9results about How to "Improve patrol efficiency" patented technology

The invention provides a forest fire prevention unmanned aerial vehicle patrol early warning system and method based on edge calculation, and relates to the technical field of unmanned aerial vehicle patrol early warning. The patrol early warning system comprises an unmanned aerial vehicle platform, a data acquisition module, a data processing and analysis module, a communication and early warning module and a ground control and scheduling platform. According to the invention, calculation and data storage are close to a data source through edge calculation, the data collected by the unmanned aerial vehicle is processed in real time at an edge calculation node without being transmitted to a remote cloud and returning a result, the data processing and response time is greatly shortened, fire hazards can be found in seconds or even shorter time, and early warning can be given out. And the system can analyze data in real time in the flight process of the unmanned aerial vehicle, provides real-time decision support for a ground control center, and can quickly formulate a fire-fighting scheme according to information such as fire behavior and wind direction when a fire occurs, so that the fire-fighting efficiency is improved.

The invention relates to the field of artificial intelligence, in particular to an intelligent security system integrating video monitoring and patrol path optimization, which comprises a video collection module, a patrol path optimization module, a data analysis and prediction module and a control and communication module. The dual-enhanced chimpanzee optimization algorithm is used for initial path planning and optimization, so that the local optimal solution problem is effectively avoided, and a more globally optimal path is found; in a double-enhanced chimpanzee optimization algorithm, global search enhancement is performed by introducing an enhancement factor R1, a search space is expanded, local search enhancement is performed by introducing an enhancement factor R2, more detailed exploration is performed in a local area of the search space, the quality of an existing solution is optimized, and the precision and efficiency of local search are improved.

This invention provides a method, apparatus, electronic device, and medium for monitoring terminal inspection, applied to an inspection system connected to multiple monitoring terminals to be inspected. The method includes: acquiring historical service traffic information and real-time network stability information of the inspection system; determining inspection configuration information for the multiple monitoring terminals based on the historical service traffic information and the real-time network stability information, the inspection configuration information including inspection concurrency and inspection time period; and performing inspection on the multiple monitoring terminals according to the inspection configuration information to generate monitoring data for the multiple monitoring terminals. This invention achieves automated generation of inspection configuration information during the inspection process, while improving the concurrency performance of the inspection system, increasing the number of concurrent inspections within a period, and improving inspection efficiency.

This application relates to a fast-switching parallel polling method, apparatus, computer device, and storage medium. The fast-switching parallel polling method includes: selecting multiple video channels to be polled from a polling set; adding these multiple video channels to an analysis queue; and then, when the analysis queue starts the next cycle of channel analysis, switching the analysis object of the analysis queue to the video channels to be polled in the analysis queue, and performing parallel analysis on these video channels. This application solves the problem of being unable to perform parallel analysis on a large number of polling points, thereby improving the polling efficiency of the equipment.

The invention provides a motion control method of an unmanned aerial vehicle and unmanned vehicle cooperative system. The motion control method comprises the following steps: step 1, obtaining a first point cloud map based on a laser radar carried by an unmanned vehicle; obtaining boundary data of each building higher than the unmanned vehicle path according to the first point cloud map, wherein the boundary data comprises a two-dimensional coordinate of each point in the boundary of the building; 2, constructing a database, wherein the database comprises a plurality of sets; each set is composed of two-dimensional coordinates of each point in the boundary of each building; 3, obtaining a second point cloud map based on a laser radar carried by the unmanned aerial vehicle, and fusing the second point cloud map with the first point cloud map to generate a three-dimensional map; 4, matching the two-dimensional coordinate of the boundary of each building with the point cloud information of the three-dimensional map to obtain the three-dimensional coordinate of the boundary of each building; the flight path of the unmanned aerial vehicle is planned according to the three-dimensional coordinates of the boundary of each building; and 5, dynamically scheduling the working sequence of the unmanned aerial vehicles and the unmanned aerial vehicles according to the flight paths of the unmanned aerial vehicles.

