Mining intrinsically-safe LED illuminating lamp strip with alarm function

Abstract

The invention relates to the technical field of mining explosion-proof lighting appliances, in particular to a mining intrinsically safe LED lighting lamp strip with an alarm function, which comprises a lighting mechanism, an environment detection mechanism, an analysis decision mechanism and a cooperative control mechanism, the analysis decision-making mechanism calculates a first concentration index based on the first dust concentration data to generate an alarm demand, cooperates with the control mechanism to correspondingly control the dust sampler to increase the sampling frequency, and controls the illumination mechanism to work according to an initial alarm parameter; and the analysis decision mechanism is used for calculating a second concentration index based on second dust concentration data acquired at a higher frequency to generate a regulation and control instruction, and determining a regulation amplitude based on a mapping relation between the first concentration index and a preset concentration index and a mapping relation between the second concentration index and the preset concentration index. According to the invention, risk early warning and self-adaptive dynamic adjustment of alarm intensity are realized by using the illumination lamp strip, and the intelligent level of mining safety illumination is improved.

Description

Technical Field

[0001] This invention relates to the field of explosion-proof lighting equipment for mining, and in particular to an intrinsically safe LED lighting strip for mining with an alarm function. Background Technology

[0002] In the mining industry, especially in underground working environments, lighting equipment is a fundamental infrastructure that ensures safe production and efficient operation. Because underground environments often contain flammable and explosive substances such as methane and coal dust, and are accompanied by harsh conditions such as humidity and dust, the safety performance requirements for lighting equipment are extremely stringent.

[0003] Chinese Patent Publication No. CN117308002A discloses a typical explosion-proof and intrinsically safe LED lighting strip for mining. This technical solution mainly consists of a power supply cavity providing intrinsically safe power, an FPC flexible LED strip as the light-emitting element, and a plug for encapsulation. To achieve a high level of safety protection, its structural design emphasizes physical isolation and sealing. The power supply cavity is electrically connected to the internal wiring board and drive module via through-wall terminals; the incoming and outgoing cables use multi-layer sealing components, including cable sealing rings, baffles, washers, and compression nuts, to achieve explosion-proof and waterproofing; sealing rings are provided between the cavity and the back cover, and between the cavity and the plug; the entire outer surface of the LED strip is wrapped with a silicone sleeve, and the end is sealed with a silicone plug. During installation, the LED strip is fixed to the tunnel wall using a mounting bracket. After power is connected, the FPC flexible LED strip can provide continuous long-distance lighting for the tunnel or working face. However, the above solution still has the following problems: The safety performance of existing technical solutions relies heavily on the physical safety of their own structure. These solutions lack environmental sensing units, making it impossible to monitor key safety parameters in the work environment in real time and identify potential hazards. Furthermore, they lack data analysis and logical judgment capabilities, and there is no linkage between their lighting status and actual environmental risks. In addition, when environmental safety parameters are abnormal, the light strip cannot emit audible and visual alarm signals, nor can it dynamically adjust the lighting mode according to the risk level to achieve warning or guidance functions.

[0004] Therefore, existing mining lighting strips are insufficient in terms of environmental perception, intelligent judgment, and dynamic alarm, making it difficult to meet the needs of modern mines for intelligent safety protection. Summary of the Invention

[0005] Therefore, the present invention provides an intrinsically safe LED lighting strip for mining with alarm function, in order to overcome the problems of rigid response mechanism and insufficient early warning function caused by the lack of environmental sensing system in existing lighting strips.

[0006] To achieve the above objectives, the present invention provides an intrinsically safe LED lighting strip for mining with alarm function, comprising: A lighting mechanism that provides illumination and responds to control strategies and regulatory commands to adjust the brightness and flicker frequency of the lighting. An environmental monitoring agency, comprising a dust sampler for collecting dust concentration data based on an initial sampling frequency, wherein the dust concentration data includes PM2.5 dust concentration data and PM10 dust concentration data; A collaborative control mechanism is used to generate the control strategy in response to an alarm request, wherein the control strategy includes controlling the dust sampler to increase the initial sampling frequency and controlling the lighting mechanism to operate at an initial alarm brightness and an initial lighting flashing frequency; An analysis and decision-making body is used to determine whether to generate the alarm requirement based on the first concentration index determined by the environmental monitoring body within the alarm time window and the comparison result of the first concentration index and the preset concentration index, and to determine the second concentration index within the adjustment time window and generate the control instruction based on the comparison result of the second concentration index and the first concentration index, wherein the control instruction includes adjusting the initial alarm brightness and the initial lighting flashing frequency. The analysis and decision-making mechanism is further configured to determine the initial alarm brightness and the initial lighting flicker frequency based on a first exponential difference, and to adjust the adjustment time window and the initial sampling frequency based on the first exponential difference, wherein the first exponential difference is the difference between the first concentration index and the preset concentration index; the analysis and decision-making mechanism is further configured to determine the increase magnitude corresponding to the initial alarm brightness and the initial lighting flicker frequency based on a first adjustment difference, and the increase magnitude is positively correlated with the first adjustment difference, wherein the first adjustment difference is the difference between the second exponential difference and the first exponential difference, and the second exponential difference is the difference between the second concentration index and the preset concentration index; The analysis and decision-making body is also used to determine the reduction magnitude corresponding to the initial alarm brightness and the initial lighting flicker frequency based on the second control difference, and the reduction magnitude is positively correlated with the second control difference, wherein the second control difference is the difference between the first exponential difference and the second exponential difference.

