486 results about "Security check" patented technology

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 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 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 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.

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.

The invention discloses a medical record large model privacy enhancement fine tuning method based on a federated learning framework. The method comprises the following steps: S01, constructing a three-level medical exclusive federated learning framework of a client, an edge node and a federated server; s02, the client performs privacy enhancement preprocessing on the medical record, generates a medical exclusive feature vector and adds differential privacy noise; s03, a three-level privacy enhancement mechanism of a data layer, a transmission layer and a training layer is designed, dynamic differential privacy noise injection is adopted in the data layer, homomorphic encryption and secure aggregation are adopted in the transmission layer, and gradient mask and federated distillation technologies are adopted in the training layer; s04, adopting a federal fine tuning strategy adaptive to medical characteristics; and S05, constructing privacy security verification, clinical compliance auditing and a model iterative optimization closed loop. Therefore, the privacy protection intensity is obviously improved, the medical data adaptability is optimized, the heterogeneous deployment flexibility is enhanced, the privacy and performance are dynamically balanced, the clinical compliance is guaranteed, and the cooperation efficiency is improved.

The invention discloses a message processing method and device and electronic equipment. The method comprises the steps that a message processing template is generated based on object information and service information, and the object information is attribute information of an object for message transmission; the template content of the message processing template is verified multiple times, a first verification result of the message processing template is obtained, multiple times of verification comprise integrity verification and safety verification, the integrity verification is used for verifying whether the message processing template comprises service information or not, and the safety verification is used for verifying whether transmission of the message processing template is safe or not; generating a target message based on a message processing template and a preset generation rule under the condition that the first verification result is successful verification; performing accuracy verification on the target message to obtain a second verification result of the target message; and processing the target message based on the second verification result. According to the invention, the technical problem of low message processing efficiency in related technologies is solved.

There are proposed methods, devices, and computer program products for safety management. In the method, in response to receiving a first query to a machine learning model, a first response to the first query is obtained by the machine learning model, the first query being represented in a natural language, and the machine learning model being a language model. A second query is determined based on the first query, the first response and a safety token, the safety token triggering a safety check on the second query. A second response to the second query is obtained by the machine learning model based a check result of the safety check.

Disclosed embodiments include technologies for improving safety mechanisms in computer assisted and / or automated driving (CA / AD) vehicles for protecting vulnerable road users (VRUs). Embodiments include various mechanisms to enable early Responsibility Sensitive Safety (RSS) checks for the CA / AD vehicles driving policy to protect in-danger VRUs. Embodiments also include controlled forwarding mechanisms to notify other CA / AD vehicles and roadside infrastructure when a potentially dangerous situation is detected. Other embodiments are described and / or claimed.

The invention discloses a portable X-ray back scattering security check system based on AI image enhancement. The system belongs to the technical field of radiation imaging, and comprises a sensing unit used for sensing physical situation information in an imaging process so as to generate time-sequenced physical prior data; the prediction unit is used for predicting a future scanning behavior based on the physical prior data to generate a feed-forward control instruction and prediction confidence; the regulation and control unit is used for adaptively regulating and controlling scanning parameters based on the feedforward control instruction and recording execution information including regulation and control residual errors; and the AI reconstruction processor is used for performing enhanced reconstruction on the original X-ray image based on the physical priori data, the prediction confidence and the execution information. By constructing an intelligent closed loop of perception, prediction, regulation and control and reconstruction, physical uncertainty information in the imaging process is quantized and used for guiding AI reconstruction, so that the problem of information fault between physical acquisition and digital reconstruction is solved, and the quality and reliability of a final image are improved.

The invention provides a security check method and system based on voice and smell fusion data recognition, and the method comprises the steps: collecting a smell signal and a voice signal through a signal collection device, and employing a filtering method to remove environment interference noise, and obtaining a preliminary smell molecule concentration sequence and a voice waveform sequence; after the comprehensive abnormal index vector is obtained, a time sequence analysis model is adopted to analyze the time sequence change of the comprehensive abnormal index vector so as to judge a potential abnormal mode sequence; for the potential abnormal mode sequence, similar modes are grouped through a data grouping algorithm, so that classified abnormal groups are obtained; determining a high-risk anomaly subset according to the classification anomaly group; and according to the high-risk anomaly subset, generating a fusion evaluation report so as to obtain a final threat level label.