The utility model discloses an intelligent patrol robot, which belongs to the technical field of robots and comprises a six-wheel heavy-load chassis, a main body control structure is arranged on the six-wheel heavy-load chassis, a laser radar and a license plate recognition camera are arranged at one end of the top of the main body control structure, and a telescopic arm is arranged at the top of the main body control structure. And a plurality of high-definition cameras and thermal imaging cameras are arranged on the telescopic arm. The telescopic arm is arranged at the top of the main body control structure, the four-way high-definition camera is arranged on the telescopic arm, the four-way high-definition camera can realize 360-degree dead-angle-free monitoring on the surrounding environment at the same time and generate high-quality images or videos, and meanwhile, the license plate recognition camera is arranged on the main body control structure, so that the license plate recognition camera can be used for recognizing the license plate. The robot is driven by the six-wheel heavy-load chassis to continuously move, vehicles in an area are recognized, whether external vehicles exist or not is checked, and once abnormity occurs, the alarm immediately gives an alarm, so that the patrol efficiency is greatly improved, and potential safety hazards are avoided.

The present application discloses a campus intelligent monitoring method and system, the method comprising: receiving wristband warning information; determining the area ID to which it belongs according to the wristband coordinate points in a preset virtual campus map as the target area ID; determining all cameras corresponding to the target area ID, and intercepting according to the positioning timestamp to obtain a set of image frame sequences to be analyzed; based on a pre-trained campus behavior analysis model, analyzing the set of image frame sequences to be analyzed to obtain a behavior analysis result, and if the behavior analysis result is a conflicting label, performing a stop prompt processing based on the wristband coordinate points, and if the behavior analysis result is a non-conflicting label, performing no processing. The present application uses wristband coordinate points to determine the location of students, uses the campus behavior analysis model to perform analysis to obtain the behavior analysis result, and performs a stop prompt processing for the situation where a conflicting label appears, thereby improving the accuracy and efficiency of monitoring and analyzing campus violence incidents.

This utility model discloses an unmanned security patrol vehicle, relating to the field of security equipment technology. It includes a vehicle body and a chassis, the chassis being welded from aluminum alloy. The vehicle body includes a driver's cab at the front and a rear trunk. The trunk contains a mounting bracket for storing emergency equipment, and an electric door is located on the outside of the trunk. Wheels and a power system are mounted on the chassis. Doors are located on both sides of the driver's cab, with alarm buttons above the doors. An alarm horn and a protective shell are located on the top of the vehicle body. An intelligent monitoring and control system is housed inside the protective shell, and a camera component is mounted on a bracket. This vehicle integrates four major functions: unmanned driving, anti-riot and explosion protection, fire assistance, and emergency alarm, solving the problem of limited functionality in existing patrol vehicles. It supports switching between unmanned automatic patrol and manual operation, improving patrol efficiency. In case of fire, the trunk can be remotely and automatically opened.

The invention relates to the technical field of unmanned aerial vehicles, and discloses an unmanned aerial vehicle assisted public safety patrol system, which comprises an unmanned aerial vehicle module, an anomaly detection module, a mounting module, a communication module, a ground base station module, an area identification module and an information sharing module, the unmanned aerial vehicle module is used for receiving various instructions on the ground, carrying various detection and identification tools to carry out safety patrol on an area and transmitting information; the information sharing module can be used for issuing emergency notices to the public when natural disasters and terrorist attacks happen, and the information sharing module enables the criminal police, the traffic police and the patrol police to achieve rapid information circulation. Automatic patrol and information recording among a plurality of base stations are realized through a flight control unit of the unmanned aerial vehicle module by utilizing GPS and directional base station navigation, manual frequent intervention is not needed, a large area can be efficiently covered, and compared with a traditional manual patrol mode, more places can be patrolled within the same time, and the patrol efficiency is improved.