398 results about "Security assessment" patented technology

The invention discloses a dynamic monitoring method and system for settlement and inclination of a tower drum of a wind generating set, and relates to the technical field of safety monitoring of wind power generation infrastructure, the method comprises the following steps: synchronously collecting inclination data and positioning data of each monitoring point, and carrying out space-time alignment to obtain a fusion data set; decoupling the dynamic elastic response of the tower drum and the steady-state deformation of the foundation from the fused data through frequency domain analysis, and further calculating the overall inclination rate, the settlement amount and the non-uniform settlement rate of the tower drum; performing safety assessment based on the calculated parameters and a preset safety threshold, and determining a basic safety state and a risk mode; and finally, generating graded early warning information and decision information including risk positioning and trend prediction according to an evaluation result. Through the above mode, the method achieves the precise separation and monitoring of the dynamic deformation characteristics of the tower drum, improves the accuracy of safety evaluation and the timeliness of early warning, and provides an effective data support for the operation and maintenance decision of a wind generating set.

The invention provides a vehicle network integration cooperative regulation and control method and system. The method comprises the following steps that 1, the system collects access parameters of multiple types of charging facilities; 2, constructing a power distribution network safety evaluation model based on the data collected in the step 1; 3, determining a charging label of the accessed electric vehicle according to the product of the real-time SOC and the SOH; 4, comparing the three-phase voltage deviation, the current unbalance degree and the load growth rate of the power distribution network with the history in the same period to obtain an overload risk rate, and further calculating a power grid safety margin coefficient; 5, calculating a final safety evaluation result to truly reflect the vulnerability level of the current power grid; and step 6, constructing a digital twinborn model of the target area, performing simulation verification on the initial instruction, and collecting equipment state, vehicle response and power grid operation data after regulation and control. By applying the technical scheme, an efficient and collaborative vehicle network interaction system can be realized, and deep fusion and collaborative development of the energy and traffic fields can be promoted.

The invention discloses a power transmission tower corrosion damage assessment operation and maintenance method and system combining digital twinning and AI, and relates to the technical field of power transmission and transformation project operation and maintenance safety assessment. Based on a parameterized digital twinning base model, a mechanical response and an environmental corrosion rate are obtained by combining environmental parameters, and then a training data set is constructed; training a multi-task machine learning model based on the training data set to obtain a trained multi-task machine learning model; performing feature extraction on the image data to obtain visual features, performing feature extraction on the point cloud data to obtain geometric features, and fusing the visual features and the geometric features by adopting a double-flow feature fusion network based on an attention mechanism to obtain fused features; and inputting the fusion features into a multi-task machine learning model for prediction to obtain a predicted mechanical response and an environment corrosion rate, and then evaluating the corrosion state and predicting the service life so as to realize rapid, accurate and intelligent evaluation and operation and maintenance decision support of the corrosion state of the power transmission tower.

METHOD FOR DYNAMIC SECURITY ASSESSMENT OF STABILITY OF A POWER SYSTEM AND SYSTEM THEREOF The present disclosure relates to a computer-implemented method and system for providing a dynamic security assessment of stability of a power system comprising: receiving input data comprising an operational data record comprising OP-characterizing variables of the power system OP; applying the model to the OP-characterizing variables to obtain a stability classification. It is also disclosed a computer program product and a system configured to carry out the method herein disclosed.

The invention relates to the technical field of intelligent safety management and control of a thermal power plant, and discloses a safety management and control application method and system based on big data acquisition and analysis. The method comprises the following steps: constructing an equipment operation situation map by fusing real-time data streams, and realizing dynamic panoramic perception of a system operation state; key nodes are identified based on the atlas, a real-time safety margin index is calculated by using a safety evaluation model, a dynamic instruction set with priority is generated, and the inspection robot is driven to carry out self-adaptive accurate data acquisition; and the central processing unit updates the atlas by comparing and analyzing real-time and historical data, so as to realize risk re-assessment and early warning. According to the method, equipment monitoring is improved from isolated parameter analysis to global association cognition, a fixed inspection mode is converted into predictive intervention based on real-time risks, and the state perception depth, the early warning timeliness and the resource allocation efficiency are improved.

