Intelligent drone for surveying construction sites and industrial areas
The autonomous drone system addresses the limitations of current drones by integrating AI and multi-sensors for real-time data processing and navigation, ensuring safe and efficient site monitoring with accurate data collection and transmission.
Patent Information
- Application Number
- DE202024106662
- Authority / Receiving Office
- DE · DE
- Patent Type
- Utility models
- Current Assignee / Owner
- Filing Date
- 2024-11-19
- Publication Date
- 2025-01-09
- Estimated Expiration
- 2034-11-30
AI Technical Summary
Current drones for surveying and monitoring construction and industrial sites require human control, struggle with autonomous navigation, lack comprehensive real-time data analysis, and often rely on inefficient post-processing methods, leading to incomplete data and safety risks.
An autonomous drone system equipped with AI-driven navigation, multi-sensor integration, and real-time data processing capabilities, including LiDAR, thermal imaging, high-resolution cameras, GPS, IMU, obstacle avoidance, and communication modules, enabling safe and efficient data collection and analysis.
The drone system provides accurate, real-time data processing, enhances safety by reducing human presence in hazardous environments, improves data integrity, and supports rapid decision-making through comprehensive data integration and transmission.
Abstract
Description
TECHNICAL FIELD OF THE INVENTION
[0001] This disclosure relates to a surveillance drone, more specifically to autonomous intelligent drones equipped with artificial intelligence and multi-sensor systems for surveying and monitoring construction and industrial sites. BACKGROUND OF THE INVENTION
[0002] The background description contains information that may be useful for understanding the present invention. This is not an admission that the information provided herein is prior art or relevant to the invention claimed herein, or that any publication expressly or impliedly referenced is prior art.
[0003] Surveying and monitoring construction and industrial sites are traditionally labor-intensive and time-consuming tasks. Conventional methods often involve manual measurements and human-operated equipment, exposing workers to potential safety hazards, particularly in complex or hazardous environments such as high-rise buildings, industrial facilities, and mining sites. These methods also suffer from inefficiencies, limited accuracy, and extended timeframes for data processing and analysis.
[0004] Although drones have brought some improvements by reducing manual labor and increasing the speed of data collection, current drones still face significant limitations. Many drones require direct human control during flight and cannot effectively navigate in dynamic environments or autonomously avoid obstacles. Furthermore, most drone systems collect raw data but rely on external, time-consuming post-processing methods to extract useful insights, delaying critical decision-making.
[0005] Furthermore, current drones cannot integrate multiple sensors for comprehensive, real-time data analysis. They are often equipped with only simple cameras, which limits their ability to detect key site variables such as structural integrity, thermal fluctuations, or precise topography. This inadequacy leads to incomplete data and potential oversights at complex sites.
[0006] There is a growing need for a fully autonomous, AI-controlled drone system that can navigate, analyze, and provide real-time data processing for monitoring construction and industrial sites. The invention described here addresses these shortcomings by combining AI-controlled navigation, multi-sensor integration, and real-time data analysis to revolutionize site surveying and improve accuracy, efficiency, and safety. The invention addresses these limitations by providing an autonomous drone equipped with advanced artificial intelligence and multiple sensors for surveying and monitoring construction and industrial sites. This drone can independently navigate complex environments, avoid obstacles in real time, and collect comprehensive data. OBJECTIVES OF THE INVENTION
[0007] The main objective of this invention is to provide an autonomous, AI-powered drone system for surveying and monitoring construction and industrial sites, capable of processing data in real time and avoiding obstacles in complex environments.
[0008] By integrating AI-based navigation and multi-sensor technology, the drone can operate independently in complex environments, increasing safety by reducing the need for human presence in hazardous areas and improving data accuracy through 3D mapping and thermal imaging.
[0009] Furthermore, the invention aims to increase efficiency by automating the surveying process, enabling real-time data processing and instant insights that support rapid, informed decision-making. This system is intended for use in various industries such as construction and mining, where reliable, efficient site monitoring is essential. SUMMARY OF THE INVENTION
[0010] This disclosure relates to surveillance drones, more specifically to autonomous intelligent drones equipped with artificial intelligence and multi-sensor systems for surveying and monitoring construction and industrial sites.
[0011] The present invention consists of an AI processor that enables the drone to navigate autonomously and perform real-time data analysis. This processor enables the drone to make intelligent decisions during flight, adapt to complex site conditions without human intervention, and ensure accurate data collection throughout the surveying process.
[0012] The present invention consists of a LiDAR sensor that generates precise 3D maps by emitting laser pulses and measuring the distance to objects. This component enables the drone to navigate safely around obstacles and provides accurate topographical data essential for detailed location analysis.
