A heavy load gear transmission system multi-source information state monitoring platform and a monitoring method

Abstract

The present application relates to heavy load gear transmission system state monitoring technical field, specifically relates to a kind of heavy load gear transmission system multi-source information state monitoring platform and monitoring method, the platform includes fixed platform, multi-axis mobile module, hierarchical perception system, laser auxiliary vibration measurement component and data processing and control system.Three-dimensional space displacement is realized by multi-axis mobile module;Hierarchical perception system executes wide-area scanning to identify abnormal area by global perception component, and drives local monitoring terminal to move to the area to execute fine collection.The monitoring method includes: identifying abnormality based on global data and performing coordinate mapping;Vibration frequency spectrum is extracted by analyzing spot displacement in video frame using gray gravity center method;Diagnosis result is output by fusing local thermal image, sound and vibration characteristics.The present application solves the problem of large blind area of fixed monitoring and difficult wiring of contact type vibration measurement, and improves the diagnosis accuracy under complex working conditions.

Description

Technical Field

[0001] This invention relates to the field of condition monitoring technology for heavy-duty gear transmission systems, and in particular to a multi-source information condition monitoring platform and monitoring method for heavy-duty gear transmission systems. Background Technology

[0002] In heavy machinery, mining equipment, and wind power, heavy-duty gear transmission systems undertake the task of transmitting high-power, high-torque power, and their operating status directly affects the safety and stability of the entire machine. To ensure reliable system operation, condition monitoring technology is widely used, collecting information such as temperature, vibration, and sound to achieve fault early warning and diagnosis. Traditional monitoring methods mainly rely on fixed sensor networks, installing sensors at key locations in the gearbox to continuously collect operating parameters.

[0003] However, existing fixed monitoring solutions have significant shortcomings in practical applications. On the one hand, due to the fixed sensor positions, it is difficult to cover all potential fault areas outside the gearbox, especially for heavy-duty systems with complex structures and widely distributed components, easily leading to monitoring blind spots. On the other hand, increasing the number of sensors to improve monitoring comprehensiveness results in complex wiring, high costs, and sensors are susceptible to environmental interference or damage under harsh operating conditions, making maintenance difficult. Furthermore, single-mode sensors provide limited information and have weak anti-interference capabilities, making it difficult to meet the needs of high-precision fault diagnosis under complex operating conditions.

[0004] Therefore, there is an urgent need for a monitoring platform that can achieve flexible mobility and multi-source information fusion to improve the comprehensiveness, accuracy and reliability of condition monitoring of heavy-duty gear transmission systems. To this end, a multi-source information condition monitoring platform and monitoring method for heavy-duty gear transmission systems is proposed. Summary of the Invention

[0005] In view of this, the purpose of this invention is to propose a multi-source information status monitoring platform and monitoring method for heavy-duty gear transmission systems, so as to solve the problems of large coverage blind spots caused by fixed installation of sensors, difficult construction of contact vibration measurement wiring, and easy false alarms in single sensor data diagnosis in the existing status monitoring of heavy-duty gear transmission systems.

[0006] To achieve the above objectives, this invention provides a multi-source information status monitoring platform and method for heavy-duty gear transmission systems, comprising: a fixed platform with a guide rail; a multi-axis moving module mounted on the fixed platform, including a longitudinal moving platform, a transverse moving platform, and a vertical moving platform, wherein the longitudinal moving platform is slidably mounted on the guide rail, the transverse moving platform is mounted on the longitudinal moving platform, and the vertical moving platform is vertically and flexibly mounted below the transverse moving platform; a hierarchical sensing system, including a global sensing component mounted on the longitudinal moving platform and a local monitoring terminal mounted at the bottom of the vertical moving platform; the global sensing component includes a first thermal imager and a first microphone for collecting global scanning data of the heavy-duty gear transmission system, and the local monitoring terminal includes a first monitoring camera, a second thermal imager, and a second microphone for collecting local thermal image data and local sound signals of the heavy-duty gear transmission system at fixed points; and a laser-assisted vibration measurement component, including a laser emitter mounted on the fixed platform and a laser reflector mounted on the surface of the heavy-duty gear transmission system, wherein the laser emitted by the laser emitter is reflected by the laser reflector to form a reflected light spot, and the reflected light spot is located within the field of view of the first monitoring camera; A data processing and control system, mounted on a fixed platform and electrically connected to a multi-axis motion module and a hierarchical sensing system, includes an anomaly identification and scheduling module, a vibration signal processing module, and a multi-source fusion diagnostic module. The first thermal imager and the first microphone are connected to the input of the anomaly identification and scheduling module, and the output of the module is connected to the input of the multi-axis motion module. The anomaly identification and scheduling module compares global scan data with preset thresholds to identify abnormal areas and drives the multi-axis motion module to move the local monitoring terminal to the abnormal area. The first monitoring camera is connected to the input of the vibration signal processing module, and the output of the module is connected to the input of the multi-source fusion diagnostic module. The vibration signal processing module processes the displacement image of the reflected light spot acquired by the first monitoring camera, analyzes and outputs vibration spectrum characteristics. The second thermal imager and the second microphone are connected to the input of the multi-source fusion diagnostic module, which fuses the vibration spectrum characteristics, local thermal image data collected by the local monitoring terminal, and local sound signals to output a fault diagnosis result.

