26results about How to "Improve prevention capabilities" patented technology

The invention relates to the field of environmental pollution monitoring, in particular to an on-line environmental pollution monitoring method and system, and the method comprises the steps: collecting the pollutant concentration data of a parking lot, and carrying out the data preprocessing to obtain the pollutant concentration preprocessing data; extracting spatial distribution characteristics and time characteristics of pollutant diffusion from the pollutant concentration preprocessing data according to a multivariable space-time prediction model, and comprehensively analyzing the space-time trend of pollutant diffusion to obtain the diffusion trend of the pollutant concentration and obtain the predicted concentration of the pollutant; performing data analysis on the predicted pollutant concentration and a preset safe concentration threshold value, and when the predicted pollutant concentration is greater than the preset safe concentration threshold value, triggering an alarm and performing ventilation operation; the problems that pollutant monitoring in a parking lot is not comprehensive enough, pollutant concentration cannot be effectively predicted in time, and a high-concentration area of pollutants cannot be judged in time, so that air quality cannot be optimized and managed in time, and personnel health cannot be guaranteed are solved.

The embodiment of the invention provides a dynamic access control method and device based on a security gateway and trust evaluation and a related product. The dynamic access control method based on the security gateway and trust evaluation comprises the following steps: closing an external access permission of an application and analyzing a domain name of the application to a security gateway address based on the security gateway, so that all access requests are accessed through the security gateway; whether an access control strategy is triggered or not is judged according to the risk assessment result and a pre-configured access control triggering rule, and if the access control strategy is triggered, the access control strategy is issued to the security gateway; and the security gateway receives the access control strategy in real time, intercepts an access request of a client to a target application, performs matching judgment on the content of an access request message according to a dynamic strategy, and executes a corresponding control action on the access request according to a strategy rule if a preset triggering condition is met so as to realize dynamic access control. And the access is safer and more flexible, and the self-adaption and the expandability are higher.

The embodiment of the invention belongs to the field of artificial intelligence and action recognition, and relates to a behavior discrimination method, which comprises the following steps: acquiring a target monitoring image sequence, carrying out holding detection processing on target monitoring images, generating holding detection images corresponding to the target monitoring images, carrying out content discrimination processing on the holding detection images, and judging whether the holding detection images correspond to the target monitoring images or not. The method comprises the following steps: acquiring a holding detection picture to obtain a content judgment result, performing joint detection processing on the holding detection picture to obtain an action judgment result, and determining a target shooting behavior based on the content judgment result and the action judgment result. The invention further provides a behavior judgment device, computer equipment and a storage medium. According to the invention, the method can achieve the automatic and refined human stealing behavior in a fixed scene through the content discrimination result and the action discrimination result, thereby accurately and rapidly providing an early warning capability for the leakage of privacy information.

The invention relates to the technical field of fire fighting management, and relates to a fire fighting access occupancy event detection and acousto-optic warning processing device and system. Technical problems are as follows: at present, professional and effective identification means for fire fighting access occupancy events are lacked, intelligent automatic detection modes for occupancy objects and vehicles on fire fighting accesses are lacked, and hierarchical linkage with a plurality of responsibility subjects and emergency response integration are not tight enough; according to the technical scheme, the fire fighting access occupancy event detection and acousto-optic warning processing device and system comprise a video access acquisition module, an event detection module and an intelligent linkage processing module; the fire fighting access occupancy event is intelligently identified by adopting an intelligent visual method, and the event is handled through a grading and classifying strategy in combination with the responsibility of a multi-responsibility subject and a rapid handling mechanism. The problems that fire fighting access occupancy events are passively responded and hidden danger risks are not found in advance are solved, potential hidden danger risks are pre-warned through intelligent recognition, a risk prevention system is perfected, and the prevention capacity is improved.

