Real-time early warning method for muck truck

Abstract

The invention relates to a real-time early warning method for a muck truck. The method comprises the following steps: S1, acquiring a video picture in real time; S2, detecting and identifying the vehicle type and the license plate of the muck truck in the picture; S3, searching record information corresponding to the license plate number; S4, if the record information in the passing validity period is not found, determining that an illegal behavior is not recorded; S5, if the current muck truck appears beyond the time range of allowing passage, determining that the muck truck is a forbidden time illegal behavior; S6, if the monitoring point position of the current muck truck is not in the road section allowing passage, determining an illegal behavior of deviating from the route; S7, performing statistical analysis on the illegal information of the muck truck; and S8, enabling that the traffic police performs unified examination and management on the muck trucks generating the early warning. According to the invention, the existing checkpoint and road monitoring system is used to integrate the relevant information of the pass recorded by the muck truck in real time; and real-time early warning can be carried out against the muck truck which illegally passes, so that the control complexity and the management cost are reduced.

Description

technical field [0001] The invention relates to a real-time early warning method for muck trucks, belonging to the technical field of vehicle management. Background technique [0002] In recent years, with the development of urbanization, construction sites can be seen everywhere. Due to the inadequate control of muck trucks, random overloading and non-compliance with traffic restrictions have occurred from time to time. This undoubtedly brings challenges to the traffic control department. [0003] At present, there are several muck truck management systems. For example, based on the vehicle-mounted GPS positioning system and construction site entrance and exit monitoring, the trajectories of muck trucks are summarized together. Additional equipment needs to be installed, and functions such as early warning and deployment control cannot be realized. [0004] In addition, the current muck truck monitoring system with inspection function also requires additional specific equi...

AI Technical Summary

Problems solved by technology

[0003] At present, there are several management systems for muck trucks. For example, based on the vehicle-mounted GPS positioning system and the monitoring of construction site entrances and exits, the driving trajectories of muck trucks are aggregated. Additional equipment needs to be installed, and functions such as early warning and deployment control cannot be realized.

[0004] In addition, the current muck truck monitoring system with inspection function also requires additional specific equipment, and cannot uniformly supervise the muck trucks, and the operation is also troublesome; for example, Chinese patent document CN109523777A discloses a monitoring system based on big data The vehicle remote inspection method and system, the method comprising: the inspection terminal sends an inspection instruction to the big data monitoring center; the big data monitoring center determines the inspection area of ​​the inspection terminal according to the location and inspection scope of the inspection terminal in the inspection instruction, and sends the inspection information to the inspection area The muck truck management system in the inspection area sends a display command containing the pre-display information, so that the indicator device outside the muck truck in the inspection area displays the pre-display information; wherein, the muck truck management system is set on the muck truck , including an indicating device with pre-display information arranged outside the muck truck; however, in this patent, the muck truck management system needs to be installed on the muck truck, which increases equipment investment and management costs

Images