An embedded intelligent sensing device for stope ground pressure

Abstract

The application provides a stope mine pressure embedded intelligent sensing device, which comprises a pressure sensor, a sensor edge end, an embedded computing unit, a data bus and a communication engine, the pressure sensor is used for monitoring a mine pressure electric signal and is electrically connected with the sensor edge end, the sensor edge end performs analog-digital conversion on the mine pressure electric signal and is electrically connected with the embedded computing unit, the embedded computing unit performs real-time analysis and monitoring and early warning on the mine pressure digital signal after analog-digital conversion and is electrically connected with the communication engine through the data bus, and the communication engine feeds back monitoring data and early warning information to relevant personnel in real time. Through the embedded electronic technology, the device solves the problems of signal shielding and surrounding environment interference in the cable transmission process of monitoring data in the underground, improves the adaptability of the existing stope mine pressure monitoring system to the complex environment of underground mines, realizes real-time synchronization of monitoring data acquisition and prediction and early warning, and maximally improves the real-time performance of early warning.

Description

Technical Field

[0001] This invention relates to the field of intelligent safety monitoring technology for underground engineering, specifically to an embedded intelligent sensing device for mining pressure. Background Technology

[0002] Underground mines are among the areas most prone to safety accidents, primarily involving risks such as coal and gas outbursts, roof falls, and fires. As mining operations progress, the surrounding rock mass shifts, deforms, and breaks down, potentially leading to mine pressure phenomena under pressure. Therefore, to ensure the safety of on-site personnel, it is essential to monitor the rock pressure, deformation, and displacement in the mine in real time and accurately during underground mining operations.

[0003] Mining pressure monitoring systems are widely used in mining industries such as coal mines and metal mines. Traditional monitoring systems are usually divided into two parts: above-ground and underground. Pressure sensors, displacement sensors, and other sensing systems are installed underground in the areas to be monitored. The monitoring data is transmitted to the surface in real time via cables and information transmission interfaces, and then processed, displayed, and uploaded by a computer. For example, utility model patent CN201696091U, published on January 5, 2011, discloses a mine pressure and displacement monitoring system. This system connects multiple intrinsically safe hydraulic support pressure monitoring instruments, multiple roof delamination monitoring instruments, multiple anchor bolt and cable force gauges, or multiple advanced support pressure gauges to the monitored roadway section underground. The above-ground part is connected to the underground part through an information transmission interface. After processing the data, it is output in various ways such as graphics, text, and reports to achieve real-time online monitoring and early warning of underground mine pressure and displacement. However, the inventors of this application have discovered through research that the existing method may suffer from signal shielding and interference from the surrounding environment during the transmission of data via cables underground. It is not well adapted to the complex environment of underground mines, resulting in untimely and inaccurate data transmission of monitoring data, which in turn affects the real-time performance of early warning. Summary of the Invention

[0004] To address the technical problem that existing mine pressure monitoring data may be subject to signal shielding and environmental interference during underground cable transmission, resulting in poor adaptability to the complex environment of underground mines and untimely and inaccurate data transmission, thus affecting the real-time performance of early warnings, this invention provides an embedded intelligent sensing device for mine pressure monitoring in the mining area.

[0005] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0006] An embedded intelligent sensing device for mine pressure includes a pressure sensor, a sensor edge terminal, an embedded computing unit, a data bus, and a communication engine. The pressure sensor is used to monitor the mine pressure electrical signal and is electrically connected to the sensor edge terminal. The sensor edge terminal is used to perform analog-to-digital conversion on the mine pressure electrical signal and is electrically connected to the embedded computing unit. The embedded computing unit is used to perform real-time analysis, monitoring, and early warning of the analog-to-digital converted mine pressure digital signal and is electrically connected to the communication engine via the data bus. The communication engine is used to provide real-time feedback of monitoring data and early warning information to relevant personnel.

[0007] Furthermore, the pressure sensor includes a lead zirconate titanate piezoelectric material, a piezoelectric material protective layer disposed around the piezoelectric material, smart particles composed of the piezoelectric material protective layer, and an outer layer structure surrounding the smart particles.

[0008] Furthermore, the embedded computing unit includes an embedded microprocessor development board, a computing module, and a power module. The power module provides DC power to the embedded microprocessor development board, which runs the operating system and performs signal processing for the pressure sensing device. The computing module, based on edge computing, deploys existing prediction and early warning algorithms to the edge data source of the mining sensor for real-time analysis and monitoring of data, and issues an early warning when the algorithm threshold is exceeded.

[0009] Furthermore, the power module is connected to the embedded microprocessor development board via a USB Type-C interface, and the embedded microprocessor development board is a Raspberry Pi 4b embedded microprocessor development board.

[0010] Furthermore, the data bus includes a USB bus, a Wi-Fi bus, and a Bluetooth bus.

[0011] Furthermore, the communication engine is electrically connected to the embedded computing unit via a Wi-Fi bus or a Bluetooth bus.

[0012] Furthermore, the embedded computing unit also includes a neural network processor, which is connected to the computing module via a USB bus.

[0013] Furthermore, the neural network processor employs the Intel Movidius Neural Compute Stick.

[0014] Compared with existing technologies, the embedded intelligent sensing device for mining pressure provided by this invention effectively solves the problems of signal shielding and environmental interference that exist in the transmission of monitoring data through cables underground by adopting embedded electronic technology. Embedded electronic technology is characterized by its small size and portability, which reduces the difficulty of on-site wiring and improves the adaptability of existing mining pressure monitoring systems to the complex environment of underground mines. At the same time, by adopting the concept of edge computing, existing prediction and early warning algorithms are deployed to the data source at the edge of the sensor, thereby reducing data latency and bandwidth usage, realizing real-time synchronization of monitoring data acquisition and prediction and early warning, and maximizing the real-time performance of early warning. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the embedded intelligent sensing device module for mining pressure provided by the present invention.

[0016] In the diagram, 1. Pressure sensor; 11. Piezoelectric material; 12. Piezoelectric material protective layer; 13. Smart particle; 14. Outer structure; 2. Sensor edge; 3. Embedded computing unit; 31. Embedded microprocessor development board; 32. Computing module; 33. Power module; 34. Neural network processor; 4. Data bus; 41. USB bus; 42. Wi-Fi bus; 43. Bluetooth bus; 5. Communication engine. Detailed Implementation

[0017] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below with reference to specific illustrations.

[0018] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0019] Please refer to Figure 1As shown, this invention provides an embedded intelligent sensing device for mine pressure, including a pressure sensor 1, a sensor edge terminal 2, an embedded computing unit 3, a data bus 4, and a communication engine 5. The pressure sensor 1 is used to monitor the mine pressure electrical signal and is electrically connected to the sensor edge terminal 2. The sensor edge terminal 2 is used to perform analog-to-digital conversion on the mine pressure electrical signal and is electrically connected to the embedded computing unit 3. The embedded computing unit 3 is used to perform real-time analysis and monitoring of the analog-to-digital converted mine pressure digital signal and provides early warnings, and is electrically connected to the communication engine 5 via the data bus 4. The communication engine 5 is used to provide real-time feedback of monitoring data and early warning information to relevant personnel.

[0020] For a specific embodiment, please refer to Figure 1 As shown, the pressure sensor 1 includes a lead zirconate titanate piezoelectric material 11, a piezoelectric material protective layer 12 disposed around the piezoelectric material 11, smart particles 13 composed of the piezoelectric material protective layer 12, and an outer structure 14 surrounding the smart particles 13. That is, the pressure sensor 1 is composed of a lead zirconate titanate piezoelectric material 11, a piezoelectric material protective layer 12, smart particles 13, and an outer structure 14 surrounding the smart particles. Thus, the pressure sensor 1 is a lead zirconate titanate piezoelectric sensor. The piezoelectric sensor generates an electrical signal under pressure, monitors the mine pressure in real time, and transmits the mine pressure electrical signal to the sensor edge end 2.

[0021] As a specific embodiment, the sensor edge end 2 is used to complete the analog-to-digital conversion of the signal. Specifically, the analog signal of physical property collected by the pressure sensor 1 can be converted into a digital signal and output to the embedded computing unit 3 through an analog-to-digital converter (ADC).

[0022] For a specific embodiment, please refer to Figure 1 As shown, the embedded computing unit 3 includes an embedded microprocessor development board 31, a computing module 32, and a power module 33. The power module 33 provides DC power to the embedded microprocessor development board 31. The embedded microprocessor development board 31 runs the operating system and performs signal processing for the pressure sensing device. The computing module 32, based on the concept of edge computing, deploys existing prediction and early warning algorithms to the edge data source of the mining field sensor for real-time analysis and monitoring of data, and issues an early warning when the algorithm threshold is exceeded.