[0007] Preferably, the fixed platform includes a top frame, two guide rails symmetrically arranged on the top frame, and six columns fixed on the top frame. The six columns are divided into three groups, named the first group, the second group, and the third group respectively, with the second group located between the first group and the third group. The columns in the first and third groups are provided with a longitudinal drive mechanism for driving the longitudinal moving platform to move, and the laser emitter is installed on one of the columns in the second group.

[0008] Preferably, the longitudinal moving platform includes four L-shaped rods. A guide rail trolley is mounted on the upper surface of each L-shaped rod near its end, and the guide rail trolley is slidably disposed within a guide rail. A rectangular frame is fixedly connected to the top of each L-shaped rod. The four L-shaped rods are divided into two groups, named the fourth group and the fifth group respectively. The longitudinal drive mechanism includes a wire rope and a tension retainer. A first guide rope pulley is mounted on one of the columns in the first group, and a mounting base is mounted on the other column. A first drive motor is mounted on one of the columns in the third group, and a second guide rope pulley is mounted on the other column. A drive wheel is fixed to the output end of the first drive motor. Three third guide rope pulleys are installed on the sides of the two L-shaped rods in the fourth group, and three fourth guide rope pulleys are installed on the sides of the two L-shaped rods in the fifth group. One end of the wire rope is connected to the mounting base, and the other end first passes through the three third guide rope pulleys on the sides of the two L-shaped rods in the fourth group, and then is led to the first guide rope pulley. After being guided by the first guide rope pulley, the wire rope passes over the drive wheel at the output end of the first drive motor, then passes through the three fourth guide rope pulleys installed on the sides of the two L-shaped rods in the fifth group, and after being guided by the second guide rope pulley, the other end of the wire rope is finally connected to the tension retainer to form a rope pulley drive. The tension retainer is a counterweight.

[0009] Preferably, the lateral moving platform includes two mounting plates installed within a rectangular frame. Two symmetrical slide rails are fixedly connected to the lower surfaces of the two mounting plates. A moving platform is slidably mounted on the slide rails, and a vertical moving platform is installed on the lower surface of the moving platform. A lateral driving mechanism for driving the moving platform is provided between the two mounting plates. The lateral driving mechanism includes a second drive motor and a pull rope mounted on one of the mounting plates. A drive wheel is fixed to the output end of the second drive motor, and a driven wheel is mounted on the other mounting plate. A hanging lug is fixed to the moving platform, and the pull rope is sleeved on the drive wheel and the driven wheel to form a closed loop structure. The two ends of the pull rope are respectively fixed to the hanging lug.

[0010] Preferably, the vertical moving platform includes an upper housing, a lower housing, and a scissor arm disposed between the upper housing and the lower housing. The upper housing is fixed to the lower surface of the moving platform. A lifting motor is installed inside the upper housing. A lifting belt is wound around the output end of the lifting motor, and the free end of the lifting belt is connected to the lower housing.

[0011] Preferably, there are two first temperature measuring thermal imagers, symmetrically installed on the side of the rectangular frame, and four first microphones, installed at the four corners near the rectangular frame.

[0012] Preferably, the first monitoring camera is mounted on the lower housing, and the second thermal imager and the second microphone are respectively mounted on both sides of the first monitoring camera, which can rotate synchronously with the first monitoring camera to collect local thermal image data and local sound signals of the heavy-duty gear transmission system at fixed points.

[0013] A method for multi-source information status monitoring of a heavy-duty gear transmission system includes the following steps: S1. The global sensing component is moved by the multi-axis moving module to collect global scanning data of the heavy-duty gear transmission system. The abnormality identification and scheduling module compares the global scanning data with the preset threshold to identify abnormal areas. Then, the multi-axis moving module is driven to move the local monitoring terminal to the abnormal area. The local monitoring terminal collects local thermal image data and local sound signals of the heavy-duty gear transmission system located in the abnormal area. S2. The displacement image of the reflected light spot obtained by the first monitoring camera is processed by the vibration signal calculation module, and the vibration spectrum characteristics are analyzed and output. S3. The multi-source fusion diagnostic module fuses vibration spectrum features, local thermal imaging data and local sound signals to output fault diagnosis results.