[0013] The present invention consists of a thermal imaging camera that detects thermal fluctuations on the site. This camera identifies potential problems such as overheated equipment or structural weaknesses and provides operators with insight into otherwise invisible site conditions, increasing safety and efficiency.
[0014] The present invention consists of a high-resolution camera that captures detailed images of the terrain and provides high-quality visual documentation. This camera assists in thorough inspections by providing a clear view of structures and equipment, thus enabling reliable visual analysis and recording.
[0015] The present invention consists of a GPS and an inertial measurement unit (IMU), which ensures precise location tracking and stable flight. These components enable accurate positioning, even in challenging environments, and support consistent and repeatable survey results.
[0016] The present invention consists of an obstacle avoidance system that autonomously detects and avoids obstacles in real time. Using data from LiDAR and other sensors, this system enables the drone to safely navigate around equipment and structures commonly found on industrial sites.
[0017] The present invention consists of a communications module that enables real-time data transmission to remote monitoring stations or cloud storage. This component allows project managers to instantly access and monitor site data, supporting timely decision-making and improved coordination.
[0018] The present invention consists of a power supply, including a high-capacity battery with potential solar backup capabilities, ensuring extended flight times. This power system enables the drone to cover large survey areas with minimal downtime for recharging.
[0019] The present invention consists of a frame and propulsion system made of lightweight, durable materials that provide stability and reliability in industrial environments. This structure enhances the drone's performance, ensuring it can withstand harsh conditions while flying efficiently.
[0020] The present invention consists of control software and a user interface that allows operators to manage the drone's functions, set flight routes, and remotely monitor data. This user-friendly software improves the drone's usability and enables comprehensive site surveys and optimized data analysis. DETAILED DESCRIPTION
[0021] The following is a detailed description of the embodiments of the disclosure. The embodiments are detailed enough to convey the disclosure. However, the amount of detail provided is not intended to limit the expected variations of the embodiments. On the contrary, it is intended to cover all modifications, equivalents, and alternatives that fall within the spirit and scope of the present disclosure, as defined in the appendix.
[0022] The present invention is an intelligent, autonomous drone system specifically designed for surveying and monitoring construction and industrial sites. It incorporates several key components that work together to enable accurate, real-time data collection and analysis while improving on-site safety and efficiency.
[0023] The present invention consists of an AI processor that serves as the drone's brain, enabling it to perform autonomous navigation and real-time data analysis. This processor is equipped with advanced algorithms that enable the drone to make intelligent decisions based on sensor inputs. By analyzing data from various sensors, the AI processor can adjust the drone's flight path in real time and ensure that it responds effectively to changing environmental conditions or unexpected obstacles. This autonomy reduces the need for human intervention and enables the drone to operate in complex and dynamic environments, improving overall efficiency and accuracy in surveying tasks.
[0024] In addition to navigation, the AI processor facilitates the integration of data captured by the LiDAR sensor, thermal imaging camera, and high-resolution camera. It processes this information to generate actionable insights, such as identifying potential hazards or areas requiring further inspection. By consolidating data from multiple sources, the AI processor enables comprehensive site assessments and improves the drone's ability to provide operators with timely and relevant information.
[0025] The AI processor also plays a crucial role in the drone's learning capabilities. Using machine learning algorithms, the processor can analyze historical data to improve future performance. It also collects topographic data, which is essential for understanding the terrain and layout of construction and industrial sites. The resulting 3D maps facilitate the effective planning, monitoring, and management of construction site activities.
[0026] The LiDAR sensor enhances the drone's obstacle detection capabilities. As the drone navigates through complex environments, the LiDAR continuously scans the surroundings and identifies potential hazards such as cranes, buildings, and other structures. By providing real-time data about the drone's surroundings, the LiDAR sensor works in tandem with the AI processor to autonomously adjust the flight path, ensuring safe navigation during surveying.
[0027] The accuracy and precision of the LiDAR sensor also contribute to improved data integrity. The high-resolution mapping it provides enables project managers and engineers to make informed decisions based on reliable and detailed information. This improved data quality is critical for effective project management, resource allocation, and compliance with safety regulations in construction and industrial environments.
[0028] The present invention consists of a thermal imaging camera, which is essential for detecting thermal fluctuations on the surveyed site. This camera captures the infrared radiation emitted by objects and can thus detect thermal anomalies that could indicate potential problems such as overheated machinery or electrical faults. By detecting these thermal patterns, the drone can help prevent equipment failures and reduce the risk of accidents, ultimately increasing on-site safety.
