11 results about "Significant risk" patented technology

The invention discloses a subway safety risk and emergency capability assessment method and device based on scene construction. The method comprises the following steps: acquiring and preprocessing subway accident data; subway risk area accident scene construction is carried out based on the preprocessed subway accident data; performing risk assessment on each risk area of the subway based on the accident scene of the risk area of the subway; determining a major risk event according to the risk assessment result; configuring a corresponding emergency task according to the major risk event, and performing emergency drilling according to the emergency task to obtain drilling data of each drilling role in the drilling process; and based on the drilling data of each drilling role and the emergency preparation data of the subway system, carrying out emergency capability evaluation to obtain an emergency capability evaluation result. The method has the remarkable effects that the emergency capability evaluation model is constructed to evaluate the emergency capability, so that the overall emergency capability of the urban subway system is improved, and a powerful guarantee is provided for safe operation of the subway.

The invention relates to the technical field of intelligent management, in particular to an intelligent management system based on land survey data, which collects and stores a sample image of the land survey data through a collection assembly, monitors the regional temperature of hardware storage equipment through a monitoring module, and obtains the data sample image resolution of the hardware storage equipment. And storing monitored historical data through a prior analysis module. Further, a control module determines a significant risk impact period and a weak risk impact period based on the device operation risk tendency characterization value, and monitors a hardware storage device to determine whether sample image characterization parameters predict whether the land survey data transmission efficiency meets a predetermined criterion, to determine whether to start the thermal compensation device. The influence of the temperature difference of hardware storage equipment on the land survey data sample image acquisition efficiency in the system operation process is considered, the thermal compensation device is adaptively intervened, and then the land survey data sample image acquisition efficiency of the intelligent system is guaranteed.

Processes are provided based on an interventional (device-based) approach to minimize the development of intramyocardial hemorrhage within the myocardial infarction (MI) zone. In one exemplary process, the revascularization occurs in an incremental fashion prior to fully opening the vessel, so as to modulate the hydrostatic pressure transmitted from the proximal end of the catheter, prior to placing a stent. In another exemplary process, the stent will be placed within the central core of the embolization and will slowly expand within the lumen reaching full patency over a period of time. Devices operated with these processes can also greatly reduce the chance of development of intramyocardial hemorrhage with the MI zone. These developments can improve the outcome in hemorrhagic patients, who otherwise carry a significant risk for heart failure and sudden death.

The application relates to the technical field of environmental treatment, and discloses a stress and gas composite disaster zoning and grading collaborative treatment method based on a risk matrix method. The stress and gas composite disaster zoning and grading collaborative treatment method based on the risk matrix method can realize real-time monitoring of stress evolution of a working face in a mining process by a stress monitoring system, automatically generate stress contour lines, and effectively divide low stress areas, medium stress areas and high stress areas. A gas geological visualization system can visualize gas occurrence conditions of the working face area, effectively improve the evaluation accuracy of the gas occurrence of the working face, accurately divide low gas areas, medium gas areas and high gas areas, and investigate effective drainage radii of different gas occurrence areas in combination with field conditions. On the basis of comprehensive analysis of the gas geological visualization system and the stress monitoring system, the risk matrix method is used for risk identification, risk judgment and risk evaluation of the working face area, low risk areas, medium risk areas, high risk areas and major risk areas are effectively divided, and different treatment measures are taken for different risk areas.

The present invention relates to the field of intelligent management technology, and in particular to an intelligent management system based on land survey data, which collects sample images of land survey data for storage through an acquisition component, monitors the temperature of the hardware storage device area and obtains the resolution of the hardware storage device data sample images through a monitoring module, and stores the monitored historical data through a priori analysis module. Furthermore, a control module determines the significant risk impact period and the weak risk impact period based on the equipment operation risk tendency characterization value, and monitors the hardware storage device to determine whether the land survey data transmission efficiency predicted by the sample image characterization parameters meets the predetermined standard, so as to determine whether to enable the thermal compensation device. The present invention takes into account the impact of the temperature difference of the hardware storage device on the land survey data sample image acquisition efficiency during the system operation, and adaptively intervenes in the thermal compensation device, thereby ensuring the land survey data sample image acquisition efficiency of the intelligent system.

