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: Disclosed are a method and an industrial IoT system for factory testing of an ultrasonic gas meter for smart production. The method may include: obtaining a type of a gas meter to be tested based on the smart production data center; determining at least one reference gas meter based on the type of the gas meter to be tested; determining, based on historical application data of the at least one reference gas meter, predicted application data of the gas meter to be tested; determining an application characteristic based on the predicted application data; determining a predetermined test parameter; issuing a test instruction to test the gas meter to be tested; and obtaining a test result based on the smart production object platform and determining a reliability score of the gas meter to be tested based on the test result and display data of the gas meter to be tested.

Abstract: This present disclosure provides a method for regulating a rated outlet pressure of a gate station compressor for smart gas, which is implemented based on an Internet of Things system for regulating a rated outlet pressure of a gate station compressor for smart gas. The method includes: obtaining user features of a downstream gas usage based on the smart gas object platform, the user features including at least a user type and at least one of downstream flow prediction values of a plurality of future moments, wherein the downstream flow prediction values are obtained by a downstream flow prediction model based on a historical downstream flow sequence; obtaining operation parameters of a compressor, the operation parameters including at least a rated outlet pressure set by the compressor; and determining a rated outlet pressure adjustment amount of the compressor based on the user features and the operation parameters.

Abstract: The present disclosure provides a method, an Internet of Things system, and a medium for seat management of a smart gas call center. The method includes: obtaining gas usage data, the gas usage data including at least a historical gas usage rate; generating, based on the gas usage data, a predicted call feature of a smart gas call center within a target time period; generating, based on the predicted call feature, a preferred seat feature of the smart gas call center within the target time period; and transmitting the preferred seat feature to a terminal of the smart gas call center.

Abstract: The embodiments of present disclosure provide methods and systems for corrosion protection optimization of a pipeline of smart gas. The method may be implemented through a smart gas safety management platform of an Internet of Things (IoT) system for corrosion protection optimization of a pipeline of smart gas. The method may include: obtaining inspection data of a gas pipeline in a gas pipeline network, the inspection data including gas monitoring data; determining a corrosion situation of a pipe wall of the gas pipeline based on the inspection data; and determining a repair plan based on the corrosion situation of the pipe wall.

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: Embodiments of the present disclosure provides a method and a system for managing UAV data transmission in smart city based on IoT. The method includes obtaining requirement information of a user by a general platform of the management platform from the user platform through the service platform, and assigning the requirement information to a corresponding management sub-platform; determining different time domains and different airspaces of at least two UAVs performing missions by the management sub-platform based on the requirement information, wherein the different time domains may have an overlapping interval, and the different airspaces may have an overlapping interval; and controlling the at least two UAVs to perform the different missions in the different time domains and the different airspaces by the management platform, and collecting mission data corresponding to different missions.

Abstract: The embodiments of the present disclosure provide a method for troubleshooting potential safety hazards of a compressor in a smart gas pipeline network and an Internet of Things system thereof. The method comprises: performing a purification process on sound data of a gas compressor, and determining a target sound feature; establishing a feature data vector library based on networked data and reference device data; determining a current gas data vector and a current device data vector based on gas data and device data, respectively; searching the feature data vector library based on the current gas data vector and the current device data vector, and determining a reference sound feature and a reference vibration feature that meet a preset condition as a standard sound feature and a standard vibration feature; and predicting whether there is a safety hazard in the gas compressor using a hazard model.

Abstract: 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.

Abstract: The present disclosure provides an Industrial Internet of Things system for intelligent repair of manufacturing equipment and a control method. The Industrial Internet of Things system includes a management platform, a sensor network platform, and an object platform interacting in sequence. The object platform is configured as a plurality of manufacturing equipment arranged in sequence according to a process sequence on the assembly line. The management platform is configured to issue self-repair instructions and failure handling instructions corresponding to the intelligent repair method to the corresponding manufacturing equipment through the sensor network platform, so as to realize the automatic repair of manufacturing equipment, reduce the cost of manual troubleshooting, and ensure the normal production and manufacturing of the assembly line.