[0029] In addition to equipment monitoring, the thermal imaging camera plays a crucial role in assessing structural integrity. For example, it can detect heat loss in buildings and uncover areas where insulation may be inadequate or structural problems exist. By providing this information, the camera helps engineers and project managers make timely decisions regarding maintenance or repair, ensuring projects stay on schedule and within budget.
[0030] The data captured by the thermal imaging camera can be integrated with information from the AI processor and other sensors, creating a comprehensive overview of on-site conditions. This multifaceted approach to data collection enhances the overall effectiveness of the drone as a surveying tool, enabling in-depth analysis and informed decision-making based on real-time thermal data.
[0031] This invention consists of a high-resolution camera that captures clear and detailed images of the construction site or industrial area. This camera provides high-quality visual documentation, essential for thorough inspections and monitoring activities. By capturing precise images, the drone can document the condition of structures, materials, and equipment, thus enabling effective project management and communication between team members.
[0032] The high-resolution camera complements the data captured by the LiDAR sensor and thermal imaging camera by providing a visual context for data analysis. For example, while the LiDAR provides topographical data, the high-resolution images can reveal the condition of surfaces and materials in detail. This integration of visual data with 3D mapping improves the overall quality of site assessments and enables a more comprehensive understanding of site conditions.
[0033] Furthermore, the images captured by the high-resolution camera can serve multiple purposes, from creating reports for stakeholders to documenting project progress for compliance and audit purposes. The ability to capture high-quality visual data on-site significantly increases the value of the drone as a surveying tool, providing stakeholders with reliable evidence and insights for decision-making.
[0034] The present invention consists of a GPS and an inertial measurement unit (IMU), which is critical for ensuring precise location tracking and stability during flight. The GPS provides accurate positioning data, allowing the drone to navigate to specific coordinates with high accuracy. This capability is crucial for conducting reliable surveys and monitoring activities, as it ensures that data is collected from the intended locations on-site.
[0035] The IMU complements the GPS by providing data on the drone's orientation and movement. It measures the drone's acceleration and angular velocity, ensuring the drone remains stable during flight. This is especially important in challenging environments, such as construction sites with varying elevations or windy conditions, where maintaining a consistent flight path is critical for accurate data collection.
[0036] GPS and IMU enable the drone to reliably perform complex surveying tasks. The combination of accurate positioning and stability enables consistent and repeatable survey results and ensures that data collected over time can be effectively compared and analyzed. This reliability increases the drone's utility in various industrial applications and offers stakeholders
[0037] The present invention consists of a LiDAR sensor, which is critical for creating accurate 3D maps of the surveying environment. By emitting rapid laser pulses and measuring the time it takes for the reflections to return, the LiDAR sensor generates precise distance measurements to various objects. This capability enables the drone to capture detailed, useful insights for project management and decision-making.
[0038] The present invention consists of an obstacle avoidance system that improves the safety and efficiency of the drone during operation. This system uses data from the LiDAR sensor and other onboard sensors to detect obstacles in real time. As the drone navigates through complex environments, the obstacle avoidance system continuously analyzes its surroundings and identifies potential hazards such as cranes, buildings, and other structures.
[0039] When an obstacle is detected, the AI processor immediately adjusts the drone's flight path to avoid collisions. This autonomous navigation capability ensures that the drone can operate safely in environments where human-controlled machinery or equipment could pose risks. By minimizing the likelihood of accidents or damage to both the drone and surrounding infrastructure, the obstacle avoidance system significantly improves the overall safety of the surveying process.
[0040] Furthermore, the obstacle avoidance system contributes to the drone's efficiency. By enabling the drone to navigate autonomously around obstacles, it can cover more ground in less time without compromising safety. This efficiency is particularly beneficial on large construction sites or industrial premises, where the complexity of the environment can pose significant challenges for manual surveying methods.
[0041] The present invention consists of a communication module that enables seamless real-time data transmission to remote monitoring stations or cloud-based storage. This feature allows the drone to instantly share captured data, providing project managers and supervisors with immediate access to critical information. The communication module improves collaboration between team members, allowing stakeholders to monitor on-site conditions in real time, leading to more informed decisions.
[0042] The communication module supports various data formats and enables the simultaneous transmission of 3D maps, thermal images, and high-resolution photos. By consolidating multiple data types, the module ensures that operators receive comprehensive insights into on-site conditions without delays. This real-time access to data is particularly valuable in fast-paced industrial environments where timely information can significantly impact project outcomes.
