Regulation OWENCLOUD

Weather control function

For several years now, many people have been worried about the organization of heating in our homes. Temperature differences in the off-season are especially sensitive, both in the direction of decreasing and increasing the temperature regime.

In addition, "temperature drops" in winter have become not uncommon, and the number of accidents at boiler houses has increased. In case of incorrect thermoregulation of premises, the main problems are 2:

    Lack of heat in apartments at the beginning and end of the heating season leads to cold houses, as a result of which the number of illnesses from hypothermia increases, especially children are often ill at this time. In addition, electricity consumption increases significantly due to the use of heating devices.
    Excessive heat during the operation of the system forces people to keep the windows open quite often, thereby "weathering" both their own money for heating payments and budgetary ones.

In this regard, the issue of weather-dependent heating control is very relevant. It is natural for a person to strive for comfort, and in our reality, also for economy. And the ability to adjust the "weather at home" without direct human intervention is quite a tangible plus.

How, for example, is weather-dependent control implemented in an individual heating station of a modern apartment building?

The control is carried out using certain software and hardware that implement a given algorithm for stabilizing temperatures in thermal circuits. & nbsp; This algorithm seems to be simple: when the outside temperature drops, the room temperature should rise, and vice versa. But this regulation has its own peculiarities. One of them is lag (inertia). Warm floors and walls do not cool quickly, cold - do not heat up. Sometimes the temperature change can take up to two hours.

The weather-dependent control system is designed to reduce the inertia time of the automation of the equipment of heat points. Parameters by which it is necessary to set the temperature stabilization algorithm: external temperature, temperature of flow and return water. Based on these values, a table of relationships is built, at which the setpoint values on the building circuits (hot water, heating, ventilation, etc.) change.

And here our main question arises - what is the price? Of course, if we talk about installing the system within the city, then the amount may seem quite large. However, all costs are quickly paid off by saving resources. For apartment buildings, installation at the entrance will be relevant: it is both easier and cheaper, while the payment structure will remain.

Now is the time to talk about individual housing.

In recent years, the number of cottages and townhouses has increased significantly. As a rule, autonomous heating in such houses. However, the problem of organizing heating is also relevant for them. Situations of uneven heating of rooms are possible: when it is stuffy in one room, and cold in another, especially for large rooms. Essentially, the same problems arise as in apartment buildings. & Nbsp; This suggests the conclusion that the weather-dependent control system is not just a nice bonus, but also an elementary necessity.

If we talk about a room with an area of up to 200 sq.m., then this system will still be most relevant in the framework of the "Smart Home" project. This type of automation is now actively developing and shows itself very well precisely for the sake of economy. Of course, at first, some cash investments are needed, but in the future, savings on heating alone will average up to 30%.

A variant of the solution can be the use of equipment "Aries", modern means of management, storage and recording of data "OvenCloud". Thus, it is possible to collect information from sites such as Gismeteo.ru, transfer the values of the predicted temperature values to the controller, which provides regulation. Taking into account the predicted temperature value, it is possible to calculate the correction factors for the control task. This will ensure shock-free, inertia-corrected temperature control in the circuits of the residential building. Temperature drops will cease to be perceptible, and so all of us will achieve the necessary comfort and coziness.

Two graphs (temperature values) of the current and forecast three hours ago are shown below. We take temperature data through the API function from the Gismeteo.ru website and can use this data, among other things, when calculating tables of set values (setpoints) to regulate the circuits of your building. There is a possibility of transmitting weather forecast data to equipment using OWENCLOUD technology. The difference between the expected and the current one is clearly visible. For example, we took the village of Alachkovo, Moscow region

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