Cargo multi-dimensional data analysis method

A multi-dimensional data and analysis method technology, applied in the field of cargo multi-dimensional data analysis, to achieve the effects of reducing random noise, realizing correction compensation, and improving security inspection efficiency and accuracy

Pending Publication Date: 2022-03-04
CIVIL AVIATION LOGISTICS TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the air logistics platform has many isolated business systems such as cargo handling, cargo check-in, cargo sorting, cargo reconfirmation, and waybills; aviation logistics data also includes cargo images, videos, lasers, RFID, OCR identification, PLC, etc. Unstructured information, which leads to the contradiction between the island distribution and organic linkage of aviation logistics data

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Cargo multi-dimensional data analysis method
  • Cargo multi-dimensional data analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] A method for analyzing cargo multi-dimensional data, including an automatic cargo handling system and a cargo analysis system, further comprising the following steps:

[0054] S1-1: The automatic cargo handling system receives flight information;

[0055] S1-2: The passenger handles the consignment, or the freight forwarder handles the shipment. After the cargo automatic processing system receives the cargo information, it calculates and outputs the cargo route map according to the received flight information;

[0056] S1-3: The goods pass through the mechanical transmission device and are transported downstream according to the goods route diagram;

[0057] S1-4: The automatic code reading module distributes the barcodes for the goods, and after corresponding the specific barcode information with the specific goods one by one, feeds back the barcode-goods information to the goods analysis system;

[0058] Among them, barcode information includes code issuance time, fl...

Embodiment 2

[0068] This embodiment is a supplementary description of Embodiment 1. The specific implementation of the dynamic security inspection module in the step S1-4 is: a security inspection device and a security inspection system are also included.

[0069] Among them, the security inspection device includes: a basic support component, a data acquisition component, and an automatic map recognition component. Among them, the basic support component and the data acquisition component form a common security inspection device on the market, and a solution is provided as follows: the basic support component includes a frame with a cross-sectional shape of a "mouth", and the outer cover plate fixedly installed on the outside of the frame, plugged in The tape machine installed inside the frame, a plurality of lifting supports and rollers fixedly installed at the bottom of the frame, and lead curtain doors arranged at both ends of the frame; data acquisition components, including being arran...

Embodiment 3

[0077] This embodiment is a supplementary description of Embodiment 1. The detection of the cargo parameters in the steps S1-6 can realize the measurement of the temperature, humidity, and weight data information of the cargo; effectively reduce random noise, realize correction compensation, and improve the accuracy of the pressure sensor , which is beneficial to accurately detect the temperature, humidity and weight data information of the goods. The specific implementation steps are:

[0078] S3-1: After collecting the temperature, humidity, and weight parameter information of the goods through the parameter collection module using various sensing devices, standardize the data, where Xi and Pi are calibration values, Xi-min, Xi -max is the minimum and maximum value of temperature sensor output voltage calibration, Pi-mi n, Pi-max is the minimum and maximum value of pressure calibration;

[0079] S3-2: Process the standardized data according to the gray theory GM (1,1) model...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a cargo multi-dimensional data analysis method, and relates to the field of aviation logistics, through a cargo analysis system, an automatic code reading module is used for collecting bar code-cargo information, a dynamic security check module is used for collecting cargo-image information, a parameter acquisition module is used for collecting cargo-parameter information, and risk assessment cargo-assessment information is used for risk assessment. And multi-dimensional data analysis of the goods is realized. According to the invention, comprehensive improvement of aviation logistics in processing speed, business level and service quality is facilitated, sharing and intercommunication of mass data are realized, and a solid data and knowledge reserve foundation is laid for intelligent operation and maintenance of the aviation logistics industry.

Description

technical field [0001] The present invention relates to the field of aviation logistics, and more specifically relates to a method for analyzing cargo multi-dimensional data. Background technique [0002] With the rapid growth of global aviation logistics business, passengers urgently demand high-quality logistics services. At present, the air logistics platform has many isolated business systems such as cargo handling, cargo check-in, cargo sorting, cargo reconfirmation, and waybills; aviation logistics data also includes cargo images, videos, lasers, RFID, OCR identification, PLC, etc. Unstructured information, which leads to the contradiction between the island distribution and organic linkage of aviation logistics data. [0003] In order to realize the comprehensive improvement of aviation logistics in terms of processing speed, business level and service quality, realize the sharing and intercommunication of massive data, and lay a solid data and knowledge reserve foun...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/08G06Q10/06G06N3/08
CPCG06Q10/083G06Q10/0635G06N3/084
Inventor 王福文陈翼余海华喻忠全林虹秀刘振肖小彬宋洪庆杨秀清田麒乐
Owner CIVIL AVIATION LOGISTICS TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap