Low-power-consumption Internet of Things sensor module for monitoring operation of mechanical equipment

Abstract

The invention provides a low-power-consumption Internet of Things sensor module for monitoring operation of mechanical equipment, and the module can comprise an Internet of Things sensor which is attached to the mechanical equipment and is used for monitoring a state; the present invention relates to an Internet of Things sensor including a mechanical device, an Internet of Things sensor, and a piezoelectric element provided between the mechanical device and the Internet of Things sensor and using vibration generated when the mechanical device operates, the Internet of Things sensor further including: a capacitor charged with electric power generated by the piezoelectric element; and a control unit that controls whether to start the Internet of Things sensor, when the capacitor is charged with power greater than or equal to a preset value, the Internet of Things sensor is started according to a signal of the control unit and state data of the mechanical equipment is collected, so that the state data is collected only when the mechanical equipment operates, and the state data of the mechanical equipment is collected only when the capacitor is charged with power greater than or equal to a preset value. Not only can battery consumption for starting the Internet of Things sensor be reduced, but also data reliability can be improved.

Description

Technical Field

[0001] The present invention can provide a low-power Internet of Things sensor module for monitoring the operation of mechanical equipment. It determines the operation starting point of the mechanical equipment and starts the Internet of Things sensor only when the mechanical equipment is running to monitor and analyze the data of the mechanical equipment, thereby diagnosing the status and defects of the mechanical equipment. Background Art

[0002] Generally speaking, many devices are operated at industrial facilities such as power plants. In particular, many devices such as motors that continuously perform a certain motion or devices that generate a certain pattern of vibration by repetitive motion are operated.

[0003] Most of these devices are linked to each other, so if any one of them fails, the entire facility will stop operating or become dangerous. Therefore, it is necessary to continuously confirm whether each device is operating normally at the site.

[0004] However, in industrial sites such as power plants mentioned above, due to the characteristics of equipment operation, not only are many devices densely arranged in a large space, but most of the equipment also generates considerable noise. Therefore, in order to confirm whether a specific device is operating normally, the administrator needs to check the target devices set up in a large area one by one and confirm their operating status, which causes many inconveniences.

[0005] In order to solve this inconvenience, various fusion fields that apply IoT (Internet of Things) sensor technology are currently being developed. For example, a predictive maintenance technology is currently used, which uses sensors combined with IoT technology to measure the operating data of mechanical equipment and diagnoses the status and defects of the mechanical equipment by analyzing the measured data.

[0006] However, existing predictive maintenance technologies that use IoT sensors to diagnose the status and defects of mechanical equipment are operated wirelessly or the sensors are miniaturized to improve the convenience of setting up and operating IoT sensors, which leads to the problem of battery size limitations.

[0007] Additionally, existing IoT sensors are typically set to take measurements at the same time every time. However, when taking measurements at the same time every time, IoT sensors still take measurements even when the equipment is not running or when the equipment is not at full load due to variable operating conditions. Such measurements generate unnecessary data and waste battery by executing unnecessary processes.

[0008] In addition, existing IoT sensors are wireless. Although they have the advantage of reducing initial introduction costs or engineering costs, they have the disadvantage of incurring communication costs. Moreover, the communication costs are calculated based on the usage, so it is necessary to select the appropriate usage. Summary of the invention

[0009] Problems to be solved by the invention

[0010] The present invention is proposed in view of the above-mentioned problems. It can store the electric energy generated by the vibration of the running mechanical equipment in the capacitor. When the electric energy stored in the capacitor is above the preset value, the control unit starts the Internet of Things sensor to monitor the status of the mechanical equipment, so that the Internet of Things sensor is started to measure the status of the mechanical equipment only when the mechanical equipment is running.

[0011] Methods used to solve problems

[0012] According to the present invention, a low-power IoT sensor module for monitoring the operation of mechanical equipment may include: an IoT sensor, which is attached to the mechanical equipment to monitor the status; and a piezoelectric element, which is arranged between the mechanical equipment and the IoT sensor and utilizes the vibration generated when the mechanical equipment is running. The IoT sensor also includes: a capacitor, which is charged with electricity generated by the piezoelectric element; and a control unit, which controls whether to start the IoT sensor. When the power charged into the capacitor is above a preset value, the IoT sensor is started according to a signal of the control unit, and the status data of the mechanical equipment is collected.

