CHALLENGES AND RESPONSES
Multiple base maps
Faced with the dual challenges of mechanism and technology, various government departments are acting independently, resulting in multiple maps of digital twin cities.
AES（All Elements Scene）
solves the problem of multiple base maps coexisting, achieving the goal of one blueprint that covers all data and applies all scenarios.
Technical dependency
Original technologies are limited, and the external dependence of technology is strong. It is difficult to integrate multiple engines, and the standards are not unified.
Digital Twin Innovation Alliance
tackles the issue of excessive technological dependence, achieving domestic self-reliance and control.
Shallow applications
More use of static visualization for Industry-level simulation, but difficult to support city-level scene simulation.
WDPAPI+CIMAPI
solves severe homogenization and limited application problems, realizing integrated delivery of projects and platforms.
Data integration difficulties
Challenges in merging geographic information with business data, and uncertainty on how to effectively utilize multivariate heterogeneous data.
DTA（Digital Twin Asset）
resolves the challenge of heterogeneous and difficult-to-integrate data sources, empowering cities to accumulate data assets.
Homogeneous industry
Challenges such as homogeneous competition, low-quality competition, insufficient industrial cooperation, and weak innovation ability.
ISE（Infinite Simulation Engine）
addresses the problem of shallow industry applications, providing city-level simulation and reasoning capabilities.
Low public participation
Many cities currently lack public involvement in urban construction，which may lead to the direction of digital twin cities not meeting the needs of residents and fail to truly solve problems in urban development.
AIGC
addresses the issue of low public participation, responding to the principle of " Cities should be built by the people and for the people."
Multiple base maps
Faced with the dual challenges of mechanism and technology, various government departments are acting independently, resulting in multiple maps of digital twin cities.
AES（All Elements Scene）
solves the problem of multiple base maps coexisting, achieving the goal of one blueprint that covers all data and applies all scenarios.
Technical dependency
Original technologies are limited, and the external dependence of technology is strong. It is difficult to integrate multiple engines, and the standards are not unified.
Digital Twin Innovation Alliance
tackles the issue of excessive technological dependence, achieving domestic self-reliance and control.
Shallow applications
More use of static visualization for Industry-level simulation, but difficult to support city-level scene simulation.
WDPAPI+CIMAPI
solves severe homogenization and limited application problems, realizing integrated delivery of projects and platforms.
Data integration difficulties
Challenges in merging geographic information with business data, and uncertainty on how to effectively utilize multivariate heterogeneous data.
DTA（Digital Twin Asset）
resolves the challenge of heterogeneous and difficult-to-integrate data sources, empowering cities to accumulate data assets.
Homogeneous industry
Challenges such as homogeneous competition, low-quality competition, insufficient industrial cooperation, and weak innovation ability.
ISE（Infinite Simulation Engine）
addresses the problem of shallow industry applications, providing city-level simulation and reasoning capabilities.
Low public participation
Many cities currently lack public involvement in urban construction，which may lead to the direction of digital twin cities not meeting the needs of residents and fail to truly solve problems in urban development.
AIGC
addresses the issue of low public participation, responding to the principle of " Cities should be built by the people and for the people."
