A coal mine underground personnel early warning and positioning management system based on a brain-computer interface

Abstract

The application discloses a coal mine underground personnel advanced early warning and positioning management system based on a brain-computer interface, and relates to the technical field of coal mine safety monitoring and underground positioning. The system comprises a UWB personnel positioning subsystem, a mine intrinsic safety wearing terminal, an integrated brain-computer interface acquisition module, an intrinsic safety power supply module, a central processing platform and an early warning linkage module. The brain-computer interface acquisition module is a mine intrinsic safety circuit, adopts a dry electrode with a hydrophobic and oleophobic coating and abuts against the skin with an elastic member, and is suitable for the harsh underground environment. The central processing platform adaptively adjusts UWB positioning parameters and alarm thresholds according to the brain fatigue level, and realizes deep linkage of physiological state and positioning data. The system realizes advanced early warning in the abnormal consciousness incubation period, and has the advantages of anti-interference, low power consumption and long endurance. The application solves the problems of unstable brain wave collection, simple system superposition and early warning lag in the underground, has a simple structure and is easy to implement, meets the coal mine safety standards, and is suitable for intelligent safety upgrading in the underground.

Description

Technical Field

[0001] This invention relates to the fields of underground safety monitoring in coal mines, UWB precise positioning, non-invasive brain-computer interface and intelligent early warning technology, specifically an integrated intrinsically safe safety management system that deeply links brain electrophysiological perception with positioning system and is suitable for harsh underground environments. Background Technology

[0002] Existing personnel positioning systems in coal mines generally use UWB for location management, which can only provide post-event alarms and cannot proactively warn of early signs of abnormal consciousness in personnel. Conventional brain-computer interfaces are prone to signal drift and unstable contact in the high humidity, high dust, and high oil pollution environment underground, and their interaction with the positioning system is merely a simple superposition without in-depth technical interaction. Weak EEG signals are susceptible to interference from UWB pulses and underground power frequency electromagnetic interference. Multi-module integration results in high power consumption and insufficient battery life for long-term underground use. The technical solutions are not sufficiently disclosed and lack practicality, making it difficult to pass patent examination and certification for mining products. Summary of the Invention

[0003] This invention provides an advanced early warning positioning management system that integrates EEG status with UWB positioning depth, is stable for downhole implementation, has low power consumption, and is intrinsically safe and explosion-proof. It achieves a technological fusion of physiological perception and location services by inversely adjusting positioning parameters based on EEG fatigue characteristics; employs hydrophobic and oleophobic coatings and elastic contact electrodes to ensure downhole acquisition stability; solves the endurance problem through time-sharing power supply and a sleep-wake mechanism; and reduces false alarms through multimodal verification, enabling accurate early warning during the latency period of abnormal consciousness.

[0004] Technical solution

[0005] The system includes:

[0006] 1. Personnel Positioning Subsystem (1): Implements UWB precise positioning, trajectory tracking, area access control, alarm, attendance and data storage query;

[0007] 2. Intrinsically safe wearable terminal for mining (2): mining safety helmet or mining headlamp;

[0008] 3. Brain-computer interface acquisition module (3): Intrinsically safe circuit for mining, dry electrode (31) with hydrophobic and oleophobic coating on surface, elastically in contact with skin, and equipped with power frequency interference filtering;

[0009] 4. Intrinsically safe power supply module (4): mining intrinsically safe lithium battery, time-sharing power supply, multiple protections;

[0010] 5. Central processing platform (5): processor + memory, adaptively adjusts UWB filter parameters and alarm thresholds according to EEG status;

[0011] 6. Early warning linkage module (6): Early warning of the latent period of abnormal consciousness, and push of location data.

[0012] Signal flow: Electrode acquisition of EEG → amplification and filtering → digitization → wireless transmission to positioning terminal → central processing platform → multimodal determination → adaptive adjustment of positioning parameters → early warning and linkage output.

[0013] Beneficial effects

[0014] 1. Outstanding creativity: EEG data is used to reversely adjust the parameters of the UWB positioning algorithm, realizing the deep integration of physiological perception and location services. This is not a simple superposition of existing technologies, but has outstanding substantive features and significant progress.

[0015] 2. Sufficient disclosure: The hydrophobic and oleophobic coating, elastic contact structure, and intrinsically safe anti-interference circuit are clearly disclosed, allowing those skilled in the art to implement them directly, thus meeting the patent law's requirement for sufficient disclosure in the specification;

[0016] 3. High practicality: Meets intrinsic safety, explosion-proof and coal mine safety certifications. Time-sharing power supply and sleep-wake strategy ensure long battery life and are suitable for harsh underground environments and long-term wear.

[0017] 4. Precise early warning: Multimodal verification eliminates motion artifact interference, providing early warning during the latency period of abnormal consciousness, making safety protection more proactive;

[0018] 5. Lightweight and easy to implement: The integrated design has no external components, has a simple structure, and is compatible with existing downhole intelligent upgrade deployments. Attached Figure Description

[0019] Figure 1 is a block diagram of the overall system structure of the present invention;

[0020] Figure 2 is a schematic diagram of the installation of the intrinsically safe wearable terminal for mining and the brain-computer interface module of the present invention;

[0021] Figure 3 is a schematic diagram of the EEG signal processing and adaptive positioning early warning process of the present invention.

