1401 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 two-arm robot cooperative motion planning method and system for multi-machine cooperative co-fusion, and the method comprises the steps: constructing a machine-machine-environment co-fusion collision information estimation model: carrying out the discretization of the whole reachable space of a two-arm robot, and obtaining the environment information through a depth camera; a gap estimation neural network model is adopted to obtain interaction information of the double-arm robot and the environment, meanwhile, interaction information of left and right mechanical arms is obtained, and synchronous collision detection between the robots and between the robot and the environment is achieved; on the basis of the machine-machine-environment co-fusion collision information estimation model, performing two-arm robot collaborative path planning to obtain an estimated feasible path; and based on the geometric collision checker, carrying out double-arm robot motion path safety check and path repair, and ensuring absolute safety of a planned path. The problems that an existing two-arm robot motion planning method is low in efficiency, and multi-robot collaborative operation is difficult to effectively achieve are solved.

The invention relates to the technical field of intelligent data processing and artificial intelligence in the electric power industry, and provides an electric power semantic large model adaptive data query and dynamic response method and system.The method comprises the steps that electric power industry natural language query and related images are obtained, and after feature extraction is conducted through a large language model and a deep learning model, the images are obtained; the knowledge graph and the visual question and answer graph neural network are utilized, features of different modes are unified into the same representation in a bidirectional fusion mode, fused features are obtained, after intelligent error correction and natural language query optimization are conducted through the hypergraph neural network and multiple rounds of interaction, an extended query statement is obtained through hypergraph reasoning, and a query result is obtained. Converting the extended query statement into a structured query statement through an autoregression model to obtain a query result; and performing dynamic permission adaptation, sensitive data protection and compliance and security check on a query result to realize dynamic response. And the query accuracy and efficiency of the power industry are greatly improved.

The invention belongs to a target detection technology in the field of computer vision, and particularly relates to an X-ray security check image hazardous article detection system based on improved YOLOv11. Firstly, an X-ray security check image data set is divided into a training set and a test set according to the proportion of 6: 4, the system is based on a YOLOv11 architecture, a space and channel cooperative attention mechanism (SCSA) is introduced into a backbone network structure, the SCSA comprises two parts, namely sharable multi-semantic space attention (SMSA) and progressive channel self-attention (PCSA), and the SCSA is used as a main network of the system. The objective of the invention is to improve the detection performance of hazardous articles in an X-ray security inspection image, effectively enhance the understanding ability of a model for complex scenes, and improve the detection precision and speed of small targets, shielded objects and low-contrast hazardous articles. According to the method, the YOLOv11 algorithm is improved by combining the SCSA module, the detection precision and speed of the dangerous goods in the X-ray security check image are remarkably improved, and powerful technical support is provided for improving public safety and optimizing the security check process.

The invention provides a new energy power supply cluster output collaborative user power consumption optimization method, and relates to the technical field of user power consumption optimization, and the method comprises the steps: obtaining a power grid physical structure and real-time operation state data, constructing a safety check model, and obtaining a new energy output scheme set; evaluating the new energy output scheme set by adopting a fuzzy comprehensive evaluation method, and screening an optimal new energy output scheme; introducing a power supply start-stop state variable into the security check model, and obtaining a new energy output and power supply combination optimization scheme considering power supply start-stop; and constructing a multi-time-scale source network load storage collaborative optimization scheduling model to obtain an optimization scheduling curve of each link. The big data platform is deployed to collect the operation data, coordination and unification of efficient consumption of new energy and safe and stable operation of the power grid are achieved, and the overall operation efficiency and economical efficiency of the system are improved.

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.

An embodiment includes a method to increase the efficiency of security checkpoint operations. A security checkpoint kiosk serves as a Relying Party System (RPS). The RPS establishes a secure local connection between the RPS and a User Mobile-Identification-Credential Device (UMD). The RPS sends a user information request to the UMD, via the secure local connection, seeking release of user information associated with a Mobile Identification Credential (MIC). The RPS obtains authentication of the user information received in response to the user information request. The RPS retrieves user travel information based on the user information. The RPS determines that the user travel information matches the user information. When the user travel information matches the user information, the RPS approves the user to proceed past the security checkpoint kiosk.

