1055 results about "Security check" patented technology

In accordance with embodiments of the present disclosure, a method for conducting secure financial transactions uses a model-based reflex agent to ensure real-time authorization, anomaly detection, and risk assessment. The agent receives transaction-related data, maintains an internal state reflecting observed and inferred conditions, and applies condition-action rules to determine appropriate actions, such as authorizing payments, triggering multi-factor authentication, or halting transactions. The agent dynamically updates its internal state based on feedback, adapts to changes using machine learning, and ensures compliance through audit logs. This approach enhances security, minimizes fraud, and provides seamless, adaptive processing for financial transactions in dynamic environments.

The invention discloses a gas user intelligent safety inspection system based on the Internet of Things. According to the invention, through a multi-stage intelligent decision-making mechanism, the active protection capability of gas safety management is significantly improved. A traditional alarm system depends on single sensor threshold triggering, is susceptible to environmental interference and lags in response, while the system can accurately distinguish scenes such as real leakage and cooking interference by fusing multi-dimensional data such as gas concentration, temperature and flame and combining a user behavior mode to dynamically evaluate a risk level. For example, when it is detected that the gas concentration is abnormal but not accompanied by sudden temperature rise or a flame signal, the system automatically lowers the alarm level and only pushes prompt information; and when high-risk leakage is confirmed, the valve is immediately closed in a linkage mode, exhaust equipment is started, synchronous early warning is conducted through multiple channels such as telephones, short messages and a community platform, and it is ensured that the user and rescue strength respond in the golden time.

The invention discloses a method for realizing SQL (Structured Query Language) grammar conversion of different databases based on middleware and the middleware, belongs to the technical field of databases, and aims to solve the technical problem of how to realize SQL grammar conversion of different databases through the middleware. The following operations are executed through the middleware to realize the grammar conversion of the SQL between the source database and the target data constructing an abstract syntax tree AST by taking various SQL elements as nodes; operating nodes in the AST on the basis of requirements of a target database; based on the data type in the target database, performing data type mapping by applying a data type conversion rule, and generating an SQL statement adapted to the target database; performing security check on the generated SQL statement; caching the query result and the generated SQL statement based on a caching mechanism; and recording the conversion process and query processing of the SQL statement.

The invention relates to the technical field of automatic guided vehicles, in particular to an AGV cluster scheduling method and system, and the method comprises the steps: converting multi-source order information into a standard order format, generating an order priority based on the time urgency, order source weight, material importance and historical distribution evaluation, and creating a distribution task; meanwhile, obtaining a distribution constraint condition, performing feasibility analysis on the distribution task, and generating an executable task; according to the AGV state information, the most suitable AGV is selected to execute an executable task through a multi-dimensional attribute matching mechanism; monitoring the execution state of the AGV in real time, and when an abnormal state is detected, storing the context of the task and reselecting the AGV to continue to execute the task; a scheduling instruction is generated, the scheduling instruction is safely packaged and sent to the target AGV, and the target AGV executes a task after executing multi-level safety verification on the received scheduling instruction; and through a multi-source order intelligent fusion mechanism, unified processing of different channel orders is realized, and the service adaptability of the system is improved.

The invention discloses a power distribution network first-aid repair operation safety check scheme generation method and system and a related device. The method comprises the steps that a power distribution network first-aid repair operation safety check document is read and subjected to segmentation processing to form a plurality of text blocks; converting the text blocks into vectors through an embedded model, and storing the vectors into a power distribution network emergency repair operation safety inspection knowledge base; obtaining an input query problem, converting a query problem text into a problem vector through an embedded model, filtering and screening the problem vector by using the power distribution network metadata, and calculating the similarity between the filtered and screened problem vector and a vector in a power distribution network emergency repair operation safety inspection knowledge base by using a similarity measurement method; selecting a target vector construction prompt word from the power distribution network first-aid repair operation safety inspection knowledge base; and splicing the input query question and the prompt word as the previous text by using the large language model, and generating an answer. According to the method, retrieval and generation are combined, the retrieval data correlation is improved through power distribution network metadata filtering, and the effect of a large language model in scheme generation is enhanced.

