61 results about "Safety condition" patented technology

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 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.

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 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.

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.

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.

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 application discloses a hidden danger tracing system and method for metal material current overload, utilizes the characteristics that micro-particles and gas are generated by overheating decomposition of marking materials coated on the surface of metal high-temperature components, matches the heating decomposition curve of the marking materials by identifying and analyzing the conditions of the micro-particles and the gas, obtains the curve estimation result of the current safety condition of the metal high-temperature equipment, simultaneously inputs the sampling gas data into the trained BP neural network model, estimates the current safety condition of the metal high-temperature equipment by using the intelligent analysis algorithm of the BP neural network as the BP network estimation result, combines the curve estimation with the BP neural network estimation to optimize the current safety condition of the metal high-temperature equipment, determines the early warning level of the fire hidden danger, realizes the graded early warning of the fire safety accidents, and is earlier than the early warning time of the traditional smoke sensing or temperature sensing fire early warning mode, and can obtain more rescue time for operation and maintenance rescue personnel.

The invention belongs to the technical field of automobile intelligent control, and provides an automobile electric side stepping active obstacle avoidance method and system and application, and the method comprises the steps: activating an active obstacle avoidance function when detecting that the state of an automobile meets a preset safety condition, and obtaining a multi-mode environment fusion parameter of the side of the automobile; when an obstacle is detected, the obstacle distance, the hardness coefficient and the relative speed are calculated based on the multi-modal environment fusion parameters through response of the two-channel processing architecture in milliseconds; applying the calculation result to an obstacle threat degree evaluation model, calculating a threat score of the obstacle, and selecting a corresponding strategy from a plurality of preset response strategies according to a threshold range to which the threat score belongs; and controlling the electric side pedal to execute the selected response strategy. The method is suitable for a high-chassis vehicle type, can improve the detection accuracy of low obstacles, and achieves the overall quick response of the system.

The invention relates to an electromagnetic needleless injector system and method based on a series excited machine, and the system comprises the series excited machine which is used for driving a plunger rod to move; the displacement monitoring module is used for monitoring the displacement of the plunger rod in real time; the safety condition detection module is used for generating a signal representing whether an injection safety condition is met or not; the control module is connected with the series motor, the displacement monitoring module and the safety condition detection module, and the control module is configured to receive injection parameters set by a user; in response to a signal which is received from the safety condition detection module and indicates that the safety condition is met, controlling the series motor to start according to the injection parameter; in the injection process, closed-loop control is conducted on operation of the series motor according to real-time displacement data fed back by the displacement monitoring module until injection actions corresponding to the injection parameters are completed, and therefore the efficient, accurate, safe and intelligent injection operation requirements of the modern livestock breeding industry are met.

An object of a system according to an embodiment is to monitor the safety of an infant in real time and prevent danger.SOLUTION: A system includes a camera, a AI processing unit, a warning unit, and a suggestion unit. The camera acquires video data. The processor is configured to analyze video AI acquired by the camera. The warning unit detects an approach to a dangerous area and issues a warning based on the AI analyzed by the data-processing unit. The proposing section predicts and proposes an idea of safe play or a potential danger based on the AI analyzed by the data-processing section.SELECTED DRAWING: Figure 1

The application relates to the technical field of construction safety management, and discloses a power engineering construction safety management system, which comprises a real-time risk assessment scheduling unit, a forward-looking human factor risk perception unit and a risk simulation mapping unit. The real-time risk assessment scheduling unit is used for generating a safety state characteristic map based on heterogeneous safety data of a construction site, identifying a risk event of the construction site through the safety state characteristic map, and generating an intervention instruction and a resource scheduling scheme to optimize the construction site. The application can comprehensively capture multi-dimensional information of the construction site by collecting personnel biological characteristics, equipment operation logs, environmental indexes and work video streams and other heterogeneous safety data through a multi-modal perception unit, breaks the limitation of single and one-sided data collection in the traditional management mode, and enables management personnel to obtain more rich and comprehensive on-site safety information, so that the overall safety condition of the construction site can be more clearly understood.

