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  • 拼搏 創(chuàng)新
  • 誠(chéng)信 責(zé)任
  • 堅(jiān)持 互助

Solutions

Gas supply scheme for large scale pipeline gas customers

Stable supply services

  • Highly reliable long-term relationships, creating high cooperative value for customers

  • Professional on-site operation and maintenance management team to provide a full range of solutions required by customers

  • Advanced on-site (DCS) and remote monitoring system (ALITA), expert work instructions conveyed to the site at all times

Wide range of application services

Large pipeline customers are usually chemical, metallurgical, non-ferrous and other industries, with large gas consumption, regular fluctuations in the curve of single-point gas consumption, and many pressure levels of gas consumption and the requirement of smooth and so on, such customers HIGHGOLD GOLDEN VALLEY usually builds a large-scale air separation plant to meet the demand for gas supply in the customer's factory area or near the customer's factory area.



Scientific system design

The gas supply system for large pipeline customers usually consists of air separation device, backup storage system, product gas compression system, gas caching system, product gas pressure regulating system, etc. Through the operation synergy between the systems, it ensures the safety and stability of the gas supply, and the technical team of Haig Jingu has rich practical experience from the project project, layout, safety demonstration, process design, equipment selection, project construction, operation and operation. HGGV technical team has rich experience in the field, and has implemented many gas plants supplied by large-scale pipeline customers (smelting, coal chemical industry).HGGV utilizes industrial Internet of Things (IoT) technology to build ALITA gas housekeeping operation system, which realizes high economic and reliable operation of on-site gas supply system.ALITA gas housekeeping operation system has the following advantages:

1. The gas housekeeper system collects multi-platform/multi-protocol data, which is stored in the cloud through 4G/5G/broadband/fiber optic, and the cloud database adopts advanced compression algorithms.

2. Gas housekeeping system IoT edge computing module, to achieve data cleaning and organizing in advance, disconnected from the network to provide high-quality industrial data sources.

3. Failure prediction system realizes critical equipment failure warning through AI machine learning algorithms, and carries out intelligent lifecycle management of equipment.

4. Fault prediction system through the AI deep learning neural network to control the process of early warning combined with APC technology to achieve AI-based automatic control of process flow.

5. The simulation training system realizes the data modeling of the whole process, the start/stop of the process, and the digital all-weather training of various kinds of fault handling operations.

  • Planning of work assignments

  • Operational process proceduralization

  • Remote production site

  • Intelligent data analysis

  • Intelligent Algorithm Modeling

  • Graphical representation of key parameters