The invention discloses an authentication link double-token refreshing method and system, and relates to the field of computer network security. The method comprises the following steps: in a token refreshing process, a client sends a refreshing token and an iteration anchor point to a server; the server verifies the continuity of the iteration anchor point and the historical token state; and after verification is passed, token refreshing is executed, and a new iteration anchor point is generated. The iteration anchor point is a failure time identifier of the failure token, and the verification comprises consistency judgment and anti-replay verification. Meanwhile, an authentication link file is established, strong binding of the token and the link is achieved, and a full-life-cycle log is recorded. Triple protection is constructed through an iteration anchor point, a link identifier and an equipment identifier, the problems of authentication link breakage, safety verification looseness and abnormity non-traceability are solved, and non-inductive refreshing, attack interception and full-link traceability are realized.

The invention provides a heterogeneous database query method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out security verification processing on a plurality of SQL execution requests sent by a user side, and carrying out SPI mechanism scanning processing on a plurality of database plug-ins in a heterogeneous database plug-in directory based on a high-performance database connection pool after the security verification processing is passed, determining a target database plug-in package corresponding to each SQL execution request; and performing metadata query processing on the SQL execution request in the target data source based on a database operation client interface and a metadata service interface under the target database plug-in package, and determining a structured tree result. According to the method, an extensible and dynamically integrated heterogeneous database plug-in mechanism is realized, unified access of various databases is supported, the platform maintenance cost is remarkably reduced, hierarchical metadata of any type of databases is obtained through a consistent metadata service interface, and the user experience and the cross-database query efficiency are improved.

The invention discloses a personality adaptive training and dynamic evolution method of a role large model and a related product. The method comprises the steps of obtaining interaction log data when a self-adaptive training triggering condition is met; scoring the interaction log data to obtain an index score vector, comparing the index score vector with a target score vector to obtain a deviation vector, and summarizing the deviation vector to form a deviation report; constructing a training sample based on the deviation report; on the premise of freezing trunk parameters of the basic language generation model, executing small-step increment updating on an evolvable personality vector and / or a scene sub personality increment module set in the personality configuration file, and applying core personality attribute anchoring constraint, distribution difference constraint and rule constraint to obtain a target personality configuration file; and when the target personality configuration file passes the security verification, writing back and storing in a versioning manner, otherwise, rolling back to update the current personality configuration file. According to the method, personality controllable evolution is realized in multi-scene continuous interaction, and the risk of personality drift and cross-scene inconsistency is reduced.

A method and system are provided at a local network level and a remote cloud level. The local network level includes compressors and a controller configured to create a short-term schedule having a short-term switching sequence for operation of the compressors, perform a validation assessment on the short-term schedule, and send the short-term schedule to a platform embedded with the main controller of the system. A prediction model, a long-term scheduling approach, and cloud storage that stores measurements from the compressors and executable instructions are provided at the remote cloud level. The long-term schedule is transferred to a safety check module at the local network level. Following validation, the embedded platform refines the long-term switching sequence and the safety check module allows the system to implement the long-term schedule, having the short-term schedule as a backup option.

A control system, a management method, and a management program for autonomous driving capable of reliably performing a safety check on a surrounding of an autonomous driving vehicle and reducing a risk of collision during a startup due to a check omission. Whether a safety check is performed is grasped using an in-vehicle camera that monitors a surrounding of a vehicle, a QR code (registered trademark) set at the surrounding of the vehicle, or a one-time password, and an erroneous vehicle is not subjected to a startup by using a check result in response to an instruction to start an autonomous driving by an on-site manager. Further, a range in which the autonomous driving or the remote control operation is permitted is set according to a range in which the check is performed. Accordingly, a risk of collision during a startup of the autonomous driving vehicle is reduced.

The present invention relates to a safety check method and device for coupling of multiple train units in rail transit, and medium, the method including: determining train formation information to obtain the length, weight and traction braking characteristics of the whole train, so as to automatically protect the running of the train on a route and realize automatic driving. Compared with the prior art, the present invention can detect the coupling states of more than 2 marshalled trains.

The invention relates to the technical field of power system automation, and discloses a cooperative control method, system and device for inverters in a power distribution area and a medium, and the method comprises the steps: carrying out the identity authentication of the inverters in the power distribution area through constructing a distributed authentication platform, and constructing a logic neighbor network of the inverters; determining the operation capability of the inverter according to the physical constraint and power operation data of the inverter, and constructing a multi-time scale coordination framework according to the real-time demand of the power distribution area to determine a bidding strategy set of the inverter; constructing a transformer area clearing model considering the safety of the power distribution transformer area, and solving the transformer area clearing model according to the logical neighbor network and a distributed optimization algorithm to obtain a power control instruction of an inverter; the distributed authentication platform monitors the operation state of the power grid in the power distribution area, and when the risk is triggered, a security check algorithm is started to correct the power control instruction, and a power correction instruction is obtained to control the inverter to execute; and under the condition of considering the safety and the cost, the refined cooperation of the district level is realized.

