Abstract: The embodiment of the present disclosure provides a method and Internet of things (IoT) system for creating a smart gas call center work order. The IoT system includes a smart gas user platform, a smart gas service platform, a smart gas safety management platform, a smart gas sensor network platform and a smart gas object platform. The method is executed by the smart gas safety management platform, including: obtaining maintenance work order information; determining, based on the maintenance work order information, a maintenance type and a maintenance difficulty level of at least one maintenance task; predicting, based on the maintenance type and the maintenance difficulty level, a man-hour requirement and a material requirement for the at least one maintenance task; and determining, based on the man-hour requirement and the material requirement, a work order allocation plan.

Abstract: A system for integrating video content and data provision includes an upstream signal path to process upstream data traffic received from a first transmission network for transmission to a second transmission network, and a downstream signal path to process downstream data traffic and downstream video traffic for transmission from the second transmission network to the first transmission network. The upstream signal path includes an analog-to-digital converter (ADC) and an upstream demodulator, and the downstream signal path includes an Ethernet processor, a digital-signal-processor (DSP) and a digital-to-analog converter (DAC).

Abstract: A UE determines a default beam for a physical downlink shared channel (PDSCH) that is independent of a beam for a physical downlink control channel (PDCCH). The default PDSCH beam may be determined based on information received in a medium access control-control element (MAC-CE), or a radio resource control (RRC) message, a downlink control information (DCI). The default PDSCH beam may be determined based on at least one active transmission configuration indication (TCI) state for the PDSCH.

Abstract: The embodiments of the present disclosure provide an Industrial Internet of Things based on an event sequence analysis and prediction, a method, and a storage medium thereof. The Industrial Internet of Things includes a management platform, and the management platform is configured to obtain an ordered set of instructions for a preset time period, the ordered set of instructions including a plurality of instructions, and instruction content of each instruction of the plurality of instructions including at least one of instruction type, instruction parameter, and instruction execution time; determine whether there is an abnormal instruction based on the ordered set of instructions; and analyze and modify the abnormal instruction in response to a determination that there is the abnormal instruction.

Abstract: The present disclosure provides a method and an Internet of Things system for determining a government traffic route in a smart city. The method may include: receiving a query request for a preset route initiated by a user, transmitting the query request to the government traffic route determination management platform, generating a query instruction, issuing the query instruction to the government sensor network platform, sending the query instruction to corresponding object platform, obtaining the traffic data information according to the query instruction, uploading the traffic data information to the government traffic route determination management platform, determining the time when each preset route reaches the target location, and feeding back the time when each preset route reaches the target location to the citizen user platform through the government service platform.

Abstract: The embodiment of the present disclosure provides methods and Internet of Things (IoT) systems for gas resource dispatching based on a smart gas call center. The method is executed by the IoT system for gas resource dispatching based on a smart gas call center. The method includes: obtaining gas use data of different types of gas users and determining a gas use feature; obtaining gas demand data; predicting, based on the gas use feature, the gas demand data, and gas maintenance data of the smart gas call center, whether a gas supply of at least one of a plurality of second times meets a gas demand; in response to a prediction that the gas supply of the at least one of the plurality of the second times is incapable of meeting the gas demand, adjusting a gas dispatching plan.

Abstract: A high-strength Portland cement slurry for ultra-high-temperature cementing, a preparation method therefor and an application thereof. In parts by weight, the composition of the cement slurry comprises: 100 parts of Portland cement, 4-6 parts of a high temperature anti-cracking material, 80-105 parts of a high-temperature reinforcing material, 70-78 parts of water, 0.5-1.5 parts of a dispersant, 1-3 parts of a fluid loss reducer, 0.5-2.5 parts of a retarder and 0.2-0.5 parts of a defoamer; the high-temperature reinforcing material is a combination of acid-washed quartz sand, metakaolin and aluminum sulfate, a combination of acid-washed quartz sand, metakaolin, feldspar and sodium sulfate, or a combination of acid-washed quartz sand, metakaolin, feldspar and calcium nitrite. The cement slurry has good settling stability, rapid strength development in low temperatures, high compressive strength of cement stone at a high temperature of 600° C.

Abstract: The present disclosure provides an Industrial Internet of Things, a control method and storage medium for sheet workpiece processing. The Industrial Internet of Things includes a detecting module and a processing module; the detecting module is configured to detect a machining process of a sheet workpiece to obtain detection information; and the processing module is configured to adjust a production device based on the detection information. By detecting and adjusting a sheet workpiece, on the one hand, the present disclosure can effectively improve the subsequent processing accuracy of the sheet workpiece, on the other hand, the present disclosure can simplify an adjustment process and improve the adjustment efficiency of a bearing mechanism of a target sheet workpiece.

