Multifunctional robot capable of intelligently recognizing equipment operation state and conducting maintenance early warning

Abstract

The invention discloses a multifunctional robot capable of intelligently identifying the running state of equipment and performing maintenance early warning, which comprises a robot body, an intelligent analysis early warning module is arranged in the robot body, moving wheels are mounted at the bottom of the robot body, and an auxiliary moving assembly is arranged at the bottom of the robot body. The invention relates to the technical field of robots. According to the multifunctional robot capable of intelligently recognizing the running state of the equipment and conducting maintenance early warning, through the arrangement of the protection mechanism and the combined design of a buffer spring and a protection plate, collision energy is effectively absorbed, damage of external impact to the robot is reduced, and the reliability of the equipment is improved; through multi-sensor data fusion and intelligent algorithm analysis, automatic identification, fault diagnosis and maintenance early warning of the equipment operation state are achieved, meanwhile, the terrain judgment function is integrated, and the autonomous working capacity and the intelligent level of the robot are improved.

Description

Technical Field

[0001] The present invention relates to the field of robot technology, and in particular to a multifunctional robot capable of intelligently identifying the operating status of equipment and providing maintenance warnings. Background Art

[0002] The reference patent name is: A patrol robot (authorization announcement number: CN221871985U, authorization announcement date: 2024.10.22), including a drive box, a mounting plate is provided on the top of the drive box, and a rotatable camera device is installed on the top of the mounting plate, mounting frames are provided on both sides of the drive box, and three sets of moving wheels are equidistantly installed at the bottom of the mounting frame, and two sets of auxiliary wheels are symmetrically provided at the tail end of the drive box. Under the action of the telescopic plate, a telescopic plate is provided on the other side of the bottom of the mounting plate for support, thereby enhancing the stability of the mounting plate after it is raised. Compared with the existing technology, it is convenient to raise the height of the mounting plate and the camera device, and move the mounting plate to the middle position between the drive box and the auxiliary wheels. By changing the two sides and the center of gravity of the bottom of the mounting plate, the body length of the device is increased, and the first electric push rod drives the two sets of moving wheels to move toward the outside of the drive wheel, increasing the lateral area of ​​the device, thereby maintaining the overall stability of the device after the camera device is raised, and avoiding the occurrence of tipping and shaking problems.

[0003] Based on what is stated in the above document: In the industrial production process, the stable operation of various equipment is the key to ensuring production efficiency and safety. Traditional equipment status monitoring mainly relies on manual inspections, which have problems such as high labor intensity, long detection cycle, and great influence from human factors. It is difficult to detect potential equipment failures in real time and issue timely warnings. Some robots for equipment inspection have also appeared in the existing technology, but these robots generally have the following shortcomings: traditional robots mostly adopt a single wheeled or tracked structure. Wheeled robots are prone to slipping on complex terrains such as slopes and uneven surfaces. Although tracked robots have good passability, they have low movement efficiency and high energy consumption on flat roads; existing robots generally adopt rigid shells or simple buffer structures. When colliding at industrial sites (such as accidental contact with pipelines and equipment), core components such as sensors and drive units are easily damaged due to excessive impact force; they lack intelligent data analysis and early warning capabilities, and can only collect data but not perform fault diagnosis and maintenance early warning; the environmental perception means are single, and the terrain adaptability needs to be improved. For this reason, the present invention provides a multifunctional robot that can intelligently identify the operating status of equipment and issue maintenance early warnings. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides a multifunctional robot that can intelligently identify the operating status of equipment and issue maintenance warnings, solving the problems of existing robots' poor adaptability to complex terrain, insufficient protection performance, and weak intelligent analysis capabilities.

