Intelligent exhibition hall inspection robot system

By introducing detachable external components into the smart exhibition hall inspection robot system, the problems of high cost and fixed functions of existing inspection robots are solved, achieving a balance between economy and functionality, and meeting personalized expansion needs.

CN224940042UActive Publication Date: 2026-11-06FUJIAN FUNO MOBILE COMM TECH CO LTD
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Patent Information

Application Number
CN202522483337.9
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2025-11-24
Publication Date
2026-11-06
Estimated Expiration
2035-11-24

AI Technical Summary

Technical Problem

Existing smart exhibition hall inspection robot systems are costly and have fixed functions, failing to combine economy and functionality, and unable to meet personalized expansion needs.

Method used

Design a smart exhibition hall inspection robot system, which uses detachable external components including a lidar sensor, image acquisition device, sound acquisition device and sound and light alarm device, and realizes functional expansion and replacement through electrical connection.

Benefits of technology

It enables on-demand selection and free replacement of external components, reducing costs, improving the system's economy and functionality, and meeting personalized expansion needs.

✦ Generated by Eureka AI based on patent content.

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Abstract

This utility model relates to a smart exhibition hall inspection robot system, including an inspection robot and external components. The external components include a lidar sensor, an image acquisition device, a sound acquisition device, and an audible and visual alarm device. The lidar sensor, image acquisition device, sound acquisition device, and audible and visual alarm device are detachably electrically connected to the inspection robot. By externalizing the lidar sensor, image acquisition device, sound acquisition device, and audible and visual alarm device, this utility model allows users to select suitable external components for expansion as needed. Furthermore, users can freely replace the external components without replacing the inspection robot itself, thus making automated inspection both economical and functional.
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Description

Technical Field

[0001] This utility model relates to the field of robotics, and in particular to a smart exhibition hall inspection robot system. Background Technology

[0002] Smart exhibition halls are typically used to receive important clients, so the stability of their equipment and the security of the content they play are of paramount importance. Currently, manual inspections are mainly used to identify potential problems in advance. However, this method has drawbacks such as the significant impact of human factors, the ease of missing inspections, and high inspection costs. In particular, large exhibition halls cannot be inspected regularly and along fixed routes, which creates potential safety hazards.

[0003] Based on this, smart exhibition halls are now using inspection robots for automated inspections. However, the functions of inspection robots are fixed at the factory. If an extended function is needed or an existing function is updated, a new inspection robot needs to be purchased, resulting in excessive costs. Therefore, existing automated inspections cannot be both economical and functional. Utility Model Content

[0004] The technical problem to be solved by this utility model is: to provide a smart exhibition hall inspection robot system that makes automatic inspection both economical and functional.

[0005] To solve the above-mentioned technical problems, the technical solution adopted by this utility model is as follows: In the first aspect, this utility model provides a smart exhibition hall inspection robot system, including an inspection robot and external components, wherein the external components include a lidar sensor, an image acquisition device, a sound acquisition device, and an audible and visual alarm device; The lidar sensor, the image acquisition device, the sound acquisition device, and the sound and light alarm device are detachably electrically connected to the inspection robot.

[0006] The beneficial effects of this utility model are as follows: by connecting the lidar sensor, image acquisition device, sound acquisition device and sound and light alarm device to the outside, on the one hand, users can choose appropriate external components to expand as needed, and on the other hand, users can also freely replace the external components without replacing the inspection robot itself, thus making automatic inspection both economical and functional.

[0007] Optionally, the lidar sensor is mounted on the front end of the two legs of the inspection robot and electrically connected to the RS485 interface of the inspection robot.

[0008] Optionally, the image acquisition device is installed at the front end of the head of the inspection robot and electrically connected to the first RJ45 interface of the inspection robot.

[0009] Optionally, the sound acquisition device is installed on the head of the inspection robot and electrically connected to the second RJ45 interface of the inspection robot.

[0010] Optionally, the audible and visual alarm device is installed on the back of the inspection robot and electrically connected to the input / output port of the inspection robot.

[0011] Optionally, the inspection robot includes a robot body, a main control module, an inspection module, a SLAM map building module, and a path navigation module. The main control module is electrically connected to the robot body, the inspection module, the SLAM map building module, and the path navigation module, respectively. The robot body is connected to the inspection module, the SLAM map building module, and the path navigation module. Attached Figure Description

[0012] Figure 1 This is a schematic diagram of the overall framework of a smart exhibition hall inspection robot system according to this utility model.