[0013] In addition, the IoT sensor may also include a sensor unit having any one of a vibration sensor, a voltage sensor, a current sensor, a temperature sensor, a sound sensor, and a discharge signal monitoring sensor. When the mechanical equipment is running, the sensor unit is started to monitor the status of the mechanical equipment.

[0014] In addition, the IoT sensor may further include a communication unit to send and receive data with a server that analyzes and processes the collected data. The server may reduce communication costs by further removing noise from the sent and received data.

[0015] In addition, when the server confirms that the mechanical equipment has defects by analyzing the data collected from the IoT sensor, the server can classify the levels of the mechanical equipment according to the degree of defects, and send a notification of the defects of the mechanical equipment to the administrator terminal according to the levels, formulate a maintenance plan for the mechanical equipment, and suspend the operation of the mechanical equipment, any one of the notification signals.

[0016] In addition, the capacitor is set as a variable capacitor, which adjusts the power value above the preset value according to the vibration size or vibration generation time generated according to the type of the mechanical equipment, so that the starting point of the operation of the mechanical equipment can be grasped without being affected by the type of the mechanical equipment.

[0017] In addition, a real-time monitoring and maintenance method for mechanical equipment using a low-power IoT sensor module that monitors the operation of the mechanical equipment may include the following steps: the mechanical equipment generates vibrations when it is running; the vibrations generated in the mechanical equipment are transmitted to the piezoelectric element; the electric energy generated by the piezoelectric element is stored in the capacitor; it is determined whether the capacitor is charged with power above a preset value; a signal to start the IoT sensor is sent to the control unit; and the control unit monitors the operation of the mechanical equipment and starts the IoT sensor.

[0018] In addition, the following steps may also be included: the Internet of Things sensor monitors the status data of the mechanical equipment; the server analyzes and processes the monitored data to determine whether the mechanical equipment has defects; and when the mechanical equipment has defects, a notification signal is sent to the administrator terminal.

[0019] Effects of the Invention

[0020] The present invention utilizes the vibration generated when mechanical equipment is running to generate electricity and stores it in a capacitor. When the electricity stored in the capacitor is above a preset value, it is understood that the mechanical equipment is in operation, thereby monitoring the status and defects of the mechanical equipment.

[0021] Additionally, monitoring status and defects only when machinery is in operation can reduce battery consumption used to run IoT sensors. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 2 is a conceptual diagram for illustrating the structure of a low-power IoT sensor module for monitoring the operation of mechanical equipment according to the present invention.

[0023] Figure 2 is a block diagram for illustrating an Internet of Things sensor module according to the present invention.

[0024] Figure 3 The present invention is a flowchart for explaining a method for real-time monitoring and maintenance of mechanical equipment that generates vibrations during operation, using the IoT sensor module according to the present invention.

[0025] Figure 4 The present invention is a flowchart for explaining a method for real-time monitoring and maintenance of a mechanical device that generates vibration during operation, using an IoT sensor module according to an embodiment.

[0026] Description of reference numerals:

[0027] 10: IoT sensor module;

[0028] 100: IoT sensors;

[0029] 110: Capacitor;

[0030] 120: control unit;

[0031] 130: sensor unit;

[0032] 140: communication unit;

[0033] 150: Battery;

[0034] 200: piezoelectric element;

[0035] 300: Server. DETAILED DESCRIPTION

[0036] Hereinafter, embodiments of the present invention are described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement the present invention. The present invention is not limited to the embodiments described herein and can be implemented in different ways.

[0037] In order to clearly explain the present invention, parts not related to the explanation are omitted, and the same reference numerals are used for the same or similar components throughout the specification. The composition of the low-power IoT sensor module for monitoring the operation of mechanical equipment according to the present invention is not limited by the name, and different names can be used. Therefore, there is no need to be limited to the terms or names described below.

[0038] The present invention relates to a low-power Internet of Things sensor module 10 for monitoring the operation of mechanical equipment. When the vibration generated by the operation of the mechanical equipment is transmitted to the piezoelectric element 200 to generate electricity, and the generated electricity is charged into the capacitor 110. When the power charged into the capacitor 110 is above a preset value, a signal for starting the Internet of Things (IoT) sensor is sent to the control unit 120, thereby the control unit 120 starts the IoT sensor 100, which can monitor the status and defects of the mechanical equipment and collect data only when the mechanical equipment is running.

[0039] At this time, the mechanical device may include a device that continuously performs a certain motion such as a motor, or a device that generates a certain pattern of vibration by repeated motion, etc., but is not limited thereto.