[0005] The protective component comprises a limiting plate installed on the surface of the robot body, the inner surface of the limiting plate is slidably connected with a limiting block, one side of the limiting block is fixedly connected with a buffer spring, one end of the buffer spring is fixedly connected with the inner wall of the limiting plate, the surface of the limiting block is rotatably connected with a rotating rod, one end of the rotating rod is rotatably connected with a protective plate, the inner side of the protective plate is rotatably connected with a protective roller. The positioning component is arranged on the inner side of the protective plate.

[0006] Preferably, the positioning component comprises a positioning rod installed on the inner side of the protective plate, the surface of the positioning rod is slidably connected with a positioning column, one side of the positioning column is fixedly connected with one side of the robot body.

[0007] Preferably, the auxiliary moving component comprises a moving electric cylinder installed in the interior of the robot body, the output end of the moving electric cylinder is fixedly connected with a moving plate, the top of the moving plate is fixedly connected with a moving rod, the surface of the moving rod is slidably connected with the interior of the robot body, and the two sides of the moving plate are rotatably connected with track wheel groups.

[0008] Preferably, the lifting assembly comprises a support plate installed on the top of the robot body, one side of the support plate is fixedly connected with a lifting motor, one end of the output shaft of the lifting motor is fixedly connected with a lifting lead screw through a shaft coupling, the surface of the lifting lead screw is threadedly connected with a sliding plate, the two ends of the sliding plate are rotatably connected with connecting rods, one end of each connecting rod is rotatably connected with the bottom of the bearing seat, the interior of each connecting rod is rotatably connected with a transmission rod, one end of each transmission rod is rotatably connected with the top of the robot body, the other end of each transmission rod is rotatably connected with a transmission plate, the interior of each transmission plate is slidably connected with a bearing rod, and each bearing rod is installed at the bottom of the bearing seat.

[0009] Preferably, one side of the support plate is fixedly connected with a support rod, and the surface of the support rod is slidably connected with the interior of the sliding plate.

[0010] Preferably, the state recognition component comprises a mechanical arm installed on the top of the bearing seat, and the distal end of the mechanical arm is respectively installed with a vibration sensor, a temperature sensor and a high-definition camera.

[0011] ​Preferably, a plurality of groups of infrared obstacle avoidance sensors are installed on the surface of the robot body, a plurality of groups of sound sensors are installed on the top of the supporting seat, and an alarm and a laser radar are installed on one side of the supporting seat.

[0012] Preferably, the intelligent analysis and early warning module includes a data processing unit, a fault diagnosis unit, an early warning unit, a life prediction unit and a terrain determination unit: The data processing unit is electrically connected to the vibration sensor, temperature sensor, high-definition camera, sound sensor and lidar respectively, and is used to receive and process the equipment operation data collected by each sensor; The fault diagnosis unit has a built-in equipment fault feature database, which identifies the equipment operating status and determines the fault type by comparing and analyzing the processed data with the fault feature parameters; The early warning unit sends a graded early warning signal through an alarm according to the fault diagnosis result, and sends fault information and maintenance suggestions to the remote monitoring terminal; The life prediction unit uses a machine learning algorithm to establish a model for predicting the remaining life of the equipment based on the equipment's historical operating data and real-time monitoring data, generates a maintenance plan in advance, and pushes it to the management system; The terrain determination unit determines whether the terrain is complex based on the three-dimensional point cloud data collected by the laser radar through slope analysis, ground flatness detection and obstacle identification.

[0013] Beneficial effects The present invention provides a multifunctional robot that can intelligently identify the operating status of equipment and provide maintenance warnings. Compared with existing technologies, it has the following advantages: 1. This multifunctional robot can intelligently identify the operating status of equipment and issue maintenance warnings. It is equipped with a protective mechanism and uses a combination of buffer springs and protective plates to effectively absorb collision energy, reduce damage to the robot caused by external impacts, and improve equipment reliability. It is also equipped with an intelligent analysis and warning module. Through multi-sensor data fusion and intelligent algorithm analysis, it can realize automatic identification of equipment operating status, fault diagnosis and maintenance warnings. At the same time, it integrates terrain determination functions, which improves the robot's autonomous working ability and intelligence level.

[0014] 2. This multifunctional robot can intelligently identify the operating status of equipment and issue maintenance warnings. By combining auxiliary mobile components with mobile wheels, and under the coordinated control of laser radar and intelligent analysis and warning modules, the robot can automatically switch its movement mode according to the terrain. It can move efficiently on flat ground and walk stably on complex terrain, improving its environmental adaptability.

[0015] 3. This multifunctional robot can intelligently identify the operating status of equipment and issue maintenance warnings. It starts the lifting motor to drive the lifting screw to rotate. The rotation of the lifting screw will cause the sliding plate to slide along the support rod, thereby driving the connecting rod and the transmission rod to move, so that one end of the connecting rod rotates at the bottom of the bearing seat, and the other end of the connecting rod rotates at one end of the sliding plate, so that one end of the transmission rod rotates at the top of the robot body, and the other end of the transmission rod rotates at one end of the transmission plate, thereby synchronously driving the transmission plate to slide on the surface of the bearing rod. The height of the bearing seat can be adjusted by the support of the transmission rod and the connecting rod. The height of the status recognition component can be adjusted by the lifting component. Combined with the flexibility of the robotic arm, the robot can detect equipment at different heights and positions, thereby expanding the detection range. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a three-dimensional schematic diagram of the external structure of the present invention; Figure 2 is a three-dimensional schematic diagram of the lifting assembly of the present invention; Figure 3 is a three-dimensional schematic diagram of the protective component of the present invention; Figure 4 is a three-dimensional schematic diagram of the auxiliary movement component of the present invention; Figure 5 This is a schematic three-dimensional diagram of the bottom structure of the robot body of the present invention; Figure 6 It is a workflow diagram of the robot body of the present invention.

[0017] In the figure: 1-robot body, 2-intelligent analysis and warning module, 21-data processing unit, 22-fault diagnosis unit, 23-warning unit, 24-life prediction unit, 25-terrain determination unit, 3-moving wheel, 4-auxiliary moving component, 41-moving electric cylinder, 42-moving plate, 43-moving rod, 44-track wheel group, 5-lifting component, 51-support plate, 52-lifting motor, 53-lifting screw, 54-sliding plate, 55-connecting rod, 56-transmission rod, 57-transmission plate, 58-carrying rod , 6-bearing seat, 7-state recognition component, 71-robotic arm, 72-vibration sensor, 73-temperature sensor, 74-high-definition camera, 8-protection mechanism, 81-protection component, 811-limiting plate, 812-limiting block, 813-buffer spring, 814-rotating rod, 815-protective plate, 816-protection roller, 82-positioning component, 821-positioning rod, 822-positioning column, 9-support rod, 10-infrared obstacle avoidance sensor, 11-sound sensor, 12-alarm, 13-laser radar. DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0019] See also Figures 1-6 , the present invention provides a technical solution: A multifunctional robot for intelligently identifying the operating status of equipment and providing maintenance warnings includes a robot body 1, an intelligent analysis and warning module 2 is provided inside the robot body 1, a moving wheel 3 is installed at the bottom of the robot body 1, an auxiliary moving component 4 is provided at the bottom of the robot body 1, a lifting component 5 is used to slide a supporting seat 6 at the top of the robot body 1, a state recognition component 7 is provided on the top of the supporting seat 6, and a protective mechanism 8 is provided on the surface of the robot body 1. The protective mechanism 8 includes: The protection assembly 81 includes a limit plate 811 mounted on the surface of the robot body 1. The inner surface of the limit plate 811 is slidably connected to a limit block 812. A buffer spring 813 is fixedly connected to one side of the limit block 812. One end of the buffer spring 813 is fixedly connected to the inner wall of the limit plate 811. The surface of the limit block 812 is rotatably connected to a rotating rod 814. One end of the rotating rod 814 is rotatably connected to a protection plate 815. The interior of the protection plate 815 is rotatably connected to a protection roller 816. The positioning assembly 82 is disposed on the inner side of the protective plate 815 .

[0020] The protective plate 815 is made of ABS engineering plastic with a thickness of 5 mm, and the protective roller 816 is made of elastic rubber; the buffer spring 813 has a stiffness coefficient of 50 N / mm and can absorb an impact force of ≤500 N.

[0021] By providing a protective mechanism 8 and utilizing the combined design of a buffer spring 813 and a protective plate 815, the collision energy can be effectively absorbed, the damage to the robot caused by external impact can be reduced, and the reliability of the equipment can be improved. In addition, an intelligent analysis and early warning module 2 is provided, which realizes automatic identification of the equipment's operating status, fault diagnosis and maintenance early warning through multi-sensor data fusion and intelligent algorithm analysis. At the same time, the terrain determination function is integrated, thereby improving the robot's autonomous working ability and intelligence level.

[0022] In the embodiment of the present invention, the positioning assembly 82 includes a positioning rod 821 installed on the inner side of the protective plate 815, and the surface of the positioning rod 821 is slidably connected to a positioning column 822, and one side of the positioning column 822 is fixedly connected to one side of the robot body 1.

[0023] In an embodiment of the present invention, the auxiliary moving component 4 includes a moving electric cylinder 41 installed inside the robot body 1, the output end of the moving electric cylinder 41 is fixedly connected to a moving plate 42, the top of the moving plate 42 is fixedly connected to a moving rod 43, the surface of the moving rod 43 is slidingly connected to the interior of the robot body 1, and the two sides of the moving plate 42 are rotatably connected to a track wheel group 44.

[0024] A driving motor for driving the track wheel assembly 44 to roll is installed inside the movable plate 42. The driving motor is fixed to the motor bracket inside the movable plate 42 by bolts, and the output shaft is connected to the driving wheel of the track wheel assembly 44 through a reducer to realize power transmission; at the same time, the driving motor and the movable electric cylinder 41 are electrically connected to the intelligent analysis and early warning module 2.

[0025] Through the combination of the auxiliary mobile component 4 and the mobile wheel 3, under the coordinated control of the laser radar 13 and the intelligent analysis and early warning module 2, the robot can automatically switch the movement mode according to the terrain. It can move efficiently on flat ground and walk stably on complex terrain, thereby improving environmental adaptability.

[0026] In the embodiment of the present invention, the lifting assembly 5 includes a support plate 51 installed on the top of the robot body 1, and a lifting motor 52 is fixedly connected to one side of the support plate 51. One end of the output shaft of the lifting motor 52 is fixedly connected to a lifting screw 53 through a coupling. The surface of the lifting screw 53 is threadedly connected to a sliding plate 54. Both ends of the sliding plate 54 are rotatably connected to a connecting rod 55. One end of the connecting rod 55 is rotatably connected to the bottom of the supporting seat 6. The inside of the connecting rod 55 is rotatably connected to a transmission rod 56. One end of the transmission rod 56 is rotatably connected to the top of the robot body 1, and the other end of the transmission rod 56 is rotatably connected to a transmission plate 57. The inside of the transmission plate 57 is slidably connected to a bearing rod 58, and the bearing rod 58 is installed at the bottom of the bearing seat 6.

[0027] The lifting motor 52 is a servo motor and is connected to an internal battery via an electric wire.

