JIANGSU UNIVERSITY (20240320474). PHOTOELECTRIC DETECTION MODEL TRANSFER AND SHARING METHOD AND INTERNET OF THINGS MONITORING AND EVALUATION SYSTEM BASED ON CLOUD SERVICE simplified abstract
Contents
- 1 PHOTOELECTRIC DETECTION MODEL TRANSFER AND SHARING METHOD AND INTERNET OF THINGS MONITORING AND EVALUATION SYSTEM BASED ON CLOUD SERVICE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PHOTOELECTRIC DETECTION MODEL TRANSFER AND SHARING METHOD AND INTERNET OF THINGS MONITORING AND EVALUATION SYSTEM BASED ON CLOUD SERVICE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about the Technology
- 1.13 Original Abstract Submitted
PHOTOELECTRIC DETECTION MODEL TRANSFER AND SHARING METHOD AND INTERNET OF THINGS MONITORING AND EVALUATION SYSTEM BASED ON CLOUD SERVICE
Organization Name
Inventor(s)
Jianrong Cai of Zhenjiang (CN)
PHOTOELECTRIC DETECTION MODEL TRANSFER AND SHARING METHOD AND INTERNET OF THINGS MONITORING AND EVALUATION SYSTEM BASED ON CLOUD SERVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240320474 titled 'PHOTOELECTRIC DETECTION MODEL TRANSFER AND SHARING METHOD AND INTERNET OF THINGS MONITORING AND EVALUATION SYSTEM BASED ON CLOUD SERVICE
Simplified Explanation
The patent application describes a method for transferring and sharing photoelectric detection models and an Internet of Things monitoring system based on cloud services. This method involves calibrating spectrum information of agricultural product samples and computing detection results using detection models.
Key Features and Innovation
- Transfer and sharing method for photoelectric detection models
- Calibration of spectrum information of agricultural product samples
- Real-time monitoring and evaluation of agricultural product quality using Internet of Things technology
- Remote monitoring capabilities
- Cloud-based services for data storage and analysis
Potential Applications
The technology can be applied in various industries such as agriculture, food processing, quality control, and environmental monitoring.
Problems Solved
The technology addresses the need for accurate and efficient monitoring and evaluation of agricultural product quality, especially in remote locations.
Benefits
- Improved accuracy in detecting agricultural product quality
- Real-time monitoring capabilities
- Remote access to monitoring data
- Enhanced efficiency in quality control processes
Commercial Applications
The technology can be used in agricultural facilities, food processing plants, quality control laboratories, and environmental monitoring stations. It can also be integrated into existing IoT systems for enhanced data analysis and decision-making.
Prior Art
Readers can explore prior art related to photoelectric detection models, spectrum calibration methods, and IoT monitoring systems to understand the evolution of this technology.
Frequently Updated Research
Researchers may find updated studies on photoelectric detection models, spectrum calibration techniques, and IoT monitoring systems to stay informed about the latest advancements in the field.
Questions about the Technology
How does the spectrum transfer and sharing method improve the accuracy of detection results?
The spectrum transfer and sharing method calibrates spectrum information of agricultural product samples, ensuring more precise detection results by accounting for variations in spectral data.
What are the potential implications of using cloud services in the Internet of Things monitoring system?
Cloud services enable data storage, analysis, and sharing, enhancing the scalability and efficiency of the IoT monitoring system.
Original Abstract Submitted
a photoelectric detection model transfer and sharing method and an internet of things monitoring and evaluation system based on a cloud service are provided. the transfer and sharing method includes: invoking a temperature compensation model and a spectrum transfer model to calibrate spectrum information of agricultural product samples, and invoking a detection model to compute the calibrated spectrum information to obtain detection results of the agricultural product samples. the internet of things monitoring and evaluation system calibrates spectrum information by using a spectrum transfer and sharing method, invokes a detection model for computing, and returns detection results to a detection terminal in real time, thereby realizing remote monitoring and evaluation of the quality of agricultural products.
