Coating production safety smart patrolling robot, system and method

Abstract

The invention discloses a coating production safety smart patrolling robot, system and method. Information of a patrolling environment can be acquired to build a three-dimensional map of the patrolling environment; a target object is displayed on the three-dimensional map; and an optimal patrolling path is planned. The patrolling robot can select different patrolling paths for patrolling accordingto different target objects without manual participation, so that labor force is reduced, and the cost is lowered. Meanwhile, the patrolling robot can acquire temperature information, toxic gas concentration information and dust concentration information in the patrolling environment in the patrolling process, and a prediction system performs predictive analysis to predict the change trends of parameters in the future, so that the safety of the patrolling environment is guaranteed.

Description

technical field [0001] The invention relates to the technical field of inspection, in particular to a coating production safety intelligent inspection robot, system and method. Background technique [0002] The paint production industry is a chemical industry. The paint production belongs to the production process of hazardous chemicals. The raw materials are mostly various dangerous chemicals with various types and different chemical properties. Most of them are flammable and toxic, and the dangerous nature is serious. Therefore, it is necessary Arrange special inspectors to carry out comprehensive and detailed inspections on various parts of the workshop. However, the current workshop safety inspections in the paint industry are obviously insufficient. Safety accidents in the production process occur frequently, and automatic inspections cannot be carried out during the coating production process. Need to consume more human resources. [0003] At the same time, it is also...

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Problems solved by technology

[0002] The paint production industry is a chemical industry. The paint production belongs to the production process of hazardous chemicals. The raw materials are mostly various dangerous chemicals with various types and different chemical properties. Most of them are flammable and toxic, and the dangerous nature is serious. Therefore, it is necessary Arrange special inspectors to carry out comprehensive and detailed inspections on various parts of the workshop. However, the current workshop safety inspections in the paint industry are obviously insufficient. Safety accidents in the production process occur frequently, and automatic inspections cannot be carried out during the coating production process. Need to consume more human resources

[0003] At the same time, it is also necessary to install sensors to detect the temperature, toxic gas concentration, and dust concentration in the workshop. The existing detection method is to install as many sensors as possible in the workshop. It is necessary to consider the location distribution of the sensors and the long-term exposure of the sensors. In the workshop environment, it is easy to be damaged, resulting in increased costs. At the same time, the existing detection methods cannot predict and analyze the collected temperature information, toxic gas concentration, and dust concentration.

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