Deep underground chamber toxic gas monitoring and early warning management method and related equipment thereof

Abstract

The application provides a deep underground chamber toxic gas monitoring and early warning management method and related equipment thereof, comprising: obtaining gas monitoring data in a target area and position data and state data of target personnel in a current period; based on the gas monitoring data, a regional gas risk field corresponding to the target area is constructed; based on the position data and the state data, a personnel exposure associated area is determined; the personnel exposure associated area and the regional gas risk field are mapped and matched to obtain a corresponding exposure matching result; based on the exposure matching result, a gas risk level and the state data, a corresponding toxic gas inhalation risk level is determined; based on the toxic gas inhalation risk level, a mine cap protection control strategy is generated, and the mine cap is controlled to perform processing according to the mine cap protection control strategy. Through the above method steps, the accuracy, pertinence and timeliness of the mine field toxic gas warning can be improved, the risk of underground personnel misinhaling toxic gas is reduced, and the safety protection effect of the mine field operation is improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent early warning, and in particular to a method, device, electronic device and storage medium for monitoring and early warning management of toxic gases in deep underground chambers. Background Technology

[0002] The working environment of deep underground chambers is typically characterized by enclosed spaces, complex ventilation conditions, and frequent personnel movement. During mining, tunneling, transportation, and maintenance operations, harmful gases such as carbon monoxide, hydrogen sulfide, and methane can easily be generated or accumulate. If abnormally high concentrations of toxic gases are not detected in time and effective warnings are not issued to underground workers, it can easily lead to safety accidents such as poisoning, oxygen deficiency, and explosions. Therefore, real-time monitoring and early warning of toxic gases in mines are crucial for ensuring the safety of underground workers.

[0003] Existing methods for monitoring toxic gases typically rely on fixed gas detection equipment, portable gas detectors, or simple alarm devices, primarily based on whether the gas concentration exceeds a preset threshold. While these methods can detect some gas anomalies, they often fail to accurately reflect the actual exposure risk to different individuals in different locations and under different movement states, easily leading to a mismatch between area alarms and the actual risk to individuals. Furthermore, existing early warning methods are mostly limited to audible and visual alarms or platform prompts, making it difficult to trigger timely protective responses tailored to individual risks, resulting in insufficient targeted warnings and inadequate safety protection effectiveness.

[0004] Therefore, improving the accuracy of toxic gas monitoring and early warning in deep underground chambers for identifying individual risks to underground workers and ensuring timely protective responses has become an urgent technical problem to be solved. Summary of the Invention

[0005] This invention provides a method for monitoring and early warning management of toxic gases in deep underground chambers, in order to solve the problem that existing technologies for toxic gas monitoring and early warning cannot effectively correlate regional gas risks with individual personnel exposure, resulting in insufficient accuracy in identifying personnel inhalation risks and poor targeted early warning and protection responses.

[0006] In a first aspect, the present invention provides a method for monitoring and early warning management of toxic gases in deep underground chambers, the method comprising the following steps: Acquire gas monitoring data within the target area, as well as the location and status data of the target personnel during the current time period; Based on the gas monitoring data, a regional gas risk field corresponding to the target area is constructed. The regional gas risk field includes multiple risk units and the gas risk level corresponding to each risk unit. Based on the location data and the status data, determine the personnel exposure association area corresponding to the target personnel; The personnel exposure associated area is mapped and matched with the regional gas risk field to obtain the exposure matching result corresponding to the target personnel. The exposure matching result includes the target risk unit that matches the personnel exposure associated area and the exposure associated parameters of the target personnel relative to the target risk unit. Based on the exposure matching results, the gas risk level, and the status data, the toxic gas inhalation risk level corresponding to the target personnel is determined; Based on the risk level of inhaling the toxic gas, a mine helmet protection control strategy is generated, and the mine helmet is controlled to perform at least one of the following treatments according to the mine helmet protection control strategy: toxic gas filtration protection, oxygen supply, alarm prompts, and evacuation prompts.

[0007] Optionally, acquiring gas monitoring data within the target area and location and status data of the target personnel within the current time period includes: Obtain raw gas data collected by at least one gas collection node within the target area during the current time period. The raw gas data includes at least one of the following: gas type, gas concentration, collection time, and collection location. Based on the acquisition time and the acquisition location, the raw gas data is subjected to spatiotemporal marking processing to obtain gas monitoring data within the target area; The location data collected by the smart mining helmet during the current time period is obtained, and the location data of the target personnel during the current time period is determined based on the location data; The smart mining helmet acquires the target personnel status detection data collected during the current time period, and determines the target personnel status data during the current time period based on the target personnel status detection data.

[0008] Optionally, constructing the regional gas risk field corresponding to the target area based on the gas monitoring data includes: Based on the regional spatial information corresponding to the target area, the target area is divided into multiple risk units; Based on the monitoring location corresponding to the gas monitoring data, the gas monitoring data is matched to the corresponding risk unit; Based on the gas monitoring data corresponding to each risk unit, the gas risk characteristics corresponding to each risk unit are determined. The gas risk characteristics include at least one of gas concentration, gas concentration change rate and duration of continuous exceedance. Based on the gas risk characteristics and the preset gas risk determination rules, the gas risk level corresponding to each risk unit is determined; Based on the multiple risk units and the gas risk level corresponding to each risk unit, a regional gas risk field corresponding to the target area is generated.

[0009] Optionally, determining the personnel exposure association area corresponding to the target personnel based on the location data and the status data includes: Based on the location data, determine the current location of the target person within the current time period; Based on the status data, determine the movement trend parameters and protection status parameters of the target person in the current time period; Based on the current location of the person and the movement trend parameters, determine the initial exposure associated area corresponding to the target person; Based on the protection status parameters, the initial exposure associated area is modified to obtain the personnel exposure associated area corresponding to the target personnel.

[0010] Optionally, the step of mapping and matching the personnel exposure-associated area with the regional gas risk field to obtain the exposure matching result corresponding to the target personnel includes: Determine the geographical location range of the personnel exposure-associated area within the target area; Based on the location range of the region, candidate risk units that have a spatial relationship with the personnel exposure associated area are determined from multiple risk units included in the regional gas risk field; Spatial overlay matching is performed on the personnel exposure associated region and the candidate risk unit to obtain the region matching parameters between the personnel exposure associated region and each of the candidate risk units; Based on the region matching parameters, target risk units that match the personnel exposure-related regions are determined from each of the candidate risk units; Based on the region matching parameters between the personnel exposure association region and the target risk unit, the exposure association parameters of the target personnel relative to the target risk unit are determined; Based on the target risk unit and the exposure association parameters, an exposure matching result corresponding to the target personnel is generated.

[0011] Optionally, determining the toxic gas inhalation risk level of the target person based on the exposure matching results, the gas risk level, and the status data includes: Obtain the target risk unit and the exposure association parameters of the target person relative to the target risk unit from the exposure matching results; Based on the target risk unit, the gas risk level corresponding to the target risk unit is determined from the regional gas risk field; Based on the status data, determine the personnel risk correction parameters corresponding to the target personnel; Based on the gas risk level corresponding to the target risk unit, the exposure correlation parameters, and the personnel risk correction parameters, the toxic gas inhalation risk value corresponding to the target personnel is determined. Based on the preset risk level range to which the risk value of inhaling the toxic gas belongs, the risk level of inhaling the toxic gas corresponding to the target person is determined.

[0012] Optionally, the step of generating a mine helmet protection control strategy based on the toxic gas inhalation risk level, and controlling the mine helmet to perform at least one of the following treatments according to the mine helmet protection control strategy: toxic gas filtration protection, oxygen supply, alarm prompts, and evacuation prompts, including: Based on the risk level of inhaling the toxic gas, a target protection level corresponding to the risk level of inhaling the toxic gas is determined from a set of preset protection strategies; Based on the target protection level, the mine helmet protection control strategy is determined, and the mine helmet protection control strategy includes at least one of the following: toxic gas protection control parameters, oxygen supply control parameters, alarm prompt parameters, and evacuation prompt parameters; Based on the aforementioned filtration and protection control parameters, the smart mining helmet is controlled to enter the filtration and protection state; Based on the oxygen supply control parameters, the smart mining helmet is controlled to enter the oxygen supply state; Based on the alarm prompt parameters, the smart mining helmet is controlled to output alarm prompt information; Based on the evacuation prompt parameters, the smart mining helmet is controlled to output evacuation prompt information.

