12results about How to "Improve prevention capabilities" patented technology

The invention relates to the technical field of transaction optimization, in particular to an energy transaction optimization management method based on a privacy protection block chain, and the method comprises the following steps: collecting data of energy transaction participants and transaction records, encrypting the transaction records through employing a digital signature, checking the safety of energy transaction information, and generating an encrypted transaction data set. According to the invention, the delay of information transmission is reduced through the operation of capturing and updating the block chain account book in real time, so that the market response is more agile, the method is very important for the rapidly changing energy market, and the classification and risk assessment of transactions not only help to identify abnormal transactions, but also further enhance the ability to prevent potential fraud activities, thereby improving the safety of the system. By optimizing the transaction verification rule and the execution path, the energy transaction processing efficiency is improved, the energy distribution is optimized, the resource allocation is more reasonable, and the market competitiveness and sustainability are improved.

The invention relates to a multi-sensor-based vehicle body posture online early warning method and system and a medium, and the method comprises the steps: S1, obtaining the motion state data information of the left front side of a vehicle body in real time based on a vehicle-mounted IMU sensor on the left front side, the motion state data information of the right front side of the vehicle body is obtained in real time based on the vehicle-mounted IMU sensor on the right front side, the motion state data information of the left rear side of the vehicle body is obtained in real time based on the vehicle-mounted IMU sensor on the left rear side, and the motion state data information of the right rear side of the vehicle body is obtained in real time based on the vehicle-mounted IMU sensor on the right rear side; s2, the motion state data information of the left front side, the motion state data information of the right front side, the motion state data information of the left rear side and the motion state data information of the right rear side of the vehicle body are obtained. According to the method, the monitoring range of the unmanned container truck at the port can be expanded, the safety and the prevention capability are improved, the possibility of accidents is reduced, and the safety of port operation is guaranteed.

The invention discloses an information security vulnerability processing system and method, and particularly relates to the technical field of computer security, and the system comprises a network monitoring module, an intrusion detection module, an abnormal network information detection module, an early warning module and an intrusion tracking module, illegal intrusion behaviors are collected through log records, the intrusion detection module judges the legality of network access by detecting data streams of a network, keyword matching is conducted on the captured data streams, and the abnormal network information detection module conducts abnormal information detection on the received data streams. The early warning module automatically responds to the detected network vulnerability, and the intrusion tracking module adopts information tracking to judge the trace of an attack intruder. Various network risks can be assessed by monitoring various data in the network and centralizing the data captured by the monitoring points in the abnormal network information detection module for processing.

The invention relates to the technical field of water resource management, in particular to a water resource management method and system based on a salt tide upstream prediction model. The method comprises the following steps: carrying out estuary line tidal water upstream change analysis on salt tide upstream hydrological data, and carrying out tidal water upstream water quantity analysis to obtain tidal water upstream water quantity data; performing upstream diffusion trend analysis on the tide water upstream water volume data to obtain upstream diffusion trend data; carrying out salinity gradient space distribution structure analysis on the upstream diffusion trend data, and carrying out salt tide upstream retardation effect analysis by considering the upstream water discharge amount to obtain salt tide upstream retardation effect data; and performing water resource management long-term influence effect analysis based on the salt tide upstream blocking effect data to obtain water resource management long-term influence effect data. According to the invention, the water resource management technology is optimized, so that the water resource management is more perfect.

The present invention relates to the field of environmental pollution monitoring, and specifically to an online environmental pollution monitoring method and system. The method collects pollutant concentration data of a parking lot and obtains pollutant concentration preprocessing data through data preprocessing; extracts spatial distribution characteristics and time characteristics of pollutant diffusion from the pollutant concentration preprocessing data according to a multivariate spatiotemporal prediction model, and comprehensively analyzes the spatiotemporal trend of pollutant diffusion to obtain the diffusion trend of pollutant concentration and the predicted pollutant concentration; performs data analysis on the predicted pollutant concentration and a preset safety concentration threshold, and when the predicted pollutant concentration is greater than the preset safety concentration threshold, triggers an alarm and performs ventilation operation; solves the problem that pollutant monitoring in a parking lot is not comprehensive enough, pollutant concentration cannot be predicted in a timely and effective manner, and high-concentration areas of pollutants cannot be determined, resulting in the inability to timely optimize and manage air quality and protect personnel health.

The embodiment of the invention relates to a processing system for performing access control on intranet resources. The system comprises an OpenLDAP server, a VPN server, a VPN log server, intranet routing equipment, a log analysis server and an early warning gateway, the OpenLDAP server is used for configuring a plurality of directory objects; the VPN server is used for processing a plurality of configured directory objects after receiving a login request / service request sent by the VPN client, generating a corresponding operation log based on each step of operation in the processing process and storing the operation log in the VPN log server; and the log analysis server is used for carrying out early warning event identification according to the early warning event directory object and the operation log to obtain a corresponding early warning event report, and calling the early warning gateway to send the early warning event report to one or more remote monitoring clients specified by the monitoring client directory object. According to the system, the access control capability of intranet resources can be improved.

