Patrol Temperature Detection Robot System and Patrol Temperature Detection Method

Abstract

This disclosure relates to the field of robotics, and more particularly to a patrol-type temperature detection robot system and a patrol-type temperature detection method. The patrol-type temperature detection robot system includes: a robot body; a perception and detection module, disposed on the robot body and configured to acquire environmental obstacle information, environmental signage information, and temperature information; a navigation and positioning module, disposed on the robot body and connected to the perception and detection module, configured to generate an environmental map and determine the position information of the robot body based on the environmental obstacle information and the environmental signage information; and a data communication module, disposed on the robot body and connected to the perception and detection module and the navigation and positioning module, configured to output the temperature information and the position information related to the temperature information.

Description

Technical Field

[0001] This disclosure relates to the field of robotics, and in particular to a temperature monitoring robot system and a temperature monitoring method. Background Technology

[0002] Aluminum electrolysis is the primary method for modern industrial production of primary aluminum. As one of the core components of electrolytic aluminum production, the operating status of the electrolytic cell directly determines the efficiency and energy consumption of primary aluminum production, making it the most crucial link in the industrial electrolytic aluminum process. Maintaining the long-term, stable operation of the electrolytic cell is not only fundamental for enterprises to improve economic efficiency but also a core requirement for ensuring the safety of the entire production line.

[0003] In the operation and maintenance of electrolytic production, regular inspections and real-time monitoring of the temperature status of the bottom of the aluminum electrolytic cell and the cathode steel rods are crucial, directly impacting production efficiency and equipment safety. However, the environment at the bottom of the aluminum electrolytic cell is harsh, including high temperatures, strong magnetic fields, and a low, confined space, and may even involve the volatilization of toxic gases. Traditional inspection methods heavily rely on manual entry into the cell bottom area, leading to low inspection efficiency, high labor intensity, and extremely high safety risks for operators. Furthermore, manual temperature measurement is susceptible to subjective interference, resulting in low measurement accuracy and poor data real-time performance, making it difficult to systematically review historical data and analyze trends, and hindering accurate prediction of equipment failures.

[0004] Therefore, there is an expectation for a temperature monitoring robot system that can solve at least one of the above-mentioned technical problems. Summary of the Invention

[0005] To address the aforementioned technical issues, this disclosure provides a patrol temperature detection robot system and a patrol temperature detection method.

[0006] On one hand, a temperature monitoring robot system is provided, comprising: a robot body; a perception and detection module disposed on the robot body and configured to acquire environmental obstacle information, environmental signage information, and temperature information; a navigation and positioning module disposed on the robot body and connected to the perception and detection module, configured to generate an environmental map and determine the position information of the robot body based on the environmental obstacle information and the environmental signage information; and a data communication module disposed on the robot body and connected to the perception and detection module and the navigation and positioning module, configured to output the temperature information and the position information related to the temperature information.

[0007] In one feasible embodiment, the robot body includes: a mobile chassis, the mobile chassis including a four-wheel steering and four-wheel drive structure; and a protective shell disposed on the mobile chassis, the protective shell including an antimagnetic and heat-insulating material.

[0008] In one feasible embodiment, the sensing and detection module includes: a lidar configured to scan the environment to obtain environmental obstacle information; a thermal imaging unit configured to collect the temperature of the bottom of the electrolytic cell and the cathode steel rod of the electrolytic cell to obtain the temperature information; and an industrial positioning camera configured to identify the identification code set in the electrolytic cell to obtain the environmental identification information.

[0009] In one feasible embodiment, the sensing and detection module further includes an alarm unit configured to output a first alarm message when the temperature information is greater than or equal to a first temperature threshold.

[0010] In one feasible embodiment, the navigation and positioning module is specifically configured to generate an environmental map and determine the position information of the robot body based on the real-time localization and mapping algorithm, the environmental obstacle information, and the environmental sign information.

