An embedded periscope-style mining safety helmet and health monitoring system

Abstract

This invention provides an embedded periscope-type mining safety helmet and health monitoring system, comprising: a helmet shell body with a reinforcing rib groove inside the brim; an eye-tracking module, at least partly located within the reinforcing rib groove, for collecting eye movement characteristic parameters of the helmet wearer; an environmental monitoring module located on the side of the helmet shell body for monitoring environmental parameters; a physiological monitoring module located in the lining of the helmet shell body for collecting the wearer's physiological parameters; a counterweight module located at the rear of the helmet shell body for balancing the center of gravity of the mining safety helmet; an alarm module located on the side facing the counterweight module for generating alarm information; a bone conduction vibration module located in the lining corresponding to the wearer's temporal bone for converting electrical signals into mechanical vibrations and transmitting them to the wearer's skull; and a controller located at the rear of the helmet shell body for monitoring the wearer's health status, activating the alarm module and bone conduction vibration module to provide a warning when an abnormal state is detected.

Description

Technical Field

[0001] This invention relates to the field of personal protective equipment technology for mines, and in particular to a mining safety helmet with an embedded periscope and a health monitoring system. Background Technology

[0002] With the deepening of smart mine construction, the function of mining safety helmets is evolving from a single physical protection tool to an intelligent terminal integrating data collection, environmental perception, and personnel positioning. Currently, most smart safety helmets on the market adopt an external modification solution, that is, adding cameras and various sensors to the underside or front of the traditional helmet. However, the underground working environment is extremely complex, with narrow tunnels and numerous support anchors and rock wall protrusions, making safety helmets high-frequency impact equipment. The existing external design results in the optical modules being directly exposed to the outside, making them extremely susceptible to damage from impacts during workers' daily movements such as looking up and looking forward, leading to a high equipment repair rate and significantly increased maintenance costs.

[0003] Furthermore, existing smart safety helmets, being integrated devices, often concentrate heavy-duty components such as cameras, main control boards, and lights at the front of the helmet, causing a significant forward shift in the center of gravity. Miners wearing these helmets for extended periods must continuously contract their neck muscles to counteract the forward tilting torque, which can easily lead to cervical strain and muscle problems over time. Functionally, existing equipment largely relies on single indicators (such as PERCLOS) for fatigue monitoring, failing to distinguish between physiological fatigue caused by insufficient rest and neural inhibition caused by environmental factors such as low-concentration carbon monoxide poisoning. Summary of the Invention

[0004] This invention provides an embedded periscope-style mining safety helmet and health monitoring system to solve the technical problems of imbalance of the center of gravity and high maintenance cost of existing safety helmets.

[0005] On one hand, the present invention provides an embedded periscope-style mining safety helmet, comprising: The main body of the cap has a reinforcing rib groove inside the brim; An eye-tracking module, at least a portion of which is located within the reinforcing rib groove, is used to collect eye movement characteristic parameters of the helmet wearer; An environmental monitoring module, located on the side of the main body of the cap, is used to monitor environmental parameters; A physiological monitoring module, located in the inner lining of the main body of the cap, is used to collect the wearer's physiological parameters; A counterweight module is located at the rear of the helmet body to balance the center of gravity of the mining safety helmet; An alarm module, located on the rear side of the counterweight module, is used to generate alarm information; A bone conduction vibration module, located in the liner corresponding to the wearer's temporal bone, is used to convert electrical signals into mechanical vibrations and transmit them to the wearer's skull; The controller, located on the back of the cap body, is used to monitor the wearer's health status based on the eye movement feature parameters, the environmental parameters, and the physiological parameters. When the health status is abnormal, the controller controls the alarm module to generate an alarm message and the bone conduction vibration module to generate device vibration.

[0006] Optionally, the eye-tracking module includes: A supplementary light, located within the groove of the reinforcing rib, is used to provide illumination to the wearer's eyes; A viewing window, located on the downward-facing side of the brim, is used to allow reflected light from the wearer's eyes to pass through; A light path deflector is disposed in the groove of the reinforcing rib and is used to deflect the light passing through the viewing window; An image sensor, horizontally positioned within the reinforcing rib groove, is used to receive light rays after they have been redirected by the light path deflection element and to generate an eye image; The image sensor, the optical path steering element, and the viewing window together form a periscope-style folded optical path, which allows the image sensor to avoid impact from the brim and provides protection for the image sensor by utilizing the structural strength of the reinforcing rib groove.

[0007] Optionally, the environmental monitoring module includes: A flow channel is located on the side of the cap body, with one end of the flow channel facing the front of the cap body and bending downwards, and the other end facing the rear of the cap body and bending upwards. A gas sensor array, located within the flow channel, is used to detect the composition of the gas passing through the flow channel; A dustproof and breathable membrane is placed over the air inlet of the flow channel to block dust and allow gas to pass through.