[0043] The communication module can be integrated with other software platforms used in project management, enabling optimized data analysis and reporting. By connecting the drone's data capabilities with existing management tools, stakeholders can leverage insights from drone operations to improve the overall efficiency and effectiveness of the project.
[0044] The present invention consists of a power supply containing a high-performance battery designed for extended flight times. This battery is crucial for maximizing the drone's operational efficiency, as it can cover larger areas without the need for frequent recharging. The extended flight capability allows the drone to conduct comprehensive surveying and surveillance activities in a single mission, reducing the need for multiple flights and optimizing productivity.
[0045] The power supply includes potential solar-assisted charging options. This innovation improves the drone's endurance by allowing it to recharge during flight, especially in sunny weather. This feature is particularly beneficial for long-duration missions, as it can significantly extend operating time without requiring downtime to recharge the battery.
[0046] The power supply design also focuses on weight reduction to maintain the drone's agility and performance. Through the use of lightweight materials and efficient battery technology, the power supply contributes to the drone's overall flight stability and efficiency, ensuring it can effectively perform its surveying tasks in various industrial environments.
[0047] The present invention consists of a frame and propulsion system constructed from lightweight, durable materials to ensure stability and reliability in industrial environments. This design choice ensures that the drone can withstand the harsh conditions commonly found on construction sites, such as dust, moisture, and shock from minor collisions. The robust frame supports the integration of all onboard components while maintaining an optimal weight-to-strength ratio for improved flight performance.
[0048] The propulsion system, which includes efficient motors and propellers, is designed to provide the drone with sufficient lift and maneuverability. This system allows the drone to navigate complex environments with agility, enabling precise control during operation. The propulsion design is optimized for both speed and efficiency, ensuring the drone can cover large areas quickly while remaining energy-efficient.
[0049] Together, the frame and propulsion system contribute to the drone's overall effectiveness as a surveying tool. The combination of lightweight materials and powerful propulsion ensures that the drone can perform its tasks.
[0050] The functionality of this intelligent drone system for surveying construction sites and industrial premises includes a sequence of autonomous functions and coordinated data processing steps, each contributing to safe, efficient, and comprehensive site monitoring.
[0051] The intelligent drone begins its operation with mission setup via the control software and user interface. An operator defines parameters such as the survey area, flight route, and altitude. After launch, the AI processor manages all onboard components, allowing the drone to autonomously follow a programmed route. This processor also coordinates data collection and makes real-time adjustments based on sensor inputs.
[0052] Once the flight route is determined, GPS and the IMU module work together to ensure precise positioning and maintain the drone's stability during flight. This ensures that the drone follows its path accurately, regardless of changes in terrain or environmental factors. The IMU helps stabilize the drone, making it well-suited for demanding industrial environments.
[0053] As the drone moves through the terrain, the LiDAR sensor collects 3D topographic data by emitting laser pulses to measure distances to nearby objects. This data is critical for creating detailed site plans and allows managers to accurately assess the terrain for planning purposes. The LiDAR data is processed by AI, giving the drone spatial awareness, which aids in navigation and data accuracy.
[0054] At the same time, the thermal imaging camera looks for temperature fluctuations and identifies thermal patterns across equipment or structures. This data is valuable for detecting problems such as overheating, which could indicate potential equipment failure. The AI processor integrates thermal data with 3D mapping to better understand site conditions.
[0055] The high-resolution camera captures clear images and provides a visual layer to the survey data. These images provide context to other sensor data and reveal surface conditions, equipment status, or material quality. The high-resolution images complement the thermal and LiDAR data and improve the overall site assessment.
[0056] The obstacle avoidance system ensures the drone's safety. Using sensor data, it identifies obstacles such as cranes or buildings and adjusts the drone's flight path in real time. This feature ensures the drone can safely navigate dynamic locations with minimal risk of collision.