[0011] In one feasible embodiment, it further includes: a cloud platform connected to the data communication module to receive the temperature information and the location information related to the temperature information, configured to output a second alarm message when the temperature of the bottom of the electrolytic cell represented by the temperature information is greater than or equal to a second temperature threshold.

[0012] In one feasible embodiment, the cloud platform is also configured to output inspection tasks.

[0013] In one feasible embodiment, the system further includes: an intelligent path planning module disposed on the robot body, the intelligent path planning module comprising: a global path planning unit configured to determine an inspection path based on the inspection task and a preset path algorithm; a local path planning unit configured to determine an obstacle avoidance path based on the environmental obstacle information; and the navigation and positioning module further configured to adjust the driving path of the robot body based on the obstacle avoidance path.

[0014] In one feasible embodiment, the system further includes: an autonomous charging module disposed on the robot body and configured to generate a charging signal when the battery level of the robot body is less than or equal to a battery threshold; the navigation and positioning module is configured to drive the robot body to move to a preset charging position based on the charging signal.

[0015] In one feasible embodiment, a patrol-based temperature detection method is provided, comprising: acquiring environmental obstacle information and environmental signage information through a sensing and detection module; generating an environmental map based on the environmental obstacle information and the environmental signage information and determining the position information of the robot body; collecting temperature information through the sensing and detection module; and outputting the temperature information and the position information related to the temperature information to a cloud platform.

[0016] The technical solution provided in this disclosure has the following advantages compared with the prior art: The temperature monitoring robot system provided in this disclosure uses the robot itself to enter high-risk areas with high temperatures, strong magnetic fields, and confined spaces to conduct temperature monitoring, fundamentally eliminating personnel safety risks. Furthermore, by utilizing the robot's high mobility and continuous operation, it achieves comprehensive coverage of the inspection range and significantly shortens the single inspection cycle. While improving the timeliness of inspection operations, it ensures the real-time nature and completeness of temperature measurement data, effectively solving the technical pain points of low efficiency and low data accuracy in traditional manual inspections. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0018] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a structural schematic diagram of a temperature monitoring robot system provided according to some embodiments; Figure 2 This is a structural schematic diagram of a robot body provided according to some embodiments; Figure 3 This is a schematic diagram of the structure of a sensing and detection module according to some embodiments; Figure 4 This is a structural schematic diagram of an intelligent path planning module according to some embodiments; Figure 5 This is a flowchart illustrating a temperature monitoring method according to some embodiments. Detailed Implementation

[0020] To better understand the above-mentioned objectives, features, and advantages of this disclosure, the solutions disclosed herein will be further described below. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0021] Numerous specific details are set forth in the following description in order to provide a full understanding of this disclosure, but this disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only some, and not all, of the embodiments of this disclosure.

[0022] In this document, the use of "configured to" implies open and inclusive language, which does not exclude devices configured to perform additional tasks or steps. In describing some embodiments, the term "connected" and its derivative expressions may be used. For example, the term "connected" may be used in describing some embodiments to indicate that two or more components have direct physical or electrical contact with each other. "At least one of A, B, and C" has the same meaning as "at least one of A, B, or C," both including combinations of the following A, B, and C: A only, B only, C only, a combination of A and B, a combination of A and C, a combination of B and C, and a combination of A, B, and C.

[0023] Unless the context otherwise requires, throughout the specification and claims, the term "comprise" and its other forms, such as the third-person singular "comprises" and the present participle "comprising," are interpreted as open-ended and encompassing, meaning "including, but not limited to." In the description of the specification, terms such as "one embodiment," "some embodiments," "exemplary embodiments," "example," "specific example," or "some examples," etc., are intended to indicate that a particular feature, structure, material, or characteristic associated with that embodiment or example is included in at least one embodiment or example of this disclosure. The illustrative representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics mentioned may be included in any suitable manner in any one or more embodiments or examples.

[0024] 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 technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of embodiments of this disclosure, unless otherwise stated, "a plurality of" means two or more. The use of "based on" implies openness and inclusivity, because processes, steps, calculations, or other actions "based on" one or more of the stated conditions or values ​​may in practice be based on additional conditions or values ​​beyond those stated.