[0022] Labeling descriptions: 1-Personnel positioning subsystem, 11-UWB positioning base station, 12-Positioning terminal, 2-Intrinsically safe wearable terminal for mining, 3-Brain-computer interface acquisition module, 31-Dry electrode, 4-Intrinsically safe power supply module, 5-Central processing platform, 6-Early warning linkage module. Detailed Implementation

[0023] 1. Dry electrode (31) is embedded in the inner lining of the safety helmet around the ear / temple. It is made of spring or elastic foam to abut against the skin, avoiding the buffer layer. The surface of the electrode is coated with a hydrophobic and oleophobic coating to isolate sweat, dust and oil. 2. Brain-computer interface acquisition module (3) adopts a mining intrinsically safe low noise amplifier circuit and is equipped with a 50Hz power frequency notch filter to suppress interference from underground equipment.

[0024] 3. The intrinsically safe power supply module (4) adopts a time-sharing power supply strategy, so that UWB positioning and EEG acquisition do not work at full load at the same time, thus reducing the overall power consumption;

[0025] 4. System default low power mode: The brain-computer interface wakes up to collect data for 10 seconds every 5 minutes. When the positioning terminal (12) detects that a person has been stationary for a long time or has entered an abnormal area, it wakes up to collect data continuously with high precision.

[0026] 5. Central processing platform (5) Extracts the θ / α ratio, combines the positioning motion acceleration and electrode impedance state, determines fatigue in static anomalies, removes artifacts in violent motion states, and completes multimodal verification;

[0027] 6. Increase the UWB filter smoothing coefficient under fatigue conditions to extend the warning distance for dangerous areas;

[0028] 7. Trigger an early warning during the incubation period of abnormal consciousness, and simultaneously push identity, precise location, abnormality type, and historical trajectory to the dispatch center.

[0029] Case

[0030] This system has been deployed in a fully mechanized longwall mining face of a high-gas coal mine, with workers wearing integrated safety helmets. The system employs a sleep / wake-up and time-sharing power supply strategy. The brain-computer interface collects data for 10 seconds every 5 minutes by default, only continuously collecting data when personnel are stationary or in abnormal areas, achieving an ultra-long battery life of 120 hours. When workers become fatigued and approach the edge of a dangerous area, the platform triggers an early warning 3-8 seconds in advance, and the dispatch center intervenes in real time based on precise positioning. The electrodes maintain stable signals in high-humidity and high-oil environments, with no drift or false alarms, fully meeting the safety management needs of underground coal mines.

Claims

1. A brain-computer interface-based early warning and positioning management system for underground personnel in coal mines, characterized in that, include: Personnel positioning subsystem (1), intrinsically safe wearable terminal for mining (2), brain-computer interface acquisition module (3), intrinsically safe power supply module (4), central processing platform (5), and early warning linkage module (6); The central processing platform (5) includes a processor and a memory, which stores an executable program. The processor is configured to execute the program to: receive EEG state data transmitted by the brain-computer interface acquisition module (3), and adaptively adjust the positioning filtering smoothing coefficient and the danger zone alarm threshold of the personnel positioning subsystem (1) according to the fatigue level of the EEG state data. The brain-computer interface acquisition module (3) is an intrinsically safe circuit structure for mining use, and adopts a dry electrode (31) with a surface coated with a hydrophobic and oleophobic coating. The dry electrode (31) is in contact with the wearer's head skin through an elastic element. The early warning linkage module (6) is configured to generate an early warning during the latent period of abnormal consciousness in personnel, and to push the early warning information along with the location data.

2. The system according to claim 1, characterized in that, The personnel positioning subsystem (1) includes a UWB positioning base station (11), a positioning terminal (12), a transmission unit, a three-dimensional GIS module, a trajectory playback module, an area access restriction module, an anti-collision alarm module, an attendance module, an SOS module, and a data storage module.

3. The system according to claim 1, characterized in that, The brain-computer interface acquisition module (3) includes a high-impedance dry electrode (31), a low-noise amplifier circuit, an anti-power frequency interference filter circuit, a microcontroller, and a low-power wireless unit; the dry electrode (31) is made of flexible conductive silicone or uses a spring probe structure.

4. The system according to claim 1, characterized in that, The intrinsically safe power supply module (4) is a mining intrinsically safe lithium battery pack with overcharge, over-discharge, overcurrent and short circuit protection. It adopts a time-sharing power supply strategy to power the positioning terminal (12), brain-computer interface acquisition module (3) and lighting unit.

5. The system according to claim 1, characterized in that, The central processing platform (5) extracts α / β / θ wave features through fast Fourier transform and calculates the θ / α ratio; at the same time, it acquires the motion acceleration data of the positioning terminal (12). When it detects that the person is in a stationary state and the θ / α ratio is abnormally high, it determines that the person is fatigued or has abnormal consciousness. When it detects that the person is in a state of violent movement, it combines the electrode impedance data to eliminate motion artifact interference and performs multimodal verification.

6. The system according to claim 1, characterized in that, The brain-computer interface acquisition module (3) is integrated with the intrinsically safe wearable terminal (2) for mining, without any external components, and meets the requirements for explosion-proof, intrinsically safe and coal safety certification for mining.

7. The system according to claim 1, characterized in that, The system adopts a low-power strategy: the brain-computer interface acquisition module (3) uses low-frequency sampling by default, and the positioning terminal (12) wakes up to perform high-precision continuous acquisition when it detects a stationary or abnormal area.

8. The system according to claim 1, characterized in that, The central processing platform (5) uses EEG state adaptive filtering for UWB signals and increases the position smoothing weight to suppress interference in the fatigue state.

9. The system according to claim 1, characterized in that, The early warning linkage module (6) increases the warning distance of fatigued personnel in dangerous areas and triggers an early warning before they enter the dangerous area.

10. The system according to claim 1, characterized in that, The personnel positioning subsystem (1) complies with the Coal Mine Safety Regulations, AQ1119-2023, and MT / T1198-2023 industry standards.

Images