[0013] Secondly, the present invention also provides a monitoring and early warning management device for toxic gases in deep underground chambers, the monitoring and early warning management device for toxic gases in deep underground chambers comprising: The first acquisition module is used to acquire gas monitoring data within the target area, as well as the location and status data of the target personnel during the current time period; The first construction module is used to construct a regional gas risk field corresponding to the target area based on the gas monitoring data. The regional gas risk field includes multiple risk units and the gas risk level corresponding to each risk unit. The first determining module is used to determine the personnel exposure association area corresponding to the target personnel based on the location data and the status data; The first matching module is used to map and match the personnel exposure associated area with the regional gas risk field to obtain the exposure matching result corresponding to the target personnel. The exposure matching result includes the target risk unit that matches the personnel exposure associated area and the exposure associated parameters of the target personnel relative to the target risk unit. The second determining module is used to determine the toxic gas inhalation risk level of the target person based on the exposure matching results, the gas risk level, and the status data. The first generation module is used to generate a mine helmet protection control strategy based on the risk level of inhaling the toxic gas, and control the mine helmet to perform at least one of the following treatments according to the mine helmet protection control strategy: toxic gas filtration protection, oxygen supply, alarm prompts, and evacuation prompts.

[0014] Thirdly, the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps in the deep underground chamber toxic gas monitoring and early warning management method provided by the present invention.

[0015] Fourthly, the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the method for monitoring and early warning management of toxic gases in deep underground chambers provided by the invention.

[0016] This invention acquires gas monitoring data within a target area, as well as the location and status data of target personnel during the current time period; based on the gas monitoring data, it constructs a regional gas risk field corresponding to the target area; based on the location and status data, it determines the corresponding personnel exposure-related areas; it maps and matches the personnel exposure-related areas with the regional gas risk field to obtain the corresponding exposure matching results; based on the exposure matching results, gas risk levels, and status data, it determines the corresponding toxic gas inhalation risk level; based on the toxic gas inhalation risk level, it generates a mine helmet protection control strategy, and controls the mine helmet to perform processing according to the mine helmet protection control strategy. Through the above method steps, the accuracy, pertinence, and timeliness of toxic gas early warning in mines can be improved, the risk of underground personnel accidentally inhaling toxic gases can be reduced, and the safety protection effect of mine operations can be improved. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present 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 only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of a method for monitoring and early warning management of toxic gases in deep underground chambers provided by an embodiment of the present invention; Figure 2 This is a schematic diagram of another deep underground chamber toxic gas monitoring and early warning management device provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] like Figure 1 As shown, Figure 1 This is a flowchart of a method for monitoring and early warning management of toxic gases in deep underground chambers, provided by an embodiment of the present invention. The method includes the following steps: 101. Obtain gas monitoring data within the target area, as well as the location and status data of the target personnel during the current time period.

[0021] In this embodiment of the invention, the aforementioned method for monitoring and early warning management of toxic gases in deep underground chambers can be applied to a platform for monitoring and early warning management of toxic gases in deep underground chambers. This platform has functions such as processing toxic gas data, transmitting and receiving toxic gas data, and storing toxic gas data. It can be built on a server or server cluster, where the server or server cluster can be an electronic device with toxic gas data processing capabilities. The platform can also be integrated into the aforementioned smart mining helmet.

[0022] The aforementioned target areas refer to mining workspaces where toxic gas monitoring and personnel safety management are required. These areas are primarily used to define the spatial scope for gas monitoring, personnel location, and risk assessment. These target areas can include underground roadways, mining faces, transportation corridors, equipment maintenance areas, poorly ventilated areas, return airways, or other work areas where toxic gases may accumulate.

[0023] The aforementioned gas monitoring data refers to data used to characterize the gas safety situation within the target area, primarily used to determine whether there are abnormal toxic gas concentrations or oxygen deficiency risks within the target area. This gas monitoring data may include carbon monoxide concentration, hydrogen sulfide concentration, methane concentration, oxygen concentration, gas concentration change rate, collection time, and collection location. It can also be gas detection results obtained from fixed gas collection nodes, mobile detection devices, or smart mining helmets. Toxic gases may include methane, carbon monoxide, hydrogen sulfide, methane, and other toxic gases.

[0024] The aforementioned "current time period" refers to the time range used to acquire relevant data on the target personnel. This is primarily to ensure that gas monitoring data, location data, and status data have a corresponding relationship in the time dimension. The aforementioned "current time period" can be the current sampling cycle, the current early warning cycle, or a time window formed by multiple consecutive sampling cycles, such as the last ten seconds, the last minute, or other time ranges set according to mine safety management requirements.

[0025] The aforementioned location data refers to data used to represent the spatial location of target personnel within a target area, primarily used to determine the spatial relationship between the target personnel and gas-risk locations within the target area. This location data may include lane coordinates, area code, location tag information, relative distance to a location base station, depth information, floor information, or distance information of the target personnel relative to the boundary of the risk area, etc.

[0026] The aforementioned status data refers to data used to characterize the current working and protective status of the target personnel, primarily used to assist in determining whether there is a risk of inhaling toxic gases within the target area. This status data may include movement speed, direction of movement, duration of stay, stationary status, fall status, head orientation, mask wearing status, filtration status, or oxygen supply status, etc.

[0027] In one possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can acquire gas monitoring data within the target area, as well as location and status data of target personnel within the current time period. The gas monitoring data reflects the distribution and changes of toxic gases within the target area, the location data reflects the current location of target personnel within the target area, and the status data reflects the activity and protective measures of target personnel. By simultaneously acquiring gas monitoring data, location data, and status data, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can provide a data foundation for subsequent regional gas risk field construction, identification of personnel exposure-related areas, and assessment of toxic gas inhalation risk levels. This avoids relying solely on gas concentration exceeding limits or personnel entering dangerous areas for single-point early warnings, improving the accuracy, relevance, and timeliness of mine toxic gas monitoring and early warning.

[0028] In one possible embodiment, multiple gas sampling nodes can be deployed within the target area. Each gas sampling node collects gas monitoring data according to a preset sampling period and sends the gas monitoring data to the aforementioned deep underground chamber toxic gas monitoring and early warning management platform. Target personnel can wear smart mining helmets. The smart mining helmets can obtain the target personnel's location data through a built-in positioning module and obtain the target personnel's status data through posture sensors, motion sensors, mask wearing detection structures, or oxygen supply status detection structures. The location data and status data are then sent to the aforementioned deep underground chamber toxic gas monitoring and early warning management platform.

[0029] After receiving gas monitoring data, location data, and status data, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can perform correlation analysis on the gas risk situation in the target area and the on-site status of the target personnel, providing a basis for assessing the individual inhalation risk of the target personnel and controlling the protection of the mine helmet.

[0030] 102. Based on gas monitoring data, construct the regional gas risk field corresponding to the target area.

[0031] In this embodiment of the invention, the aforementioned regional gas risk field may include multiple risk units and the gas risk level corresponding to each risk unit.

[0032] In this embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can generate a data model that reflects the gas risk distribution within the target area based on gas monitoring data. In other words, the above-mentioned construction associates gas monitoring data with the spatial location of the target area, enabling the identification and management of gas risk conditions at different locations within the target area.

[0033] The aforementioned regional gas risk field refers to a dataset used to characterize the spatial distribution of toxic gas risks within a target area, primarily reflecting the differences in gas risk at different locations within the target area. This regional gas risk field can include multiple risk units, gas monitoring data corresponding to each risk unit, the gas risk level corresponding to each risk unit, and the spatial adjacency relationships between risk units. For example, in an underground roadway scenario, the regional gas risk field can represent the gas risk distribution in different roadway sections, bends, return air areas, or working faces.

[0034] The aforementioned risk unit refers to a spatial management unit delineated from the target area, primarily used to carry the gas risk assessment results within the corresponding spatial range. These risk units can be divided according to roadway topology, spatial grid, data acquisition node coverage, work area boundaries, or safety management areas. For example, a roadway segment can be divided into multiple consecutive risk units, or a mining face, an equipment maintenance area, or a poorly ventilated area can be considered as a single risk unit.

[0035] The aforementioned gas risk levels refer to the grades used to indicate the degree of hazard of gases within a risk unit, primarily used to distinguish the safety status of different risk units. These gas risk levels can be determined based on factors such as gas concentration, rate of change of gas concentration, duration of exceeding limits, and abnormal oxygen concentration. For example, when the carbon monoxide concentration is below the warning threshold and changes steadily, the corresponding risk unit can be classified as low-risk; when the carbon monoxide concentration exceeds the warning threshold and continues to rise, the corresponding risk unit can be classified as high-risk.

[0036] In one possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can divide the target area into multiple risk units based on the tunnel topology information, work area boundary information, or gas collection node deployment location information of the target area; then, according to the collection location in the gas monitoring data, the gas monitoring data is matched to the corresponding risk unit; subsequently, based on the gas concentration, gas concentration change rate, and duration of continuous exceedance in each risk unit, the gas risk level corresponding to each risk unit is determined; finally, the multiple risk units and the gas risk levels corresponding to each risk unit are associated to generate a regional gas risk field corresponding to the target area.

[0037] The above methods can transform the risk of toxic gases in the target area from single-point detection results into spatial risk distribution results, providing an accurate basis for subsequent matching of personnel exposure-related areas and judgment of the risk level of toxic gas inhalation, and improving the precision of mine toxic gas early warning management.

