Research On Energy Consumption Optimization Of Industrial Continuous Material Conveyor System Based On Internet Of Things

In coal mining production,the energy consumption of the conveyor system often accounts for a large proportion of the operating cost.The energy consumption optimization of the conveyor system can directly produce economic benefits.However,the traditional method based on standard engineering mechanics modeling has many limitations in actual complex production environment.With the increasing number of industrial Internet of things connections,people have high hopes for using the Internet of things to help industrial production and manufacturing achieve profitable energy conservation.However,there are many challenges in the process of practical attempt and application.Therefore,this paper focuses on optimizing the energy consumption of industrial conveyor system by Io T enabling.The paper mainly solves two problems:(1)data-driven steady-state system modeling and optimization;(2)How to achieve Io T enable and verify the effectiveness of the overall scheme in production and manufacturing.For the problem of data-driven steady-state system modeling and optimization,this paper regards the energy consumption optimization of conveyor system as the optimization problem of dynamic system,gives the definition and arrival conditions of steady-state,puts forward the basic steady-state model,divides the conveyor system into steady-state and steady-state transformation,and decouples the optimization problem of cascade conveyor belt.Robustness analysis and applicability analysis show that the stability of the basic model is consistent with the optimization goal of reducing energy consumption.For describing the power consumption relationship of conveyor system,this paper proposes to use data-driven black box model to replace the traditional display model,and gives the approximate solution method of black box model.In the numerical experiment part,we verify the effectiveness of the theoretical model,and also verify that the steady-state strategy is an effective approximation of the search strategy under infinite time step.For the problem of how to achieve Io T enable and verify the effectiveness of the overall scheme in production and manufacturing,this paper designs and develops the Internet of things system suitable for conveyor belt operation process based on SOA,expounds each key functional module,development and testing process in detail,and commercializes the conceptual scheme.Then in the production experiment,due to the fluctuation and non-repeatable characteristics of the actual production,a method of alternating switching speed regulation strategy is proposed to reduce the difference of the environment.Finally,we lay out the whole Internet of things scheme,and verified the reliability of the overall scheme and the effectiveness of the speed regulation algorithm,achieved an overall energy saving effect of 10.85%,and estimated that a single mine will generate a profit of 6 million yuan per year.The contributions of this paper are as follows: in theory,firstly,this paper combines data-driven modeling and traditional operations research modeling,adopts the idea of operations research modeling in the basic optimization model,and puts forward the optimization model based on steady-state.The idea of steady-state basic model is suitable for all dynamic systems that can capture the steady state;Secondly,when constructing the key power consumption function,the data-driven modeling is adopted,and the black box model represented by neural network is selected to replace the display model,which improves the performance effect and universality.In terms of application,firstly,based on the operation process of the conveyor system,this paper constructs a SOA to realize the Io T enabling which enables us to connect the theoretical design with the engineering implementation.This paper can be used as a supplement and reference for the application research and project landing of the Internet of things;Secondly,based on the fluctuation and non-repeatability of actual production,a method of alternating switching speed regulation strategy is proposed to reduce the uncertainty caused by the difference of production environment and enhance the reliability of production verification results.