A coal mine mechanical equipment parameter acquisition and edge computing health diagnosis system

Abstract

The application provides a coal mine mechanical equipment parameter acquisition and edge computing health diagnosis system, which comprises a shell, an internal accommodating cavity, an edge computing processor installed in the accommodating cavity, a vibration sensor, a temperature sensor, a current sensor and a stress sensor, an output end of each sensor being in communication connection with an input end of the edge computing processor, a buzzer fixedly connected with an outer wall of the shell, a control end of the buzzer being in communication connection with an output end of the edge computing processor, an automatic lubricator and a fan, control ends of the automatic lubricator and the fan being in communication connection with the output end of the edge computing processor, and a lithium battery pack installed in the accommodating cavity and electrically connected with the edge computing processor and the buzzer. The application can comprehensively master the equipment running state through multi-parameter monitoring of the equipment by the various sensors, can issue an alarm when monitoring an abnormality, can be timely overhauled by the staff, and can be preliminarily processed by the automatic lubricator and the fan when the vibration and temperature are abnormal, so that further equipment failure is prevented.

Description

Technical Field

[0001] This utility model relates to the field of coal mine machinery and equipment monitoring technology, specifically to a coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system. Background Technology

[0002] Coal mining machinery and equipment are essential tools in the coal mining process, and their operational status directly affects the safety and efficiency of coal mine production. Equipment such as tunneling machines, conveying equipment, and hydraulic supports operate in harsh environments for extended periods, often affected by high dust levels, high humidity, and vibration. The operating parameters of this equipment are key indicators for assessing its operational status and the risk of failure. Real-time collection and analysis of these parameters can effectively ensure the normal operation of the equipment.

[0003] Currently, methods for monitoring the operational status of coal mine machinery and equipment are gradually shifting from traditional periodic manual inspections towards automation and intelligence. Some equipment is beginning to be equipped with sensors and data acquisition devices to obtain operational data and transmit it to monitoring systems. However, existing technologies mainly focus on the acquisition and analysis of single parameters, lacking the ability to comprehensively monitor multiple parameters of the equipment. Moreover, most monitoring devices fail to integrate real-time data for intelligent maintenance, making it easy for minor faults to accumulate and lead to equipment downtime or even safety accidents. Utility Model Content

[0004] In view of this, the present invention provides a coal mine machinery equipment parameter acquisition and edge computing health diagnosis system to solve the above-mentioned technical problems.

[0005] The coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system provided by this utility model includes:

[0006] A housing, wherein a receiving cavity is provided inside the housing;

[0007] An edge computing processor is installed within the receiving cavity;

[0008] The system includes a vibration sensor, a temperature sensor, a current sensor, and a stress sensor, with the output terminals of the vibration sensor, the temperature sensor, the current sensor, and the stress sensor respectively communicatively connected to the input terminal of the edge computing processor.

[0009] A buzzer is fixedly connected to the outer wall of the housing, and the control terminal of the buzzer is communicatively connected to the output terminal of the edge computing processor.

[0010] An automatic lubricator, wherein the control terminal of the automatic lubricator is communicatively connected to the output terminal of the edge computing processor;

[0011] A fan, wherein the control terminal of the fan is communicatively connected to the output terminal of the edge computing processor;

[0012] A lithium battery pack is installed within the receiving cavity and is electrically connected to the edge computing processor and the buzzer.

[0013] Optionally, the coal mine machinery equipment parameter acquisition and edge computing health diagnosis system further includes: a data storage device, which is disposed in the receiving cavity, and the input end of the data storage device is communicatively connected to the output end of the edge computing processor.

[0014] Optionally, the coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system further includes: multiple partitions, the multiple partitions dividing the receiving cavity into multiple receiving cavities, and the partitions having through-holes.

[0015] Optionally, the coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system further includes a sealing ring, which is fixedly connected to the inner wall of the communicating hole.

[0016] Optionally, the coal mine machinery equipment parameter acquisition and edge computing health diagnosis system further includes: a wireless communication module, which is fixed to the outer wall of the housing, communicates with the edge computing processor, and is used to communicate with the remote monitoring platform.

[0017] Optionally, the coal mine machinery equipment parameter acquisition and edge computing health diagnosis system further includes: a vibration energy harvesting unit, which is electrically connected to the lithium battery pack to supply power to the lithium battery pack.

[0018] Optionally, the coal mine machinery equipment parameter acquisition and edge computing health diagnosis system further includes: a warning light, which is fixedly connected to the outer wall of the housing, and the control terminal of the warning light is communicatively connected to the output terminal of the edge computing processor.