[0014] Preferably, in step S1, the anomaly identification and scheduling module is specifically used for: The system extracts a temperature data matrix from the global scan data, acquired by the first thermal imager, and a sound signal sequence from the first microphone. It compares the pixel temperature values ​​in the temperature data matrix with preset temperature thresholds, marking pixels exceeding these thresholds as temperature anomalies. Connectivity analysis is then performed on these anomalies, identifying connected sets of anomalies as temperature anomaly regions. Simultaneously, the system calculates the short-time energy of the sound signal sequence, identifying signal segments exceeding a preset energy threshold as abnormal sound segments. When an abnormal temperature region or abnormal sound segment is detected, the system acquires the real-time spatial coordinates of the longitudinal moving platform. This coordinates are then combined with the center pixel coordinates of the abnormal temperature region or the sound source orientation parameters of the abnormal sound segment, along with preset calibration parameters for the first thermal imager and the first microphone, to perform coordinate mapping and calculate the physical coordinates of the anomaly region. Based on these physical coordinates, a driving command is generated to control the multi-axis moving module to move the local monitoring terminal directly above the anomaly region.

[0015] Preferably, in step S2, the vibration signal calculation module is specifically used to: perform grayscale processing on the continuous video frames acquired by the first monitoring camera, extract the region of interest of the reflected light spot, calculate the centroid coordinates of the reflected light spot in each frame image using the grayscale centroid method, construct a displacement sequence that changes with time, perform a fast Fourier transform on the displacement sequence, obtain the frequency domain features of the vibration signal, and extract the characteristic frequency amplitude as the vibration spectrum feature; in step S3, the multi-source fusion diagnosis module is specifically used to: extract the temperature gradient features of the local thermal image data, the Mel frequency cepstral coefficient features of the local sound signal, and the peak factor of the vibration spectrum feature, respectively, and construct a multi-dimensional feature vector; input the multi-dimensional feature vector into the pre-trained fault diagnosis model, the fault diagnosis model outputs the probability distribution of different fault types, and determine the final fault diagnosis result based on the maximum probability value in the probability distribution.

[0016] The beneficial effects of this invention are as follows: I. This invention utilizes a hierarchical sensing system in conjunction with a multi-axis mobile module to collect global scanning data of a heavy-duty gear transmission system using a global sensing component. After identifying abnormal areas, the multi-axis mobile module drives a local monitoring terminal to move to the abnormal area for monitoring, thereby expanding the monitoring range and facilitating further data collection in the abnormal area, reducing the monitoring blind spots caused by the limited monitoring range of fixed sensors.

[0017] Second, the present invention adopts a non-contact vibration measurement method based on laser reflection spot imaging. By fixing the laser emitter on a fixed platform and placing the reflected spot within the field of view of the first monitoring camera, the vibration displacement is reflected as the displacement change of the reflected spot, which is then collected by the first monitoring camera, thereby realizing non-contact acquisition of vibration information. At the same time, by adjusting the optical path angle, it can adapt to the monitoring needs of different locations.

[0018] Third, this invention employs a mechanical transmission structure that combines traction from a movable pulley system with a scissor lift. The longitudinal moving platform maintains the tension of the wire rope through a tension retainer (counterweight), ensuring the wire rope remains taut during traction and driving the longitudinal moving platform to move. The vertical moving platform utilizes a scissor lift structure in conjunction with a lifting belt drive to achieve lifting and lowering, thereby moving the local monitoring terminal to different height positions for monitoring.

[0019] Fourth, this invention identifies abnormal regions by processing global scan data, and performs coordinate mapping by combining the center pixel coordinates of the abnormal temperature region or the sound source orientation parameters of the abnormal sound segment and calibration parameters to calculate the physical coordinates of the abnormal region; then, the centroid coordinates of the reflected light spot are calculated using the gray-scale centroid method, a displacement sequence that changes over time is constructed, and vibration spectrum features are obtained. The vibration spectrum features, local thermal image data and local sound signals are then fused to perform feature fusion, thereby using multiple monitoring information to diagnose faults in heavy-duty gear transmission systems. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a schematic diagram of the structure of the present invention; Figure 2 This is a schematic diagram of the structure of the multi-axis motion module of the present invention; Figure 3 This is a schematic diagram of the structure of the lateral movement platform of the present invention; Figure 4 This is a schematic diagram of the vertical moving platform of the present invention; Figure 5 This is a schematic diagram of the structure of the movable pulley group formed by the steel wire rope and the multi-axis moving module of the present invention; Figure 6 For the present invention Figure 5 Schematic diagram of the routing of the steel wire rope; Figure 7 This is a schematic diagram of the data processing and control system of the present invention.

