Heilongjiang: Launching new scenes of "artificial intelligence +" for decision-making assistance.

date
15/02/2026
Heilongjiang issued the "Heilongjiang Province 'Artificial Intelligence +' Government Affairs Deepening Application Work Plan". The plan proposes to carry out new scenarios of "Artificial Intelligence +" to assist decision-making. In the agricultural service scenario: integrating agricultural rights, planting, and mapping information, linking meteorological, soil, and other data, constructing production capacity forecasting models, providing data support, early warning, and scenario deduction for agricultural capacity regulation, policy formulation, disaster prevention and mitigation, and food security guarantee work. Integrating data from the agricultural machinery production supply chain, constructing intelligent application analysis of the agricultural machinery equipment industry chain, analyzing and judging the weak links of the industry chain, and providing support for industry "strengthening, complementing, solidifying, and extending the chain". [Leading unit: Provincial Department of Agriculture and Rural Affairs, Provincial Bureau of Surveying and Mapping, Provincial Government Big Data Center, Responsible units: People's Governments of various cities] In the ice and snow economy scenario: gathering and constructing 4 categories of data sets including ice and snow sports, ice and snow culture, ice and snow equipment, and ice and snow tourism, relying on the Heilongjiang Ice and Snow Economic Statistics Monitoring System, assisting in the intelligent analysis of ice and snow economic development, providing data empowerment and intelligent support for the construction of a modern ice and snow industry system, and serving the development and growth of the entire ice and snow economy industry chain. [Leading unit: Provincial Department of Culture and Tourism, Responsible units: relevant units in the province and directly under the central government] Population movement monitoring scenario: deeply utilizing electricity data, household registration information and other multi-source data, constructing analysis and evaluation models, analyzing and revealing the spatial and temporal characteristics of population movement, providing trend prediction and countermeasure suggestions for population movement monitoring, housing development planning, and urban-rural planning adjustments.