Method and system for recognizing basement flooding hidden danger through image
An image recognition and basement technology, which is applied in the field of image recognition of hidden dangers of flooding in basements, can solve problems such as failure to warn of hidden dangers of flooding, achieve early warning of hidden dangers of flooding, and reduce the effect of untimely monitoring
Pending Publication Date: 2022-03-08
武汉富思特创新信息技术有限公司
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[0004] In view of this, the present invention proposes a method and system for image recognition of hidden dangers of flooding in the basement to solve the problem that it is impossible to give early warning of hidden dangers of flooding in the underground environment
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[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.
[0046] see figure 1 , the invention discloses a method for image recognition of hidden dangers of basement flooding, the method comprising:
[0047] S1. Obtain historical time series data of indoor environment data, weather attribute data and surrounding environment data of the basement;
[0048] In the actual environment, the flooding depth of the basement is related to many factors. The most direct factors are the weather, indoor and outdoor env...
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The invention discloses a method and system for recognizing a basement flooding hidden danger through an image. The method comprises the steps that historical time sequence data of indoor environment data, weather attribute data and basement surrounding environment data are obtained; the camera collects historical time sequence data of the indoor water gauge image, the water gauge image is input into a pre-trained water level recognition model, and a corresponding indoor water level time sequence value is recognized; establishing a trend prediction model by introducing a CNN-LSTM neural network of an attention mechanism; the time sequence variation of the indoor environment data, the weather attribute data and the surrounding environment data serves as input, the time sequence variation of the corresponding indoor water level serves as output, a trend prediction model is trained, and parameters of the trend prediction model are obtained; predicting an indoor water level change trend in a period of time in the future through a trend model; and performing flooding hidden danger early warning based on the water level change trend. The change trend of the water level in the basement can be dynamically predicted through the indoor and outdoor environment data and the weather attribute data, and early warning is achieved.
Description
technical field [0001] The invention belongs to the technical field of disaster early warning, and in particular relates to a method and system for image identifying hidden dangers of flooding in a basement. Background technique [0002] Among all kinds of natural disasters, flood disaster is the most common and the most harmful one. Floods occur frequently, spread widely, come fiercely, and are extremely destructive. Floods not only submerged houses and people, causing a large number of casualties, but also swept away everything in human settlements, including food, and flooded farmland, destroying crops, resulting in a significant reduction in food production, and damage to factories, communication and transportation facilities , seriously impairing social development and the safety of the people. [0003] For densely populated cities, various underground shopping malls, underground transportation, underground complexes, underground garages and other underground environm...
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IPC IPC(8): G06V20/20G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06N3/044
Inventor 谢玉超曾常慧倪光荣
Owner 武汉富思特创新信息技术有限公司