[0025] Aluminum electrolysis is the main method of modern industrial production of primary aluminum. As one of the core components of aluminum electrolysis production, it is of great significance to conduct regular inspections and real-time monitoring of information such as the temperature status of the aluminum electrolysis cell, especially the bottom of the cell and the cathode steel rod, which directly affects production efficiency and equipment safety.

[0026] Most inspection robots in related technologies are suitable for conventional industrial environments. However, under special requirements such as strong magnetic fields at the bottom of electrolytic cells and space constraints, inspection robots suffer from problems such as positioning drift, weak sensor anti-interference ability, low temperature measurement accuracy, and unsuitable path planning, making it difficult to meet the inspection needs of the bottom of electrolytic cells.

[0027] In view of this, the present disclosure provides a patrol temperature detection robot system, such as Figure 1 As shown. Figure 1 This is a structural schematic diagram of a temperature monitoring robot system provided according to some embodiments.

[0028] The temperature monitoring robot system 100 includes a robot body 110, a sensing and detection module 120, a navigation and positioning module 130, and a data communication module 140.

[0029] The perception and detection module 120 is mounted on the robot body 110 and is configured to acquire environmental obstacle information, environmental sign information and temperature information.

[0030] The navigation and positioning module 130 is mounted on the robot body 110 and connected to the perception and detection module 120. The navigation and positioning module 130 is configured to generate an environmental map and determine the position information of the robot body 110 based on environmental obstacle information and environmental sign information.

[0031] The data communication module 140 is mounted on the robot body 110 and connected to the perception and detection module 120 and the navigation and positioning module 130. The data communication module 140 is configured to output temperature information and position information related to the temperature information. The position information related to the temperature information is, for example, the position information of the robot body 110 when the temperature information is acquired.

[0032] In some embodiments, the data communication module 140 is configured to process historical inspection data by time, location, or device dimension. The inspection data includes, for example, temperature information, location information, first alarm information, and second alarm information.

[0033] For example, the data communication module 140 supports the next-generation robot operating system (ROS2) architecture, which adopts the data distribution service (DDS) and the message queue telemetry transport (MQTT) protocol, supports stable Wi-Fi or 4G network connection, and uploads data such as temperature information and location information to the cloud platform 150 in real time. It also supports the reception and display of messages from terminal device applications to realize remote task scheduling.

[0034] In some embodiments, the robot body 110 of the temperature inspection robot system 100 can enter high-risk areas to perform inspection tasks under the condition that the height of the driving space is less than or equal to 80cm and the width is less than or equal to 120cm, which significantly improves inspection efficiency and safety and provides reliable data support for electrolytic aluminum production and maintenance.

[0035] The temperature monitoring robot system 100 provided in this embodiment uses the robot body 110 to enter high-risk areas with high temperatures, strong magnetic fields, and confined spaces for temperature monitoring, fundamentally eliminating personnel safety risks. Furthermore, by utilizing the high mobility and continuous operation of the robot body 110, comprehensive coverage of the inspection range is achieved, and the single inspection cycle is significantly shortened. While improving the timeliness of inspection operations, it ensures the real-time nature and completeness of temperature measurement data, effectively solving the technical pain points of low efficiency and low data accuracy in traditional manual inspections.

[0036] In some embodiments, the robot body 110 includes a mobile chassis 111 and a protective shell 112, such as Figure 2 As shown, Figure 2 This is a structural schematic diagram of a robot body provided according to some embodiments.

[0037] The mobile chassis 111 includes a four-wheel steering and four-wheel drive structure to adapt to the rough path of the electrolytic cell bottom. The mobile chassis 111 is, for example, selected from a drive-by-wire chassis.

[0038] For example, the moving speed of the mobile chassis 111 is greater than or equal to 0.1 m / s and less than or equal to 0.3 m / s. The maximum gradeability of the mobile chassis 111 is less than or equal to 3%. The minimum turning radius of the mobile chassis 111 meets the zero-radius steering requirement.