[0022] In the diagram: 1. Fixed platform; 101. Guide rail; 102. Top frame; 103. Column; 2. Longitudinal moving platform; 201. L-shaped rod; 202. Guide rail trolley; 203. Rectangular frame; 205. Steel wire rope; 206. Tension retainer; 207. First guide rope pulley; 208. First drive motor; 209. Second guide rope pulley; 210. Third guide rope pulley; 211. Fourth guide rope pulley; 3. Lateral moving platform; 301. Mounting plate; 3 02. Slide rail; 303. Moving platform; 304. Second drive motor; 305. Hanging lug; 306. Pull rope; 4. Vertical moving platform; 401. Upper housing; 402. Lower housing; 403. Scissor arm; 404. Lifting motor; 405. Lifting belt; 5. First thermal imager; 6. First microphone; 7. First surveillance camera; 8. Second thermal imager; 9. Second microphone; 10. Laser emitter; 11. Second surveillance camera. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0024] like Figures 1-7 As shown, a multi-source information status monitoring platform and method for a heavy-duty gear transmission system includes: a fixed platform 1 with a guide rail 101 on it; a multi-axis moving module, mounted on the fixed platform 1, including a longitudinal moving platform 2, a transverse moving platform 3, and a vertical moving platform 4, wherein the longitudinal moving platform 2 is slidably mounted on the guide rail 101, the transverse moving platform 3 is mounted on the longitudinal moving platform 2, and the vertical moving platform 4 is vertically and vertically mounted below the transverse moving platform 3; a hierarchical sensing system, including a global sensing component mounted on the longitudinal moving platform 2 and a local monitoring terminal mounted at the bottom of the vertical moving platform 4; the global sensing component includes... The system includes a first thermal imager 5 and a first microphone 6 for collecting global scan data of the heavy-duty gear transmission system. The local monitoring terminal includes a first monitoring camera 7, a second thermal imager 8, and a second microphone 9 for collecting local thermal image data and local sound signals of the heavy-duty gear transmission system at fixed points. The laser-assisted vibration measurement component includes a laser emitter 10 mounted on a fixed platform 1 and a laser reflector mounted on the surface of the heavy-duty gear transmission system. The laser emitter 10 is an angle-adjustable laser source, and the laser reflector is an angle-adjustable reflective mirror mounted at the monitoring position of the heavy-duty gear transmission system (such as the edge of the gearbox observation window).

[0025] In actual deployment, by adjusting the installation angle of the laser emitter 10 and the reflection angle of the laser reflector, the laser emitted by the laser emitter 10 is reflected by the laser reflector to form a reflected light spot, and the reflected light spot is ensured to be within the field of view of the first monitoring camera 7.

[0026] A data processing and control system is mounted on a fixed platform 1 and electrically connected to a multi-axis motion module and a hierarchical sensing system. The data processing and control system includes an anomaly identification and scheduling module, a vibration signal calculation module, and a multi-source fusion diagnostic module. A first thermal imager 5 and a first microphone 6 are connected to the input of the anomaly identification and scheduling module, and the output of the anomaly identification and scheduling module is connected to the input of the multi-axis motion module. The anomaly identification and scheduling module compares global scan data with preset thresholds to identify abnormal areas and drives the multi-axis motion module to move the local monitoring terminal to the abnormal area. A first monitoring camera 7 is connected to the input of the vibration signal calculation module, and the output of the vibration signal calculation module is connected to the input of the multi-source fusion diagnostic module. The vibration signal calculation module processes the displacement image of the reflected light spot acquired by the first monitoring camera 7, analyzes it, and outputs the vibration spectrum characteristics.

[0027] The second thermal imager 8 and the second microphone 9 are connected to the input of the multi-source fusion diagnostic module. The multi-source fusion diagnostic module is used to fuse the vibration spectrum characteristics, local thermal image data and local sound signals collected by the local monitoring terminal, and output the fault diagnosis results.

[0028] By introducing an angle-adjustable laser emission source combined with a mirror reflector, this optical path adaptive adjustment mechanism can not only adapt to the complex installation environment with varying heights in the workshop, but also realize a non-contact visual vibration measurement solution, avoiding wiring failures of contact sensors in complex environments and reducing hardware deployment and subsequent maintenance costs.

[0029] In a preferred embodiment of the present invention, the fixed platform 1 includes a top frame 102, and two guide rails 101 are symmetrically arranged on the top frame 102. Six columns 103 are fixed on the top frame 102. The six columns 103 are divided into three groups, named the first group, the second group and the third group respectively. The second group is located between the first group and the third group. The columns 103 located in the first group and the third group are provided with a longitudinal drive mechanism for driving the longitudinal moving platform 2 to move. The laser emitter 10 is installed on one of the columns 103 located in the second group.