The invention relates to the technical field of operation and maintenance automation, and provides an operation and maintenance field professional question and answer and diagnosis Agent design method and system, and the method comprises the steps: receiving and structurally analyzing an original query request of a user, carrying out the parameter validity check and safety verification, and extracting the query content and a session identifier; identifying task types through an intention classification algorithm based on the pre-training language model and performing content risk assessment; performing semantic extension on the query to generate an extended query word, performing similarity matching in the operation and maintenance knowledge base by using a hybrid retrieval algorithm, and fusing related knowledge fragments; inputting the enhanced query information and the task type into an inference engine for intelligent inference to obtain a diagnosis result; the reasoning result is stored in a historical memory library, and session context state information is updated; and performing formatting processing and security check on the reasoning result, packaging the result and context information, and outputting a standard response result. According to the method, the accuracy and the intelligent level of operation and maintenance professional question answering and diagnosis are improved.

The invention discloses a security check door security check process optimization scheduling system and method based on big data, and belongs to the technical field of intelligent security check, a whole security check area is divided into a plurality of functional areas and mapped into network nodes according to security check process links and physical space distribution, directed edges among the nodes represent passenger flow paths, and the flow paths of passengers are distributed in the network nodes. A weight matrix of edges is calculated through historical flow data, and a security check area network topology model is constructed; fusing ticket business, historical security check and real-time sensor data, constructing a load evaluation model, and calculating a node load index and an influence conduction coefficient; based on passenger ticket business time and historical behavior records, establishing a time urgency index and risk level model, and forming a two-dimensional decision matrix to dynamically divide priorities; constructing and training a congestion propagation model, predicting a future congestion path in combination with priority distribution, and identifying bottleneck nodes; and according to a prediction result, cooperatively implementing a grooming strategy from four dimensions of personnel, channels, equipment and processes.

A network device may receive one or more first user inputs in a security gateway creation user interface (UI) provided by a controller. A network device may query, by the controller, the CSP using Application Programming Interfaces (APIs) to retrieve information about applications within the at least one virtualized network environment including any services deployed within the at least one virtualized network environment. A network device may present a security status user interface that identifies the at least one virtualized network environment applications configured in the CSP account and a respective status indicating whether the at least one virtualized network environment is protected by the security gateway. A network device may receive a second user input within the security status user interface, the second user input is effective to enable protection of the at least one virtualized network environment by the security gateway.

The invention discloses a general cargo transportation background business management system and method and electronic equipment, the system comprises a data acquisition module, an information management module, a position tracking module and a scheduling management module, and automatic acquisition of cargo position, attribute and safety inspection information is realized through an integrated sensor, an RFID tag technology and an image identification device; the GPS positioning and local wireless network complementary correction technology is utilized to break through the positioning precision limitation in the indoor and outdoor complex environment; based on a distributed database and a real-time data processing engine, high-concurrency query and dynamic information updating are supported; in combination with cargo state and position data, an optimization scheduling instruction is generated through an algorithm, empty driving waiting of loading and unloading equipment is reduced, the method covers intelligent scheduling processes of multi-source data acquisition, standardized processing, real-time tracking and cloud driving, full-life-cycle automatic management of cargos is realized, and electronic equipment realizes full-life-cycle automatic management through a software and hardware collaborative architecture. An existing port management system is compatible, and deployment cost is reduced.

The invention relates to the technical field of air conditioning system control, and discloses an airport terminal air conditioning system control method, device and equipment. According to the invention, by combining the number of passengers in any target area in the nth sub-areas of the check-in hall, the security check area and the waiting hall in the preset time period and the load demand parameters of the air conditioning system in the target area in the preset time period, the change of the passenger flow volume in the airport station building can be flexibly adapted; and the regulation and control mode of the corresponding air conditioning system is correspondingly adapted, so that the air conditioning system of the target area is precisely regulated and controlled, and finally the energy consumption of the air conditioning system of the airport terminal is saved.

