Figure 1 Main interface
‘indicator light’, ‘route selection’, ‘pass and no pass’, ‘stop’. All of these are expressed by business methods, and there is no need to write MIP mathematical equations manually. Business model and mathematical matrix construction technology GROMS includes functions such as model building and management, matrix generation and solution, model debugging and result browsing. It also offers customised report/chart output, configuration tools and system man - agement. By adopting advanced technology, it offers a general planning optimisation modelling system based on business rules, with the following characteristics: • Business-based modelling: Users can establish mod- els according to business relationships, making it easier for them to build a new model. The resulting model is the standardised expression of business, so it has good reada- bility. At the same time, there is no need to manually write objective functions, variable codes, and constraint equa- tions. Users can directly establish ‘multi-period, multi-en- terprise, multi-business and multi-objective’ models. The model’s ‘all logistics, weight, volumetric properties, density, and more’ is automatically transferred, and there is no need for manual transfer. GROMS adopts a database storage model, and there is no theoretical limit on the size of the model. • MIN3LP algorithm technology: The system can automat- ically transfer physical properties through the entire pro- cess and generate recursive initial values for the nonlinear pooling of the flow (with physical properties). The nonlinear distributed recursive algorithm is used to solve the problem, and the recursive convergence accuracy reaches 1.0e -6 . The GROMS-MIN3LP algorithm can usually obtain a
global optimal solution when solving the MIN3LP model. It effectively avoids the problem of ‘local optimal solution’ when the MIN2LP algorithm solves the MIN3LP model and addresses the problems associated with the MIN2LP algorithm. • Matrix generation, calculation, and customise report technology: The core algorithm of GROMS is based on highly readable business models, which can directly and automatically generate standard mathematical matrix MPS files, output the results to the database system after itera - tive calculation, and provide functions such as synchronous browsing, querying, debugging, and customising reports of models and results. The user does not need to be associated with a mathe- matical matrix because the size of the MPS is not limited. Since the actual model size is limited, GROMS sets the upper limit of the MPS matrix rows and columns, both of which are 99999999. The result output provides details of the entire logistics, physical properties, and transmission process. Users can export the results to Excel and other software. They can also customise functions such as static reports and process flow charts. Models, debugging information, and solution results can be displayed simultaneously. • Debug step-by-step: The complete refinery model usually includes constraint groups, such as material flow, MIP, den - sity (specific gravity), weight physical properties like sulphur, and volume physical properties like research octane number (RON). It also encompasses operating conditions, mixing and separating in pipelines, as well as conversion between properties and material flows. Additionally, it includes ‘DB structure, physical properties recursion, and piecewise lin- ear’ calculation. GROMS supports step-by-step debugging
88
PTQ Q2 2025
www.digitalrefining.com
Powered by FlippingBook