[0039] The protective housing 112 is mounted on the mobile chassis 111. The protective housing 112 includes antimagnetic material, enabling it to operate in a magnetic field environment of 40 Gs-194.7 Gs and stably operate in an environment where the magnetic field change is less than or equal to 20 Gs. In addition, the protective housing 112 also includes heat insulation material, enabling the robot body 110 to operate stably in the high-temperature environment at the bottom of the electrolytic cell.

[0040] In some embodiments, the robot body 110 further includes a power supply unit, which is selected from a 48V / 20Ah lithium battery with a rated power of 960W. After assembling the power supply unit, the robot body 110 has a single full charge endurance of greater than or equal to 2 hours.

[0041] In some embodiments, the driving conditions of the robot body 110 are as follows: visibility is greater than or equal to 200m and less than or equal to 300m; in low light environment, the robot body 110 also includes a supplementary lighting device; the road surface is dry and flat, free of obstacles such as gravel, water accumulation, snow accumulation, ice, potholes, etc.; there are no hanging power lines or other debris above the road; the working area is a non-traffic area to avoid collisions with other vehicles or pedestrians.

[0042] In some embodiments, the perception and detection module 120 includes a lidar 121, a thermal imaging unit 122, and an industrial positioning camera 123, such as Figure 3 As shown, Figure 3 This is a schematic diagram of the structure of a perception and detection module provided according to some embodiments.

[0043] The lidar 121 is configured to scan the environment to obtain information about environmental obstacles. The lidar 121 is, for example, selected from a 16-line lidar, with an obstacle detection accuracy greater than or equal to 20cm, a false detection / false detection rate of less than 5%, and the ability to stably identify obstacles with a height greater than or equal to 20cm.

[0044] The thermal imaging unit 122 is configured to acquire temperature information by collecting data from the bottom of the electrolytic cell and the cathode steel rod. The thermal imaging unit 122 is, for example, selected from a binocular infrared thermal imaging pan-tilt camera, to perform non-contact temperature measurement using infrared thermal imaging, effectively improving the accuracy of the acquired temperature information.

[0045] The industrial positioning camera 123 is configured to identify an identification code located in the electrolytic cell to obtain environmental identification information. The identification code may be, for example, a QR code.

[0046] In some embodiments, continue reading Figure 3 The sensing and detection module 120 also includes an alarm unit 124, which is configured to output a first alarm message when the temperature information is greater than or equal to a first temperature threshold. The first alarm message may include, for example, a buzzer alarm and a flashing light alarm.

[0047] In some embodiments, the navigation and positioning module 130 is specifically configured to generate an environmental map and determine the position information of the robot body 110 based on a real-time localization and mapping algorithm, environmental obstacle information, and environmental signage information. The real-time localization and mapping algorithm includes Simultaneous Localization and Mapping (SLAM).

[0048] For example, the navigation and positioning module 130 is based on real-time positioning and map building algorithms, integrates point cloud data from lidar 121 and QR code identification from industrial positioning camera 123, and can build or correct environmental maps and achieve autonomous and accurate positioning of robot body 110, effectively suppressing positioning drift in strong magnetic environment and improving the accuracy of robot body 110 position information.

[0049] The temperature monitoring robot system 100 utilizes multi-sensor fusion to ensure that its temperature measurement error is controlled within ±7°C, improving the consistency and reliability of the temperature measurement data and effectively avoiding problems such as false detections, missed detections, and large data errors that exist in manual inspection. Simultaneously, by combining the analysis of environmental QR code markings by the industrial positioning camera 123 with real-time localization and mapping algorithms, the positioning accuracy of the robot body 110 is significantly improved; its positioning accuracy can reach ±5cm, ensuring that 110 can accurately execute preset path tasks in complex industrial environments and providing a high-precision position reference for the spatial mapping of temperature measurement data.

