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Höganäs AB has a customer center where they perform their cutomers production processes usingtheir own metal powder, thereby gaining knowledge of how the powder behaves and how it can be improved. The powder is usually pressed, and then sintered in a sintering furnace where temperature and atmosphere composition gives the component its desired characteristics. Höganäs AB didn’t save the parameters from these process’s in a easily accessible way, some values were not saved at all. To increase understanding of these parameters impact on the produced detail they wanted these parameters collected and stored in the cloud. They also wanted solution ideas and concepts for implementation of weight measuring on both the in- and output side of the furnace. This project used Ulrich & Eppinger’s product development method, modified by performing continous testing parallell to the design process. The project was also separated into three parts worked on simultaneously. Computer architecture, physical casing and weight measuring. To compile and upload to the cloud a Raspberry Pi 3 B+, a micro processor, was used. It connected via WiFi to upload files to OneDrive. The measured values from the furnace were gathered from the furnace’s PLC via OPCUA and a gas measuring unit via serial communication. Because of the use of metal powder there was conductive dust in the air which could lead to leakage currents and short circuiting if it were to gather on the processor unit. Hence the dust had to be keptaway. The casing was therefore designed to be relatively airtight. The casing was made with 3D-printed PETG. The seal utilized PETG’s elasticity to elastically deform an elevated seal, and thereby sealing the casing, without having to produce more components than a bottom and a lid. The cable feedthrough used the cables elastic deformation to seal. A screen was implemented to start and stop logging processes, which was also sealed using an overlapping lip around it’s rim. The logging of the furnace parameters was split in two logs, a day-log and a job-log. The daylog took measurements continously over a day in long intervals, 30 minutes. At the end of the day a log was uploaded for that day, hence the name. The job-log had to be started manually via the screen and was used to take measurements with higher frequency during a production series. Log files of both types were uploaded to a OneDrive folder. The product was tested with a number of final tests, both for the casing and the software. The casing was tested primarily for the numerical requirements set in the requirements specification. While the software was tested over a longer period of time to ensure functionality.The final product was a sealed, robust, easily disassembled and cable strain relieved 3D-printed box with a 3.5 inch touchscreen and a connected keyboard. It collected the desired data and compiled it to log files readable by programs such as Microsoft Excel. The weight measuring concept produced was a self-made solution with load cells under the loading ramp. The weight is then measured automatically during the regular loading process without disrupting it. Two backup solutions were also put forward.

With the constant growth of units connected to the internet, it’s becoming more and more common for private persons to get these units into their homes. With easier accessibility to smart units that can be connected straight to your smart home, and at the same time can make your everyday life easier, may also be the greatest securityrisk of your life. The focus of this essay is about the internet of things-units (IoT-units) that’s considered a large securityrisk. This work is made as a quantitative study about security deficiencies among private persons regarding IoT-units. The data produced from this work can be used as an answer of what a private person needs to be more vigilant of when it comes to IoT-units, and also what actions the manufacturing industry need to take for the connected community to be secured. To delve into this, we have chosen to use the methods literature study and a questionnaire study that will be performed to obtain data to answer our questions. Analysis has been made about what can be seen as an IoT-unit, what security deficiencies there are and then account for how to counteract these risks with help of knowledge. The result of the answers from the surveys and the picture we have received after a search for a sustainable and a more secure solution is that some knowledge exists, although not to the extent needed. The conclusion that can be drawn after the analysis of surveys and in the previous research how it should proceed in the current situation is that significantly more resources need to be spent on the right information for the right purpose, when it comes to this important IT-related issue.