[0023] In a specific embodiment, the power module 33 is connected to the embedded microprocessor development board 31 via a USB Type-C interface. The power module 33 provides 5V, 3A DC power to the embedded microprocessor development board 31. Specifically, a portable power bank can be used to power the board via the USB Type-C interface. The embedded microprocessor development board 31 can be an existing Raspberry Pi 4b embedded microprocessor development board. Using the Raspberry Pi 4b embedded microprocessor development board enables a small-sized, easily powered signal processing device. The operating system can be run on the embedded microprocessor development board to perform real-time calculations of prediction and early warning algorithms.

[0024] For a specific embodiment, please refer to Figure 1 As shown, the data bus 4 includes a USB bus 41, a Wi-Fi bus 42, and a Bluetooth bus 43. In a preferred embodiment, the communication engine 5 is electrically connected to the embedded computing unit 3 via the Wi-Fi bus 42 or the Bluetooth bus 43, thereby transmitting the data processed by the embedded computing unit 3 to the communication engine 5. The communication engine 5, based on Internet technology, can provide real-time feedback of monitoring data and early warning information to relevant personnel.

[0025] For a specific embodiment, please refer to Figure 1 As shown, the embedded computing unit 3 also includes a neural network processor 34, which is connected to the computing module 32 via a USB bus 41. Thus, the neural network processor 34 can improve the computational efficiency of the prediction and early warning algorithms in the computing module 32.

[0026] As a specific embodiment, the neural network processor 34 is implemented using the existing Intel Movidius neural computing stick.

[0027] Compared with existing technologies, the embedded intelligent sensing device for mining pressure provided by this invention effectively solves the problems of signal shielding and environmental interference that exist in the transmission of monitoring data through cables underground by adopting embedded electronic technology. Embedded electronic technology is characterized by its small size and portability, which reduces the difficulty of on-site wiring and improves the adaptability of existing mining pressure monitoring systems to the complex environment of underground mines. At the same time, by adopting the concept of edge computing, existing prediction and early warning algorithms are deployed to the data source at the edge of the sensor, thereby reducing data latency and bandwidth usage, realizing real-time synchronization of monitoring data acquisition and prediction and early warning, and maximizing the real-time performance of early warning.

[0028] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. An embedded intelligent sensing device for mining pressure in a mining area, characterized in that, The system includes a pressure sensor (1), a sensor edge terminal (2), an embedded computing unit (3), a data bus (4), and a communication engine (5). The pressure sensor (1) is used to monitor the mine pressure electrical signal and is electrically connected to the sensor edge terminal (2). The sensor edge terminal (2) is used to perform analog-to-digital conversion on the mine pressure electrical signal and is electrically connected to the embedded computing unit (3). The embedded computing unit (3) is used to perform real-time analysis and monitoring of the analog-to-digital converted mine pressure digital signal and is electrically connected to the communication engine (5) via the data bus (4). The communication engine (5) is used to provide real-time feedback of monitoring data and early warning information to relevant personnel. The pressure sensor (1) includes a lead zirconate titanate piezoelectric material (11), a piezoelectric material protective layer (12) disposed around the piezoelectric material (11), a smart particle (13) composed of the piezoelectric material protective layer (12), and an outer layer structure (14) surrounding the smart particle (13). The embedded computing unit (3) includes an embedded microprocessor development board (31), a computing module (32), and a power module (33). The power module (33) is used to provide DC power to the embedded microprocessor development board (31). The power module (33) is connected to the embedded microprocessor development board (31) via a USB Type-C interface. The embedded microprocessor development board (31) is a Raspberry Pi 4b embedded microprocessor development board. The embedded microprocessor development board (31) is used to run the operating system and complete the signal processing of the pressure sensing device. The computing module (32) is based on the edge computing concept, and deploys the existing prediction and early warning algorithms to the edge data source of the mining field sensor for real-time analysis and monitoring of data, and issues an early warning when the algorithm threshold is exceeded.

2. The embedded intelligent sensing device for mining pressure in a mining area according to claim 1, characterized in that, The data bus (4) includes a USB bus (41), a Wi-Fi bus (42), and a Bluetooth bus (43).

3. The embedded intelligent sensing device for mining pressure in a mining area according to claim 2, characterized in that, The communication engine (5) is electrically connected to the embedded computing unit (3) via a Wi-Fi bus (42) or a Bluetooth bus (43).

4. The embedded intelligent sensing device for mining pressure in a mining area according to claim 2, characterized in that, The embedded computing unit (3) further includes a neural network processor (34), which is connected to the computing module (32) via a USB bus (41).

5. The embedded intelligent sensing device for mining pressure in a mining area according to claim 4, characterized in that, The neural network processor (34) uses the Intel Movidius Neural Compute Stick.

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