452 results about "Safety management systems" patented technology

The present invention relates to the technical field of highway maintenance management, and in particular to a highway maintenance safety management system. The system includes a road condition monitoring module, a traffic load assessment module, a traffic flow redistribution module, a maintenance timing determination module, and a maintenance effect verification module, which are used to monitor multi-layer road condition data of the highway, and perform table-deep correlation detection to obtain road surface abnormal point data; quantify the road surface loss risk of the road surface abnormal point data to obtain road surface loss early warning indicators; collect vehicle images and meteorological data; analyze vehicle model loss contribution based on vehicle images; construct an environmental impact coefficient matrix based on meteorological data; construct a dynamic weight model based on vehicle model loss contribution and environmental impact coefficient matrix to obtain a road surface loss dynamic weight model. The present invention improves the efficiency, benefit and intelligence level of highway maintenance management by organically integrating highway maintenance with traffic management.

The invention relates to the technical field of data security management, and discloses a blockchain-based forestry data security management system and method, and the system comprises a data collection unit which is used for comprehensively obtaining a multi-dimensional information flow of forest ecology and resource states; the data processing unit is used for carrying out deep cleaning, standardized regulation and feature value extraction on the originally collected mass heterogeneous data; the block chain storage unit is used for constructing a permanent, tamper-proof and distributed secure storage infrastructure platform of the forestry core data; a verification unit; the safety control unit is used for constructing a covering data transmission, storage and access full-chain depth defense system structure model; a user interface unit; an auditing unit; and a network communication unit. The method is reasonable in design, and the intelligent analysis module is used for processing to form a forest interannual growth trend prediction function distribution map state visual output result set.

The invention discloses a petrochemical equipment fault prediction and safety management system and method, and belongs to petrochemical equipment management. The system comprises the following modules: a working condition sensing and classifying module for realizing real-time identification, classification and feature extraction of the equipment operation state; the health state evaluation module is used for calculating equipment health indexes and outputting an equipment performance degradation trend analysis result; the fault prediction and diagnosis module is used for predicting potential fault types and occurrence time, performing diagnosis analysis on fault mechanisms and providing credibility evaluation of diagnosis results; the risk assessment and early warning module comprehensively assesses multi-dimensional risk factors and generates graded early warning information through dynamic threshold optimization and a multi-stage early warning strategy; the maintenance decision support module is used for optimizing a maintenance strategy and providing resource scheduling and maintenance scheme suggestions based on the equipment health state, the fault prediction and the risk assessment result; and the management and optimization module ensures efficient cooperative operation of each module and continuously improves the system performance.

The invention relates to a hydropower station safety comprehensive management system based on a digital twinborn scene, which designs a hydropower station data resource coding system, establishes a hydropower engineering digital twinborn base, integrates all related geospatial data, basic data, monitoring data and business management data of a hydropower station, and constructs the hydropower station digital twinborn scene. Predicting displacement and deformation conditions of a building structure of the hydropower station and a change trend of important facility and equipment state indexes of the hydropower station, and predicting and pre-judging safety risks therein; the reservoir flow of the hydropower station, the upstream and downstream river section water level, the flow change and the power generation output and the power generation capacity of the hydropower station are forecasted or predicted, corresponding plans are provided for flood early warning or meteorological disaster early warning or water level over-limit early warning, and key links of the plans are simulated in combination with a simulation engine; and performing simulation calculation on different power generation and reservoir scheduling strategies to obtain an optimal scheduling scheme. According to the invention, the intelligent management of hydropower station engineering safety, scheduling safety and power generation safety is realized.

The invention discloses a battery energy storage safety management system based on a BMS, and relates to the technical field of battery energy storage safety management, the system comprises a data acquisition module, a data analysis processing module, an equalization strategy generation module, an equalization execution module and a safety monitoring early warning module; operation parameters of the battery pack and the single batteries are comprehensively acquired through the data acquisition module, the actual operation state of the battery pack is accurately sensed, health factors are calculated by comprehensively considering multiple factors, weight coefficients are dynamically adjusted, the characteristics of the single batteries are comprehensively considered, and the charging and discharging states of the battery pack are calculated according to the health factors, the charging and discharging stages and the environment temperature. The equalization strategy and current are determined through a self-adaptive algorithm, dynamic response to the running state of the battery pack and environment change is achieved, equalization operation is accurately executed through the equalization execution module, accurate equalization control is achieved, and through real-time monitoring of the safety monitoring and early warning module, safe running of the battery in different environments is guaranteed, the performance of the battery is improved, and the service life of the battery is prolonged.

