124 results about "Safety condition" patented technology

The invention relates to the technical field of mine environment control, and discloses an intelligent environment monitoring and control method in a mine laneway. The method comprises the steps that a real-time environment parameter set of a mine laneway is collected, the set contains gas concentration data, dust concentration data and temperature and humidity data, and real-time capture of laneway environment multi-dimensional parameters is achieved; then, based on the collected real-time environment parameter set, calculating an environment safety evaluation index so as to scientifically and objectively reflect the roadway environment safety condition; a dynamic control strategy is generated according to the environmental safety evaluation indexes, and the strategy comprises ventilation equipment regulation and control parameters and early warning level parameters and can be flexibly adjusted according to environmental changes; and finally, the ventilation equipment regulation and control parameters are sent to a mine ventilation system, and roadway environment regulation and control are executed. According to the method, environmental parameters can be comprehensively monitored, safety risks can be accurately evaluated, ventilation equipment can be flexibly regulated and controlled, the early warning function can be perfected, energy waste can be reduced, labor intensity can be reduced, and underground operation safety and mining efficiency can be guaranteed.

The invention discloses a hydraulic engineering data intelligent monitoring method and system based on digital twinning, and the method comprises the steps: comprehensively considering the actual physical structure, operation parameters and surrounding environment information of a hydraulic engineering when a hydraulic engineering digital twinning model is constructed, and breaking through the limitation that a conventional monitoring means only pays attention to a single parameter or a few parameters; model association data is utilized and visualized display is carried out, management personnel can visually check states and parameter changes of all parts, the monitoring efficiency and comprehensiveness are improved, and the limitation that a traditional monitoring means lacks effective analysis and mining is solved. A risk assessment formula is adopted to convert data into risk indexes, so that managers can visually know the safety condition, when a risk assessment value exceeds a threshold value, the risk development trend and consequences are simulated and analyzed in combination with a model, problems and risks are found in advance, early warning is triggered, and related personnel can formulate response measures such as flood discharge flow adjustment and structure reinforcement according to simulation results. Disaster loss is reduced, and the safety and reliability of hydraulic engineering are improved.

Methods and / or systems are described for identifying hazards. The method may include (1) receiving user visual data and hazard data, the hazard data including a hazardous condition associated with one or more of: (i) a hazard or (ii) an environmental condition associated with the hazard; (2) training a machine learning algorithm to classify at least part of the user visual data; (3) classifying at least part of the user visual data to generate a classification of a detected hazardous condition in the at least part of the user visual data; (4) generating a hazard notification corresponding to the classification of the detected hazardous condition in the at least part of the user visual data; and / or (5) causing a user device to provide the hazard notification based upon the classification of the detected hazardous condition in the at least part of the user visual data.

The invention relates to the technical field of energy storage power station safety monitoring, and discloses an energy storage power station safety assessment method and system, and the method comprises the steps: collecting historical operation data and regular sampling inspection sample data of an energy storage power station, and carrying out the data preprocessing and feature extraction; and respectively constructing a security evaluation model A based on a decision tree algorithm and a security prediction model B based on a long short-term memory (LSTM) network algorithm. A model A learns a safety mode and a fault mode in historical data, and a model B predicts a future safety state change trend. Sampling inspection data are input into the two models to obtain evaluation and prediction results, and a preliminary fusion evaluation result is obtained through comprehensive analysis of a fusion algorithm. And according to a set safety threshold, determining a power station safety level and a potential risk point. And finally generating a safety assessment report including the overall safety condition, the potential risk points and the suggested measures. According to the invention, the accuracy and timeliness of safety assessment of the energy storage power station are effectively improved.