[0008] Optionally, the physiological monitoring module includes: The forehead attachment, located within the liner at a position corresponding to the wearer's forehead, is used to collect physiological signals from the wearer's forehead region. A reflective optical sensor, located in the liner corresponding to the wearer's superficial temporal artery, is used to detect blood flow parameters.

[0009] Optionally, the controller integrates a positioner and an inertial sensor; The locator is used to collect the wearer's location; The inertial sensor is used to collect the wearer's inertial parameters.

[0010] On the other hand, the present invention also provides a health monitoring system for an embedded periscope-type mining safety helmet, wherein the health monitoring system is applied to the controller of the embedded periscope-type mining safety helmet described in any one of the above-mentioned methods, the environmental parameters include gas concentration data, the physiological parameters include blood oxygen saturation data, and the health monitoring system includes: The health status assessment module is used for: Determine the range of the gas concentration data, the changes in the blood oxygen saturation data, and the changes in the eye movement characteristic parameters; When the gas concentration data is within a preset normal range, and both the eye movement feature parameters and the blood oxygen saturation data decrease, and the rate of decrease is lower than the first change threshold, it is determined to be a state of occupational physiological fatigue. When the gas concentration data falls within a preset abnormal range, and both the eye movement feature parameters and the blood oxygen saturation data decrease, and the rate of decrease is greater than the second change threshold, it is determined to be a state of overt hypoxia or poisoning; wherein, the second change threshold is greater than the first change threshold. When the gas concentration data indicates the presence of carbon monoxide, the eye movement characteristic parameters show characteristics of ocular nerve motor function inhibition, and the blood oxygen saturation data is within the preset normal blood oxygen range, it is determined to be a state of concealed carbon monoxide poisoning.

[0011] Optionally, the health monitoring system further includes: The fall status detection module is used for: Acquire head motion data collected by inertial sensors; When the head movement data matches the preset fall movement characteristics, it is marked as a suspected fall event, and the eye-tracking module is controlled to collect images of the wearer's eyes; Based on the eye image, the wearer's state of consciousness is determined, and based on the state of consciousness, the corresponding response operation is determined.

[0012] Optionally, marking a suspected fall event when the head movement data matches preset fall movement characteristics includes: Determine the triaxial acceleration in the head motion data, and calculate the resultant acceleration based on the triaxial acceleration; When the combined acceleration drops to the first target acceleration threshold within the first time period, it is determined that the wearer is in the process of falling. When the combined acceleration increases to the second target acceleration threshold, it is determined that the wearer is in an impact state after a fall; wherein the second target acceleration threshold is greater than the first target acceleration threshold; When the combined acceleration indicates that the wearer is stationary, it is marked as a suspected fall event.

[0013] Optionally, determining the wearer's state of consciousness type based on the eye image, and determining the corresponding response operation based on the state of consciousness type, includes: Identify the eye state in the eye image; If the eye status indicates that both eyes are closed, or the pupils do not contract in response to supplemental light, or the eyeballs are fixed, and the consciousness status is determined to be loss of consciousness, then an accident alarm containing the wearer's location information is generated and sent to the monitoring center. If the eye condition indicates saccadic eye movements or blinking reflexes, and the consciousness state is determined to be conscious, a reminder message is sent to the wearer.

[0014] Optionally, the health monitoring system further includes: Noise cancellation module, used for: Acquire ambient noise signals from the wearer's ear; Determine the noise spectrum of the environmental noise signal; An antiphase acoustic signal with the opposite phase to the noise spectrum is generated to cancel the noise.

[0015] Optional, the health monitoring system also includes: Tiered power consumption module, used for: In the first power consumption level mode, only the inertial sensor, environmental monitoring module and physiological monitoring module are activated. When the head motion data matches the preset fall motion characteristics, the second power consumption level mode is activated. In the second power level mode, the eye-tracking module is activated. When the consciousness state type is determined to be loss of consciousness, the third power level mode is activated. In the third power consumption level mode, the locator is activated and sends an accident alarm containing the wearer's location information to the monitoring center.

[0016] This invention provides an embedded periscope-style mining safety helmet and health monitoring system. By embedding the eye-tracking module in the reinforcing rib groove of the brim, the brim structure provides physical protection for the eye-tracking module, preventing damage from impacts and reducing maintenance costs. By setting a counterweight module at the rear of the helmet, its weight can be used to balance the helmet's center of gravity, ensuring that the center of gravity is directly above or near the cervical spine, improving the wearer's comfort. Furthermore, the controller can monitor the wearer's health status based on eye movement characteristic parameters, environmental parameters, and physiological parameters, thereby providing more intelligent health and safety monitoring for the wearer. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the embedded periscope-type mining safety helmet provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the health monitoring system for an embedded periscope-type mining safety helmet provided in an embodiment of the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0020] Figure 1 This is a schematic diagram of the embedded periscope-type mining safety helmet provided in an embodiment of the present invention.