The invention discloses an energy storage battery thermal diffusion modeling method based on P2D-solid heat transfer coupling, and relates to the technical field of energy storage battery thermal management. The method comprises the following steps: constructing a pseudo two-dimensional (P2D) electrochemical model and a three-dimensional heat conduction model of a single battery, and calculating lithium ion concentration, potential and corresponding heat source distribution; mapping the obtained heat source as a volume heat source to a thermal model and realizing bidirectional feedback; setting a thermal runaway triggering condition to simulate temperature rise abrupt change; battery SOH state modeling is introduced, and the aging process is dynamically corrected and reflected through material parameters; finally, time domain simulation is carried out, and temperature field evolution and safety behavior prediction in the whole life cycle are obtained. According to the method, the coupling process of the microelectrochemical reaction and the macroscopic temperature change of the battery can be captured at the same time, the thermal diffusion characteristics of different decline stages are accurately described, and visual modeling of thermal runaway behaviors is supported. The method has the remarkable advantages of high precision, high applicability, perfect safety assessment capability and the like.

The invention belongs to the field of network security, and relates to a method and a device for constructing a network security operating system, electronic equipment and a storage medium, and the method comprises the following steps: constructing an autonomously controllable improved microkernel infrastructure; based on the microkernel infrastructure, constructing a full-stack layered security control computing architecture base; constructing intelligent agent components, and deploying a multi-intelligent agent collaborative protection component system; integrating trusted computing and an integrity measurement verification system; performing dynamic adaptation and execution of multiple security policies; and a standardized safety evaluation and adaptive optimization closed loop is established. A trusted computing base is cut from a design source, so that the probability of occurrence of high-risk vulnerabilities is reduced; the real-time defense that the threat is changed and the strategy is changed is realized, and the blind area of the static strategy in resisting the unknown threat is made up; the malicious codes can be blocked before running, and the post passive situation that traditional security software only depends on a feature library for searching and killing is broken; and the contradiction between security capability solidification and threat dynamic evolution is fundamentally solved.

The invention discloses a discharge power safety control method and system for a new energy power station. The control method comprises the following steps: step 1, collecting multi-dimensional data in real time; 2, constructing a safety evaluation model fusing the discharge power, the equipment operation state and the power grid parameters by using the multi-dimensional data; 3, implementing different preliminary power regulation strategies based on an evaluation result of the safety evaluation model; 4, evaluating the stability of the power grid in real time; 5, performing dynamic optimization adjustment on the discharge power of the new energy power station by using an intelligent optimization algorithm; the system comprises a data acquisition module, a data processing and safety evaluation module, a power regulation execution module, a power grid stability monitoring module and a control decision module. The method has the beneficial effects that the safety risk of the discharge power can be evaluated more accurately through multi-dimensional data fusion, construction of the safety evaluation model and dynamic adjustment of the weight of each data dimension.

The invention relates to the field of power transmission line risk hidden danger monitoring, and provides an unmanned aerial vehicle wire crossing intelligent detection method and system fused with real-time atmospheric compensation, and the method comprises the steps: measuring an atmospheric extinction coefficient in real time, and obtaining a flight path parameter perpendicular to the axial direction of a wire; synchronously collecting multi-source sensing data to generate an observation data set; generating a lead initial point cloud with a credibility label through feature extraction and Bayesian confidence weight; generating a lead complete three-dimensional track based on a catenary equation and a locust optimization algorithm; generating three-dimensional wire space structure data with sub-meter precision by taking the track point as a control point; and calculating an actual vertical distance based on the elevation difference value and generating a crossing identification report. The system comprises a data acquisition module, a multi-source data acquisition module, a point cloud generation module, a catenary parameter optimization module, a three-dimensional structure optimization module and a safety evaluation report module. According to the invention, through real-time atmospheric compensation and dynamic weight fusion, the detection precision and robustness are improved, and the method is suitable for power transmission line inspection in a complex environment.

The invention discloses an unmanned aerial vehicle performance picture generation method, device and equipment and a medium, and the method comprises the steps: directly generating a line draft image according with an unmanned aerial vehicle performance specification through a multi-modal generation model trained based on a special data set according to text or image input. And carrying out structural analysis on the line draft, and separating a contour skeleton from an internal filling area. In the point distribution stage, key inflection points of the contour are innovatively recognized and locked as fixed anchor points, and it is ensured that geometric features are not lost in follow-up processing; and combining binary search to adaptively calculate an optimal spacing, and applying constraint space relaxation in a filling area. And finally, through local security assessment, minimum addition and deletion are carried out on point locations only on the security line segments, and the target sortie is accurately matched. The problem of low production efficiency caused by excessive manual operation is effectively solved, and the mass production requirement of high-frequency commercial performance is fully met.

