assessment module and a Toeplitz hash post-processing module with dynamically configurable matrix size within the FPGA. These two modules run in parallel, performing real-time minimum entropy calculation and random number extraction on the raw quantum random signal acquired by the analog-to-digital converter. The matrix size parameter of the post-processing module is calculated and updated in real-time based on the real-time minimum entropy value, adaptively matching the extraction ratio with the entropy source quality. This invention achieves uninterrupted parallel processing of entropy assessment and random number generation, real-time detection of entropy source fluctuations and adjustment of the extraction ratio, effectively resisting environmental interference and malicious attacks, and significantly improving the security and reliability of quantum random number generation.

The invention discloses an intelligent regulation and control method for a photovoltaic power generation system, and relates to the technical field of intelligent power systems and automation thereof. A meta-reinforcement learning controller can learn and adjust a strategy from a small amount of new data through multi-task source domain training and target power grid rapid adaptation; uncertainties such as power grid topology change and load fluctuation are effectively dealt with, and dependence on historical data is reduced, so that control delay or oscillation is avoided under extreme working conditions; the on-line security layer maps candidate control actions to a feasible region meeting a voltage permission range, inverter capability limitation and change rate constraint through action projection, ensures that the operation is always in a security boundary, and prevents a collapse risk caused by voltage out-of-limit; robustness is further enhanced by a rollback logic and event detection mechanism, a local strategy is seamlessly switched when communication is abnormal or a sudden change event occurs, and system stability is maintained.

The application discloses a method and system for online splicing of medium and low voltage network data based on power flow adjustment. Through offline station identification and network topology analysis, each medium and low voltage network and its boundary branch in offline mode data are identified. Based on the correspondence between online equipment and offline equipment, the measured data is used to correct the node injection power of the medium and low voltage network, and the medium and low voltage network data to be spliced is obtained through power flow adjustment. By modifying the topology information of the boundary branch, the medium and low voltage network data after power flow adjustment and online data are spliced together to generate full network data meeting online security and stability analysis, thereby improving the completeness of online security and stability analysis basic data and the accuracy of online security analysis calculation results.

The application discloses a kind of multi-agent formation generation and control method based on distributed security affine transformation, to solve the problem that multi-agent system is difficult to consider formation geometry maintenance and safety obstacle avoidance in complex obstacle environment. First, introduce parameter level control barrier function, directly impose safety constraints in affine parameter space, to ensure that the generated reference formation is theoretically collision-free;Second, construct a distributed optimization problem based on safety constraints and consistency constraints, use distributed algorithm to make all agents reach consensus on public affine parameters, so as to produce coordinated and consistent formation deformation;Finally, use the quadratic programming controller of agent-level CBF as the bottom controller, track the generated safety reference trajectory. Through double-layer safety architecture, the application realizes online safety generation of reference formation and accurate tracking of actual motion, effectively improves the formation keeping ability and task execution efficiency of multi-agent system in chaotic environment.

The invention discloses a user password online secure storage and access method and system. The method comprises the following steps: 1, system initialization: a user side generates homomorphic encryption public and private keys and a symmetric encryption key; 2, password storage: the user side generates a unique association factor for a to-be-stored account, encrypts the association factor by using a homomorphic encryption public key to obtain an association factor ciphertext, encrypts the password by using a symmetric encryption key to obtain a password ciphertext, and associatively stores the association factor ciphertext and the password ciphertext in the server side; and 3, password acquisition: the user side encrypts the target account association factor and sends the target account association factor to the server side, the server side performs homomorphic operation on the target account association factor and the stored association factor ciphertext and then returns the target account association factor and the stored association factor ciphertext, and the user side decrypts an operation result to obtain a target password ciphertext and decrypts the target password ciphertext to obtain a target password. According to the invention, the password is invisible at the server side, no plaintext exists in the transmission link, the password is prevented from being leaked by the access behavior, and the security of password storage and the access efficiency are improved.

The invention relates to the technical field of intelligent navigation, in particular to a self-adaptive intelligent navigation system based on depth information and online incremental learning, which comprises a multi-mode self-adaptive perception and fusion module, an uncertainty-driven online safety learning engine and swarm intelligent update. According to the method, advantage complementation and robustness improvement of perception capability are realized, catastrophic forgetting is effectively resisted, safe and stable lifelong learning is realized, encryption is carried out during transmission, Gaussian noise subjected to sensitivity calibration is added to model updating before a local model is uploaded, and meanwhile, a MomentsAccount mechanism is used for accurately accumulating and controlling long-term privacy consumption.