[0021] See Figure 1 The embedded periscope-style mining safety helmet 100 includes a helmet shell body 101, an eye-tracking module, an environmental monitoring module, a physiological monitoring module, a counterweight module 501, an alarm module 504, a bone conduction vibration module 403, and a controller 502.

[0022] The brim of the cap body 101 is provided with a reinforcing rib groove 102; Specifically, the helmet body 101 refers to the main outer shell of the safety helmet, which is typically made of high-strength ABS / PC composite material. The brim refers to the covering portion extending outward from the front of the helmet body 101. The reinforcing rib groove 102 is a structural groove located inside the brim, enhancing its impact resistance.

[0023] At least a portion of the eye-tracking module is located within the reinforcing rib groove 102, and is used to collect eye movement feature parameters of the helmet wearer; Specifically, the reinforcing groove 102 can protect the eye-tracking module. Eye-tracking characteristic parameters may include at least one of pupil dilation delay, nystagmus frequency, eyeglass closure or opening status, and oculomotor reflex data, used to determine the wearer's fatigue, poisoning, or state of consciousness.

[0024] The environmental monitoring module is located on the side of the cap body 101 and is used to monitor environmental parameters; Specifically, environmental parameters can generally include CO, CH4, O2, etc. The front and rear sides of the cap body 101 are as follows: Figure 1 As indicated by the arrows in the diagram. Once the front and rear sides of the cap body 101 are determined, the sides of the cap body 101 are also determined.

[0025] The physiological monitoring module is located in the lining of the main body 101 of the cap and is used to collect the wearer's physiological parameters; Specifically, the liner refers to the padding system inside the helmet that comes into direct contact with the wearer's head. Physiological parameters may include skin conductance, body temperature, heart rate, and blood oxygen saturation (SpO2).

[0026] The counterweight module 501 is located at the rear of the helmet body 101 and is used to balance the center of gravity of the mining safety helmet. Specifically, the counterweight module 501 can be an arc-shaped counterweight battery pack (explosion-proof soft-pack lithium battery, used as a physical counterweight to balance the front weight). The arc size of the counterweight battery pack is adapted to the arc size of the corresponding helmet body 101 at the back, thus adapting to the contour of the back of the head and using its own weight to balance the center of gravity of the mining safety helmet. By adding weight at the rear, the counterweight module 501 can adjust the position of the helmet's center of gravity, making it closer to or even directly above the cervical spine, reducing the burden on the wearer's neck muscles to maintain head balance due to the forward shift of the center of gravity, and improving wearing comfort. A warning light is also provided at the rear of the arc-shaped counterweight battery pack. When the health status is abnormal, the warning light is activated in a controlled manner.

[0027] The bone conduction vibration module 403 is located in the liner at a position corresponding to the wearer's temporal bone, and is used to convert electrical signals into mechanical vibrations and transmit them to the wearer's skull.

[0028] Specifically, the bone conduction vibration module 403 refers to a device that converts electrical signals into mechanical vibrations and transmits sound or tactile signals through a solid medium. When worn, it is located on both sides of the temporal bone and is used for alarms and communication with other people in noisy environments. It does not rely on air transmission for sound transmission, does not block the ear canal, and does not affect the ability to hear important environmental sounds. It is particularly effective in high-noise environments underground.

[0029] The alarm module 504 is located on the rear side of the counterweight module 501 and is used to generate alarm information; the alarm module 504 can be a buzzer or an indicator light.

[0030] The controller 502 is located on the back of the cap body 101 and is used to monitor the wearer's health status based on eye movement characteristic parameters, environmental parameters and physiological parameters. When the health status is abnormal, the controller alarm module 504 generates alarm information and the bone conduction vibration module generates device vibration.

[0031] Specifically, the controller 502 can be understood as the main control circuit board, which integrates a low-power AI chip, a UWB locator, and an IMU inertial sensor. The locator is used to collect the wearer's position. The inertial sensor is used to collect the wearer's inertial parameters, such as head acceleration and angular velocity. Abnormal states can refer to at least one of the following: wearer falling, occupational physiological fatigue, overt hypoxia or poisoning, or covert carbon monoxide poisoning.

[0032] In this embodiment, by embedding the eye-tracking module in the reinforcing rib groove 102 of the brim, the brim structure provides physical protection for the eye-tracking module, preventing damage from impacts and reducing maintenance costs. By setting a counterweight module 501 at the rear of the helmet, its weight can be used to balance the center of gravity of the helmet, so that the center of gravity falls directly above or near the cervical spine, improving the wearer's comfort. Furthermore, the controller 502 can monitor the wearer's health status based on eye movement characteristic parameters, environmental parameters, and physiological parameters, thereby providing more intelligent monitoring of the wearer's health and safety.

[0033] In one embodiment of this specification, the eye-tracking module includes a fill light 204, a perspective window 201, a light path steering element 202, and an image sensor 203.