[0040] The low-power IoT sensor module 10 according to the present invention may include: an IoT sensor 100, which is attached to a mechanical device to monitor the status; and a piezoelectric element 200, which is arranged between the mechanical device and the IoT sensor 100 and uses the vibration generated when the mechanical device is running to produce electricity.

[0041] In addition, the IoT sensor 100 may further include: a capacitor 110, which is charged by the power generated by the piezoelectric element 200; and a control unit 120, which controls whether to start the IoT sensor 100. At this time, the control unit 120 may also function as a main control unit (MCU).

[0042] When the power charged into the capacitor 110 is above a preset value, a signal for starting the IoT sensor 100 is sent to the control unit 120, so that the control unit 120 starts the IoT sensor 100 to collect status data about the mechanical equipment.

[0043] Thus, the IoT sensor 100 is started only when the mechanical device is running to collect the status data of the mechanical device, thereby reducing the consumption of the battery used to run the IoT sensor 100. At this time, the status data may include the status data of the running mechanical device or data for diagnosing whether a defect occurs.

[0044] At this time, considering the different vibration magnitudes and vibration generation times generated according to the type of mechanical equipment provided with the IoT sensor module 10, the preset value of power charged into the capacitor 110 can be, for example, when the charged power is more than 30% of the capacity of the capacitor 110, when the charged power is more than 50% of the capacity of the capacitor 110, when the charged power is more than 70% of the capacity of the capacitor 110, when the charged power is 100% of the capacity of the capacitor 110, etc. The numerical values ​​mentioned above are used to illustrate the preset value of power charged into the capacitor 110, and the present invention is not limited thereto and can be used in various embodiments.

[0045] In one embodiment, when the mechanical device is in a stopped state, the control unit 120 can be started in a power saving mode. At this time, the control unit 120 does not send a signal to start the IoT sensor 100. When the power charged into the capacitor 110 by the vibration generated by the operation of the mechanical device is above a preset power value, the capacitor 110 can send a trigger signal for starting the control unit 120.

[0046] Thus, the vibration generated by the operation of the mechanical device plays the role of a switch to start the control unit 120, so that the Internet of Things sensor 100 is started only when the mechanical device is running, thereby reducing the power consumption of the battery used to start the Internet of Things sensor 100.

[0047] The IoT sensor 100 may also include a sensor unit 130 having any one of a vibration sensor, a voltage sensor, a current sensor, a temperature sensor, and a sound sensor. When the IoT sensor 100 is activated according to a signal from the control unit 120 during operation of the mechanical device, the sensor unit 130 can monitor the state of the mechanical device or whether a defect occurs. At this time, when the operation of the mechanical device is interrupted, the sensor unit 130 may also stop working.

[0048] In addition, the sensor unit 130 may further include a discharge signal monitoring sensor for confirming a discharge signal of the mechanical device. The discharge signal monitoring sensor can improve the reliability of data for confirming the state of the mechanical device or whether a defect occurs.

[0049] For example, when the mechanical equipment is running, partial discharge occurs due to poor insulation, poor contact or broken wire, etc., which immediately causes defects in the mechanical equipment or gradually reduces the performance of the mechanical equipment. Therefore, the discharge signal monitoring sensor can use ultra-high frequency sensors, high-frequency current transformer sensors, ultrasonic sensors and other sensors to detect the electrical pulses generated by the partial discharge.

[0050] The IoT sensor 100 may further include a communication unit 140, so that it can send and receive data with a server 300 that analyzes and processes the collected data. The server 300 can further remove noise from the sent and received data and distinguish the data required to determine the state of the mechanical equipment or whether a defect has occurred, thereby analyzing and processing only a portion of the sent and received data, thereby reducing the communication cost charged according to usage.

[0051] The communication unit 140 may include wireless communication using a Bluetooth module, an NFC module, a Radio Frequency Identification (RFID) module, a ZigBee module, a low-power Bluetooth dual-mode (Dual-Mode) wireless communication, or an infrared (Infrared Data Association: IrDa) module, an ultrasonic communication (Ultra Sound Communication: USC), a visible light communication (Visible Light Communication: VLC), Wi-Fi Direct (Wi-Fi Direct), LoRa (Long Range), LTEM CAT M.1, a narrowband Internet of Things (NarrowBand-Internet of Things: NB-IoT) and other short-range network interfaces.