[0028] By starting the lifting motor 52 to drive the lifting screw 53 to rotate, the rotation of the lifting screw 53 will cause the sliding plate 54 to slide along the support rod 9, thereby driving the connecting rod 55 and the transmission rod 56 to move, so that one end of the connecting rod 55 rotates at the bottom of the supporting seat 6, and the other end of the connecting rod 55 rotates at one end of the sliding plate 54, so that one end of the transmission rod 56 rotates at the top of the robot body 1, and the other end of the transmission rod 56 rotates at one end of the transmission plate 57, thereby synchronously driving the transmission plate 57 to slide on the surface of the supporting rod 58. The height of the supporting seat 6 can be adjusted by the support of the transmission rod 56 and the connecting rod 55. The height of the state recognition component 7 can be adjusted through the lifting component 5. With the flexibility of the mechanical arm 71, the robot can detect equipment at different heights and positions, thereby expanding the detection range.

[0029] In the embodiment of the present invention, a support rod 9 is fixedly connected to one side of the support plate 51 , and a surface of the support rod 9 is slidably connected to the inside of the sliding plate 54 .

[0030] In the embodiment of the present invention, the state recognition component 7 includes a mechanical arm 71 installed on the top of the supporting base 6, and a vibration sensor 72, a temperature sensor 73 and a high-definition camera 74 are respectively installed at the end of the mechanical arm 71.

[0031] The robotic arm 71 has a 6-DOF structure, a maximum extension length of 1.2m, and a terminal load capacity of ≥2kg; The vibration sensor 72 uses a piezoelectric acceleration sensor with a measurement range of 0-500g and a frequency range of 1-10kHz; the temperature sensor 73 is a non-contact temperature sensor with a measurement range of -50 to 300°C, an accuracy of ±0.5°C, and a measurement distance of 5-50cm; the high-definition camera 74 has a resolution of 20 million pixels, a frame rate of 30fps, and supports 1080P video shooting.

[0032] In the embodiment of the present invention, multiple groups of infrared obstacle avoidance sensors 10 are installed on the surface of the robot body 1, multiple groups of sound sensors 11 are installed on the top of the supporting base 6, and an alarm 12 and a laser radar 13 are installed on one side of the supporting base 6.

[0033] The infrared obstacle avoidance sensor 10 has a detection range of 0.1-5m; the sound sensor 11 is equipped with four groups, with a sampling rate of 48kHz, and can recognize sound signals of 20-20000Hz; the alarm 12 is an audible and visual alarm with a volume ≥100dB, which can emit red, yellow and green light alarm signals, corresponding to emergency faults, general faults and normal status respectively; the laser radar 11 uses a 16-line laser radar with a horizontal field of view of 360°, a vertical field of view of ±15°, a ranging range of 0.5-100m, a ranging accuracy of ±2cm, and a scanning frequency of 10Hz. It can construct a three-dimensional point cloud map of the surrounding environment in real time, and analyze the ground slope, flatness and obstacle information through point cloud data.

[0034] In the embodiment of the present invention, the intelligent analysis and warning module 2 includes a data processing unit 21, a fault diagnosis unit 22, an early warning unit 23, a life prediction unit 24 and a terrain determination unit 25: The data processing unit 21 is electrically connected to the vibration sensor 72, the temperature sensor 73, the high-definition camera 74, the sound sensor 11 and the laser radar 13, respectively, and is used to receive and process the equipment operation data collected by each sensor; The fault diagnosis unit 22 has a built-in equipment fault feature database, which can identify the equipment operating status and determine the fault type by comparing and analyzing the processed data with the fault feature parameters; The early warning unit 23 sends a graded early warning signal through the alarm 12 according to the fault diagnosis result, and sends the fault information and maintenance suggestions to the remote monitoring terminal; The life prediction unit 24 uses machine learning algorithms to establish a model for predicting the remaining life of the equipment based on the equipment's historical operating data and real-time monitoring data, generates a maintenance plan in advance, and pushes it to the management system; The terrain determination unit 25 determines whether the terrain is complex based on the three-dimensional point cloud data collected by the laser radar 13 through slope analysis, ground flatness detection and obstacle recognition.