[0038] 103. Based on location data and status data, determine the personnel exposure associated area corresponding to the target personnel.

[0039] In this embodiment of the invention, the aforementioned personnel exposure associated area refers to the spatial range determined based on the target personnel's location and status data, used to indicate the potential exposure of the target personnel to toxic gases during the current time period. This personnel exposure associated area is not simply a personnel location point, but a dynamic area formed by combining factors such as the target personnel's current location, direction of movement, speed of movement, duration of stay, head orientation, and protective gear wearing status. It is primarily used to determine whether the target personnel are already within the gas risk impact range, or whether there is a possibility that they are about to enter the gas risk impact range.

[0040] In one possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can determine the current location of the target personnel within the target area based on location data, and determine the target personnel's movement direction, movement speed, and dwell time based on status data. When the target personnel are moving, the platform can generate a personnel exposure associated area within a certain range along the target personnel's movement direction. When the target personnel are stationary or staying for a long time, a personnel exposure associated area covering the surrounding space can be generated with the target personnel's current location as the center. When the target personnel are not wearing a mask or have not entered a toxic gas protection state, the personnel exposure associated area can be appropriately expanded.

[0041] By identifying the areas associated with personnel exposure, subsequent risk assessments can move beyond the individual's current location and take into account the target individual's actual activity range and potential exposure range during the current time period, thereby improving the accuracy of toxic gas inhalation risk assessment and early warning capabilities.

[0042] 104. Map and match the personnel exposure associated area with the regional gas risk field to obtain the exposure matching results corresponding to the target personnel.

[0043] In this embodiment of the invention, the exposure matching result may include a target risk unit that matches the personnel exposure associated area and the exposure associated parameters of the target personnel relative to the target risk unit.

[0044] The aforementioned mapping and matching refers to the process of comparing the spatial range corresponding to the area of ​​personnel exposure with the spatial range corresponding to each risk unit in the regional gas risk field. It is primarily used to determine which risk units a target personnel may be affected by currently or in the short term. This mapping and matching can include methods such as spatial coordinate matching, tunnel topology matching, regional overlap matching, distance boundary matching, or estimated entry time matching.

[0045] The aforementioned exposure matching results refer to the data obtained after matching the personnel exposure-related area with the regional gas risk field. This data is primarily used to represent the correlation between the target personnel and the gas risk location. The exposure matching results may include target risk units and exposure correlation parameters. A target risk unit refers to a risk unit that spatially overlaps with, is close to, or is associated with a movement trend of the personnel exposure-related area. Exposure correlation parameters may include the overlap area ratio, the distance between the target personnel and the boundary of the target risk unit, the expected time of entry into the target risk unit, and the duration of exposure within the target risk unit.

[0046] In one possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can first determine the geographical location of the personnel exposure-related area within the target area, and then screen candidate risk units from multiple risk units in the regional gas risk field based on the geographical location. Subsequently, the platform can perform spatial overlay calculations on the personnel exposure-related area and each candidate risk unit to determine whether there is an overlapping area between the personnel exposure-related area and each candidate risk unit, and calculate the overlapping area ratio. For candidate risk units that do not overlap but are relatively close, the distance between the boundary of the personnel exposure-related area and the boundary of the candidate risk unit can be further calculated, and the estimated entry time can be calculated by combining the target personnel's movement direction and speed.

[0047] The aforementioned deep underground chamber toxic gas monitoring and early warning management platform can also determine the target risk unit from the candidate risk units based on the overlapping area ratio, boundary distance, expected entry time and exposure duration, and generate exposure correlation parameters of the target personnel relative to the target risk unit, thereby obtaining the exposure matching results corresponding to the target personnel.

[0048] In another possible embodiment, when the personnel exposure associated area overlaps with a certain risk unit and the overlap area ratio reaches a preset ratio, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can identify the risk unit as the target risk unit; when the personnel exposure associated area does not overlap with the risk unit, but the target personnel are moving toward the risk unit and the expected entry time is less than a preset time threshold, the risk unit can also be identified as the target risk unit.

[0049] Through the above mapping and matching, the relationship between regional gas risk and the actual exposure of target personnel can be quantitatively correlated, providing a basis for subsequent determination of the risk level of toxic gas inhalation, and improving the advance and accuracy of early warning judgment.

[0050] 105. Based on exposure matching results, gas risk levels, and status data, determine the toxic gas inhalation risk level of the target personnel.

[0051] In this embodiment of the invention, the aforementioned toxic gas inhalation risk level refers to a classification result indicating the likelihood and degree of danger of a target person inhaling toxic gases, mainly used to provide a basis for judgment in subsequent mine helmet protection and control strategies. The aforementioned toxic gas inhalation risk level can be determined based on the exposure relationship between the target person and the target risk unit, the gas risk level corresponding to the target risk unit, and the target person's status data. For example, it can be divided into low-risk, medium-risk, and high-risk levels, or it can be classified according to warning, danger, emergency, etc.

[0052] In one possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can obtain target risk units and exposure correlation parameters from exposure matching results, and determine the gas risk level corresponding to the target risk unit. Exposure correlation parameters can reflect the spatial and temporal relationships between target personnel and target risk units, while status data can reflect the activity and protection status of target personnel. The platform can determine a basic risk level based on the gas risk level, then perform exposure correction on the basic risk level using exposure correlation parameters, and further correct the risk level based on personnel status using status data to obtain the toxic gas inhalation risk value corresponding to the target personnel. Finally, based on the preset level range where the toxic gas inhalation risk value falls, the platform determines the toxic gas inhalation risk level corresponding to the target personnel.

[0053] The above processing can avoid issuing a uniform alarm based solely on the gas concentration in the target area, making the warning results more consistent with the actual exposure and protection status of the target personnel, and improving the accuracy of the assessment of the risk of inhaling toxic gases.

[0054] In one possible embodiment, if the gas risk level of the target risk unit is high, and the overlap between the personnel exposure associated area and the target risk unit is large and the exposure time is long, and the status data indicates that the target personnel are in a stationary state or are not wearing masks, then the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can determine the toxic gas inhalation risk level of the target personnel as high.

[0055] If the target personnel are only approaching the boundary of the target risk unit, the expected entry time is relatively long, and the status data indicates that the target personnel are already in a state of toxic gas inhalation protection, then the risk level of toxic gas inhalation can be determined as low. By combining exposure matching results, gas risk levels, and status data in the judgment, the precision of individual risk classification can be improved, providing a more accurate basis for subsequent toxic gas inhalation protection, oxygen supply, alarm prompts, and evacuation prompts.

[0056] 106. Based on the risk level of toxic gas inhalation, generate a mine helmet protection control strategy, and control the mine helmet to perform at least one of the following treatments according to the mine helmet protection control strategy: toxic gas filtration protection, oxygen supply, alarm prompts, and evacuation prompts.

[0057] In this embodiment of the invention, the aforementioned mine helmet protection control strategy refers to a mine helmet end protection execution plan generated based on the risk level of toxic gas inhalation. It is mainly used to determine the protective state the smart mine helmet needs to enter and the output prompts. The aforementioned mine helmet protection control strategy may include parameters such as toxic gas filtration protection control parameters, oxygen supply control parameters, alarm prompt parameters, and evacuation prompt parameters.

[0058] The aforementioned filtration protection refers to procedures that allow personnel to breathe filtered air or prompt them to enter a filtration protection state, primarily to reduce the risk of inhaling toxic gases. This filtration protection may include prompting the wearing of a gas mask, opening the filter intake channel, activating auxiliary air supply, and switching to a filtration breathing path.

[0059] The aforementioned oxygen supply refers to the method of controlling the supply of oxygen to personnel in a smart mining helmet when the risk of inhaling toxic gases is high or the oxygen concentration is abnormal. It is primarily used to ensure the short-term respiratory safety of personnel in hazardous environments. This oxygen supply may include activating the oxygen supply device, adjusting the oxygen flow rate, or displaying oxygen supply status prompts.

[0060] The aforementioned alarm prompts refer to the process of issuing risk alerts to target personnel or monitoring terminals, primarily used to notify them of the current risk of inhaling toxic gases. These alarm prompts may include audible alerts, visual alerts, vibration alerts, voice announcements, and communication alarms.

[0061] The aforementioned evacuation prompts refer to the procedures for guiding personnel away from the risk area, primarily used to reduce the risk of continued exposure to toxic gases. These evacuation prompts may include evacuation direction prompts, evacuation route prompts, prompts to move away from the target risk unit, or prompts to return to a safe area.

