IoT Cloud Testing System for Plastic Packaging Data Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current plastic packaging materials testing instruments are limited by their inability to automatically process and analyze data, requiring significant investment for laboratory setup and manual data processing, and third-party testing is costly and inefficient.
Innovation Solution
A plastic packaging material testing system based on Internet of Things (IoT) and cloud technology, integrating remote testing laboratories and cloud computing centers for automated data collection, storage, analysis, and reporting, reducing the need for costly laboratory setups and enabling real-time data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If enterprises purchase testing instruments and build their own laboratories, then testing capability and quality control are improved, but investment cost and operational complexity increase significantly
Solution Approach 1:
The patent creates a virtual copy of laboratory capabilities through cloud computing platforms. Enterprises can access testing instrument functionalities and data processing capabilities remotely without physically owning or maintaining the equipment. The cloud platform replicates laboratory functions across multiple users, allowing small and medium enterprises to benefit from advanced testing capabilities that would otherwise require significant investment in physical infrastructure.
2Ease of operation
If traditional testing instruments are used, then single instrument testing is simple, but data storage capacity and automated analysis capability are insufficient
Solution Approach 1:
The patent merges multiple testing instruments into a unified cloud-based platform. Individual instruments retain their simple operation interfaces, but their data processing capabilities are combined with centralized cloud storage and automated analysis systems. This allows each instrument to remain easy to operate while the collective system achieves massive data storage capacity and sophisticated analysis capabilities that no single instrument could provide alone.
3Measurement precision
If third party testing services are used, then professional testing expertise is accessed, but service cost and time consumption increase
Solution Approach 1:
The patent introduces a cloud computing platform as an intermediary between enterprises and testing instruments. This platform provides professional testing capabilities and automated data analysis without requiring enterprises to engage traditional third-party testing agencies. The intermediary system enables direct access to professional testing functions while eliminating the communication overhead, order processing delays, and reporting bottlenecks associated with conventional third-party services.
4Measurement precision
If manual data processing is used in traditional laboratories, then data accuracy can be verified, but labor cost and processing time increase
Solution Approach 1:
The patent replaces manual mechanical data processing operations with automated computer-based systems. The cloud platform automatically collects data from testing instruments, processes results according to predefined methodologies, and generates reports without human intervention. This substitution maintains data accuracy through standardized automated procedures while dramatically increasing processing speed and reducing labor costs associated with manual data handling.
Data Source
AI summary
A plastic packaging material testing system and method based on an internet of things and cloud technology including a cloud computing center that achieves data communication, data storage and data processing between customers and testing laboratory, computing center includes a private and public cloud. With the function of the internet of things, the testing system modules achieve the automatic acquisition, storage, parsing and transmission of the testing information and testing data. It combines test methods, testing instruments, modern logistics technology and software system together, which solves the problems that current testing instruments cannot achieve the massive test data storage and internet technology applications and avoids the one-time investment on the instruments purchasing and laboratory construction.