The invention discloses an intelligent management system for nuclear power plant personnel situation prediction and risk assessment, and relates to the field of intelligent safety management systems, and the system comprises a data collection unit, a multi-dimensional situation awareness unit, a risk prediction and assessment unit, an intelligent decision intervention unit and a visual interaction unit. And multi-source data acquisition, real-time situation construction, dynamic risk prediction and evaluation, intelligent early warning intervention and information visualization are realized. According to the invention, real-time monitoring, dynamic risk prediction and intelligent management of the safety state of the operating personnel can be realized, and the defects of real-time monitoring, dynamic prediction and intelligent management of the operating personnel in a high-risk area in the prior art are overcome, so that the safety management level is improved, the life safety is guaranteed, and the accident occurrence probability is reduced.

The invention discloses an intelligent building safety management system based on big data, and belongs to the technical field of intelligent buildings. Comprising the following modules: a multi-source data fusion and preprocessing module, which adopts intelligent data standardization and feature extraction technologies to realize efficient integration and semantic conversion of cross-source heterogeneous data and ensure data quality and consistency; the security risk dynamic knowledge graph construction module is used for constructing a semantic association network of building security elements through a graph neural network so as to continuously self-learn and dynamically update a risk feature relationship; the intelligent risk assessment and early warning module is used for carrying out comprehensive modeling, accurate positioning, layered assessment and intelligent early warning on building safety risks; the safety decision support module is used for providing an executable risk assessment report and an emergency decision suggestion; and the safety management visualization module adopts an interactive multi-dimensional visualization technology to intuitively present the dynamic evolution process of the building safety risk, so that the risk perception and management efficiency is remarkably improved.

The invention discloses a construction site intelligent safety management system and method based on a BIM technology, and relates to the technical field of constructional engineering, and the method comprises the following steps: S100, building a three-dimensional digital model of a construction site by using BIM software, and collecting construction site data by deploying a video camera, personnel positioning equipment and an environment sensor; s200, preprocessing the acquired data, and performing potential safety hazard identification and environment detection on the construction site; s300, fusing and displaying the generated BIM three-dimensional digital model and the processed data through spatial alignment, data mapping and dynamic updating; s400, calculating the probability of occurrence of potential safety hazards on the construction site and a comprehensive decision score; and S500, carrying out quantitative assessment on the potential safety hazards of the construction site by constructing a risk assessment model, sorting the calculated risk scores of the potential safety hazards, and determining the priority processing sequence of the potential safety hazards of the construction site, so that intelligent safety management of the construction site is realized.

The invention relates to the field of battery safety management, in particular to a battery pack safety management method and system based on an intelligent algorithm. A battery pack safety management system based on an intelligent algorithm comprises a battery pack parameter monitoring module, a weight calculation module and a fault prediction module. According to the method, key parameters such as the single voltage, the total voltage, the charging and discharging current and the cell surface temperature are acquired in real time, the dynamic threshold values of the total voltage, the charging and discharging current and the charge state are calculated respectively, judgment is performed in combination with the preset fixed threshold value, abnormal conditions in the running process of the battery pack can be found in time, and corresponding abnormal response measures are executed; comprehensive real-time monitoring and dynamic threshold judgment of the parameters of the battery pack are achieved, the safety and reliability of the battery pack are effectively improved, and safety accidents caused by abnormal parameters are prevented.

The invention relates to the field of hospital patient safety management, and particularly discloses a hospital patient safety management system and method based on data analysis, and the method comprises the steps: firstly obtaining the hospitalization record of a patient, the heart rate values, collected by an intelligent device, of the patient at a plurality of preset time points, and the blood pressure values, collected by the intelligent device, of the patient at a plurality of preset time points; and then feature extraction and correlation analysis are carried out on the three by using a deep learning technology, and finally whether a patient safety early warning is sent out is judged through a classifier, so that the patient nursing quality is improved, and the response speed to the health condition of the patient is improved.

