Cargo status prediction method, device and multi-classification modeling method
A multi-classification and status technology, applied in the field of logistics, can solve the problems of poor timeliness and accuracy and high cost, and achieve the effect of improving accuracy and timeliness and reducing costs
Active Publication Date: 2022-02-08
北京福佑多多信息技术有限公司
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[0005] The main purpose of this application is to provide a cargo status prediction method, device and multi-classification modeling method to solve the problem of poor timeliness and accuracy and high cost of the existing manual identification-based way of cargo status identification question
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[0055] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.
[0056] It should be noted that the terms "first" and "second" in the specification and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific order or sequence. It should be understood that the data so used may be interchanged under appropriate circumstances for ...
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The present application discloses a cargo state prediction method, device, and multi-classification modeling method. The cargo state prediction method described in the present application includes obtaining the latest continuous N original data points generated by the on-board weighing equipment. The original Record the original measurement data in the data points; get 1 whole segment data and M segment data according to the continuous N original data points; input 1 whole segment data and M segment data into the multi-classification model to get the current prediction status , the multi-classification model is a model capable of predicting the current state of the goods according to the original measurement data of the on-board weighing equipment. The present application is used to solve the problems of poor timeliness and accuracy and high cost of the existing manual identification-based method for cargo status identification.
Description
technical field [0001] The present application relates to the technical field of logistics, and in particular, relates to a method and device for predicting cargo status and a multi-category modeling method. Background technique [0002] In the field of logistics, especially in the field of truck freight or trunk road freight, it is very important to judge the status of goods. Accurate and timely identification of goods status can help managers improve vehicle management efficiency and reduce transportation costs. [0003] The current cargo status identification is mainly through manual identification, that is, the driver or station administrator manually counts the actual status of the cargo and reports it, but this method has information lag; if the station administrator is required to manually report the status of the cargo in real time, it will be greatly Increase labor costs; if the driver is required to report the status of the cargo in real time, the effect is not sat...
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IPC IPC(8): G06Q10/04G06Q10/08G06Q10/06
CPCG06Q10/04G06Q10/083G06Q10/067
Inventor 陈凯陈冠岭
Owner 北京福佑多多信息技术有限公司