Skip to main content

Table 1 Classification of datasets for remote management system (RMS)

From: A remote management system for control and surveillance of echinococcosis: design and implementation based on internet of things

Classification of datasets

Attributes and contents

Administrators

Static data

Names of the village, codes, geographic locations (latitude and longitude), basic hardware attributes, physical properties, and manufacturers, batch number, basic parameters in each township of 368 counties and 73 cities (prefectures) in 9 echinococcosis epidemic provinces (regions), etc

National administrators

Optional data

Hardware ID, information of PZQ baits

Provincial/municipal/county administrators

Information of owner, village administrator, and dog;

Village administrators

Baseline information of echinococcosis epidemic in 2012–2016; etc

Provincial/municipal/county administrators

Real-time data

Temperature and power information of smart collars and feeders; dog's location; information of deworming, reminder, alarm, video recording, and uploading, etc

Updating by RMS automatically

Basic data such as dog faeces information children's information, Serum information, intermediate host information

Township/village’s administrators

Test results of dog faeces, children's serum; ultrasound screening results; test results of the intermediate host, etc

Provincial/municipal/county administrators

Matching the information of dogs, owners, smart collars or feeders, and township/village’ s administrators, etc

Township/village administrators

Other inputting information and command to be executed and matched, e.g. adjusting the time, period and dosage of delivering PZQ baits, etc

Provincial/municipal administrators

Inputting or activation of the information of administrator

Provincial/municipal/county/township administrators