[0052] In addition, the communication unit 140 may include a 3G module, a Wi-Fi module, a WiGig module, a wireless LAN (WLAN), a Digital Living Network Alliance (DLNA), a wireless broadband access (Wireless Broadband: Wibro), a World Interoperability for Microwave Access (Wimax), a High Speed ​​Downlink Packet Access (HSDPA), a High Speed ​​Uplink Packet Access (HSUPA), IEEE 802.16, a Long Term Evolution (LTE), a Long Term Evolution-Advanced (LTE-A), a Wireless Mobile Broadband Service (WMBS), and other long-distance network interfaces.

[0053] At this time, the server 300 can send and receive analyzed and processed data with the administrator terminal, and the server 300 is applied in a cloud server mode based on big data, so compared with the general system, the network security, stability and reliability of the server 300 can be improved. In addition, the server 300 can also include an artificial intelligence model and a deep learning model.

[0054] For example, deep learning models may include recurrent neural networks (RNN), convolutional long short-term memory networks (C-LSTM), gated recurrent units (GRU), convolutional neural networks (CNN), reinforcement learning (RL) and long short-term memory networks (LSTM). Deep learning models can remove noise from sent and received data and can distinguish the data required to determine the state of the mechanical equipment or whether a defect has occurred.

[0055] The administrator terminal may include a PC, a laptop, a PDA, a smart phone, a tablet computer, etc., which can be accessed by an administrator who manages the area where the mechanical equipment is installed or an employee who is responsible for the maintenance of the mechanical equipment.

[0056] The server 300 can analyze the time and pattern when the amount of electricity stored in the capacitor 110 reaches a preset value to pre-determine whether the mechanical equipment has defects and status information, so as to quickly perform maintenance on the mechanical equipment.

[0057] In one embodiment, the server 300 can analyze the time and pattern when the amount of electricity stored in the capacitor 110 reaches a preset value by analyzing the data collected during the operation of the mechanical device. At this time, the server 300 analyzes the historical records of the data collected by the IoT sensor 100, and by comparing the patterns collected when the mechanical device is running, it can be confirmed whether the data is collected immediately after the mechanical device is running or after a certain period of time. Therefore, even if the IoT sensor 100 is only started when the mechanical device is running, the server 300 can analyze the time or pattern when the amount of electricity stored in the capacitor 110 reaches a preset value.

[0058] For example, when the mechanical equipment is running and vibrates and the time required to charge the capacitor 110 with power above a preset value is 3 seconds, the server 300 can collect the time and pattern required to run the mechanical equipment and start the IoT sensor 100 to collect the status and defect data of the mechanical equipment.

[0059] When data exceeding the error range is confirmed from the collected time, it can be determined that the mechanical equipment has a defect, and the server 300 can send a notification and signal of the defect to the administrator terminal.

[0060] In one embodiment, when the error range is 1 second, if the time required to charge the capacitor 110 with power above the preset value is less than 2 seconds and is greater than 4 seconds, the server 300 may determine that the mechanical device has a defect. At this time, the error range may be adjusted according to the administrator's settings.

[0061] At this time, the time and pattern collected by the server 300 are used to illustrate the following situations: by confirming that the mechanical equipment without defects is running and vibrates and the time required to charge the capacitor 110 with power exceeding the preset value, and the situation that the magnitude of the vibration during operation of the mechanical equipment changes when the mechanical equipment has defects and the time required to charge the capacitor 110 with power exceeding the preset value is shortened or increased, it can be determined whether the mechanical equipment has defects. Therefore, the time and pattern collected by the server 300 are not limited to this.

[0062] In addition, in a preferred embodiment, while the mechanical equipment is running and vibrating, the capacitor 110 is charged with power exceeding a preset value, and the control unit 120 starts the IoT sensor 100, so that the status and defect data of the mechanical equipment can be collected. At this time, when the mechanical equipment has a defect, the time required to operate the mechanical equipment and start the IoT sensor 100 may be delayed. In this way, the problem of reduced reliability of the data collected by the IoT sensor 100 can be prevented, and the defects of the mechanical equipment can be confirmed and maintenance can be performed.

[0063] When the server 300 analyzes the data collected by the IoT sensor 100 and confirms that the mechanical equipment has defects based on the data, the server 300 can classify the mechanical equipment into levels according to the degree of defects, and send a notification of the mechanical equipment defect to the administrator terminal according to the level, formulate a maintenance plan for the mechanical equipment, and suspend the operation of the mechanical equipment, any one of the notification signals.

[0064] For example, the degree of defect of the mechanical equipment can be divided into slight defect, deep defect, serious defect and fatal defect. At this time, when a slight defect occurs, a notification signal of the defect of the mechanical equipment can be sent to the administrator terminal.