[0019] Optionally, the coal mine machinery equipment parameter acquisition and edge computing health diagnosis system further includes: a display screen, which is fixedly connected to the outer wall of the housing, and the input end of the display screen is communicatively connected to the output end of the edge computing processor.

[0020] Optionally, the coal mine machinery equipment parameter acquisition and edge computing health diagnosis system further includes: a base, which is fixedly connected to the outer wall of the housing.

[0021] Optionally, the coal mine machinery equipment parameter acquisition and edge computing health diagnosis system further includes: a shock-absorbing pad, which is fixedly connected to the side surface of the base facing away from the housing.

[0022] The technical solution provided by this utility model has at least the following beneficial effects compared with the prior art:

[0023] This utility model of a coal mine machinery equipment parameter acquisition and edge computing health diagnosis system monitors multiple parameters of coal mine machinery equipment, such as vibration, temperature, current, and stress, through various sensors. It also uses an edge computing processor to comprehensively analyze the data, enabling a complete understanding of the equipment's operating status. When the monitored data is abnormal, an alarm is issued, allowing staff to carry out timely maintenance. Furthermore, in case of abnormal vibration and temperature, the system can perform preliminary treatment with the help of automatic lubricators and fans before staff arrive, preventing further equipment failure. Attached Figure Description

[0024] Figure 1 This is a schematic diagram of a coal mine machinery equipment parameter acquisition and edge computing health diagnosis system according to an embodiment of the present invention;

[0025] Figure 2 This is a block diagram showing the connection between various sensors and the edge computing processor in a coal mine machinery equipment parameter acquisition and edge computing health diagnosis system according to an embodiment of the present invention.

[0026] Figure label:

[0027] 1: Housing; 2: Edge computing processor; 3: Vibration sensor; 4: Temperature sensor; 5: Current sensor; 6: Stress sensor; 7: Buzzer; 8: Automatic lubricator; 9: Fan; 10: Lithium battery pack; 11: Data storage device; 12: Partition; 13: Wireless communication module; 14: Warning light; 15: Base; 16: Anti-vibration pad. Detailed Implementation

[0028] The embodiments of this utility model will be further described below with reference to the accompanying drawings. In the description of this utility model, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are only for the purpose of simplifying the description of this utility model. They do not indicate or imply that the device or component referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this utility model. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. The terms "first position" and "second position" refer to two different positions.

[0029] Figure 1 This is a schematic diagram of a coal mine machinery equipment parameter acquisition and edge computing health diagnosis system according to an embodiment of the present invention; Figure 2This is a block diagram showing the connection between various sensors and the edge computing processor in a coal mine machinery equipment parameter acquisition and edge computing health diagnosis system according to an embodiment of this utility model. Figure 1 and Figure 2 As shown, the coal mine machinery equipment parameter acquisition and edge computing health diagnosis system includes a housing 1, an edge computing processor 2, a vibration sensor 3, a temperature sensor 4, a current sensor 5, a stress sensor 6, a buzzer 7, an automatic lubricator 8, a fan 9, and a lithium battery pack 10. The housing 1 has a receiving cavity; the edge computing processor 2 is installed inside the receiving cavity; the outputs of the vibration sensor 3, temperature sensor 4, current sensor 5, and stress sensor 6 are respectively communicatively connected to the input of the edge computing processor 2; the buzzer 7 is fixedly connected to the outer wall of the housing 1, and the control terminal of the buzzer 7 is communicatively connected to the output of the edge computing processor 2; the control terminal of the automatic lubricator 8 is communicatively connected to the output of the edge computing processor 2; the control terminal of the fan 9 is communicatively connected to the output of the edge computing processor 2; the lithium battery pack 10 is installed inside the receiving cavity and is electrically connected to the edge computing processor 2 and the buzzer 7.

[0030] In use, the housing 1 is fixed to a suitable position on the coal mining machinery. The vibration sensor 3 is installed on the rotating parts of the machinery, such as the bearings. The temperature sensor 4 is placed on parts that are prone to overheating during operation, such as the motor housing. The current sensor 5 is installed on the power supply line of the equipment. The stress sensor 6 is placed on the critical load-bearing parts of the equipment, such as the support shaft. The automatic lubricator 8 is placed on the rotating parts, with its oil outlet aligned with the rotating parts. The fan 9 is positioned at the location of the equipment prone to overheating. Multiple clearance holes are provided through the housing 1, through which multiple cables pass and are connected to the input end of the edge computing processor 2. Each sensor is connected to a cable, thereby achieving communication with the edge computing processor 2 via the cable. To prevent dust, moisture, etc., from entering the housing 1 through the clearance holes, a sealing ring can be fixed on the inner wall of the clearance holes, so that after the cable passes through the clearance hole, it is tightly abutted against the sealing ring in the circumferential direction.