[0035] The intelligent analysis and warning module 2 uses an industrial-grade embedded processor with a main frequency of 1.8GHz, 4GB of memory, and a storage capacity of 64GB. The terrain determination module 25 realizes complex terrain recognition through the following logic: Slope determination: Perform plane fitting on the ground point cloud within 3 meters in front of the laser radar, calculate the slope angle, and determine it as a slope terrain when the slope is greater than 15°; Flatness determination: Analyze the height standard deviation of the ground point cloud within 0.5 meters from the bottom of the robot. If the standard deviation is greater than 3cm, it is determined to be uneven terrain. Obstacle detection: Identify obstacles within 1 meter in front of the vehicle that are raised and have a height greater than 5 cm and a width greater than 20 cm, or grooves greater than 5 cm in depth. When any of the above conditions is met, the terrain determination module sends a control signal within 0.3 seconds to start the mobile electric cylinder of the auxiliary mobile component, lower the track wheel group and switch to the compound drive mode.

[0036] The life prediction module 24 uses the long short-term memory network LSTM model in the machine learning algorithm to predict the remaining life of the equipment. The LSTM model can effectively process the time series characteristics in the historical operation data of the equipment and capture the evolution of the equipment's operating status over time. Its working process is: first, the historical vibration, temperature, operating time and other data of the equipment are pre-processed and converted into a format suitable for model input; then these data are input into the LSTM network in chronological order. The memory units in the network can selectively retain long-term and short-term key information, and through continuous training and optimization of model parameters, it can learn the characteristic patterns of the equipment's normal operation and before failure; finally, based on real-time monitoring data, the equipment's operating status change trend in the future is predicted, thereby estimating the remaining life of the equipment.

[0037] In the fault diagnosis module 22, a support vector machine (SVM) algorithm is used to classify and identify equipment fault types. The SVM algorithm can effectively distinguish data of different fault types in the feature space by constructing an optimal classification hyperplane. In practical applications, key feature parameters such as vibration frequency characteristics and temperature change characteristics are first extracted from a large amount of equipment fault sample data. After these features are normalized, the SVM model is trained using these sample data to learn the feature boundaries corresponding to different fault types. When the fault diagnosis module receives real-time equipment data collected by the state recognition component and pre-processed by the data processing module, it is input into the trained SVM model. The model determines whether the current operating status of the equipment is normal based on the learned classification rules. If abnormal, it identifies the specific fault type.

[0038] In addition, the data processing module 21 adopts the wavelet transform algorithm when performing noise reduction processing on the data collected by the sensor. The wavelet transform can decompose the signal into different frequency scales. By selecting the appropriate wavelet basis function and the number of decomposition layers, the noise components and useful information in the signal can be effectively separated. For the noisy signals collected by vibration sensors, sound sensors, etc., they are first subjected to wavelet decomposition to obtain wavelet coefficients at different frequency scales; then, according to the different characteristics of noise and useful signals in the wavelet coefficients, the wavelet coefficients are threshold processed to remove the wavelet coefficients corresponding to the noise; finally, through wavelet reconstruction, the pure signal after noise reduction is obtained, providing high-quality data support for subsequent fault diagnosis and life prediction modules.

[0039] At the same time, the contents not described in detail in this specification belong to the existing technology well known to those skilled in the art.