[0034] A supplementary light 204 is disposed in the reinforcing rib groove 102 to provide illumination to the wearer's eyes; Specifically, the supplementary light 204 can be a concealed near-infrared supplementary light 204. The supplementary light 204 is set in the reinforcing rib groove 102 of the brim. When providing eye illumination to the wearer's eyes in low light environment, it usually uses near-infrared light, which can not only provide clear imaging under low light conditions, but is also invisible to the human eye, reducing interference to the wearer's eyes.

[0035] The viewing window 201 is located on the side of the hat brim facing downwards, and is used to allow reflected light from the wearer's eyes to pass through; Specifically, the viewing window 201 refers to an optical window that allows light of a specific wavelength to pass through. It can be an explosion-proof high-transparency viewing window 201 (made of sapphire glass). The viewing window 201 is located on the side of the hat brim facing downwards, that is, the side facing the wearer's face. The viewing window 201 material has high hardness and high light transmittance, allowing light reflected from the wearer's eyes to pass through, and can also act as a protective barrier to withstand possible impacts.

[0036] The light path deflector 202 is disposed in the reinforcing rib groove 102 and is used to deflect the light passing through the viewing window 201; Specifically, the light path steering element 202 refers to an optical element capable of changing the direction of light propagation, such as a total internal reflection prism or a mirror, which refracts the vertically incident eye image light to the image sensor 203. The function of the light path steering element 202 is to receive the eye reflected light incident vertically (or approximately vertically) from the viewing window 201 and deflect it at a certain angle (e.g., 90 degrees) to guide it to the horizontally arranged image sensor 203. Through the steering operation, a periscope-style light path design is realized, allowing the image sensor 203 to be horizontally installed deep within the cap brim layer, avoiding the risk of vertical exposure to external impacts. Generally, the incident surface of the light path steering element 202 faces the viewing window 201, and the exit surface faces the image sensor 203. Furthermore, its optical axis is not collinear with the emission direction of the supplementary light 204 to suppress stray light interference and improve the signal-to-noise ratio of the eye image.

[0037] The image sensor 203 is horizontally positioned within the reinforcing rib groove 102 to receive the light after it has been turned by the light path steering element 202 and to generate an eye image. Specifically, the image sensor 203 refers to a semiconductor device that converts received light signals into electrical signals (image data), such as an infrared CMOS image sensor 203, which is horizontally arranged in the reinforcing rib groove 102.

[0038] In this embodiment, the supplementary light 204, the light path steering element 202, and the image sensor 203 are disposed within the reinforcing rib groove 102, which can reduce damage caused by impact. Although the image sensor 203 cannot be directly aimed at the eye, the reflected light from the eye can reach the image sensor 203 after passing through the viewing window 201 and the light path steering element 202, forming an embedded periscope-style eye-tracking module (such as the periscope sensing area under the brim). Figure 1 The area indicated by the letter B in the image (the region in the image) can collect reflected light from the wearer's eyes and generate an eye image without exposing optical components, thus achieving concealed and interference-resistant monitoring of eye movement parameters. The image sensor 203, the optical path steering element 202, and the viewing window 201 together constitute a periscope-style folded optical path, allowing the image sensor 203 to avoid impact from the brim, and the structural strength of the reinforcing rib groove 102 provides protection for the image sensor 203.

[0039] In one embodiment of this specification, the environmental monitoring module includes a flow channel 103, a gas sensor array 301, and a dustproof and breathable membrane 302.

[0040] The flow channel 103 is located on the side of the cap body 101, with one end of the flow channel 103 facing the front of the cap body 101 and bending downward, and the other end facing the rear of the cap body 101 and bending upward. The gas sensor array 301 is located inside the flow channel 103 and is used to detect the gas composition passing through the flow channel 103; A dustproof and breathable membrane 302 covers the air inlet of the flow channel 103 to block dust and allow gas to pass through.

[0041] In this embodiment, the airflow channel 103 can be located on the inner side of the cap body 101, or it can be located on the outer side of the cap body 101. One end of the airflow channel 103 faces the front of the cap body 101 and bends downward, while the other end faces the rear of the cap body 101 and bends upward. The purpose is to utilize the natural airflow and air pressure difference during the wearer's walking to guide airflow through the airflow channel 103. Furthermore, the downward-bending inlet reduces the ingress of large dust particles, while the upward-bending outlet promotes gas exchange. The gas sensor array 301 refers to a sensing component composed of multiple miniature gas sensor chips integrated together, such as a MEMS miniature gas sensor array 301, which is manufactured using MEMS technology and features small size and low power consumption. The gas sensor array 301 performs composition analysis on the gas passing through the airflow channel 103, and detects the concentration of specific gases (such as carbon monoxide CO, methane CH4, and oxygen O2) in the air sample flowing through the channel in real time. The dustproof and breathable membrane 302 refers to a thin film material with selective permeability, which covers the air inlet of the flow channel 103. Its material properties allow gas molecules (such as O2 and CO) to pass through, but can block dust particles and water vapor.