The invention discloses an intelligent DYG selenoprotein NMN composite gradient anti-aging supplement product and an intelligent wearable equipment health management system, and a comprehensive and scientific anti-aging and intelligent health management system is constructed by integrating DYG selenoprotein, NMN and other core anti-aging components, combining various nutrients and traditional Chinese medicine components and integrating the traditional Chinese medicine massage and movement concepts. According to the scheme, through the synergistic effect of the composite components, the antioxidant capacity of the body is remarkably enhanced, damage of free radicals to cells is effectively reduced, and therefore the senescence process is delayed. Meanwhile, the application of the intelligent wearable device enables health management to be more personalized and accurate, and customized anti-aging strategies and health suggestions are provided by monitoring user health data in real time. In addition, health and longevity are promoted through multiple ways of adjusting energy metabolism, improving cardiovascular health, enhancing immunity and the like, and the life quality of the user is comprehensively improved. The combination of traditional Chinese medicine massage and exercise is not only beneficial to body health, but also capable of relieving psychological pressure and improving the overall happiness. On the whole, the anti-aging effect is remarkably improved, the disease prevention ability of the user is enhanced, and the healthy, longevity and vigor life experience is brought to the user.

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 utility model relates to the technical field of slope protection, and discloses a slope protection device which comprises a protection mechanism and a fixing assembly. The protection mechanism comprises a protection net and protection cloth; the fixing assembly comprises a first fixing pipe and a second fixing pipe. The fixing assembly further comprises a fixing inserting piece detachably connected with the first fixing pipe and a fixing piece detachably connected with the second fixing pipe. Through cooperative use of the protection mechanism, the fixing assembly, the protection net and the protection cloth, the effect of preventing surface soil loss can be achieved, the protection net is more tightly attached to the side slope, the gravel prevention capacity is improved, the stability of the side slope is effectively improved, and the service life of the side slope is prolonged. And through the arrangement of a first fixing pipe, a second fixing pipe, a fixing inserting piece and a fixing piece, the protective net and the protective cloth can be stably installed on the side slope, and the protective net and the protective cloth can be conveniently transported.

The invention discloses a security culture comprehensive display method, system and equipment based on a visualization technology and a medium thereof, and the method comprises the following steps: 1, obtaining a target task, collecting production field security culture data according to the target task, building a security culture data warehouse, and storing the security culture data warehouse; security culture data preprocessing is completed based on a big data analysis and mining technology; and 2, constructing a power enterprise production site 3D simulation scene according to the safety culture data warehouse in combination with a 3D simulation technology, and importing the scene into a safety culture visualization platform. By means of the visualization technology, safety risks, hidden dangers and accident site conditions in the power production process can be visually displayed, staff can feel the severity and urgency of safety problems personally on the scene, and therefore the safety awareness and the precaution ability are improved. An interactive training environment can be constructed through a visualization technology, the learning interest and enthusiasm of employees are stimulated, and the participation degree and the feedback effect of the employees are improved.

The utility model relates to the technical field of cameras, in particular to a super-definition monitoring camera which comprises a mounting frame, one end of the mounting frame is detachably connected with a connecting column, the bottom of the connecting column is rotatably connected in a rotating sleeve, the outer wall of the rotating sleeve is in threaded connection with an adjusting screw, and the rotating sleeve is fixedly connected to the top of a connecting frame. The inner side of the connecting frame is rotationally connected with a camera, the bottom of the camera is fixedly provided with a triggering mechanism used for actively triggering early warning, and the triggering mechanism is connected with a buzzer installed in the camera; the trigger mechanism comprises an energy storage assembly fixedly connected to the bottom of the camera, a wax column is clamped to the energy storage assembly, and the two ends of the wax column are clamped in grooves formed in one ends of the limiting plates. According to the super-definition monitoring camera, cloud and local alarm can be realized, so that the defect that an existing camera excessively depends on personnel to actively monitor and alarm is overcome, the fire prevention effect is greatly improved, the shooting angle of the camera can be changed, and the monitoring range of the camera is widened.

The invention provides a network security sensing method and device and computer equipment. The method comprises the following steps: collecting log events of security equipment; analyzing the collected log events of the security devices according to different preset analysis rules to form security events; matching the security events of the security devices with a preset attack sequence model through an event sequence algorithm, and forming a security event chain according to event sequences of the security events; judging whether the similarity of the security event chain reaches a preset similarity threshold value or not; and if the similarity of the security event chain reaches a preset similarity threshold, judging that an abnormal behavior occurs, and sending a security alarm to the user. The method has the beneficial effects that the network security state can be monitored and managed more efficiently, and various security threats can be found and dealt with in time, so that the efficiency and level of network security management are improved.

