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Beijing Dongfang Dingchen Technology Co., Ltd
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Beijing Dongfang Dingchen Technology Co., Ltd

  • E-mail

    lijf@dingchen.com

  • Phone

    13450825274

  • Address

    Room 405B, Building E, Yingchuang Power Building, No.1 Shangdi East Road, Haidian District, Beijing

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Digital Factory Solutions for the Chemical Industry

NegotiableUpdate on 02/06
Model
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Producers
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Place of Origin
Overview
Based on the characteristics, process flow, and business management needs of the chemical industry, we aim to create a comprehensive perception of enterprise data, establish a unified data base for the enterprise, and strengthen the data foundation; Taking enterprise production control, safety and environmental management, warehousing management, energy consumption control, quality management, equipment management and other business management as the entry point, we deeply understand the core demands of various functional departments and production departments in various business aspects of the enterprise, build a digital factory driven by data, empowered by technology, refined management, and scientific decision-making, form a comprehensive data collection and integrated control mode for the entire process of business, and achieve the development requirements of high-quality, high-efficiency, and high safety for chemical enterprises
Product Details

Plan Overview:

Based on the characteristics, process flow, and business management needs of the chemical industry, we aim to create a comprehensive perception of enterprise data, establish a unified data base for the enterprise, and strengthen the data foundation; Taking enterprise production control, safety and environmental management, warehouse management, energy consumption control, quality management, equipment management and other business management as the entry point, we deeply understand the core demands of various functional departments and production departments in various business aspects of the enterprise, build a digital factory driven by data, empowered by technology, refined management, and scientific decision-making, form a comprehensive data collection and full process business integration control mode, achieve the development requirements of high-quality, high-efficiency, and high safety in chemical enterprises, and achieve the effects of efficient management process, automated data analysis, improved product quality, enhanced safety control capability, and reduced operating costs. The construction content mainly includes: industrial data collection, industrial data platform, safety and environmental managementQuality management, laboratory managementEquipment management, energy management, planning management, scheduling management, alarm management, operation monitoring, material balance, data analysis (digital twin, leadership cockpit, big data analysis).


Application architecture diagram:

The cloud, edge and end architecture based on the industrial Internet platform is adopted to build intelligent perception, edge computing, infrastructure, DaaS platformPaaS platformThe 7-layer architecture model of SaaS platform and display layer;Covering business domains such as digitalization of production processes, production execution and intelligent scheduling, laboratory management, quality management, energy management, equipment management, safety and environmental protection management, we aim to create a comprehensive control platform that integrates data collection, data management, data application, and data analysis. The reference architecture is shown in the figure.



Construction effectiveness:

The construction of a digital factory will bring significant efficiency improvements in data acquisition, collaborative optimization, and decision analysis, supporting business collaboration and management between different businesses, departments, and levels, and providing a new intelligent experience for decision-makers, managers, and operators. The establishment of a digital factory will help empower enterprises at different levels to reduce efficiency, lower overall operating costs, and improve overall work efficiency.