[0062] In one possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can generate a mine helmet protection control strategy based on the toxic gas inhalation risk level of the target personnel, and control the smart mine helmet to perform at least one of the following actions according to the mine helmet protection control strategy: toxic gas filtration protection, oxygen supply, alarm prompts, and evacuation prompts. For example, when the toxic gas inhalation risk level is low, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can control the smart mine helmet to output an alarm prompt, reminding the target personnel to pay attention to the surrounding gas risks; when the toxic gas inhalation risk level increases, it can control the smart mine helmet to enter the toxic gas filtration protection state and prompt the target personnel to wear a gas mask or confirm the filtration protection state; when the toxic gas inhalation risk level reaches a high level, it can control the smart mine helmet to start oxygen supply and output an evacuation prompt, while simultaneously sending the target personnel's location data, status data, and risk level information to the monitoring terminal.

[0063] Through the above treatment, the protective action of the mining helmet can be matched with the actual inhalation risk of the target personnel, avoiding the problem of only alarming without protective response, and improving the safety protection capability of mine workers in toxic gas environments.

[0064] In another possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can also determine the evacuation direction to avoid high-risk areas based on the location of the target risk unit and the gas risk level, and output evacuation prompts to the target personnel through voice, light or vibration via smart mining helmets.

[0065] By translating risk level assessments into specific protective controls and evacuation guidance, the timeliness and feasibility of early warning responses can be improved.

[0066] In this embodiment of the invention, gas monitoring data within the target area and the location and status data of target personnel within the current time period are acquired; based on the gas monitoring data, a regional gas risk field corresponding to the target area is constructed; based on the location and status data, the corresponding personnel exposure-related areas are determined; the personnel exposure-related areas are mapped and matched with the regional gas risk field to obtain the corresponding exposure matching results; based on the exposure matching results, gas risk levels, and status data, the corresponding toxic gas inhalation risk level is determined; based on the toxic gas inhalation risk level, a mine helmet protection control strategy is generated, and the mine helmet is controlled to perform processing according to the mine helmet protection control strategy. Through the above method steps, the accuracy, pertinence, and timeliness of mine toxic gas early warning can be improved, the risk of underground personnel accidentally inhaling toxic gases can be reduced, and the safety protection effect of mine operations can be improved.

[0067] Optionally, in the steps of acquiring gas monitoring data within the target area and location and status data of target personnel within the current time period, the raw gas data collected by at least one gas acquisition node within the target area during the current time period can also be acquired. The raw gas data includes at least one of gas type, gas concentration, acquisition time, and acquisition location. Based on the acquisition time and acquisition location, the raw gas data is subjected to spatiotemporal labeling processing to obtain gas monitoring data within the target area. The positioning data collected by the smart mining helmet during the current time period is acquired, and the location data of target personnel within the current time period is determined based on the positioning data. The status detection data of target personnel collected by the smart mining helmet during the current time period is acquired, and the status data of target personnel within the current time period is determined based on the status detection data.

[0068] In this embodiment of the invention, the aforementioned raw gas data refers to gas detection data directly collected by the gas acquisition node that has not yet undergone time-space correlation processing. This data may include at least one of the following: gas type, gas concentration, acquisition time, and acquisition location. The gas type may be carbon monoxide, hydrogen sulfide, methane, or oxygen, etc., and the gas concentration is used to indicate the content of the corresponding gas at the acquisition location.

[0069] The aforementioned spatiotemporal labeling process refers to the process of associating and identifying raw gas data with the acquisition time and location. It is mainly used to enable gas detection results to correspond to specific times and spatial locations within the target area, providing a data foundation for the subsequent construction of regional gas risk fields.

[0070] The aforementioned positioning data refers to the basic data collected by the smart mining helmet at the current time period to determine the location of the target personnel. This data may include positioning coordinates, positioning base station information, positioning tag information, or the relative positional relationship with a preset area. The aforementioned target personnel status detection data refers to the data collected by the smart mining helmet to determine the activity status and protective status of the target personnel. This data may include motion data, posture data, stationary data, mask wearing detection data, or oxygen supply status detection data.

[0071] In one possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can acquire raw gas data collected by at least one gas collection node within the target area during the current time period, and perform spatiotemporal marking processing based on the collection time and location in the raw gas data to obtain gas monitoring data within the target area. Simultaneously, the platform can acquire location data collected by the smart mining helmet during the current time period and determine the location data of target personnel based on the location data; it can also acquire target personnel status detection data collected by the smart mining helmet during the current time period and determine the status data of target personnel based on the target personnel status detection data.

[0072] Through the above processing, gas monitoring data, location data, and status data can be correlated in time and space, which facilitates the subsequent accurate determination of the correlation between target personnel and gas risk areas and improves the reliability of toxic gas early warning judgment.

[0073] Optionally, the step of constructing a regional gas risk field corresponding to the target area based on gas monitoring data further includes: dividing the target area into multiple risk units based on the regional spatial information corresponding to the target area; matching the gas monitoring data to the corresponding risk units based on the monitoring locations corresponding to the gas monitoring data; determining the gas risk characteristics corresponding to each risk unit based on the gas monitoring data corresponding to each risk unit, wherein the gas risk characteristics include at least one of gas concentration, gas concentration change rate, and duration of continuous exceedance; determining the gas risk level corresponding to each risk unit based on the gas risk characteristics and preset gas risk judgment rules; and generating a regional gas risk field corresponding to the target area based on multiple risk units and the gas risk levels corresponding to each risk unit.

[0074] In this embodiment of the invention, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can use the tunnel topology, work area boundary, gas collection node location, and ventilation direction of the target area as regional spatial information, and divide the target area into multiple risk units based on the regional spatial information. Each risk unit corresponds to a spatial range, and multiple risk units can establish adjacency relationships based on tunnel connectivity, adjacent distance, or ventilation direction.

[0075] Specifically, the gas risk field in the aforementioned region can be represented as: G(t) = {u i A i N i S i (t), L i (t)} Among them, u i Let A represent the i-th risk unit. i N represents the spatial range corresponding to the i-th risk unit. i S represents the set of adjacent risk units corresponding to the i-th risk unit. i (t) represents the gas risk score of the i-th risk unit at the current time, L i (t) represents the gas risk level of the i-th risk unit at the current moment.

[0076] The aforementioned deep underground chamber toxic gas monitoring and early warning management platform can match gas monitoring data to corresponding risk units based on the collection location of the gas monitoring data. When the collection location of a certain gas monitoring data is located in risk unit A... i When this occurs, the gas monitoring data can be categorized into risk unit u. i When the sampling location is near the boundary of two risk units, the corresponding risk unit can be determined according to the principle of closest proximity, the coverage area of ​​the sampling node, or the roadway connectivity. For risk units without direct gas sampling nodes, compensation estimates can be made based on gas monitoring data from adjacent risk units, ventilation direction, and distance attenuation relationships.

[0077] In another possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can perform feature calculations on the gas monitoring data within each risk unit.

[0078] With risk unit u i Taking the j-th type of gas as an example, the current gas concentration is denoted as C. ij (t), where the gas concentration at the previous sampling time is denoted as . The rate of change of gas concentration can be expressed as If the preset concentration threshold for the j-th type of gas is L... j The duration of continuous over-limit can be determined based on the continuous satisfaction of the limit. The sampling duration is determined. Therefore, the risk unit u i The gas risk characteristics corresponding to the j-th type of gas may include gas concentration C. ij (t), rate of change of gas concentration R ij (t) and duration of over-limit T ij (t).

[0079] In one possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can calculate risk unit u based on gas risk characteristics. i Gas risk score S i (t).

[0080] Gas Risk Score i (t) can be represented as:

[0081] in, Let represent the gas risk score of the i-th risk unit at time t, and m represent the number of gas types involved in the risk assessment. This represents the risk weight corresponding to the j-th type of gas. This represents the gas concentration of type j gas within the i-th risk unit at time t. This represents the preset concentration threshold corresponding to the j-th type of gas. This represents the rate of change of gas concentration of type j within the i-th risk unit at time t. This represents the baseline value of the rate of change corresponding to the j-th type of gas. This represents the duration of the j-th type of gas exceeding the limit at time t within the i-th risk unit. denoted as the baseline value for the duration of continuous exceedance corresponding to the j-th type of gas, and a, b, and c represent the weighting coefficients corresponding to the gas concentration, the rate of change of gas concentration, and the duration of continuous exceedance, respectively.

[0082] In one possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can be based on a gas risk score S. i (t) Determine the risk unit u i Corresponding gas risk level L i (t). For example, when S i When (t) is less than the first risk threshold, it is determined to be a low-risk level; when S i When (t) is greater than or equal to the first risk threshold and less than the second risk threshold, it is determined to be at a medium risk level; when S i When (t) is greater than or equal to the second risk threshold, it is determined to be a high-risk level. After determining the gas risk level corresponding to each risk unit, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can associate multiple risk units, the spatial range corresponding to each risk unit, the adjacent relationship, the gas risk score and the gas risk level to form a regional gas risk field corresponding to the target area.