The invention provides a bridge parallel steel wire pull sling corrosion fatigue residual life prediction method, and relates to the technical field of bridge safety assessment, and the method comprises the steps: obtaining first information and second information; establishing a random traffic flow model based on the first information; based on the second information and preset bridge pavement irregularity, cable force time history analysis considering vehicle-bridge dynamic response is carried out, and a response time history of a bridge system is obtained through analysis; processing the response time history based on a rain flow counting method to obtain all stress amplitudes of the bridge and corresponding cycle times; and calculating the corrosion fatigue duration of the bridge parallel steel wire pull sling by adopting a time increment method based on all the stress amplitudes and the corresponding cycle times, and outputting the fatigue life of the bridge parallel steel wire pull sling. The method is used for evaluating the residual life of the pull sling in the service period along with the change of the external environment, the evaluation model can be dynamically updated in combination with an actual inspection result, and effective combination of a theoretical model and actually measured data is realized.

A computer system for maintaining the security of a building is provided. The computer system includes a processor and a memory. The processor is configured to: (i) receive data from a plurality of sensors; (ii) apply the data to a trained security assessment model to generate at least one model output, the trained security assessment model configured to compare the data from the plurality of sensors to a plurality of danger profiles; (iii) determine an anomalous event is occurring and a security response to the anomalous event based on the at least one model output, the security response including a plurality of tasks; (iv) trigger a first task of the plurality of tasks; and / or (v) in response to determining a predetermined period of time has elapsed, trigger a second task of the plurality of tasks.

The invention discloses a vehicle-mounted system safety detection and risk assessment system, which belongs to the technical field of vehicle-mounted network safety, and comprises a vehicle-mounted terminal environment sensing module used for collecting multi-level environment information of a vehicle-mounted system, including system layer information, network layer information and safety layer information; the vehicle-mounted configuration file and communication white list detection module is connected to the vehicle-mounted terminal environment sensing module and is used for establishing and maintaining a safety white list library according to the collected system information, comparing the current configuration file, the dynamic library, the port and the certificate state of the system with the safety white list library through periodic scanning, and sending the comparison result to the vehicle-mounted terminal environment sensing module; detecting configuration abnormity and file tampering events; a vehicle-mounted process and control task analysis module; a communication abnormity detection and code identification module; and a safety evaluation and risk feedback module. According to the invention, all-around monitoring and intelligent analysis of vehicle-mounted system configuration, process behaviors and network communication can be realized, and hidden backdoors, abnormal processes and malicious communication can be effectively identified.

The invention discloses a hydro-junction construction period structure safety assessment method and system based on digital twinning, and relates to the technical field of hydro-junction safety assessment, and the method comprises the steps: carrying out the safety correlation analysis of a hydro-junction construction period structure; constructing a multi-level digital twinborn space; the method comprises the following steps: collecting construction monitoring data of a hydro-junction during a construction period, synchronously mapping the construction monitoring data to a multi-level digital twin space for level simulation, and identifying a first type of safety events; and when the first type of security events exist, carrying out influence range tracing and risk conduction analysis, and generating a structure security assessment conclusion. According to the invention, the technical problem of insufficient evaluation comprehensiveness and accuracy caused by the fact that dominant safety event identification and hidden risk mining are difficult to consider in the construction period structure safety evaluation of the hydro-junction in the prior art is solved, and accurate monitoring and targeted risk research and judgment of the construction period structure safety are realized; and the technical effect of improving the comprehensiveness and accuracy of structure safety evaluation in the construction period is achieved.

The invention relates to the technical field of 5G communication security, and discloses a 5G RedCap application layer security test method, system, device and medium for power business, comprising: constructing a power business test scene library, setting a test case for each scene, performing power business communication environment simulation, and in the application layer communication process of a terminal and a master station, establishing a test case for each scene; multiple types of security attacks are dynamically injected to obtain a detection result of the security event; and constructing a multi-dimensional safety evaluation index system, carrying out quantitative scoring and grade evaluation on the application layer safety performance of the 5G RedCap terminal in the power business scene, and generating a test report. According to the method, the test efficiency and consistency are greatly improved, a quantitative security assessment result is provided, the expandability is good, the power business protocol, the business logic and the security risk characteristics are deeply fused, and a business semantic driven security test system is constructed.