Abstract: The present disclosure relates to a beverage or food brewing method and a beverage or food brewing machine. The beverage or food brewing method includes following steps: actuating a beverage or food brewing machine to produce powder through a grinding device and to output the powder to a powder holder; when the powder in the powder holder reaches a set amount, obtaining a first grinding time value T11 of the beverage or food brewing machine; according to the first grinding time value T11, obtaining a prolonged grinding time value T12 corresponding to the first grinding time value T11; making the grinding device continue operating for a period of time determined by the prolonged grinding time value T12 and outputting the powder from the grinding device to the powder holder.

Abstract: The present disclosure discloses a method for execution of a computational graph in a neural network model and an apparatus thereof, including: creating task execution bodies on a native machine according to a physical computational graph compiled and generated by a deep learning framework, and designing a solution for allocating a plurality of idle memory blocks to each task execution body, so that the entire computational graph participates in deep learning training tasks of different batches of data in a pipelining and parallelizing manner.

Abstract: The disclosure provides a method for determining garbage treatment in a smart city, an Internet of Things system, and storage medium. The Internet of Things system includes a management platform, a sensor network platform, and an object platform. The method includes: obtaining an image of at least one garbage gathering point in a preset area and a scale of the preset area based on the object platform; determining a current garbage amount of at least one garbage gathering point based on the image; determining a garbage growth rate of at least one garbage gathering point based on the scale of the preset area; determining a target garbage gathering point based on the current garbage amount of at least one garbage gathering point and the garbage growth rate of at least one garbage gathering point; and controlling a garbage treatment device to treat garbage at the target garbage gathering point.

Abstract: Methods, systems, and devices for wireless communications are described. The method includes receiving control signaling indicating for the UE to monitor a set of multiple synchronization signal blocks during a first transmission time interval, determining a priority order of the set of multiple synchronization signal blocks based on a number of beam switch events that occur during the first transmission time interval exceeding a beam switch capability limit of the UE, performing a set of multiple beam measurements of at least a subset of the set of multiple synchronization signal blocks that occur during the first transmission time interval according to the priority order of the set of multiple synchronization signal blocks, and transmitting a beam report to a base station based on the set of multiple beam measurements.

Abstract: Aspects described herein relate to receiving, from a node and using a serving beam for loop processing, at least a first signal in a synchronization signal burst set, and receiving, from the node and using a non-serving beam for beam sweeping, at least a second signal in the synchronization signal burst set.

Abstract: The embodiments of the present disclosure provide methods and Internet of Things (IoT) systems for maintenance management of a smart gas call center. The method includes: obtaining call consultation data information of a gas user; generating a multi-dimensional location evaluation value of an agent to be evaluated based on the call consultation data information, wherein the agent to be evaluated locates a gas fault type based on the call consultation data information; generating a multi-dimensional maintenance evaluation value of a maintainer to be evaluated based on the call consultation data information, wherein the maintainer to be evaluated performs maintenance based on the gas fault type; and adjusting a work order processing scope of the maintainer to be evaluated and the agent to be evaluated based on the multi-dimensional maintenance evaluation value and the multi-dimensional location evaluation value.

Abstract: The present disclosure discloses an industrial Internet of Things for intelligent control of filling production, including a user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence, wherein the service platform is provided with a plurality of independent service sub-platforms; the management platform is provided with a general management platform and a plurality of independent management sub-platforms, the management sub-platforms interacting with the general management platform, and the management sub-platforms interacting with the corresponding service sub-platforms; and the sensor network platform is provided with a general sensor network platform and a plurality of independent sensor network sub-platforms, the sensor network sub-platforms interacting with the general sensor network platform, and the general sensor network platform interacting with the general management platform.

Abstract: The present disclosure provides a method, an Internet of Things system and a storage medium for visualizing a work order of a smart gas platform. The method is executed by a smart gas management platform of an Internet of Things system for visualizing a work order of a smart gas platform, the method comprises: obtaining work order management data and executor data; determining at least one candidate gas work order based on the work order management data and the executor data; generating, based on the at least one candidate gas work order, a first information to be presented; and generating a gas work order data graph based on the first information to be presented, the gas work order data graph being a visual chart.

Abstract: The embodiments of the present disclosure provide methods and Internet of Things (IoT) systems for handling an emergency based on a call center of smart gas. The method may be implemented through an IoT system for handling an emergency based on a call center of smart gas. The IoT system may include a smart gas user platform, a smart gas service platform, a smart gas management platform, a smart gas sensor network platform, and a smart gas object platform. The method performed by the smart gas management platform may comprise: obtaining information of a gas emergency based on a call answered by the call center of smart gas; determining severity of the gas emergency based on the information of the gas emergency; and automatically determining an emergency response plan of the gas emergency based on the information of the gas emergency and the severity of the gas emergency.

Abstract: The embodiments of the present disclosure provide methods for managing a return visit based on a call center of smart gas. The method may comprise: obtaining gas call consultation data of one or more gas users, the gas call consultation data including at least a call type distribution; determining a return visit gas user based on the gas call consultation data of one or more gas users; and determining return visit parameters based on the gas call consultation data of the return visit gas user and gas user features of the return visit gas user, the gas user features including at least a gas terminal type, and the return visit parameters including at least a return visit question set.