Abnormal Path Analysis in Logistics Networks

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Solution Overview

Problem

Existing technologies for abnormal path analysis in express company trunk networks are limited by incomplete criteria for time efficiency and inability to monitor and predict abnormalities in real-time, as they only assess paths after completion, failing to account for mis-sorting or mis-distribution issues that may not affect fulfillment time efficiency thresholds.

Innovation Solution

The method involves comparing actual fulfillment path data with standard planned path data to identify mis-distribution and collect detailed statistics, allowing for real-time monitoring and prediction of abnormalities by marking mis-distribution centers and optimizing paths, which can be performed as the logistics object moves, rather than only after completion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If time efficiency comparison is used to determine abnormal paths, then detection speed is improved, but detection accuracy deteriorates because many abnormal paths are missed when fulfillment time meets the threshold

Engineering Contradiction:
Improvedetection speedVSAvoidabnormal path detection accuracy
Core Design Contradiction:
SpeedVSMeasurement precision

Solution Approach 1:

The patent segments the path evaluation into multiple independent dimensions: time efficiency, mileage, and transit center appropriateness. Each dimension is evaluated separately and comprehensively, allowing the system to identify abnormal paths that may be missed when relying solely on time efficiency comparison. This multi-dimensional segmentation resolves the contradiction by maintaining detection speed while significantly improving detection accuracy.

Inventive Principle:
Principle #1Segmentation

2Device complexity

If path evaluation is performed only after fulfillment completion, then evaluation simplicity is improved, but real-time monitoring capability deteriorates

Engineering Contradiction:
Improveevaluation complexityVSAvoidreal-time monitoring capability
Core Design Contradiction:
Device complexityVSLoss of time

Solution Approach 1:

The patent implements preliminary action by establishing pre-set standard paths and evaluation criteria before logistics operations begin. During the fulfillment process, the system continuously monitors actual paths against these pre-established standards in real-time, rather than waiting for completion. This allows early detection of abnormal paths and timely intervention, resolving the contradiction between evaluation simplicity and real-time monitoring capability.

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If comprehensive path evaluation including mileage and transit center appropriateness is implemented, then detection accuracy is improved, but evaluation complexity increases

Engineering Contradiction:
Improveabnormal path detection accuracyVSAvoidevaluation system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies self-service by automatically collecting actual path data from logistics systems, comparing it with pre-set standard paths, and generating evaluation results without manual intervention. The system self-manages the complex multi-dimensional evaluation process, including time efficiency, mileage, and transit center appropriateness assessments, thereby improving detection accuracy while keeping the operational complexity manageable through automation.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12014311B2Abnormal path analysis method and apparatus, and electronic device
Publication Date: 2024.06.18 CAINIAO SMART LOGISTICS HLDG LTD
  • US12014311B2 patent drawing
  • US12014311B2 patent drawing
  • US12014311B2 patent drawing

AI summary

An abnormal path analysis method and apparatus, and an electronic device are provided. The method comprises: obtaining data of an actual fulfillment path of a logistics object, wherein the actual fulfillment path comprises one or more routes connecting a plurality of fulfillment centers on the actual fulfillment path; obtaining data of a standard planned path corresponding to the logistics object, wherein the standard planned path comprises one or more routes connecting a plurality of fulfillment centers on the standard planned path; comparing the data of the actual fulfillment path with the data of the standard planned path to generate route comparison results; and obtaining detailed mis-distribution data of the logistics object according to the route comparison results.