[0031] Vibration sensor 3 monitors the vibration data of rotating components in real time and transmits the data to edge computing processor 2 in real time. Temperature sensor 4 monitors the temperature data of easily heated parts of the equipment in real time and transmits the data to edge computing processor 2 in real time. Current sensor 5 monitors the load current data of the power supply line in real time and transmits the data to edge computing processor 2 in real time. Stress sensor 6 monitors the stress data of stressed components in real time and transmits the data to edge computing processor 2 in real time. Edge computing processor 2 receives the vibration data and compares it with internally stored preset vibration thresholds. When the vibration data exceeds the preset threshold, it indicates abnormal vibration of rotating components such as bearings where vibration sensor 3 is located, which may indicate wear. Edge computing processor 2 receives temperature data and compares it with internally stored preset temperature thresholds. When the temperature data exceeds the preset threshold, it indicates abnormal temperature of easily heated components such as motors where temperature sensor 4 is located, which may indicate a malfunction. Edge computing processor 2 receives load current data and compares it with internally stored preset current thresholds. When the load current data exceeds the preset current threshold, it indicates an abnormality in the power supply line, which may indicate a malfunction. Edge computing processor 2 receives stress data and compares it with internally stored preset stress thresholds. When the stress data exceeds the preset stress threshold, it indicates abnormal stress on load-bearing components such as the support shaft, suggesting a potential malfunction. In any of these abnormal situations, edge computing processor 2 outputs an alarm signal to buzzer 7, triggering an audible alarm to alert personnel that the equipment needs maintenance. Simultaneously, when edge computing processor 2 determines from vibration data that rotating components are vibrating abnormally and may be experiencing wear, it outputs a start signal to automatic lubricator 8, opening its oil outlet to replenish lubricating oil to the rotating components, reducing friction before personnel arrive. When edge computing processor 2 determines from temperature data that components prone to overheating are at an abnormal temperature, it outputs a start signal to fan 9, turning it on to accelerate airflow around motors and other heat-prone components, cooling them before personnel arrive.

[0032] The coal mine machinery equipment parameter acquisition and edge computing health diagnosis system of this utility model monitors multiple parameters of coal mine machinery equipment, such as vibration, temperature, current and stress, through various sensors. It uses edge computing processor 2 to comprehensively analyze the data, which can fully grasp the operating status of the equipment and issue alarms when the monitored data is abnormal, so that the staff can carry out maintenance in time. Moreover, when vibration and temperature are abnormal, the automatic lubricator 8 and fan 9 can be used to perform preliminary treatment before the staff arrive, preventing further equipment failure.

[0033] In this embodiment, the housing 1 is a sealed structure made of high-strength aluminum alloy with an anodized surface, providing dustproof, waterproof, and impact-resistant properties, with an IP67 protection rating, suitable for the high dust and high humidity environment of underground coal mines. The lithium battery pack 10 provides power to the edge computing processor 2 and the buzzer 7. The edge computing processor 2 is a mature existing technology, and its specific structure and working principle will not be described in detail here. The automatic lubricator 8 stores lubricating oil. Under the control of the opening signal output by the edge computing processor 2, it opens the oil outlet to deliver lubricating oil to the rotating parts. The automatic lubricator 8 is also a mature existing technology, and its specific structure and working principle will not be described in detail here. The edge computing processor 2 determines whether the equipment is operating abnormally based on the monitoring data of various sensors, and controls the buzzer 7 to sound an alarm in case of an abnormality. The control logic for controlling the automatic lubricator 8 or the fan 9 to start can be implemented using existing mature algorithms, and its specific principle will not be described in detail here.

[0034] Optionally, the coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system also includes a data storage device 11, which is disposed in the receiving cavity, and the input end of the data storage device 11 is communicatively connected to the output end of the edge computing processor 2.

[0035] The data storage device 11 is an industrial-grade storage device that communicates with the edge computing processor 2. It is used to store operating parameter data and historical records such as vibration data, temperature data, load current data, and stress data received by the edge computing processor 2, for subsequent retrieval and trend analysis. The data storage device 11 is a mature existing technology, and its specific structure and working principle will not be described in detail here.

