Abstract: An industrial internet of things based on identification of material transportation obstacles, a control method and a storage medium are provided. The industrial internet of things comprises a service platform, a management platform and a sensor network platform which are connected in sequence, wherein the management platform comprises: an obtaining module, a selection module, classification module, calculation module, a planning module, a control module and a communication module. According to the industrial Internet of Things based on identification of material transportation obstacles, the control method and the storage medium, the selection efficiency of a new route in the event of material transportation obstacles can be effectively improved by classifying, planning and calculating intermediate paths.

Abstract: The present disclosure provides an industrial IoT for determining repairability of a defective product, a control method, and a storage medium. The industrial IoT includes an obtaining module, a total correction cost determination module, and a defective product processing module. The obtaining module is configured to obtain defective product data. The total correction cost determination module is configured to in response to a determination that a number of the defective product is larger than 1, obtain a first defective product vector and a second defective product vector; determine a first total correction cost and at least one second total correction cost; determine, based on the first total correction cost and the at least one second total correction cost, a total correction cost. The defective product processing module is configured to determine, based on the total correction cost and a preset cost, whether the defective product is repairable.

Abstract: 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.

Abstract: A method for linkage between an alarm based on gas and a gas meter is provided. The method is executed by the gas meter. The method includes: obtaining a detection signal through electrical connection with the alarm; determining a target alarm event corresponding to the detection signal in response to the detection signal meeting a preset alarm condition; in response to the detection signal meeting the preset alarm condition, receiving a reset instruction issued by a management platform; performing reset operation on the alarm based on the reset instruction; obtaining a reset detection signal and determining a reset alarm event corresponding to the reset detection signal; determining a credibility of the target alarm event; sending a control closing instruction to the gas meter based on the credibility larger than a preset credibility threshold, and closing a gas valve of the gas meter based on the control closing instruction.

Abstract: The embodiments of the present disclosure provide a method for predicting a gate station filter replacement at a gate station for smart gas and an Internet of Things system. The method includes: obtaining, by a smart gas data center, usage information of a filter element through a smart gas sensor network platform, the usage information at least including at least one of ventilation efficiency of the filter element, filtered impurity information, and a blockage degree; obtaining, by a smart gas pipeline network device management sub-platform, the usage information from the smart gas data center, determining a filter element maintenance plan based on the usage information, and sending the filter element maintenance plan to the smart gas data center; and sending, by the smart gas data center, the filter element maintenance plan to a smart gas user platform through a smart gas service platform.

Abstract: The present disclosure provides a method for determining a gas pipeline network opening scheme based on smart gas, which is performed by a smart gas management platform. The smart gas management platform comprises a smart user service management sub-platform, a smart operation management sub-platform and a smart gas data center. The method comprises: obtaining, by the smart gas data center, a region feature of each region within a target range through a smart gas sensing network platform; determining, by the smart operation management sub-platform, a gas demand degree of the each region based on the region feature of the each region; determining, by the smart operation management sub-platform, a region as a first-class region based on the gas demand degree in the region meeting a preset condition, and determining the gas pipeline network opening scheme for the region.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for determining a purification parameter of gas in a storage and distribution station. The IoT system includes a smart gas user platform, a smart gas service platform, a smart gas device management platform, a smart gas sensor network platform, and a smart gas object platform. The method is executed by a processor of the smart gas device management platform. The method includes: predicting at least one group of recommended operation parameters and at least one effect score corresponding to the at least one group of recommended operation parameters through a recommended operation parameter prediction model; determining an operation parameter in a purification process; and generating a remote control instruction and sending the remote control instruction to the smart gas object platform for performing a purification operation of the raw gas.

Abstract: An Industrial Internet of Things system for managing a production task is provided. The system comprises a user platform, a service platform, a management platform, a sensor network platform interacted sequentially. The service platform is configured to receive a modification instruction of a user. The management platform is configured to obtain raw material data and reference material data; determine target reference material data whose matching relationship satisfies a preset condition, and take reference process parameters corresponding to the target reference material data as first candidate process parameters; determining second candidate process parameters through processing the first candidate process parameters; and determine target process parameters based on cost values corresponding to the second candidate process parameters; and determine a modification plan.

Abstract: Method and an IoT system for gas gate station monitoring are provided. The method includes obtaining operation data of a gas gate station; obtaining a downstream user feature corresponding to the gas gate station and historical warning data corresponding to the gas gate station; determining, based on the downstream user feature and the historical warning data and in combination with the operation data, the associated node in a preset time period, the associated node including at least one of a gate station internal node and an external pipeline network node; obtaining monitoring data of the associated nodes, the monitoring data at least including node monitoring data of the gate station internal node and node monitoring data of the external pipeline network node; and issuing a warning notification in response to the monitoring data not satisfying a preset condition.

Abstract: A method, an Internet of Things system, and a medium for smart gas maintenance management order dispatch warning are provided. The method comprises: assigning a gas work order to an order receiver in response to an assignment module, and determining an warning characteristic of the gas work order; wherein, determining the warning characteristic of the gas work order comprise: based on the fault location characteristic of the gas work order, determining the traffic warning value through the traffic warning value determination module; determining the fault warning value based on the gas fault characteristic of the gas work order through the fault warning value determination module; in response to the warning monitoring module monitoring that the warning characteristic meet the preset condition, providing a warning to the order receiver by the warning module.