This invention belongs to the field of elevator safety technology and discloses an intelligent system for elevator fault early warning and handling with artificial intelligence. It constructs a seven-dimensional data system through a data acquisition and preprocessing module, and combines a blockchain consensus and federated transfer learning dual-drive architecture with a chain-connected learning module to extract multi-dimensional fault features and generate early warning models adapted to different operating conditions. The dynamic early warning module adopts a three-drive mechanism of reinforcement learning decision-making, multi-dimensional threshold dynamic evolution, and fault trend prediction, which can predict fault evolution trends, dynamically optimize early warning thresholds, improve early warning accuracy, and reduce false alarm and missed alarm rates. Through a hierarchical response mechanism, major risks can be directly linked to emergency measures to avoid safety accidents such as people entrapment and elevator falls caused by the escalation of faults. The visual positioning module is based on an optimized YOLOv8 architecture, integrating a small target enhanced detection unit and a low-light adaptive enhancement module, which can accurately identify minor faults such as broken wire ropes and slight guide rail misalignments.

The invention discloses a safety intelligent identification and early warning system for a non-coal mine mountain top plate, and the system specifically comprises a multi-source sensor data collection module, a data processing and feature extraction module, an intelligent identification and risk assessment module, a grading early warning and decision support module, and a linkage control and emergency disposal module. According to the invention, the early warning response is carried out according to the score corresponding to the specific risk index, the multi-level and multi-dimensional early warning information is generated, and the targeted disposal suggestions are provided according to the early warning information, so that corresponding decision support is conveniently carried out according to the response levels of different risks, and the risk assessment efficiency is improved. And linkage control is performed on the early warning information and the mining equipment through the linkage control and emergency disposal module, so that the risk response and the equipment can be subjected to linkage control through linkage of different types of control measures in the process that the risk level is in a general risk, a relatively large risk and a major risk, and the risk level is improved. The intervention measures are actively triggered in different risk scenes, and the accident loss is reduced.

The invention relates to the technical field of light guide plate production, and particularly discloses a visual light guide plate production intelligent management and control system and method, and the system comprises a data collection module, a data processing module, a risk assessment module and a visualization module. The data acquisition module respectively acquires key process parameters and environmental parameters through an equipment sensor and an environmental sensor; the data processing module performs cleaning, noise reduction, standardization and feature extraction on the data, and calculates risk coefficients of injection molding, laser engraving and coating deposition in stages; the risk assessment module realizes dual judgment of significant risks and potential risks through threshold comparison and vector matching degree analysis; and the visualization module displays whole-process data and early warning information in real time. According to the invention, whole-course visual monitoring, multi-parameter fusion risk assessment and intelligent early warning of the production process of the light guide plate are realized, and the stability of the production process and the product quality controllability are remarkably improved.

The invention relates to the technical field of electrical equipment monitoring, and discloses an electrical equipment operation risk perception and identification system. The system comprises a real-time operation state monitoring module which can collect a time sequence data set of voltage fluctuation, current waveform and temperature distribution. The multi-dimensional risk feature extraction module receives the data, performs spatio-temporal feature fusion through a multi-scale convolution kernel group, and generates a time sequence operation feature vector set. And a feature optimization screening module executes feature decoupling based on risk sensitivity on the vector set, and extracts an optimized risk feature subset with significant risk characterization capability. The risk feature migration calculation module inputs the risk feature migration index set into a risk evolution atlas network and calculates a risk feature migration index set of adjacent monitoring periods; and the risk evolution rate quantification module performs time differentiation on the migration index set according to a preset period interval to generate a risk characteristic evolution rate parameter. And the risk decision generation module carries out multi-level matching on the parameter and a predefined risk threshold pedigree, and outputs a risk regulation decision instruction.

The invention discloses a dynamic simulation and agile response method for major risks of grassroots of a super-large city, which relates to the field of data analysis, and comprises the following steps: deploying a distributed network comprising adaptive mobile sensing nodes and static monitoring terminals by taking urban grassroots governance units (including streets, towns and communities and villages to which the streets, towns and communities and villages to which the towns belong) as a division basis; collecting multi-source heterogeneous risk data related to population flow, infrastructure operation, environmental parameters and social activity characteristics in real time; according to the method, a city grassroots governance unit is taken as an object, multi-source heterogeneous risk data are collected in real time by deploying a distributed network, a standardized data set is generated through space-time alignment and feature extraction, grassroots risk key information can be accurately captured, and data redundancy and noise interference are reduced.

Under conditions where the number of observations, time, and computing resources are finite, the evaluation results obtained are Even if it is not possible to fully determine whether or not it is verifiable, the evaluation will be finalized immediately. Conventional methods have risks such as misjudgment, unclear attribution of responsibility, and significant risks in subsequent operations. There was a problem that arose. [Solution] The present invention determines verifiability based on input observation data or trial results, If it is difficult to finalize the evaluation, an evaluation deferral token will be issued to delay the finalization of the evaluation. This invention provides an evaluation confirmation delay control method and system for switching to a limited operating mode. This avoids incorrect evaluations even under finite observation conditions, and after the conditions for re-evaluation are met... This enables accurate and reliable evaluation.