The application discloses a cleaning machine with full-automatic post-processing function and a control method thereof, and relates to the technical field of cleaning equipment control. The cleaning machine comprises a cleaning tank, an article basket, a cleaning execution module, a cover body, a control module, a post-processing function module and a sensor group. The control module is configured to automatically trigger the post-processing function module to perform post-processing operations after the completion of a cleaning process, and an interlocking mechanism is arranged between each post-processing operation. When a previous operation is not completed or a preset safety condition is not met, a subsequent operation is prohibited from being performed. The control method sequentially performs each post-processing step in a preset order. The application realizes full-process automatic connection of cleaning and post-processing, eliminates equipment failures and safety hazards caused by incorrect sequences, effectively prevents secondary pollution and hot steam scalding, and improves the safety of the equipment and the user experience.

Techniques are disclosed for an unsafe hot spot detection and reporting system to identify unsafe “hotspot” zones. The system functions to identify hotspot zones that are associated with an increased number of detected warnings regarding unsafe conditions, vehicle collisions, near misses, or other hazardous events. The hotspots are determined based upon historical data that may include safety-based warnings issued from vehicle with respect to in-vehicle monitoring data or other data sources. The system leverages the hotspot location information to identify a safety data model (SDM) rule and automatically adjust one or more safety data model (SDM) parameters of the SDM rule such as follow distance, speed settings, etc., and / or to route the vehicle to an alternate course to avoid an identified unsafe hotspot zone.

Systems and methods for a safety control framework for automated driving systems in which a second controller—with different / diverse hardware and / or software than the first controller—verifies whether a path plan generated by the first controller meets certain safety conditions and preempts the first controller from controlling automated driving of the host vehicle in response to determining that the path plan does not satisfy the safety conditions. In some implementations, the second controller is configured to preempt the first controller by operating the vehicle under automated control using a safety path plan generated by the second controller.

The present application relates to a kind of telescopic boarding bridge system strength test method.Specifically includes the following steps: S1: erecting strength test platform, telescopic boarding bridge is installed on strength test platform;S2: even pasting strain gauge on the load area of telescopic boarding bridge;S3: obtain the state data of telescopic boarding bridge in empty load state;S4: obtain the state data of telescopic boarding bridge in first stage loading;S5: preset safety condition, judge whether the state data of first stage loading meets safety condition, meet then carry out second stage loading processing, obtain the state data of second stage loading;S6: judge whether the state data of second stage loading meets safety condition, meet then determine qualified;The telescopic boarding bridge system strength test method, the strength detection of whole and each core component of telescopic boarding bridge system is realized, to smoothly meet design requirement.

The application provides a method and system for preventing submersion and a vehicle, comprising obtaining driving information, the driving information comprising vehicle driving condition information and / or driving environment information; determining a safety detection score representing a safety condition of the vehicle according to the driving information; if the safety detection score is greater than a safety setting score, controlling a submersion prevention assembly to be in a safety state; if the safety detection score is not greater than the safety setting score, controlling the submersion prevention assembly to be in a submersion prevention state, and the height of the submersion prevention assembly in the submersion prevention state is higher than the height of the submersion prevention assembly in the safety state. By comparing the safety detection score and the safety setting score to control the submersion prevention assembly, the vehicle can adjust the comfort and safety in time in different driving environments, and the comfort and riding experience of passengers can be improved in a safe driving environment.

The invention discloses a production and living ecological water safety risk intelligent evaluation method for a reservoir type water source, and belongs to the technical field of water source safety evaluation. The method comprises the following steps: establishing a five-dimensional safety index system of water quantity safety, water quality safety, behavior safety, facility safety and management safety to obtain original data of each dimension; according to the method, intelligent means such as an intelligent weight determination method, an artificial intelligence identification method and an abnormal alarm discrimination method are adopted to generate five-dimensional safety indexes respectively, a comprehensive index is calculated by combining a comprehensive evaluation weight and a one-ticket override rule, and a safety level is determined and dynamic early warning information and disposal suggestions are generated based on the comprehensive index. According to the invention, a multi-dimensional comprehensive evaluation system is established, intelligent dynamic evaluation is realized, the water supply safety condition of the reservoir type water source can be comprehensively evaluated, the safety risk can be found and early warned in time, and powerful support is provided for fine management and scientific decision making of the water source.