87 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.

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 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 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 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 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.

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 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.

The present invention is applicable to the field of driving safety management and provides an intelligent driving safety auxiliary management method and system, the system including: a road condition data acquisition module, a traffic risk assessment module, a multi-perception risk identification module, a warning information transmission module, and a secondary state analysis module. This solution not only predicts the driving trajectory of the truck, but also can determine the blind spots of the truck's vision during the driving trajectory. Through this precise identification, the system can better monitor the safety conditions around the truck, especially the potential risks in the blind spots of vision, and match the positions and behavior patterns of other road participants. Through the overlap detection function, the system can effectively identify the presence of other road participants in the blind spots of the truck's vision and assess the potential collision risks. Through this method, the system can detect possible collision hazards in advance, generate early warning information in a timely manner, and avoid accidents.

The invention discloses a slope debris flow prevention and control structure, and belongs to the technical field of geological disaster prevention and control, the slope debris flow prevention and control structure comprises a slope body, monitoring mechanisms are symmetrically and fixedly connected to the top surface of the slope body, a first groove is formed in the slope body, a blocking mechanism is fixedly connected in the first groove, and a protection mechanism is fixedly connected to the side, away from the monitoring mechanisms, of the blocking mechanism; the protection mechanism comprises a first protection plate fixedly connected with the slope body, a plurality of supporting parts are fixedly connected to the side, close to the blocking mechanism, of the first protection plate at equal intervals, and the supporting parts are fixedly connected with the blocking mechanism. The monitoring mechanism arranged on the top face of the slope body is used for monitoring the safety condition of the slope body, the first groove is formed in the slope body and used for installing the blocking mechanism, stones and the like falling off from the slope body are blocked, meanwhile, rainwater can be collected into the blocking mechanism, the first protection plate is used for protecting the lower half portion of the slope body, and the safety of the slope body is improved. And meanwhile, the multiple supporting parts arranged on the first protection plate can support the blocking mechanism, and the blocking effect of the blocking mechanism is improved.

The application provides a kind of river embankment flood control project safety evaluation method, it is related to river embankment safety technical field, specific steps include: using the water level data of same flood period in recent 5 years to construct long short-term memory network model, the water level of future 72 time windows is predicted in rolling; water level characteristic parameter is extracted, and characteristic combination parameter is formed by combining inherent parameters of embankment body; coupling model is constructed, river embankment response under the action of flood is simulated, and stress distribution of water surface is obtained; high stress area is formed by merging the maximum principal stress area, and area ratio is calculated; the area ratio, proximity and compactness of high stress area are calculated, and the overall risk coefficient of river embankment is obtained comprehensively, compared with threshold value to evaluate safety condition.The application can more sensitively capture water level change trend through multi-dimensional data fusion and dynamic analysis mechanism, lay a solid data foundation for river embankment safety evaluation, accurately identify stress concentration area and potential risk point, and improve river embankment safety evaluation from fuzzy qualitative to fine quantitative stage.

Various aspects of methods, systems, and use cases for safety logging in a vehicle are described. In an example, an approach for data logging in a vehicle includes use of logging triggers, public and private data buckets, and defined data formats, for data provided during autonomous vehicle operation. Data logging operations may be triggered in response to safety conditions, such as detecting a dangerous situation from a failure of the vehicle to comply with safety criteria of a vehicle operational safety model. Data logging operations may include logging data in response to detection of the dangerous situation, including storage of a first portion of data in a public data store, and storage of a second portion of privacy-sensitive data in a private data store, where the data stored in the private data store is encrypted, and where access to the private data store is controlled.

The invention discloses a windshield wiper control method, electronic equipment, a vehicle and a storage medium. The method comprises the following steps: performing fault detection on a received second message to determine a second fault condition; the second message comprises a vehicle speed message and a vehicle mode message; performing fault detection on the received first message to determine a first fault condition; the first message is a message carrying a windshield wiper closing instruction; if it is determined that the first message has a fault according to the first fault condition and it is determined that the vehicle state meets the preset safety condition according to the second message and the second fault condition, the windshield wiper closing instruction is intercepted, and therefore the vehicle state is judged by combining the fault condition of the message, the scene which is not expected to be closed is effectively recognized, and the user experience is improved. A windshield wiper closing instruction is intercepted in time, and the vehicle driving risk is reduced.

