Abstract: The present disclosure provides a method and a system for greenspace cultivation and management in a smart city based on an Internet of Things.

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 (IoT) system for safety management of a smart gas underground gas pipeline network. The method is implemented by a smart gas safety management platform and includes: obtaining basic monitoring information of at least one pipeline network partition collected by distributed monitoring components arranged at a plurality of monitoring points; determining at least one key monitoring point and monitoring content of the at least one key monitoring point; determining an inspection plan and a performance allocation plan for the smart gas safety management platform; adjusting the preset monitoring frequency of the distributed monitoring components located at different key monitoring points and at areas surrounding the different key monitoring points; and generating an alarm message to be sent to a user terminal based on an inspection result of the inspection robot.

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: An industrial internet of things system for intelligent production control is provided, comprising: a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The user platform modifies production line parameters based on an instruction of the user, generates a first instruction, and sends it to the management platform through the transformation of the service platform. The object platform collects production link data of each production link of products and transmits it to the management platform. The management platform modifies work order parameters based on a second instruction transformed by the service platform, generates a third instruction, and determines whether devices corresponding to the plurality of production links are abnormal based on the production link data.

Abstract: The embodiment of the present disclosure provides a method and Internet of Things system for smart gas safety inspection route based on a Geographic Information System (GIS). The method is executed by a smart gas safety management platform of the Internet of Things system, comprising: determining track information of an inspector according to location data of the inspector; in response to the track information satisfying a preset requirement, determining a recommended inspection route based on the track information and gas monitoring data, and prompt the recommended inspection route through a display screen based on a first display parameter; in response to the track information not satisfying the preset requirement, determining a display condition of the display screen based on a second display parameter.

Abstract: A smart gas emergency gas supply equipment is provided. The smart gas emergency gas supply equipment may be an emergency vehicle including a skid-mounted vehicle, a gas storage tank, an extensible pipeline group, a pressure regulating device, a gasification device, and a control module. The control module may be configured to determine, based on an emergency gas supply plan of the smart gas emergency gas supply device, operating parameters of the pressure regulating device and the gasification device. The emergency gas supply plan at least includes a gas source selection plan and a gas demand, the gas source selection plan may at least include a gas pipeline network crossover and a gas tank direct supply.

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 an arctigenin liquid nano-preparation and a preparation method thereof, and relates to the technical field of pharmaceutical preparation. In the present disclosure, arctigenin is prepared into a liquid nano-preparation, having advantages of distribution of a droplet diameter on nanoscale, significantly increased specific surface area, rapid absorption, and high bioavailability. Meanwhile, nano-preparation entered the body can be captured by wandering leucocytes, and a medicament is delivered to inflammatory lesions through chemiotaxis, thereby conferring a targeted drug delivery feature on the arctigenin and making a therapy more targeted. Moreover, in the present disclosure, the arctigenin is dissolved in an oil phase, and the oil phase is dissolved in water by emulsification to further make the arctigenin dissolve in the water and increase water solubility of the arctigenin.

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: Methods and Internet of things systems for generating early warning information in a risk region in a smart city are provided. The method includes: obtaining, from at least one monitoring device of at least one target region based on a sensing network sub-platform of a sensing network platform, a monitoring image of the at least one target region by a public security management platform; sending the monitoring image of the corresponding target region to a management sub-platform of the public security management platform; and based on the management sub-platform, processing the monitoring image to determine a suspicious index of at least one person in the monitoring image; determining, based on a sum of suspicious group indexes of suspicious groups in the target region, a risk index of the target region; generating early warning information in response to the risk index of the target region greater than a first threshold.

Abstract: A method and a smart gas Internet of things (IoT) system for metering anti-interference of a gas ultrasonic meter. The IoT system including a smart gas user platform, a smart gas service platform, a smart gas sensing network platform, a smart gas object platform, and a smart gas device management platform. The method may be performed by the smart gas device management platform. The method may include: transmitting at least two sound waves of different frequencies at at least two time-dividing points and receiving at least two echo signals by the gas ultrasonic meter. The at least two time-dividing points may be determined at least based on time-dividing point correlation data; determining, based on the at least two echo signals, a gas flow difference; determining, based on the gas flow difference, whether a noise interference exists; and in response to a determination that the noise interference exists, adjusting a gas metering strategy.