The invention discloses a smart city public safety management system based on video monitoring, and relates to the technical field of public safety management, original video data streams and a real-time road data set D are collected in real time through an API interface, a time sequence feature matrix TSM and a road congestion coefficient Ck are generated, and the data integration efficiency is improved. The behavior feature extraction module identifies group behavior features through target detection and an optical flow algorithm, and encryption transmission guarantees privacy. The risk prediction module calculates a cross-regional risk index RRI based on federated learning, triggers a response mechanism and accurately early warns risks, and the dynamic decision module combines real-time data to generate a resource scheduling scheme and selects a proper path and callable resources. Through the combination of the execution feedback module and the driving iterative optimization module, the algorithm is dynamically adjusted, closed-loop management is formed, the problems of data splitting, response lag and model stiffness of a traditional system are solved, and the real-time performance, the accuracy and the scene adaptability of public safety management are remarkably improved.

The invention provides a user travel data safety management system and method based on cloud computing, and the system comprises a multi-source data collection and adaption module which is used for collecting user travel data from various types of travel equipment; the hybrid encryption transmission channel module is used for establishing a safe transmission link between the data acquisition terminal and the cloud computing platform; the privacy screening and desensitization module is used for identifying and processing privacy sensitive contents in the data received by the cloud computing platform; the distributed storage architecture module is used for reliably storing user travel data on the cloud computing platform; the authority control and auditing module is used for controlling the calling authority of the external main body to the user travel data and auditing the data access condition; the data backup and recovery scheduling module recovers data when data risks exist; and the data visualization and analysis auxiliary module is used for presenting the data in a visualization mode. According to the invention, confidentiality, integrity and availability of travel data transmission and transparency and traceability of data access are ensured.

The invention relates to the technical field of safety management, in particular to an intelligent safety management system based on municipal engineering, which comprises a construction area risk dynamic assessment module, a hierarchical dynamic inspection frequency optimization module, an inspection path optimization module, an abnormal behavior monitoring module and a high-risk area early warning module. According to the method, quantitative safety assessment basis is provided for different types of operation by utilizing the environmental data of the construction area, combining with historical accident records and calculating the construction risk level, the inspection frequency is dynamically adjusted according to the risk level of the construction area, the self construction progress and abnormal records, so that the inspection resources are inclined to a high-risk area, and the inspection efficiency is improved. The polling efficiency is improved, meanwhile, the pertinence of safety management is enhanced, in combination with positioning information of constructors and boundary data of a high-risk area, the moving track of the constructors is analyzed, early warning is triggered when the constructors enter the high-risk area, safety risks are intervened in time, the safety supervision capacity of municipal engineering construction is improved, and the probability of construction safety accidents is reduced.

The invention, which relates to the technical field of intelligent security management, discloses a smart park security management system comprising a data sensing module, an edge calculation module, an intelligent analysis module and a command execution module. According to the system, related safety data of the park are collected in real time in a multi-source mode through the data sensing module, the data collected in real time are locally preprocessed through the edge calculation module, the global safety situation in the park is sensed, then the data collected in real time are analyzed and processed through the intelligent analysis module, graded early warning signals are generated, and the safety of the park is improved. And finally, corresponding early warning emergency operation is executed through a command execution module, so that real-time monitoring, intelligent early warning and automatic emergency response of the safety of the smart park are realized, the safety management efficiency and accuracy are improved, the problems of response lag, data island and the like in the safety management of the traditional park are solved, and the safety of the park is improved. And full-process management from data acquisition, intelligent analysis to automatic disposal can be realized, and the safety protection capability of the park is remarkably improved.

The invention discloses an RSIC-V CPU security chip based on authority management, and belongs to the technical field of security startup. Comprising an embedded RSIC-V CPU core, and the embedded RSIC-V CPU core is connected with an ROM authority management module, a safety management system register and a safety authority management module. The ROM authority management module is connected with the secure ROM firmware; the security authority management module is connected with a plurality of security modules; when users with different identities access the secure ROM firmware, identity recognition is carried out, and security services with different levels are provided according to the permission of the recognized user identities. According to the method, only the request passing signature verification and security authority management authentication is allowed to access the security module, the service uniqueness of the security module is ensured, the chip security module can be pertinently accessed only through authorized upper software, the access is non-direct access, security service is carried out through ROM firmware, and a service result is fed back to the upper software, so that the security module can be accessed in a targeted manner. The security of the security module is ensured from the circuit, and the attack difficulty of the chip is greatly increased.