[0057] After data collection, the communication module transmits real-time data to remote monitoring stations or cloud storage. This instant access to 3D maps, thermal images, and images enables project managers to analyze and make decisions promptly, improving construction site safety, operational efficiency, and project monitoring. KEY FEATURES OF THE INTELLIGENT DRONE FOR SURVEYING CONSTRUCTION AND INDUSTRIAL SITES • AI-assisted autonomous navigation: An AI processor enables the drone to navigate independently and make real-time adjustments based on sensor inputs. This autonomy minimizes the need for human intervention and improves both operational efficiency and accuracy. • High-precision LiDAR mapping: The LiDAR sensor provides accurate 3D mapping of the construction site by collecting distance data to various objects and creating detailed topographic information for planning, inspection and analysis. • Thermal imaging for security monitoring: Equipped with a thermal imaging camera, the drone can detect temperature fluctuations and identify overheating or potential equipment failures, contributing to preventive maintenance and reducing on-site risks. • High-resolution visual documentation: The high-resolution camera captures clear, detailed images for thorough visual documentation of the construction site, providing valuable insights into structural integrity, material quality, and project progress. • Real-time obstacle avoidance: An obstacle avoidance system allows the drone to detect and avoid obstacles, ensuring safe
[0058] Operation in complex and dynamic industrial environments with minimal risk of collision is ensured. • Precise positioning and stability: A GPS and IMU module provides accurate location tracking and flight stability, even in difficult terrain, ensuring consistent and reliable data collection. • Seamless communication and data transfer: The communication module enables real-time data transfer to remote stations or cloud storage, providing instant access to captured data and enabling project managers to make faster decisions. • Extended flight time: With a high-capacity power supply, possibly including solar assist options, the drone is designed for longer flight time, allowing it to cover larger areas in single missions and maximize operational efficiency. ADVANTAGES OF AN INTELLIGENT DRONE FOR SURVEYING CONSTRUCTION AND INDUSTRIAL SITES
[0059] The present invention offers the following advantages.
[0060] Improved safety: By conducting autonomous surveys in hazardous or complex environments, the drone reduces the need for personnel in high-risk areas. The thermal imaging function also helps identify excessive equipment damage or unsafe conditions, preventing accidents.
[0061] Improved data accuracy: With precise LiDAR mapping, high-resolution cameras, and thermal imaging, the drone delivers highly accurate data for site assessment. This helps project managers make more informed decisions based on reliable and comprehensive information.
[0062] Real-time data access: The communications module enables instant data transfer, allowing project teams to access and analyze information in real time. This improves responsiveness and enables managers to make quick, data-driven decisions.
[0063] Environmental Adaptation: With features like GPS and IMU stabilization, the drone can operate reliably in challenging conditions and adapt to dynamic environments. Its obstacle avoidance also ensures safe operation in crowded or changing industrial facilities.
[0064] Extended operating range: A robust power system enables longer flight times, allowing the drone to cover larger areas in a single mission and requiring less frequent recharging, making it ideal for sprawling construction and industrial sites.
[0065] Cost savings: By reducing labor and enabling rapid inspections, the drone lowers operating costs. Furthermore, its preventive maintenance features can identify problems early, potentially reducing costly repairs and downtime.
Claims
[1] An intelligent drone system for surveying and monitoring construction sites and industrial premises, consisting of: an AI processor to process and analyze data from multiple sensors, including LiDAR, thermal imaging, and high-resolution cameras, a laser-based distance measurement sensor for generating high-resolution 3D maps of the surveyed environment for topographical accuracy and for real-time obstacle detection to improve navigation safety. a thermal detection sensor that senses infrared radiation to detect thermal anomalies that indicate potential equipment or structural problems. an optical imaging system to provide detailed visual documentation of the surveyed construction site, where: The optical imaging system captures high-quality images to support inspections and monitoring, complements LiDAR and thermal data, provides visual context for the captured data, and enables reporting for project tracking and compliance. [2] The intelligent drone system for surveying and monitoring construction sites and industrial premises according to claim 1 comprises a GPS and inertial measurement unit (IMU) as well as positioning and stability modules for precise location tracking and stabilization. [3] The intelligent drone system for surveying and monitoring construction sites and industrial facilities according to claim 1 includes an obstacle avoidance system that uses LiDAR and other sensors to autonomously detect and avoid obstacles. [4] The intelligent drone system for surveying and monitoring construction sites and industrial facilities according to claim 1, wherein the obstacle avoidance system dynamically adapts flight paths and thus minimizes the risk of collision. [5] The intelligent drone system for surveying and monitoring construction sites and industrial facilities according to claim 1 comprises a communication module that enables real-time data exchange with remote stations or cloud storage. [6] The intelligent drone system for surveying and monitoring construction sites and industrial facilities according to claim 1 comprises a power module with: a high-performance battery for longer flight time, optional solar-assisted charging to extend the mission duration. [7] The intelligent drone system for surveying and monitoring construction sites and industrial facilities according to claim 1 comprises a structural and mobility system made of lightweight materials for stability in harsh environments, where efficient engines and propellers provide improved maneuverability and speed. [8] The intelligent drone system for surveying and monitoring construction sites and industrial facilities according to claim 1; wherein the system operates autonomously and follows a programmed route using the AI processor, GPS and IMU, while continuously collecting and processing data via onboard sensors to improve the accuracy and safety of surveying in construction and industrial environments.
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