An unmanned intelligent compaction system

Abstract

The utility model relates to the field of unmanned technology, concretely to an unmanned intelligent compaction system, including cloud platform and the unmanned terminal of installation in unmanned road roller, and the unmanned terminal includes central control unit, positioning module, environmental perception module and communication module, wherein environmental perception module includes acceleration sensor and vibrating wheel pressure acquisition module, acceleration sensor is used to gather the acceleration signal of unmanned road roller, and vibrating wheel pressure acquisition module is used to gather the roadbed counterforce signal, and central control unit receives the acceleration signal and the roadbed counterforce signal that environmental perception module gathered, and through communication module is uploaded to cloud platform. Through built -in vibrating wheel pressure distribution sensing array and infrared thermal imager, realize the multidimensional synchronous monitoring of roadbed counterforce, temperature field and compaction uniformity, and can dynamically optimize compaction parameters in combination with cloud platform intelligent analysis, ensure construction quality consistency.

Description

Technical Field

[0001] This utility model relates to the field of unmanned driving technology, specifically to an unmanned intelligent compaction system. Background Technology

[0002] Traditional road compaction operations heavily rely on manual operation, resulting in low efficiency, poor accuracy, and high safety risks. Existing unmanned road rollers mostly use a single sensor (such as GNSS positioning) for basic navigation, but these are susceptible to signal interference in dynamic construction environments, leading to positioning drift. Communication modules often rely on single-link transmission, resulting in insufficient data return reliability and potential delays or interruptions in cloud-based commands. Furthermore, current assessments of road compaction quality primarily rely on experience or offline testing, lacking real-time synchronous monitoring of parameters such as vibratory drum pressure distribution, subgrade reaction force, and road surface temperature. This makes it difficult to dynamically adjust compaction parameters, easily leading to under-compaction or over-compaction issues. Therefore, there is an urgent need for an unmanned compaction system integrating high-precision positioning, redundant communication, and multi-dimensional perception to improve construction efficiency, compaction quality, and operational safety. Utility Model Content

[0003] The technical problem solved by this utility model is to provide an unmanned intelligent compaction system to solve the technical problems of unstable communication and incomplete environmental data detection in existing road compaction operations.

[0004] The basic solution provided by this utility model is: an unmanned intelligent compaction system, including a cloud platform and an unmanned terminal installed on an unmanned road roller. The unmanned terminal includes a central control unit, a positioning module, an environmental perception module, and a communication module; the positioning and navigation module, the environmental perception module, and the communication module are all electrically connected to the central control unit.

[0005] The communication module is used to establish a wireless connection with the cloud platform; the positioning module is used to acquire the positioning signal of the unmanned road roller and upload it to the cloud platform through the communication module.

[0006] The environmental perception module includes an acceleration sensor and a vibratory wheel pressure acquisition module. The acceleration sensor is used to acquire the acceleration signal of the unmanned road roller, and the vibratory wheel pressure acquisition module is used to acquire the roadbed reaction force signal. After receiving the acceleration signal and roadbed reaction force signal acquired by the environmental perception module, the central control unit uploads them to the cloud platform through the communication module.

[0007] Furthermore, the vibratory roller pressure acquisition module includes a pressure distribution sensor array built into the vibratory roller of the unmanned road roller to acquire the roadbed reaction force signal in real time when the vibratory roller is working.

[0008] Furthermore, the positioning module employs a combination of a dual-frequency RTK-GNSS receiver and an optical fiber inertial navigation system for positioning.

[0009] Furthermore, the communication module adopts a dual-link redundancy architecture of 5G-V2X and satellite communication, which improves the reliability of communication between the unmanned terminal and the cloud platform through dual-link redundancy.

[0010] Furthermore, the environmental perception module also includes an infrared thermal imager, which is used to collect thermal image signals of the road surface. After receiving the thermal image signals, the central control unit uploads them to the cloud platform through the communication module.