[0042] In this embodiment, by providing a curved airflow channel 103 on the side of the helmet body 101, it is beneficial to introduce air using the natural airflow during the wearer's walking; by covering the air inlet of the airflow channel 103 with a dustproof and breathable membrane 302, dust is blocked. The airflow channel 103 and the dustproof membrane together provide dust protection, preventing the gas sensor array 301 from being covered by dust and avoiding the risk of direct exposure to the outside and collision.

[0043] In one embodiment of this specification, the physiological monitoring module includes a forehead attachment portion 401 and a reflective optical sensor 402.

[0044] The forehead attachment 401 is located in the liner at a position corresponding to the wearer's forehead and is used to collect physiological signals from the wearer's forehead area. Specifically, the forehead attachment 401 can exist in the form of a sweatband. The forehead attachment 401 can integrate a flexible circuit and a sensor. The flexible circuit is used to connect the sensor, and the sensor is used to collect physiological signals of the wearer's forehead area, such as skin conductance activity and body temperature.

[0045] A reflective optical sensor 402 is located in the liner at a position corresponding to the wearer's superficial temporal artery, and is used to detect blood flow parameters; Specifically, the reflective optical sensor 402 can be a sensor used for photoplethysmography (PPG). The reflective optical sensor 402 is located in the liner corresponding to the superficial temporal artery, and can more accurately detect blood flow parameters such as heart rate and blood oxygen saturation (SpO2).

[0046] In this embodiment, the forehead attachment 401 is located in the liner corresponding to the wearer's forehead and is used to collect physiological signals from the wearer's forehead area; the reflective optical sensor 402 is located in the liner corresponding to the wearer's superficial temporal artery and is used to detect blood flow parameters; thus, accurate collection of multi-dimensional physiological signals is achieved, which improves the reliability of physiological monitoring while ensuring wearing comfort, and is suitable for complex working environments in mines.

[0047] In some other embodiments of this specification, the embedded periscope-style mining helmet also includes a back-head adjustment knob 503.

[0048] The head adjustment knob 503 is located at the rear of the cap body 101, and can generally be located on the outer surface of the rear.

[0049] In this embodiment, the back-head adjustment knob 503 is usually linked to the headband or strap system in the liner. By rotating it, the support structure (such as the counterweight module 501 and the controller 502) surrounding the back of the wearer's head can be tightened or loosened, thereby achieving a precise fit to the head circumference. This ensures comfort during long-term wear while preventing the helmet from shifting or falling off due to shaking, bumping, or collision during underground operations.

[0050] Based on the same general inventive concept, this invention also protects a health monitoring system for an embedded periscope-type mining safety helmet. Figure 2 This is a schematic diagram of the health monitoring system for an embedded periscope-type mining safety helmet provided in an embodiment of the present invention. The health monitoring system 600 is applied to the controller 502 in any of the above-mentioned embedded periscope-type mining safety helmets. Environmental parameters include gas concentration data, physiological parameters include blood oxygen saturation data, and the health monitoring system 600 includes a health status judgment module 601.

[0051] The health status judgment module 601 is used for: Determine the range of gas concentration data, blood oxygen saturation data, and changes in eye movement characteristic parameters; When the gas concentration data is within the preset normal range, and both the eye movement characteristic parameters and blood oxygen saturation data decrease, and the rate of decrease is lower than the first change threshold, it is determined to be a state of occupational physiological fatigue. When the gas concentration data falls within a preset abnormal range, and both the eye movement characteristic parameters and blood oxygen saturation data decrease, and the rate of decrease is greater than the second change threshold, it is determined to be a state of overt hypoxia or poisoning; wherein, the second change threshold is greater than the first change threshold. When the gas concentration data indicates the presence of carbon monoxide, the eye movement characteristic parameters show characteristics of ocular nerve motor function inhibition, and the blood oxygen saturation data is within the preset normal blood oxygen range, it is determined to be a state of hidden carbon monoxide poisoning.

[0052] In this embodiment, gas concentration data can refer to the concentration values ​​of carbon monoxide (CO), methane (CH4), and oxygen (O2), with a focus primarily on carbon monoxide concentration. Eye movement characteristic parameters may include pupillary dilation delay, nystagmus frequency, etc., used to characterize the responsiveness of the nervous system. Physiological parameters refer to blood oxygen saturation data. When the gas concentration data falls within a preset normal range, the environmental gas is considered normal, and the normal physiological state assessment process begins. Both the preset normal range and the preset abnormal range can be set based on experience. A decrease rate below the first change threshold indicates that both decrease rates are relatively gentle, representing a slow decline. A decrease rate exceeding the second change threshold indicates that the physiological state is rapidly deteriorating. Eye movement characteristic parameters exhibit ocular neuromotor function inhibition characteristics, meaning that in the presence of CO, eye movement characteristic parameters show clear signs of nervous system damage, such as pupillary dullness, sluggish or absent pupillary light reflex, reduced or fixed eye movements, etc.