Disclosed is a BMS-based battery energy storage safety management system. The system comprises a BMS module, a control center module, an evaluation analysis module, a coupling analysis module, a prediction module, and a data storage module. The BMS module collects monitoring data of a battery under different operation states and then, according to the monitoring data, performs initial monitoring of a real-time health state of the battery. The evaluation analysis module, according to a change in data indicators in the monitoring data, evaluates and analyzes all fault analysis models in the BMS module to obtain an evaluation analysis result. Then the coupling analysis module combines the evaluation analysis result with the data indicators of the monitoring data to retrieve multidimensional spatio-temporal data, and constructs a coupling field model to perform coupling analysis on battery operation state. The prediction module then constructs a fault prediction model by using a coupling data set as training data, accurately locates coupling faults of different coupling surfaces, and implements comprehensive analysis and location of coupling faults.

The invention provides a railway construction safety management system based on a global linkage system, and belongs to the technical field of railway construction management, and the system comprises a material resource management module which carries out the management of material resources; the environment risk early warning module monitors the surrounding environment condition of the construction area in real time and performs assessment and early warning on the environment risk; the personnel safety management module is used for acquiring position and state information of operating personnel in real time, and evaluating and early warning operation behaviors of the operating personnel; the equipment safety management module is used for collecting equipment operation data in real time, analyzing equipment operation states and operation behaviors and predicting operation risks, equipment faults and maintenance requirements; the to-do list management module is used for uniformly managing and tracking various tasks and sending task information to related personnel; and the station yard global early warning module is used for integrating data of other modules and carrying out centralized data processing and analysis. According to the scheme, information intellectualization is realized, the management efficiency is effectively improved, and the construction collaboration is enhanced.

According to the house leasing information management system and method provided by the invention, comprehensive, efficient and safe management of house leasing information is realized in combination with a special hardware system and terminal equipment. The system integrates a plurality of cooperative work modules such as block chain data storage, intelligent housing resource recommendation, dynamic credit evaluation, automatic contract management and privacy protection, and adopts advanced technologies such as a distributed account book, a deep neural network, a graph neural network and an intelligent contract. And data cannot be tampered, recommendation is personalized, credit evaluation is accurate, contract management is automatic, and user privacy is strictly protected. Meanwhile, the system is provided with hardware supports such as a high-performance computing and storage cluster, security encryption and privacy protection equipment and the like, and special terminal equipment provides convenient user interaction experience. According to the invention, transparency, efficiency and user experience of the house renting market can be significantly improved, renting risks are reduced, rights and interests of both renting parties are guaranteed, and healthy development of the house renting industry is promoted.

The invention discloses a safety production management method and a production safety management system based on safety helmet detection, and relates to the technical field of production safety management. Multi-modal data acquisition is realized by constructing an explosion-proof intelligent camera cluster and a wearable positioning terminal, an improved YOLOv7-Tiny model and an HRNet key point detection technology are adopted, illumination compensation, atomization elimination and data enhancement technologies are combined, and precise recognition of the wearing state, the angle deviation and the compliance of the safety helmet is completed; triggering hierarchical response in real time based on a five-level dynamic early warning rule, predicting a future risk probability of an operator through an optimized MLP prediction network in combination with historical violation data, and formulating a personalized scheme; according to the invention, a closed-loop management system of real-time monitoring, intelligent early warning, behavior prediction and active intervention is formed, the occurrence rate of safety accidents is significantly reduced, and the safety standardization of operators and the safety management efficiency of enterprises are improved.

The invention discloses a circumferential weld safety management system and method based on a knowledge graph, and the system comprises a data collection and processing module which is used for collecting data related to a circumferential weld in an oil and gas transmission pipeline from various data sources, and carrying out the preprocessing and cleaning of the collected data, and obtaining the preprocessed data; the knowledge extraction and graph construction module is used for extracting key information from the preprocessed data and constructing a knowledge graph based on the key information; the risk sorting and hidden danger positioning module is used for carrying out correlation analysis based on the knowledge graph, determining risk key factors and carrying out risk sorting based on the risk key factors so as to determine target positioning information of risk circumferential welds in the oil and gas transmission pipeline; and the defect automatic analysis module is used for acquiring a magnetic flux leakage internal detection signal of the risk circumferential weld according to the target positioning information, and performing defect analysis based on the magnetic flux leakage internal detection signal to obtain a defect type and a defect grade of the risk circumferential weld. And the efficiency of positioning the hidden danger of the circumferential weld of the oil-gas transmission pipeline is greatly improved.

