Method and device for sending early warning information
A technology of early warning information and sending method, applied in the field of information processing, can solve the problem of low timeliness of early warning information, and achieve the effect of improving timeliness
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example 1
[0045] In this example, a deep learning model is constructed in advance based on a large amount of experimental data. The input of the deep learning model is the secondary and derived levels, the initial state data and the initial hazard factor, and the output is the post-action state data.
example 2
[0047] In this example, calculate the initial hazard factor and initial state data according to the preset second algorithm, obtain the current state data of the first level of each hazard-affected body, and judge whether the secondary and derived levels are equal to the level of the current state data , if not equal, then determine the hazard factor of the next level corresponding to the initial hazard factor. Wherein, the preset second algorithm may be the calculation formula mentioned in this example.
[0048] Wherein, in this example, the next-level disaster-causing factors and corresponding probabilities corresponding to each initial disaster-causing factor can be determined, and the next-level disaster-causing factors are generated according to all the disaster-causing factors and corresponding probabilities.
[0049] Furthermore, according to the preset second algorithm, the next-level hazard factor and the current state data are calculated to obtain the next-level deri...
example 3
[0071] In this example, the preset third algorithm is directly constructed, and the formula of the preset third algorithm is shown in the following formula (11), wherein, in the formula (11), Indicates the number of hazards of the next level produced under the current secondary and derivative levels, Indicates the post-action state data of each hazard-bearing body at the next level generated under the current secondary and derived levels, Indicates the probability of hazard-causing factors acting on each hazard-affected body under the current secondary and derivative levels, L and K are ellipsis, A is the action matrix, S i Indicates the state data of the i-th hazard-affected body, a is the secondary and derived level, is the state data after the action of each hazard-bearing body, where, n1 for the first n1 a first-level secondary derivative event, is the total number of secondary derivative events of the first level, for the first n1 The probability of the n2th s...
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