[0036] Optionally, the coal mine machinery equipment parameter acquisition and edge computing health diagnosis system also includes multiple partitions 12, which divide the receiving cavity into multiple accommodating cavities. Each partition 12 has a through-hole. This arrangement allows for independent separation between the multiple accommodating cavities, enabling the edge computing processor 2, lithium battery pack 10, and data storage device 11 to be placed in different accommodating cavities, avoiding mutual interference. The edge computing processor 2 is electrically connected to the lithium battery pack 10 via cables, and the edge computing processor 2 is communicatively connected to the data storage device 11 via cables. The cables can pass through the through-holes in the partitions 12 to connect components within different accommodating cavities. The number of partitions 12 and their specific arrangement within the housing 1 can be adjusted appropriately according to the actual application.

[0037] Optionally, the coal mine machinery equipment parameter acquisition and edge computing health diagnosis system also includes a sealing ring, which is fixedly connected to the inner wall of the connecting hole. This configuration allows the cables connecting the edge computing processor 2 to the lithium battery pack 10, or connecting the edge computing processor 2 to the data storage device 11, to fit tightly against the inner wall of the sealing ring after passing through the connecting hole, preventing gaps and making the different accommodating cavities more relatively independent, thus avoiding electromagnetic interference between the different accommodating cavities.

[0038] Optionally, the coal mine machinery equipment parameter acquisition and edge computing health diagnosis system also includes a wireless communication module 13. The wireless communication module 13 is fixed to the outer wall of the housing 1, communicates with the edge computing processor 2, and is used to communicate with the remote monitoring platform. With the help of the wireless communication module 13, the data monitored by each sensor received by the edge computing processor 2, as well as the information on whether the equipment is faulty based on the monitoring data, can be transmitted in real time to the remote monitoring platform and displayed on the remote monitoring platform, which helps remote monitoring personnel to grasp the operating status of the equipment in real time.

[0039] The wireless communication module 13 supports Wi-Fi, LoRa and 5G communication protocols. Both the wireless communication module 13 and the remote monitoring platform are mature existing technologies, and their specific structures and working principles will not be described in detail here.

[0040] Optionally, the coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system also includes a vibration energy harvesting unit (not shown), which is electrically connected to the lithium battery pack 10 to supply power to the lithium battery pack 10.

[0041] The vibration energy harvesting unit is installed at the vibration location of the mechanical equipment and includes a vibration energy harvester and an energy converter. The vibration energy harvester collects the vibration energy generated by the equipment operation, and the energy converter converts this vibration energy into electrical energy, which is then supplied to the lithium battery pack 10 to power the lithium battery pack 10. This power supply method, combining the lithium battery pack 10 with the vibration energy harvesting unit, improves the system's endurance. The vibration energy harvesting unit is a mature existing technology, and its specific structure and working principle will not be described in detail here.

[0042] Optionally, the coal mine machinery equipment parameter acquisition and edge computing health diagnosis system also includes a warning light 14. The warning light 14 is fixedly connected to the outer wall of the housing 1, and the control terminal of the warning light 14 is communicatively connected to the output terminal of the edge computing processor 2. By adding the warning light 14, when the edge computing processor 2 determines that the equipment is malfunctioning based on data monitored by various sensors, it controls the buzzer 7 to issue an audible alarm and simultaneously controls the warning light 14 to issue a visual alarm, further notifying personnel to quickly perform maintenance. The warning light 14 can be connected to the lithium battery pack 10 via a cable to obtain power.

[0043] Optionally, the coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system also includes a display screen (not shown). The display screen is fixedly connected to the outer wall of the housing 1, and the input end of the display screen is communicatively connected to the output end of the edge computing processor 2. By setting up the display screen, the edge computing processor 2 can transmit the data received from each sensor to the display screen in real time, which helps on-site personnel to monitor the operation of the equipment in real time.

[0044] Optionally, the coal mine machinery equipment parameter acquisition and edge computing health diagnosis system also includes a base 15, which is fixedly connected to the outer wall of the housing 1. This arrangement facilitates fixing the housing 1 to the equipment surface via the base 15, avoiding damage caused by direct connection operations to the housing 1.

[0045] In this embodiment, the base 15 is configured as a cuboid plate with a cross-section larger than that of the housing 1, and can be connected to the surface of the equipment by bolts.

[0046] Optionally, the coal mine machinery equipment parameter acquisition and edge computing health diagnosis system also includes a shock-absorbing pad 16, which is fixedly connected to the side surface of the base 15 facing away from the housing 1. This arrangement can reduce the impact of equipment vibration on the housing 1 and the internal edge computing processor 2 by means of the shock-absorbing pad 16.

