13 results about "Big data cloud computing" patented technology

The invention discloses an urban underground space comprehensive digital management system which comprises a digital management system body, and the digital management system body comprises a project application scene platform, a construction content platform, a project technical architecture platform and a technical route platform. The project application scene platform is based on urban underground space comprehensive digital management construction requirements, and the project is fused with an urban underground space business application scene through IOT, AI, big data, cloud computing, digital twinning, XR, GIS and BIM information technologies; according to the invention, IOT, AI, big data, cloud computing, digital twinning, XR, GIS and BIM information technologies are fused with an urban underground space business application scene, a digital twinning basic environment is established, a facility operation and maintenance platform, AI safety management and control, XR practical training simulation and a digital cockpit module are researched, developed and applied, and a virtuality and reality combined urban underground space full-scene digital operation and maintenance management platform is built. And the personnel safety guarantee service of people is met.

This invention discloses an intelligent analysis and decision-making system for agricultural finance using big data and cloud computing, belonging to the interdisciplinary field of agricultural finance and big data / cloud computing. The system includes a data acquisition module, a data preprocessing module, a cloud computing processing module, an intelligent analysis module, a decision generation module, a data storage module, a feedback optimization module, and an interactive display module. These modules work together to form a closed-loop process. The data acquisition module collects multi-dimensional data from the entire agricultural industry chain; the data preprocessing module constructs standardized datasets; the cloud computing processing module achieves efficient processing of massive amounts of data; the intelligent analysis module uses proprietary deep learning algorithms for multi-dimensional analysis; the decision generation module generates personalized decision-making solutions; and the feedback optimization module achieves adaptive optimization of the model and rules. This invention offers comprehensive data coverage, high processing efficiency, high analytical accuracy, and intelligent decision-making, overcoming the shortcomings of existing technologies and can be widely applied to various agricultural finance scenarios.

A closed-loop joint design method for power batteries and their battery management systems is proposed. This method utilizes big data cloud computing and combines digital modeling and parameter joint evaluation and updating to achieve a high-quality closed-loop optimization design that organically integrates power battery design and battery management system design. Through a "know-before-building" approach, a battery with "know-before-testing" capabilities is ultimately obtained. A complete parameter set for the battery to be designed is formed by combining big data cloud computing and battery design parameters. Simulation experiments are then conducted to obtain matching battery characteristic responses, which are used for modeling and developing management algorithms for the battery management system. This results in the manufacture of a digital battery with optimal performance and management indicators, which is then materialized to design a high-performance, well-managed "new battery," achieving the goal of "building for use."

The present application relates to the technical field of heat supply system equipment verification, in particular to a flow meter group online verification and heat correction method based on normalization principle. The present application aims at the problem in the prior art that flow meter group measurement data is not closed, only single equipment can be calibrated on site, and heat supply system cannot stop running for checking the performance of flow sensor, so that the flow sensor working condition cannot be verified without stopping heat supply. The present application provides a flow meter group online verification and heat correction method based on normalization principle, uses internet and big data cloud computing technology to analyze flow meter group, determines normalization coefficient, and unifies group flow sensor measurement data to total heat source flow as a reference flow. Through the calculation method of flow ratio change rate, the judgment basis of online verification is determined, and cloud diagnosis of flow sensor working condition without stopping heat supply is realized and the fault position is determined.

The invention discloses a supply chain finance digital processing system and method, and belongs to the technical field of digital processing, and the system comprises a data collection module, a data processing module, a risk assessment module, a financing matching module, and an execution and monitoring module. According to the method, quantifiable enterprise digital level evaluation indexes are constructed through word frequency statistics and logarithmic processing, and a data basis is provided for subsequent analysis; a fixed effect regression model is adopted, the influence of digital transformation on the financial level of the supply chain is scientifically analyzed, and empirical support is provided for enterprise decision making; dimensional regression analysis is carried out on digital technology dimensions such as artificial intelligence, big data, cloud computing and block chains, specific influences of all technology paths on supply chain finance are identified, and accurate investment of enterprises is assisted. The enterprise credit risk is dynamically evaluated based on real-time data and model output, and conversion from static evaluation to dynamic monitoring is realized.

