20results about How to "Reduce accident rate" patented technology

The utility model discloses a kind of semitrailer tarpaulin devices, comprising: semitrailer floor, the top of the semitrailer floor is fixedly connected with vertical plate, the top of the vertical plate is fixedly connected with top plate, the top of the semitrailer floor is fixedly connected with the side of head baffle;Top shielding component, the top of the head baffle is fixedly connected with the side of top shielding component, side shielding component, the side of the vertical plate is fixedly connected with the side of side shielding component, the tail shielding component is used to adopt tarpaulin shielding to the tail of semitrailer, the utility model relates to tarpaulin device technical field.The semitrailer tarpaulin device, by the setting of top shielding component, by driving motor directly driving threaded block drives the rotation axis of far end to move outward, first tarpaulin is spread over the top of entire semitrailer, and first tarpaulin is carried by multiple rotation axes, can evenly share tarpaulin quality, avoid causing equipment overload in moving process.

The application discloses a smart community police management system and method based on Internet of Things security, and belongs to the technical field of smart communities, and solves the problem that existing system data processing cannot utilize edge computing nodes for low-delay real-time analysis, and cannot meet timely early warning requirements, the method comprising preprocessing of multi-source heterogeneous community monitoring information, analysis and processing of the community monitoring information based on edge computing, and generation of a risk propagation path in combination with front-end analysis results and heterogeneity characteristics; in the application, analysis and processing of the community monitoring information based on edge computing avoids the delay of centralized processing, can quickly trigger early warning in the early stage of a risk event, thereby gaining golden disposal time for risk event disposal, and a risk analysis model realizes a leap from single-node anomaly detection to composite risk quantification through multi-dimensional feature fusion and dynamic space-time reasoning, and realizes multi-dimensional feature fusion and dynamic reasoning capability of the risk event.

This invention provides a three-trailer collaborative aircraft transfer method and system based on multi-sensor fusion. This invention relates to the field of aircraft ground support technology, specifically to a three-trailer collaborative aircraft transfer method based on multi-sensor fusion, applicable to short-haul aircraft ground transport to hangars. Through multi-sensor data fusion and multi-trailer collaborative control, it improves transfer accuracy, safety, and efficiency. The method specifically includes the following steps: system setup and sensor calibration; trailer attitude initialization and collaborative parameter configuration; real-time acquisition and preprocessing of multi-sensor data; multi-sensor data fusion and state estimation; dynamic path planning based on fused data; attitude error quantification and calibration based on complex statistics; multi-trailer collaborative driving control and traction distribution; real-time environmental monitoring and risk warning; precise docking at the hangar entrance and attitude fine-tuning; and parking and system review and optimization.

The utility model relates to an unstacker control system based on visual analysis, and belongs to the technical field of structural steel unstacking application equipment in the metallurgical industry. According to the technical scheme, the unstacker comprises a steel conveying roller way (1), an unstacker (2) and an unstacker electromagnet (3) and further comprises an inlet light source (6), an inlet camera (7), an outlet light source (8), an outlet camera (9), an inlet camera portal frame (10) and an outlet camera support (11), the inlet camera portal frame (10) is installed at an inlet of the steel conveying roller way (1), and the inlet light source (6) and the inlet camera (7) are fixed to the inlet camera portal frame (10) respectively. An outlet camera support (11) is installed at an inlet and an outlet of the conveying roller way (1), and an outlet light source (8) and an outlet camera (9) are respectively fixed on the outlet camera support (11). The electromagnet magnetism is adjusted through visual analysis, the phenomena of less attraction and more attraction of the electromagnet can be avoided, and automatic operation of the unstacker is achieved.

This application provides an intelligent battery swapping cabinet system with early warning of thermal runaway, relating to the field of new energy technology. It includes a data acquisition and labeling module and a location risk analysis module. If the overall hazard level exceeds a preset threshold, a risk judgment basis is constructed based on the degree of location and quantity impact. A weighted analysis method is used to prioritize the processing of each battery, resulting in an intervention target sequence. Based on the intervention target sequence, combined with the risk propagation range and fault propagation path, an emergency process adjustment plan is dynamically generated. The intervention strategy is iteratively updated through real-time monitoring data to determine the final intervention execution path. This intelligent battery swapping cabinet system with early warning of thermal runaway significantly improves the early warning capability and overall safety and reliability of the swapping cabinet under complex operating conditions, reduces the probability of accidents, and enhances the safety assurance level of new energy battery swapping infrastructure.

The embodiment of the application provides a kind of early warning method and system of energy storage system based on dynamic threshold, belong to safety monitoring technical field.The method includes: the multi-source operating data of energy storage system is collected, and monitoring data set is formed;Feature parameters are extracted based on the monitoring data set, and fusion feature vector is generated based on the extracted feature parameters;According to the fusion feature vector, dynamic threshold determination is executed, and the determined dynamic threshold is obtained;The safety state of the monitoring data set is evaluated based on the dynamic threshold, and the early warning result of energy storage system is output.The application scheme can realize more accurate identification and prompt in the early risk of energy storage system thermal runaway, thereby significantly improve the reliability and adaptability of early warning result, reduce the delay of operation and maintenance intervention and the probability of accident.