The invention relates to the technical field of power transmission line safety monitoring, discloses a power transmission line safety assessment method based on grounding electrode current, and aims to solve the problem of low assessment reliability caused by the fact that the prior art is susceptible to far-field interference and environmental factors, and the method comprises the following steps: synchronously collecting instantaneous current and potential signals of a target and a reference monitoring position; calculating respective original impedance spectrums; performing spatial difference on the target original impedance spectrum and the average reference impedance spectrum of the reference position to obtain a differential impedance spectrum to suppress common mode influence; carrying out time difference on the differential impedance spectrum and a dynamic health baseline spectrum based on real-time environmental parameter prediction to obtain a diagnosis residual spectrum so as to remove environmental changes; and finally, performing safety evaluation and fault diagnosis based on the diagnosis residual spectrum. According to the method, local fault features can be accurately extracted through space-time dual difference, the accuracy and anti-interference capability of evaluation are improved, and quantitative evaluation and graded early warning of health states and identification of specific fault modes can be realized.

The invention discloses a man-machine interaction safety assessment method and system for an intelligent cabin, and relates to the technical field of intelligent driving, and the method comprises the steps: obtaining scene element data which comprises environment elements, vehicle state elements and interaction task elements; generating a dynamic test scene sequence for testing the intelligent cabin man-machine interaction system based on the scene element data; operating a to-be-evaluated intelligent cabin man-machine interaction system under the dynamic test scene sequence, and obtaining multi-dimensional performance data of a user state, an interaction behavior, system performance and a vehicle environment; based on a preset causal graph model, performing causal inference analysis on the multi-dimensional performance data, and quantitatively estimating key factors influencing safety indexes; and according to the result of the causal inference analysis, outputting a safety assessment report containing risk root localization, thereby solving the static limitation of a test scene in the traditional intelligent cabin man-machine interaction safety assessment, and improving the accuracy of safety assessment.

The invention belongs to the technical field of pipeline safety assessment, and discloses a multi-dimensional information interconnection and autonomous evolution collaborative pipeline full-state safety assessment method. And capturing a high-order relationship of data through double hypergraph reasoning of the instance-level hypergraph and the modal-level hypergraph to realize efficient interconnection. According to the method, mode-level and instance-level hypergraph information features are extracted through hypergraph information propagation, high-order correlation is mined through double-graph information aggregation, cross-mode and cross-instance consistency information and exclusive information are output after feature recombination, multi-dimensional data deep fusion is promoted, and high-quality data support is provided for follow-up pipeline full-state safety assessment. A two-stage autonomous evolution mechanism of intra-class progressive calibration and inter-class knowledge migration is respectively adapted to slight fluctuation and significant change scenes of the deep sea environment: precise adaptation of environment perturbation is realized through dual-branch feature extraction and dynamic weight adjustment in a domain; model parameter dynamic optimization is completed between domains through spatial-temporal feature clustering and cross-domain knowledge migration, and dynamic environment self-adaption can be achieved without manual intervention.

The invention relates to the technical field of safety intelligent monitoring of constructional engineering, and discloses a safety assessment and early warning method and system for a dangerous and large engineering project based on multi-source data. According to the multi-source data-based dangerous engineering project safety assessment early warning method, sensor data, video monitoring data, equipment operation data and environment data are subjected to quality assessment and standardization processing; real-time fusion of multi-source data is realized by adopting a weighted fusion technology; performing dimension reduction compression on the high-dimensional features through principal component analysis and independent component analysis, and compressing feature dimensions from hundreds of dimensions to dozens of dimensions; performing risk assessment by adopting a hybrid analysis method combining an expert rule and machine learning; rapid early warning response is realized through adaptive threshold adjustment, and system performance is continuously optimized through incremental learning. According to the method, high-precision and high-real-time safety assessment early warning can be realized under the condition of limited computing resources, and the safety management and control level of the dangerous engineering is effectively improved.

The invention discloses an integrated construction platform safety monitoring method and system for urban updated residences, and relates to the technical field of safety monitoring, and the method comprises the following steps: laying a sensing network to collect stress strain, displacement, inclination angle, load and vibration data in real time; performing abnormal value elimination on the data based on time-space consistency; constructing a collaborative monitoring index system comprising a stress stability index, a load balance index, an attitude deviation index and a wind vibration response index; establishing a multi-parameter fusion safety evaluation model, identifying a stress anomaly region by dynamically distributing index weights, and introducing an environment correction coefficient to obtain a fusion safety evaluation value; and setting a grading early warning range based on the evaluation value, triggering corresponding grade early warning, and synchronously executing a safety regulation action. According to the invention, through multi-parameter cooperative monitoring, abnormal data intelligent identification, whole-field stress distribution reconstruction and environmental factor quantitative correction, the intelligent level of building machine construction safety monitoring is improved.

