Digital "smart factory" in the chemical industry-solutions (ppt editable)

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Overall architecture

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Design Concept—Data Integration and Flow

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One of the nine core values

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The second of the nine core values

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The third of the nine core values

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The fourth of the nine core values

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The fifth of the nine core values

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The sixth of the nine core values

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Seven of nine core values

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The eighth of the nine core values

Access to real-time data such as real-time monitoring video and safety parameters of enterprises with major hazard sources, realize dynamic supervision, automatic early warning and collect non-real-time data of enterprises, forming "one park, one file", "one person, one file", "one enterprise, one file", "One equipment, one file" improves the level of refined supervision.
Based on the digital twin of parks, enterprises, and devices, it realizes the visual management of monitoring and early warning to support key applications of enterprise intrinsic safety such as dynamic early warning, risk distribution, online inspection and supervision feedback, and safety commitment.

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Digital R&D

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digital simulation

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digital asset

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Digital Production - Business Architecture

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Digital Production - Material Balance

Establish a material balance model covering the production process of the entire plant, and realize the daily balance calculation of the entire plant through the material balance model. The results of the balance calculation are used as the basis for the calculation of various production statistical reports, as well as the calculation of indicators such as device input and output, product yield, device conversion rate, raw material unit consumption, device processing loss, and storage and transportation loss.
The system has a built-in powerful material balance calculation algorithm, provides graphical balance display tools, and supports material balance of single device, single material, multiple devices and the whole plant.

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Digital Equipment - Predictive Maintenance

Predictive maintenance is a method to analyze and evaluate the health status of equipment based on machine learning algorithms and models through periodic or continuous monitoring of equipment conditions, in order to predict when the next failure will occur and when maintenance should be performed.

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Digital energy - integration of management and control

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Digital Energy—Energy Management Platform

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Digital security environment - smart security

Integrated service, monitoring, early warning and governance to ensure the safe production of enterprises in an all-round way

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Digital safety and environment - dynamic monitoring and early warning of major hazards

The system combines the monitoring and early warning technology of the Internet of Things, through the cloud host of the Internet of Things deployed on the site, accesses various dynamic monitoring data and monitoring videos of the company's safety production, and is mainly used to monitor the storage facilities and production of hazardous chemicals that constitute major hazards in chemical companies. Device real-time data and early warning, flammable and toxic gas data and early warning, dangerous chemical process safety parameter monitoring and early warning, surveillance video and other information. Utilize the embedded video analysis technology and prediction and early warning model of the Internet of Things cloud host to timely know the safe operation status of various devices, equipment, and processes of the enterprise, and realize the dynamic safety supervision of the major hazard sources of the enterprise.

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Digital Emergency-Emergency Rescue

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Smart emergency response: mechanism, system, legal system + before, incident, during and after the incident = timely and effective

Digital Warehousing

Digital warehousing is a process management system for the refined operation of warehousing. Make the enterprise's warehouse management change from the traditional "result-oriented" to "process-oriented"; from "data entry" to "data collection", and compatible with the original "data entry" method; "Guided location pick-up".

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Origin blog.csdn.net/zuoan1993/article/details/130277319