The embodiment of the present disclosure provides a method for pipeline network inspection zone generation based on smart gas and an Internet of Things system thereof. The method is implemented based on the Internet of Things system. The Internet of Things system includes a smart gas pipeline network safety management platform, a smart gas sensor network platform, and a smart gas object platform which interact in turn. The method includes: obtaining area feature information of a target inspection area of a gas network based on the smart gas object platform through the smart gas sensor network platform; generating one or more key inspection points in the target inspection area based on the area feature information of the target inspection area; and generating one or more inspection zones in the target inspection area based on the one or more key inspection points.

The embodiment of the present disclosure provides a method for pipeline network inspection zone generation based on smart gas and an Internet of Things system thereof. The method is implemented based on the Internet of Things system. The Internet of Things system includes a smart gas pipeline network safety management platform, a smart gas sensor network platform, and a smart gas object platform which interact in turn. The method includes: obtaining area feature information of a target inspection area of a gas network based on the smart gas object platform through the smart gas sensor network platform; generating one or more key inspection points in the target inspection area based on the area feature information of the target inspection area; and generating one or more inspection zones in the target inspection area based on the one or more key inspection points.

An on-demand service providing system which provides a service required for measuring a measurement target in response to a request from a user, the on-demand service providing system includes a selector configured to select a service which uses a sensor required for measuring at least the measurement target, and a system environment setter configured to set up a system environment for collecting a measurement result of the sensor used by the service selected by the selector as data which is usable for the user who has instructed to select the service via a network based on selection information obtained by the selector.

A patient tracking and diagnosis system is disclosed for providing a physician, medical diagnosis information related to a patient suspected with transmissible diseases based on the geo-location of the patient. In specific, the system comprises a mobile application module accessed by a patient to record patient location information, health information and the like, a data collection and analysis storage unit to collect, store and analyze the recorded data of various patients, a physician application module to access the patient's information and retrieve medical diagnosis information based on the geo-locations of the patient, proximity from other patients with suspected/conformed diagnosis and thereof. The invention is advantageous in aiding physicians to get knowledge of suspected diagnosis for a patient and thereby performing only those treatment tests that are necessary and thus eliminate unnecessary tests.

A modular IoT sensor system for Internet of things includes a network module and an expanded sensor module. The expanded sensor module includes a male connector and a female connector respectively disposed in two connection surfaces of the expanded sensor module, configured to detachably connect to a female connector of the network module. Shape and size of the female connector of the network module and the male connector and the female connector of the expanded sensor module conform to a USB type-C specification and pin definitions thereof are complied with a first pin definition different from USB type-C specification.

A modular IoT sensor system for Internet of things includes a network module and an expanded sensor module. The expanded sensor module includes a male connector and a female connector respectively disposed in two connection surfaces of the expanded sensor module, configured to detachably connect to a female connector of the network module. Shape and size of the female connector of the network module and the male connector and the female connector of the expanded sensor module conform to a USB type-C specification and pin definitions thereof are complied with a first pin definition different from USB type-C specification.

An object of the present disclosure is to provide a data collection system and a data collection method which are capable of collecting sensing data and various pieces of metadata by a single communication protocol and capable of associating the sensing data with the metadata without errors. A data collection system 301 of the present disclosure is a data collection system that performs communication from a terminal 11 to a data collection unit 12 by a standardized communication protocol (LLDP or HTIP), in which the terminal 11 stores sensing data detected by a sensor device in an extended field different from a field in which metadata is stored, within a frame specified by the communication protocol, and the data collection unit 12 associates the sensing data with the metadata based on information for identifying the terminal described in the frame.

An object of the present disclosure is to provide a data collection system and a data collection method which are capable of collecting sensing data and various pieces of metadata by a single communication protocol and capable of associating the sensing data with the metadata without errors. A data collection system 301 of the present disclosure is a data collection system that performs communication from a terminal 11 to a data collection unit 12 by a standardized communication protocol (LLDP or HTIP), in which the terminal 11 stores sensing data detected by a sensor device in an extended field different from a field in which metadata is stored, within a frame specified by the communication protocol, and the data collection unit 12 associates the sensing data with the metadata based on information for identifying the terminal described in the frame.

A clothes positioning device includes a storage unit, a matching unit, a display unit and a positioning unit. The storage unit stores a clothes parameter and a placement position of clothes placed inside a body for placing the clothes, and figure data of a predetermined wearer; the matching unit is connected to the storage unit and determines, according to the figure data of a current wearer acquired from the storage unit and the clothes parameter stored in the storage unit, clothes matching the figure data of current wearer among the clothes in the body as recommended clothes; the positioning unit is connected to the storage unit and determines a position of the clothes selected by the wearer; the display unit is connected to the matching unit, and synthesizes dressing effect image according to clothes parameter of recommended clothes and the figure data of current wearer and displays dressing effect image.

A method, computer program product, and computing system for compartmentalizing a virtual assistant is executed on a computing device and includes obtaining encounter information via a compartmentalized virtual assistant during a patient encounter, wherein the compartmentalized virtual assistant includes a core functionality module. One or more additional functionalities are added to the compartmentalized virtual assistant on an as-needed basis.