The invention relates to the technical field of power distribution cabinet safety monitoring, in particular to a power distribution cabinet safety early warning method and device based on a progressive early warning mode, computer equipment and a storage medium. The operation cycle of the power distribution cabinet is divided into a starting stage, a normal operation stage and a shutdown stage, and sensors are deployed in each stage to collect specific parameters. Calculating initial risk indexes in the starting and stopping stages through a dynamic weighted summation algorithm, and calculating and fusing different load risk indexes in the normal operation stage by using nonlinear calculation and a risk matrix. And then calculating a progressive factor correction risk index, finally dividing into four risk levels of normal, attention, warning and emergency, and formulating an early warning strategy according to the levels. By collecting and analyzing various operation parameters of different operation stages of the power distribution cabinet, the risk index of each stage is accurately calculated, and the corresponding early warning strategy is formulated according to the risk level, so that comprehensive monitoring and effective early warning of the safety condition of the power distribution cabinet are realized, and the risk of power accidents is reduced.

An emergency door release device for a vehicle may include a first sensor to detect a collision and provide a collision indication. A door sensor may detect if a door remains closed after the collision and provide a door indication. A receiver may receive a secondary detonation trigger indication from another device. A processor may analyze the indications to determine if they meet time constraints. A detonator may cause detonation of an explosive to separate the door from the vehicle body if the constraints are met. The device may include additional sensors to detect unsafe conditions. A method and system for releasing a vehicle door using similar components and steps may also be provided.

The invention relates to the technical field of building safety detection, and discloses a building element comprehensive information application method and system.The building element comprehensive information application method comprises the steps that building information collection is conducted on a target building to construct a building information model, building element data collection is conducted according to preset building elements to form an element building model; real-time monitoring is carried out through a sensor group and AR equipment to obtain real-time monitoring data, the real-time monitoring data are substituted into an element building model to analyze element actual characteristics and safety characteristics of a building, and the safety condition of the building is evaluated by carrying out fire detection and positioning, fire fighting access occupation and blockage detection, emergency exit recognition, emergency evacuation sign recognition and the like on the building. By collecting the building information and the building element data and combining the real-time monitoring information, the real-time condition of each part of the building is accurately described so as to detect potential safety hazards, the building disaster response capability and the management efficiency are improved, and the problem that in the prior art, potential safety hazards are likely to be missed due to manual building safety inspection is solved.

The invention particularly relates to a slope safety monitoring and acquisition system based on big data of the Internet of Things, and the system comprises the following parts: a multi-modal sensing module which is used for arranging sensors on a slope to collect all parameter data of the slope; the edge calculation module is used for analyzing various parameter data of the side slope to obtain a side slope evaluation value, and carrying out risk grading on the safety of the side slope according to the side slope evaluation value; and a cloud service module. According to the invention, the edge calculation module carries out deep analysis on data collected by the multi-modal sensing module, obtains a slope evaluation value through a series of scientific calculation methods, and carries out risk grading; abnormal conditions of various parameters can be comprehensively considered, and the safety condition of the slope can be accurately evaluated; the early warning module adopts early warning measures with different intensities and modes according to different risk levels, daily monitoring reminding of first-level risks is changed into emergency linkage emergency response of third-level risks, and it is ensured that related personnel can be timely notified under different risk levels and effective response measures are adopted.

The invention discloses an energy storage system safety evaluation method and system. The method comprises the following steps: constructing an energy storage system safety risk evaluation index system according to a to-be-evaluated energy storage system, and calculating the weight of each index; obtaining a cloud feature value of each index according to the calculated weight value of each index, and calculating a comprehensive cloud feature value of each index according to the cloud feature value of each index; and generating a comprehensive evaluation cloud atlas and a secondary index evaluation cloud atlas based on the obtained comprehensive cloud feature values of the indexes, and calculating the membership degree of the comprehensive evaluation cloud to each safety evaluation grade based on the comprehensive evaluation cloud atlas, so that various factors influencing the safety of the energy storage system can be comprehensively considered, multi-dimensional evaluation is performed on the energy storage system, and the safety of the energy storage system is improved. The one-sidedness of single-factor evaluation is avoided, qualitative safety evaluation is converted into quantitative analysis, the evaluation result is more accurate and scientific, interference of human factors is reduced, the evaluation result is displayed in a visual graphic mode, related personnel can understand and analyze the safety condition of the energy storage system conveniently, and the safety of the energy storage system is improved. And even non-professionals can roughly know the security risk level of the system through the cloud atlas.