[0007] Furthermore, the analysis and decision-making mechanism is also used to calculate several first dust concentration slopes corresponding to the first dust concentration data based on several sub-time periods within the alarm time window; The analysis and decision-making body also calculates the first concentration index by weighting several first dust concentration slopes, wherein several weighting coefficients correspond to several sub-time periods within the alarm time window that increase in ascending order.

[0008] Furthermore, the analysis and decision-making body is also used to determine that an alarm is needed based on the first concentration index being greater than or equal to the preset concentration index, and the collaborative control body is used to generate the control strategy; The analysis and decision-making body further determines that no alarm is needed based on the first concentration index being less than the preset concentration index, and controls the lighting mechanism to maintain the current basic lighting brightness.

[0009] Furthermore, the collaborative control mechanism is also used to determine the initial alarm brightness and the initial lighting flicker frequency based on the comparison result of the first exponential difference and the corresponding grading threshold, wherein the grading threshold includes several different first exponential difference thresholds.

[0010] Furthermore, the analysis and decision-making mechanism is also used to calculate several second dust concentration slopes corresponding to the second dust concentration data based on several sub-time periods within the adjustment time window; The analysis and decision-making body also calculates a second trend index based on several second dust concentration slopes, wherein several weighting coefficients correspond to several sub-time periods within the adjustment time window that increase in ascending order. The analysis and decision-making body further determines the second concentration index based on the second trend index and the correlation index, wherein the correlation index is determined by calculating the degree of correlation of changes in dust concentration data collected after the dust sampler increases the initial sampling frequency.

[0011] Furthermore, the analysis and decision-making body is also used to determine, based on the comparison result that the second concentration index is greater than the first concentration index, a first control command to increase the initial alarm brightness and the initial lighting flicker frequency; The analysis and decision-making body also generates a second control command to reduce the initial alarm brightness and the initial lighting flicker frequency based on the comparison result that the second concentration index is less than the first concentration index; The analysis and decision-making body also generates a third control command to maintain the initial alarm brightness and the initial lighting flicker frequency based on the comparison result that the second concentration index is equal to the first concentration index.

[0012] Furthermore, the analysis and decision-making body also determines the adjustment time window based on the comparison result of the first index difference and the corresponding preset time adjustment threshold, and the adjustment time window is positively correlated with the first index difference.

[0013] Furthermore, the analysis and decision-making body also determines the initial sampling frequency based on the comparison result of the first index difference and the corresponding preset concentration adjustment threshold, and the initial sampling frequency is positively correlated with the first index difference.

[0014] Furthermore, the lighting mechanism also includes a dust protection unit equipped with a dust cover and a drive assembly; The dust protection unit is used to activate the dust cover in response to the alarm request.

[0015] Compared with existing technologies, the beneficial effects of the intrinsically safe LED lighting strip for mining with alarm function of the present invention are as follows: An environmental monitoring agency senses dust concentration data in real time based on a preset sampling frequency. An analysis and decision-making agency calculates a first concentration index based on the dust concentration data to identify the concentration increase trend, thereby determining whether an alarm needs to be generated. This allows the analysis and decision-making agency to identify risks and issue warnings before the dust concentration reaches a dangerous absolute value. Simultaneously, the difference between the first concentration index and the preset concentration index is calculated, and the time window and initial sampling frequency are optimized and adjusted based on this difference. This improves the timeliness and accuracy of the warning system in different risk scenarios and is beneficial for intrinsically safe mining equipment. It achieves long-term stable operation under power constraints; it also calculates a second concentration index based on dust concentration data collected within the optimized adjustment time window, integrating multi-source information on comprehensive trends and correlations, and compares it with the first concentration index. Based on the comparison results, it generates corresponding control commands to determine in real time whether the risk is aggravated, mitigated, or stabilized; at the same time, it calculates the difference between the second concentration index and the preset concentration index, compares the difference between the first and second indices to determine the absolute level of risk, and determines the adjustment range of the initial alarm brightness and initial lighting flicker frequency based on the comparison results. In coordination with the control mechanism, it can respond to control commands and realize intelligent adjustment and energy efficiency optimization of the light strip lighting brightness and frequency.

[0016] Furthermore, the present invention determines a first concentration index by comprehensively calculating the changing trend of dust concentration data, determines the difference between the first concentration index and a preset concentration index, and dynamically determines the brightness and flicker frequency of the initial lighting of the lighting mechanism based on the difference between the first concentration index and the preset concentration index, thereby achieving a preliminary match between alarm intensity and risk level.