[0030] The longitudinal moving platform 2 includes four L-shaped rods 201. A guide rail trolley 202 is mounted on the upper surface of the L-shaped rods 201 near its end, and the guide rail trolley 202 is slidably disposed in the guide rail 101. A rectangular frame 203 is fixedly connected to the top of the L-shaped rods 201. The four L-shaped rods 201 are divided into two groups, named the fourth group and the fifth group respectively. The two L-shaped rods 201 near the first guide rope wheel 207 and the mounting seat are in the fourth group.

[0031] The longitudinal drive mechanism includes a wire rope 205 and a tension retainer 206. A first guide pulley 207 is installed on one of the columns 103 in the first group, and a mounting base is installed on the other column 103. A first drive motor 208 is installed on one of the columns 103 in the third group, and a second guide pulley 209 is installed on the other column 103. A drive wheel is fixed to the output end of the first drive motor 208. Three third guide pulleys 210 are installed on the sides of the two L-shaped rods 201 in the fourth group, and three fourth guide pulleys 211 are installed on the sides of the two L-shaped rods 201 in the fifth group.

[0032] One end of the wire rope 205 is connected to the mounting base, and the other end first passes through the three third guide pulleys 210 on the sides of the two L-shaped rods 201 in the fourth group, and then leads to the first guide pulley 207. After being guided by the first guide pulley 207, the wire rope 205 passes around the drive wheel at the output end of the first drive motor 208, and then passes through the three fourth guide pulleys 211 installed on the sides of the two L-shaped rods 201 in the fifth group. After being guided by the second guide pulley 209, the other end of the wire rope 205 is finally connected to the tension retainer 206 to form a rope wheel drive. The tension retainer 206 is a counterweight.

[0033] There are two first temperature measuring thermal imagers 5, which are symmetrically installed on the side of the rectangular frame 203. There are four first microphones 6, which are installed at the four corners near the rectangular frame 203.

[0034] A second monitoring camera 11 is installed on the top frame 102 of the fixed platform 1. This camera establishes a data connection with the data acquisition and processing system to provide a wide-angle global top view, monitor the three-dimensional running posture and working status of the multi-axis moving module in real time, and prevent collisions.

[0035] The first monitoring camera 7 is mounted on the lower housing 402 via an electric pan-tilt unit, enabling the first monitoring camera 7 to be adjusted and rotate autonomously. The second thermal imager 8 and the second microphone 9 are respectively mounted on both sides of the first monitoring camera 7, and can rotate synchronously with the first monitoring camera 7 to collect local thermal image data and local sound signals of the heavy-duty gear transmission system at fixed points.

[0036] The lateral moving platform 3 includes two mounting plates 301 installed inside the rectangular frame 203. Two symmetrical slide rails 302 are fixedly connected to the lower surfaces of the two mounting plates 301. A moving stage 303 is slidably mounted on the slide rails 302. The vertical moving platform 4 is mounted on the lower surface of the moving stage 303. A lateral driving mechanism for driving the moving stage 303 to move is provided between the two mounting plates 301.

[0037] The transverse drive mechanism includes a second drive motor 304 and a pull rope 306 mounted on one of the mounting plates 301. The output end of the second drive motor 304 is fixed with a drive wheel, and a driven wheel is mounted on the other mounting plate 301. A hanging ear 305 is fixed on the moving table 303. The pull rope 306 is sleeved on the drive wheel and the driven wheel to form a closed loop structure. Both ends of the pull rope 306 are fixed on the hanging ear 305 respectively. In addition, in order to adjust the tension of the pull rope 306, a tension hook can be provided at one end of the pull rope 306. The pull rope 306 is suspended on the hanging ear 305 through the tension hook.

[0038] The vertical moving platform 4 includes an upper housing 401, a lower housing 402, and a scissor arm 403 disposed between the upper housing 401 and the lower housing 402. The upper housing 401 is fixed to the lower surface of the moving table 303. A lifting motor 404 is installed inside the upper housing 401. A lifting belt 405 is wound around the output end of the lifting motor 404, and the free end of the lifting belt 405 is connected to the lower housing 402.

[0039] The first drive motor 208, the second drive motor 304, and the lifting motor 404 are all integrated geared motors. The first drive motor 208 is connected to an external mains power supply via a cable, while the second drive motor 304 and the lifting motor 404 are connected to a battery pack installed on the longitudinal moving platform 2 for power supply.

[0040] The combination of the movable pulley block and the tension holder 206 enables the longitudinal moving platform to maintain a constant tension in the traction wire rope 205 when carrying some heavy sensing components of the hierarchical sensing system, absorbing mechanical impacts during start-up and shutdown. The scissor arm 403 provides lateral stiffness during vertical displacement, suppressing the swaying of local monitoring terminals during hovering and data acquisition. This configuration ensures the smooth operation of the hierarchical sensing system and effectively reduces the impact of environmental vibrations on thermal imaging, sound, and laser displacement acquisition.

