Method and device for synchronously analyzing and monitoring band steel by using image identification

Abstract

The invention belongs to the field of video monitoring and managing systems and relates to a method and a device for synchronously analyzing and monitoring band steel by using image identification. The system comprises a monitoring host machine, a camera, a video acquisition card and a process machine, wherein the monitoring program of the monitoring host machine comprises a video data acquisition subprogram, a display subprogram, an image processing subprogram, a data management subprogram, an alarm processing subprogram, a playback subprogram and a video parameter adjustment subprogram. In the invention, by monitoring video images in which band steel derivates and abnormal production data of a steel rolling production line, giving an alarm and recoding the video and the production data in real time, a time index is established for events accrued, so that query and review are convenient, the recorded video and data can be played on a playback interface at the same time, the data are synchronously displayed in a curve graph format, and the playing speed and the data types can be selected. The method and the device have the advantages of low cost, simple installation, convenience for use and the like and can be used for performing multi-path real-time monitoring on the band steel production line of a steel and iron plant.

Description

technical field [0001] The invention belongs to the field of video monitoring and management systems, and relates to a strip steel synchronous analysis and monitoring method and system using image recognition. Background technique [0002] In iron and steel rolling production, due to the width and thickness of the raw material of the steel plate, it is easy to cause the phenomenon of strip deviation. On average, the broken belt caused by each deviation often causes a major failure of 30 hours of shutdown, which brings great harm to the production organization. Difficulties and huge economic losses. Therefore, it is very necessary to collect data on strip deviation and deflection in time, and reduce the occurrence of broken strips in the furnace by analyzing and optimizing the annealing furnace model. [0003] Due to the high temperature of the annealing furnace, the contact sensor cannot be used to complete the detection of the strip steel. The traditional inspection of whe...

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Problems solved by technology

[0003] Due to the high temperature of the annealing furnace, the contact sensor cannot be used to complete the detection of the strip steel. The traditional inspection of whether the strip steel deviates from the centerline of the unit on the furnace roll is completed by the operator relying on visual observation. This inspection method has been continued to this day.

There are many problems in this inspection method: ①Because human eyes are prone to fatigue when observing the hot strip steel, long-term on-line inspection cannot be carried out, and only random interval inspection is possible; ②As the rolling speed of the strip steel in the furnace increases, it is difficult for operators to Observation details; ③Cannot perform accurate and timely strip deviation correction, and can only operate with experience and feeling; ④Cannot perform accurate fault statistics; ⑤Cannot generate accurate and complete strip steel quality documents in the furnace

[0004] It is precisely because the traditional strip steel monitoring equipment needs to manually judge the deviation and correct it by manual operation. The data and images of the working process cannot be correlated and analyzed, which is not conducive to real-time analysis of the strip rolling production status and timely optimization. Annealing furnace model

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