The invention discloses a transformer substation relay protection equipment constant value remote modification double-confirmation method and system. The method comprises the following steps: receiving a modification instruction of a dispatching master station and generating a dynamic multi-dimensional verification vector; acquiring on-site multi-source sensing data through a near field communication protocol cluster; establishing a security situation assessment model to perform multi-dimensional risk assessment; carrying out multi-modal fusion authentication based on a deep learning algorithm; fixed value modification rehearsal verification is carried out through a digital twin system; issuing an instruction through the security encryption channel and monitoring the equipment state in real time; and finally, writing the whole-process data into the block chain through a consensus mechanism to generate a traceable log. The system correspondingly comprises an instruction analysis module, a verification vector generation module, a multi-source perception acquisition module, a security evaluation module, a multi-mode authentication module, a digital twin rehearsal module, a security execution monitoring module, a block chain recording module and the like. Through multiple security verification and an intelligent decision-making mechanism, the security, reliability and traceability of constant value modification operation are remarkably improved, misoperation and hostile attacks are effectively prevented, and the method is suitable for constant value remote management of an intelligent substation and a regional power grid.

Systems and methods provide agentless security assessment for workloads and cloud posture control across multi-cloud environments. Discovery modules are configured with collection intervals to ingest posture control data including assets, identities, configurations, activities, network flows, and build-time artifacts. A multi-cloud configuration inventory maintains current and historical states and produces misconfiguration and identity-activity findings. For workload vulnerability evaluation, an external snapshot manager obtains point-in-time root-disk state without installing an in-workload agent. A file system data processor derives operating system and package metadata, and a detector matches the metadata against a vulnerability feed refreshed on a recurring basis to identify vulnerabilities. Identified vulnerabilities are correlated with misconfiguration and activity findings to generate prioritized risk exposures. Results are stored per workload and presented through graphical user interfaces that display risk levels, timelines, alerts, and guided remediation, enabling continuous, low-overhead security coverage for cloud workloads and configurations.

The invention discloses an industrial Internet of Things production line safety analysis method, system and device and a medium, and relates to the technical field of industrial Internet of Things, and the method comprises the steps: obtaining the operation environment time sequence data of a target production line and the corresponding fault record data; through a semantic mining model included in a target production line data analysis network, respectively performing semantic coding on the operation environment time sequence data and the fault record data to obtain corresponding operation environment features and fault features; performing cross-domain association semantic coding on the operating environment features and the fault features through the semantic analysis model to obtain corresponding environment fault association features; and performing safety situation assessment on the target production line according to the environment fault correlation features through a safety assessment model to obtain a corresponding operation safety assessment result. The method has the effect of improving the accuracy of safety analysis of the production line.

The invention discloses an urban flood simulation and safety evaluation method, and belongs to the technical field of hydrological data processing and flood rehearsal. The method comprises the following steps: firstly, collecting DEM data of a to-be-processed range, performing projection depression filling preprocessing through ArcGIS software, calculating a flow direction and a flow rate, extracting a river network, and constructing a catchment area and a rainfall flood model; carrying out rainfall simulation and one-dimensional hydrodynamic force calculation by using SWMM software to obtain a river channel and node time sequence flow; then, the flow data are input into HEC-RAS software, two-dimensional hydrodynamic simulation is completed in combination with the terrain, and the flood inundation range and depth are obtained; finally, repeatedly simulating rainfall in different recurrence periods, and dividing flood risk areas according to indexes such as a water depth threshold value and a flooded area. According to the method, full-process automatic processing from rainfall input to flood routing is realized, the timeliness and precision of flood rehearsal are improved, and support is provided for disaster prevention and reduction decisions.

The invention discloses a power industry construction unit safety management and control dynamic evaluation method and system, and the method comprises the steps: constructing a full-scene safety standard knowledge base covering power transmission and transformation and power distribution scenes, and building cross-scene semantic association through a knowledge graph; real-time resource information of a construction unit is obtained, and a basic element parameter model is constructed and dynamically updated through a multi-granularity strategy; based on a project scene matching standard security element set, evaluating the security risk of the whole process through a deep Q network algorithm fusing transfer learning and reinforcement learning, and generating a quantitative index and a resource configuration scheme; and generating project-level, process-level and operation-level three-level management and control instructions and pushing the instructions to the terminal. According to the method, scene self-adaption, resource state real-time mapping and risk disposal closed-loop feedback of safety assessment are realized, and the risk identification timeliness, the resource configuration accuracy and the field instruction executable performance are improved.