The invention discloses an airport passenger full-flow customs clearance method for accurate security check, and the method comprises the steps: building a full-customs clearance platform system, constructing a cloud end and each independent airport node by the platform system, forming a cloud end identity library of each flow service point at the cloud end, forming a local identity library of each flow service point at each airport node; the passenger certificate information and the face biological characteristic information are combined to form unique identity information data, each service point collects on-site face photos, face photo characteristic codes are extracted, and a security check composite program is set; the face photo feature codes are uploaded to the cloud for comparison, a cloud identity library is perfected, or the face photo feature codes are sent to the airport node for comparison, a local identity library is perfected, and therefore the whole process of customs clearance check-in, security check-in, boarding and the like is achieved in sequence. The platform system is a passenger identity information management and control center with unified service, unified standard and unified operation and maintenance, real-time scheduling operation is achieved, and the application goals of one-time registration, lifelong use, smooth path and worry-free travel are achieved.

The invention discloses an electric loader electric cylinder driving method and system based on modular control, and the method achieves the precise control of a steering electric cylinder, a movable arm electric cylinder and a bucket electric cylinder through the cooperative work of an electric cylinder enabling control module, an electric cylinder band-type brake control module and an electric cylinder instruction calculation module. Wherein the electric cylinder enabling control module ensures reliable starting of the system through multiple safety verification; the electric cylinder band-type brake control module dynamically manages the band-type brake state based on the enabling state, the instruction signal, the vehicle speed and the duration time, and energy consumption and safety are optimized. And the electric cylinder instruction calculation module integrates manual control, automatic control and follow-up control, and introduces a speed buffer limiting mechanism to realize anti-impact protection in the movement process of the electric cylinder. A traditional hydraulic oil cylinder is replaced by the electric cylinder, the system efficiency is improved from 50%-60% to 90% or above, the control precision, the response speed and the energy utilization rate of the loader are remarkably improved, and the problems that a hydraulic system is low in efficiency, insufficient in control precision and poor in safety are solved.

This invention discloses a security inspection quality control and supervision method and system based on multi-source heterogeneous data fusion, relating to the field of security inspection quality control technology. The method includes: S1, collecting security inspection quality control monitoring data and performing preprocessing on the data; S2, generating passenger anchoring records, performing segmentation and cyclic reuse disassembly on tray records, performing temporal constraint association and backtracking matching on X-ray and video records, and generating security inspection quality control evidence chain data; S3, constructing and calling a cross-modal evidence deviation characterization model to obtain evidence deviation characterization values, calculating review suspicion score values, and generating review judgment data; S4, comparing the review suspicion score values ​​with the supervision and handling threshold, performing closed-loop judgment and retrieval registration on abnormal supervision records, and outputting quality control and supervision result data. This solves the problems in existing security inspection quality control and supervision, such as inaccurate multi-source data association, easy mismatch or breakage of evidence chains, leading to unstable review judgments and a lack of reliable basis for closed-loop supervision.

The utility model relates to the technical field of oil depot delivery, in particular to an intelligent delivery system. Comprising batch control equipment for loading, interlocking control equipment for checking safety conditions before loading, access control equipment for controlling vehicles to enter and exit, a data server for collecting and processing information, a batch interlocking control module for controlling the batch control equipment and the interlocking control equipment, and a self-service billing machine for self-service billing of a driver, the PLC system / ERP system is used for counting delivery conditions and calculating residual goods quantity, the security check module is used for controlling security check equipment, the access control module is used for controlling access control equipment, the vehicle management module is used for vehicle queuing management, and the user terminal is used for customer ordering. The data server is in communication connection with the batch interlocking control module, the self-service billing machine, the PLC system / ERP system, the security check module, the access control module, the vehicle management module and the user terminal. The system is efficient in delivery and high in intelligent degree, does not need to be guided and operated by a specially-assigned person, and intelligently checks safety conditions before loading.