[0083] By using the above construction method, dispersed gas detection results can be transformed into spatialized, hierarchical, and matchable gas risk distribution results, providing a clear data foundation for subsequent mapping and matching of personnel exposure-related areas.

[0084] Optionally, the step of determining the personnel exposure association area corresponding to the target personnel based on location data and status data further includes: determining the current location of the target personnel in the current time period based on location data; determining the movement trend parameters and protection status parameters of the target personnel in the current time period based on status data; determining the initial exposure association area corresponding to the target personnel based on the current location and movement trend parameters; and performing regional correction processing on the initial exposure association area based on the protection status parameters to obtain the personnel exposure association area corresponding to the target personnel.

[0085] In this embodiment of the invention, the aforementioned current location of the personnel refers to the specific location of the target personnel within the target area during the current time period, determined based on location data. This location is primarily used as a spatial reference for generating personnel exposure association areas. The current location of the personnel can be determined by the positioning coordinates uploaded by the smart mining helmet, positioning tag information, tunnel number, or the relative distance to the positioning base station.

[0086] The aforementioned motion trend parameters refer to the changes in the movement of a target person within the current time period, determined based on status data. These parameters are primarily used to determine the direction and extent of potential exposure to toxic gases. These motion trend parameters may include movement direction, speed, acceleration, duration of stay, or trends in movement trajectory.

[0087] The aforementioned protective status parameters refer to the current protective status of the target personnel determined based on status data, and are mainly used to adjust the risk range of the target personnel's exposure to toxic gases. These protective status parameters may include mask wearing status, filtration protection status, oxygen supply status, or the activation status of protective devices, etc.

[0088] The aforementioned initial exposure associated area refers to the spatial range initially generated based on the personnel's current location and movement trend parameters. It is mainly used to represent the range of activities or predicted activity range of the target personnel who may be exposed to toxic gases during the current time period. For example, when the target personnel are stationary, the initial exposure associated area can be a preset radius area centered on the personnel's current location; when the target personnel move, the initial exposure associated area can extend along the direction of movement to form a fan-shaped area, an elliptical area, or an extended area in the direction of the alleyway.

[0089] The aforementioned area correction processing refers to the process of expanding, shrinking, or adjusting the direction of the initial exposure-related area based on protection status parameters. This is primarily used to make the personnel exposure-related area more consistent with the actual protection status of the target personnel. For example, when the target personnel are not wearing a mask or have not entered a filtering protection state, the initial exposure-related area can be expanded; when the target personnel are wearing a mask and in a filtering protection state, the initial exposure-related area can be shrunk or the exposure-related degree of some areas can be reduced.

[0090] In one possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can determine the current location of a target person within the current time period based on location data, and determine the target person's movement trend parameters and protection status parameters within the current time period based on status data. The platform can first determine a spatial reference point based on the person's current location, then determine the initial exposure-related area where the target person may be exposed to toxic gases based on the direction of movement, movement speed, and duration of stay. Subsequently, it performs regional correction processing on the initial exposure-related area based on the mask wearing status, filtration protection status, or oxygen supply status to obtain the personnel exposure-related area corresponding to the target person.

[0091] Through the above processing, the area associated with personnel exposure can simultaneously reflect the current location, movement trend, and protective status of the target personnel, providing a more accurate spatial basis for subsequent mapping and matching with the regional gas risk field, thereby improving the accuracy of toxic gas inhalation risk assessment.

[0092] Optionally, the step of mapping and matching the personnel exposure-related area with the regional gas risk field to obtain the exposure matching result for the target personnel further includes: determining the regional location range of the personnel exposure-related area within the target area; based on the regional location range, identifying candidate risk units that have a spatial relationship with the personnel exposure-related area from multiple risk units included in the regional gas risk field; performing spatial overlay matching on the personnel exposure-related area and the candidate risk units to obtain regional matching parameters between the personnel exposure-related area and each candidate risk unit; based on the regional matching parameters, identifying the target risk unit that matches the personnel exposure-related area from each candidate risk unit; determining the exposure association parameters of the target personnel relative to the target risk unit based on the regional matching parameters between the personnel exposure-related area and the target risk unit; and generating the exposure matching result for the target personnel based on the target risk unit and the exposure association parameters.

[0093] In this embodiment of the invention, the aforementioned regional location range refers to the spatial range corresponding to the personnel exposure-related area within the target area. It is primarily used to determine the spatial correspondence between the personnel exposure-related area and each risk unit in the regional gas risk field. The aforementioned regional location range can be represented by the boundary coordinates of the personnel exposure-related area, the roadway segment number, the spatial grid number, or the topological node range.

[0094] The aforementioned candidate risk units refer to risk units in the regional gas risk field that have a spatial correlation with areas associated with personnel exposure. They are mainly used to narrow down the calculation scope of mapping matching. The aforementioned spatial correlation can include spatial overlap, boundary distance less than a preset distance threshold, being in front of the target personnel's movement direction, or being located on the same roadway connecting path, etc.

[0095] The aforementioned region matching parameters refer to the degree of matching between the personnel exposure-related area and the candidate risk unit, mainly used to determine whether the candidate risk unit can serve as the target risk unit. These region matching parameters may include at least one of the following: overlap area ratio, boundary distance, estimated entry time, exposure duration, and consistency of movement direction.

[0096] The aforementioned target risk unit refers to a risk unit whose degree of matching with the personnel exposure-related area meets preset matching conditions. It is mainly used to represent the gas risk space that the target personnel may be affected by at present or in the short term. The aforementioned exposure correlation parameters refer to the exposure relationship parameters of the target personnel relative to the target risk unit, which may include the overlap area ratio, entry distance, expected entry time, duration of continuous exposure, or exposure weight, etc.

[0097] The above exposure matching results refer to the result data formed by the target risk unit and exposure correlation parameters. They are mainly used to characterize the actual correlation between the target personnel and the regional gas risk field, and provide a basis for subsequent judgment of the risk level of toxic gas inhalation.

[0098] In one possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can first determine the geographical location of the personnel exposure-related area within the target area, and then screen candidate risk units that have a spatial relationship with the geographical location from multiple risk units included in the regional gas risk field. During the screening process, if a certain risk unit spatially overlaps with the personnel exposure-related area, or the boundary distance between the risk unit and the personnel exposure-related area is less than a preset distance threshold, or the risk unit is located in front of the target personnel's movement direction and is on the same tunnel connection path, then the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can identify the risk unit as a candidate risk unit.

[0099] In one possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can perform spatial overlay matching of personnel exposure-related areas and candidate risk units. Spatial overlay matching can be understood as comparing the spatial range corresponding to the personnel exposure-related area with the spatial range corresponding to the candidate risk unit under the same target area coordinates or the same tunnel topology.

[0100] If the area associated with personnel exposure is denoted as P, then the candidate risk unit is u. i The corresponding spatial range is denoted as A. i Then the overlapping area ratio can be expressed as O i =Area(P∩A i ) / Area(P), where Area(P∩A) i Area(P) represents the area of ​​overlap between the personnel exposure-associated region and the candidate risk unit, and Area(P) represents the area of ​​the personnel exposure-associated region. If P and A...i There is no overlap; the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can calculate P and A. i Minimum boundary distance D between i Based on the target personnel's movement speed v and direction, the estimated entry time E is determined. i =D i / v.

[0101] The aforementioned deep underground chamber toxic gas monitoring and early warning management platform can also be based on the overlap area ratio O i Minimum boundary distance D i Expected entry time E i and exposure duration T i The matching score M between the user-exposed associated region and the candidate risk unit ui is calculated. i The above matching score M i It can be represented as: .

[0102] Where E0 represents the preset entry time baseline value, T0 represents the preset exposure duration baseline value, and T i T represents the exposure duration between the target person and the i-th candidate risk unit. It can be the duration during which the target person has been in the candidate risk unit, or the duration during which the person's exposure-related area and the candidate risk unit remain in a state of continuous overlap or proximity. i The larger the value, the longer the exposure duration and the higher the risk correlation. α, β, γ, and δ represent the weighting coefficients corresponding to the overlap area ratio, boundary distance, expected entry time, and exposure duration, respectively. The aforementioned deep underground chamber toxic gas monitoring and early warning management platform can match the score M... i Candidate risk units that exceed a preset matching threshold are identified as target risk units, or the candidate risk unit with the highest matching score can be identified as the target risk unit.

[0103] In one possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can use the overlapping area ratio, minimum boundary distance, expected entry time, exposure duration, or matching score corresponding to the target risk unit as exposure association parameters, and generate exposure matching results for the target personnel based on the target risk unit and exposure association parameters.

[0104] Through the above mapping and matching, the spatial risk results in the regional gas risk field can be quantitatively correlated with the actual activity range of the target personnel, avoiding the judgment of risk based solely on the current location of the personnel, and improving the accuracy and advance warning of subsequent judgments on the risk level of toxic gas inhalation.