[0013] Explanation of reference numerals in the attached figures: 1. Inspection robot; 11. Main control module; 13. Robot body; 14. Inspection module; 15. SLAM map building module; 16. Path navigation module; 2. External components; 21. LiDAR sensor; 22. Image acquisition device; 23. Sound acquisition device; 24. Sound and light alarm device. Detailed Implementation

[0014] To better understand the above technical solutions, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that the present invention can be understood more clearly and thoroughly, and that the scope of the present invention can be fully conveyed to those skilled in the art.

[0015] Reference Figure 1 This utility model proposes a smart exhibition hall inspection robot system, which includes an inspection robot 1 and an external component 2. The external component 2 includes a lidar sensor 21, an image acquisition device 22, a sound acquisition device 23, and an audible and visual alarm device 24. The lidar sensor 21, the image acquisition device 22, the sound acquisition device 23, and the audible and visual alarm device 24 are detachably electrically connected to the inspection robot 1.

[0016] In one example, the inspection robot 1 includes a robot body 13, a main control module 11, an inspection module 14, a SLAM map building module 15, and a path navigation module 16. The main control module 11 is electrically connected to the robot body 13, the inspection module 14, the SLAM map building module 15, and the path navigation module 16, respectively. The robot body 13 is connected to the inspection module 14, the SLAM map building module 15, and the path navigation module 16. Specifically: (1) Robot body 13: used to walk the daily inspection route and perform inspection tasks. The robot body 13 is a full-size humanoid bipedal robot with dimensions of 169×75×30cm; active degrees of freedom: 7×2DOF for both arms, 6×2DOF for both legs, 2DOF for the head, and 6×2DOF for the dexterous hand; maximum movement speed of 0.8m / s; battery capacity: 700w•h; battery life: 2h.

[0017] (2) Main control module 11: used to control the operation, inspection, mapping and navigation of the robot body 13, inspection module 14, SLAM map building module 15 and path navigation module 16.

[0018] (3) Inspection module 14: used to inspect whether the exhibition hall equipment is operating normally; inspect whether the content played in the exhibition hall is correct; match the inspection data of the inspection robot 1 to detect whether the exhibition hall equipment and display content are normal; record each inspection situation and equipment operation status; output inspection report and abnormal alarm.

[0019] (4) SLAM map building module 15: used to build a map of the exhibition hall environment in which the robot walks. It scans the map using the lidar sensor 21 to ensure the integrity of the map building and finally presents the scanned complete map in the map interface.

[0020] (5) Path navigation module 16: Based on the map built by SLAM (Simultaneous Localization and Mapping), it is used to set the robot inspection route and the inspection points of the exhibits. The positioning accuracy is ±10cm, ±10°, and it supports autonomous navigation and obstacle avoidance.

[0021] In one example, the LiDAR sensor 21 is mounted on the front of the legs of the inspection robot 1 and electrically connected to the RS485 interface of the inspection robot 1. Specifically, the LiDAR sensor 21 is used to scan the exhibition hall area and create an exhibition hall map. It uses a high-precision LiDAR with a range of 0.05-5M, outputs RS485, is mounted on the front of the legs of the inspection robot 1, and is connected to the RS485 interface of the inspection robot 1 via an RVVP 2×1.0 cable. The connection between the LiDAR sensor 21 and the inspection robot 1 is achieved by setting the baud rate and port number of the LiDAR sensor 21.

[0022] In one example, the image acquisition device 22 is mounted on the front end of the head of the inspection robot 1 and electrically connected to the first RJ45 interface of the inspection robot 1. Specifically, the image acquisition device 22 is used to acquire the image from the robot's current perspective. It is a high-definition network PTZ camera, mounted on the front end of the head of the inspection robot 1, and connected to the RJ45 interface of the inspection robot 1 via a Cat6 network cable. The connection between the image acquisition device 22 and the inspection robot 1 is achieved by setting the IP address and a preset position based on the exhibit positioning.

[0023] In one example, the sound acquisition device 23 is mounted on the head of the inspection robot 1 and electrically connected to the second RJ45 interface of the inspection robot 1. Specifically, the sound acquisition device 23 is used to acquire the sound of the robot's current environment. It uses an omnidirectional microphone, is mounted on the robot's head, and is connected to the RJ45 interface of the inspection robot 1 via a Cat6 network cable. The connection between the sound acquisition device 23 and the inspection robot 1 is achieved by setting an IP address.