[0041] In another preferred embodiment of the present invention, the hardware architecture of the data processing and control system includes a processor, a memory, and a computer program stored in the memory. When the processor executes the computer program, it implements the steps of the following monitoring method: S1. The multi-axis moving module drives the global sensing component to move, collecting global scan data of the heavy-duty gear transmission system. The anomaly identification and scheduling module compares the global scan data with a preset threshold to identify abnormal areas. Then, it drives the multi-axis moving module to move the local monitoring terminal to the abnormal area. The local monitoring terminal collects local thermal image data and local sound signals of the heavy-duty gear transmission system located in the abnormal area. Specifically, the processor schedules the multi-axis moving module to execute a cruise command. The anomaly identification and scheduling module extracts the temperature data matrix obtained by the first temperature measuring thermal imager 5 and the sound signal sequence obtained by the first microphone 6 from the global scan data. It compares the pixel temperature values ​​in the temperature data matrix with the preset temperature threshold, marks the pixels exceeding the preset temperature threshold as temperature anomalies, and performs connected component analysis on the temperature anomalies, identifying connected temperature components. The set of abnormal points is identified as an abnormal temperature region. At the same time, the short-time energy of the sound signal sequence is calculated, and signal segments exceeding the preset energy threshold are identified as abnormal sound segments. When the processor detects an abnormal temperature region or an abnormal sound segment, it obtains the real-time spatial coordinates of the longitudinal moving platform 2, and performs coordinate mapping by combining the center pixel coordinates of the abnormal temperature region or the sound source orientation parameters of the abnormal sound segment, as well as the preset calibration parameters of the first thermal imager 5 and the first microphone 6 (including focal length parameters, installation tilt angle, and the current height of the longitudinal moving platform 2). The pixel offset is converted into physical displacement offset through a perspective transformation algorithm, and vector superposition is performed with the real-time coordinates of the longitudinal moving platform 2 to calculate the physical coordinates of the abnormal region. Based on the physical coordinates, a drive command is generated to control the multi-axis moving module to move the local monitoring terminal directly above the abnormal region.

[0042] S2. The vibration signal processing module processes the displacement image of the reflected light spot acquired by the first monitoring camera 7, analyzes and outputs the vibration spectrum features. After the local monitoring terminal is in place, the vibration signal processing module performs grayscale processing on the continuous video frames acquired by the first monitoring camera 7 and extracts the region of interest of the reflected light spot. The processor uses the grayscale centroid method to calculate the centroid coordinates of the reflected light spot in each frame image, constructs a displacement sequence that changes with time, and performs a fast Fourier transform on the displacement sequence to obtain the frequency domain features of the vibration signal, and extracts the characteristic frequency amplitude as the vibration spectrum features.

[0043] S3. The multi-source fusion diagnostic module fuses vibration spectrum features, local thermal imaging data and local sound signals to output fault diagnosis results.

[0044] The multi-source fusion diagnostic module extracts the temperature gradient features of local thermal imaging data, the Mel frequency cepstral coefficient features of local sound signals, and the peak factor of vibration spectrum features to construct a multi-dimensional feature vector. The multi-dimensional feature vector is then input into a pre-trained fault diagnosis model in memory. The fault diagnosis model outputs the probability distribution of different fault types, and the processor determines the final fault diagnosis result based on the maximum probability value in the probability distribution.

[0045] By mapping pixel coordinates to physical mechanical coordinates, the problem of precise target alignment in motion monitoring is solved. The combination of grayscale centroid method and Fourier transform enables ordinary industrial cameras to replace high-frequency vibration meters. Cross-validation logic using multi-dimensional feature vectors reduces false alarms caused by single environmental factors and improves the system's diagnostic stability under complex operating conditions.

[0046] Those skilled in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of the invention is limited to these examples; within the framework of the invention, the technical features of the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity.