1. The name of the design product: tunnel safety warning board. 2. The use of the design product: the design product is used for warning the safety condition and marking the construction level in the tunnel. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view 1.

The invention provides a river levee flood control project safety evaluation method, and relates to the technical field of river levee safety, and the method specifically comprises the steps: building a long and short-term memory network model through the hourly water level data of the same flood season in recent five years, and predicting the water levels of 72 time windows in the future in a rolling manner; water level characteristic parameters are extracted, and characteristic combination parameters are formed by combining embankment body inherent parameters; constructing a coupling model, simulating river levee response under the action of flood, and obtaining upstream face stress distribution; combining the maximum principal stress regions to form a high stress region, and calculating an area proportion; and calculating the area ratio, the proximity and the compactness of the high-stress region, comprehensively obtaining an overall risk coefficient of the river levee, and comparing the overall risk coefficient with a threshold value to evaluate the safety condition. Through a multi-dimensional data fusion and dynamic analysis mechanism, a water level change trend can be more sensitively captured, a data foundation is built for river levee safety evaluation, a stress concentration area and a potential risk point can be accurately identified, and the river levee safety evaluation is improved from a fuzzy qualitative stage to a fine quantitative stage.

The invention provides a safety control method and device for a vehicle, the method is applied to the technical field of vehicle safety, and the method comprises the steps that a target sensor data set of the vehicle is obtained based on the current air conditioner working state of the vehicle; a target threshold table corresponding to the target sensor data set is matched according to the current air conditioner working state, and whether the vehicle meets a preset airtight safety condition or not is judged according to the target threshold table and the target sensor data set; and if the vehicle does not meet the preset closed safety condition, generating at least one current safety management action based on the closed safety level corresponding to the target sensor data set, and controlling the vehicle to execute the at least one current safety management action until the vehicle meets the preset closed safety condition. According to the method, different safety detection management can be carried out according to different starting states of the vehicle air conditioner, so that the safety of a user in an in-vehicle closed environment is guaranteed, and the method is more reliable.

A bridge structure early warning method based on displacement, rotation angle, strain mutual verification, calculates bridge overall monitoring index score, sets bridge safety level and coping scheme; the data of the bridge in normal operation is taken as a benchmark, displacement, rotation angle and strain data obtained by real-time monitoring are mutually verified, bridge structure score is calculated, and graded early warning is carried out; the uniform deviation degree and the non-uniform deviation degree of each measuring point compared with the benchmark are calculated, and the deviation degree of each measuring point is comprehensively evaluated, so that the overall state of the bridge structure is evaluated; through the verification of the rotation angle and the displacement, the verification of the strain and the displacement, the more effective monitoring data (displacement data or rotation angle data) is used to calculate the bridge overall monitoring index score, so that the early warning is more accurate; the present application takes the conventional state of the bridge as a benchmark, combines the real-time monitoring data, comprehensively classifies and early warns the bridge, and reflects the safety condition of the bridge structure.

The invention provides a vehicle fire risk prediction method and a vehicle, and relates to the technical field of vehicle safety, and the method comprises the steps: collecting vehicle sensing information including battery parameters, vehicle internal and external environment parameters, and inter-vehicle cooperation parameters when vehicle fire risk prediction needs to be carried out; the comprehensive information of the state of the vehicle, the surrounding environment condition and the potential risk of the surrounding vehicle can be obtained, so that a comprehensive data basis is provided for fire risk judgment. The first thermal runaway state of the vehicle battery, the fire behavior state in the first range and the second thermal runaway state of other vehicles in the second range are determined according to the sensing information, and the safety condition of the vehicle, the close-range fire behavior and the fire risk possibly caused by surrounding vehicles can be mastered at the same time. Analysis is carried out based on the environment state, the fire risk level of the vehicle can be accurately determined, and therefore the accuracy and reliability of fire risk prediction are improved.