[0105] Optionally, the step of determining the toxic gas inhalation risk level of the target personnel based on exposure matching results, gas risk levels, and state data further includes: obtaining the target risk unit and the exposure correlation parameters of the target personnel relative to the target risk unit from the exposure matching results; determining the gas risk level corresponding to the target risk unit from the regional gas risk field based on the target risk unit; determining the personnel risk correction parameters corresponding to the target personnel based on the state data; determining the toxic gas inhalation risk value corresponding to the target personnel based on the gas risk level, exposure correlation parameters, and personnel risk correction parameters corresponding to the target risk unit; and determining the toxic gas inhalation risk level corresponding to the target personnel based on the preset risk level range to which the toxic gas inhalation risk value belongs.

[0106] In this embodiment of the invention, the aforementioned personnel risk correction parameter refers to a parameter determined based on status data and used to correct the risk of a target person inhaling toxic gases. It primarily reflects the impact of the target person's activity and protective status on the inhalation risk. The aforementioned personnel risk correction parameter can be determined based on factors such as whether the target person is stationary, has fallen, has remained stationary for an extended period, is wearing a mask, is in a filtration protection state, or is in an oxygen supply state.

[0107] The aforementioned toxic gas inhalation risk value refers to a numerical result used to quantify the degree of risk of a target person inhaling toxic gases. It is mainly determined by the gas risk level corresponding to the target risk unit, exposure-related parameters, and personnel risk correction parameters. The higher the aforementioned toxic gas inhalation risk value, the higher the likelihood or degree of danger of the target person inhaling toxic gases.

[0108] The aforementioned preset risk level range refers to a pre-defined range of risk value classifications, primarily used to convert the risk value of toxic gas inhalation into a toxic gas inhalation risk level. This preset risk level range may include low-risk, medium-risk, and high-risk ranges, and can also be divided into warning, alert, danger, and emergency ranges according to mine safety management requirements.

[0109] In one possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can obtain the target risk unit and the exposure correlation parameters of the target personnel relative to the target risk unit from the exposure matching results, and determine the gas risk level corresponding to the target risk unit from the regional gas risk field based on the target risk unit. Subsequently, the platform can determine the personnel risk correction parameters corresponding to the target personnel based on state data. For example, if the target personnel are not wearing a mask, are stationary, or have been there for a long time, the personnel risk correction parameters can be increased; if the personnel are wearing a mask and are in a state of toxic gas protection, the parameters can be decreased. The platform can convert the gas risk level into a gas risk coefficient and, combined with the exposure correlation parameters and personnel risk correction parameters, calculate the toxic gas inhalation risk value corresponding to the target personnel. After calculating the toxic gas inhalation risk value, the platform can determine the preset risk level range to which the toxic gas inhalation risk value belongs and determine the level result of the corresponding range as the toxic gas inhalation risk level corresponding to the target personnel.

[0110] By employing the above methods, regional gas risks, personnel exposure levels, and differences in personnel conditions can be incorporated into the risk assessment process, making the risk level of toxic gas inhalation more consistent with the actual danger level of the target personnel and improving the accuracy of mine toxic gas early warning and mine helmet protection control.

[0111] Optionally, in the steps of generating a mine helmet protection control strategy based on the toxic gas inhalation risk level, and controlling the mine helmet to perform at least one of the following treatments according to the mine helmet protection control strategy: 1. Based on the toxic gas inhalation risk level, determine a target protection level corresponding to the toxic gas inhalation risk level from a preset set of protection strategies; 2. Based on the target protection level, determine the mine helmet protection control strategy, which includes at least one of the following: toxic gas inhalation protection control parameters, oxygen supply control parameters, alarm prompt parameters, and evacuation prompt parameters; 3. Based on the toxic gas inhalation protection control parameters, control the smart mine helmet to enter the toxic gas inhalation protection state; 4. Based on the oxygen supply control parameters, control the smart mine helmet to enter the oxygen supply state; 5. Based on the alarm prompt parameters, control the smart mine helmet to output alarm prompt information; 6. Based on the evacuation prompt parameters, control the smart mine helmet to output evacuation prompt information.

[0112] In this embodiment of the invention, the aforementioned preset protection strategy set refers to a combination of multiple pre-configured protection strategies, mainly used to establish the correspondence between the risk level of toxic gas inhalation and the protective actions of the mine helmet. The aforementioned preset protection strategy set may include low-risk warning strategies, medium-risk toxic gas filtration strategies, high-risk oxygen supply and evacuation strategies, etc., with different strategies corresponding to different protection levels and control parameters.

[0113] The aforementioned target protection level refers to the protection response level determined from a set of preset protection strategies based on the risk level of toxic gas inhalation. It is mainly used to indicate the level of protection required by the smart mining helmet. The target protection level may include alert level, filtration level, oxygen supply level, and emergency evacuation level, etc.

[0114] The aforementioned mine helmet protection control strategy refers to the mine helmet end control scheme determined according to the target protection level, mainly used to control the smart mine helmet to perform corresponding safety protection actions. This strategy may include at least one of the following: filtration protection control parameters, oxygen supply control parameters, alarm prompt parameters, and evacuation prompt parameters.

[0115] The aforementioned filtration protection control parameters refer to the parameters used to control the smart mining helmet to enter the filtration protection state, and may include commands such as filtration channel opening commands, auxiliary air supply start commands, mask wearing reminder commands, or filtration path switching commands. The aforementioned oxygen supply control parameters refer to the parameters used to control the smart mining helmet to enter the oxygen supply state, and may include commands such as oxygen supply device start commands, oxygen supply flow rate parameters, or oxygen supply duration parameters.

[0116] The aforementioned alarm prompt parameters refer to the parameters used to control the smart mining helmet to output alarm prompt information, and may include alarm method, alarm intensity, alarm frequency, and alarm content. The aforementioned evacuation prompt parameters refer to the parameters used to control the smart mining helmet to output evacuation prompt information, and may include evacuation direction, evacuation path, target safe area, or risk avoidance unit.

[0117] In one possible embodiment, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can determine the corresponding target protection level from a preset set of protection strategies based on the toxic gas inhalation risk level, and generate a mine helmet protection control strategy according to the target protection level. When the mine helmet protection control strategy includes a toxic gas filtration protection control parameter, the platform can control the smart mine helmet to enter a toxic gas filtration protection state; when the strategy includes an oxygen supply control parameter, it can control the smart mine helmet to enter an oxygen supply state; when the strategy includes an alarm prompt parameter, it can control the smart mine helmet to output an alarm prompt message; when the strategy includes an evacuation prompt parameter, it can control the smart mine helmet to output an evacuation prompt message.

[0118] Through the above treatment, the protective actions of the smart mining helmet can be matched with the risk level of toxic gas inhalation of the target personnel, avoiding the problem that a single alarm cannot form effective protection in time, and improving the safety protection capability of mine personnel in toxic gas environments.

[0119] In one possible embodiment, when the risk level of toxic gas inhalation is low, the aforementioned deep underground chamber toxic gas monitoring and early warning management platform can control the smart mining helmet to output a mild alarm prompt; when the risk level of toxic gas inhalation is medium, it can control the smart mining helmet to enter the toxic gas filtering protection state and remind the target personnel to confirm that the mask is worn; when the risk level of toxic gas inhalation is high, it can control the smart mining helmet to enter the oxygen supply state, and output evacuation prompt information in combination with the location of the target risk unit, while sending the target personnel's location data, status data, and risk level information to the monitoring terminal.

[0120] By implementing tiered protection responses, the targeting and efficiency of early warning processing can be improved.

[0121] like Figure 2 As shown, this embodiment of the invention also provides a toxic gas monitoring and early warning management device 200 for deep underground chambers, which includes: The first acquisition module 201 is used to acquire gas monitoring data within the target area and the location and status data of the target personnel within the current time period; The first construction module 202 is used to construct a regional gas risk field corresponding to the target area based on the gas monitoring data. The regional gas risk field includes multiple risk units and the gas risk level corresponding to each risk unit. The first determining module 203 is used to determine the personnel exposure association area corresponding to the target personnel based on the location data and the status data; The first matching module 204 is used to map and match the personnel exposure associated area with the regional gas risk field to obtain the exposure matching result corresponding to the target personnel. The exposure matching result includes the target risk unit that matches the personnel exposure associated area and the exposure associated parameters of the target personnel relative to the target risk unit. The second determining module 205 is used to determine the toxic gas inhalation risk level of the target person based on the exposure matching results, the gas risk level and the status data; The first generation module 206 is used to generate a mine helmet protection control strategy based on the risk level of inhaling the toxic gas, and control the mine helmet to perform at least one of the following treatments according to the mine helmet protection control strategy: toxic gas filtration protection, oxygen supply, alarm prompts and evacuation prompts.