Claims

1. A multi-source information status monitoring platform for a heavy-duty gear transmission system, characterized in that, include: A fixed platform (1) is provided with a guide rail (101); a multi-axis moving module is provided on the fixed platform (1), including a longitudinal moving platform (2), a transverse moving platform (3) and a vertical moving platform (4), the longitudinal moving platform (2) is slidably provided on the guide rail (101), the transverse moving platform (3) is provided on the longitudinal moving platform (2), and the vertical moving platform (4) is provided vertically below the transverse moving platform (3); a hierarchical sensing system includes a global sensing component provided on the longitudinal moving platform (2) and a local monitoring terminal provided at the bottom of the vertical moving platform (4); the global sensing component includes a first A thermal imager (5) and a first microphone (6) are used to collect global scanning data of the heavy-duty gear transmission system. The local monitoring terminal includes a first monitoring camera (7), a second thermal imager (8), and a second microphone (9) for collecting local thermal image data and local sound signals of the heavy-duty gear transmission system at fixed points. The laser-assisted vibration measurement component includes a laser emitter (10) mounted on a fixed platform (1) and a laser reflector mounted on the surface of the heavy-duty gear transmission system. The laser emitted by the laser emitter (10) is reflected by the laser reflector to form a reflected light spot, and the reflected light spot is located at the first monitoring camera (7). Within the field of view; a data processing and control system is set on a fixed platform (1) and electrically connected to a multi-axis motion module and a hierarchical sensing system, wherein the data processing and control system includes an anomaly identification and scheduling module, a vibration signal calculation module and a multi-source fusion diagnostic module; the first temperature measuring thermal imager (5) and the first microphone (6) are connected to the input end of the anomaly identification and scheduling module, and the output end of the anomaly identification and scheduling module is connected to the input end of the multi-axis motion module. The anomaly identification and scheduling module is used to compare the global scan data with a preset threshold to identify the abnormal area and drive the multi-axis motion module to move the local monitoring terminal. Move to the abnormal area; the first monitoring camera (7) is connected to the input end of the vibration signal calculation module, and the output end of the vibration signal calculation module is connected to the input end of the multi-source fusion diagnosis module. The vibration signal calculation module is used to process the displacement image of the reflected light spot acquired by the first monitoring camera (7), analyze and output the vibration spectrum characteristics; the second temperature measuring thermal imager (8) and the second microphone (9) are connected to the input end of the multi-source fusion diagnosis module. The multi-source fusion diagnosis module is used to fuse the vibration spectrum characteristics, as well as the local thermal image data and local sound signals collected by the local monitoring terminal, and output the fault diagnosis results.

2. The multi-source information status monitoring platform for a heavy-duty gear transmission system according to claim 1, characterized in that, The fixed platform (1) includes a top frame (102), and two guide rails (101) are symmetrically arranged on the top frame (102). Six columns (103) are fixed on the top frame (102). The six columns (103) are divided into three groups, named the first group, the second group and the third group respectively. The second group is located between the first group and the third group. The columns (103) in the first group and the third group are provided with a longitudinal drive mechanism for driving the longitudinal moving platform (2) to move. The laser emitter (10) is installed on one of the columns (103) in the second group.

3. The multi-source information status monitoring platform for a heavy-duty gear transmission system according to claim 2, characterized in that, The longitudinal moving platform (2) includes four L-shaped rods (201). A guide rail trolley (202) is mounted on the upper surface of the L-shaped rods (201) near its end. The guide rail trolley (202) is slidably disposed in the guide rail (101). A rectangular frame (203) is fixedly connected to the top of the L-shaped rods (201). The four L-shaped rods (201) are divided into two groups, named the fourth group and the fifth group respectively. The longitudinal drive mechanism includes a wire rope (205) and a tension retainer (206). A first guide rope wheel (207) is mounted on one of the columns (103) in the first group, and a mounting seat is mounted on the other column (103). A first drive motor (208) is mounted on one of the columns (103) in the third group, and a second guide rope wheel (209) is mounted on the other column (103). A drive wheel is fixed to the output end of the first drive motor (208). Three third guide rope pulleys (210) are installed on the sides of the two L-shaped rods (201) in the fourth group, and three fourth guide rope pulleys (211) are installed on the sides of the two L-shaped rods (201) in the fifth group. One end of the wire rope (205) is connected to the mounting base, and the other end first passes through the three third guide rope pulleys (210) on the sides of the two L-shaped rods (201) in the fourth group, and then leads to the first guide rope pulley (207). After being guided by the first guide rope pulley (207), the wire rope (205) passes around the drive wheel at the output end of the first drive motor (208), then passes through the three fourth guide rope pulleys (211) installed on the sides of the two L-shaped rods (201) in the fifth group, and after being guided by the second guide rope pulley (209), the other end of the wire rope (205) is finally connected to the tension retainer (206) to form a rope wheel drive. The tension retainer (206) is a counterweight.

4. The multi-source information status monitoring platform for a heavy-duty gear transmission system according to claim 3, characterized in that, The lateral moving platform (3) includes two mounting plates (301) installed in a rectangular frame (203). Two symmetrical slide rails (302) are fixedly connected to the lower surfaces of the two mounting plates (301). A moving platform (303) is slidably arranged on the slide rails (302), and a vertical moving platform (4) is installed on the lower surface of the moving platform (303). A lateral driving mechanism for driving the moving platform (303) is provided between the two mounting plates (301). The lateral driving mechanism includes a second drive motor (304) and a pull rope (306) installed on one of the mounting plates (301). The output end of the second drive motor (304) is fixed with a drive wheel. A driven wheel is installed on the other mounting plate (301). A hanging ear (305) is fixed on the moving platform (303). The pull rope (306) is sleeved on the drive wheel and the driven wheel to form a closed loop structure. The two ends of the pull rope (306) are respectively fixed on the hanging ear (305).