[0053] In this embodiment, by comprehensively analyzing and logically judging gas concentration data, eye movement characteristic parameters, and blood oxygen saturation data, the limitations of traditional single-indicator monitoring are overcome. Through multi-dimensional data cross-validation, accurate identification of the wearer's health status is achieved, solving the problem of early warning of concealed gas poisoning in underground environments. "Explicit" can be understood as relatively low monitoring difficulty. "Concealed" can be understood as relatively high monitoring difficulty.

[0054] In one embodiment of this specification, the health monitoring system 600 further includes a fall status judgment module 602; The fall status detection module 602 is used for: Acquire head motion data collected by inertial sensors; When head movement data matches the preset fall movement characteristics, it is marked as a suspected fall event, and the eye-tracking module is controlled to collect images of the wearer's eyes; Based on eye images, the wearer's state of consciousness is determined, and based on the state of consciousness, the corresponding response action is determined.

[0055] In this embodiment, head movement data is acquired, and when the head movement data matches the preset fall movement characteristics, it is marked as a suspected fall event. The eye-tracking module is then controlled to collect the wearer's eye images, thereby determining the wearer's state of consciousness based on the eye images. Based on the state of consciousness, the corresponding response operation is determined, which can accurately distinguish the state of consciousness of a fall event, thereby improving the accuracy of fall detection and the pertinence of emergency response.

[0056] In one embodiment of this specification, when head movement data matches preset fall movement characteristics, it is marked as a suspected fall event, including: Step 1: Determine the three-axis accelerations in the head motion data, and calculate the resultant acceleration based on the three-axis accelerations; In this step, triaxial acceleration can refer to the acceleration components along the X, Y, and Z axes, and triaxial acceleration can be expressed as ( A x ，A y ，A z ); A x The acceleration component along the X-axis; A y The acceleration component along the Y-axis; A z The acceleration component along the Z-axis; the resultant acceleration can be expressed as ;in, This is the resultant acceleration.

[0057] Step 2: When the combined acceleration drops to the first target acceleration threshold within the first time period, it is determined that the wearer is in the process of falling. In this step, the first target acceleration threshold can be a value close to 0, representing a free fall or crash. The first time period is also a relatively short duration, which can be set based on historical fall experience, for example, a value between 0 and 1 second.

[0058] Step 3: When the combined acceleration increases to the second target acceleration threshold during the second time period, it is determined that the wearer is in the impact state after the fall; wherein, the second target acceleration threshold is greater than the first target acceleration threshold; In this step, the second time period is also a relatively short duration, which can be set based on historical fall experience. The combined acceleration increases to the second target acceleration threshold within the second time period, which can be understood as the combined acceleration experiencing a momentary peak, indicating that the wearer has impacted the ground.

[0059] Step 4: If the combined acceleration indicates that the wearer is stationary, then it is marked as a suspected fall event; In this step, the static state can include a state of complete stillness and slight bodily movement, or it can be understood as a state where one is unable to stand up.

[0060] In this embodiment, when the resultant acceleration decreases to the first target acceleration threshold within the first time period, it is determined that the wearer is in the process of falling. After determining that the wearer is in the process of falling, if the resultant acceleration increases to the second target acceleration threshold within the second time period, it is determined that the wearer is in the state of impact. After determining that the wearer is in the state of impact, if the resultant acceleration indicates that the wearer is in a stationary state, it is marked as a suspected fall event. This eliminates the interference of instantaneous impact caused by violent movement during normal work, and strictly corresponds the triggering conditions of the fall event marking to the complete mechanical process of the human body in weightlessness, impact, and inability to get up on its own, thereby improving the accuracy and reliability of fall detection.

[0061] In one embodiment of this specification, based on an eye image, the wearer's state of consciousness is determined, and based on the state of consciousness, a corresponding response operation is determined, including: Identify the state of the eyes in an eye image; If the eye status indicates that both eyes are closed, or the pupils do not contract in response to supplemental light, or the eyeballs are fixed, the consciousness status is determined to be loss of consciousness, and an accident alarm containing the wearer's location information is generated and sent to the monitoring center. If the eye condition indicates saccadic eye movements or blinking reflexes, and the consciousness state is determined to be conscious, a reminder message will be sent to the wearer.

[0062] In this embodiment, a reminder message is sent to the wearer via the bone conduction vibration module 403, transmitting the message to the wearer's skull. The outer surface of the cap body 101 has an alarm light. The alarm light can be controlled to flash when sending an accident alarm to the monitoring center or when sending a reminder message to the wearer, thus attracting the attention of those nearby. This embodiment can accurately distinguish between severe falls with loss of consciousness and minor falls with conscious individuals, thereby ensuring accurate reporting of emergencies while reducing resource waste caused by false alarms.

[0063] In one embodiment of this specification, the health monitoring system 600 further includes a noise cancellation module 603; The noise cancellation module 603 is used for: Acquire ambient noise signals from the wearer's ear; Determine the noise spectrum of the environmental noise signal; Generate an out-of-phase acoustic signal that is opposite in phase to the noise spectrum to cancel out the noise.

