Screening method, system and terminal equipment for fire-fighting vehicle dispatch plan
A screening method and scheme technology, applied in data processing applications, instruments, calculations, etc., can solve the problems of not considering the influence of feature attribute weights, the reliability of calculation results, and the rationality of recommended schemes, and achieve a high degree of matching Effect
Active Publication Date: 2022-07-19
迪爱斯信息技术股份有限公司
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However, the kNN equal weight method does not consider the influence of feature attributes on the weight. Generally speaking, different feature attributes have different weights for each case. The kNN equal weight method has the same weight for each feature attribute, which will affect the calculation results. Reliability, the rationality of the recommended scheme will also be affected to a certain extent
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[0035] In the following description, for the purpose of illustration rather than limitation, specific details such as a specific system structure and technology are set forth in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
[0036] It is to be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described feature, integer, step, operation, element and / or component, but does not exclude one or more other The presence or addition of features, integers, steps, operations, elements, components and / or collections.
[0037...
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The invention discloses a screening method, system and terminal equipment for fire-fighting vehicle dispatching schemes, including: collecting case samples about fire-fighting cases and their vehicle dispatching schemes; clustering the collected case samples according to preset feature attributes to obtain m types Case sample database; randomly select n case samples from each type of case sample database; for each randomly selected case sample, find the k recent case samples from the case sample database of the class to which it belongs, and from each case sample of other classes Find k nearest neighbor case samples from each case sample database respectively; according to n case samples randomly selected from each type of case sample database and their corresponding k nearest case samples and (m-1)k nearest neighbor case samples, Calculate the weight of each feature attribute separately; combine the obtained target case and the calculated weight of each feature attribute, and select the case sample that is most similar to the target case from the collected case samples. The screening result of the present invention is more accurate.
Description
technical field [0001] The invention relates to the field of fire safety, in particular to a screening method, system and terminal equipment for a fire vehicle dispatching scheme. Background technique [0002] The probability of urban fires continues to rise, and it is easy to cause a large number of casualties and property losses. After receiving a fire alarm, it generally relies on manual experience to decide the specific number and type of fire trucks to be dispatched. However, this decision relying on manual experience It has a certain randomness and blindness, and is more time-consuming. [0003] At present, for this problem, the traditional solution is to use the kNN (k-Nearest Neighbor) equal-weight method to search for similar cases, and to give a deployment strategy according to the similar cases. However, the kNN equal-weight method does not consider the influence of feature attributes on the weight. Generally speaking, different feature attributes have different ...
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IPC IPC(8): G06K9/62G06Q10/06G06V10/764G06V10/762
CPCG06Q10/06315G06F18/23G06F18/24147
Inventor 彭明喜张胜雷霆邱祥平杜渂周赵云宋平超王宇文王文英王玉叶陈弢张昆鹏
Owner 迪爱斯信息技术股份有限公司