T/KCH 002-2023 Technical specifications and evaluation methods for fully automated soil sample preparation equipment

Scope

Scope: This standard specifies the terms and definitions, abbreviations, structural components, technical requirements, evaluation methods, packaging, transportation, and storage of automatic soil sample preparation equipment. This standard applies to the design, production, and performance testing of soil and sediment soil sample automatic preparation instruments (hereinafter referred to as "equipment"). Main technical content: Soil is an important ecological component and an essential material basis for human survival and development. With the increase in population and rapid economic development, the situation of soil pollution in China has become increasingly serious and worrying. In 2016, the State Council issued and implemented the "Soil Pollution Prevention and Control Action Plan"; in 2018, the National People's Congress passed the "Soil Pollution Prevention and Control Law"; in the same year, two national standards were promulgated; and on February 22, 2022, the news of the Third National Soil Survey was officially announced in the Central Document No. 1. These all indicate that the Party Central Committee has elevated the ecological environment strategy of "green water and blue mountains" to a national strategy. Only by strengthening research and development of new technologies and equipment for soil environmental monitoring and prevention can we provide effective technical support for this "Battle to Protect Clean Soil". Soil ecological environmental monitoring is an important basis for understanding the basic situation of soil quality in China and formulating national macroeconomic policies and regulations. Therefore, it is urgent to promote the development of intelligent technology for soil environmental monitoring! Soil monitoring includes three stages: soil sample collection, preparation and transfer, and analysis. Among these, 60% of the cost, 70% of the time, and 80% of the errors come from the sampling and sample preparation stages. In the past, sa

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