[0064] In this embodiment, the noise cancellation module 603 can be disposed in the liner at a position corresponding to the wearer's ear. The ambient noise signal is mainly low-frequency continuous noise generated by the equipment. The ambient noise signal at the wearer's ear can be acquired through a microphone. By setting the noise cancellation module 603 to collect the ambient noise signal at the wearer's ear in real time, analyzing its noise spectrum, and generating an anti-phase sound wave signal with opposite phase for active noise reduction, the low-frequency harmful noise interference in the mine can be effectively canceled out. This ensures the clarity of voice communication and auditory comfort while avoiding adverse effects of noise on physiological signal acquisition and personnel attention.

[0065] In one embodiment of this specification, the health monitoring system 600 further includes a graded power consumption module 604; The graded power consumption module 604 is used for: In the first power consumption level mode, only the inertial sensor, environmental monitoring module and physiological monitoring module are activated. When the head motion data matches the preset fall motion characteristics, the second power consumption level mode is activated. In the second power level mode, the eye-tracking module is activated. When the consciousness state type is determined to be loss of consciousness, the third power level mode is activated. In the third power consumption level mode, the locator is activated and sends an accident alarm containing the wearer's location information to the monitoring center.

[0066] In this embodiment, the first power consumption level mode can be understood as the system standby state. The second power consumption level mode can be understood as the warning state. The third power consumption level mode can be understood as the alarm state. The power consumption level modes increase progressively from the first to the third. Activating the corresponding device under different power consumption level modes can reduce energy consumption and extend battery life.

[0067] In some other embodiments of this specification, the health status determination module 601 is also used for: The locator can obtain the relative positions and movement trajectories of multiple wearers in the same work area in real time. When a suspected fall or hidden poisoning event is determined based on data from a single wearer, collaborative verification is initiated, specifically including: Access the IMU data of other wearers in the same work area, and check for abnormal group movements based on the IMU data, such as multiple people experiencing weightlessness or impact at the same time; Data from the environmental monitoring modules of other wearers were reviewed to detect the consistency of gas concentration spatial distribution. If the anomaly is only in a single individual and there is no spatial correlation in the environmental data, then maintain the alarm response for that wearer; If abnormal group movement is detected and the similarity of environmental data exceeds a preset similarity threshold, it is determined to be a regional environmental disaster (such as roof collapse or local gas outburst), triggering a regional group evacuation alarm and suppressing potential individual false alarms. Individual false alarms can be understood as reports that differ from those related to regional environmental disasters.

[0068] In this embodiment, if only one person is abnormal and the environmental data is not spatially correlated, it is treated as an individual alarm; if multiple people are abnormally moving (such as falling down together) and the environmental parameters (such as gas concentration) are highly consistent in space, it is intelligently identified as a regional disaster (such as gas outburst or roof collapse), triggering a group evacuation order and suppressing isolated false alarms. This not only improves the accuracy of judging individual events, but also upgrades from individual monitoring to group risk perception, enhancing the overall emergency response of the mine.

[0069] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units.

[0070] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as OM / AM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0071] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention 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; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A mining safety helmet with an embedded periscope design, characterized in that, include: The main body of the cap has a reinforcing rib groove inside the brim; An eye-tracking module, at least a portion of which is located within the reinforcing rib groove, is used to collect eye movement characteristic parameters of the helmet wearer; An environmental monitoring module, located on the side of the main body of the cap, is used to monitor environmental parameters; A physiological monitoring module, located in the inner lining of the main body of the cap, is used to collect the wearer's physiological parameters; A counterweight module is located at the rear of the helmet body to balance the center of gravity of the mining safety helmet; An alarm module, located on the rear side of the counterweight module, is used to generate alarm information; A bone conduction vibration module, located in the liner corresponding to the wearer's temporal bone, is used to convert electrical signals into mechanical vibrations and transmit them to the wearer's skull; The controller, located on the back of the cap body, is used to monitor the wearer's health status based on the eye movement feature parameters, the environmental parameters, and the physiological parameters. When the health status is abnormal, the controller controls the alarm module to generate an alarm message and the bone conduction vibration module to generate device vibration.

2. The embedded periscope-type mining safety helmet according to claim 1, characterized in that, The eye-tracking module includes: A supplementary light, located within the groove of the reinforcing rib, is used to provide illumination to the wearer's eyes; A viewing window, located on the downward-facing side of the brim, is used to allow reflected light from the wearer's eyes to pass through; A light path deflector is disposed in the groove of the reinforcing rib and is used to deflect the light passing through the viewing window; An image sensor, horizontally positioned within the reinforcing rib groove, is used to receive light rays after they have been redirected by the light path deflection element and to generate an eye image; The image sensor, the optical path steering element, and the viewing window together form a periscope-style folded optical path, which allows the image sensor to avoid impact from the brim and provides protection for the image sensor by utilizing the structural strength of the reinforcing rib groove.