This invention discloses a method, system, equipment, and medium for safe collaborative navigation of AGVs in port multimodal transport, including: constructing a constrained Markov decision process model; real-time acquisition of global state to construct a dynamic physical perception map mapping vehicles and obstacles; each AGV outputs initial actions based on local observations through a policy network, and corrects high-risk actions according to safety thresholds to obtain the final execution command; executing actions and acquiring state transition and feedback data, storing them in an experience replay buffer; after dynamic graph encoding, sampled samples are input into a dual-stream value network to evaluate task rewards and safety costs respectively; based on the evaluation signals, a constrained reinforcement learning algorithm is used to iteratively update the policy, value network, and constraint parameters until convergence, and finally deploying the policy network to achieve online safe collaborative navigation of multiple AGVs. This invention significantly improves the system's safety reliability, scalability, and operating efficiency.

A KID's computer system is configured by PARENT-controlled software, giving each PARENT the power and responsibility to control the social media content being presented to their KID. The PARENT prescribes the criteria for action to be taken; and the PARENT prescribes the action to be taken by the KID's computer system. The PARENT-prescribed criteria comprises a list of BAAE-type states, e.g., emotional state. If one of these states is induced in the KID when they accessed the content from a Social Media Platform, then it triggers a PARENT-prescribed action. The list of possible PARENT-prescribed actions comprises at least the following: blocking the content, informing the KID, the PARENT, the Social Media Platform, School Authorities, Law Enforcement, Health Authorities of the KID's state, and archiving the event-data. The archived event-data is analyzed to discover harmful behavior patterns, e.g., lack of self-control, exhibited by the KID vis-à-vis social media content.

In a system comprising a client providing a service to a plurality of client devices, a method and system for providing a client-specific digital certificate to one of the client devices is described. The method comprises receiving, at an intermediate certification authority, a previously generated digital certificate and an encrypted client device private key encrypted according to a PrKEK private key encryption key; receiving, from the client device, a request for the client-specific digital certificate; the request comprising information identifying at least one of the client devices and information identifying the client; the request signed according to a previously provided client device digital certificate; and transmitting the client-specific digital certificate and the encrypted client device private key to the client device.

The application discloses a substation live operation automatic execution method and system based on an embodied robot, relates to the technical field of robot automatic control, and comprises the following steps: acquiring sensing data streams of target equipment and an environment through a multi-source sensor, and performing fusion processing to generate environment understanding data; secondly, based on the data, a job safety boundary and an operation intention are cooperatively analyzed, a dynamic operation path instruction set is planned and optimized; then, the path instruction is converted into a robot joint control sequence through inverse kinematics solving; finally, a preset live operation is completed by driving an execution mechanism, and an execution state is monitored in real time to perform online safety correction. Through the above method, autonomous perception, intelligent planning and precise control of the robot job in a complex live environment are realized, and the safety, automation level and job efficiency of the operation are effectively improved.

The application discloses a kind of safety state evaluation model construction and evaluation method, device, medium and equipment, the construction method includes: based on state monitoring index system extraction multiple electric power mobile terminal in each shop mobile terminal in normal operating state monitoring index data and abnormal operating state monitoring index data;Respectively quantifying monitoring index data, obtain positive sample set and negative sample set;Based on positive sample set and negative sample set training AdaBoost algorithm corresponding classification framework obtains electric power mobile terminal safety state evaluation model.Through implementation of the application, while considering physical class, system class, data class, application class, network class and other general mobile terminal safety indexes, environmental class and historical reliability index are added, and on this basis, electric power mobile terminal safety state evaluation model is established by combining AdaBoost algorithm, and the online safety state evaluation of electric power mobile terminal is realized.

The application discloses an intelligent regulation and control method for a photovoltaic power generation system, relates to the field of intelligent power systems and automation technology, and has the advantages that the meta-reinforcement learning controller is trained by multiple task source domains and quickly adapts to a target power grid, can learn and adjust strategies from a small amount of new data, effectively deals with uncertainties such as power grid topology changes and load fluctuations, reduces the dependence on historical data, and thus avoids control delay or oscillation in extreme working conditions; the online security layer maps the candidate control action to a feasible domain that meets the voltage permission range, the inverter capacity limit and the change rate constraint through action projection, ensures that the operation is always within the safety boundary, and prevents the collapse risk caused by voltage out-of-limit; and the rollback logic and event detection mechanism further enhance the robustness, seamlessly switch to the local strategy when communication is abnormal or a mutation event occurs, and maintain the stability of the system.