Intelligent logistics order classification management system based on visual sensor and big data analysis

Abstract

The invention discloses a logistics order intelligent classification management system based on a visual sensor and big data analysis, and the system comprises the steps: obtaining logistics orders needing to be transported in each primary logistics transportation center, and detecting the package size in each logistics order needing to be transported in each primary logistics transportation center; recording the parcel delivery time of each logistics order in each primary logistics transportation center, counting each logistics order delivered from each primary logistics transportation center in each transportation time period, and screening and analyzing the total volume of parcels delivered from each primary logistics transportation center in each transportation time period and the predicted arrival time of the parcels; carrying out logistics vehicle scheduling management on the intermediate logistics transportation center, simultaneously obtaining the actual arrival time and the total volume of the parcels transported in each primary logistics transportation center in each transportation time period, calculating the information conformity influence coefficient of each primary logistics transportation center, and displaying the information conformity influence coefficient; therefore, the information conformity of each primary logistics transportation center is visually displayed.

Description

technical field [0001] The invention relates to the field of logistics order classification management, and relates to a logistics order intelligent classification management system based on visual sensors and big data analysis. Background technique [0002] With the development of China's economy, the logistics industry will reach a new level, and the scale of logistics will grow rapidly. With the increasing status of logistics in the national economy, the research on intelligent classification management of logistics orders is also more important. At present, most of the existing logistics order classification management systems use the primary logistics transportation centers to regularly transport packages to the intermediate logistics transportation centers, but the primary logistics transportation centers do not share the volume of transported packages and the estimated arrival time of the packages, resulting in intermediate logistics transportation. The center cannot...

AI Technical Summary

Problems solved by technology

At present, most of the existing logistics order classification management systems use the primary logistics transportation centers to regularly transport packages to the intermediate logistics transportation centers, but the primary logistics transportation centers do not share the volume of transported packages and the estimated arrival time of the packages, resulting in intermediate logistics transportation. The center cannot rationally dispatch manpower and vehicle resources, reducing the efficiency of parcel transportation and the utilization rate of human resources in the intermediate logistics center, thus failing to meet the needs of intelligent classification management of logistics orders, which seriously affects the level of classification management of logistics orders. In order to solve the above problems, now Design an intelligent classification management system for logistics orders based on visual sensors and big data analysis

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