The invention discloses a safety production virtual training method and system for a mine underground scene, and the method comprises the steps: creating a model library, and storing a preset part model through the model library; based on the mine underground mine hole excavation design drawing, the spatial orientation of each component model is obtained, and a virtual practical training scene of the mine underground is generated; based on a received practical training instruction, a virtual practical training scene is obtained from the scene library according to the practical training instruction, and the virtual practical training scene is displayed on the interaction module; adjusting and transforming the virtual practical training scene based on an operation feedback signal of a practical training miner, labeling the component model with a high danger coefficient in the virtual practical training scene, judging the safety condition of each component model under the mine, calculating the average labeling number in the virtual practical training scene, and comprehensively judging the safety coefficient of the mine. The system has the advantages that the mine underground environment is simulated through the virtual reality technology, miners are helped to carry out safety operation training under the risk-free condition, and the safety consciousness and the emergency response capacity of the miners are improved.

The invention discloses a fire safety early warning method and system based on wireless networking, and relates to the technical field of fire safety early warning. According to the fire safety early warning method based on the wireless networking, electric power and environment monitoring data of a plurality of areas in the wireless networking of a shopping mall are acquired in real time, and an electric fire danger induction index and a fire danger environment disturbance index are analyzed; meanwhile, shopping mall monitoring image angle sequence data of each area is obtained, a visual potential safety hazard index is analyzed based on a pre-trained fire safety identification model, the safety condition of each area is comprehensively evaluated according to an electrical fire danger induction index and a fire danger environment disturbance index, and finally a comprehensive safety perception index of each area is generated. According to the invention, fire safety early warning is carried out on the corresponding area through the comprehensive safety perception index of each area, so that fire hazards in multi-area and complex layout environments such as shopping malls and the like are identified and positioned in real time, the accuracy of fire safety early warning is effectively improved, and the overall fire safety level is improved.

The invention relates to the field of slope safety assessment, in particular to a highway slope construction safety assessment method and system. The highway slope construction safety evaluation system comprises a slope region division module, a data acquisition module, a correlation analysis module, an anomaly judgment module, a safety evaluation module and an anomaly prediction module. According to the method, the normal limit value and the weight of the monitoring index are dynamically adjusted by combining real-time monitoring data, construction operation types and environmental factors, so that the assessment is more flexible and accurate; in the construction process, the safety condition of the side slope possibly fluctuates greatly under the influence of construction activities and environmental changes; by automatically adjusting the weight and the limit value of the monitoring index according to the actual construction state, false alarm and missing alarm caused by construction activities can be reduced, so that the accuracy and the timeliness of a safety assessment result are improved.

The invention discloses a system for monitoring the safety of a construction site through a dome camera, and the system comprises a dome camera module which is disposed in a key region of the construction site, and is used for collecting the video image data of the site; the visual identification module is used for identifying key objects, figures and abnormal events on the construction site; the AI large model analysis module is used for performing efficient data processing and analysis by utilizing a pre-trained large-scale AI language vision model, and identifying and predicting potential safety hazards; the natural language generation module is used for converting a visual recognition result into understandable voice information and feeding back the voice information to safety supervision personnel in real time, so that timely response is facilitated; and the intelligent alarm module is used for automatically triggering an alarm mechanism through real-time analysis of the safety condition of the construction site when dangerous behaviors or abnormal conditions are found. According to the system for monitoring the safety of the construction site through the dome camera, real-time safety monitoring, risk prediction, anomaly detection and intelligent alarm of the construction site are achieved.

The invention belongs to the technical field of safety protection, and provides an intelligent safety risk prediction, early warning, prevention and control system, which comprises a data acquisition module for monitoring the safety condition of a key area in real time through video monitoring and sensor data; the data processing module preprocesses the collected data and performs feature extraction; the risk prediction module constructs a safety risk prediction model, and identifies and predicts potential safety risk factors by analyzing historical data and real-time data; the early warning module automatically gives out early warning by setting an early warning rule when a prediction result exceeds a safety threshold value; the emergency response module generates corresponding early warning information and prevention and control strategies according to different types of risk early warning; the adjustment and optimization module continuously monitors the safety risk condition and adjusts the early warning level and the prevention and control strategy according to the real-time data; according to the invention, through efficient risk identification and prediction, potential safety hazards are found in advance, the possibility of accident occurrence is reduced, and the efficiency and accuracy of safety prevention and control are improved.