[0050] In some embodiments, see Figure 1 The temperature monitoring robot system 100 also includes a cloud platform 150, which is connected to a data communication module 140 to receive temperature information and location information related to that temperature information. The cloud platform 150 is configured to output a second alarm message when the temperature at the bottom of the electrolytic cell, as represented by the temperature information, is greater than or equal to a second temperature threshold. The second temperature threshold may be the same as or different from the first temperature threshold.

[0051] For example, the second temperature threshold is greater than the first temperature threshold.

[0052] In some embodiments, the cloud platform 150 is also configured to have at least one of the following functions: importing custom maps, real-time position tracking of the robot body 110, generating temperature trend charts based on historical inspection data, exporting temperature information, and generating alarm frequency statistics tables.

[0053] In some embodiments, the cloud platform 150 is also configured to output inspection tasks. The data communication module 140 is also configured to receive inspection tasks output by the cloud platform 150.

[0054] Through bidirectional real-time communication between the cloud platform 150 and the robot body 110, the temperature inspection robot system 100 constructs a full-link intelligent management architecture encompassing remote task scheduling, real-time data transmission, immediate anomaly warning, and in-depth historical data analysis. This architecture supports the automatic generation of visualized analysis results such as temperature change trend charts and statistical reports. It not only achieves remote closed-loop control of the inspection process but also provides a scientific data-driven decision-making basis for predictive maintenance and process optimization of electrolytic aluminum production equipment through long-term mining of multi-dimensional data.

[0055] In some embodiments, the temperature detection robot system 100 further includes an intelligent path planning module 160, which is configured to determine the inspection path based on the inspection task and a preset path algorithm, and to determine the obstacle avoidance path based on environmental obstacle information.

[0056] In this embodiment, the navigation and positioning module 130 is also configured to adjust the travel path of the robot body 110 based on the obstacle avoidance path.

[0057] In some embodiments, the intelligent path planning module 160 includes a global path planning unit 161 and a local path planning unit 162, such as... Figure 4 As shown. Figure 4 This is a schematic diagram of the structure of an intelligent path planning module according to some embodiments.

[0058] The global path planning unit 161 is configured to determine the inspection path based on the inspection task and the preset path algorithm.

[0059] The local path planning unit 162 is configured to determine obstacle avoidance paths based on environmental obstacle information. In conjunction with the navigation and positioning module 130, the local path planning unit 162 can dynamically adjust the travel path of the robot body 110 to avoid obstacles based on the real-time perception results of the perception and detection module 120, so that the robot body 110 can adapt to the complex passage path at the bottom of the electrolytic cell to ensure the continuity of the inspection task.

[0060] The temperature monitoring robot system 100 disclosed herein integrates active safety strategies such as audible and visual alarms and multi-sensor obstacle avoidance, constructing a multi-dimensional protection mechanism covering the robot body 110 and its operating environment to ensure operational safety in complex and high-risk scenarios. By integrating autonomous navigation, intelligent charging, and remote scheduling functions, the temperature monitoring robot system 100 achieves fully automated closed-loop operation and maintenance, significantly reducing the cost and labor intensity of manual operation and maintenance. Furthermore, based on trend analysis of historical inspection data, the temperature monitoring robot system 100 can perform predictive maintenance of the electrolytic cell status, assisting managers in identifying potential faults in advance, thereby effectively reducing unplanned downtime and synergistically optimizing production efficiency and equipment availability.

[0061] In some embodiments, continue reading Figure 1 The temperature monitoring robot system 100 also includes an autonomous charging module 170, which is configured to generate a charging signal when the battery level of the robot body 110 is less than or equal to a battery threshold.

[0062] The navigation and positioning module 130 is also configured to drive the robot body 110 to a preset charging position based on a charging signal. A charging unit is located at the preset position, and after the robot body 110 moves to the preset charging position, it connects to the charging unit to perform a charging operation. For example, the charging unit charges the power supply unit of the robot body 110.

