A method, system, storage medium and terminal for industrial dynamic multi-dimensional energy consumption cost prediction
A forecasting method and multi-dimensional technology, applied in forecasting, energy industry, sustainable manufacturing/processing, etc., can solve problems such as unusable predictive analysis, correlation analysis, non-compliance with requirements, etc., to reduce energy consumption cost, data Analyze Accurate Effects
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Embodiment 1
[0045] This embodiment provides a method for forecasting industrial dynamic multi-dimensional energy consumption costs. This embodiment establishes an energy consumption cost analysis model with factors that affect energy consumption costs. These factors include ERP information system data, production execution system (MES) data and energy consumption. Consumption unit calculation data. Dynamic real-time online acquisition of real-time values of different factors and corresponding constraints, real-time calculation of the model's optimal solution (lowest cost solution), so as to obtain the real-time optimal energy cost solution. Specifically, such as figure 1 shown, including the following steps:
[0046] S1: Establish an energy cost analysis model: Obtain historical time series ERP order data, production data and unit energy consumption calculation data, and establish an energy cost target function.
[0047] Wherein, in the preferred solution of this embodiment, the ERP o...
Embodiment 2
[0082] This embodiment provides an industrial dynamic multi-dimensional energy consumption cost forecasting system. The inventive concept of this embodiment is similar to that of Embodiment 1, and an energy consumption cost analysis model is established with factors that affect energy consumption costs. These factors include ERP information system data, Manufacturing execution system (MES) data and energy consumption unit calculation data. Dynamic real-time online acquisition of real-time values of different factors and corresponding constraints, real-time calculation of the model's optimal solution (lowest cost solution), so as to obtain the real-time optimal energy cost solution. like figure 2 As shown, the system includes:
[0083] Energy consumption cost analysis model building module: used to obtain historical time series ERP order data, production data and unit energy consumption calculation data, and establish energy consumption cost target function;
[0084] ERP p...
Embodiment 3
[0088] Based on the realization of Embodiment 1, this embodiment also provides a storage medium on which computer instructions are stored, and when the computer instructions are run, the method for predicting an industrial dynamic multi-dimensional energy consumption cost described in Embodiment 1 is executed. step.
[0089] Based on this understanding, the technical solution of this embodiment is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium. Several instructions are included to make a computer device (which may be a personal computer, server, or network device, etc.) execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-OnlyMemory, ROM), random-access memory (RandomAccessMem...
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