The SiMAP system consists of a measurement and control system that is installed in the property to produce data on the functions and condition of the property and manage the building’s services cost-effectively. Data can be produced for automatic control, monitoring and alarm systems and for anyone interested in the condition and functioning of the property. The goal is to optimise the functions as much as possible and to generate data about anomalies for maintenance purposes. With comprehensive data, the property can be maintained and developed in the desired manner.

Product cards

SiMAP® Base station router, click here. 

SiMAP® wireless sensor for  measuring indoor humidity, temperature and atmospheric pressure, click here.

SiMAP® wireless sensor for measuring indoor carbon dioxide, temperature and relative humidity, click here.

Toward more efficient building technology with the SiMAP system.

Permanent measurement

The SiMAP measurement system is implemented by installing the desired type of wireless battery-operated sensors in each monitored area (e.g. apartment or work space). It provides a comprehensive overview of the property’s conditions. Room sensors are used to measure the following indoor qualities:

• temperature
• relative humidity
• carbon dioxide levels
• pressure differences between rooms in the building. SiMAP is the only system which can be used to implement comprehensive and continuous monitoring of pressure differences in all of the rooms of a building.
The measurement of apartment-specific water consumption can also be incorporated into the system by using a separate sensor. All sensors use the same radio network, so adding measurement points is easy and affordable.
The sensors collect data by room.
The SiMAP centre receives the data and sends it to the cloud service.
The measurement data can be monitored using an Internet browser. The data is stored in the cloud service and can be imported to the client’s property management software.

Pressure difference measurement

Correctly adjusted ventilation is important for a property’s energy-efficiency, healthy living conditions and maintenance. Si-Tecno Oy was the first in the world to introduce a wireless measurement system that continuously measures the balance of a building’s ventilation system. The SiMAP® system can also be easily installed in existing buildings.

From radio network to cloud service

The installation of the wireless sensors is quick, takes only a few minutes and no drilling is required. The wireless sensors are battery-operated with a battery life of several years. In order for the measurement network to work, a SiMAP base station is needed for data transfer. The sensors send the measurement data to the base station, which then forwards it to the cloud service. Bridges to customer systems can be built from the cloud service. The measurement data can be easily monitored at all times and the data is stored all the way from the start date in the cloud service. The solution can be supplemented with a SiMAP adjustment centre, which allows the measured data to be utilised in the optimal adjustment of the property’s heating.

Temporary measurement

The SiMAP measurement case is an easy-to-use tool for short-term measurement of a property. The wireless sensors can quickly help identify problem spots in heating, relative humidity and air quality. The measurement data stored in the cloud service can be monitored in real time, which means that identified problem areas can be addressed quickly.

The necessary sensors can be selected for the measurement case, for example:

temperature (indoor air, outdoor air, pipe surface, etc.)
relative humidity (indoor air, property structures)
carbon dioxide level (indoor air)
pressure difference (between rooms)
etc.

 

The measurement data can be monitored using an Internet browser. The data is stored in the cloud service and can be imported to the client’s property management software.

SiMAP was the first five years ago to introduce a temperature control system that is based on temperatures measured from all apartments instead of indirect measurement based on outdoor temperatures. This method achieves very even indoor temperatures and effectively utilises waste heat. The average energy savings in SiMAP properties are 10%, with the typical range varying between 5-15%.

In addition, with the latest features weather forecasts and energy price fluctuations can be taken into account to optimise heating.

 

In addition to the heating network, apartments are warmed by the residents’ body heat, hot water, home appliances and sunlight. If one of these is not taken into account in heating, the temperatures in the apartments will vary. The only way to take all these factors into account is to measure the temperatures in all homes. Healthy and comfortable living is achieved by avoiding under or over-heating, and energy conservation is achieved by avoiding excessive heating.

SiMAP Adjustment measures all the apartments and controls the heating in a manner that keeps the average temperature of the apartments stable. When adjusting based on indoor temperature, you do not need adjustment curves that are susceptible to errors. If additional heat is generated from other heat sources, the system automatically reduces the heating output. Stable temperatures always improve living comfort.

The achieved energy savings depend on the situation of the building before the system. In cold buildings, usually only an improvement in living comfort is achieved. However, buildings are often over-heated. In such instances, SiMAP Adjustment may generate significant energy savings.

Maintaining a stable average temperature allows a lower target temperature to be applied without reducing living comfort.

Data collection and storage has been a cornerstone of the SiMAP system from the start. The system has been designed to be controlled remotely using modern cloud services. Once the SiMAP cloud service is in use, all data is saved continuously and permanently for later use.

The measurement data in the cloud can be monitored using an Internet browser. The measurement data can also be imported from the cloud into the client’s own property management software. When data is stored for the long-term, it can be analysed and a transition can be made from the current “find & fix” model to learning and predictive maintenance.

Stricter energy-efficiency requirements also require properties to be managed better. Managing large numbers of properties intelligently is impossible without modern remote management functionalities.