contexts
In the 14th Five-Year Plan for the Development of the Digital Economy published in 2022, the government has been increasing policy support for the digital transformation of the manufacturing industry, and actively advocating the adoption of the latest technologies by manufacturing enterprises to enhance automation, digitization and intelligence. This initiative aims to strengthen international competitiveness and promote the transformation of the manufacturing industry from a large manufacturing country to a strong manufacturing country.
However, the process of digitalization and intelligent upgrading of manufacturing involves the following set of challenges and dilemmas:
To address these pain points and better realize the digital upgrade of the manufacturing industry, Grapevine's embedded BI toolWyn Business IntelligenceProvides a comprehensive solution designed to enhance an organization's data analysis capabilities and operational efficiency, the solution includes the following components:
- data access：
- Integrate hardware data from IoT via MQTT, websocket, http capture protocols;
- Supports multiple types of business system databases to integrate business data from production, supply chain, customers and sales;
- Connect to the processed data warehouse through the Web JSON interface for flexible access to business system data.
- Data preparation：
- Provides diverse modeling approaches, including direct-connect models, cross-source extraction models, and multiple dataset types (e.g., direct-connect, push, and streaming datasets);
- Supports configuration of row-level, column-level and document-level permissions based on user and organizational context to ensure data security;
- Rapidly transform raw business data into business models suitable for visual analysis and presentation through visual UI modeling.
- visualization：
- Building 3D models from industrial parks to automated production lines and integrating them into large visualization screens;
- Bind data to 3D models, real-time data presentation and production process simulation, combined with interactive statistical charts for in-depth analysis;
- Optimize production processes and improve efficiency by assisting decision-making through an intuitive visual interface.
- application layer (computing)：
- Provide self-service analytics big screens for all roles in the organization to unlock the value of business data;
- Realize real-time monitoring of key parameters such as production indicators, equipment status, etc., and can be alerted via WeChat, Nail, email, API, etc;
- Rapid deployment is achieved with a unified control center and TV big screen application that supports hundreds of big screen kanban boards, facilitating centralized, efficient management and maintenance of the digital shop floor.
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Wyn Business Intelligence focuses on promoting the digital upgrading of the manufacturing industry and providing in-depth support for the digital transformation of the manufacturing industry. From the seamless integration of IoT data to the establishment of visual real-time analysis, monitoring and early warning systems, as well as the 3D digital twin big screen, the rapid implementation of 100+ TV big screen kanban, comprehensively connecting production and manufacturing data, helping enterprises realize the transformation of digital factories and opening a new era of industrial intelligence. In Wyn Business Intelligence V8.0 Preview, the following four important updates are included:
1、Support MQTT and other collection protocols, through the Internet of Things data
Newly introduced "IoT data" type, support MQTT, Websocket and HTTP collection protocols, real-time reception of hardware data, monitoring equipment status, temperature, humidity and other production information.
2、New topology map and real-time data integration, remote monitoring and management equipment
New topology map, through the basic shape, SVG shape, folding line, text and other component elements to quickly draw industrial configuration, intuitively show the industrial site of the equipment layout, production line flow, etc., real-time binding equipment and other production data, to achieve the state of the equipment remote monitoring, early warning alarms, energy consumption management and other intelligent functions.
In addition, the topology map can also be integrated with the physical network data collected by MQTT protocol to monitor production data such as equipment temperature, output, pressure, status, etc., and real-time triggering of flashing, text discoloration, background color change, water flow discoloration, equipment discoloration, etc. for early warning.
3, a variety of 3D model animation, real-time data-driven simulation of industrial production
Wyn Business Intelligence provides an online 3D scene editor to import multiple 3D models of parks, production lines, and equipment to build a complete smart factory, and at the same time, it can bind production, equipment, warehousing, and other data from multiple businesses, which can open up the data veins from design to production, warehousing, sales, customers, and products, and allow for efficient collaboration in multiple processes, which can be divided into the following scenarios:
1) Simulate the production process by accessing the collected production data to drive the animation of equipment nodes on the 3D model in real time;
(2) By adding data layer animation to the workshop, monitoring workshop productivity to trigger the model node "change color", "zoom", "move", "Hide" multiple ways to intelligent warning;
(3) After embedded in the visualization screen, the production chart data can be viewed dynamically by clicking on the workshop on the model, and at the same time, the dimensions on the chart can be clicked on to dynamically switch the model viewpoint, two-way interactive analysis.
4. Composite maps integrate multi-dimensional data to enhance data insights
All-round composite map, set area, bubble, heat, flow, symbols, trajectory six types of map layers flexible integration of sales distribution, customer distribution, product unit price, store distribution and other dimensions of business data, in-depth insight into customer behavior, accurate pulse market trends. At the same time, you can dynamically control the display and concealment of layers through commands, and dynamically switch between them during the self-service analysis process.
Each layer can bind data independently to display different business metrics, while each layer can be independently customized with style, data labels, legend and other information.
The track map binds the GEO JSON route data of railroad transportation and draws the railroad transportation route, and at the same time, you can set up animation to simulate the transportation trajectory, and customize pictures to simulate high-speed railways, automobiles and other objects.
Latest technical resources (recommended favorites)
/wyn/demo/Wyn%20V8.0%
Extended Links:
[Wyn V8.0 New Feature Preview] Invitation to download, experience, and feedback with prizes!
Wyn V8.0 Preview Download Link
Wyn V8.0 Preview Demo Download Link