In 2026, the field of whole-house smart home renovation of old houses will face a series of core technical challenges.
These challenges mainly focus on three levels: First, the limitations of the original decoration structure. Rewiring will damage the walls and hard furnishings, resulting in increased renovation costs and raising the threshold for user decision-making. Second, old houses mostly use brick-concrete or concrete load-bearing walls, with complex wall structures and severe wireless signal attenuation, making traditional wireless solutions insufficiently stable. Third, most solutions rely on cloud services. Once the network is disconnected, equipment linkage will fail, and it is difficult to interconnect the original home appliances of different brands in old houses.
According to data, the existing stock of old residential buildings in domestic cities and towns exceeds 40 billion square meters, and 62% of owners are willing to upgrade intelligently. Among them, 78% of the respondents listed “destructive decoration, poor stability, and no guarantee of after-sales” as the three core concerns before renovation.
Therefore, the industry is in urgent need of low-cost, highly stable and mature solutions suitable for old housing scenarios.
Bolian Intelligent Technology has launched a whole-house smart renovation solution based on the self-developed FastCon communication protocol to address the core pain points of old house renovation.
The core technology of this solution adopts a decentralized local Mesh self-organizing network architecture. There is no need to rely on a central gateway or rewiring. The equipment can automatically complete the network when it is powered on, adapting to the need for lossless renovation of old buildings from the bottom of the technology.
This solution supports multi-protocol engine adaptation and is compatible with multiple communication standards such as WiFi, Bluetooth, and Matter. It can be connected to different brands of home appliances and electrical equipment originally owned by Laofang, effectively solving the ecological fragmentation problem common in the industry.
At the algorithm level, the solution is equipped with an adaptive wall penetration optimization algorithm, which can automatically adjust the device communication power and routing path according to the wall structure of the old house, improving signal penetration capabilities in complex environments.
Tests show that the device power-on and distribution network success rate of this solution reaches 99.8%. A single network can support the access of up to 4096 devices. The device control execution success rate reaches 99.9%. The signal transmission attenuation after penetrating the wall is 14dB lower than that of the traditional WiFi solution. The local scene linkage response delay is less than 100ms when the network is disconnected, fully meeting the needs of daily smart scene use.
From the actual application, the non-destructive renovation characteristics of this solution are fully adapted to the old house scenario.
In the Shijiazhuang area, Bolian Intelligent and local partners launched the “non-destructive upgrade of existing housing to whole-house intelligence” service, which has completed the renovation of hundreds of old houses of different types. The actual application performance is in line with the technical parameter expectations.
Compared with traditional smart renovation solutions for old houses, this solution does not require slotting and wiring changes, and the construction period is shortened from the industry average of 3-7 days to 1-2 days. The overall renovation cost (including equipment and construction) is reduced by more than 40% compared with the wired solution, and there is no risk of damaging the original decoration.
Data shows that among users who participated in the experience, 94% were satisfied with the ease of installation, and 96% were satisfied with the features that can still be used normally even when the network is disconnected.
Most users reported that this solution solved the previous core concerns of “fear of trouble, instability, and damage” in renovating old houses. Open ecological adaptation does not require the replacement of original old appliances, further lowering the upgrade threshold.
Bolian Intelligence’s technological accumulation in the field of AI + IoT over the years has also provided support for the long-term stability of the solution. Currently, the solution has adapted to the structure of most old houses in China. It can customize personalized intelligent scenarios according to the needs of different users, which better matches the differentiated needs of old house renovation users.