[0122] Optionally, the first acquisition module 201 described above is further used for: Obtain raw gas data collected by at least one gas collection node within the target area during the current time period. The raw gas data includes at least one of the following: gas type, gas concentration, collection time, and collection location. Based on the acquisition time and the acquisition location, the raw gas data is subjected to spatiotemporal marking processing to obtain gas monitoring data within the target area; The location data collected by the smart mining helmet during the current time period is obtained, and the location data of the target personnel during the current time period is determined based on the location data; The smart mining helmet acquires the target personnel status detection data collected during the current time period, and determines the target personnel status data during the current time period based on the target personnel status detection data.

[0123] Optionally, the first building module 202 described above is also used for: Based on the regional spatial information corresponding to the target area, the target area is divided into multiple risk units; Based on the monitoring location corresponding to the gas monitoring data, the gas monitoring data is matched to the corresponding risk unit; Based on the gas monitoring data corresponding to each risk unit, the gas risk characteristics corresponding to each risk unit are determined. The gas risk characteristics include at least one of gas concentration, gas concentration change rate and duration of continuous exceedance. Based on the gas risk characteristics and the preset gas risk determination rules, the gas risk level corresponding to each risk unit is determined; Based on the multiple risk units and the gas risk level corresponding to each risk unit, a regional gas risk field corresponding to the target area is generated.

[0124] Optionally, the first determining module 203 described above is further configured to: Based on the location data, determine the current location of the target person within the current time period; Based on the status data, determine the movement trend parameters and protection status parameters of the target person in the current time period; Based on the current location of the person and the movement trend parameters, determine the initial exposure associated area corresponding to the target person; Based on the protection status parameters, the initial exposure associated area is modified to obtain the personnel exposure associated area corresponding to the target personnel.

[0125] Optionally, the first matching module 204 described above is also used for: Determine the geographical location range of the personnel exposure-associated area within the target area; Based on the location range of the region, candidate risk units that have a spatial relationship with the personnel exposure associated area are determined from multiple risk units included in the regional gas risk field; Spatial overlay matching is performed on the personnel exposure associated region and the candidate risk unit to obtain the region matching parameters between the personnel exposure associated region and each of the candidate risk units; Based on the region matching parameters, target risk units that match the personnel exposure-related regions are determined from each of the candidate risk units; Based on the region matching parameters between the personnel exposure association region and the target risk unit, the exposure association parameters of the target personnel relative to the target risk unit are determined; Based on the target risk unit and the exposure association parameters, an exposure matching result corresponding to the target personnel is generated.

[0126] Optionally, the second determining module 205 described above is further configured to: Obtain the target risk unit and the exposure association parameters of the target person relative to the target risk unit from the exposure matching results; Based on the target risk unit, the gas risk level corresponding to the target risk unit is determined from the regional gas risk field; Based on the status data, determine the personnel risk correction parameters corresponding to the target personnel; Based on the gas risk level corresponding to the target risk unit, the exposure correlation parameters, and the personnel risk correction parameters, the toxic gas inhalation risk value corresponding to the target personnel is determined. Based on the preset risk level range to which the risk value of inhaling the toxic gas belongs, the risk level of inhaling the toxic gas corresponding to the target person is determined.

[0127] Optionally, the first generation module 206 described above is further configured to: Based on the risk level of inhaling the toxic gas, a target protection level corresponding to the risk level of inhaling the toxic gas is determined from a set of preset protection strategies; Based on the target protection level, the mine helmet protection control strategy is determined, and the mine helmet protection control strategy includes at least one of the following: toxic gas protection control parameters, oxygen supply control parameters, alarm prompt parameters, and evacuation prompt parameters; Based on the aforementioned filtration and protection control parameters, the smart mining helmet is controlled to enter the filtration and protection state; Based on the oxygen supply control parameters, the smart mining helmet is controlled to enter the oxygen supply state; Based on the alarm prompt parameters, the smart mining helmet is controlled to output alarm prompt information; Based on the evacuation prompt parameters, the smart mining helmet is controlled to output evacuation prompt information.

[0128] like Figure 3As shown, this embodiment of the invention also provides an electronic device 300, including a processor, which can execute any of the above-mentioned methods for monitoring and early warning management of toxic gases in deep underground chambers.

[0129] Specifically, it includes a processor 301 and a memory 302, as well as a computer program stored in the memory 302 and capable of running on the processor 301, which executes the method for monitoring, warning, and managing toxic gases in deep underground chambers, wherein: The processor 301 executes the calculator program for the monitoring and early warning management method of toxic gases in deep underground chambers, stored in the memory 302, and performs the following steps: Acquire gas monitoring data within the target area, as well as the location and status data of the target personnel during the current time period; Based on the gas monitoring data, a regional gas risk field corresponding to the target area is constructed. The regional gas risk field includes multiple risk units and the gas risk level corresponding to each risk unit. Based on the location data and the status data, determine the personnel exposure association area corresponding to the target personnel; The personnel exposure associated area is mapped and matched with the regional gas risk field to obtain the exposure matching result corresponding to the target personnel. The exposure matching result includes the target risk unit that matches the personnel exposure associated area and the exposure associated parameters of the target personnel relative to the target risk unit. Based on the exposure matching results, the gas risk level, and the status data, the toxic gas inhalation risk level corresponding to the target personnel is determined; Based on the risk level of inhaling the toxic gas, a mine helmet protection control strategy is generated, and the mine helmet is controlled to perform at least one of the following treatments according to the mine helmet protection control strategy: toxic gas filtration protection, oxygen supply, alarm prompts, and evacuation prompts.

[0130] Optionally, the processor 301 performs the acquisition of gas monitoring data within the target area and location and status data of the target personnel within the current time period, including: Obtain raw gas data collected by at least one gas collection node within the target area during the current time period. The raw gas data includes at least one of the following: gas type, gas concentration, collection time, and collection location. Based on the acquisition time and the acquisition location, the raw gas data is subjected to spatiotemporal marking processing to obtain gas monitoring data within the target area; The location data collected by the smart mining helmet during the current time period is obtained, and the location data of the target personnel during the current time period is determined based on the location data; The smart mining helmet acquires the target personnel status detection data collected during the current time period, and determines the target personnel status data during the current time period based on the target personnel status detection data.

[0131] Optionally, the processor 301 executes the step of constructing a regional gas risk field corresponding to the target area based on the gas monitoring data, including: Based on the regional spatial information corresponding to the target area, the target area is divided into multiple risk units; Based on the monitoring location corresponding to the gas monitoring data, the gas monitoring data is matched to the corresponding risk unit; Based on the gas monitoring data corresponding to each risk unit, the gas risk characteristics corresponding to each risk unit are determined. The gas risk characteristics include at least one of gas concentration, gas concentration change rate and duration of continuous exceedance. Based on the gas risk characteristics and the preset gas risk determination rules, the gas risk level corresponding to each risk unit is determined; Based on the multiple risk units and the gas risk level corresponding to each risk unit, a regional gas risk field corresponding to the target area is generated.

[0132] Optionally, the processor 301 executes the step of determining the personnel exposure association area corresponding to the target personnel based on the location data and the status data, including: Based on the location data, determine the current location of the target person within the current time period; Based on the status data, determine the movement trend parameters and protection status parameters of the target person in the current time period; Based on the current location of the person and the movement trend parameters, determine the initial exposure associated area corresponding to the target person; Based on the protection status parameters, the initial exposure associated area is modified to obtain the personnel exposure associated area corresponding to the target personnel.

[0133] Optionally, the processor 301 performs the mapping and matching of the personnel exposure-associated area with the regional gas risk field to obtain the exposure matching result corresponding to the target personnel, including: Determine the geographical location range of the personnel exposure-associated area within the target area; Based on the location range of the region, candidate risk units that have a spatial relationship with the personnel exposure associated area are determined from multiple risk units included in the regional gas risk field; Spatial overlay matching is performed on the personnel exposure associated region and the candidate risk unit to obtain the region matching parameters between the personnel exposure associated region and each of the candidate risk units; Based on the region matching parameters, target risk units that match the personnel exposure-related regions are determined from each of the candidate risk units; Based on the region matching parameters between the personnel exposure association region and the target risk unit, the exposure association parameters of the target personnel relative to the target risk unit are determined; Based on the target risk unit and the exposure association parameters, an exposure matching result corresponding to the target personnel is generated.

[0134] Optionally, the processor 301 performs the step of determining the toxic gas inhalation risk level of the target person based on the exposure matching result, the gas risk level, and the status data, including: Obtain the target risk unit and the exposure association parameters of the target person relative to the target risk unit from the exposure matching results; Based on the target risk unit, the gas risk level corresponding to the target risk unit is determined from the regional gas risk field; Based on the status data, determine the personnel risk correction parameters corresponding to the target personnel; Based on the gas risk level corresponding to the target risk unit, the exposure correlation parameters, and the personnel risk correction parameters, the toxic gas inhalation risk value corresponding to the target personnel is determined. Based on the preset risk level range to which the risk value of inhaling the toxic gas belongs, the risk level of inhaling the toxic gas corresponding to the target person is determined.