[0024] In one example, the audible and visual alarm device 24 is mounted on the back of the inspection robot 1 and electrically connected to the input / output port of the inspection robot 1. Specifically, the audible and visual alarm device 24 is used to issue an alarm in case of an anomaly. It adopts an LED audible and visual alarm, is mounted on the back of the robot, and is connected to the input / output port of the inspection robot 1 through an RVV2×1.0 cable. The connection between the audible and visual alarm device 24 and the inspection robot 1 is realized by setting a trigger action.

[0025] Therefore, based on the above examples, the operation process is as follows: 1. The entire exhibition hall area is scanned by the LiDAR sensor 21 to establish navigation points for the robot's inspection route and exhibit locations, and a complete map of the exhibition hall is constructed using the SLAM map building module 15. Within the exhibition hall map, the robot's inspection route, exhibit inspection points, and inspection plan are set using the path navigation module 16.

[0026] 2. When the inspection robot 1 performs an inspection, the robot body 13 first moves along the inspection route. According to the inspection plan of the inspection module 14, it stops at the inspection point of the exhibit and confirms the position of the robot again through the image acquisition device 22.

[0027] 3. After confirming the exhibit's location, the image acquisition device 22 captures images of the exhibit's appearance and compares them with the inspection module 14 to check if the appearance is normal. If so, the exhibit content is played. The image acquisition device 22 extracts frames every 30 seconds and compares them with the inspection system. If the extracted frames match, the exhibit is considered normal; otherwise, it's considered an inspection anomaly. During the exhibit playback, the audio acquisition device 23 captures the narration and converts it to text. This text is then compared with the narration in the inspection module 14. If the matching rate is ≥95%, the audio inspection is normal; otherwise, it's considered an inspection anomaly. After the exhibit playback ends, the inspection robot 1 moves to the next exhibit location for inspection.

[0028] 4. After the inspection robot 1 finishes its inspection, the inspection module 14 outputs an inspection report. When an abnormality occurs during the inspection process, a warning is issued in a timely manner through the sound and light alarm device 24, prompting relevant personnel to conduct a secondary inspection.

[0029] It should be noted that the modules involved in this utility model are all existing, relatively mature products. The algorithms and software used in conjunction with them can be existing and mature, and no methodological improvements are involved. The improvement of this utility model lies in the detachable external component 2. The external component 2 is connected to the inspection robot 1 via cables. On the one hand, users can select the appropriate external component 2 as needed to expand the functionality. On the other hand, users can also freely replace the external component 2 without replacing the inspection robot 1 itself, thus making the automatic inspection both economical and functional.

[0030] In the description of this utility model, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this utility model, "a plurality of" means two or more, unless otherwise explicitly specified.

[0031] In this utility model, unless otherwise explicitly specified and limited, the terms "installation," "connection," "joining," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in this utility model can be understood according to the specific circumstances.

[0032] In this utility model, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "on top of," and "over" the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "beneath" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0033] In the description of this specification, the terms "one embodiment," "some embodiments," "embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0034] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make modifications, alterations, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A smart exhibition hall inspection robot system, characterized in that, It includes an inspection robot and external components, the external components including a lidar sensor, an image acquisition device, a sound acquisition device, and an audible and visual alarm device; The lidar sensor, the image acquisition device, the sound acquisition device, and the sound and light alarm device are detachably electrically connected to the inspection robot.

2. The intelligent exhibition hall inspection robot system as described in claim 1, characterized in that, The lidar sensor is mounted on the front of the two legs of the inspection robot and is electrically connected to the RS485 interface of the inspection robot.

3. The intelligent exhibition hall inspection robot system as described in claim 1, characterized in that, The image acquisition device is installed at the front end of the inspection robot's head and is electrically connected to the inspection robot's first RJ45 interface.

4. The intelligent exhibition hall inspection robot system as described in claim 3, characterized in that, The sound acquisition device is installed on the head of the inspection robot and is electrically connected to the second RJ45 interface of the inspection robot.

5. The intelligent exhibition hall inspection robot system as described in claim 1, characterized in that, The audible and visual alarm device is installed on the back of the inspection robot and is electrically connected to the input / output port of the inspection robot.

6. A smart exhibition hall inspection robot system as described in any one of claims 1 to 5, characterized in that, The inspection robot includes a robot body, a main control module, an inspection module, a SLAM map building module, and a path navigation module. The main control module is electrically connected to the robot body, the inspection module, the SLAM map building module, and the path navigation module, respectively. The robot body is connected to the inspection module, the SLAM map building module, and the path navigation module.