The invention discloses a power system network security situation analysis method based on a coupling matrix, which belongs to the technical field of power system network security and comprises the following steps: establishing a power grid physical layer model and a power grid information layer model; carrying out information layer and physical layer coupling modeling through the incidence matrix; and based on different attack types, power grid security analysis and recovery strategy formulation are carried out. According to the method, detailed system state information is provided for network security situation analysis, the understanding of dynamic behaviors of the power system is improved, the comprehensiveness of network security analysis of the power system is improved, a scientific basis is provided for identifying and preventing potential security risks, meanwhile, the response capability of the system to network attacks is enhanced, and the safety of the system is improved. According to the method, the predictability and the precaution capability of network attacks are improved, the connectivity of an information layer matrix and the anti-interference capability of a physical layer to information layer signals are improved, the measurement vulnerability of the system is reduced, and the flexibility and the adaptability of network security protection of the power system are improved.

The present invention discloses a panoramic portrait intelligent supervision system for personnel behavior in micro-spaces, including ubiquitous perception module, intelligent learning and training module, image deconstruction module, audio deconstruction module, panoramic three-dimensional management module, comprehensive portrait module, micro-space early warning and supervision module. Based on real-time ubiquitous perception and big data intelligent analysis and calculation, 24-hour all-weather duty for the supervision environment and personnel is realized. Through computer automation and intelligent early warning disposal, the workload of police officers can be greatly reduced, human resource investment can be reduced, and management efficiency can be improved.

The invention discloses a wind power photovoltaic power prediction system and method in a turning weather scene, and relates to the technical field of photovoltaic power prediction, and the method comprises the following steps: obtaining various parameter information generated in the operation process of a data integration platform in real time during the operation of the data integration platform, and carrying out the feature extraction of the obtained parameter information; according to the invention, various parameter information of the data integration platform is acquired and analyzed in real time, the operation state of the system is identified and evaluated in time, the generated system response coefficient can effectively monitor the data processing capability, a power operator is helped to rapidly identify a high-risk operation process and take countermeasures, and the stability of power supply is ensured. A high-risk operation process is subdivided into a burst type, a continuous type and an unstable type, red, orange and yellow early warning signals are sent out, a more scientific risk management framework is provided, the capability of coping with emergencies is improved, economic losses are reduced, and the overall toughness and safety of the system are improved.

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 present invention relates to the field of platform security management technology, and in particular to an enterprise platform security management method and system based on artificial intelligence. The method comprises the following steps: obtaining platform user behavior logs; performing outlier filtering optimization on the platform user behavior logs, thereby generating optimized user behavior logs; performing behavior pattern clustering analysis on the optimized user behavior logs, generating behavior pattern clusters; performing deep feature mining evolution based on behavior pattern clusters, and constructing a platform deep behavior feature map; performing user behavior simulation generation based on the platform deep behavior feature map, and performing malicious behavior mixed insertion processing, thereby obtaining a mixed simulated user behavior sequence; performing interactive behavior response analysis on the enterprise platform based on the mixed simulated user behavior sequence, and generating interactive behavior response feature data. The present invention realizes efficient and highly secure enterprise platform management.

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.

The invention is suitable for the technical field of network security, and provides a network security situation awareness method and system, and the method comprises the following steps: monitoring file data reading information, computer resource occupation conditions and time information; monitoring total flow data and a software operation condition, wherein the software operation condition comprises a name of each operation software and corresponding sub-flow data and resource occupation data; determining abnormal flow data according to the software operation condition and the total flow data, and performing risk analysis on the abnormal flow data; performing risk analysis on file leakage according to the software operation condition and the file data reading information; and calling historical user behavior data, and performing risk analysis on abnormal resource occupation according to the time information, the historical user behavior data, the software operation condition and the computer resource occupation condition. According to the invention, risk analysis is carried out on abnormal traffic data, file leakage and abnormal resource occupation, so that potential security threats can be found in time, and the security risk prevention capability is enhanced.