[0063] This disclosure also provides a method for temperature monitoring, see [reference]. Figure 5 This is a flowchart illustrating a temperature monitoring method according to some embodiments. This method can, for example, be applied to the temperature monitoring robot system 100 provided in any embodiment of any aspect above. Figure 5 As shown, the temperature monitoring method includes the following steps: S501. Obtain environmental obstacle information and environmental signage information through the perception and detection module.

[0064] S502. Generate an environmental map based on environmental obstacle information and environmental signage information, and determine the position information of the robot body.

[0065] S503: Temperature information is collected through the sensing and detection module.

[0066] S504. Output the temperature information and the location information related to the temperature information to the cloud platform.

[0067] This disclosure also provides another patrol-based temperature detection method, which can be applied, for example, to the patrol-based temperature detection robot system 100 provided in any of the embodiments of any of the above aspects. The patrol-based temperature detection method includes the following steps: S601, Temperature Measurement Point Acquisition: Acquire the coordinates and camera parameters of at least one temperature measurement point. The temperature measurement point must be located at least at the bottom of the electrolytic cell and on the cathode steel rod.

[0068] For example, the coordinates of each temperature measurement point and camera parameters can be pre-collected using simulation tools.

[0069] S602, Inspection Task Initialization: Initialize the inspection temperature detection robot system 100. The initialization settings include at least one of the following: acquiring the environmental map generated by the cloud platform, setting the inspection start point, inspection end point and inspection path, setting the first temperature threshold and the second temperature threshold, sensor calibration and system self-test of the inspection temperature detection robot system 100, and the navigation and positioning module 130 completing the initial positioning of the robot body 110 based on the real-time localization and map building algorithm.

[0070] S603, Autonomous Inspection of Robot Body 110: The global path planning unit 161 determines the inspection path based on the preset path algorithm and the inspection task generated by the cloud platform. During the movement of the robot body 110, the lidar 121 of the perception and detection module 120 scans in real time to obtain environmental obstacle information, and the navigation and positioning module 130 updates the environmental map based on the environmental obstacle information and the real-time positioning and mapping algorithm. The local path planning unit 162 determines the obstacle avoidance path based on the environmental obstacle information, and the navigation and positioning module 130 adjusts the driving path of the robot body 110 based on the obstacle avoidance path.

[0071] For example, the obstacle avoidance response time of the robot body 110 is less than or equal to 150ms.

[0072] S604. Temperature Detection: The thermal imaging unit 122 of the sensing and detection module 120 collects temperature information of the bottom of the electrolytic cell and the cathode steel rod in real time. The industrial positioning camera 123 of the sensing and detection module 120 identifies the identification code set in the electrolytic cell to obtain environmental identification information, so that the navigation and positioning module 130 can calibrate the position information of the robot body 110 based on the environmental obstacle information and environmental identification information. The data communication module 140 binds the temperature information and the position information related to the temperature information and outputs it to the cloud platform 150.

[0073] In some embodiments, the steps in S603 where the local path planning unit 162 determines an obstacle avoidance path based on environmental obstacle information, and the navigation and positioning module 130 adjusts the travel path of the robot body 110 based on the obstacle avoidance path, do not have a specific order with the temperature detection step in S604. This order can be flexibly adjusted according to the actual application scenario. For example, the steps in S603 where the local path planning unit 162 determines an obstacle avoidance path based on environmental obstacle information, and the navigation and positioning module 130 adjusts the travel path of the robot body 110 based on the obstacle avoidance path, can be executed before, after, or in parallel with the temperature detection step in S604.

[0074] S605, Anomaly Reporting: When the temperature information acquired by the sensing and detection module 120 is greater than or equal to the first temperature threshold, the alarm unit 124 of the sensing and detection module 120 outputs a first alarm message. The cloud platform 150 pushes an alarm message based on the first alarm message. The robot body 110 records the temperature information and location information corresponding to the first alarm message. The alarm message includes, for example, at least one of the following: highlighting the area corresponding to the first alarm message in red on a display device, or pushing the first alarm message to a terminal device.