[0040] When working, the robot body 1 moves autonomously within the factory area according to the preset inspection route through the mobile wheels 3. The laser radar 13 scans the surrounding environment in real time to build a three-dimensional point cloud map, and the infrared obstacle avoidance sensor 10 assists in obstacle avoidance. The terrain determination unit 25 of the intelligent analysis and early warning module 2 processes the laser radar 13 data in real time. When it determines that the terrain is complex, it immediately controls the moving electric cylinder 41 to push the track wheel group 44 down to contact the ground, switching to a drive mode with the track as the main and the moving wheel as the auxiliary to adapt to the complex factory terrain; After reaching the detection point, the lifting assembly 5 adjusts the height of the supporting seat 6 according to the height of the equipment, and drives the lifting screw 53 to rotate by starting the lifting motor 52. The rotation of the lifting screw 53 causes the sliding plate 54 to slide along the support rod 9, thereby driving the connecting rod 55 and the transmission rod 56 to move, so that one end of the connecting rod 55 rotates at the bottom of the supporting seat 6, so that the other end of the connecting rod 55 rotates at one end of the sliding plate 54, so that one end of the transmission rod 56 rotates at the top of the robot body 1, so that the other end of the transmission rod 56 rotates at one end of the transmission plate 57, thereby synchronously driving the transmission plate 57 to slide on the surface of the supporting rod 58, and the height of the supporting seat 6 is adjusted by the support of the transmission rod 56 and the connecting rod 55. The mechanical arm 71 is extended to a suitable position, so that the vibration sensor 72, the equipment surface contact, the temperature sensor 73 are close to the equipment detection point, the high-definition camera 74 is aimed at the key parts of the equipment, and the sound sensor 11 collects the sound of the equipment operation. The data collected by each sensor is transmitted to the intelligent analysis and warning module 2, and the data processing unit 21 performs pre-processing such as filtering and noise reduction on the data; The fault diagnosis unit 22 compares the processed data with the built-in fault feature database to identify the equipment operating status and determine whether there is a fault and the type of fault; If an equipment anomaly is detected, the early warning unit 23 will issue an audible and visual alarm of the corresponding level through the alarm 12, and send the fault location, type and maintenance suggestions to the remote monitoring terminal; The life prediction unit 24 regularly updates the equipment remaining life prediction based on historical data and real-time monitoring data, generates maintenance plans in advance and pushes them to the management system; During the inspection process, if the robot is hit by a collision, the protective plate 815 and the buffer spring 813 of the protective mechanism 8 will absorb the collision energy to protect the internal equipment. When the protective plate 815 is hit by a collision, one end of the rotating rod 814 will rotate on the inner side of the protective plate 815, so that the other end of the rotating rod 814 will rotate on the surface of the limit block 812, thereby causing the limit block 812 to slide on the inner surface of the corresponding slide groove opened inside the limit plate 811, and then squeeze the buffer spring 813, and synchronously, the positioning rod 821 will slide inside the positioning column 822.

[0041] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0042] While embodiments of the application have been shown and described, it is to be understood that the application is not limited to the details of the embodiments described, since numerous changes, modifications, substitutions and variations can be made thereto without departing from the spirit and scope of the application as defined by the appended claims and their equivalents.

Claims

1. A multifunctional robot capable of intelligently identifying the operating status of equipment and providing maintenance warnings, comprising a robot body (1), characterized in that: An intelligent analysis and early warning module (2) is provided inside the robot body (1), a moving wheel (3) is installed at the bottom of the robot body (1), an auxiliary moving component (4) is provided at the bottom of the robot body (1), a lifting component (5) is used to slide a supporting seat (6) at the top of the robot body (1), a state recognition component (7) is provided at the top of the supporting seat (6), and a protective mechanism (8) is provided on the surface of the robot body (1), wherein the protective mechanism (8) comprises: A protective assembly (81) comprises a limit plate (811) mounted on the surface of the robot body (1), the inner surface of the limit plate (811) being slidably connected to a limit block (812), one side of the limit block (812) being fixedly connected to a buffer spring (813), one end of the buffer spring (813) being fixedly connected to the inner wall of the limit plate (811), the surface of the limit block (812) being rotatably connected to a rotating rod (814), one end of the rotating rod (814) being rotatably connected to a protective plate (815), and the interior of the protective plate (815) being rotatably connected to a protective roller (816); The positioning assembly (82) is arranged on the inner side of the protective plate (815).

2. A multifunctional robot capable of intelligently identifying equipment operating status and providing maintenance warnings according to claim 1, characterized in that: The positioning assembly (82) includes a positioning rod (821) installed on the inner side of the protective plate (815), a positioning column (822) is slidably connected to the surface of the positioning rod (821), and one side of the positioning column (822) is fixedly connected to one side of the robot body (1).