The utility model discloses a kind of operation systems for steel metallurgical industry mixing iron furnace area, comprising: a high corridor;A sampling platform is obtained by being outwardly extended and being arranged from high corridor, and is located the top of track;A lifting baffle, it is located at the front end of tank car direction of one side edge of sampling platform and is set;A sampling groove, it is strip long groove on sampling platform along the extension direction of track, the edge of sampling groove is provided with scale and track along its extension direction;A slider, it is the block structure with through hole in center, it is arranged across sampling groove, for sliding in two tracks correspondingly;Lifting baffle is used to give the guidance of tank car parking position for lowering;Slider is used to move to the best area of sampling according to scale;Sampling rod, vertically insert into the ladle of tank car through the center through hole of slider to sample down.It solves the problem of poor safety of existing mixing iron furnace area work, inconvenient sampling.

The utility model provides a kind of for sintering ring cooling machine discharge port anti -blocking device, belong to sintering ring cooling machine equipment technical field, including controller module, cable, material level meter, alarm, display and discharging timer;The radar material level meter is installed just above the material belt of ring cooling machine, the signal data measured by the material level meter is transmitted to the controller module by the cable, is transmitted to the display by the controller module internal program operation and is shown, if the radar material level meter does not detect the sintered ore material peak value in the time set by the discharging timer, output alarm to the alarm.The utility model is for the special area of ring cooling machine discharge port, when it is impossible to use separate material level meter equipment to measure, prevent the occurrence of ring cooling discharge port blocking accident, improve equipment operation rate, when accident occurs, early prediction is carried out, reduce accident rate and reduce accident handling time, improve sintered ore production has significance.

The application relates to an offline time detection method, system and medium based on vehicle expected speed, which comprises the following steps: U1. A vehicle travels on a road, real-time acquisition of driving acceleration of the vehicle and heading angle data information of the vehicle based on a vehicle-mounted IMU, and real-time acquisition of position data information of the vehicle based on a vehicle-mounted GPS; U2. Based on the position data information of the vehicle, the driving acceleration of the vehicle and the heading angle data information of the vehicle, a multivariate vehicle expected speed algorithm is used to calculate the expected value of the vehicle speed at different times and positions, so that the expected speed data information of the vehicle at different times and positions is obtained. The application can accurately detect the offline time of the vehicle, and the detection process is suitable for various and complex environments, has a wide application range, and is beneficial to popularization and use.

The invention discloses a solar intelligent demisting, deicing and warning all-in-one machine for a road surface. The all-in-one machine comprises a solar power supply and energy storage module; a multi-sensor fusion detection module (temperature and humidity, visibility, road surface temperature and icing); a PTC hot air demisting and ice melting execution module; an automatic warning yellow light module; a 4G / 5G remote data and video return module; the equipment collects environmental parameters in real time, when fog or road icing is judged, hot air and a warning lamp are automatically turned on, data and pictures are uploaded to a control center at the same time, and full-automatic, unattended and large-range networking road safety guarantee is achieved.

The utility model discloses a kind of three-dimensional circulation rotating unmanned aerial vehicle air-drop storage cabinet, including cabinet, conveying mechanism, circulating box and main control module, the upper portion of cabinet, side portion is separately provided with goods-throwing port, goods-taking port, conveying mechanism has conveying guide rail, conveying chain and conveying driver;Conveying guide rail is circularly arranged in the left and right side of cabinet, conveying chain is movably arranged along conveying guide rail direction, and the circular conveying direction of conveying chain is equipped with several circulating boxes;The output end of conveying driver is drivingly connected with conveying chain, main control module is electrically connected and controls the start of conveying driver, for driving conveying chain, circulating box circularly rotates along the circular direction of conveying guide rail with keeping horizontal posture, and in turn receives goods from goods-throwing port, goods-taking port and delivers goods. Further realize vertical circulation rotating goods receiving and delivering, keep horizontal posture, avoid the goods in box to tip, small, air-drop position is more, circulation efficiency is high, and reduce site cost and accident rate.

The present disclosure relates to a fixing clamp for a screen superheater, which comprises two detachably connected fixing members, and a plurality of grooves are arranged on the fixing members in a first direction, the grooves on the two fixing members are arranged one by one in correspondence, and when the two fixing members are buckled, a single pipe body of the screen superheater can be limited between the two corresponding grooves. The two detachably connected fixing members and the corresponding plurality of grooves realize the accurate limiting of each pipe body in the screen superheater. When the screen superheater is segmented and disassembled as a whole, it is ensured that after the steel plates and sliding blocks at both ends are removed, the multiple pipe bodies will not scatter and fall off, thereby improving the safety during the replacement process of the pipe body of the screen superheater and reducing the probability of accidents.