3. The embedded periscope-type mining safety helmet according to claim 1, characterized in that, The environmental monitoring module includes: A flow channel is located on the side of the cap body, with one end of the flow channel facing the front of the cap body and bending downwards, and the other end facing the rear of the cap body and bending upwards. A gas sensor array, located within the flow channel, is used to detect the composition of the gas passing through the flow channel; A dustproof and breathable membrane is placed over the air inlet of the flow channel to block dust and allow gas to pass through.

4. The embedded periscope-type mining safety helmet according to claim 1, characterized in that, The physiological monitoring module includes: The forehead attachment, located within the liner at a position corresponding to the wearer's forehead, is used to collect physiological signals from the wearer's forehead region. A reflective optical sensor, located within the liner at a position corresponding to the wearer's superficial temporal artery, is used to detect blood flow parameters; The controller integrates a positioner and an inertial sensor; The locator is used to collect the wearer's location; The inertial sensor is used to collect the wearer's inertial parameters.

5. A health monitoring system for a mining safety helmet with an embedded periscope, characterized in that, The health monitoring system is applied to the controller in the embedded periscope-type mining safety helmet according to any one of claims 1 to 4, wherein the environmental parameters include gas concentration data, the physiological parameters include blood oxygen saturation data, and the health monitoring system comprises: The health status assessment module is used for: Determine the range of the gas concentration data, the changes in the blood oxygen saturation data, and the changes in the eye movement characteristic parameters; When the gas concentration data is within a preset normal range, and both the eye movement feature parameters and the blood oxygen saturation data decrease, and the rate of decrease is lower than the first change threshold, it is determined to be a state of occupational physiological fatigue. When the gas concentration data falls within a preset abnormal range, and both the eye movement feature parameters and the blood oxygen saturation data decrease, and the rate of decrease is greater than the second change threshold, it is determined to be a state of overt hypoxia or poisoning; wherein, the second change threshold is greater than the first change threshold. When the gas concentration data indicates the presence of carbon monoxide, the eye movement characteristic parameters show characteristics of ocular nerve motor function inhibition, and the blood oxygen saturation data is within the preset normal blood oxygen range, it is determined to be a state of concealed carbon monoxide poisoning.

6. The health monitoring system for an embedded periscope-type mining safety helmet according to claim 5, characterized in that, The health monitoring system also includes: The fall status detection module is used for: Acquire head motion data collected by inertial sensors; When the head movement data matches the preset fall movement characteristics, it is marked as a suspected fall event, and the eye-tracking module is controlled to collect images of the wearer's eyes; Based on the eye image, the wearer's state of consciousness is determined, and based on the state of consciousness, the corresponding response operation is determined.

7. The health monitoring system for an embedded periscope-type mining safety helmet according to claim 6, characterized in that, When the head movement data matches preset fall movement characteristics, it is marked as a suspected fall event, including: Determine the triaxial acceleration in the head motion data, and calculate the resultant acceleration based on the triaxial acceleration; When the combined acceleration drops to the first target acceleration threshold within the first time period, it is determined that the wearer is in the process of falling. When the combined acceleration increases to the second target acceleration threshold, it is determined that the wearer is in an impact state after a fall; wherein the second target acceleration threshold is greater than the first target acceleration threshold; When the combined acceleration indicates that the wearer is stationary, it is marked as a suspected fall event.

8. The health monitoring system for an embedded periscope-type mining safety helmet according to claim 6, characterized in that, The process of determining the wearer's state of consciousness type based on the eye image and determining the corresponding response operation based on the state of consciousness type includes: Identify the eye state in the eye image; If the eye status indicates that both eyes are closed, or the pupils do not contract in response to supplemental light, or the eyeballs are fixed, and the consciousness status is determined to be loss of consciousness, then an accident alarm containing the wearer's location information is generated and sent to the monitoring center. If the eye condition indicates saccadic eye movements or blinking reflexes, and the consciousness state is determined to be conscious, a reminder message is sent to the wearer.

9. The health monitoring system for an embedded periscope-type mining safety helmet according to claim 5, characterized in that, The health monitoring system also includes: Noise cancellation module, used for: Acquire ambient noise signals from the wearer's ear; Determine the noise spectrum of the environmental noise signal; An antiphase acoustic signal with the opposite phase to the noise spectrum is generated to cancel the noise.

10. The health monitoring system for an embedded periscope-type mining safety helmet according to claim 8, characterized in that, Also includes: Tiered power consumption module, used for: In the first power consumption level mode, only the inertial sensor, environmental monitoring module and physiological monitoring module are activated. When the head motion data matches the preset fall motion characteristics, the second power consumption level mode is activated. In the second power level mode, the eye-tracking module is activated. When the consciousness state type is determined to be loss of consciousness, the third power level mode is activated. In the third power consumption level mode, the locator is activated and sends an accident alarm containing the wearer's location information to the monitoring center.

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