Logistics container monitoring platform based on big data

A monitoring platform and big data technology, applied in the field of logistics, can solve problems such as the inability to monitor the rotten degree of goods in the container in real time, the inconvenience of taking out rotten fruits, and the inability to accurately adjust the temperature and humidity, so as to facilitate timely removal and improve accuracy. Effect

Inactive Publication Date: 2020-12-04
苏州苏朗智能科技有限公司
View PDF7 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of this application is to provide a logistics container monitoring platform based on big data, so as to improve the related technologies that cannot accurately adjust the temperature and humidity, and cannot monitor the rottenness of the goods in the container in real time, and it is not convenient to take out the rotten fruits in time. question

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
  • Logistics container monitoring platform based on big data
  • Logistics container monitoring platform based on big data
  • Logistics container monitoring platform based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] see figure 1 , the application provides a logistics container monitoring platform based on big data, including a data acquisition module, a central processing module and a feedback module.

[0038] see figure 2 , the data acquisition module includes a temperature acquisition module, a humidity acquisition module, an image acquisition module, a gas detection module, a power supply module and a signal transmission module;

[0039] The temperature acquisition module, humidity acquisition module, image acquisition module and gas detection module are all electrically connected to the power supply module;

[0040] The temperature acquisition module, the humidity acquisition module, the image acquisition module and the gas detection module are all connected to the signal transmission module;

[0041] The temperature collection module is used to collect real-time temperature data in the logistics container, thereby judging the relationship between the deterioration of the go...

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 logistics container monitoring platform based on big data, and the platform comprises a data collection module which comprises a temperature collection module, a humidity collection module, an image collection module, a gas detection module, a power supply module, and a signal sending module. The temperature collection module, the humidity collection module, the image collection module and the gas detection module are electrically connected with the power supply module; the temperature collection module, the humidity collection module, the imagecollection module and the gas detection module are in signal connection with the signal sending module; and the temperature collection module is used for acquiring real-time temperature data in a logistics container so as to judge the relationship between goods deterioration and temperature. According to the scheme, the relation between the temperature and humidity and the rotting degree of the fruits can be analyzed, so that the temperature and humidity are accurately adjusted, the rotting degree of the goods in the container can be monitored in real time, and the rotted fruits can be conveniently taken out in time.

Description

technical field [0001] This application relates to the field of logistics technology, in particular, to a big data-based logistics container monitoring platform. Background technique [0002] Today's society is a rapidly developing society, with advanced technology, information flow, people's communication is getting closer and closer, and life is becoming more and more convenient. Big data is the product of this high-tech era. Big data (big data), a term in the IT industry, refers to a collection of data that cannot be captured, managed and processed by conventional software tools within a certain period of time. It requires a new processing model to have stronger decision-making, insight, and Massive, high growth rate and diverse information assets of process optimization capabilities. [0003] Logistics containers can transport a variety of goods, among which fruit is a difficult problem in transportation. Fruits are easy to rot during storage and transportation. At pres...

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): G05D27/02G01N33/02
CPCG01N33/025G05D27/02
Inventor 李国志黄伟东
Owner 苏州苏朗智能科技有限公司
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