[0075] In some embodiments, S605 further includes: outputting second alarm information when the temperature of the bottom of the electrolytic cell, as represented by the temperature information obtained from the cloud platform 150, is greater than or equal to a second temperature threshold.

[0076] In some embodiments, the temperature monitoring method further includes: S606. When the battery level of the robot body 110 is less than or equal to the battery level threshold, a charging signal is generated, and the navigation and positioning module 130 drives the robot body 110 to move to the preset charging position based on the charging signal.

[0077] In some embodiments, the temperature monitoring method further includes: S607. Store the inspection data in the cloud platform 150. The inspection data includes temperature information, location information, first alarm information and second alarm information, etc., to generate temperature change trend chart, alarm frequency statistics table, etc.

[0078] The above description is merely a specific embodiment of this disclosure, enabling those skilled in the art to understand or implement it. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this disclosure. Therefore, this disclosure is not to be limited to the embodiments described herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A temperature monitoring robot system, characterized in that, include: The robot itself; The perception and detection module is installed on the robot body and is configured to acquire environmental obstacle information, environmental sign information, and temperature information. A navigation and positioning module, mounted on the robot body and connected to the perception and detection module, is configured to generate an environmental map and determine the position information of the robot body based on the environmental obstacle information and the environmental sign information. A data communication module, located on the robot body and connected to the perception and detection module and the navigation and positioning module, is configured to output the temperature information and the location information related to the temperature information.

2. The temperature monitoring robot system according to claim 1, characterized in that, The robot body includes: A mobile chassis, the mobile chassis including a four-wheel steering and four-wheel drive structure; A protective outer shell is disposed on the mobile chassis, and the protective outer shell includes antimagnetic and heat-insulating materials.

3. The temperature monitoring robot system according to claim 1, characterized in that, The sensing and detection module includes: A lidar is configured to scan the environment to obtain information about environmental obstacles; The thermal imaging unit is configured to acquire the temperature of the bottom of the electrolytic cell and the cathode steel rod of the electrolytic cell to obtain the temperature information. An industrial positioning camera is configured to identify identification codes located in an electrolytic cell to obtain the environmental identification information.

4. The temperature monitoring robot system according to claim 1, characterized in that, The sensing and detection module also includes: The alarm unit is configured to output a first alarm message when the temperature information is greater than or equal to a first temperature threshold.

5. The temperature monitoring robot system according to claim 1, characterized in that, The navigation and positioning module is specifically configured to generate an environmental map and determine the position information of the robot body based on the real-time positioning and map building algorithm, the environmental obstacle information, and the environmental sign information.

6. The temperature monitoring robot system according to claim 1, characterized in that, Also includes: The cloud platform, connected to the data communication module to receive the temperature information and the location information related to the temperature information, is configured to output a second alarm message when the temperature at the bottom of the electrolytic cell, as represented by the temperature information, is greater than or equal to a second temperature threshold.

7. The temperature monitoring robot system according to claim 6, characterized in that, The cloud platform is also configured to output inspection tasks.

8. The temperature monitoring robot system according to claim 7, characterized in that, Also includes: An intelligent path planning module is installed on the robot body, the intelligent path planning module includes: The global path planning unit is configured to determine the inspection path based on the inspection task and the preset path algorithm; The local path planning unit is configured to determine an obstacle avoidance path based on the environmental obstacle information; The navigation and positioning module is also configured to adjust the robot's travel path based on the obstacle avoidance path.

9. The temperature monitoring robot system according to claim 1, characterized in that, Also includes: An autonomous charging module, mounted on the robot body, is configured to generate a charging signal when the robot body's battery level is less than or equal to a battery threshold. The navigation and positioning module is configured to drive the robot body to move to a preset charging position based on the charging signal.

10. A method for monitoring temperature, characterized in that, include: The sensing and detection module acquires information about environmental obstacles and environmental signs. An environmental map is generated based on the environmental obstacle information and the environmental sign information, and the position information of the robot body is determined. Temperature information is collected through the sensing and detection module; The temperature information and the location information related to the temperature information are output to the cloud platform.

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