[0017] Furthermore, this invention calculates a second concentration index using dust concentration data collected at a higher frequency after the initial alarm is activated. This second index is then compared with a first concentration index and a preset concentration index to obtain a first control difference and a second control difference. Based on these first and second control differences, the adjustment direction and amplitude of the initial alarm brightness and initial lighting flashing frequency are determined. This allows the system to adjust its response strategy in real time according to the actual development of the risk situation, while reducing false alarms.

[0018] Furthermore, this invention links the dustproof protection unit with control commands, ensuring that the lighting strip's light path is not obstructed by dust during high-risk alarms, guaranteeing the effective transmission of warning light signals. Simultaneously, the automatic opening and closing mechanism reduces maintenance requirements and improves the long-term operational reliability of the lighting strip in high-dust environments. The dustproof design structurally enhances the practicality and durability of this invention. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of a mine-use intrinsically safe LED lighting strip with alarm function in an embodiment of the present invention; Figure 2 This is a schematic diagram of the intrinsically safe LED lighting strip for mining with alarm function in an embodiment of the present invention; Figure 3 The flowchart of the intrinsically safe LED lighting strip for mining with alarm function of the present invention is shown below; Figure 4 This is the logic decision diagram of the analysis and decision-making mechanism of the intrinsically safe LED lighting strip for mining with alarm function of the present invention. In the picture: 1. LED light strip; 2. Cable; 3. Intrinsically safe power plug; 4. Dust cover. Detailed Implementation

[0020] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0021] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0022] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0023] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0024] Please see Figure 1 As shown, it is a schematic diagram of a mine-use intrinsically safe LED lighting strip with alarm function in an embodiment of the present invention.

[0025] This invention provides an intrinsically safe LED lighting strip for fixed lighting and alarm applications in coal mine roadways and other working faces, comprising: A lighting mechanism that provides illumination and responds to control strategies and regulatory commands to adjust the brightness and flicker frequency of the lighting. An environmental monitoring agency, comprising a dust sampler for collecting dust concentration data based on an initial sampling frequency, wherein the dust concentration data includes PM2.5 dust concentration data and PM10 dust concentration data; A collaborative control mechanism is used to generate a control strategy in response to an alarm request, wherein the control strategy includes controlling the dust sampler to increase the initial sampling frequency and controlling the lighting mechanism to operate at the initial alarm brightness and initial lighting flashing frequency. The analysis and decision-making body is used to determine whether to generate an alarm requirement based on the first concentration index determined by the environmental monitoring agency within the alarm time window and the comparison result between the first concentration index and the preset concentration index; and to determine the second concentration index within the adjustment time window and generate control instructions based on the comparison result between the second concentration index and the first concentration index. The control instructions include adjusting the initial alarm brightness and the initial lighting flashing frequency. The analysis and decision-making body also uses the first index difference to determine the initial alarm brightness and initial lighting flicker frequency, and to adjust the adjustment time window and initial sampling frequency based on the first index difference, wherein the first index difference is the difference between the first concentration index and the preset concentration index; the analysis and decision-making body also uses the first control difference to determine the increase in the initial alarm brightness and initial lighting flicker frequency, and the increase is positively correlated with the first control difference, wherein the first control difference is the difference between the second index difference and the first index difference, and the second index difference is the difference between the second concentration index and the preset concentration index; The analysis and decision-making body also uses the second control difference to determine the reduction magnitude corresponding to the initial alarm brightness and the initial lighting flicker frequency, and the reduction magnitude is positively correlated with the second control difference, wherein the second control difference is the difference between the first exponential difference and the second exponential difference.

[0026] Please see Figure 2 As shown, it is a structural schematic diagram of an intrinsically safe LED lighting strip for mining with alarm function in an embodiment of the present invention.

[0027] In this embodiment, the lighting mechanism includes an LED light strip 1 as a light-emitting element, a cable 2 for powering the LED light strip 1, an intrinsically safe power plug 3 for connecting to the power supply, and a dustproof protection unit for responding to alarm requirements.

[0028] In this embodiment, the LED light strip 1 is connected to an intrinsically safe power source via cable 2 and intrinsically safe power plug 3, providing basic lighting for the work area and emitting a visual warning signal by adjusting its brightness and flashing frequency when an alarm is triggered. Preferably, cable 2 is a lightweight rubber-sheathed flexible cable for coal mines, and the intrinsically safe power plug 3 is an aviation plug. The dust protection unit specifically includes a dust cover 4 and a drive assembly (not shown in the figure) for opening and closing the dust cover 4. The dust cover 4 is located in front of the lighting path of the LED light strip 1 to protect the optical surface of the LED light strip 1 from dust contamination in non-alarm or low-risk states, and is opened by the drive assembly when an alarm request is received to ensure effective transmission of the warning light signal in high dust concentration environments.

