4results about How to "Raise security awareness" patented technology

The utility model belongs to the technical field of elevator safety protection, and particularly relates to a pit safety hook for preventing an elevator car from rushing down, which comprises a bottom plate, supporting plates, limiting cylinders, telescopic rods and the like, a plurality of supporting plates are distributed and mounted on the bottom plate in two rows and two columns, a plurality of adjacent limiting cylinders form one group, the number of the four groups is four, each group of limiting cylinders is fixedly connected to each supporting plate, and the telescopic rods are fixedly connected to the bottom plate. Each telescopic rod is arranged on the corresponding limiting cylinder in a sliding mode, one end of each telescopic rod extends out of the corresponding limiting cylinder, and the other end of each telescopic rod extends into the corresponding limiting cylinder. The four symmetrically-distributed buffer units are reasonably arranged on the pit safety hook, when an elevator car rushes downwards accidentally, the four buffer units can provide buffer force from the four corners of the bottom of the elevator car at the same time, according to the multi-point dispersion buffer mode, even if unbalance loading and inclination occur when the elevator car rushes downwards, impact energy can be evenly dispersed and absorbed, and the safety of the elevator car is improved. Local damage of the elevator car is avoided, and structural integrity and passenger safety are guaranteed.

The invention discloses a platform safety line grading early warning method and system based on deep learning, and belongs to the technical field of computer vision and public safety. The method comprises the following steps: initializing a system; acquiring video stream data of a platform monitoring area in real time and performing image preprocessing; identifying and positioning pedestrians in the video frame by using the target detection and segmentation model; based on the identified foot position information of the pedestrian, judging whether the pedestrian crosses a line or not; utilizing a multi-task attribute identification model to identify the attributes of the line-crossing pedestrians; calculating a minimum line-crossing distance of the line-crossing pedestrians and a target density factor of a line-crossing area, generating a comprehensive threat score, and generating a priority queue; and generating and executing a self-adaptive multi-mode safety reminder. According to the invention, the automatic, precise and graded management of the platform line crossing behavior is realized, the timeliness, accuracy and humanization level of early warning can be effectively improved, and the method is suitable for the safety protection of public traffic scenes such as high-speed railway stations and subway stations.

The utility model belongs to the technical field of safety education simulation equipment, especially high altitude falling object simulation device, including stand, the upper end of stand is fixedly installed with winch through a plurality of bolts, is coiled with wire rope on the winch, the upper end middle position of stand is equipped with the perforation, the bottom end all around of wire rope is fixedly connected with a plurality of steel wire rope, the bottom end of a plurality of steel wire rope is fixedly connected with the electromagnetic chuck in common, the bottom end of electromagnetic chuck is magnetically absorbed with simulation falling object, the bottom end inside of stand is fixedly installed with base through a plurality of bolts, the front end of base is equipped with the cavity of drawing, the inside sliding connection of cavity of drawing has the box of drawing, the inside bottom end middle position of box of drawing is fixedly installed with the head mould through screw, the upper end of stand is provided with the explosion -proof transparent glass cover, the utility model has good safety education effect, can effectively promote the safety consciousness of worker, uses better.

This invention relates to an AI vision-based method for monitoring static electricity release behavior. It solves the technical problem of lacking a method for monitoring whether static electricity is being released and whether the release behavior is standardized in industrial safety production. The method includes the following steps: 1) Initializing parameters and starting the algorithm service; 2) Acquiring scene images; 3) Sending the scene images to the algorithm detector for detection; 4) Deleting personnel data information not in the static electricity release area; 5) Obtaining tracking numbers; 6) Binding hand detection boxes to corresponding human body detection boxes; 7) Performing minimum pixel filtering; 8) Determining whether the remaining personnel are entering or leaving the workshop; 9) Obtaining the determination result of whether the remaining personnel are releasing static electricity; 10) Obtaining the determination result of whether the remaining personnel have completed releasing static electricity; 11) Obtaining the determination result of whether the remaining personnel have left the static electricity release area; 12) Determining whether an alarm is triggered; 13) Repeating steps 2) to 12) until the monitoring period ends.