基于铭牌文字识别的防爆设备选型故障确定方法

Fault Determination Method of Explosion-Proof Equipment Selection Based on Nameplate Text Recognition

摘要: 正确识别防爆设备铭牌所包含的防爆区域信息以辨识出设备选型故障至关重要。传统的防爆设备选型故障确定方法主要是人工巡检。为解决人工巡检识别效率低且准确性不足问题，本文提出基于铭牌文字识别的防爆设备选型故障确定方法。本文通过基于深度学习的图像识别技术，识别防爆设备铭牌对应的防爆区域信息，将铭牌所包含的防爆区域信息与设备实际位置进行比较，判断防爆设备实际安装位置区域是否在正确区域。本文通过实验验证了该方法的有效性和准确性，研究结果表明，基于铭牌文字识别的防爆设备选型故障确定方法能够有效实现防爆设备选型故障确定，对保障石化装置防爆设备安全生产具有重要意义。

Abstract: It is crucial to correctly identify the explosion-proof area information contained on the nameplate of explosion-proof equipment to identify equipment selection faults. The traditional method for determining faults in explosion-proof equipment selection is mainly manual inspection. To solve the problem of low efficiency and insufficient accuracy of manual inspection identification, this paper proposes a fault determination method for explosion-proof equipment selection based on name-plate text recognition. This article uses image recognition technology based on deep learning to identify the explosion-proof area information corresponding to the nameplate of explosion- proof equipment, compares the explosion-proof area information contained in the nameplate with the actual location of the equipment, and determines whether the actual installation location of the ex-plosion-proof equipment is in the correct area. This paper verified the effectiveness and accuracy of the method through experiments. The research results show that the explosion-proof equipment selection fault determination method based on nameplate text recognition can effectively deter-mine the explosion-proof equipment selection fault, which is important for ensuring the safe pro-duction of explosion-proof equipment in petrochemical plants.