An apparatus, including a controller, camera, display, speaker, global positioning system, and sensor or detector which senses or detects a dangerous, hazardous, or unsafe, condition at or in a vicinity of the apparatus. The sensor or detector senses or detects the dangerous, hazardous, or unsafe, condition, and the apparatus provides, via the speaker, an audible alarm, siren blare, or verbal message, containing information regarding the dangerous, hazardous, or unsafe, condition. The apparatus or the controller generates an alert message containing information regarding the dangerous, hazardous, or unsafe, condition. The apparatus transmits the alert message to a central processing computer, to a communication device of a parent, relative, or friend, or other authorized individual, or to a police or law enforcement communication device.

The embodiment of the invention provides a safety assessment method and device, electronic equipment and a readable storage medium, and the method comprises the steps: employing a safety assessment model for any responsibility subject in a to-be-assessed region, and carrying out the safety assessment of the responsibility subject based on at least two evaluation indexes corresponding to the responsibility subject, and obtaining a safety risk score corresponding to the responsibility subject; based on the security risk scores and the real-time dynamic risk scores corresponding to the at least two responsibility subjects in the to-be-assessed region, determining a region score corresponding to the to-be-assessed region; and when the region score is less than or equal to a preset score threshold, performing security risk disposal on the to-be-assessed region. The regional score is determined based on the safety risk scores of the at least two responsibility subjects and the real-time dynamic risk score, the overall safety condition of the to-be-evaluated region can be reflected more scientifically and comprehensively, and when the regional score is smaller than or equal to the preset score threshold value, targeted treatment measures are taken in time, so that the efficiency and normalization of safety management are improved.

The invention relates to the technical field of hydraulic engineering monitoring and control, and discloses a dam operation safety online monitoring system construction method and system, and the method comprises the steps: collecting data, and carrying out the data collection and collection, and data processing and analysis; establishing a plurality of abnormity identification models, identifying abnormity of monitoring data and inspection results, and analyzing safety and stability of the dam structure; dam safety risks are identified, and dam safety conditions are comprehensively judged; the dam operation safety information is sent to set related users through a communication means; and associating the safety monitoring information, the inspection result and the safety analysis result of the dam with the three-dimensional model of the dam structure project, and dynamically displaying the operation state of the dam in real time. According to the method, in a unified logic framework, real-time explicit reflection and measurement of time sequence monitoring data on the dynamic model calibration effect are achieved, and then online calibration of a dam structure model and online review of structure safety are achieved.

The invention relates to the technical field of mine safety monitoring, and discloses a non-coal mine safety state assessment method based on multi-dimensional data fusion, which comprises the following steps: S1, constructing a multi-dimensional scoring model, constructing a multi-dimensional scoring model covering people, machines, rings and management, fusing multi-dimensional data and preprocessing and normalizing, and S2, dynamically adding and subtracting for updating. Based on a security event library rule, adding and subtracting the positive and negative security events, S3, performing multi-factor formula quantification, S4, performing graded and classified early warning, and S5, performing trend analysis and output. According to the invention, quantifiable and comparable evaluation of the safety state is realized. Through a unified score index, not only can the safety level of a single mine at a certain moment be objectively measured, but also the safety conditions of different mines in different time periods can be conveniently compared and analyzed, and weak links and advanced typical types can be found out. The multi-dimensional data fusion enables the scoring to be more comprehensive and accurate, reduces the false alarm and missing alarm caused by single monitoring, and improves the reliability of evaluation.