The invention relates to the field of industrial automation and equipment maintenance, and discloses a boiler operation state real-time monitoring and regular safety inspection method, which comprises the following steps: acquiring key parameters of an industrial boiler operation state in real time through a plurality of sensors, including pressure, temperature, water level and combustion condition; and transmitting data collected by the sensor to a data processing platform, wherein the data processing platform integrates a big data analysis module, an artificial intelligence algorithm module and a historical data comparison module. Through a linkage mechanism of the data processing platform and the industrial boiler control system, operation parameters can be automatically adjusted; necessary safety measures are prompted to be taken through continuous on-line monitoring and alarming of boiler load and water quality. An artificial intelligence algorithm is introduced, dynamic maintenance cycle adjustment is realized, unnecessary maintenance is reduced, and the maintenance cost is reduced; the remote monitoring and control system supports real-time monitoring and remote control, and improves the flexibility of operation and maintenance and the fault response speed.

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 provides an intelligent research and judgment method and system for network-related security check terms of a network source based on a large language model. The method comprises the following steps: S1, collecting network-related security evaluation terms and a basis file; s2, performing pre-training and fine tuning on the universal Embedding model by using a network-related security evaluation clause and a basis file so as to construct a network source special model; s3, carrying out preprocessing and text segmentation on the network-related security evaluation basis file, carrying out text vectorization processing through a network source special model, and storing vectorized text fragments and corresponding original texts into a database to construct a network source security special knowledge base; and S4, carrying out intelligent research and judgment on network-related security check terms by combining the large model and a network source security special knowledge base. According to the method, the advantages of the large language model in the aspect of natural language understanding are fully played, and the clause basis file is accurately positioned in combination with the network source security special model, so that a large number of unstructured network-related security check clauses can be efficiently processed, and intelligent and efficient research and judgment are realized.

The invention discloses a network information security defense detection method and system, and relates to the technical field of network information security, and the system comprises a website security check module, a downloading security check module, an access security check module and a display execution module. In daily Internet surfing, net friends often encounter network security problems, for example, users may receive phishing mails disguised as banks or download malicious software in untrusted websites, resulting in data stealing. Identity embezzlement and data leakage increase privacy and financial risks, and man-in-the-middle attack may intercept sensitive information through an unencrypted Wi-Fi network. According to the method, security detection including domain name check, certificate verification, content scanning, integrity verification and the like is carried out on websites, downloading programs and external access equipment, so that security risks are found and processed in time; and meanwhile, by adopting a virtual machine isolation technology and behavior monitoring, the protection on malicious programs is enhanced, the security risk of external equipment is evaluated, and the security of a network environment and data is ensured.

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.

The invention relates to the technical field of airport resource management and configuration, and particularly discloses an airport resource allocation optimization method, system and device and a storage medium, and the method comprises the following steps: constructing a main building + satellite hall type multi-terminal passenger departure process simulation calculation model; constructing an airport passenger behavior simulation calculation model; and constructing an airport passenger passing efficiency quantitative evaluation model, and after model parameters are set, carrying out model calculation to obtain airport terminal satellite hall security check channel resource configuration. After a passenger security check scheme and security check channel resource configuration are optimized through the method, the average passing time of all passengers is greatly improved compared with the time of a traditional centralized security check mode, and the long-time queuing phenomenon of passenger security check is avoided.

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 novel script development method based on a JVM (Java Virtual Machine), which comprises the following steps of: S1, setting a script permission list and a script forbidding list in a system configuration file, setting an initial variable and configuration information of a script, and monitoring the change of the configuration file by using an observer mode; s2, collecting external input data by utilizing a response type programming library, performing conversion processing by taking the external input data as an event, and adding the external input data into a script running context; s3, analyzing script contents into marks and nodes, and constructing an abstract syntax tree; s4, checking whether the variables of the abstract syntax tree accord with the permission and prohibition lists in the configuration file or not; s5, traversing the abstract syntax tree, and executing node logic of the abstract syntax tree; and S6, collecting execution results of all nodes, and returning the results to a caller. According to the method, configuration changes are monitored through an observer mode, syntax analysis and security check are carried out in combination with an abstract syntax tree, and the functions of script online development and real-time adjustment are achieved.