The invention discloses an AI agent data protection method and device based on a controlled execution environment, and the method comprises the steps: verifying the integrity of a safety decision monitoring module in each service node kernel of a cloud side through a remote authentication service in a trusted execution environment, and verifying whether the service nodes of the cloud side are all operated in the trusted execution environment or not; the starting environment is safe and credible; the cloud side receives the security configuration from the user side and distributes the security configuration to the security decision monitoring module of each service node; firstly, security check is executed on a service request to be sent by an AI agent, the service request is received by a cloud side service node after compliance, and a security decision monitoring module of a cloud side gateway service node intercepts a received network packet and judges whether the service request is normal traffic; when other service node services of the cloud need to be called, continuing to judge whether the traffic meets the security configuration configured by the user; and the security decision monitoring module is established based on an eBPF and is used for intercepting a received or sent network packet and realizing verification and auditing functions.

The invention discloses a scheduling method for airport passenger security check channel resource optimization. The method comprises the following steps: constructing a security check channel model; defining security check channel efficiency indexes; calculating a security check channel passing rate under each scheduling scheme; a security check resource multi-objective optimization model is constructed, multi-index balance optimization is used, and resources are reasonably allocated through a dynamic optimization-oriented resource allocation optimization algorithm; constructing a target function; and setting constraint conditions: solving the target function by using a deep reinforcement learning algorithm, and outputting an optimal opening scheme of each security check channel and a security check personnel scheduling scheme in each time period. Compared with the prior art, the method can comprehensively reflect the operation condition of each link of the security check system, improves the precision and practicability of dynamic resource scheduling, can dynamically respond to the fluctuation of passenger flow in each time period to realize flexible resource scheduling, supports multi-objective optimization, can adaptively output an optimal decision through the dynamic characteristics of a learning environment, and is suitable for popularization and application. The method has high practical value and wide application prospect.

The invention relates to the technical field of data processing, in particular to an operation and maintenance object information query and work order automatic generation system based on NFC (Near Field Communication) equipment, which comprises an NFC identity recognition module, an equipment parameter summarization module, a work order information verification module, a work order structure generation module, a work order push confirmation module and a work order submission terminal based on NFC, and reading the NDEF data of the NFC tag of the equipment through the NFC reader-writer. According to the invention, automatic acquisition of equipment identity is realized through near field communication, multi-dimensional data consistency verification is carried out in combination with a chip sequence, all equipment information is automatically linked with a background data set, multiple parameters acquired on site are subjected to system logic screening, and work order key information is automatically distributed to a standard structure field. A data packaging link is controlled by a unified standard template, multiple safety verification and full-process state monitoring are executed in a submission stage, error risks are reduced in each link by means of systematic processing, a data tracing link is continuously improved, and field response and overall circulation efficiency are remarkably improved.

In some implementations, a system includes a set of servers configured to establish a set of virtual machines to provide a computing environment; a set of compute express link (CXL) interface components configured to communicate with the set of servers via a set of CXL interconnects; and a controller configured to at least one of: encrypt protocol data against a CXL interposer security threat associated with the set of CXL interconnects or a malicious extension security threat, provide a secure handshake verification of an identity of the set of CXL interface components, enforce a chain of trust rooted in hardware of the set of CXL interface components; restrict access to an area of memory of the set of CXL interface components that stores security data for verified or secured processes; or perform a security check and set up a set of security features of the set of CXL interface components.

The invention provides a safe flight agent system for executing complex language instructions in a high dynamic environment. The system comprises a perception module and a security module based on a visual language model, a planning module based on a language large model and an unmanned aerial vehicle control interface. In a system operation stage, an intelligent agent receives a command from a user, a planning module splits a task, calls a corresponding task memory and a code generator to generate a corresponding executable code, calls a perceived interface to obtain perceptual information related to the task, and finally, after the perceptual information is checked by a security check module, the perceptual information is sent to a server. And executing the corresponding code to complete the instruction of the user. The system achieves safe and efficient execution of tasks in a highly dynamic environment by combining a high-performance low-frame-rate large model and a high-frame-rate traditional method in each module and using a security detection module involving privacy, potential risk and collision.

