Building Management System (BMS) is widely adopted recently in commercial, industrial, and partially in residential buildings. BMS can achieve, efficiently, the basic required automation functions for Heating, Ventilation and Air Conditioning (HVAC). However, BMS is not designed to take advantage of data being generated continuously in the field level due to the limited hardware recourses, and therefore, HVAC operation is not optimized based on data analysis. To overcome this issue, an engineering guideline for an edge solution is explained and validated in this article. A high-level hardware, which is an Industrial Personal Computer (IPC), is suggested as an edge device for Heat Pump (HP) monitoring. As a first validation stage, instead of dealing with a real hardware, a Simulink-based model for water source Mayekawa CO2 HP is used, which is controlled and monitored by SIMATIC PLC-SIM Advanced as a virtual Programmable Logic Controller (PLC). Thanks to the proposed edge solution, the HP status data is being fetched from PLC in real-time, stored in a local time-series database and visualized via a web-based dashboard, which is accessible using any smart device. The time-series database will be later the stage for deep data analysis in order to optimize the operation of HP.