[0011] Furthermore, the environmental perception module also includes an obstacle avoidance radar array, which includes a forward main radar and a side auxiliary radar. The forward main radar detects the distance signals collected by the auxiliary radar and transmits them to the central control unit for processing.

[0012] Furthermore, it also includes a mobile terminal, which is wirelessly connected to the cloud platform. The mobile terminal includes a display module, and the cloud platform is also used to transmit the positioning signal and acceleration signal received from the unmanned road roller to the mobile terminal.

[0013] The principles and advantages of this invention are as follows: This invention significantly improves the positioning accuracy and anti-interference capability of unmanned road rollers in complex environments through a combination of dual-frequency RTK-GNSS and fiber optic inertial navigation positioning technology; the dual-link redundant architecture of 5G-V2X and satellite communication ensures real-time and reliable data transmission, preventing the loss of cloud control commands. An integrated vibratory wheel pressure distribution sensor array and infrared thermal imager enable multi-dimensional synchronous monitoring of subgrade reaction force, temperature field, and compaction uniformity. Combined with intelligent analysis from the cloud platform, compaction parameters can be dynamically optimized to ensure consistent construction quality. The obstacle avoidance radar array uses a forward-facing main radar and a side-mounted auxiliary radar for collaborative scanning, covering the area in front of and to the sides of the road roller, effectively reducing the risk of collisions. The mobile terminal and cloud platform are linked, supporting remote real-time monitoring and data visualization, improving construction management efficiency. This system, through the integration of multiple technologies, solves the technical problems of low automation, insufficient data closure, and prominent safety hazards in traditional compaction operations. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of an embodiment of an unmanned intelligent compaction system according to the present invention.

[0015] Figure 2 This is a logic block diagram of an unmanned terminal in an embodiment of an unmanned intelligent compaction system according to this utility model. Detailed Implementation

[0016] The following detailed description illustrates the specific implementation method:

[0017] The specific implementation process is as follows:

[0018] Example 1

[0019] Example 1 is basically as shown in the appendix. Figure 1 As shown, an unmanned intelligent compaction system includes a cloud platform, a mobile terminal, and an unmanned terminal installed on an unmanned road roller. The unmanned terminal includes a central control unit, a positioning module, an environmental perception module, and a communication module; the positioning and navigation module, the environmental perception module, and the communication module are all electrically connected to the central control unit.

[0020] The communication module in this embodiment adopts a dual-link redundancy architecture of 5G-V2X and satellite communication. The main link ensures low-latency (<50ms) data transmission, and the backup link automatically switches when the signal is interrupted to ensure continuous synchronization of compacted data and control commands. The reliability of communication between the unmanned terminal and the cloud platform is improved through dual-link redundancy.

[0021] The positioning module uses a combination of a dual-frequency RTK-GNSS receiver and a fiber optic inertial navigation system for positioning. After processing in the cloud platform, it can generate centimeter-level three-dimensional coordinate data, which improves the positioning stability in dynamic environments.

[0022] As attached Figure 2 As shown, the environmental perception module includes an acceleration sensor, a vibration wheel pressure acquisition module, an infrared thermal imager, and an obstacle avoidance radar array.

[0023] The accelerometer is used to collect the acceleration signal of the unmanned road roller, and the central control unit can obtain the traveling speed of the unmanned road roller based on the acceleration signal. The vibratory drum pressure acquisition module includes a pressure distribution sensor array built into the vibratory drum of the unmanned road roller, which collects the subgrade reaction force signal in real time when the vibratory drum is working. Specifically, in this embodiment, a piezoelectric thin film sensor array is embedded inside the vibratory drum to collect the vertical pressure signal (0-50MPa) in real time, and dynamically evaluates the compaction uniformity in combination with the changes in subgrade reaction force. After receiving the acceleration signal and subgrade reaction force signal collected by the environmental perception module, the central control unit uploads them to the cloud platform through the communication module.