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 provides a method and an Internet of Things (IoT) system for full-cycle management of smart gas equipment based on the big data, implemented by a smart gas equipment management platform of IoT system for full-cycle management of smart gas equipment based on big data. The method comprises obtaining operation data of gas equipment by generating a data obtaining instruction based on a preset cycle, generating a partitioning instruction based on the operation data, determining first partitioning data and second partitioning data based on the partitioning instruction, and determining a maintenance scheme for the gas equipment based on the first partitioning data and/or the second partitioning data.

Abstract: According to implementations of the subject matter described herein, there is provided a solution for protein structure prediction. In this solution, a constraint set for a target protein is obtained, the constraint set comprising constraints for structural properties of the target protein. Feature information is extracted from the constraints respectively, and weights corresponding to the constraints are determined respectively based on the feature information of the constraints. Each weight indicates a degree of influence of the corresponding constraint in prediction of a structure of the target protein. The structure of the target protein is predicted based on the constraints in the constraint set and the weights. According to the solution, through the pre-processing on the constraints for use, it is possible to solve potential conflicts in the constraint set and eliminate constraint redundancy. This enables accurate prediction of the structure of the target protein.

Abstract: According to implementations of the present disclosure, a solution is proposed for protein structure prediction. In this solution, from a fragment library for a target protein, a plurality of fragments is determined for each of a plurality of residue positions of the target protein. Each fragment comprises a plurality of amino acid residues. Then, a feature representation of structures of the plurality of fragments is generated for the each residue position. Next, a prediction of at least one of a structure and a structural property of the target protein is determined based on the respective feature representations generated for the plurality of residue positions. In this way, the solution can leverage structural information of fragment libraries to complement and complete information used in protein structure prediction, and the accuracy of protein structure prediction is thus improved.

Abstract: This application provides an augmented reality method, to dynamically associate an orientation of a virtual object with an orientation of a real object. The method in this application includes: obtaining a target image shot by a camera and first location information of a first object in the target image; obtaining second location information of a second object in a three-dimensional coordinate system and third location information of a third object in the three-dimensional coordinate system; obtaining a pose variation of the first object relative to the second object based on the first location information and the second location information; transforming the third location information based on the pose variation, to obtain fourth location information of the third object in the three-dimensional coordinate system; and rendering the third object in the target image based on the fourth location information, to obtain a new target image.

Abstract: A battery management circuit and method for a mobile device is disclosed. The battery management circuit includes a power supply input configured to receive power from an external power source and a system supply output. A battery supply terminal is configured to be coupled to a battery having a series arrangement of two or more battery cells. A battery charging circuit includes a buck converter having a buck converter input coupled to the power supply input and a buck converter output coupled to the system supply output. A battery isolation circuit and a switched capacitor DC-DC converter are arranged between the system supply output and the battery supply terminal. The switched capacitor DC-DC converter steps up the buck converter output voltage by a step-up factor during battery charging and steps down the battery voltage during battery discharge.

Abstract: The present invention discloses a Bluetooth mesh network system having a communication range extending mechanism that includes a plurality of nodes and a provisional node. The provisional node is configured to transmit a connection setting packet to the nodes to control the nodes to establish a coded PHY connection between each two of the nodes such that a packet error rate is smaller than a threshold value when the nodes perform communication when a physical distance between each two of the nodes is larger than a maximum non-coded-PHY communication distance, in which when the nodes establish a non-coded-PHY connection and the physical distance is larger than the maximum non-coded-PHY communication distance, the packet error rate is larger than the threshold value.

Abstract: The present invention provides a high-content carotenoid compound from Adonis amurensis. The content of the total carotenoid of the carotenoid compound is higher than 95%. The content of all-trans (3S, 3?S)-carotenoid is higher than 80%. The carotenoid crystals have a high purity, and can be used in multiple forms in the fields of a dietary supplement of a human being, a food additive, a feed additive and a cosmetic product. In addition, the present invention also provides a method for manufacturing the compound.