## 3 Methodology  
The research focuses on the thermal and mechanical properties of coolboxes used in cold chain transportation. The target of the research was to analyze the real possibilities of using coolboxes in the transport chain and analyze the problems that appear in real cases. The research helps to deal with the process of using these insulated containers (cooling, cleaning, transport, unpacking, etc.). The properties of the coolboxes used in research:  
* Outer dim. in mm (L \(\times\) D \(\times\) H): \(800\times 1000\times 1900\) mm
* Inner dim. in mm (L \(\times\) D \(\times\) H): \(610\times 820\times 1535\) mm
* Inner volume: \(768\) L
* K value: \(0.33\) W/m\({}^{2}\)\(\cdot\)K
* Unloaded weight: \(130\) kg
* Insulating material: Polyurethane foam
* Wall material: Food grade polyethylene  
The coolboxes are reusable, washable, and efficient. Insulated containers combined with cold accumulators or eutectic plates (a self-contained passive cold source) enable you to maintain the temperature of products for 24 h or more, thereby preserving the quality of your products right to their place of consumption. ATP-certified, the insulated container allows travel more than 80 km while carrying out load breaks. The developed system allows for the monitoring of temperature and other environmental conditions, and it records measurements internally. Data from the measurement devices are retrieved when they come within the range of the gateway receivers and are then transmitted to the cloud. The Hive Web system enables data viewing, while analytical tools like Tableau can be used to prepare substantive reports highlighting disturbances that affect the effectiveness and efficiency of the processes. Operation of the system:  
1. Measurement and data collection: Sensors placed inside containers regularly measure and collect data regarding temperature and other environmental conditions;
2. Data transmission to the Gateway: When the measurement devices are within the range of gateway receivers, they transmit the gathered data to these receivers. These receivers are part of the SKK Gateway system;
3. Data transmission to the cloud: Data received by the gateway receivers are sent to the cloud, enabling storage and further analysis;Data viewing via Hive Web: System users can use the Hive Web interface to view the collected data. They can monitor current conditions and measurement history;
5. Generating reports using analytical tools: Data stored in the cloud can be processed and analyzed using analytical tools such as Tableau. This allows for report generation and analysis of the effects of any disruptions impacting storage and transportation processes. The structure of system components is presented in Figure 1 and described in detail in Appendix A. Collected data set:  
1. Temperature: For monitoring temperature, the system gathers data from sensors placed inside containers. These data are crucial for monitoring and controlling the storage conditions of temperature-sensitive goods;
2. Other environmental conditions: In addition to temperature, the system can collect data related to other conditions, such as humidity, light levels, vibrations, etc. This information may be relevant depending on the type of goods stored in the containers. This system enables continuous monitoring and analysis of environmental conditions, which can contribute to better control of storage and transportation processes and provide real-time responses to potential issues. The research was conducted in the following stages and is presented in Figure 2:  
* STATGE I--A monitoring technology for storage and transportation conditions of goods based on the BLE (Bluetooth Low Energy) standard was developed--presented in Appendix A;
* STAGE II--A data acquisition system and data storage in the cloud (MS Azure) were developed;
* STAGE III--Disturbances in the process affecting the quality of implemented processes were analyzed using Tableau dashboards.