The invention discloses a block chain-based blood full-process traceability tracking and safety management system and method, and relates to the technical field of blood management, and the method comprises the steps: distributing an encrypted digital identifier with a timestamp for each blood unit; collecting physical characteristic data of the blood storage environment in real time; dynamically adjusting the state mark of the blood product based on a preset plasma quality evaluation model; a threshold signature technology is adopted to ensure that multiple medical institutions complete blood information verification and sharing on the premise of protecting privacy; when it is monitored that the blood environment parameters exceed a safety threshold value, graded early warning is generated, and an emergency processing flow is started; and establishing a blood circulation whole process auditing tracking system. The system has the advantages that the blood whole-process traceability system based on the block chain is constructed, transparent credible management of the whole life cycle of blood products from collection to use is achieved, the trust and privacy protection problem in multi-mechanism cooperation is solved, and the blood safety management level and the emergency processing efficiency are comprehensively improved.

The invention relates to the technical field of intelligent manufacturing and industrial Internet of Things, in particular to an intelligent factory equipment safety management system and method, and the system comprises an identity authentication module, a dynamic safety interaction module, an intelligent monitoring response module and a self-adaptive optimization module. An identity authentication module; through fusion of multi-dimensional information authentication, block chain decentralized storage, intelligent algorithm behavior analysis, encrypted communication and fine-grained authority control, multi-source data threat detection and reinforcement learning driven strategy optimization, a whole-process security system is constructed. The method comprises the steps of identity authentication, security interaction, monitoring response and adaptive optimization. The problems that in a traditional industrial scene, equipment identity authentication is fragile, data transmission is not safe, threat response lags and strategies are staticized are solved, high-safety authentication, dynamic encryption communication, real-time threat response and strategy self-optimization are achieved, and the equipment safety protection capacity and the system intelligence level are improved.

The invention relates to the technical field of data management, in particular to a grain informatization data safety management system, which comprises an environment dynamic optimization module, a data management module and a data management module, wherein the environment dynamic optimization module is used for collecting temperature, humidity, gas components and illumination intensity parameters in a grain storage environment, calculating a parameter deviation value of the current environment, and adjusting environment parameters by dynamically evaluating a membership degree; and generating environment optimization adjustment parameters. According to the invention, by collecting multiple parameters such as temperature and humidity, gas components, illumination intensity and the like in the grain storage environment and based on dynamic comparison and deviation value calculation of monitoring data, the accuracy and adaptability of environmental data are improved. And the deviation condition of the environmental parameters is dynamically evaluated, so that the storage condition can be adjusted in time, and the potential influence of the uncertainty and fluctuation of the storage environment on the food safety is reduced. The abnormal points of the environmental data are analyzed, and the fluctuation rule and the dynamic characteristics are extracted, so that potential problems can be quickly identified, abnormal characteristic indexes are generated, and a basis is provided for subsequent processing.

The invention relates to a big data security management system, and provides a security management system covering a whole life cycle aiming at the problems of untrusted source end, link leakage, centralized storage of single points, extensive authorization, disposal lag and the like. The system comprises an acquisition security module, a transmission encryption module, a storage security module, an access control module, a threat detection module, a situation awareness module, a traceability module and an emergency response module. A session basis is generated through multi-factor authentication, a dynamic key is derived according to time slices, and data fragments are encrypted one by one; distributed storage is adopted, and metadata is chained to be non-tampered; implementing fine-grained authorization by taking the attribute as a core; utilizing a sequence model linkage knowledge graph to identify abnormity and calculate a risk index; and when the threshold is exceeded, automatically reconstructing a log chain and executing isolation, alarm or recording. According to the system, trusted acquisition, confidential transmission, traceable storage, fine authorization and automatic disposal are realized, and the safety and compliance are remarkably improved.

The invention discloses a thermoelectric enterprise safety management system and method based on integration, and relates to the technical field of thermoelectric production safety control. The system performs quantification processing on the collected real-time disturbance data set through a preset coupling algorithm to generate a risk pre-coupling factor representing a multi-source disturbance coupling risk; generating a predicted operation state of a future time node in combination with a current operation state set representing the operation condition of the equipment; the prediction operation state is compared with a preset operation safety threshold value, the safety and stability margin is calculated, an original control target of the unit is dynamically adjusted, and the system generates a prediction error by comparing the prediction operation state with a subsequently collected actual operation state; and the prediction model correction parameters of the prediction model are corrected by using the prediction error, and online adaptive adjustment of the prediction model is realized, so that quantitative evaluation of multiple disturbance coupling effects is realized, and a decision basis is provided for predictive risk prevention and control.

