Tag: digital city

  • CHC Navigation: The rise of digital-twin models

    CHC Navigation: The rise of digital-twin models

    Photo: CHC Navigation
    Photo: CHC Navigation

    Increasing urbanization is creating pressure to manage housing, utilities and infrastructure holistically. Hence the concept of digital twins. Digital twins enable the integrated operation and maintenance of any geospatial asset to meet the increased demand for efficient and intelligent transportation systems, the green expansion of urban areas and sustainable infrastructure.

    Traditional GNSS or optical measurement instruments no longer suffice to capture all the necessary information in a timely manner and with the right levels of detail. Integrating technological advances — GNSS, inertial systems, lidar sensors and 360° spherical imagery — into a single mobile-mapping system has greatly increased the ability to produce complete 3D models with high accuracy and precision. Mobile mapping also directly reduces workload, lowers project costs, simplifies data use, and provides reality-based design.

    Mobile mapping surveys have been proven to be four to 10 times faster and three to seven times less expensive than traditional methods, delivering the required results up to three times faster. Integrated, multi-platform mobile-mapping solutions bridge the gap between the real world and the digital world for greater interoperability and accessibility of data in near real-time.

    The high-accuracy and cross-platform design of CHC Navigation’s AlphaUni 900 lidar system provides an innovative solution for 3D spatio-temporal data acquisition, which is necessary for the digital transformation of the AEC industry.

    Smart Cities

    After developing for more than a decade, digital-twin technology is now a complex and comprehensive technical system to support the construction of new smart cities. It is an advanced model for the continuous innovation of urban development and a future form of modernization combining the virtual and real worlds. The creation of digital-twin cities brings to the forefront high-level topographic tools capable of providing comprehensive, multi-dimensional, large-scale, high-resolution data sets.

    To illustrate typical digital-city projects, CHC Navigation conducted a proof-of-concept demonstration in the Jinshan District of Shanghai, which covers an area of about 600 square kilometers. This area has rich terrain features and characteristics typical of large modern cities, such as tall buildings, power lines, rivers and vegetation.

    Versatile and easy-to-use platforms are essential for the democratization of lidar systems. Capturing 3D data with a single-platform lidar system can leave some areas blank in the point-cloud data. The AlphaUni900 lidar solution, with its multi-platform capability, can easily capture complete data from a UAV, car, backpack or unmanned surface vessel (USV) and provide a sophisticated and comprehensive 3D model. The AlphaUni 900 integrates seamlessly with real buildings, provides exterior and interior mapping, and dramatically changes the way high-precision data is collected.

    The derived 3D models can be easily merged and correlated with social or economic spatial data, for example from building-integrated internet of things (IoT) and cloud computing data. As a result, complex operations can be optimized in real time, potential problems can be anticipated, and planned maintenance can be implemented to ensure the sustainability of urbanization projects over their entire lifespan, all in a fully connected model.

    Affordable, user-friendly solutions for capturing and processing airborne lidar data and imagery have triggered a strong adoption of UAV technology in the AEC industry. For CHC Navigation, 2021 was marked by the huge success of the AlphaAir 450, a breakthrough in 3D UAV mapping technology. With its ease of use, high accuracy and affordability, the AA450 expands the scope of lidar surveying to non-professional users in geospatial reality-capture applications and to those who have never been able to afford such technology before.

  • Multi-platform lidar enables digital twin cities

    Multi-platform lidar enables digital twin cities

    Digital twin technology emerged a decade ago to provide 3D virtual replicas of physical assets. Today, with Big Data and internet of things (IoT) capabilities, it is a complex and comprehensive method to support the construction of smart cities.

    Mapping Shanghai with the AlphaUni 900. (Image: CHC Navigation)
    Mapping Shanghai with the AlphaUni 900. (Image: CHC Navigation)

    As a virtual model, a digital city can be an indispensable tool to visualize the life of a city in real time. It provides layered data about buildings, urban infrastructure, utilities, businesses, and the movement of people and vehicles. By providing this information, digital twins enable intelligent urban development and modernization.

    Traditional methods of collecting and representing 2D spatial data, such as maps and images, are insufficient to meet the requirements for digital twin city models, where digital data provides the foundation for large-scale projects.

    For example, the derived 3D models must have a high capacity to be merged and correlated with social or economic spatial data from IoT and Big Data. Because of this, a high demand exists for global, accurate, real-time geospatial data that provides high-precision 2D and 3D information.

    Proof-of-concept

    To illustrate a typical digital cities project, CHC Navigation (CHCNAV) carried out a proof-of-concept demonstration in the Jinshan district of Shanghai for one month in March and April.

    The total area of the Jinshan district is approximately 600 km2. This area contains rich terrain features and typical characteristics of large, modern cities, such as high buildings, power lines, rivers and vegetation.

    Extracted 3D mesh created from the data. (Image: CHC Navigation)
    Extracted 3D mesh created from the data. (Image: CHC Navigation)

    The traditional method of capturing with a single-platform lidar system may leave some areas blank in the point-cloud data. CHCNAV’s AlphaUni 900 lidar solution, with its multi-platform capability, was able to capture complete data with four different platforms: an unmanned aerial vehicle (UAV), a car, a backpack and a boat or unmanned surface vehicle (USV).

    The AlphaUni series provides optimized data sets powered by advanced GNSS/inertial navigation system (INS) sensors and long-range scanners.

    Point cloud from aboard an Apache6 USV mapping a water channel. (Image: CHC Navigation)
    Point cloud from aboard an Apache6 USV mapping a water channel. (Image: CHC Navigation)

    During the project, the CHCNAV AlphaUni 900 seamlessly integrated the district’s buildings in the data sets and provided a sophisticated 3D image from both indoor and outdoor environments. Its high-accuracy capability and multi-platform design can improve the way high-precision data is collected. It successfully provides an innovative solution for the problems of 3D geospatial data acquisition required for the development of smart cities.

    Table Data: CHC Navigation
    Table data: CHC Navigation