[0029] In one specific embodiment, the environmental monitoring agency includes at least one intrinsically safe laser dust sensor for real-time acquisition of PM2.5 and PM10 dust concentration data in the working environment. The intrinsically safe laser dust sensor uses the principle of light scattering for measurement, acquiring dust concentration data in real-time at an initial sampling frequency within an alarm time window. For example, the alarm time window can be set to 3 minutes to promptly reflect a continuous and stable upward trend in dust concentration; the initial sampling frequency can be set to 0.2 Hz to balance power consumption and basic monitoring requirements.

[0030] Please see Figure 3 and Figure 4 As shown, Figure 3 The flowchart of the intrinsically safe LED lighting strip for mining with alarm function of the present invention is shown below; Figure 4 This is the logic decision diagram of the analysis and decision-making mechanism of the intrinsically safe LED lighting strip for mining with alarm function of the present invention.

[0031] Specifically, the analysis and decision-making body continuously acquires the first dust concentration data collected by the dust sampler at the initial sampling frequency, calculates the first concentration index based on the first dust concentration data, and determines whether to generate an alarm based on the comparison result of the first concentration index and the preset concentration index. If the first concentration index is less than the preset concentration index, it indicates that the current dust concentration cannot cause harm, so it is determined that no alarm is needed. If the first concentration index is greater than or equal to the preset concentration index, it indicates that the dust concentration at the current stage is on an upward trend, which will cause safety hazards, so it is determined that an alarm is needed.

[0032] The analysis and decision-making body calculates several first dust concentration slopes within the alarm time window and performs weighted fusion based on the corresponding first dust concentration slopes to calculate the first concentration index. The several first dust concentration slopes are calculated based on the dust concentration change rate corresponding to different sub-time periods, and the weighting coefficient of the first dust concentration slope corresponding to each sub-time period increases sequentially with time to enhance the system's sensitivity to the most recent operating conditions. The formula for the first concentration index CI1 is: CI1=(Σ(wi·ki) / Σwi) / Kr1, where ki represents the average rate of change of dust concentration data in the i-th sub-time period within the alarm time window; wi represents the weight coefficient of the rate of change ki in the i-th sub-time period within the alarm time window, and is determined by linearly increasing weight based on the timeliness requirements of risk warning. For example, the vector corresponding to the weight coefficient wi can be set to [1,2,3,4,5,6]; ki is the average rate of change of dust concentration in the i-th sub-time period, with the unit being µg / m³·min; Kr1 is the first reference rate of change determined based on the statistical analysis of typical rates of change in the historical safety data of the target mine or the requirements of safety regulations. The specific method is as follows: from the historical database of the mine safety monitoring system, all records of normal operation without any safety abnormalities are selected. The dust concentration data corresponding to the time period of the common event is used to calculate the average rate of change of dust concentration within each time window for statistical distribution analysis. The 95th percentile is selected as the reference rate of change. For example, Kr1 can be set to 10µg / m³·min. The first concentration index CI1 is a trend index normalized by the first reference rate of change Kr1. It represents the overall trend and intensity of the dust concentration data within the alarm time window. According to the analysis of mine safety data, a continuous and accelerated increase in dust concentration usually corresponds to the risk precursors such as dust accumulation, equipment abnormality, and ventilation failure. If the value of the first concentration index CI1 is larger, it indicates that the dust concentration data shows a rapid and obvious upward trend in the trend change closer to the current moment within the window. If the value of the first concentration index CI1 is smaller or negative, it indicates that the trend is flat or declining.

[0033] For an alarm time window of 3 minutes, for example, the duration of each sub-time period can be set to 30 seconds to divide the alarm time window into 6 sub-time periods, thereby obtaining sufficiently accurate trend change information without excessively increasing the computational burden; if the first dust concentration slope vector calculated for each sub-segment is [0.5,2.0,3.5,5.0,6.5,8.0]µg / m³·min, then the first concentration index CI1 = 0.55 is finally calculated.

[0034] Specifically, the analysis and decision-making body compares the calculated first concentration index CI1 with the pre-calibrated preset concentration index CIth. If the first concentration index CI1 is less than the preset concentration index CIth, it is determined that the current working environment has no risk trend and no alarm requirement is generated. The collaborative control body controls the lighting mechanism to operate in the normal lighting mode, providing only basic lighting functions and basic lighting brightness, and controls the dust sampler to collect data at the initial sampling frequency. The basic lighting brightness is determined based on the minimum illuminance standard required for the work area to achieve energy saving while meeting basic visibility requirements. For example, it can be set to 300 lx. If the first concentration index CI1 is greater than or equal to the preset concentration index CIth, it is determined that there is an upward trend in dust concentration risk, and an alarm demand is generated. The collaborative control mechanism responds to the alarm demand by generating a control strategy to control the lighting mechanism to operate at the initial alarm brightness and initial lighting flashing frequency. The preset concentration index CIth is determined based on statistical analysis of normal operating data and risk precursor data obtained from long-term monitoring of the mine, ensuring effective differentiation between safe and risky states. The specific method is as follows: From the historical production database, dust concentration data corresponding to all normal operation periods without safety events are screened, and their first concentration index CI is calculated and statistically compiled into a normal index set. Dust concentration data in safety warning events are screened, and their CI is calculated and statistically compiled into a risk index set. The distribution of the two datasets is analyzed using a machine learning classification algorithm. The 95th percentile CI value is determined as the preset concentration index by comprehensively statistically analyzing percentile and classification boundary results. For example, CIth = 0.5 can be set.