The invention discloses a road test route design method and system for an intelligent connected automobile, and the method comprises the steps: determining a full path based on starting point coordinate information and terminal point coordinate information, and processing the full path in combination with user path selection preference and historical test path preference data to generate a plurality of test paths; acquiring historical operation parameters and current operation parameters of path points in the test paths, inputting the parameters into a preset safety evaluation model to output a safety evaluation result, comparing, determining credible path points, and determining candidate test paths from the plurality of test paths according to the credible path points; and selecting a final test path from the candidate test paths according to a preset selection rule. According to the method, pertinence of path design is improved by combining user path selection preference and historical test path preference data, accuracy of safety evaluation is ensured by combining historical and current operation parameters, and scientificity and optimality of final test path selection are realized through a multi-stage objective screening mechanism.

The invention relates to the technical field of bridge construction safety monitoring, discloses a bridge cofferdam construction safety evaluation system and method based on data real-time analysis, and solves the problems of scattered and heterogeneous monitoring data, inaccurate safety state prediction and long risk response time in the prior art. Specifically, multi-dimensional physical parameters of the cofferdam structure and the surrounding environment of the cofferdam structure are collected in real time through a multi-source sensor network; carrying out preprocessing and space-time alignment on the collected original data; inputting the preprocessed fusion data into a dynamic risk assessment model integrated with a random forest and a long-short-term memory network, and predicting a safety state evolution trend of the cofferdam structure in a future time period; and generating graded early warning information and disposal suggestions according to the prediction result, and pushing the information and suggestions to the site construction terminal. According to the technical scheme, fusion and space-time registration of monitoring data are realized, the perspectiveness and accuracy of safety state prediction are improved, the risk response time is shortened, and the intelligent level of engineering management is improved.

The invention discloses a multi-source state trend integrated data fusion method for a weak support large-scale new energy delivery system. According to the invention, a data source identification and hierarchical access mechanism, a multi-source synchronization and calibration method based on a unified time reference, a topology-oriented space mapping method, a trend feature extraction method based on a sliding window and multi-scale analysis, and a state-trend integrated weak support risk characterization index system are constructed; unified modeling and online sensing of key quantities such as voltage supporting capacity, power flow margin, standby level, renewable output fluctuation and the like are realized. Compared with an existing monitoring mode depending on a single system, a single time scale or a single index, the method has the advantages that on the basis of ensuring data quality and time-space consistency, a unified data base and trend sensing capability can be provided for safety evaluation, cooperative regulation and market linkage control of the weak-support large-scale new energy delivery system; and the method has relatively high engineering applicability and popularization value.

The invention discloses a method for calculating and visualizing the bearing capacity of a power transmission line under extreme meteorological conditions based on GIM and WebGIS. The method comprises the whole process from data analysis to real-time stress monitoring. A three-dimensional model of a power assembly is constructed by analyzing a GIM file of a power transmission line, and the three-dimensional model is exported into a standard format for verification. Meteorological data are collected and processed, meteorological parameter influence coefficients are configured, ultimate bearing capacity is calculated, and stress analysis and safety evaluation are carried out. The space coordinates of the sag conductor are calculated based on the three-dimensional model of the power transmission line, and a real-time conductor model is generated in combination with meteorological data and physical parameters of the catenary. And dynamically updating the state of the power transmission line through a three-dimensional visualization technology in combination with the tower model, the stress data, the lead model and the lead deformation degree, so as to find potential risks in time and take countermeasures. According to the scheme, accurate decision support can be provided for safety monitoring and maintenance of the power transmission line.

The invention discloses a computer cluster security protection method and system. The method comprises the following steps: collecting multi-dimensional operation data in real time through an agent program deployed at each node; feature parameters are extracted from the data, and a safety evaluation model is adopted to calculate a safety score and map the safety score into a discrete safety level; gradient protection strategies including basic monitoring, enhanced protection and strict isolation strategies are automatically matched and loaded according to the security level; and monitoring a strategy execution effect, and performing closed-loop optimization on the model parameters based on feedback data. The system correspondingly comprises a data acquisition module, a safety evaluation module, a strategy management module, a strategy execution module and a feedback optimization module. According to the method, the problems of static strategy stiffness, inaccurate risk quantification, single response means and lack of self-learning are solved, dynamic self-adaptive protection is realized, the evaluation accuracy is improved, false alarms and missing alarms are reduced, and the cluster environment is ensured to be safe and reliable.