The coal mining industry is a field full of dangers and complexity. It has the characteristics of large industrial scale, wide geographical distribution, and high safety requirements. In order to achieve intelligent early warning and prediction, coal mining enterprises have adopted modern technologies to improve safety and production. efficiency and management level. The intelligent AI video management system for coal mines can help companies better monitor the working environment of miners and alarm for abnormal situations, thereby improving safety and reducing accident risks. It has been widely used in coal mine projects.
Recently, Taosi Data's high-performance, distributed Internet of Things and industrial big data platform TDengine V3.0 version and Hengda Intelligent Control's coal mine intelligent AI video management system successfully completed mutual recognition of compatibility. After rigorous testing by both parties, the The system is fully compatible with TDengine V3.0, providing richer solutions for coal mining enterprises to further realize intelligent coal mine construction systems.
The coal mine intelligent AI video analysis and early warning system under Hengda Intelligent Control is an intelligent system based on AI intelligent hardware + 5G + big data platform. The system can intelligently analyze and provide early warning for violations or scenarios, and push early warning information to A large back-end platform to achieve rapid processing. With the help of this system, the whole process of intelligent operation can be realized without human operation. Hidden dangers can be discovered in time through multi-dimensional and multi-angle video recognition, analysis and statistics, ensuring the implementation of coal mine safety production systems, further improving coal mine safety production levels, and reducing coal mine safety accidents. , providing decision-making support for safe production.
Focusing on TDengine, it has been applied in the business of many coal mining enterprises in recent years. For example, Yuanzhi Information chose to use TDengine to support the collection, storage, calculation and monitoring functions of all process equipment in the mining and transportation scheduling link of the production interactive management and control system in the smart mine project. The query speed for vehicles and locations can be within milliseconds. level implementation; another example is that Shaanxi Coal uses TDengine to improve the problem of excessive database storage pressure in the mine-wide digital platform. The total amount of positioning data exceeds 1.1 billion. After data compression, the TDengine data directory occupies about 12GB of disk, and the overall compression rate can Reach 3/100.
This time, TDengine and Hengda Intelligent Control's coal mine intelligent AI video analysis and early warning system have completed product compatibility certification, providing a powerful combination of solutions for the construction of intelligent systems in the coal mining industry. I believe it will definitely help coal mining companies further improve production safety. reliability, productivity and data management capabilities.
About Hengda Intelligent Control
Over the years, Hengda Intelligent Control has been committed to deeply integrating high-tech and professional technologies such as 5G, AI, big data, Internet of Things, data mining analysis, and coal mine safety technology with the coal mining industry to create intelligent AI video management systems for coal mines, coal mine A series of products and solutions such as comprehensive management and control platform, coal mine comprehensive mining management and control platform, and mine pressure analysis system help coal mining enterprises to better meet business needs such as hidden danger identification, abnormal alarms, linkage control, and statistical analysis, and provide a safe production model for domestic coal mines. Transformation and upgrading have contributed their own strength.
About TDengine
The core of TDengine is a high-performance, clustered open source, cloud-native time series database ( Time Series Database , TSDB ). It is specially designed and optimized for scenarios such as the Internet of Things, Industrial Internet, electric power, and IT operation and maintenance, and has extremely strong elastic scalability. . At the same time, it also has built-in caching, streaming computing, data subscription and other system functions, which can greatly reduce the complexity of system design and reduce R&D and operating costs. It is a high-performance, distributed Internet of Things and industrial big data platform. . Currently, TDengine mainly provides two major versions, namely TDengine Enterprise that supports privatized deployment and TDengine Cloud, a fully managed Internet of Things and Industrial Internet cloud service platform. Both of them have more enhancements based on the functions of the open source time series database TDengine OSS. Users You can choose a version based on your business volume and needs.
To learn more about the specific details of TDengine Database , you can view the relevant source code on GitHub .