5 results about "Environmental security" patented technology

The invention discloses an information and environment security risk identification method based on multi-modal data analysis, and aims to solve the problem that the'coupling risk 'of information security and environment security in a network-physical system is difficult to jointly identify. The method comprises the following steps: acquiring and aligning network side data and environment side data with timestamps and asset identifiers; outputting a network anomaly probability, an affected control object and a control instruction parameter by using a Transform network side security detection model; constructing two groups of boundary conditions of an abnormal control instruction and a baseline control instruction based on the affected control object, and performing conditional deduction in the physical information neural network model to obtain two environmental state prediction sequences; calculating an anti-fact deduction residual score according to the residual difference between the observation data and the two prediction sequences; and inputting the network side evidence and the environment side evidence into the micro evidence fusion model to obtain a coupling risk score and grade, and outputting a corresponding influenced control object, thereby realizing the technical effects of interpretable joint identification and grading early warning of the information security and environment security coupling risk.

The application discloses a kind of based on deep learning's tunnel environment safety risk assessment method and system, comprising: obtaining the multi-source data of tunnel, if satisfying preset condition then obtaining environmental data;Image data is extracted to feature, and damage feature vector is obtained;Environmental data and damage feature vector are input into prediction model, to output damage propagation risk index;Based on stress distribution data, the structural stability coefficient of tunnel is calculated, and damage propagation risk index, structural stability coefficient and environmental data are input into risk assessment model, to generate the first influence weight of damage propagation risk index and the second influence weight of structural stability coefficient according to environmental data, and based on the first influence weight and the second influence weight respectively on damage propagation risk index and structural stability coefficient Fusion, obtain the environmental safety risk assessment result of tunnel, therefore, by implementing the application, it can improve the accurate evaluation of tunnel collapse risk.

This invention discloses a mining path optimization method and system incorporating geological data, belonging to the field of path optimization technology. A mining path optimization system incorporating geological data includes a geological data modeling module and a mining path optimization module. This invention introduces the mining heat hazard mechanism into the path planning process, and by constructing mining environmental load data and an environmental saturation model, it achieves a quantitative assessment of the risks of high temperature, high humidity, and pollutant accumulation, avoiding the heat hazard hazards caused by traditional path planning neglecting environmental safety factors. Based on real-time geological monitoring data and roadway topology, it dynamically calculates the heat and moisture exchange capacity and pollutant dilution capacity of roadway nodes, enabling the path planning results to accurately reflect changes in underground ventilation and environmental conditions, thus improving the accuracy of planning decisions.

The invention discloses an environment safety intelligent monitoring and early warning analysis method, which relates to the field of intelligent monitoring and early warning analysis, and comprises the following steps: constructing an environment monitoring data pool; the AI video analysis model analyzes the video data in real time to generate a video analysis event; when it is monitored that a sensor generates an alarm signal or a video analysis event meeting an early warning condition is recognized, an adjacent monitoring device is automatically dispatched to focus on an event occurrence area, video data are collected and rechecked, a side AI model extracts multi-dimensional historical and real-time monitoring data associated with the event from a data pool, and the multi-dimensional historical and real-time monitoring data are stored in a database; carrying out fusion analysis on the data and the rechecked video data, and outputting an event verification result with a confidence score; and according to the confidence score, querying the preset hierarchical early warning-disposal mapping table, and dynamically executing corresponding early warning information release and field equipment linkage control, thereby realizing a closed loop from passive warning to active intelligent research, judgment and disposal, and effectively improving the real-time performance, accuracy and automation level of environmental safety monitoring.

The invention provides a visit management method based on multi-modal data and a computer readable medium, and relates to the technical field of computers. The method comprises the following steps: collecting multi-modal data of a monitored object; integrating the multi-modal data through time to obtain at least one multi-modal instance; extracting various features of the monitored object from each multi-modal instance, wherein the various features comprise any one or more of the following features: a behavior rule feature, an emotion fluctuation feature, a social relationship feature and an environmental security feature; associating the various features with the identity information of the monitored object, performing risk assessment based on the associated information, and constructing a user portrait of the monitored object; and determining a visit scheme for the monitored object based on the user portrait. The method achieves the precise insight of the demands and risks of the monitored objects, facilitates the improvement of the distribution efficiency and accuracy of visit resources, reduces the management risks of a monitoring region, and achieves the early intervention.