[0035] Furthermore, the analysis and decision-making body calculates the difference between the first concentration index CI1 and the preset concentration index CIth based on the control strategy, and records it as the first index difference ΔC1; and determines the corresponding initial alarm brightness and initial lighting flicker frequency by comparing the first index difference ΔC1 with the corresponding grading threshold. The grading threshold includes several first index difference thresholds ΔC1i. The first index difference threshold is determined based on the statistical distribution of the first index difference in historical risk events. Specifically, from historical data, all events that trigger effective warnings are extracted, the distribution of the first index difference ΔC1 at the time of triggering is recorded and statistically analyzed, and the 33rd percentile and 66th percentile are calculated as references for the dividing points between low risk and medium risk, and medium risk and high risk, respectively. For example, ΔC11=0.3 and ΔC12=0.7 can be set.

[0036] Simultaneously, the collaborative control mechanism determines to increase the initial sampling frequency of the dust sampler based on the grading threshold, and determines the corresponding adjustment time window based on the grading threshold to calculate the second concentration index. The grading threshold is determined based on historical risk data, aiming to establish the most effective correspondence between risk level and perceived intensity, ensuring that the initial warning intensity and subsequent accurate monitoring intensity match the risk level. The risk level is divided based on the difference in the first index ΔC and the corresponding grading threshold. For example, if 0≤ΔC1<0.3, the current risk level is determined to be low risk; if 0.3≤ΔC1<0.7, it is determined to be medium risk; and if ΔC1≥0.7, it is determined to be high risk.

[0037] Based on the corresponding risk level and the principles of system response efficiency and resource optimization, the initial alarm brightness and initial lighting flicker frequency are determined. The specific method is as follows: In a simulated mine environment, the impact of light signals with different brightness levels and different flicker frequencies on the operator's perception time, identification accuracy, and subjective sense of urgency score is tested. The minimum brightness increment and minimum flicker frequency that enable the vast majority of testers to effectively perceive and correctly identify the risk level within a specified time are determined. Combined with the upper limit of the equipment's optical performance and power consumption limits, the parameters corresponding to each risk level are finally determined.

[0038] The initial sampling frequency correction and adjustment time window are determined based on the data density and analysis timeliness required to effectively capture dynamic changes in risk at different risk levels in historical data. High-risk levels require faster situation update speeds and more refined data, thus necessitating higher sampling frequencies and shorter analysis cycles; low-risk levels, on the other hand, can use lower frequencies and longer cycles to optimize system energy consumption and computational load, while ensuring monitoring effectiveness. Specifically, from the historical database of the mine safety monitoring system, all event records classified as low, medium, and high risk are selected, and dust concentration data for a period prior to these events are extracted. For each risk level, the distribution of data sampling frequency and analysis time window used under effective early warning conditions is statistically analyzed, and the most frequently occurring value is set as the sampling frequency and adjustment time window corresponding to that risk level.

[0039] For example, the initial alarm brightness corresponding to low risk can be set to 150% of the basic lighting brightness, i.e., 450 lx, with the initial lighting flashing frequency set to 1 Hz, the sampling frequency set to 1 Hz, and the adjustment time window set to 180 seconds; the initial alarm brightness corresponding to medium risk can be set to 200% of the basic lighting brightness, i.e., 600 lx, with the initial lighting flashing frequency set to 2 Hz, the sampling frequency set to 2 Hz, and the adjustment time window set to 120 seconds; the initial alarm brightness corresponding to high risk can be set to 250% of the basic lighting brightness, i.e., 750 lx or the maximum safe brightness value allowed by the device, with the initial lighting flashing frequency set to 4 Hz, the sampling frequency set to 4 Hz, and the adjustment time window set to 60 seconds.

[0040] If CI1 = 0.55 is calculated, which is greater than the preset concentration index CIth = 0.5, the analysis and decision-making body determines that there is a risk trend that requires an alarm. The first index difference ΔC1 = 0.05 is calculated. Based on the classification threshold, the current risk level is determined to be a low-risk trend. The collaborative control body controls the lighting mechanism to operate with an initial alarm brightness of 450 lx and an initial lighting flicker frequency of 1 Hz based on the current risk level and the mapping relationship. At the same time, the dust sampling frequency is increased to 1 Hz, and the adjustment sampling frequency is set to 1 Hz with an adjustment time window of 180 seconds.

[0041] In this embodiment, when the dust sensor increases the initial sampling frequency in response to the control strategy, the analysis and decision-making body calculates several second dust concentration slopes within the adjustment time window and performs weighted fusion based on the corresponding second dust concentration slopes to calculate a dimensionless second trend index. The several second dust concentration slopes are calculated based on the dust concentration change rate corresponding to different sub-time periods, and the weighting coefficient of the second dust concentration slope corresponding to each sub-time period increases sequentially with time.