The invention provides a chemical industry park safety management system and method based on the Internet of Things. The method comprises the following steps: collecting multi-source monitoring data in a chemical industry park to generate a dynamic monitoring data set; applying space-time causal constraints to multi-hop connection paths in the topological graph of the equipment in the chemical industrial park to generate path confidence distribution; constructing entity feature embedding of each device in the chemical industry park, and determining a time-varying causal incidence matrix through all entity feature embedding and path confidence distribution; dividing risk equipment groups with different risk levels, and constructing a risk propagation tensor of the equipment risk partition topology network in the chemical industry park through each risk equipment group; and generating a dynamic risk vector through the time-varying causal incidence matrix and the risk propagation tensor, and carrying out early warning on the safety risk in the chemical industry park based on the dynamic risk vector. By adopting the scheme of the invention, time-space registration can be carried out on the multi-source monitoring data of the sensing nodes of the Internet of Things, and the time-varying causal relationship between the devices can be mined, so that dynamic safety risk early warning can be realized.

The invention relates to the technical field of intelligent management, in particular to an intelligent medicine safety management system based on voice navigation and an application method of the intelligent medicine safety management system. The storage unit is arranged to be used for storing a plurality of medical articles, and the medical articles are provided with attribute information including the valid period; the triggering module is used for opening the storage unit and triggering and reminding the position of the matched medical article or triggering the medical article to be discharged to the medicine outlet; the identity recognition module is used for recognizing personnel information of personnel operating the mobile medicine vehicle; and the voice control module is configured to receive voice information of a person at first, then identify key information including the medical articles from the voice information, then find the positions of the corresponding medical articles from the storage unit, and then transmit the position information to the trigger module to obtain the corresponding medical articles. The defects of an intelligent management system in the aspects of traceability and accurate management are overcome.

The invention relates to the technical field of lithium battery safety, in particular to a lithium battery energy storage safety management system and method. The method comprises the following steps: acquiring a real-time heterogeneous invasion characteristic quantity of an environment where a lithium battery is located, analyzing heterogeneous pollutant invasion characteristics based on the real-time heterogeneous invasion characteristic quantity, and integrating to form a multi-source invasion data set; based on the multi-source invasion data set, performing multi-level security risk coupling modeling, and outputting a comprehensive risk level; based on the comprehensive risk level, a defense mechanism is activated in a self-adaptive mode, and a cross-dimension defense strategy is generated; and according to the cross-dimensional defense strategy, evaluating the state of the battery after defense, and generating and outputting a security defense efficiency report. According to the method, a dynamic mutual feedback mechanism of pollutant invasion characteristics and multi-level safety risks is combined, safety weak points and evolution trends of the lithium battery energy storage system on the underground inspection robot are identified, rapid response to high-risk invasion scenes is realized, potential risks are timely solved, and local abnormity is prevented from being upgraded into systematic safety accidents.

The invention discloses an enterprise risk data security management system and method, and relates to the technical field of enterprise data security management, and the method comprises the following steps: carrying out the risk grade division of enterprise internal data through an administrator account according to the enterprise platform internal data, carrying out the statistics of enterprise employee information, and building an employee database, endowing different levels of employees with data access permissions; aiming at the risk data stored in the enterprise platform, collecting access behaviors of different users having authority to access the risk data to the risk data, comprehensively judging whether the current risk data has a leakage risk in combination with access habits of the different users, and labeling a risk level; and according to the risk level of the current risk data, performing data protection, including temporary blocking and permission blocking, on the current risk data, and feeding back an exception to the administrator account. According to the invention, the internal data of the enterprise is comprehensively managed and protected by combining the accessed record of the enterprise data with the access behavior habits of the employees.

Disclosed is a method of more effectively managing and displaying an Information Security Management System (ISMS), or Cybersecurity Framework, by an application executing on a computer device for computing and displaying real time dynamic metrics and market comparison for the User. The method includes authenticated and authorized Users to conduct security baselines based on industry accepted standards in order to establish a plurality of metric baselines dynamically and in real time. The method further includes projects submitted to be measured against organizational goals and simulate the impact to the Security baselines. The method further includes the ability to provide financial visibility into the financial exposure of a Security Breach, or Data exfiltration and other available financial metrics. The method further includes a platform by which companies may request Virtual CISO's services from a pool of executive level resources.