[0047] The following is an application example:

[0048] As a core piece of equipment in coal mining, the tunneling machine operates in a complex environment and its condition is affected by various factors, often resulting in malfunctions due to abnormal vibration, overload operation, and insufficient lubrication. To ensure the safe and stable operation of the tunneling machine, this utility model of a coal mine machinery equipment parameter acquisition and edge computing health diagnosis system is applied to the tunneling machine.

[0049] The housing 1 is fixed to a suitable position on the surface of the tunneling machine. Vibration sensor 3 is installed on the main bearing of the tunneling machine to monitor its vibration data. Temperature sensor 4 is placed on the housing of the tunneling machine motor to monitor its temperature data. Current sensor 5 is connected to the power supply line of the tunneling machine to detect the load current data of the line. Stress sensor 6 is fixed on the support shaft of the tunneling machine's cutting head to monitor the stress data of the support shaft. Automatic lubricator 8 is placed at the main bearing, and fan 9 is placed at the motor. After starting the tunneling machine, each sensor begins to work and transmits the monitored vibration data, temperature data, load current data, and stress data to edge computing processor 2. Edge computing processor 2 compares the received data with the pre-stored settings corresponding to stable equipment operation. When the comparison results indicate abnormal vibration data, abnormal temperature data, abnormal load current data, or abnormal stress data, it indicates a possible malfunction in the equipment. At this time, edge computing processor 2 controls buzzer 7 to issue an audible alarm and controls warning light 14 to issue a visual alarm, thereby prompting personnel to perform maintenance. Meanwhile, when vibration data is abnormal, the edge computing processor 2 controls the automatic lubricator 8 to release lubricating oil to the main bearing; when temperature data is abnormal, the edge computing processor 2 controls the fan 9 to turn on to cool the area around the motor. In addition, the edge computing processor 2 also uploads the received data to the coal mine remote monitoring platform via the wireless communication module 13, and simultaneously stores the data in the data storage device 11.

[0050] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this utility model, and are not intended to limit it. Although this utility model has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this utility model.

Claims

1. A coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system, characterized in that, include: A housing, wherein a receiving cavity is provided inside the housing; An edge computing processor is installed within the receiving cavity; The system includes a vibration sensor, a temperature sensor, a current sensor, and a stress sensor, with the output terminals of the vibration sensor, the temperature sensor, the current sensor, and the stress sensor respectively communicatively connected to the input terminal of the edge computing processor. A buzzer is fixedly connected to the outer wall of the housing, and the control terminal of the buzzer is communicatively connected to the output terminal of the edge computing processor. An automatic lubricator, wherein the control terminal of the automatic lubricator is communicatively connected to the output terminal of the edge computing processor; A fan, wherein the control terminal of the fan is communicatively connected to the output terminal of the edge computing processor; A lithium battery pack is installed within the receiving cavity and is electrically connected to the edge computing processor and the buzzer.

2. The coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system according to claim 1, characterized in that, Also includes: A data storage device is disposed within the receiving cavity, and the input terminal of the data storage device is communicatively connected to the output terminal of the edge computing processor.

3. The coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system according to claim 2, characterized in that, Also includes: Multiple partitions divide the receiving cavity into multiple receiving cavities, and the partitions are provided with through-holes.

4. The coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system according to claim 3, characterized in that, Also includes: A sealing ring is fixedly connected to the inner wall of the communicating hole.

5. The coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system according to any one of claims 1-4, characterized in that, Also includes: A wireless communication module is fixed to the outer wall of the housing, communicates with the edge computing processor, and is used to communicate with a remote monitoring platform.

6. The coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system according to any one of claims 1-4, characterized in that, Also includes: A vibration energy harvesting unit is electrically connected to the lithium battery pack and supplies power to the lithium battery pack.

7. The coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system according to any one of claims 1-4, characterized in that, Also includes: The warning light is fixedly connected to the outer wall of the housing, and the control terminal of the warning light is communicatively connected to the output terminal of the edge computing processor.

8. The coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system according to any one of claims 1-4, characterized in that, Also includes: The display screen is fixedly connected to the outer wall of the housing, and the input terminal of the display screen is communicatively connected to the output terminal of the edge computing processor.

9. The coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system according to any one of claims 1-4, characterized in that, Also includes: The base is fixedly connected to the outer wall of the housing.

10. The coal mine machinery and equipment parameter acquisition and edge computing health diagnosis system according to claim 9, characterized in that, Also includes: The shock-absorbing pad is fixedly connected to the side surface of the base facing away from the housing.

Images