The invention discloses an airport terminal security check passenger number hourly prediction method comprising the following steps: 1) preprocessing security check passenger flow characteristic data and terminal historical security check passenger data, and merging the preprocessed security check passenger flow characteristic data and terminal historical security check passenger data into a passenger security check number prediction data set; 2) constructing an NBMT-OneNet-based hourly security check passenger number prediction model; 3) training the hourly security check passenger number prediction model by using the passenger security check number prediction data set; and 4) obtaining security check passenger data and security check passenger flow characteristic data of the terminal to be predicted in the past T time period, and inputting the data into the hourly security check passenger quantity prediction model to obtain security check passenger data in the future T'time period. According to the characteristics of hourly airport security check data, the N-BEATS model and the MTGNN model are used for capturing the complex correlation between the time sequence trend and the variable, and the accuracy of the prediction result is effectively improved.

Various embodiments relate to integrated key revocation with a field loading process and / or related safety and security checks related to an asset system. In an implementation, a data loading request to store a data file via a target storage device of an asset is received. The data file can be signed based on a first key. In response to the data loading request, a key identifier for the first key associated with the data file is compared against (i) a list of key identifiers stored in a key revocation list and (ii) a one-time programmable (OTP) memory of the asset. Additionally, in response to a determination that the data file is successfully authenticated against the key revocation list and the OTP memory, a key revocation process is performed with respect to a second key for the data file associated with the data loading request.

The invention discloses a heterogeneous graph neural network-based microgrid cooperative scheduling prediction and security check method. The method comprises the steps of constructing a heterogeneous graph model; different micro-grid operation scene graphs are generated through analogue simulation; solving an optimal collaborative scheduling strategy vector for each scene graph to serve as an optimal scheduling label, generating a training data set of a'scene graph-optimal scheduling label 'data pair, and completing offline training of the graph neural network model; dynamically generating an instantiated heterogeneous graph; taking the instantiated heterogeneous graph as the input of the trained graph neural network model, carrying out first forward reasoning, and outputting a predicted collaborative scheduling strategy vector; and injecting a virtual fault, generating a virtual fault heterogeneous graph, inputting the virtual fault heterogeneous graph and the predicted cooperative scheduling strategy vector into the trained graph neural network model, carrying out second forward reasoning, predicting the state of the faulty micro-grid system, obtaining the predicted fault node voltage, and carrying out safety check on the predicted cooperative scheduling strategy vector.

The invention relates to the technical field of data processing, in particular to a mobile terminal data intelligent backup method and device, a mobile terminal and a storage medium. The mobile terminal data intelligent backup method comprises the steps that when a preset triggering condition is monitored, such as an NFC label approaching event and / or at least one additional triggering condition, safety verification is executed, and a backup task is triggered if verification is passed. Wherein the NFC label is only used for waking up the backup application program of the mobile terminal. And after a backup task triggering instruction is received, writing the to-be-backed-up data into the external storage device successfully connected with the mobile terminal according to the intelligent backup strategy. According to the data backup method and device, intelligent triggering is achieved through the NFC near field sensing characteristic, the expansion requirement of the external storage device is considered, backup can be conducted according to the intelligent backup strategy, the personalized backup requirement under the complex scene is met, and the convenience and applicability of data backup are improved.

The invention provides an implementation method of a workshop intelligent security check system, the system comprises a plurality of monitoring devices uniformly distributed in a workshop, and the monitoring devices send request messages to monitor workshop data. Through the implementation method of the workshop intelligent security check system, the real-time parameters of the workshop environment, such as workshop temperature and humidity, dust concentration, harmful gases such as CO and SO2, can be rapidly obtained, safe production is ensured, and the implementation method has a wide application prospect.