[0065] In addition, when a deep defect or a serious defect occurs, the server 300 can formulate a maintenance plan and send it to the administrator terminal. For example, the server 300 confirms the schedule of the administrator or employee who can perform maintenance, calculates the result of the mechanical equipment running in a defective state and the loss caused by the downtime during maintenance, etc., formulates a maintenance plan, and sends it to the administrator terminal.

[0066] In addition, when a fatal defect occurs, it may cause a major accident, so the operation of the mechanical equipment is interrupted, and the information that the operation is interrupted due to the fatal defect of the mechanical equipment is notified to the administrator terminal.

[0067] The IoT sensor module 10 may further include a battery 150 for supplying power to the IoT sensor 100 . When the power charged into the capacitor 100 is greater than a preset value, the battery 150 may supply power for starting the IoT sensor 100 .

[0068] The server 300 can distinguish between the vibration generated by the mechanical device and the vibration pattern based on external factors. When the capacitor 110 is charged by the vibration based on external factors, the Internet of Things sensor 100 is not started regardless of whether a preset value is reached, and the power charged in the capacitor 110 can be charged into the battery 150.

[0069] In one embodiment, the vibration mode can be distinguished into intermittent vibration and periodic vibration, or can be distinguished based on the difference in vibration intensity, thereby distinguishing between vibration generated by the mechanical device and vibration generated outside the mechanical device.

[0070] In one embodiment, the IoT sensor 100 may further include an RCT (Real Time Clock) module that is started independently of the startup of the IoT sensor 100. The RCT module (not shown in the drawings) may collect data about the current time and send it to the control unit 120, or may present the time of the control unit 120 or a regular schedule of the control unit 120. In addition, when the mechanical device is not in operation, the data and startup settings of the control unit 120 or the IoT sensor 100 may be partially maintained.

[0071] At this time, the RCT module may also include a coin-shaped lithium battery and a second capacitor for supplying power to the RCT module. When the power charged into the capacitor 110 is above a preset value, the power of the capacitor 110 is charged into the second capacitor, so that the second capacitor plays a role in assisting the power of the coin-shaped lithium battery. For example, when the second capacitor is charged with power, the second capacitor replaces the coin-shaped lithium battery to provide power for starting the RCT module, thereby increasing the service life of the coin-shaped lithium battery and extending the replacement cycle. Therefore, the replacement cycle of ordinary coin-shaped lithium batteries, i.e., 2 to 3 years, can be extended to 4 to 5 years or longer.

[0072] In addition, the capacitor 110 is configured as a variable capacitor, thereby adjusting the power value above the preset value according to the vibration size or vibration generation time generated according to the type of the mechanical equipment, so that the operation starting point of the mechanical equipment can be accurately grasped regardless of the type of the mechanical equipment to start the Internet of Things sensor 100.

[0073] For example, the capacity of the power that can be charged into the variable capacitor can be arbitrarily adjusted by the administrator. At this time, depending on the type of the mechanical device, the magnitude and time of the vibration generated are different, resulting in the amount of power generated by the piezoelectric element 200 being not constant, so even if the mechanical device is running, it may be impossible to send a signal for starting the IoT sensor 100 to the control unit 120.

[0074] Therefore, the capacitor 110 may be configured as a variable capacitor so as to adjust the capacity of the capacitor 110, so that even when the piezoelectric element 200 generates a very small amount of power, a signal for starting the IoT sensor 100 can be sent to the control unit 120. In one embodiment, the capacity of the capacitor 110 may be adjusted so that when it is fully charged to a preset capacity, a signal for starting the IoT sensor 100 is sent to the control unit 120.

[0075] For example, when the capacity of the capacitor 110 is large, even if the mechanical device is in operation, it will take a long time for the capacitor 110 to be charged with a power exceeding the preset value. Therefore, the IoT sensor 100 cannot accurately grasp the operation start point of the mechanical device, making it difficult to obtain accurate data on the status of the mechanical device and whether there are defects.

[0076] like Figure 3As shown, the real-time monitoring and maintenance method of mechanical equipment using the low-power IoT sensor module 10 by monitoring the operation of the mechanical equipment according to the present invention may include: step S100 of generating vibration when the mechanical equipment is running; step S200 of transmitting the vibration generated by the mechanical equipment to the piezoelectric element 200; step S300 of storing the electricity generated by the piezoelectric element 200 in the capacitor 110; and step S400 of judging whether the capacitor 110 is charged with electricity above a preset value.