The application discloses a kind of holographic traffic perception method and system based on wide-area radar, belong to vehicle traffic control technical field, for solving the technical problems of existing traffic perception system, it is difficult to provide real-time, holographic traffic information service for mass vehicle, not conducive to optimizing traffic flow space-time distribution, and relieving congestion and reducing accident rate.Method includes: the coordinate data uniform processing of initial tracking data and initial driving data about latitude and longitude offset, respectively corresponding to obtain radar tracking data and target driving data;Radar tracking data and target driving data are calculated about the trajectory topology of target reference system, respectively to obtain first state estimation information and second state estimation information;And generate minimum topology distance optimization model;Based on minimum topology distance optimization model, relative position of multi-vehicle target is distinguished and identified, to obtain vehicle holographic information;Realize holographic traffic perception to global vehicle target.

The application discloses a transport hoisting intelligent scheduling optimization method based on multi-dimensional screening and trajectory analysis, which collects and analyzes multi-dimensional data of transport trajectories, task nodes, environmental parameters, operation timeliness and safety events and the like of historical hoisting operations, and constructs a hoisting operation path knowledge base containing space-time characteristics, risk weight and efficiency index; by using big data mining and machine learning algorithm, the optimal path mode and dynamic adjustment strategy under the typical operation scene are extracted; before actual operation, the optimal hoisting operation path is matched or generated from the knowledge base in combination with current task parameters and real-time environmental data, and dynamic optimization and real-time correction are supported. The application solves the problems that the traditional hoisting operation path relies on artificial experience, lacks data-driven decision and cannot adapt to complex dynamic environment, and significantly improves the scientificity, safety and efficiency of path planning, and reduces transport cost and accident risk.

The embodiment of the application provides a kind of underground hydrogen storage library injection-production system risk factor intelligent identification method, device, equipment and product.The method is by obtaining the operation parameter of underground hydrogen storage library, operation risk factor and structure causal model, structure causal model is used to indicate the correlation of multiple operation risk factors of underground hydrogen storage library.According to structure causal model, determine the accident hazard type matched with operation parameter and operation risk factor, and the benchmark risk value of accident hazard type.According to benchmark risk value, determine the influence proportion of each risk factor on accident hazard type, and influence proportion is used to represent the processing priority of risk factor.The method can comprehensively monitor, accurately analyze and scientifically control the risk factors of underground hydrogen storage library, can identify potential risk in advance, so that risk control is targeted.

This application discloses a strip trimming method to solve the technical problem of accidents easily occurring during strip trimming operations in cold rolling mills. The strip trimming method includes trimming the edge of the preceding strip using a shearing device. While the distance between the shearing device and the weld is less than or equal to a first target distance, the shearing device moves sequentially at multiple feed rates towards the centerline of the strip's width until the distance between the shearing device and the narrower edge of the preceding and following strips is 10%-15% of the weld width, with the feed rates increasing sequentially. The shearing device then trims the edge of the weld. Finally, the shearing device trims the edge of the following strip, while the distance between the shearing device and the weld is greater than or equal to a second target distance, and the shearing device moves simultaneously away from the centerline of the following strip's width. The trimming method of this application results in less breakage of the trimmed scrap edge and a lower accident rate during the trimming operation.

This invention relates to the field of building construction technology, specifically to an integrated construction process for prefabricated buildings using aluminum formwork and climbing scaffolding based on BIM technology. The process includes the following steps: S1: Utilizing BIM technology to refine the building information model (BIM). This refinement includes the aluminum formwork, climbing scaffolding, prefabricated components, main structure, and electromechanical piping. Collision detection and design optimization are performed using the BIM model. The connection between the climbing scaffolding and the main structure is then reinforced with bolts. Further refinement is given to the aluminum formwork system for the exterior window sill grooves and bathroom curbs. S2: Pre-construction preparations are carried out, including prefabricated component production, customized aluminum formwork processing, and equipment debugging. Prefabricated component production: Based on BIM model data, prefabricated beams, slabs, and columns are produced in a standardized factory to ensure accuracy. This invention utilizes BIM technology to solve the mismatch between traditional climbing scaffolding and industrialized construction, and addresses the issues of low component assembly accuracy and complex construction organization in prefabricated buildings.

This invention belongs to the field of travel method technology, and particularly relates to a travel method and system based on multi-scenario fusion perception. It collects ETC gantry data, LBS data, static road network features, dynamic traffic status, and spatiotemporal context data. A spatiotemporal consistency verification algorithm is used to achieve data spatiotemporal alignment. This algorithm includes timestamp correction based on vehicle clock offset and spatial coordinate matching based on 100-meter marker unit mapping. After fusing and aligning the multi-source data, the system identifies individual travel origin and destination points, service area information, and travel time, extracting full travel features. User behavior is labeled and weighted based on the 4W model, and users are categorized into commuter, commercial, and long-distance categories using a hierarchical clustering algorithm, mining features such as travel frequency, frequently used origin / destination (OD), and frequently used routes.