What is the environmental performance of the intelligent logging machine? Does it meet the requirements of the 'dual carbon' target?

Intelligent logging machines achieve green transformation through four major paths:

Electrification replacement:

Lithium battery driven equipment (such as LiuGong electric logging machine) can work continuously for 6 hours after 1 hour of charging, reducing carbon emissions by 40% compared to fuel powered models, and reducing operating noise from 110 decibels to 75 decibels, reducing interference with wildlife.

In the pilot project of hydrogen fuel cell technology, single refueling can last for up to 8 hours, meeting the requirements of all-weather operations.

Waste recycling:

The integrated crushing device converts branches and bark into sawdust on site (collection rate ≥ 95%) for biomass power generation or organic fertilizer production. For example, a forest farm in Finland reduced outdoor burning pollution by 2000 tons of carbon dioxide annually through this technology.

Precise homework carbon reduction:

AI optimizes cutting and transportation routes, reducing energy consumption per cubic meter of wood by 18% (according to data from the Chinese Academy of Forestry), indirectly reducing the ecological damage caused by forest logging.

Carbon trading appreciation:

The device is equipped with a blockchain module that records the logging time, location, and carbon reduction data of each tree, generating tradable carbon credit vouchers. A forest farm in Sichuan has achieved an annual carbon reduction of 5000 tons through intelligent logging optimization, and an additional income of 200000 yuan through carbon trading.

Policy support: The National Forestry and Grassland Administration has clarified that by 2025, it will provide a 30% subsidy to enterprises that purchase electric forestry machinery, promoting a low-carbon rate of over 60% in the industry.