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: A method and system of determining a pressure regulation scheme at an intelligent gas gate station based on an Internet of Things are provided. The method is performed by at least one processor of 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.

Abstract: A method, an Internet of Things (IoT) system, and a medium for disposing emergency gas supply of smart gas are provided. The method comprises: obtaining gas data based on a data acquisition device; determining future predicted data of a gas pipeline network system based on the gas data and gas pipeline features; determining a future fault pipeline based on the future predicted data; determining target regions based on the future fault pipeline; and determining an emergency vehicle dispatch instruction based on the target regions.

Abstract: The present disclosure provides an industrial IoT for correction and regulation of a defective product, a control method, and a storage medium. The industrial IoT includes a user platform, a service platform, a management platform, and a sensing network platform that interact in sequence. The service platform, the management platform, and the sensing network platform are all arranged in a front-sub-platform layout. The control method is applied in the industrial IoT. The industrial IoT may calculate whether a defective product is correctable according to a correction cost of the defective product, and may reduce the correction cost and a time consumption of a corresponding correction device, thereby reducing correction cost of the defective product and a loss in a manufacturing process, further ensuring a normal product manufacturing efficiency of the correction device, and thus reducing a correction loss of a waste product and the defective product.

Abstract: The present disclosure discloses Industrial Internet of Things (IIoT) system for industrial production data management, control method, and storage medium. By adopting different encryption methods for different image data, and without changing the overall architecture of the cloud computing Internet of Things, the safe penetration of sensitive data on the cloud computing platform is realized, which effectively improves the security of sensitive data. In addition, it does not require additional wiring, reducing the networking cost of the Internet of Things, which has high applicability.

Abstract: The embodiments of the present disclosure provide a method for safety management of a compressor in a smart gas pipeline network and an Internet of Things system thereof. The method is implemented based on a smart gas safety management platform of an Internet of Things system for safety management of a compressor in a smart gas pipeline network. The method comprises: obtaining sound data and a target vibration feature of a gas compressor, and determining a target sound feature based on the sound data; obtaining gas data and device data, and determining a standard sound feature and a standard vibration feature based on the gas data and the device data; and predicting whether there is a safety hazard in the gas compressor based on the target vibration feature and the standard vibration feature, or based on the target sound feature and the standard sound feature.

Abstract: The present disclosure provides an Industrial Internet of Things for implementing a production task plan, including at least one user platform, a service platform, a management platform, a sensor network platform, and one or more object platforms that are interacted sequentially from top to bottom; the service platform is arranged in an independent layout, the management platform is arranged in a front sub platform layout, and the sensor network platform is arranged in a rear sub platform layout; the one or more object platforms are configured as one or more intelligent manufacturing devices or one or more manufacturing management devices.

Abstract: The present disclosure provides an industrial Internet of Things comprising a user platform, a service platform, and a management platform, wherein the management platform is configured to perform the following operations including: in response to receiving a second instruction from the service platform, determining whether a moving force of an automatic stacker satisfies the execution condition, the second instruction is determined by the service platform based on a first instruction sent by the user platform, and the first instruction includes a goods retrieval instruction; controlling the automatic stacker to execute a pick-and-place operation in response to the moving force of the automatic stacker satisfying the execution condition; and in response to the automatic stacker completing the pick-and-place operation, determining a target standby position and controlling the automatic stacker to move to the target standby position.

Abstract: 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.

Abstract: The present disclosure provides a method for determining an allocation scheme of accident rescue resource in a smart city. The method comprises: obtaining accident information of an accident point based on the object platform; sending the accident information to the management platform based on the sensor network platform; determining resource demand of the accident point based on the accident information through the management platform; obtaining available resource of at least one candidate rescue point based on the object platform; sending the available resource to the management platform based on the sensor network platform; determining the allocation scheme of rescue resource based on the resource demand and the available resource through the management platform; and sending the allocation scheme of rescue resource to the user platform through the service platform.