The invention discloses a two-arm robot motion planning method, system and device for a strong coupling scene, and the main content is as follows: constructing a strong coupling two-arm robot closed chain system kinematic model, giving a group of mechanical arm # imgabs0 # joint configuration, and outputting a joint configuration set corresponding to another mechanical arm # imgabs1 # through the kinematic model, therefore, the planning space dimension is greatly reduced; according to a master-slave batch self-adaptive planning strategy, a mechanical arm # imgabs2 # carries out active batch self-adaptive path planning, and then a mechanical arm # imgabs3 # carries out passive batch self-adaptive path planning based on the strong-coupling double-arm closed-chain system kinematic model; and carrying out pre-motion safety check on the double-arm robot to ensure absolute safety of double-arm cooperative motion in the closed chain operation process. The problems of real-time performance and safety in a strong coupling scene are effectively solved, and reliable technical support is provided for industrial-grade double-arm cooperation.

The invention provides a quick start and security verification method and equipment for an embedded device, a medium and a program product, in the method, firmware is divided into a core start module and a non-core function module in advance, and the core start module and the non-core function module are respectively stored in a high-speed access area and a common storage area of a nonvolatile memory; after the embedded device is powered on, initialization of the key peripheral is completed; when firmware is started or updated for the first time, security verification based on a digital signature is executed on the core starting module, if verification is passed, a mirror image of the core starting module is written into a running cache partition of the nonvolatile memory, and an integrity label is generated; in the subsequent starting process, the mirror image is loaded from the running cache partition, and the integrity label is used for executing rapid verification; after loading of the core starting module is completed, the non-core function module is loaded, and lightweight check is executed. According to the method, the security of the core module is ensured, the performance and security requirements of the non-core module are considered, and the calculation and storage overhead is reduced.

The invention relates to the technical field of intelligent security inspection equipment, in particular to a self-learning metal detection security inspection door capable of being intelligently adjusted. The signal acquisition module is used for acquiring magnetic field change information of the total magnetic field; the signal amplification module is used for amplifying the electric signal; the signal filtering module is used for filtering the amplified electric signal; the alarm module is used for analyzing whether a metal early warning standard is met or not based on the amplitude of the filtered electric signal; the recording module is used for recording a time node for sending the alarm signal and a processing log aiming at the alarm signal; the analysis module is used for analyzing whether operation of the security check door is qualified or not based on the number proportion of the passing time nodes and determining the disqualification reason based on the variance of the amplitude of the electric signals of the passing time nodes, the traditional metal detection technology and the intelligent analysis algorithm are combined, the security check efficiency is improved, and the operation and maintenance cost is reduced.

The invention relates to the technical field of X-ray hazardous article detection, and discloses an X-ray hazardous article detection algorithm based on improved YOLOv8-seg, which can detect the types and specific areas of hazardous articles in disordered security check articles. The method comprises the steps that a multi-channel interactive convolution module is designed, and based on a channel decoupling and recombination mechanism and a heterogeneous convolution kernel collaborative optimization strategy, the multi-scale feature discrimination capability is enhanced while calculation redundancy is reduced; the method comprises the following steps: constructing an SPPF-LSKA (Space Purpose Pooling Function-Learning SKA) composite module, and effectively improving the boundary retention degree of an occluded target through deep fusion of a large-kernel space attention mechanism and adaptive pyramid pooling.

An apparatus has cache data storage, and tagged-data prediction circuitry to generate a tagged-data prediction in response to a streaming-write request requesting that write data corresponding to a target address which missed in a previous level of cache is written to the cache data storage for the given level of cache without being allocated into the previous level of cache. The tagged-data prediction is indicative of whether a target cache data entry corresponding to the target address of the streaming-write request is predicted to be a tagged cache data entry that stores cached data associated with the target address and a valid memory safety check tag corresponding to the target address, or an untagged cache data entry that stores the cached data but does not store a valid memory safety check tag. Cache access scheduling circuitry selects, based on the tagged-data prediction generated by the tagged-data prediction circuitry for the streaming-write request, how to schedule access to the cache data storage in response to the streaming-write request.