[0135] Optionally, the processor 301 executes the generation of a mine helmet protection control strategy based on the toxic gas inhalation risk level, and controls the mine helmet to perform at least one of the following processes according to the mine helmet protection control strategy: toxic gas filtration protection, oxygen supply, alarm prompts, and evacuation prompts, including: Based on the risk level of inhaling the toxic gas, a target protection level corresponding to the risk level of inhaling the toxic gas is determined from a set of preset protection strategies; Based on the target protection level, the mine helmet protection control strategy is determined, and the mine helmet protection control strategy includes at least one of the following: toxic gas protection control parameters, oxygen supply control parameters, alarm prompt parameters, and evacuation prompt parameters; Based on the aforementioned filtration and protection control parameters, the smart mining helmet is controlled to enter the filtration and protection state; Based on the oxygen supply control parameters, the smart mining helmet is controlled to enter the oxygen supply state; Based on the alarm prompt parameters, the smart mining helmet is controlled to output alarm prompt information; Based on the evacuation prompt parameters, the smart mining helmet is controlled to output evacuation prompt information.

[0136] This invention also provides a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the various processes of the deep underground chamber toxic gas monitoring and early warning management method or the application-side deep underground chamber toxic gas monitoring and early warning management method provided in this invention, and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0137] Those skilled in the art will understand that implementing all or part of the processes in the above embodiments can be done by a computer program instructing related hardware, and can be stored in a computer-readable storage medium. When executed, the program can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0138] The above description discloses only preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. Therefore, equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for monitoring and early warning management of toxic gases in deep underground chambers, characterized in that, Applications in smart mining helmets include: Acquire gas monitoring data within the target area, as well as the location and status data of the target personnel during the current time period; Based on the gas monitoring data, a regional gas risk field corresponding to the target area is constructed. The regional gas risk field includes multiple risk units and the gas risk level corresponding to each risk unit. Based on the location data and the status data, determine the personnel exposure association area corresponding to the target personnel; The personnel exposure associated area is mapped and matched with the regional gas risk field to obtain the exposure matching result corresponding to the target personnel. The exposure matching result includes the target risk unit that matches the personnel exposure associated area and the exposure associated parameters of the target personnel relative to the target risk unit. Based on the exposure matching results, the gas risk level, and the status data, the toxic gas inhalation risk level corresponding to the target personnel is determined; Based on the risk level of inhaling the toxic gas, a mine helmet protection control strategy is generated, and the mine helmet is controlled to perform at least one of the following treatments according to the mine helmet protection control strategy: toxic gas filtration protection, oxygen supply, alarm prompts, and evacuation prompts. The step of determining the personnel exposure association area corresponding to the target personnel based on the location data and the status data includes: Based on the location data, determine the current location of the target person within the current time period; Based on the status data, determine the movement trend parameters and protection status parameters of the target person in the current time period; Based on the current location of the person and the movement trend parameters, determine the initial exposure associated area corresponding to the target person; Based on the protection status parameters, the initial exposure associated area is corrected to obtain the personnel exposure associated area corresponding to the target personnel. The step of mapping and matching the personnel exposure-associated area with the regional gas risk field to obtain the exposure matching result corresponding to the target personnel includes: Determine the geographical location range of the personnel exposure-associated area within the target area; Based on the location range of the region, candidate risk units that have a spatial relationship with the personnel exposure associated area are determined from multiple risk units included in the regional gas risk field; Spatial overlay matching is performed on the personnel exposure associated region and the candidate risk unit to obtain the region matching parameters between the personnel exposure associated region and each of the candidate risk units; Based on the region matching parameters, target risk units that match the personnel exposure-related regions are determined from each of the candidate risk units; Based on the region matching parameters between the personnel exposure association region and the target risk unit, the exposure association parameters of the target personnel relative to the target risk unit are determined; Based on the target risk unit and the exposure association parameters, an exposure matching result corresponding to the target personnel is generated; The process involves generating a mine helmet protection control strategy based on the risk level of toxic gas inhalation, and controlling the mine helmet to perform at least one of the following actions according to the mine helmet protection control strategy: toxic gas filtration protection, oxygen supply, alarm prompts, and evacuation prompts. Based on the risk level of inhaling the toxic gas, a target protection level corresponding to the risk level of inhaling the toxic gas is determined from a set of preset protection strategies; Based on the target protection level, the mine helmet protection control strategy is determined, and the mine helmet protection control strategy includes at least one of the following: toxic gas protection control parameters, oxygen supply control parameters, alarm prompt parameters, and evacuation prompt parameters; Based on the aforementioned filtration and protection control parameters, the smart mining helmet is controlled to enter the filtration and protection state; Based on the oxygen supply control parameters, the smart mining helmet is controlled to enter the oxygen supply state; Based on the alarm prompt parameters, the smart mining helmet is controlled to output alarm prompt information; Based on the evacuation prompt parameters, the smart mining helmet is controlled to output evacuation prompt information.

2. The method for monitoring and early warning management of toxic gases in deep underground chambers as described in claim 1, characterized in that, The acquisition of gas monitoring data within the target area, as well as the location and status data of the target personnel within the current time period, includes: Obtain raw gas data collected by at least one gas collection node within the target area during the current time period. The raw gas data includes at least one of the following: gas type, gas concentration, collection time, and collection location. Based on the acquisition time and the acquisition location, the raw gas data is subjected to spatiotemporal marking processing to obtain gas monitoring data within the target area; The location data collected by the smart mining helmet during the current time period is obtained, and the location data of the target personnel during the current time period is determined based on the location data; The smart mining helmet acquires the target personnel status detection data collected during the current time period, and determines the target personnel status data during the current time period based on the target personnel status detection data.

3. The method for monitoring and early warning management of toxic gases in deep underground chambers as described in claim 1, characterized in that, The step of constructing a regional gas risk field corresponding to the target area based on the gas monitoring data includes: Based on the regional spatial information corresponding to the target area, the target area is divided into multiple risk units; Based on the monitoring location corresponding to the gas monitoring data, the gas monitoring data is matched to the corresponding risk unit; Based on the gas monitoring data corresponding to each risk unit, the gas risk characteristics corresponding to each risk unit are determined. The gas risk characteristics include at least one of gas concentration, gas concentration change rate and duration of continuous exceedance. Based on the gas risk characteristics and the preset gas risk determination rules, the gas risk level corresponding to each risk unit is determined; Based on the multiple risk units and the gas risk level corresponding to each risk unit, a regional gas risk field corresponding to the target area is generated.

4. The method for monitoring and early warning management of toxic gases in deep underground chambers as described in claim 1, characterized in that, The step of determining the toxic gas inhalation risk level of the target personnel based on the exposure matching results, the gas risk level, and the status data includes: Obtain the target risk unit and the exposure association parameters of the target person relative to the target risk unit from the exposure matching results; Based on the target risk unit, the gas risk level corresponding to the target risk unit is determined from the regional gas risk field; Based on the status data, determine the personnel risk correction parameters corresponding to the target personnel; Based on the gas risk level corresponding to the target risk unit, the exposure correlation parameters, and the personnel risk correction parameters, the toxic gas inhalation risk value corresponding to the target personnel is determined. Based on the preset risk level range to which the risk value of inhaling the toxic gas belongs, the risk level of inhaling the toxic gas corresponding to the target person is determined.

5. A monitoring and early warning management device for toxic gases in deep underground chambers, characterized in that, The method for monitoring and early warning management of toxic gases in deep underground chambers as described in claim 1 includes: The first acquisition module is used to acquire gas monitoring data within the target area, as well as the location and status data of the target personnel during the current time period; The first construction module is used to construct a regional gas risk field corresponding to the target area based on the gas monitoring data. The regional gas risk field includes multiple risk units and the gas risk level corresponding to each risk unit. The first determining module is used to determine the personnel exposure association area corresponding to the target personnel based on the location data and the status data; The first matching module is used to map and match the personnel exposure associated area with the regional gas risk field to obtain the exposure matching result corresponding to the target personnel. The exposure matching result includes the target risk unit that matches the personnel exposure associated area and the exposure associated parameters of the target personnel relative to the target risk unit. The second determining module is used to determine the toxic gas inhalation risk level of the target person based on the exposure matching results, the gas risk level, and the status data. The first generation module is used to generate a mine helmet protection control strategy based on the risk level of inhaling the toxic gas, and control the mine helmet to perform at least one of the following treatments according to the mine helmet protection control strategy: toxic gas filtration protection, oxygen supply, alarm prompts, and evacuation prompts.

6. An electronic device, characterized in that, include: The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps in the method for monitoring and early warning of toxic gases in deep underground chambers as described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the deep underground chamber toxic gas monitoring and early warning management method as described in any one of claims 1 to 4.

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