3 results about "Midstream" patented technology

The invention discloses an industrial power consumption intelligent prediction method and system based on an industrial chain portrait, and relates to the technical field of intelligent prediction, and the method comprises the steps: obtaining multi-source operation data covering an upstream raw material end, a midstream manufacturing end and a downstream application end of a target industrial enterprise, carrying out the arrangement and modeling of the data, and obtaining a model; forming an industrial chain portrait reflecting a node supply-demand relationship; based on the external factors, the enterprise position information, the productivity level and the energy consumption characteristics, fusing the industry chain portrait to obtain standardized portrait data; establishing an electricity consumption conduction relationship between the upstream and the midstream and between the midstream and the downstream, and generating a lag mapping function in combination with an inventory turnover period and an order production scheduling period; and constructing an electricity consumption prediction model, performing time sequence prediction and environment correction on the target enterprise, and generating comprehensive electricity consumption prediction information. According to the method, multi-dimensional energy consumption dynamic prediction of the glass industry chain can be realized, and the prediction precision and the energy management level are improved.

The application discloses an industrial electricity intelligent prediction method and system based on an industry chain portrait, relates to the technical field of intelligent prediction, and comprises the following steps: obtaining multi-source operation data covering an upstream raw material end, a midstream manufacturing end and a downstream application end of a target industrial enterprise, arranging and modeling the data, and forming an industry chain portrait reflecting node supply and demand relations; fusing the industry chain portrait based on external factors, enterprise location information, production capacity grades and energy consumption characteristics, and obtaining standardized portrait data; establishing electricity consumption transmission relations between the upstream and the midstream and between the midstream and the downstream, and generating a lag mapping function in combination with a stock turnover period and an order production cycle; constructing an electricity consumption prediction model, performing time series prediction and environment correction on the target enterprise, and generating comprehensive electricity consumption prediction information. The application can realize multi-dimensional energy consumption dynamic prediction of a glass industry chain, and improve prediction precision and energy management level.

This invention relates to the field of mine pollution management technology, specifically to an intelligent mine management system and method based on the Internet of Things (IoT). The system includes: a mine pollution data acquisition unit that uses mobile IoT sensors to collect real-time groundwater flow path data and pollutant concentration data; an event-driven pollution identification unit that identifies and analyzes dynamic evolution events of underground pollution in the mine based on the groundwater flow path data and pollutant concentration data; a pollution path evolution identification unit that constructs a groundwater pollution propagation evolution map covering the entire path, identifying and tracing upstream pollution source origins, downstream terminal pollution areas, and midstream potential pollution sources; and a pollution situation visualization unit that constructs a mine pollution risk level zoning map and displays it visually on terminal devices. This invention enables the identification and monitoring of post-rain pollution surge events and the traceability and management of potential pollution conditions in the upstream, midstream, and downstream of the entire mine geological structure.