3. The multifunctional robot for intelligently identifying equipment operating status and providing maintenance warnings according to claim 1, characterized in that: The auxiliary moving component (4) includes a moving electric cylinder (41) installed inside the robot body (1), the output end of the moving electric cylinder (41) is fixedly connected to a moving plate (42), the top of the moving plate (42) is fixedly connected to a moving rod (43), the surface of the moving rod (43) is slidably connected to the inside of the robot body (1), and the two sides of the moving plate (42) are rotatably connected to track wheel groups (44).

4. The multifunctional robot for intelligently identifying equipment operating status and providing maintenance warnings according to claim 1, characterized in that: The lifting assembly (5) includes a support plate (51) mounted on the top of the robot body (1), one side of the support plate (51) is fixedly connected to a lifting motor (52), one end of the output shaft of the lifting motor (52) is fixedly connected to a lifting screw (53) through a coupling, the surface of the lifting screw (53) is threadedly connected to a sliding plate (54), both ends of the sliding plate (54) are rotatably connected to a connecting rod (55), one end of the connecting rod (55) is rotatably connected to the bottom of the bearing seat (6), the interior of the connecting rod (55) is rotatably connected to a transmission rod (56), one end of the transmission rod (56) is rotatably connected to the top of the robot body (1), the other end of the transmission rod (56) is rotatably connected to a transmission plate (57), the interior of the transmission plate (57) is slidably connected to a bearing rod (58), and the bearing rod (58) is mounted on the bottom of the bearing seat (6).

5. The multifunctional robot for intelligently identifying equipment operating status and providing maintenance warning according to claim 4, characterized in that: A support rod (9) is fixedly connected to one side of the support plate (51), and a surface of the support rod (9) is slidably connected to the interior of the sliding plate (54).

6. The multifunctional robot for intelligently identifying equipment operating status and providing maintenance warnings according to claim 1, characterized in that: The state recognition component (7) comprises a mechanical arm (71) mounted on the top of the supporting seat (6), and a vibration sensor (72), a temperature sensor (73) and a high-definition camera (74) are respectively mounted on the ends of the mechanical arm (71).

7. The multifunctional robot for intelligently identifying equipment operating status and providing maintenance warnings according to claim 6, characterized in that: The surface of the robot body (1) is mounted with multiple groups of infrared obstacle avoidance sensors (10), the top of the supporting base (6) is mounted with multiple groups of sound sensors (11), and one side of the supporting base (6) is mounted with an alarm (12) and a laser radar (13).

8. The multifunctional robot for intelligently identifying equipment operating status and providing maintenance warnings according to claim 7, characterized in that: The intelligent analysis and early warning module (2) includes a data processing unit (21), a fault diagnosis unit (22), an early warning unit (23), a life prediction unit (24) and a terrain determination unit (25): The data processing unit (21) is electrically connected to the vibration sensor (72), the temperature sensor (73), the high-definition camera (74), the sound sensor (11) and the laser radar (13), respectively, and is used to receive and process the equipment operation data collected by each sensor; The fault diagnosis unit (22) has a built-in equipment fault feature database, which identifies the equipment operating status and determines the fault type by comparing and analyzing the processed data with the fault feature parameters; The early warning unit (23) issues a graded early warning signal through the alarm (12) based on the fault diagnosis result, and sends the fault information and maintenance suggestions to the remote monitoring terminal; The life prediction unit (24) uses a machine learning algorithm to establish a model for predicting the remaining life of the equipment based on the historical operation data and real-time monitoring data of the equipment, generates a maintenance plan in advance and pushes it to the management system; The terrain determination unit (25) determines whether the terrain is complex based on the three-dimensional point cloud data collected by the laser radar (13) through slope analysis, ground flatness detection and obstacle recognition.

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