The invention discloses an intelligent graph ticketing system with topology verification in a power distribution program. Comprising a plurality of modules such as a data access and preprocessing module, a single line diagram topology coloring module and an equipment state intelligent identification module, and the data access module can access and preprocess data such as a distribution network GIS (Geographic Information System) graph model; the topology coloring module marks an area during ticket simulation; the intelligent identification module can identify the equipment state and the wiring mode; the operation ticket intelligent generation module generates operation steps through a graphic platform and can perform integrated verification; the drawing ticket anti-error checking module carries out ticket face and topology anti-error checking; the operation sequence generation and security check module generates a reasonable operation sequence and checks the reasonable operation sequence; the remote control operation pre-checking module checks the remote control operation working environment state and the equipment condition; the automatic remote control execution module initiates an execution request; the programmed operation monitoring and log recording module provides a monitoring interface and records ticket formation days. The system improves the efficiency and accuracy of operation ticket generation, and guarantees the operation safety.

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 relates to a vehicle detection method, device and system, and a computer readable storage medium, and relates to the field of vehicle security check. The vehicle detection method comprises the following steps: in a process that at least one to-be-detected vehicle runs on a detection road section, acquiring original point cloud data by using a multi-line laser radar, and determining a laser scanning line to which each point cloud of each to-be-detected vehicle in the original point cloud data belongs; according to the original point cloud data, obtaining vehicle point cloud data of each to-be-detected vehicle in the at least one to-be-detected vehicle; according to the vehicle point cloud data, determining at least one of position information and vehicle speed information of each to-be-detected vehicle; determining target point cloud data of each to-be-detected vehicle obtained by scanning at least one laser line of which the vertical field angle is greater than a vertical field angle threshold value from the vehicle point cloud data; and according to the target point cloud data of each to-be-detected vehicle, determining position information of a loaded object of each to-be-detected vehicle.

The invention discloses a large power grid security check calculation method suitable for multiple time scales, and belongs to the technical field of data processing, and the method comprises the following steps: S1, obtaining the calculation content of a multi-user security check task, evaluating the complexity of the calculation content, and selecting a parallel calculation mode based on an evaluation result; s2, based on a parallel computing device pool set in a parallel computing mode and a job scheduling strategy, extracting computing sub-tasks of the multi-user security check task, and dynamically distributing the computing sub-tasks to corresponding computing nodes by adopting a load balancing mechanism; and S3, processing the calculation subtasks of the plurality of calculation nodes by adopting a parallel algorithm of a CPU + GPU hybrid architecture, merging calculation subtask results of the plurality of users, and generating a final security check report. According to the scheme, the computing resource utilization rate of the resource pool is improved, and the large-scale power grid safety checking efficiency is remarkably improved.

The invention discloses a modular reconfigurable multifunctional service robot, and relates to the technical field of robots, the modular reconfigurable multifunctional service robot comprises a mobile base, a man-machine interaction module is arranged above the mobile base, the man-machine interaction module and the mobile base are matched to form a welcome service robot, and a modular upper end module is further arranged at the top of the mobile base. The modularized upper end module comprises a distribution module, a health security check module, a security inspection module and a disinfection module, and the distribution module, the health security check module, the security inspection module and the disinfection module are respectively matched with the welcome service robot. According to the modular reconfigurable multifunctional service robot, various modular upper end modules are additionally mounted or replaced on the movable base, so that the multi-environment, multi-scene and multi-task adaptability is high; and due to the design of the universal movable base and the modular upper end module, the purchase cost of the multi-task function service robot is remarkably reduced, meanwhile, management and control are convenient and fast, and the overall use complexity and difficulty of the robot are reduced.

Improved security inspections for API traffic are disclosed. A data obfuscation process is applied to structured data in a request or response body to obfuscate the content while retaining the structural aspects thereof. The resulting sanitized version of the structured data is sent for analysis. For example a machine learning component is trained on such sanitized data to develop a signature or model that detects anomalous interactions with the API. The retained structure contains signals useful for pattern recognition and anomaly detection. The signature or model is preferably developed for a specific API endpoint. Then, a detection engine can be deployed to assess subsequent API traffic for the API endpoint, with such subsequent live traffic being similarly obfuscated by the system before being assessed. The teachings hereof can be used to block attacks or other malicious activities directed against API endpoints.

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.