Abstract: A foldable electric bed frame that is relatively thinner in a folded state and easy to pack and transport includes a bed frame body, subframes, driving motors, bed boards, and detachable bed legs. The driving motors and the bed boards are connected to the bed frame body and the subframes. Flexible covering members are further comprised. The flexible covering members are arranged along the edges of the periphery of the bottom of the bed boards and are connected to the bottom of the bed boards through velcro or other detachable connecting members; and when the bed frame body is in a folded state, the flexible covering members are located between the stacked bed boards. The flexible covering members are arranged around the bed boards, and when the bed frame is folded, the flexible covering members are used as a buffering measure.

Abstract: Embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for managing smart gas safety based on user activity. The method includes obtaining gas data of a gas user, determining, based on the gas data, a gas risk for the gas user, and determining at least one target on-site user based on the gas risk. The method further includes determining, based on at least the gas data of the target on-site user, an activity distribution of the at least one target on-site user, and based on the activity distribution, determining a recommended on-site time set and sending the recommended on-site time set to the at least one target on-site user.

Abstract: A redundant hardware and software architecture can be designed to enable vehicles to be operated in an autonomous mode while improving the reliability and/or safety of such vehicles. A system for redundant architecture can include a set of at least two redundant sensors coupled to a vehicle and configured to provide timestamped sensor data to each of a plurality of computing unit (CU) computers. The CU computers can process the sensor data simultaneously based on at least a time value indicative of an absolute time or a relative time and based on the timestamped sensor data. The CU computers provide to a vehicle control unit (VCU) computer at least two sets of outputs configured to instruct a plurality of devices in a vehicle and cause the vehicle to be driven.

Abstract: The embodiment of the present disclosure provides a method and an Internet of Things system for monitoring a smart gas pipeline network based on an ultrasonic flowmeter. The method is implemented by a smart gas management platform of the Internet of Things system, including: acquiring distributed ultrasonic data for least at one moment, the distributed ultrasonic data including ultrasonic data acquired by the ultrasonic flowmeter and the ultrasonic flowmeter being deployed at at least one detection position of the gas pipeline network; determining a leakage risk of at least one preset point of the gas pipeline network based on the distributed ultrasonic data; and generating and sending warning information to a user based on the leakage risk.

Abstract: The following is directed to an abrasive particle having a body including a core and a coating overlying at least a portion of the core. The coating can include a content of lithium. In an embodiment, the coating can further include silicon, oxygen, or a combination thereof.

Abstract: The present disclosure provides a method for smart gas pipeline transportation performance prediction. The method includes: determining, based on a gas pipeline map, transportation performance of a target gas pipeline section by a transportation performance determination model, wherein the gas pipeline map reflects a connection relationship of a plurality of gas pipeline sections within a preset range of the target gas pipeline section, and the gas pipeline map is generated based on information of one or more historical gas pipeline sections; nodes of the gas pipeline map include connections between the gas pipeline sections, gas storage points, gate stations, or pipeline bends, and edges of the gas pipeline map include the gas pipeline sections; a node feature of the gas pipeline map includes whether to process gas, an edge feature of the gas pipeline map includes pipeline parameters and a pipeline maintenance situation.

Abstract: The embodiments of the present disclosure provide a method and smart gas Internet of Things (IoT) system for determining a gas abnormity for a safe gas use. The method is implemented by a smart gas IoT system including a smart gas user platform, a smart gas service platform, a smart gas safety management platform, a smart gas indoor device sensing network platform, and a smart gas indoor device object platform. The method is performed by the smart gas safety management platform, including: receiving request information of a target user, the request information including a request of the target user for analyzing a gas abnormity cause; extracting user data based on the request information, and extracting gas data based on the user data; and determining, based on the user data and the gas data, analysis information of the gas abnormity cause.

Abstract: The present disclosure provides a method and an Internet of Things system for managing a gas pressure based on smart gas. The method includes: determining a gas in-home pressure regulation scheme, and the gas in-home pressure regulation scheme including a pressure regulation parameter of a gas device; generating, based on the gas in-home pressure regulation scheme, a pressure regulation instruction; regulating, based on the pressure regulation instruction, a gas in-home pressure of at least one floor; and transmitting the gas in-home pressure regulation scheme to a smart gas user terminal.

Abstract: The disclosed technology enables automated parking of an autonomous vehicle. An example method of performing automated parking for a vehicle comprises obtaining, from a plurality of global positioning system (GPS) devices located on or in an autonomous vehicle, a first set of location information that describes locations of multiple points on the autonomous vehicle, where the first set of location information are associated with a first position of the autonomous vehicle, determining, based on the first set of location information and a location of the parking area, a trajectory information that describes a trajectory for the autonomous vehicle to be driven from the first position of the autonomous vehicle to a parking area, and causing the autonomous vehicle to be driven along the trajectory to the parking area by causing operation of one or more devices located in the autonomous vehicle based on at least the trajectory information.

Abstract: A method, an Internet of Things system, and a storage medium for assessing a smart gas emergency plan are provided, the method is executed by a smart gas safety management platform of the Internet of Things system. The method may include: obtaining a gas pipeline network warning information distribution of a gas pipeline network, the warning information distribution including warning information of at least one warning point location; obtaining gas monitoring data of at least one associated point location corresponding to the at least one warning point location; determining at least one emergency processing point based on the warning information distribution and the gas monitoring data of at least one associated point location; and determining a deployment plan for a gas emergency vehicle based on a gas supply blockage range of the at least one emergency processing point.