Working method and system of IoT data acquisition system

Abstract

The invention discloses a working method and system of an IoT data acquisition system, and the method comprises the following steps that an HTTP service group receives device output data, assembles the device output data into data information and transmits the data information to a distributed message service module, and the distributed message service module generates a message service; the HTTPservice group transmits a data file to a DFS system and an OSS system, and transmits the data information to the distributed message service module; the DFS system transmits the data file to a Data Processor module; the data information is also transmitted to the Data Processor module via the distributed message service module; the message service is used as the system bus, so as to generate a message corresponding to the subscription of the service group; the Data Processor module processes the corresponding message according to the service group, processes the data file in real time, and generates final service data, and then processes the final service data, and uploads all processed data to an outside LIMS system. The method can meet the requirements of the high-efficiency data collection, transmission and storage and facilitates the food safety monitoring.

Description

technical field [0001] The invention relates to the application field of the Internet of Things for food safety, in particular to a working method and system of an IoT data acquisition system. Background technique [0002] Food safety issues have always been a hot spot of social concern, and food quality issues affect the development of the food industry. Food quality inspection is an important part of food quality and safety monitoring, and it is particularly important to effectively ensure the effectiveness and accuracy of food quality monitoring. The traditional data acquisition method is to manually read the instrument data, record it and then input the data into the corresponding business system, and when the amount of data is large, the cost of data transmission and storage will also be greatly increased, and its work efficiency is extremely low and easy Make mistakes. In addition, with the maturity of big data technology, food safety big data also affects food quali...

AI Technical Summary

Problems solved by technology

The traditional data acquisition method is to manually read the instrument data, record it and then input the data into the corresponding business system, and when the amount of data is large, the cost of data transmission and storage will also be greatly increased, and its work efficiency is extremely low and easy Make a mistake

In addition, with the maturity of big data technology, food safety big data also affects food quality and safety. Traditional manual data reading methods will not be able to meet the massive food safety data collection, affect food safety data analysis, and ultimately affect food quality and safety. monitor

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