[0042] The analysis and decision-making body also used Pearson correlation coefficient analysis to analyze the PM2.5 dust concentration data and PM10 dust concentration data collected after increasing the initial sampling frequency of the dust sampler. The correlation index ρ was calculated to determine the degree of correlation between their changes within the adjustment time window. The correlation index ρ is used to determine whether the changes in the two types of dust concentration data originate from the same source, thereby assessing the consistency of risk signals. A high positive correlation indicates dust release and enhances the confidence of risk assessment. A high positive correlation indicates that PM2.5 and PM10 rise rapidly and synchronously, which signifies the characteristics of systemic dust release (such as coal mining machine cutting, blasting, and abnormal ventilation), indicating that the risk is global and persistent. Low or negative correlations indicate that the increase in dust concentration may be caused by local disturbances (such as dust raised by people walking on the ground, which mainly affects PM10) or transient interference from the sensor, and the actual risk is relatively low.

[0043] The analysis and decision-making body uses a weighted fusion method to calculate the second concentration index CI2 by combining the second trend index K2 and the correlation index ρ. The weight coefficients corresponding to the second trend index K2 and the correlation index ρ are based on statistical analysis or pre-calibration of the historical working condition data and risk event data of the target mine.

[0044] In this embodiment, the formula for calculating the second concentration index CI2 is: CI2=α·K2+β·ρ, where K2 is the trend index (dimensionless) normalized by the second reference change rate Kr2, K2=(Σ(wq·kq) / Σwq) / Kr2, where kq represents the average change rate of dust concentration data in the qth sub-time period within the adjustment time window; wq represents the weighting coefficient of the change rate kq in the qth sub-time period within the adjustment time window; K2 characterizes the overall trend and intensity of dust concentration data within the current adjustment time window. The value of Kr2 is determined adaptably based on different operating stages of the system to improve the sensitivity and accuracy of trend assessment. After triggering an alarm and entering the high-frequency monitoring stage, to more accurately capture instantaneous risk dynamics, K2 is calculated based on the increased sampling frequency within the same time window. Following the same calibration method as Kr1, the distribution of dust concentration change rate is statistically analyzed using historical high-frequency sampling data under normal operating conditions, and the 95th percentile is selected to determine the Kr2 value. For example, Kr2 can be set to 5.0 µg / m³·min. ρ characterizes the PM2.5 and PM10 concentration data within the adjustment time window. The degree of correlation between changes; α and β are preset weighting coefficients based on experimental calibration. The specific method is as follows: through historical data, calculate the corresponding K2 and ρ for all working conditions, use the feature importance assessment method to quantify the contribution of K2 and ρ to various working conditions, and normalize the contribution of the two features obtained from the analysis, and set them as weighting coefficients α and β. For example, α can be set to 0.7 and β to 0.3. For example, if the second dust concentration slope vector calculated for each sub-segment is [0.6, 1.2, 1.8, 2.4, 3.0, 3.6] µg / m³·min, the vector corresponding to the weighting coefficient can be set to [1, 2, 3, 4, 5, 6], then the second trend index K2 = 0.48.

[0045] For example, if the average PM2.5 concentration is 75 µg / m³, the average PM10 concentration is 150 µg / m³, the standard deviation of PM2.5 concentration is 18 µg / m³, the standard deviation of PM10 concentration is 36 µg / m³, and the covariance is 486 (µg / m³)², then the correlation index ρ = 0.75 can be obtained, indicating a systemic dust release risk signal with the simultaneous increase of the concentrations of the two types of dust. Therefore, the decision-making body calculates CI² = 0.561 using a weighted fusion method.

[0046] Furthermore, the analysis and decision-making body compares the second concentration index CI2 with the first concentration index CI1 and generates control instructions based on the comparison results. If the second concentration index CI2 is greater than the first concentration index CI1, it indicates that the risk trend is intensifying. The analysis and decision-making body then generates a first control instruction, and the coordination control body responds by increasing the initial alarm brightness and initial lighting flashing frequency to meet the warning intensity upgrade requirement. If the second concentration index CI2 is less than the first concentration index CI1, it indicates that the risk trend is being contained or is being mitigated. The analysis and decision-making body generates a second control instruction, and the coordination control body responds by decreasing the initial alarm brightness and initial lighting flashing frequency to avoid excessive warnings causing sensory interference. If the second concentration index CI2 is equal to the first concentration index CI1, it indicates that the risk trend remains stable. The analysis and decision-making body generates a third control instruction, and the coordination control body responds by maintaining the current initial alarm brightness and initial lighting flashing frequency.

[0047] In this embodiment, the analysis and decision-making body determines the adjustment range of the initial alarm brightness and the initial lighting flicker frequency based on the comparison results of the first exponential difference ΔC1 and the second exponential difference ΔC2, wherein, If the analysis and decision-making body generates the first control instruction, the first control difference = ΔC2 - ΔC1 ​​is calculated based on the difference between the second index difference ΔC2 and the first index difference ΔC1. Then, the increase of the first control instruction is determined based on the first control difference. The larger the value of ΔC2 - ΔC1, the more it indicates that the current warning intensity is lower than the corresponding risk level or the risk trend is increasing. The required alarm brightness and lighting flashing frequency are greater. Therefore, the increase of the first control instruction is positively correlated with the first control difference.

