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The rapid development of the national economy requires strong support from a large number of basic production activities. Automated safety monitoring of mines, geological hazards, bridge deformation, water conservancy and hydropower, and oil and gas pipelines is especially important in production activities. The use of high-precision RTK positioning equipment, multi-functional intelligent sensors, and the Internet of Things can comprehensively improve the safety and supervision levels of relevant enterprises, and enhance the ability of enterprises, society and the government to respond early warnings of safety hazards.
GIS provides a visual way to combine and analyze geographic data with other data sets and tools to help users better understand issues and opportunities in the decision-making process and develop the best solutions. GIS can accurately capture and store geographic location data and combine it with other data sets. This capability is extremely important for various fields of application, such as environmental management, urban planning, emergency response, and agriculture. With the continuous development and innovation of technology, the application scope of GIS will continue to expand and deepen.
By satellite navigation positioning systems, ground-based augmentation systems, real-time kinematic positioning technology and inertial navigation technology, the operating status of various means of transport can be monitored in real time, scientifically dispatched and accurately commanded. At the same time, by using 4G/5G networks, WiFi and Bluetooth communication technologies to update management data in real time, means of transport can enter the era of precise management.
Digital construction enables full life cycle management of engineering projects by integrating high-precision positioning technologies, mechanical control algorithms and AI image recognition capabilities. Through three-dimensional visualization, high-precision maps and other means, complex engineering information is transformed into measurable and displayable digital data. BIM technology and mechanical equipment control technology are used to realize the collection, process supervision, resource scheduling and information release of full-process information of people, objects, vehicles and construction machinery under the construction site scene.
With the advancement of positioning technologies such as WiFi, Bluetooth, UWB and Zigbee, high-precision indoor positioning systems have received widespread attention. A single technology alone can no longer meet the needs of all positioning scenarios. Therefore, the "integration of multiple technologies" has become an inevitable trend in the development of positioning technology. From UWB to Bluetooth AOA/AOD to 5G, positioning technologies continue to derive, driving continuous advances and popularization of positioning technology.
With the rapid development of modern society, the demand for means of transport by government departments and enterprises has increased, and the number of vehicles has surged. Although this has increased work efficiency and convenience, the traditional management methods can no longer meet the requirements of modernization and informatization, causing a lot of trouble for government departments and enterprises. The existing vehicle dispatch management methods are difficult and inefficient, and are prone to safety risks, missed opportunities, private misappropriation of vehicles and other issues.
Railway transport yards or marshalling yards usually occupy tens of square kilometers, consisting of dozens of connected tracks forming an elongated control area. The spacing between tracks is relatively tight. When many different types of carriages are parked together, they form a natural barrier, making it difficult for conventional wireless positioning technologies to locate accurately. To improve positioning accuracy, dozens or even hundreds of base stations need to be deployed, but the cost-effectiveness is not high.
With technological progress, the development of artificial intelligence and the Internet, human society has entered a new era of "everything is connected and everything is intelligent". Autonomous driving technology is developing rapidly and has become a hot spot in the industry. However, autonomous driving technology on open roads and in urban environments is still in the research and testing stage. At present, the ability of sensors to detect pedestrians, animals and other targets on open roads still needs to be improved. An easier to overlook issue is the difficulty of positioning. Within a relatively small fixed area, the positioning problem can be solved by infrastructure renovation and SLAM technology. However, to design an autonomous vehicle that can drive over a larger range, high-precision positioning is a challenge.
Railway transport yards or marshalling yards usually occupy tens of square kilometers, consisting of dozens of connected tracks forming an elongated control area. The spacing between tracks is relatively tight. When many different types of carriages are parked together, they form a natural barrier, making it difficult for conventional wireless positioning technologies to locate accurately. To improve positioning accuracy, dozens or even hundreds of base stations need to be deployed, but the cost-effectiveness is not high.
Autonomous vehicles require high-precision maps, sensors and other technologies to understand the surrounding environment. Real-time kinematic GNSS positioning can provide absolute positioning accuracy up to centimeter level for vehicles. GNSS integrated with inertial navigation systems (IMU) and on-board sensors (such as wheel speed sensors, steering angle sensors) complement each other and can accurately measure the three-dimensional position, two-dimensional velocity and two-dimensional attitude of the vehicle. These measurement information can help the on-board computer to plan paths, track trajectories and control vehicle steering. At the same time, stable and smooth heading and position signals can also effectively reduce errors in vehicle control.
With technological progress, the development of artificial intelligence and the Internet, human society has entered a new era of "everything is connected and everything is intelligent". Autonomous driving technology is developing rapidly and has become a hot spot in the industry. However, autonomous driving technology on open roads and in urban environments is still in the research and testing stage. At present, the ability of sensors to detect pedestrians, animals and other targets on open roads still needs to be improved. An easier to overlook issue is the difficulty of positioning. Within a relatively small fixed area, the positioning problem can be solved by infrastructure renovation and SLAM technology. However, to design an autonomous vehicle that can drive over a larger range, high-precision positioning is a challenge.
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