The utility model relates to a vehicle speed detection and early warning robot in a construction area. The robot comprises a display device, a rocker arm robot device, a storage battery, a photovoltaic power generation device and a control panel. The photovoltaic power generation device is respectively connected with the storage battery and the control panel; the display device and the rocker arm robot device are connected with the control panel. According to the utility model, speed measurement, identification, display and early warning are combined together, the comprehensive performance is strong, the operation is simple and convenient, the purposes of real-time monitoring and rapid early warning can be realized, and the safety and the working efficiency of a construction site can be effectively improved.

The present invention relates to the field of data processing technology, and in particular to a visa processing method. The present invention adopts digital twin technology to create an identity model based on dynamic data for each applicant, and the model features include the applicant's biometric features, as well as their daily behavior patterns, social network activities, and historical travel record data features; thereby performing a more comprehensive and dynamic identity verification of the applicant, not limited to data at a single point in time; during the visa application process, the digital twin model captures and analyzes the applicant's behavior data in real time, and matches it with the established model. If abnormal behavior is found (such as the behavior pattern is inconsistent with the history), a prompt is automatically issued, requiring further verification or rejecting the application. At the same time, multi-dimensional verification is adopted, in addition to static biometric features, to reduce errors caused by human subjective judgment, thereby greatly improving the security and reliability of visa applications.

The invention discloses a safety management method for an overseas bidding and tendering platform, which relates to the technical field of system management and comprises the following steps of: logging in the platform by adopting a dual identity authentication mechanism; setting an abnormal flow detection and protection mechanism; establishing an intelligent authority management mechanism; encrypting sensitive data of bidding and tendering; implementing a distributed backup and disaster recovery strategy; security auditing is carried out on external suppliers and partners; real-time monitoring and log auditing are carried out; deploying an intelligent contract auditing and verifying mechanism; constructing a malicious behavior recognition system based on artificial intelligence; and performing dynamic vulnerability scanning and timely patch management. According to the overseas bidding and tendering platform security management method, by introducing a multi-dimensional and intelligent security protection mechanism, the security of the platform is comprehensively improved from the aspects of user identity verification, authority management, flow protection, abnormal behavior detection and the like, so that the method can monitor and adjust the user authority in real time, and the authority abuse is prevented.

The application belongs to the field of airport management, and relates to a smart video inspection method and system based on a multi-modal large model, which comprises the following steps: 1, based on unstructured text in airport data, a structured knowledge graph is constructed, and a high-dimensional semantic vector is obtained based on nodes of the structured knowledge graph; 2, feature extraction is performed on various data including monitoring video to generate multi-modal joint feature representation; the multi-modal joint feature representation comprises space-time information and rule context; 3, based on the high-dimensional semantic vector and the multi-modal joint feature representation, it is judged whether an abnormal event occurs in the terminal building; 4, if an abnormal event occurs, a structured instruction is generated based on the abnormal event, and the terminal building is optimized in a closed loop based on the structured instruction; based on the existing video monitoring environment and data of the airport, an integrated intelligent system is provided for intelligent inspection of the terminal building, and automation, refinement and closed-loop management of the inspection are realized.

The present application relates to the field of tunnel engineering geology and support design, and discloses a soft surrounding rock tunnel deformation risk discrimination method based on shear dilation-shear constitutive, comprising the following steps: constructing a nonlinear coupling model between the shear dilation angle and the shear stress, normal stress and joint parameters, and obtaining the shear dilation angle; establishing a volume strain rate discrimination formula; inverting the initial stress tensor field; reconstructing the irregular tunnel boundary; constructing a risk grade discrimination model and outputting the risk grade; matching the support scheme such as support stiffness, anchor rod parameters and spray layer thickness according to the risk grade; establishing a model to predict the risk trend; generating support adjustment suggestions; collecting monitoring data to dynamically correct the model parameters; and integrating all modules in the deployment system. The present application introduces the coupling relationship between the shear dilation angle and the shear strength, establishes a coupled constitutive discrimination model, and constructs a risk grading system and support correction strategy associated with support response, thereby realizing active early warning and dynamic adjustment of support stiffness in high-risk sections.

The application discloses a noise simulation prediction method of a centrifugal blower, comprising the following steps: establishing a parameterized three-dimensional model and performing high-precision transient CFD simulation to obtain an aerodynamic noise source; simultaneously, a multi-body dynamics model is established to calculate a structure vibration sound source. Then, the two types of sound sources are loaded into an acoustic finite element model applying an automatic matching layer technology to perform aerodynamic-structure-acoustic coupling simulation and predict a comprehensive noise field; noise testing is performed through a prototype to calibrate simulation model parameters and improve prediction confidence; subsequently, the calibrated model and an automatic process are integrated to construct a rapid iteration simulation prediction system; finally, parameter sensitivity analysis and multi-objective optimization are performed by using the system to identify key parameters with the greatest influence on noise and performance, so that a centrifugal blower with low noise and high efficiency is designed, and the research and development cycle is significantly shortened and product performance is improved.