[0048] If the analysis and decision-making body generates a second control instruction, the second control difference = ΔC1 - ΔC2 is calculated based on the difference between the first index difference ΔC1 and the second index difference ΔC2. Then, the reduction range of the second control instruction is determined based on the second control difference. The larger the value of ΔC1 - ΔC2, the higher the current warning intensity is than the corresponding risk level or the risk trend is decreasing. The lower the required alarm brightness and lighting flashing frequency, the more positively correlated the reduction range of the second control instruction is with the second control difference.

[0049] The adjustment coefficients corresponding to the first and second control commands can be calculated using the following formulas: Adjustment coefficient S = ksi·|ΔC2-ΔC1|, where ksi is a preset adjustment weight coefficient set by experimental calibration or experience under the i-th control command based on the principle of prioritizing early warning for mine safety equipment. This coefficient is used to control the sensitivity of the control. Specifically, the system operation is simulated by backtesting historical data, with the goal of minimizing the false alarm rate and the missed alarm rate. At the same time, the stability of the control process is considered, and an optimization algorithm is used to find a set of weight coefficients that optimize the simulation effect. For example, for the first control command, the preset adjustment weight coefficient can be set to ks1=0.5, and for the second control command, the preset adjustment weight coefficient can be set to ks2=0.3.

[0050] In one specific embodiment, if the first concentration index CI1 is 0.55 and the preset concentration index CIth is 0.5, then ΔC1 = 0.05, the initial lighting brightness and initial alarm brightness are 450 lx, and the initial lighting flicker frequency is 1 Hz. If the second concentration index CI2 is 0.561, then ΔC2 = 0.061, |ΔC2 - ΔC1| = 0.011. Since CI2 > CI1, a first control command is generated, and the corresponding adjustment coefficient S is determined to be 0.0055.

[0051] The system linearly maps the adjustment coefficient S to the lighting brightness adjustment ratio. Assuming the mapping ratio is determined based on experience, the specific method is as follows: analyze the distribution of the adjustment coefficient S calculated from a large amount of historical data, determine its typical range of variation, and map the typical maximum value of S to the upper limit of the adjustment range, thereby determining the corresponding ratio coefficient. For example, the lighting ratio coefficient can be set to 200, and the frequency ratio coefficient can be set to 10. Then the final lighting brightness is determined to be 451.1 lx, and the lighting flicker frequency adjustment is 0.195 Hz, that is, the final lighting flicker frequency is determined to be 1.055 Hz.

[0052] In another embodiment, if CI1 = 0.85 is calculated based on the detection data, it is determined to be a medium-risk trend. If CI2 = 0.6706 < CI1 is calculated based on the detection data, a second control command is generated. The second control difference is calculated to be ΔC1 - ΔC2 = 0.1794. Thus, the adjustment coefficient S ≈ 0.0538 can be obtained. The final lighting brightness is 589.24 lx, and the final lighting flicker frequency is 1.462 Hz.

[0053] In another embodiment, if CI2 = 0.524 < CI1 = 0.55 is calculated based on the detection data, a second control command is generated, and the second control difference is calculated to be 0.026. Thus, the adjustment coefficient S = 0.0078 can be obtained, and the final illumination brightness is 448.44 lx, and the final illumination flicker frequency is 0.922 Hz.

[0054] In another embodiment, if CI2 = 0.510 < CI1 = 0.55 is calculated based on the detection data, a second control command is generated, and the second control difference is calculated to be 0.040. Thus, the adjustment coefficient S = 0.012 can be obtained, and the final illumination brightness is 447.6 lx, and the final illumination flicker frequency is 0.88 Hz.

[0055] In one specific embodiment, the dust protection unit is controlled to open or adjust the angle of the dust cover 4 in response to alarm requirements, driving the dust cover 4 to open to a predetermined safe angle or dynamically adjusting its opening and closing angle according to instructions. At the same time, the coordination control mechanism controls the lighting mechanism in real time and accurately according to the final determined control instructions, dynamically adjusting its lighting brightness and lighting flashing frequency, thereby ensuring that the warning light signal is effectively transmitted while realizing active physical protection linked to the alarm status.

[0056] Specifically, when the collaborative control mechanism responds to an alarm request, the synchronous control drive component opens the dust cover to a preset safety angle to ensure that the warning light signal is not blocked by the dust cover. The preset safety angle is determined based on ensuring that the warning light signal can be effectively transmitted and the reasonable mechanical stroke of the drive component. For example, the preset safety angle can be set to 180°.

[0057] All technologies not mentioned in the above embodiments are existing technologies. It is understood that no specific limitation is made to any preset parameter or critical parameter in the embodiments of the present invention, and the above values ​​are not limited thereto. Those skilled in the art can adjust the preset parameters or critical parameters accordingly based on actual needs, analysis of historical data, or equipment usage.