The application discloses a kind of bridge vehicle fire post-bridge cable damage intelligent evaluation method, belong to bridge fire damage evaluation field, including the following steps: first, obtain the working condition parameters including fire source intensity, fire source distance and bridge deck wind speed;Then verify the working condition parameters, load the bridge main cable internal temperature inversion model and the bridge main cable surface temperature prediction model according to the main cable protection type, corresponding output main cable internal time-temperature prediction value, main cable surface maximum temperature prediction value;Main cable internal time-temperature prediction value, main cable surface maximum temperature prediction value are compared with main cable material safety threshold, and damage classification is carried out.The application constructs end-to-end pipeline from disaster description to damage evaluation report, automatically completes complex analysis work, avoids the error introduced due to manual operation and interpretation, realizes the order of magnitude breakthrough of evaluation efficiency, is suitable for bridge post-fire evaluation scene, provides key time window for bridge safety condition rapid judgment and repair decision.

The invention discloses a tunnel construction management system based on construction safety supervision, and relates to the field of construction safety management, and the system comprises an unmanned plane module which is used for flying in a tunnel and collecting the internal structure parameters of the tunnel; the modeling module is used for receiving tunnel internal structure parameters collected by single operation of the unmanned aerial vehicle module and constructing a tunnel three-dimensional model based on the tunnel internal structure parameters; according to the method, the tunnel three-dimensional model is constructed, the surface similarity of the two latest models is compared to judge the safety condition, the similarity result and the corresponding model are fed back synchronously, and the feedback record is stored in real time, so that accurate acquisition, dynamic monitoring and reliable evaluation of tunnel structure data are realized in the process, the safety risk judgment is more timely and accurate, and the safety risk judgment efficiency is improved. And effective support is provided for construction safety supervision.

A method for managing a modulation system ( 100 ) for modulating a flow of cooling air during the execution of an acceleration maneuver of a vehicle (V). The modulation system ( 100 ) for modulating a flow of cooling air has a maneuver operation mode configured for reducing or blocking the flow of cooling air directed towards a cooling system ( 104 ) comprised in the vehicle (V) during the execution of the acceleration maneuver. The method comprises, following the receipt of a setting command of the maneuver, evaluating for the components of the vehicle whether a corresponding safety condition of the start of the maneuver is satisfied. Said safety conditions of the start of the maneuver depend on a parameter indicative of the operating status of the component, detected at receipt of the setting command. The maneuver operation mode of the modulation system ( 100 ) for modulating the flow of cooling air is enabled if for each component the respective safety condition of the start of the maneuver is satisfied. The maneuver operation mode of the modulation system ( 100 ) for modulating the flow of cooling air is disabled if for at least one component the respective safety condition of the start of the maneuver is not satisfied.

The invention relates to an elevator equipment safety risk early warning method and system. The method comprises the following steps: constructing an elevator equipment safety risk early warning model based on a convolutional neural network and a recurrent neural network; acquiring real-time operation condition data of the elevator equipment, inputting the real-time operation condition data into the target elevator equipment safety risk early warning model for identification, and determining a real-time operation risk level of the elevator equipment; and triggering a corresponding early warning mechanism based on the real-time operation risk level. According to the method and the system, the safety condition of the elevator can be monitored in real time, early warning information is immediately sent to related personnel once safety risks are detected, and emergency measures are automatically taken. The emergency response time is greatly shortened, the maintenance personnel can timely arrive at the site for processing, the accident occurrence probability and loss are effectively reduced, and the life safety of passengers is guaranteed.

The present invention relates to the technical field of building safety detection, and discloses a method and system for applying comprehensive information of building elements. The present invention collects building information of a target building to construct a building information model, collects building element data according to predetermined building elements to form an element building model, performs real-time monitoring through a sensor group and AR equipment to obtain real-time monitoring data, and substitutes the data into the element building model to analyze the actual characteristics and safety characteristics of the building elements. The safety status of the building is evaluated by performing fire detection and positioning, detection of occupation and blockage of fire passages, identification of safety exits, and identification of emergency evacuation signs. By collecting building information and building element data and combining them with real-time monitoring information, the real-time status of various parts of the building is accurately described to detect safety hazards, improve the building disaster response capability and management efficiency, and solve the problem that safety hazards are easily missed through manual inspections of building safety in the existing technology.