[0024] Infrared thermal imagers are used to collect thermal image signals of the road surface. After receiving the thermal image signals, the central control unit uploads them to the cloud platform through the communication module. The cloud platform can analyze the road surface temperature distribution through thermal images and optimize vibration parameters in combination with the compaction density model to avoid over-compaction or under-compaction of the road surface.

[0025] The obstacle avoidance radar array in this embodiment includes a forward main radar (77GHz millimeter-wave radar) and a side auxiliary radar (24GHz radar). The forward main radar has a detection beamwidth of ±45°, and the auxiliary radar uses a fan-shaped scanning mode to cover a 3m area on both sides of the unmanned road roller. The forward main radar and the auxiliary radar transmit the collected distance signals to the central control unit for processing. The central control unit can trigger emergency braking or path replanning to avoid obstacles based on the detected obstacle situation.

[0026] In this embodiment, the mobile terminal is a tablet computer. In other embodiments, other handheld devices such as mobile phones can also be used. Construction workers can use the tablet computer to view the compaction trajectory, temperature heat map and obstacle avoidance alarm information in real time, thereby supporting remote manual intervention or parameter correction and realizing manned / unmanned collaborative operation.

[0027] In summary, this system, through the integration of multiple technologies, has solved the technical bottlenecks of low automation, insufficient data closure, and prominent safety hazards in traditional compaction operations.

[0028] The above are merely embodiments of this utility model. Commonly known structures and characteristics are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, based on the guidance provided in this application, improve and implement this solution in combination with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of this utility model. These should also be considered within the scope of protection of this utility model, and will not affect the effectiveness of the implementation of this utility model or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. An unmanned intelligent compaction system, comprising a cloud platform and an unmanned terminal installed on an unmanned road roller, characterized in that: The unmanned terminal includes a central control unit, a positioning module, an environmental perception module, and a communication module; the positioning module, environmental perception module, and communication module are all electrically connected to the central control unit. The communication module is used to establish a wireless connection with the cloud platform; the positioning module is used to acquire the positioning signal of the unmanned road roller and upload it to the cloud platform through the communication module. The environmental perception module includes an acceleration sensor and a vibratory wheel pressure acquisition module. The acceleration sensor is used to acquire the acceleration signal of the unmanned road roller, and the vibratory wheel pressure acquisition module is used to acquire the roadbed reaction force signal. After receiving the acceleration signal and roadbed reaction force signal acquired by the environmental perception module, the central control unit uploads them to the cloud platform through the communication module.

2. The unmanned intelligent compaction system according to claim 1, characterized in that: The vibratory roller pressure acquisition module includes a pressure distribution sensor array built into the vibratory roller of the unmanned road roller, which collects the roadbed reaction force signal in real time when the vibratory roller is working.

3. The unmanned intelligent compaction system according to claim 2, characterized in that: The positioning module uses a combination of a dual-frequency RTK-GNSS receiver and a fiber optic inertial navigation system for positioning.

4. The unmanned intelligent compaction system according to claim 3, characterized in that: The communication module adopts a dual-link redundancy architecture of 5G-V2X and satellite communication.

5. The unmanned intelligent compaction system according to claim 4, characterized in that: The environmental perception module also includes an infrared thermal imager, which is used to collect thermal image signals of the road surface. After receiving the thermal image signals, the central control unit uploads them to the cloud platform through the communication module.

6. The unmanned intelligent compaction system according to claim 5, characterized in that: The environmental perception module also includes an obstacle avoidance radar array, which includes a forward main radar and a side auxiliary radar. The forward main radar detects the distance signals collected by the auxiliary radar and transmits them to the central control unit for processing.

7. The unmanned intelligent compaction system according to claim 1, characterized in that: It also includes a mobile terminal, which is wirelessly connected to the cloud platform. The mobile terminal includes a display module, and the cloud platform is also used to transmit the positioning signal and acceleration signal received from the unmanned road roller to the mobile terminal.

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