The invention provides a zoonosis risk prediction method coupling climatic factor time sequence characteristics and land utilization space landscape characteristics under the background of climate and land utilization change, and relates to the technical field of zoonosis space epidemiology. According to the method, land utilization types such as buildings, roads, greenbelts and water bodies are identified through high-resolution remote sensing, landscape features are constructed, weather time sequences such as air temperature, rainfall and humidity are obtained by combining a geographic space big data cloud computing platform, and climate features are extracted by adopting a long-short-term memory network; and meanwhile, spatial population distribution characteristics are formed by utilizing the population data set. And based on the multi-source spatial-temporal characteristics, constructing a multilayer perceptron to simulate and predict the propagation rate. A true propagation rate is calculated based on the case matrix and the susceptible-infected-restorer epidemiological model. And calculating a loss function of the predicted propagation rate and the real propagation rate to optimize deep learning network parameters, and realizing risk dynamic assessment of the coupling space-time propagation mechanism.

1. The name of the design product: hard disk GPU server. 2. The use of the design product: a front-mounted 2.5-inch hot-swap hard disk server, mainly used in big data, cloud computing, artificial intelligence, Internet of Things and other fields. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention relates to the technical field of communication engineering, in particular to a communication industry-oriented intelligent maintenance method for a line pipe network, which comprises the following steps of: constructing a line pipe network topology digital twinborn model by utilizing a computer visualization three-dimensional technology, three-dimensional GIS (Geographic Information System) combination, a big data cloud computing technology and a topology theory, acquiring basic data of the line pipe network, and establishing a communication network topology digital twinborn model; comprising planar graph data, equipment data, pipeline data and the like; secondly, constructing a topological digital twinborn model, abstracting physical entities of the line pipe network into topological space elements, establishing a connection relation matrix, and calculating topological characteristic values; an interactive system based on the augmented reality technology is constructed, and fusion of the virtual model and the real environment is achieved; topological distance measurement calculation is executed, and a comprehensive evaluation distance is generated in combination with the physical distance and the topological distance; carrying out line pipe network capacity evaluation and optimization, identifying bottleneck points and providing optimization suggestions; implementation of a mobile terminal and a PC terminal is supported, an equipment information change management mechanism is provided, and the precision and efficiency of line pipe network maintenance are improved.

1. The name of the design product: hard disk GPU server. 2. The use of the design product: a front-mounted 3.5-inch hot-swap hard disk server, mainly used in big data, cloud computing, artificial intelligence, Internet of Things and other fields. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

1. The name of the design product: hard disk server. 2. The use of the design product: a front-mounted 2.5-inch hot-swap hard disk server, mainly used in big data, cloud computing, artificial intelligence, Internet of Things and other fields. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The disclosure provides a multi-cluster load balancing method and device, electronic equipment and computer readable storage medium, relates to the technical field of computers, and can be applied to big data, cloud computing and intelligent supply chain. The method comprises the following steps: selecting one from a plurality of sub-clusters as a master cluster, collecting service endpoint information of the master cluster and the sub-clusters through the master cluster, and generating a cluster internal load balancing rule and a multi-cluster load balancing rule according to the service endpoint information, and forwarding data based on an extended Berkeley packet filter technology; and the embodiment of the disclosure can support multi-cluster services.

1. The name of the design product: hard disk server. 2. The use of the design product: a front-mounted 3.5-inch hot-swap hard disk server, mainly used in big data, cloud computing, artificial intelligence, Internet of Things and other fields. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application discloses a big data-based intelligent collection and detection method and system for urban water supply data, and a big data-based intelligent collection and detection system for urban water supply data, which comprises a city water supply main pipe, intelligent water meters, a city water supply big data cloud computing platform and water meter user terminals, the city water supply main pipe is used for comprehensive water supply of all users in the city, and the intelligent water meters are installed on the pipelines of all user nodes of the city water supply main pipe; the intelligent water meters comprise a water supply data acquisition module, a multi-mode satellite positioning module, a time sequence synchronization module and a data encryption module; in the application, the intelligent water meters are used for comprehensive acquisition of water supply data on all user branch pipes of the city water supply pipeline, and the acquisition position positioning data and time synchronization records are bound during the water supply data acquisition process, wherein the acquisition of the positioning data can be positioned through multiple satellite positioning modes, including GPS positioning, Beidou positioning and QZSS positioning, so that the accuracy and safety of the positioning data are ensured.