5. The multi-source information status monitoring platform for a heavy-duty gear transmission system according to claim 4, characterized in that, The vertical moving platform (4) includes an upper housing (401), a lower housing (402), and a scissor arm (403) disposed between the upper housing (401) and the lower housing (402). The upper housing (401) is fixed to the lower surface of the moving platform (303). A lifting motor (404) is installed inside the upper housing (401). A lifting belt (405) is wound around the output end of the lifting motor (404), and the free end of the lifting belt (405) is connected to the lower housing (402).

6. The multi-source information status monitoring platform for a heavy-duty gear transmission system according to claim 3, characterized in that, There are two first thermal imagers (5), which are symmetrically installed on the side of the rectangular frame (203). There are four first microphones (6), which are installed at the four corners near the rectangular frame (203).

7. The multi-source information status monitoring platform for a heavy-duty gear transmission system according to claim 5, characterized in that, The first monitoring camera (7) is installed on the lower housing (402), and the second thermal imager (8) and the second microphone (9) are respectively installed on both sides of the first monitoring camera (7), which can rotate synchronously with the first monitoring camera (7) to collect local thermal image data and local sound signals of the heavy-duty gear transmission system at fixed points.

8. A method for multi-source information status monitoring of a heavy-duty gear transmission system, employing a multi-source information status monitoring platform for a heavy-duty gear transmission system as described in any one of claims 1-7, characterized in that, Includes the following steps: S1. The global sensing component is moved by the multi-axis moving module to collect global scanning data of the heavy-duty gear transmission system. The abnormality identification and scheduling module compares the global scanning data with the preset threshold to identify abnormal areas. Then, the multi-axis moving module is driven to move the local monitoring terminal to the abnormal area. The local monitoring terminal collects local thermal image data and local sound signals of the heavy-duty gear transmission system located in the abnormal area. S2. The displacement image of the reflected light spot obtained by the first monitoring camera (7) is processed by the vibration signal calculation module, and the vibration spectrum characteristics are analyzed and output. S3. The multi-source fusion diagnostic module fuses vibration spectrum features, local thermal imaging data and local sound signals to output fault diagnosis results.

9. A multi-source information status monitoring method for a heavy-duty gear transmission system according to claim 8, characterized in that: In step S1, the anomaly identification and scheduling module is specifically used to: extract the temperature data matrix obtained by the first thermal imager (5) and the sound signal sequence obtained by the first microphone (6) from the global scan data; compare the pixel temperature values ​​in the temperature data matrix with the preset temperature threshold; mark the pixels that exceed the preset temperature threshold as temperature anomalies; perform connected component analysis on the temperature anomalies; identify the connected set of temperature anomalies as a temperature anomaly region; calculate the short-time energy of the sound signal sequence; identify the signal segments that exceed the preset energy threshold as sound anomalies; when a temperature anomaly region or a sound anomaly segment is detected, obtain the real-time spatial coordinates of the longitudinal moving platform (2); combine the center pixel coordinates of the temperature anomaly region or the sound source orientation parameters of the sound anomaly segment with the preset calibration parameters of the first thermal imager (5) and the first microphone (6) to perform coordinate mapping; calculate and generate the physical coordinates of the anomaly region; generate a driving command based on the physical coordinates; and control the multi-axis moving module to move the local monitoring terminal directly above the anomaly region.

10. A multi-source information status monitoring method for a heavy-duty gear transmission system according to claim 8, characterized in that: In step S2, the vibration signal calculation module is specifically used to: perform grayscale processing on the continuous video frames acquired by the first monitoring camera (7), extract the region of interest of the reflected light spot, calculate the centroid coordinates of the reflected light spot in each frame image using the grayscale centroid method, construct a displacement sequence that changes with time, perform fast Fourier transform on the displacement sequence, obtain the frequency domain features of the vibration signal, and extract the characteristic frequency amplitude as the vibration spectrum feature; In step S3, the multi-source fusion diagnosis module is specifically used to: extract the temperature gradient features of the local thermal image data, the Mel frequency cepstral coefficient features of the local sound signal, and the peak factor of the vibration spectrum feature, respectively, and construct a multi-dimensional feature vector; input the multi-dimensional feature vector into the pre-trained fault diagnosis model, the fault diagnosis model outputs the probability distribution of different fault types, and determines the final fault diagnosis result based on the maximum probability value in the probability distribution.

Images