Visual evaluation method for valve operation standardization during tank truck loading and unloading

Abstract

The invention discloses a visual evaluation method for valve operation standardization during tank truck loading and unloading. The method comprises the following two steps: (1) a master-slave hiddenMarkov model establishment and offline training stage: establishing a master-slave hidden Markov model by taking a key step contained in a valve operation sequence during loading and unloading of a tank truck as a hidden state, and performing training; and (2) on-line identification of a compliance operation event sequence: taking the first valve operation step as a starting operation event, and sequentially detecting whether an action sequence conforming to a valve operation specification during loading and unloading of the tank truck exists in a subsequent frame or not. According to the visual evaluation method for the valve operation standardization during tank truck loading and unloading, provided by the invention, an operation monitoring video of a loader is detected and analyzed in real time by virtue of an intelligent visual technology; and a hidden Markov model is established to identify whether the valve operation sequence conforms to the specification or not when the tank truck loads and unloads materials, so that an event which does not conform to the operation specification is identified and early warned.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a visual evaluation method for the standardization of valve operation when tank trucks are loading and unloading materials. Background technique [0002] The loading and unloading of hazardous chemicals is an important link in the safety management and control of the whole life cycle of hazardous chemicals. The loading and unloading operation has high risks and hazards, and the personnel in the operation are highly mobile and have different educational levels. There are problems such as irregular vehicle loading and unloading process, insufficient personnel operating skills, and non-compliance with safety regulations. At present, chemical companies mainly monitor and alarm accidents through technical means such as video surveillance and sensor monitoring. However, the traditional video surveillance only centrally displays the surveillance images of various places, and assi...

AI Technical Summary

Problems solved by technology

However, the traditional video surveillance only centrally displays the surveillance images of various places, and assists the on-duty personnel to supervise in a unified manner. In terms of function, it only simply captures and saves the video images, and the analysis and judgment of on-site risks and hidden dangers are still done manually. The professional quality requirements of monitoring personnel are high, not only the workload is huge, the efficiency is low, and it is very prone to human errors

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