WiMi Hologram Cloud Inc (WIMI)

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WiMi Develops A Highly Concurrent IoT Platform Based on Realtime Visualization of Big Data.

Source
https://www.newstrail.com/wimi-develops-a-highly-concurrent-iot-platform-based-on-realtime-visualization-of-big-data/

February 1, 2023

With the development and advancement of AI and IoT technology, various fields such as cities, water, transportation, manufacturing, cars, health, and homes have been connected to IoT systems. Thanks to emerging applications such as voice recognition and image sensing, all aspects of cities can be improved through digital transformation, sustainability, resource management, quality of life, and security. Massive deployments of intelligent devices and sensors can sense, collect and process vast amounts of data. The advent of the Internet of Everything has generated massive amounts of data that needs to be collected, stored, displayed, and analyzed, posing new challenges to the data processing capabilities of IoT systems.

WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) develops a concurrent IoT platform based on real-time visualization of big data using IoT platform software and data visualization software to solve the application and challenges of IoT big data in the industry. WiMi’s IoT platform uses cloud processing to solve IoT data transmission, real-time sensing of massive information, processing capacity, and other technical issues. It supports the front-end of different application areas, multiple communication channels, and multiple communication protocols of large-scale sensing devices with high concurrency access, management, real-time, parallelized transmission and processing of massive collected information, and provides the standard format of high-quality data support for back-end business applications.

WiMi’s IoT platform has a built-in, easy-to-use but powerful logic editor that allows developers to edit complex control logic for their IoT systems. It enables data updates, device status queries, timed hardware system control, timed short messages, and complex system control based on various variables that trigger a complex control strategy. The platform is well adapted to the migration of software development platforms and changes in software architecture, making full use of existing resources, enabling developers to focus better on the business logic and improving development efficiency. WiMi has incorporated data reception, exception capture mechanisms, data filtering modules, device identification modules, data storage modules, and other functions into the platform’s design, enabling the receiving, filtering, and storing. This dramatically reduces the coupling between the business and data layers, improves the scalability and maintainability of the system, and increases the development efficiency of the system.

WiMi’s IoT platform uses powerful data modeling software to address massive data collection, storage, governance, analysis, and other capabilities. By collecting, storing, governing, and intelligently analyzing data, the platform combines data modeling software to provide users with the information they need to make better business or personal decisions and can indicate potential problem areas.

Based on data visualization technology, the platform helps companies to achieve intelligent management and operations and improve operational efficiency through data visualization displays that uncover the more profound value of data in its most intuitive form. Data visualization and analysis tools can be presented through images, tables, and other forms according to different scenarios and different needs of users. Even 3D visualization is used to realize the 3D virtual simulation of natural scenes to show more visualized data in a richer form, making the data more precise and flexible to reflect its value.

The Internet of Things generates a large amount of big data that can be used for real-time monitoring, analysis, process optimization, predictive maintenance, etc. WiMi’s IoT platform, based on real-time visualization of big data to solve the problems of device connectivity, data collection, data storage, data governance, data analysis, and data visualization in the application of IoT big data in the industry and to realize the IoT big data in the industry application logic. In the future, in the era of IoT and big data, the value of data is increasingly prominent, and in the face of data generated anytime and anywhere, enterprises need safer and faster ways to store and manage data.