The invention belongs to the technical field of civil aviation safety management, and discloses a civil aviation hidden danger information safety monitoring method and system. The method comprises the following steps: acquiring a created security check list library through a PC management end, and acquiring and creating check lists and check list editing and maintaining operation instructions in a corresponding department / department space; the PC management end executes sending of an inspection list and management configuration, generates an inspection task according to a sending period of the management configuration, and pushes the inspection task to an inspection module of the APP inspection end; and obtaining a safety check task editing operation instruction in the check module, carrying out safety check on the existing hidden danger information, and visually showing the safety check condition. According to the invention, airport safety inspection work requirements can be met, a method for checking, processing and supervising inspected hidden dangers is provided, various hidden dangers can be recorded and concluded, and hidden danger problems which occur repeatedly can be sorted and publicized.

The invention discloses a security check system evaluation method and device, electronic equipment and a storage medium, and belongs to the technical field of security check. The method comprises the following steps: acquiring operation data of a security check system from a plurality of data sources associated with the security check system; determining first evaluation basis data of each evaluation dimension in the operation data according to a plurality of evaluation dimensions of the security check system; processing the first evaluation basis data of each evaluation dimension to obtain a dimension index value of each evaluation dimension; obtaining a dynamic weight corresponding to each evaluation dimension according to the operation data; and determining a quality score representing the security check quality of the security check system according to the dimension index value of each evaluation dimension and the corresponding dynamic weight. According to the invention, the security check quality evaluation accuracy of the security check system is improved.

Systems, devices, methods, and media that can be used to provide integrated vision and robot control functionality in a variety of applications. An example control device includes memory and processing circuity configured to execute instructions in the memory to execute a hybrid motion planning process for a robot; perform a safety check to validate a motion plan for the robot; execute the motion plan to control the robot in accordance with the motion plan; and, while executing the motion plan, receive vision data associated with the robot and adjust the motion plan based on the vision data.

The present disclosure provides a method for deploying the software framework on the ML Platform in a secure manner. In particular, the present disclosure provides a method for securely deploying the ML models or the algorithms into the system by providing a multi-level scanning procedure. In an embodiment, the disclosed method performs multiple vulnerability scans on the ML model or the algorithm at multiple stages to check for malware and ensure that only models / algorithms that pass the security checks are imported into the system. If the security scan detects vulnerabilities at any stage then the files are placed in a quarantined zone and the import process is terminated. Thereby protecting the system and making it cyber-secure.

The application relates to a device control method and device, equipment, a storage medium and a program product. The method comprises the following steps: obtaining voice control text information, target running parameters of each candidate Internet of Things device, and target environment state information; determining a dynamic physical capability boundary based on the target running parameters and the target environment state information; based on the voice control text information and the dynamic physical capability boundary, at least one of a candidate action set of a large language model, a tool definition, a generation path, a candidate word element probability distribution or a generation action space is constrained, so that the large language model generates control information conforming to the dynamic physical capability boundary and containing a target control instruction; if the target control instruction and a target Internet of Things device contained in the target control instruction are parsed from the control information, the target control instruction is subjected to a security check; and if the check is passed, the target Internet of Things device executes the target control instruction. The method can improve the accuracy and safety of device control.

This application relates to the field of information technology, specifically to a natural language query method and system based on a low-code platform. The method includes the following steps: reading the creation context of a data table and fields on the low-code platform, and generating a related thesaurus of the data table and fields based on the creation context; receiving a natural language query statement input by a user, extracting the action words and predicate words of the natural language query statement to obtain the user's query intent; comparing the predicate words with the related thesaurus to obtain matching related words; replacing the corresponding predicate words with the matching related words, and generating an SQL query statement based on a pre-connected Text-to-SQL module; performing syntax and security checks, executing the SQL query statement to obtain query results; selecting a visualization component to load and display the query results according to the user's query intent, and changing the display method of the query results in response to user actions.

The present disclosure provides a method for a safety inspection of an LNG distributed energy smart terminal, an Internet of Things (IoT) system, and a storage medium. The method includes collecting operation and maintenance data of the LNG smart terminal and personnel data of a safety inspector and uploading the collected data to a management platform; monitoring an operation and maintenance situation of the LNG smart terminal in real-time, and generating an inspection order reminder and an inspection instruction according to a preset safety inspection mechanism; matching an inspection requirement of the LNG smart terminal with inspection data of the each safety inspector and sending the inspection instruction and the inspection order reminder to an optimal safety inspector for the safety inspection; and after completing the safety inspection, sending inspection completion information to the management platform, and confirming completion of the safety inspection after receiving the inspection completion information.

A safety system for a motor vehicle includes a control device designed to carry out a test run. The test run is designed such that when the test run is activated a number of vehicle functions are activated, particularly one after the other and automatically, to test them.