Abstract: The embodiment of the present disclosure provides a method and an Internet of Things system for managing and controlling a risk in a smart gas pipeline network by combining an ultrasonic flowmeter. The method includes: acquiring distributed ultrasonic data for least at one moment, processing at least one group of distributed ultrasonic data with different detection position distributions at at least one moment in a second preset time period through a low-volume leakage prediction model to determine at least one candidate second leakage risk of at least one preset point of the gas pipeline network; performing a weighted summation on the at least one candidate second leakage risk, and determining a second leakage risk of the at least one preset point; and generating warning information based on the second leakage risk, and sending the warning information to the user platform through the service platform for display to a user.

Abstract: Embodiments of the present disclosure provide a method for detecting a gas alarm based on smart gas and an Internet of Things (IoT) system. The method comprises: determining a self-detection parameter and collecting gas monitoring data through the gas alarm; in response to determining that a collaborative verification request is received or a collaborative cycle is satisfied, determining whether the gas alarm has a fault based on the gas monitoring data and gas usage data of a user; in response to determining that the gas alarm has the fault, generating, based on the gas monitoring data, a fault data sequence of the gas alarm; and determining, based on the fault data sequence, a dispatching maintenance parameter of the gas alarm. The IoT system comprises a smart gas user platform, a smart gas service platform, a smart gas safety management platform, a smart gas indoor equipment sensor network platform, and a smart gas indoor equipment object platform.

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 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: 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: 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: Disclosed are compounds of the formula I or a stereoisomer, tautomer, or pharmaceutically acceptable salt or solvate thereof, wherein each variable in Formula 1 are as defined in the specification; and pharmaceutical compositions comprising the compounds of formula I. Also disclosed are methods of inhibiting aspartyl protease, and in particular, the methods of treating cardiovascular diseases, cognitive and neurodegenerative diseases, and the methods of inhibiting of Human Immunodeficiency Virus, plasmepins, cathepsin D and protozoal enzymes. Also disclosed are methods of treating cognitive or neurodegenerative diseases using the compounds of formula I in combination with a cholinesterase inhibitor or a muscarinic m1 agonist or m2 antagonist.

Abstract: Disclosed are compounds of the formula I or a stereoisomer, tautomer, or pharmaceutically acceptable salt or solvate thereof, wherein Q is a bond or —N(R5)—; T is a bond, —O—, —C(O)—; S, —N(R5)—, or —C(R6?R7?); U is a bond or —C(R6)(R7)— Y is C or N; Z is C or N; ring A, including variables Y and Z, is a three to nine membered cycloalkyl, cycloalkenyl, heterocyclyl, heterocyclenyl, aryl, and heteroaryl ring having 0 to 4, preferably 0 to 2, heteroatoms independently selected from the group consisting of O, S, N and —N(R)—, wherein ring A is unsubstituted or substituted with 1 to 5 independently selected R1 moieties and/or oxo when ring A is cycloalkyl, cycloalkenyl, heterocyclyl or heterocyclenyl; and R, R1, R2, R3, R4, R5, R6, R6, R7 and R7? are as defined in the specification; pharmaceutical compositions comprising the compounds of formula I and the method of inhibiting aspartyl protease, and in particular, the methods of treating cardiovascular diseases, cognitive and neurodegenerative diseases.

Abstract: Disclosed are compounds of the formula I or a stereoisomer, tautomer, or pharmaceutically acceptable salt or solvate thereof, wherein Q is a bond or —N(R5)—; T is a bond, —O—, —C(O)—; S, —N(R5)—, or —C(R6?R7?); U is a bond or —C(R6)(R7)— Y is C or N; Z is C or N; ring A, including variables Y and Z, is a three to nine membered cycloalkyl, cycloalkenyl, heterocyclyl, heterocyclenyl, aryl, and heteroaryl ring having 0 to 4, preferably 0 to 2, heteroatoms independently selected from the group consisting of O, S, N and —N(R)—, wherein ring A is unsubstituted or substituted with 1 to 5 independently selected R1 moieties and/or oxo when ring A is cycloalkyl, cycloalkenyl, heterocyclyl or heterocyclenyl; and R, R1, R2, R3, R4, R5, R6, R6, R7 and R7? are as defined in the specification; pharmaceutical compositions comprising the compounds of formula I and the method of inhibiting aspartyl protease, and in particular, the methods of treating cardiovascular diseases, cognitive and neurodegenerative diseases.

Abstract: Disclosed are compounds of the formula I or a stereoisomer, tautomer, or pharmaceutically acceptable salt or solvate thereof, wherein each variable in Formula I are as defined in the specification; and pharmaceutical compositions comprising the compounds of formula I. Also disclosed are methods of inhibiting aspartyl protease, and in particular, the methods of treating cardiovascular diseases, cognitive and neurodegenerative diseases, and the methods of inhibiting of Human Immunodeficiency Virus, plasmepins, cathepsin D and protozoal enzymes. Also disclosed are methods of treating cognitive or neurodegenerative diseases using the compounds of formula I in combination with a cholinesterase inhibitor or a muscarinic m1 agonist or m2 antagonist.