Dataset for IoT-Enabled Smart Manufacturing for Energy and Resource Optimization Simulation in Schilab

This dataset supports the study "A Framework for IoT-Enabled Smart Manufacturing for Energy and Resource Optimization" by Alex Bazigu and Johnson Mwebaze, submitted to the RIO Journal. The original study used MATLAB Simulink to simulate an IoT-enabled smart manufacturing system, achieving an 18% energy reduction. This replication uses Scilab (version 2025.0.0), an open-source numerical computation software, to enhance accessibility in resource-constrained environments, achieving an average energy reduction of 17.87%, closely aligning with the original result. Contents Scilab Script: iot_simulation.sce – Simulates the IoT system over 1000 time steps, monitoring energy, temperature, pressure, fire signals, and production efficiency. CSV Outputs: Sensor data and control results at each timestep: energy_data.csv, temperature_data.csv, pressure_data.csv, fire_data.csv, raw_material_usage.csv, production_efficiency.csv, fan_status.csv, pressure_control.csv, energy_saving.csv, sprinkler_status.csv Plot: simulation_results.png – Visualizing five aspects of the simulation (temperature, pressure, energy, fire signals, production efficiency). Usage Instructions: Install Scilab (version 2025.0.0 or later) from https://www.scilab.org/. Download iot_simulation.sce and place it in a working directory. Open Scilab, set the working directory to the location of iot_simulation.sce, and run the script using "exec('iot_simulation.sce')" The script generates CSV files and a plot (simulation_results.png) in the working directory, replicating the simulation with an average energy reduction of 17.87%. License: The software code (iot_simulation.sce) is licensed under the MIT License. See the GitHub repository:https://github.com/EngBalex/A-Framework-for-IoT-Enabled-Smart-Manufacturing-for-Energy-and-Resource-Optimization-Schilab The dataset and documentation (CSV files, README text, simulation plot) are licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) Citation: Bazigu, A. (2025). Dataset for IoT-Enabled Smart Manufacturing for Energy and Resource Optimization Simulation in Schilab (v1.0) [Data set and software]. Zenodo. https://doi.org/10.5281/zenodo.14923407本数据集支持Alex Bazigu与Johnson Mwebaze提交至RIO期刊的研究《面向能源与资源优化的物联网赋能智能制造框架》（A Framework for IoT-Enabled Smart Manufacturing for Energy and Resource Optimization）。原研究采用MATLAB Simulink模拟物联网赋能的智能制造系统，实现了18%的能耗降低。本复现版本使用开源数值计算软件Scilab（2025.0.0版本），以提升资源受限环境下的可及性，最终实现平均17.87%的能耗降低，与原研究结果高度吻合。 数据集内容 Scilab脚本：iot_simulation.sce——模拟物联网系统运行1000个时间步，实时监测能耗、温度、压力、火灾信号与生产效率。 CSV输出文件：各时间步的传感器数据与控制结果，包含：energy_data.csv、temperature_data.csv、pressure_data.csv、fire_data.csv、raw_material_usage.csv、production_efficiency.csv、fan_status.csv、pressure_control.csv、energy_saving.csv、sprinkler_status.csv 可视化图表：simulation_results.png——可视化展示模拟的五大维度：温度、压力、能耗、火灾信号与生产效率。 使用说明 1. 从https://www.scilab.org/ 下载并安装Scilab（2025.0.0或更高版本）。 2. 下载iot_simulation.sce并将其放置于工作目录中。 3. 打开Scilab，将工作目录切换至iot_simulation.sce所在路径，通过命令exec('iot_simulation.sce')运行脚本。 脚本将在工作目录中生成CSV文件与可视化图表simulation_results.png，复现该模拟并实现平均17.87%的能耗降低。 授权协议 - 软件代码（iot_simulation.sce）采用MIT许可证，详见GitHub仓库：https://github.com/EngBalex/A-Framework-for-IoT-Enabled-Smart-Manufacturing-for-Energy-and-Resource-Optimization-Schilab - 数据集与文档（CSV文件、README文本、模拟图表）采用知识共享署名4.0国际许可协议（Creative Commons Attribution 4.0 International，CC BY 4.0）。 引用方式 Bazigu, A. (2025). 面向能源与资源优化的物联网赋能智能制造Scilab模拟数据集（v1.0）[数据集与软件]. Zenodo. https://doi.org/10.5281/zenodo.14923407