The invention discloses a lightweight container X-ray intelligent security check method and system based on anti-distillation, and belongs to the technical field of image recognition. The method comprises the following steps: acquiring qualified image data, and respectively extracting metadata of the qualified image data to carry out hash verification marking for subsequent block chain evidence storage; generating a confrontation sample and a qualified image to form an enhanced data set; constructing a double-teacher confrontation distillation framework combined with a self-supervision pseudo-label generation mechanism, and after determining an optimal framework, completing model self-supervision training by using the enhanced data set as a training sample to obtain a target model; generating a model compression strategy of structured pruning and mixing precision quantification collaborative optimization, completing lightweight deployment of a target model, and executing an actual container security check task; a pixel-level risk heat map is generated according to X-ray image information obtained by an actual container security check task, and a risk assessment result is obtained; and generating a unique digital fingerprint record to the block chain by using a chain type evidence storage mechanism constructed based on the block chain to complete evidence storage.

A method for steering of roaming (SOR) in wireless communication networks includes sending by a mobile equipment (ME) a registration message to a visited public land mobile network (VPLMN). The ME receives a first message from a home public land mobile network (HPLMN) through the VPLMN. The ME determines that the first message has failed a security check. In response to determining that the first message has failed the security check, the ME sends a second message to the VPLMN, the second message including an indication that the first message has failed the security check.

The invention discloses a safety check system and method based on a hidden danger database model, and the method comprises the following steps: S1, building a hidden danger table, a check record table and a rectification record table, and constructing a hidden danger rule base; s2, collecting hidden danger data, and storing the hidden danger data into a hidden danger database model after standardization processing; s3, constructing a hidden danger knowledge graph, and generating a feature matrix; s4, inputting the data and the feature matrix to the time sequence model, and generating a risk scoring matrix; s5, based on the risk score and the knowledge graph, optimizing hidden danger grading and updating the rule base; s6, inputting a multi-modal hidden danger recognition model, and classifying hidden dangers; s7, optimizing task distribution, updating a hidden danger state and storing the hidden danger state into a database; and S8, integrating the data to generate a dynamic characteristic label, optimizing the model, and outputting a heat map and a trend report. Through multi-modal data fusion and dynamic analysis, intelligent management of hidden danger detection, risk assessment, task allocation and model optimization is realized, and the safety check efficiency and accuracy are greatly improved.

The invention relates to a whole mine safety situation analysis and evaluation system and method, and belongs to the technical field of coal mine safety production and management. The system comprises a basic data informatization module, a security big data center module, a professional dimension scoring module, a spatial dimension scoring module and a risk visualization analysis module. The basic information informatization module is used for establishing a basic information informatization database according to professions based on a coal mine safety production standardization management system; the security big data center module is used for integrating multi-source heterogeneous data, namely managing, monitoring and analyzing data, and establishing a data unified interaction standard; the professional dimension scoring module is used for carrying out risk assessment by adopting a security check table method for each professional field; and the spatial dimension scoring module is used for realizing automatic, real-time and quantitative evaluation based on quasi-static and dynamic monitoring data by adopting a virtual object situation-based scoring method for typical scenes. According to the invention, the whole mine overall risk and local key area safety risk evaluation can be realized.

The invention provides an Internet of Vehicles multi-protocol dynamic analysis method based on a protocol description model. The Internet of Vehicles multi-protocol dynamic analysis method comprises the following steps: constructing a multi-level PDM comprising a protocol metadata layer, a dynamic adaptation layer, a security verification layer and a resource scheduling layer; generating a dynamic analysis engine integrating protocol identification, parameter adjustment and result standardization functions based on PDM; after receiving multi-source data, calling an engine to analyze, distributing resources by combining a resource scheduling layer through PDM safety verification, and outputting standardized analysis data; when protocol updating is detected, PDM is updated through edge-cloud collaboration, and a new protocol can be adapted without reconstructing an engine. According to the invention, the analysis flexibility and precision are improved through the PDM dynamic adaptation to the Internet of Vehicles scene; double security check and Nash equilibrium resource scheduling guarantee security and real-time performance; edge-cloud collaborative updating gives consideration to efficiency and privacy, and is suitable for a multi-protocol dynamic analysis scene of the Internet of Vehicles.