The application discloses a kind of safety warning method and device, comprising: image is collected and image is preprocessed;According to the image after pre-processing, work content identification, safety condition evaluation and rule violation determination are carried out, when it is determined that there is rule violation, warning information will be generated;Warning information is sent to the rule violation personnel, and its rule violation and correct operation method are informed.In addition, the application also discloses a kind of safety warning method and device, which is used to monitor and guide the construction process in real time and accurately, effectively improve the accuracy and timeliness of operation safety rule violation determination, reduce the risk of safety accident.

The invention discloses a community monitoring system. According to the invention, the behavior identification module can identify various abnormal behaviors in real time, such as fighting, suspicious wandering, crowd gathering and the like, and immediately triggers an alarm to notify a manager to deal with the abnormal behaviors, so that the occurrence of safety accidents is effectively prevented. And the behavior modeling module can identify potential criminal behaviors by establishing normal and abnormal behavior models, so that the crime rate is further reduced. And meanwhile, the behavior trajectory analysis module can track personnel trajectories in real time and quickly position personnel positions in an emergency, so that the emergency response capability is improved, and the safety of residents is ensured. And the behavior analysis module can effectively improve the management efficiency of the cell. Through automatic behavior analysis, the behavior analysis module can reduce the manual workload, and managers can concentrate on key tasks, thereby improving the management efficiency. A behavior analysis report is provided for managers, the managers are helped to know the safety condition of the cell, and a more effective safety management strategy is formulated.

This invention discloses a method, system, device, and medium for safety decision-making in autonomous driving using a dual-model hierarchical fusion approach. The method includes acquiring and processing sensor data to form multimodal sensor data; inputting the data in parallel to both an end-to-end learning model and a rule-driven model; dynamically comparing, evaluating, and fusing the outputs of the two models to generate a final execution trajectory; introducing a safety assessment mechanism independent of the two models to perform real-time safety judgment on the final execution trajectory; and triggering emergency braking or a minimum risk strategy and outputting a safe trajectory when both model outputs fail to meet preset safety conditions. Otherwise, it outputs the vehicle control command corresponding to the final execution trajectory. This invention, through parallel reasoning and fusion of the two models, organically combines the data-driven performance, interpretability, and safety boundary capabilities of the models, thereby significantly improving the overall safety, decision reliability, and operational efficiency of autonomous driving systems in complex driving scenarios.

The invention provides a method and device for assisting a vehicle in lane changing. The method comprises the steps that the lane changing safety condition corresponding to the current lane changing behavior of the vehicle is determined; the lane changing safety condition is dynamically displayed, and it can be guaranteed that a driver can dynamically receive change information of the danger level in the whole doubling process.

The invention relates to the technical field of vehicle steering control, in particular to a steering control method and device for a drive-by-wire chassis, a vehicle and a storage medium. The method comprises the steps that vehicle information, road condition information and user information of a driver and passengers are collected, and then a corresponding driving scene is matched; and judging whether the current steering of the vehicle meets the safety condition corresponding to the driving scene or not, so that when the safety condition is not met, safety warning is performed, and the safe steering angle of the vehicle is generated, and when the current steering is larger than the safe steering angle, the vehicle is limited to execute the current steering action while pacifying reminding is generated, so that the current steering is adjusted. Therefore, the problems that in the prior art, due to the fact that a related technology depends on direct control over a vehicle driving component, forcibly switches a driving mode or intervenes manual steering operation and only focuses on vehicle and road condition information, manual driving dominance and continuity are damaged, non-technical over-steering cannot be pre-judged, human risks are difficult to avoid, and personnel safety is difficult to guarantee are solved.

The invention relates to a coal mine underground safety comprehensive management method, system and device and a medium. The method comprises the following steps: establishing a coal mine underground risk factor set and a corresponding risk assessment index set; acquiring monitoring data of each element in the risk assessment index set to form a risk assessment index monitoring data set; based on a hierarchy analysis method and a fuzzy comprehensive evaluation method, first and second overall risk evaluation results are obtained according to the monitoring data set, and then the first and second overall risk evaluation results are synthesized to obtain a comprehensive risk evaluation result; and finally generating a response strategy according to the comprehensive risk evaluation result. Therefore, comprehensive and scientific assessment of the safety condition of the underground coal mine is realized, targeted prevention measure guidance is provided for managers, the safety management level of the underground coal mine is effectively improved, and the possibility of safety accidents is reduced.

