Rural residential construction is faced with the contradiction between improving living environment and reducing building carbon emissions. In order to avoid the environmental pollution caused by the high-carbon development of rural residential buildings, blockchain technology as a green and low-carbon-oriented rural residential construction technology is introduced. Based on infrastructure, technology, function, application and goal, the feasibility of applying blockchain technology is analyzed to the design of rural residential buildings and the conception of application technology framework is put forward. Five typical sample farmhouses located in different areas are selected, and the carbon emission calculation model is used to calculate the carbon dioxide emissions of typical farmhouses in the whole life cycle. The carbon emission characteristics of farmhouses with different building materials, energy structures and living habits are analysed, and the carbon emission laws of farmhouses in the whole life cycle are analysed. The results show that: (1) Rural residential projects are mostly located in economically underdeveloped areas, which often lack digital infrastructure, human resources, and economic interests, which are not conducive to the popularisation and application of blockchain technology. (2) The carbon emissions of rural residences account for the highest proportion in the whole life cycle of rural residences (59.62%-95.69%). (3) Green and low-carbon building technology should not only reduce the environmental problems caused by greenhouse gas emissions, but also meet the daily needs of farmers and improve the comfort of the indoor environment. The purpose of this study is to inject the concept of green low carbon into the intelligent design of rural residential environment and build an intelligent system of green livable rural house construction technology method and construction technology system by combining blockchain technology, which can improve farmers' living quality and living environment while reducing carbon emissions.

The application of wireless sensor network (WSN) technology promotes the modernization of forestry. WSN application technology in forest areas is an important research topic for the sustainable development of forestry in China and is also a research hotspot for forestry ecological monitoring at present. The application of wireless sensor networks in forest areas, first of all, solves the problem of limited energy supply and low-latency data transmission in the forest environment. Due to the large area of the forest environment and uneven tree density, dynamic changes in forest height, easy to block the signal, and other characteristics, the forest environment is prone to node energy depletion fast, the network life cycle is short, and data transmission delays large dilemma. Second, the application of wireless sensor networks is usually centered on maximum data acquisition, but the contradiction between high data acquisition rate and limited energy supply is inevitable, so it is necessary to construct a maximum data acquisition rate model with limited energy supply as a constraint to guarantee the optimal acquisition conditions for wireless sensor networks. In this paper, from the application of wireless sensor network technology in forest environment, the research on the application of wireless sensor network in forestry is carried out around the analysis of energy self-collection permanent function of sensor nodes, sensor node transmission routing strategy, data collection, fusion, and fuzzy inference decision-making fire danger warning process, so as to provide a solution to the overall problem of forest fire warning based on rechargeable wireless sensor network. In this paper, we analyze the dynamic replenishment of energy in rechargeable wireless sensor networks and propose an energy-based transmission control protocol that effectively improves data transmission efficiency. In the rechargeable wireless sensor network, the network E2E (end-to-end) average delay time is calculated based on the number of nodes on the data transmission link. The research idea of this paper starts from the application technology of wireless sensor network in the forest environment, and the design of the energy self-collection permanent function of sensor nodes, sensor node transmission routing strategy, data collection, fusion, and fuzzy inference decision fire danger warning process are realized vertically.