Patent classifications
G16Y40/40
CONNECTION MAINTENANCE METHOD FOR INTERNET OF THINGS DEVICE
A connection maintenance method for an Internet of Things (IoT) device is disclosed in the present invention. The connection maintenance method includes establishing a virtual connection between the IoT device and a server, receiving a connection maintenance request from the IoT device, obtaining an identification code of the IoT device according to the connection maintenance request, transmitting a paging signal to the IoT device by using a first cycle according to the connection maintenance request to confirm whether the IoT device is alive, and when it is confirmed that the IoT device is alive, generating and transmitting a heartbeat packet carrying the identification code to the server by using a second cycle.
CONNECTION MAINTENANCE METHOD FOR INTERNET OF THINGS DEVICE
A connection maintenance method for an Internet of Things (IoT) device is disclosed in the present invention. The connection maintenance method includes establishing a virtual connection between the IoT device and a server, receiving a connection maintenance request from the IoT device, obtaining an identification code of the IoT device according to the connection maintenance request, transmitting a paging signal to the IoT device by using a first cycle according to the connection maintenance request to confirm whether the IoT device is alive, and when it is confirmed that the IoT device is alive, generating and transmitting a heartbeat packet carrying the identification code to the server by using a second cycle.
METHODS AND INTERNET OF THINGS (IOT) SYSTEMS FOR PREDICTING MAINTENANCE MATERIALS OF SMART GAS PIPELINE NETWORKS
The embodiments of the present disclosure provide method and Internet of Things (IoT) systems for predicting maintenance materials of a smart gas pipeline network. The method may be implemented based on a smart gas safety management platform of an Internet of Things (IoT) system for predicting maintenance materials of a smart gas pipeline network. The method may comprise: obtaining a pipeline network feature of a gas pipeline network; predicting fault probabilities of one or more point positions of the gas pipeline network based on the pipeline network feature, the fault probabilities including probabilities of one or more preset fault types of faults occurring at the point positions; and determining demand for the maintenance materials based on the fault probabilities of the one or more point positions.
METHODS AND INTERNET OF THINGS (IOT) SYSTEMS FOR PREDICTING MAINTENANCE MATERIALS OF SMART GAS PIPELINE NETWORKS
The embodiments of the present disclosure provide method and Internet of Things (IoT) systems for predicting maintenance materials of a smart gas pipeline network. The method may be implemented based on a smart gas safety management platform of an Internet of Things (IoT) system for predicting maintenance materials of a smart gas pipeline network. The method may comprise: obtaining a pipeline network feature of a gas pipeline network; predicting fault probabilities of one or more point positions of the gas pipeline network based on the pipeline network feature, the fault probabilities including probabilities of one or more preset fault types of faults occurring at the point positions; and determining demand for the maintenance materials based on the fault probabilities of the one or more point positions.
DEVICE STATE MONITORING SYSTEM
To provide a device state monitoring system capable of monitoring an operating status of a device in detail. The device state monitoring system includes: a collection unit that acquires, from a device which executes a series of processes, operating information about the device in a time-series manner; and a process determination unit that performs matching of the operating information acquired by the collection unit with matching data obtained by modeling the operating information acquired from the device when the device is in each of the processes, and determines process information concerning the process which the device is executing.
MANAGEMENT METHODS AND MANAGEMENT INTERNET OF THINGS SYSTEMS FOR MAINTENANCE PERSONNEL OF SMART GAS
The embodiments of the present disclosure provide a management method and a management Internet of Things system for a maintenance personnel of smart gas. The management method is implemented based on a smart gas safety management platform of a management Internet of Things system for maintenance personnel of smart gas. The method may include the following operations. Maintenance personnel information of at least one maintenance personnel may be obtained. The maintenance personnel information may include first positioning information of each of the at least one maintenance personnel. Second positioning information corresponding to at least one maintenance task may be obtained. A candidate maintenance task may be determined based on the first positioning information and the second positioning information. The candidate maintenance task may be sent to a user terminal of the maintenance personnel.
MANAGEMENT METHODS AND MANAGEMENT INTERNET OF THINGS SYSTEMS FOR MAINTENANCE PERSONNEL OF SMART GAS
The embodiments of the present disclosure provide a management method and a management Internet of Things system for a maintenance personnel of smart gas. The management method is implemented based on a smart gas safety management platform of a management Internet of Things system for maintenance personnel of smart gas. The method may include the following operations. Maintenance personnel information of at least one maintenance personnel may be obtained. The maintenance personnel information may include first positioning information of each of the at least one maintenance personnel. Second positioning information corresponding to at least one maintenance task may be obtained. A candidate maintenance task may be determined based on the first positioning information and the second positioning information. The candidate maintenance task may be sent to a user terminal of the maintenance personnel.
CORRELATIVE RISK MANAGEMENT FOR MESH NETWORK DEVICES
A network of Internet of Things (IoT) devices can leverage sensor data from the IoT devices to detect that a device has been activated, determine whether the activation was intentional, and, if it were not, issue commands to deactivate the device. The network can learn over time to correlate trends in sensor data with activations of devices.
INTERNET OF THINGS (IOT) WATER PRESSURE AND QUALITY MONITORING SYSTEM
A water pressure and quality sensing system for use in a municipal water supply. The system includes a pressure transducer in fluid communication with the municipal water supply, the pressure transducer configured to convert fluid pressure to an analog electrical signal. A network modem including firmware configured to interpret the analog electrical signal is provided, the network modem is in electrical communication with the pressure transducer. The network modem configured to communicate wirelessly with a device remote manager. The device remote manager having an application programming interface (API) and a geographic information system (GIS) software platform configured for analyzing incoming data with a geoviewer functionality, wherein the geoviewer functionality is configured for generating pipeline leak alerts.
INTERNET OF THINGS (IOT) WATER PRESSURE AND QUALITY MONITORING SYSTEM
A water pressure and quality sensing system for use in a municipal water supply. The system includes a pressure transducer in fluid communication with the municipal water supply, the pressure transducer configured to convert fluid pressure to an analog electrical signal. A network modem including firmware configured to interpret the analog electrical signal is provided, the network modem is in electrical communication with the pressure transducer. The network modem configured to communicate wirelessly with a device remote manager. The device remote manager having an application programming interface (API) and a geographic information system (GIS) software platform configured for analyzing incoming data with a geoviewer functionality, wherein the geoviewer functionality is configured for generating pipeline leak alerts.