A vehicle-mounted ceiling screen control method, device and equipment and a computer readable storage medium generate a user intention vector including a target user, a target position and an instruction priority by synchronously collecting multi-modal sensing data in a cabin and performing fusion processing, and then carry out safety verification and path planning based on the intention vector, so as to improve the safety of the vehicle-mounted ceiling screen. Obstacles on the moving path of the ceiling screen are detected in real time, a smooth moving path meeting safety conditions is planned, and then a motion control instruction is generated to drive the ceiling screen to horizontally move along a preset sliding rail.

The invention provides a scene creating method and equipment for a vehicle, the corresponding vehicle, computer equipment and a non-temporary computer readable storage medium. The method comprises a receiving step of receiving voice input from a user of the vehicle; an analysis and judgment step: analyzing the voice input and judging whether the voice input indicates a scene creation intention of expecting to create a scene or not; an acquisition step: acquiring scene description information related to the scene expected to be created under the condition that the judgment result is positive; and a generation step: generating a scene file for creating a scene based on the scene description information. By using the scheme of the invention, a vehicle user can realize scene creation only by providing voice input, and scene creation can be triggered and realized in a natural language under various conditions without limitation. Therefore, the method avoids the requirement of an existing scene creation scheme for parking or other safety conditions, and provides a user-friendly scene creation mode.

An intelligent management and control platform for limited space operation belongs to the field of limited space operation and comprises a limited space ledger management unit, an operation application approval management unit, a real-time intelligent monitoring management unit, an intelligent early warning and emergency rescue management unit, a data synchronization and report generation unit, an equipment and personnel management unit and a tool management unit. According to the invention, by integrating the intelligent gas detector, the intelligent bracelet and other Internet of Things equipment, the platform can monitor the gas concentration, temperature and humidity, personnel physiological status and other data in a limited space in real time, and once abnormality is detected, early warning is automatically triggered and related personnel are notified; the system covers whole-process management of job application, approval, monitoring, report completion and the like, all operations are ensured to be executed strictly according to safety standards, and human errors are reduced; and meanwhile, through locking management, the platform allows the operation to start only when various safety conditions are met, so that the safety and compliance of the operation are improved.

The invention provides a coal mine support member risk intelligent detection method based on multi-mode inversion reasoning. Comprising the following steps of state data collection and data set construction of a multi-modal supporting component, defect detection and deformation recognition model design of the supporting component, failure path chain construction based on model inversion and risk assessment and early warning output based on failure path chain driving. According to the method, surface defects, three-dimensional deformation and attitude information can be synchronously obtained and fused, the real state of the component can still be stably recognized in severe environments such as low illumination and dust, and the missing detection and misjudgment rate is remarkably reduced; a failure path chain can be generated based on causal inference, the propagation and influence sequence between defects is disclosed, and a direct basis is provided for fault root positioning and preventive maintenance; and in combination with the defect category, the deformation quantity and the link risk aggregation result, a risk level judgment close to an actual operation safety condition is given, and operation and maintenance personnel are guided to formulate targeted intervention measures.

This invention belongs to the technical field of training equipment, specifically disclosing a shift machine follower control method and system. The method includes the following steps: S1, process initialization; S2, real-time data acquisition; S3, preliminary data filtering; S4, in-depth processing of the filtered effective data to obtain data parameters; S5, based on the data parameters obtained in step S4, starting a safety condition judgment program to determine whether the data parameters meet the safety conditions; S6, if all data parameters meet the safety conditions, inputting the data parameters into a preset admittance control algorithm; S7, obtaining target parameters that meet the operating requirements; S8, if an emergency stop switch is triggered or the data parameters do not meet the safety conditions, outputting a control signal via PLC; S9, based on the control signal, disconnecting the power connection; activating the braking device; S10, based on the target parameters, precisely adjusting the operating speed of the planetary motor and the lifting motor; and then proceeding to the next round of closed-loop control.