An unmanned vehicle belongs to an unmanned vehicle group that includes a plurality of unmanned vehicles to control the unmanned vehicle in accordance with the condition of the entire unmanned vehicle group The unmanned device includes a reception means configured to receive a restriction condition pertaining to an amount of activity of the unmanned vehicle group; and a control means configured to control the unmanned vehicle on the basis of the restriction condition received by the reception means and the activity condition of the unmanned vehicle.

The present disclosure provides an Internet of Things communication method and apparatus. The method includes: receiving a resource addition request transmitted by a client, where the resource addition request is used to indicate addition of an identification of a reference resource into a collection resource on the first server; performing communication with the reference resource according to an access location of the reference resource and the identification of the reference resource; adding the identification of the reference resource into the collection resource if the communication between the first server and the reference resource is successful. In this way, before adding the reference resource, the first server first performs communication with the reference resource, and adds the identification of the reference resource into the collection resource after determining that the communication between the first server and the reference resource is successful, thereby ensuring the validity of the reference resource.

An Internet of Things device is herein disclosed. The Internet of Things device comprises a communications module having circuitry to communicatively connect to a computer network, a memory operable to store data, a processor coupled to the memory and the communications module and operable to execute instructions stored in the memory, and an activity module, including at least one of a sensor and a control device. The activity module operates under control of the processor to perform a designated activity with at least one of the sensor and the control device. The activity module further communicates on the computer network via the communications module. The processor curtails a volume of communication of the communications module on the computer network if a measured value of a system parameter exceeds a threshold value.

An Internet of Things device is herein disclosed. The Internet of Things device comprises a communications module having circuitry to communicatively connect to a computer network, a memory operable to store data, a processor coupled to the memory and the communications module and operable to execute instructions stored in the memory, and an activity module, including at least one of a sensor and a control device. The activity module operates under control of the processor to perform a designated activity with at least one of the sensor and the control device. The activity module further communicates on the computer network via the communications module. The processor curtails a volume of communication of the communications module on the computer network if a measured value of a system parameter exceeds a threshold value.

The present disclosure provides methods, Internet of Things (IoT) systems, and mediums for correcting a smart gas flow. The method may be implemented by a smart gas device management platform of an IoT system for correcting a smart gas flow. The method may include: obtaining reading data of a gas meter; determining a first confidence level of the reading data based on the reading data; in response to a determination that the first confidence level is smaller than a confidence level threshold, obtaining a working condition parameter; and determining, based on the working condition parameter, a gas meter correction mode.

The present disclosure provides methods, Internet of Things (IoT) systems, and mediums for correcting a smart gas flow. The method may be implemented by a smart gas device management platform of an IoT system for correcting a smart gas flow. The method may include: obtaining reading data of a gas meter; determining a first confidence level of the reading data based on the reading data; in response to a determination that the first confidence level is smaller than a confidence level threshold, obtaining a working condition parameter; and determining, based on the working condition parameter, a gas meter correction mode.

The present disclosure provides a method for smart gas storage optimization and an Internet of Things system. The method is implemented based on an Internet of Things system for smart gas storage optimization. The Internet of Things system includes a smart gas management platform, a smart gas sensor network platform and a smart gas object platform that interact in sequence. The method is executed by the smart gas management platform. The method includes obtaining gas supply data and historical gas usage data of a target area through the smart gas sensor network platform; predicting future gas usage data of the target area based on the historical gas usage data; determining gas storage demand data of the target area based on the future gas usage data and the gas supply data; and determining a gas storage optimization method of the target area based on the gas storage demand data.

The present disclosure provides a method for smart gas storage optimization and an Internet of Things system. The method is implemented based on an Internet of Things system for smart gas storage optimization. The Internet of Things system includes a smart gas management platform, a smart gas sensor network platform and a smart gas object platform that interact in sequence. The method is executed by the smart gas management platform. The method includes obtaining gas supply data and historical gas usage data of a target area through the smart gas sensor network platform; predicting future gas usage data of the target area based on the historical gas usage data; determining gas storage demand data of the target area based on the future gas usage data and the gas supply data; and determining a gas storage optimization method of the target area based on the gas storage demand data.

The embodiments of the present disclosure provide a method for predicting gas transmission loss of smart gas, implemented by a smart gas equipment management platform of an Internet of Things (IoT) system for predicting gas transmission loss of smart gas, comprising: obtaining gas flow data, gas pressure data, and ambient temperature data of a plurality of time points respectively based on gas metering devices, pressure detection devices, and temperature monitoring devices at a plurality of positions of a gas pipeline network; predicting a gas metering error based on the ambient temperature data; determining whether gas loss is abnormal loss based on the gas flow data, the gas pressure data, and the gas metering error; and in response to a determination that the gas loss is the abnormal loss, sending a warning notice.

The embodiments of the present disclosure provide a method for predicting gas transmission loss of smart gas, implemented by a smart gas equipment management platform of an Internet of Things (IoT) system for predicting gas transmission loss of smart gas, comprising: obtaining gas flow data, gas pressure data, and ambient temperature data of a plurality of time points respectively based on gas metering devices, pressure detection devices, and temperature monitoring devices at a plurality of positions of a gas pipeline network; predicting a gas metering error based on the ambient temperature data; determining whether gas loss is abnormal loss based on the gas flow data, the gas pressure data, and the gas metering error; and in response to a determination that the gas loss is the abnormal loss, sending a warning notice.