A wireless communication device comprises: an antenna; a radio frequency transceiver, for generating signals for transmission through the antenna, the radio frequency transceiver being connectable to the antenna through a switch; a backscattering block, for generating reflected signals for transmission through the antenna in response to received RF signals, the backscattering block being connectable to the antenna through said switch; and a battery. The switch is controlled by an output voltage of the battery, such that the radio frequency transceiver is connected to the antenna through the switch when the output voltage of the battery exceeds a threshold voltage, and the backscattering block is connected to the antenna through the switch when the output voltage of the battery is below the threshold voltage.

A wireless communication device comprises: an antenna; a radio frequency transceiver, for generating signals for transmission through the antenna, the radio frequency transceiver being connectable to the antenna through a switch; a backscattering block, for generating reflected signals for transmission through the antenna in response to received RF signals, the backscattering block being connectable to the antenna through said switch; and a battery. The switch is controlled by an output voltage of the battery, such that the radio frequency transceiver is connected to the antenna through the switch when the output voltage of the battery exceeds a threshold voltage, and the backscattering block is connected to the antenna through the switch when the output voltage of the battery is below the threshold voltage.

The present disclosure relates to a method for verifying the production process of field devices, including a step of accessing a service platform on which data from field devices, including identification data, the respective type of field device, configuration data, containing application-specific data, environment information of the field devices or parameter data, data relating to the production date of a respective field device and repair or troubleshooting cases of the field devices are stored. The method also includes steps of detecting anomalies by statistically evaluating the repair or troubleshooting cases stored on service platform and creating a notification in the event of a detected anomaly, supplying the data of the field devices and the notifications to a machine learning or prognosis system, and evaluating the data of the field devices and the notifications by means of the machine learning or prognosis system for forecasting series errors of the field devices.

The present disclosure relates to a method for verifying the production process of field devices, including a step of accessing a service platform on which data from field devices, including identification data, the respective type of field device, configuration data, containing application-specific data, environment information of the field devices or parameter data, data relating to the production date of a respective field device and repair or troubleshooting cases of the field devices are stored. The method also includes steps of detecting anomalies by statistically evaluating the repair or troubleshooting cases stored on service platform and creating a notification in the event of a detected anomaly, supplying the data of the field devices and the notifications to a machine learning or prognosis system, and evaluating the data of the field devices and the notifications by means of the machine learning or prognosis system for forecasting series errors of the field devices.

A method and an apparatus for managing an IoT device, and a computer readable storage medium are disclosed. The method for managing an IoT device includes creating a group resource, the group resource including a first member and a first preset condition, determining, from a plurality of IoT devices, at least one IoT device whose relationship with the first member satisfies the first preset condition as a second member of the group resource, wherein the first preset condition comprises at least one of the following: a distance between the second member and the first member being less than a first distance threshold, and a difference between a communication signal intensity of the second member and a communication signal intensity of the first member being less than a first intensity difference threshold.

The present disclosure provides an Industrial Internet of Things and a control method of an Industrial Internet of Things for handling failure of an assembly line equipment. The Industrial Internet of Things include a user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence. The service platform, the management platform, and the sensor network platform all adopt an independent arrangement. The object platform is configured as a plurality of manufacturing equipment arranged in sequence according to a process sequence on the assembly line, and each of the manufacturing equipment separately corresponds to the service platform, the management platform, and the sensor network platform.

The present disclosure provides an Industrial Internet of Things and a control method of an Industrial Internet of Things for handling failure of an assembly line equipment. The Industrial Internet of Things include a user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence. The service platform, the management platform, and the sensor network platform all adopt an independent arrangement. The object platform is configured as a plurality of manufacturing equipment arranged in sequence according to a process sequence on the assembly line, and each of the manufacturing equipment separately corresponds to the service platform, the management platform, and the sensor network platform.

The embodiments of the present disclosure provide method and Internet of Things (IoT) systems for maintaining and managing a storage and distribution station of smart gas. The method may be executed by a smart gas device management platform of the IoT system for maintaining and managing the storage and distribution station of smart gas. The method may include: obtaining gas tank data and gas tank environmental data of a target gas tank of a gas storage and distribution station; obtaining image data of the target gas tank, and predicting gas tank aging data of the target gas tank based on the image data; predicting, based on the gas tank aging data, the gas tank data, and the gas tank environmental data, gas tank damage data of the target gas tank; and determining a maintenance plan of the target gas tank based on the gas tank damage data.

The present disclosure provides an Industrial Internet of Things system for intelligent repair of manufacturing equipment and a control method. The Industrial Internet of Things system includes a management platform, a sensor network platform, and an object platform interacting in sequence. The object platform is configured as a plurality of manufacturing equipment arranged in sequence according to a process sequence on the assembly line. The management platform is configured to issue self-repair instructions and failure handling instructions corresponding to the intelligent repair method to the corresponding manufacturing equipment through the sensor network platform, so as to realize the automatic repair of manufacturing equipment, reduce the cost of manual troubleshooting, and ensure the normal production and manufacturing of the assembly line.

The present disclosure provides an Industrial Internet of Things system for intelligent repair of manufacturing equipment and a control method. The Industrial Internet of Things system includes a management platform, a sensor network platform, and an object platform interacting in sequence. The object platform is configured as a plurality of manufacturing equipment arranged in sequence according to a process sequence on the assembly line. The management platform is configured to issue self-repair instructions and failure handling instructions corresponding to the intelligent repair method to the corresponding manufacturing equipment through the sensor network platform, so as to realize the automatic repair of manufacturing equipment, reduce the cost of manual troubleshooting, and ensure the normal production and manufacturing of the assembly line.