A system for calling attention according to the present disclosure includes: at least one sensor configured to detect environmental information; a storage device in which condition data representing a condition under which a specific incident occurs is stored; determination means for determining a possibility of an occurrence of the specific incident based on a result of the detection by the sensor and the condition data stored in the storage device; and calling attention means for calling attention to a fact that there is the possibility of the occurrence of the specific incident, in which when the determination means determines that there is the possibility of the occurrence of the specific incident, the calling attention means calls attention to the fact that there is the possibility of the occurrence of the specific incident.

A trans-boundary water resource usage detection method, system, and computer program product, including predicting an estimated water usage by an upstream administrative region using a machine learning model and a tracked water usage, detecting an excess water usage when the estimated water usage exceeds a contracted usage value by more than a threshold value by executing a smart contract on blockchain, and penalizing, via a token exchange in blockchain, the upstream administrative region for the excess water usage by executing the smart contract on blockchain.

Systems, methods, and non-transitory computer-readable storage media for predicting the water quality within a geographic area based on hydrology data, contaminant data, and/or weather data using Artificial Intelligence (AI). The system can receive hydrology data for a predefined geographic region and real-time sensor data associated with water quality within the predefined geographic region. The system can then initiate a serverless AI algorithm using the hydrology data and the real-time sensor data, then receive output of the algorithm including an initial water quality score. The system can then adjust the initial water quality score based on contaminants within the predefined geographic region and transmit the resulting water quality index score to a mobile computing device.

Systems, methods, and non-transitory computer-readable storage media for predicting the water quality within a geographic area based on hydrology data, contaminant data, and/or weather data using Artificial Intelligence (AI). The system can receive hydrology data for a predefined geographic region and real-time sensor data associated with water quality within the predefined geographic region. The system can then initiate a serverless AI algorithm using the hydrology data and the real-time sensor data, then receive output of the algorithm including an initial water quality score. The system can then adjust the initial water quality score based on contaminants within the predefined geographic region and transmit the resulting water quality index score to a mobile computing device.

The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for determining a gas meter measurement failure of a smart gas, the method including: by the smart gas data center, obtaining, based on the smart gas sensing network platform, gas flow information of pipelines of each level from at least one flow monitoring device, the at least one flow monitoring device being configured in the smart gas object platform; by the indoor smart gas device management sub-platform, determining a candidate area based on the gas flow information; determining a target gas meter based on gas meter reading information of the candidate area, and then determining a maintenance plan for the target gas meter; and sending the maintenance plan to the smart gas data center, and sending the maintenance plan to the smart gas user platform based on the smart gas service platform.

The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for determining a gas meter measurement failure of a smart gas, the method including: by the smart gas data center, obtaining, based on the smart gas sensing network platform, gas flow information of pipelines of each level from at least one flow monitoring device, the at least one flow monitoring device being configured in the smart gas object platform; by the indoor smart gas device management sub-platform, determining a candidate area based on the gas flow information; determining a target gas meter based on gas meter reading information of the candidate area, and then determining a maintenance plan for the target gas meter; and sending the maintenance plan to the smart gas data center, and sending the maintenance plan to the smart gas user platform based on the smart gas service platform.

A method and system of optimizing pressure regulation at an intelligent gas gate station based on an Internet of Things are provided. The method is performed by an intelligent gas management platform, and the intelligent gas management platform includes an intelligent customer service management sub-platform, an intelligent operation management sub-platform, and an intelligent gas data center, the method includes: obtaining, by the intelligent gas data center, gas terminal information from an intelligent gas object platform through the intelligent gas sensor network platform, wherein the gas terminal information includes gas terminal flow and a gas terminal distribution feature; predicting, by the intelligent operation management sub-platform, gas gate station flow based on the gas terminal information; and determining, by the intelligent operation management sub-platform, a pressure regulation scheme of the gas gate station based on the gas gate station flow.

A method and system of optimizing pressure regulation at an intelligent gas gate station based on an Internet of Things are provided. The method is performed by an intelligent gas management platform, and the intelligent gas management platform includes an intelligent customer service management sub-platform, an intelligent operation management sub-platform, and an intelligent gas data center, the method includes: obtaining, by the intelligent gas data center, gas terminal information from an intelligent gas object platform through the intelligent gas sensor network platform, wherein the gas terminal information includes gas terminal flow and a gas terminal distribution feature; predicting, by the intelligent operation management sub-platform, gas gate station flow based on the gas terminal information; and determining, by the intelligent operation management sub-platform, a pressure regulation scheme of the gas gate station based on the gas gate station flow.

One embodiment of the present invention sets forth a technique for operating an electronic device within a cellular environment. The technique includes determining a coverage enhancement (CE) parameter and one or more radio frequency (RF) link parameters associated with a link between the electronic device and a cellular base station at a first point in time. The technique also includes computing a first estimate for a signal condition associated with the link based on the CE parameter and the one or more RF link parameters. The technique further includes determining that the signal condition is not adequate based on the first estimate and delaying transmission of one or more messages from the electronic device over the link until a second point in time that is later than the first point in time.

Electrical equipment includes a housing and serves as power distribution equipment provided on a power supply channel. The electrical equipment further includes an execution unit and a processing unit. The execution unit controls and/or monitors an appliance to be electrically connected to the electrical equipment. The processing unit performs information processing related to the appliance. The execution unit and the processing unit are held by the housing. The execution unit controls and/or monitors the appliance based on a result of the information processing performed by the processing unit.