[0077] At this time, it may include: when the amount of electricity charged into the capacitor 110 is greater than a preset value, a step S500 of sending a signal for starting the IoT sensor 100 to the control unit 120; and a step S600 of the control unit 120 monitoring the operation of the mechanical equipment and starting the IoT sensor 100.

[0078] In addition, if Figure 4 As shown, after the control unit 120 monitors the operation of the mechanical equipment and starts the step S600 of the IoT sensor 100, the following may also be included: the IoT sensor 100 monitors the status data of the mechanical equipment in step S700; and the server 300 analyzes and processes the monitored data to determine whether the mechanical equipment has a defect in step S800. At this time, the following may also include a step S900 of sending a notification signal to the administrator terminal when a defect occurs in the mechanical equipment.

[0079] As described above, the present invention can be applied by modification and substitution so as to be applicable to various specifications, shapes and standards. The present invention described above is not limited to the aforementioned embodiments and drawings, and those skilled in the art can clearly understand that simple substitution, deformation and modification can be made within the scope of the technical concept of the present invention.

[0080] Industrial Applicability

[0081] The present invention can provide a low-power Internet of Things sensor module that monitors the operation of mechanical equipment. It determines the starting point of the operation of the mechanical equipment and starts the Internet of Things sensor only when the mechanical equipment is running, so as to monitor and analyze the data of the running mechanical equipment, thereby being able to diagnose the status and defects of the mechanical equipment.

Claims

1. A low-power IoT sensor module for monitoring the operation of mechanical equipment, characterized in that: The low-power IoT sensor module includes: IoT sensors attached to the mechanical equipment to monitor the status; and The piezoelectric element is arranged between the mechanical device and the IoT sensor, and utilizes the vibration generated when the mechanical device is running. The IoT sensor also includes: A capacitor that charges the electric power generated in the piezoelectric element; and A control unit, which controls whether to start the IoT sensor, When the capacitor is charged with power exceeding a preset value, the IoT sensor is started according to a signal from the control unit and status data of the mechanical equipment is collected.

2. The low-power IoT sensor module according to claim 1, characterized in that: The IoT sensor also includes a sensor unit having any one or more of a vibration sensor, a voltage sensor, a current sensor, a temperature sensor, a sound sensor, and a discharge signal monitoring sensor. When the mechanical device is in operation, the sensor unit is activated to monitor the status of the mechanical device.

3. The low-power IoT sensor module according to claim 1, characterized in that: The IoT sensor also includes a communication unit that sends and receives data with a server that analyzes and processes the collected data. The server further reduces noise in the sent and received data to reduce communication costs.

4. The low-power IoT sensor module according to claim 3, characterized in that: When the server analyzes the data collected by the IoT sensor and confirms that the mechanical equipment has defects, the server classifies the levels of the mechanical equipment according to the degree of defects, and sends a notification of the defects of the mechanical equipment to the administrator terminal, formulates a maintenance plan for the mechanical equipment, and interrupts the operation of the mechanical equipment, any one of the notification signals.

5. The low-power IoT sensor module according to claim 1, characterized in that: The capacitor is configured as a variable capacitor, which adjusts a power value above a preset value according to the vibration magnitude or vibration generation time generated according to the type of the mechanical device, thereby being able to grasp the operation starting point of the mechanical device regardless of the type of the mechanical device.

6. A real-time monitoring and maintenance method for mechanical equipment that generates vibration during operation, which is a real-time monitoring and maintenance method for mechanical equipment using the low-power Internet of Things sensor module described in any one of claims 1 to 5, characterized in that: The real-time monitoring and maintenance method comprises: The step of generating vibration by operation of the mechanical equipment; The step of transmitting the vibration generated by the mechanical device to the piezoelectric element; The step of storing the power generated by the piezoelectric element in the capacitor; A step of determining whether the capacitor is charged with power exceeding a preset value; The step of sending a signal to the control unit to activate the IoT sensor; and The control unit monitors the operation of the mechanical equipment and starts the step of the Internet of Things sensor.

7. The real-time monitoring and maintenance method for mechanical equipment that generates vibration during operation according to claim 6, characterized in that: The real-time monitoring and maintenance method further comprises: The step of monitoring the status data of the mechanical equipment by the IoT sensor; The server analyzes and processes the monitored data to determine whether the mechanical equipment has defects; and The step of sending a notification signal to the administrator terminal when a defect occurs in the mechanical equipment.

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