[0058] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A mine-used intrinsically safe LED lighting strip with alarm function, characterized in that, The application comprises: a lighting mechanism, which is used to illuminate and adjust the illumination brightness and the illumination flicker frequency in response to a control strategy and a regulation instruction; an environment detection mechanism, which comprises a dust sampler used to collect dust concentration data based on an initial sampling frequency, wherein the dust concentration data comprises PM2.5 dust concentration data and PM10 dust concentration data; a cooperative control mechanism, which is used to generate the control strategy in response to an alarm demand, wherein the control strategy comprises controlling the dust sampler to increase the initial sampling frequency and controlling the lighting mechanism to work at an initial alarm brightness and an initial illumination flicker frequency; an analysis decision mechanism, which is used to determine a first concentration index within an alarm time window based on the environment detection mechanism and determine whether to generate the alarm demand based on a comparison result of the first concentration index and a preset concentration index, and determine a second concentration index within a regulation time window and generate the regulation instruction based on a comparison result of the second concentration index and the first concentration index, wherein the regulation instruction comprises adjusting the initial alarm brightness and the initial illumination flicker frequency; the analysis decision mechanism is further used to determine the initial alarm brightness and the initial illumination flicker frequency based on a first index difference and adjust the regulation time window and the initial sampling frequency based on the first index difference, wherein the first index difference is a difference between the first concentration index and the preset concentration index; the analysis decision mechanism is further used to determine an increasing amplitude corresponding to the initial alarm brightness and the initial illumination flicker frequency based on a first regulation difference, and the increasing amplitude is positively correlated with the first regulation difference, wherein the first regulation difference is a difference between a second index difference and the first index difference, and the second index difference is a difference between the second concentration index and the preset concentration index; the analysis decision mechanism is further used to determine a decreasing amplitude corresponding to the initial alarm brightness and the initial illumination flicker frequency based on a second regulation difference, and the decreasing amplitude is positively correlated with the second regulation difference, wherein the second regulation difference is a difference between the first index difference and the second index difference.

2. The alarm function mine-used intrinsically safe LED lighting lamp strip according to claim 1, characterized in that, the analysis decision mechanism is further used to calculate a plurality of first dust concentration slopes corresponding to a plurality of first dust concentration data based on a plurality of sub-time periods within the alarm time window; the analysis decision mechanism is further used to obtain the first concentration index based on a weighted calculation of the plurality of first dust concentration slopes, wherein a plurality of weighting coefficients corresponding to the plurality of sub-time periods are sequentially increased in ascending order.

3. The alarm function mine-used intrinsically safe LED lighting lamp strip according to claim 2, characterized in that, the analysis decision mechanism is further used to determine that an alarm is needed based on the first concentration index being greater than or equal to the preset concentration index, and the cooperative control mechanism is used to generate the control strategy; the analysis decision mechanism is further used to determine that no alarm is needed based on the first concentration index being less than the preset concentration index, and control the lighting mechanism to maintain a current basic illumination brightness.

4. The alarm function mine-used intrinsically safe LED lighting lamp strip according to claim 3, characterized in that, the cooperative control mechanism is further used to determine the initial alarm brightness and the initial illumination flicker frequency based on a comparison result of the first index difference and a corresponding hierarchical threshold, wherein the hierarchical threshold comprises a plurality of different first index difference thresholds.

5. The alarm function mine intrinsically safe LED lighting lamp strip of claim 1, characterized in that, The analysis decision mechanism is further configured to calculate a plurality of second dust concentration slopes corresponding to the second dust concentration data based on a plurality of sub-time periods within the adjustment time window; The analysis decision mechanism is further configured to calculate a second trend index based on the plurality of second dust concentration slopes with a plurality of weighting coefficients corresponding to the plurality of sub-time periods within the adjustment time window in ascending order; The analysis decision mechanism is further configured to determine the second concentration index based on the second trend index and a correlation index, wherein the correlation index is determined based on the dust concentration data collected by the dust sampler after increasing the initial sampling frequency.

6. The alarm function mine-used intrinsically safe LED lighting lamp strip according to claim 5, characterized in that, The analysis decision mechanism is further configured to determine the first control instruction of increasing the initial alarm brightness and the initial lighting flicker frequency based on a comparison result that the second concentration index is greater than the first concentration index; The analysis decision mechanism is further configured to generate the second control instruction of decreasing the initial alarm brightness and the initial lighting flicker frequency based on a comparison result that the second concentration index is less than the first concentration index; The analysis decision mechanism is further configured to generate the third control instruction of maintaining the initial alarm brightness and the initial lighting flicker frequency based on a comparison result that the second concentration index is equal to the first concentration index.

7. The alarm function mine intrinsically safe LED lighting strip according to claim 1, characterized in that, The analysis decision mechanism is further configured to determine the adjustment time window based on a comparison result of the first index difference value and a corresponding preset time adjustment threshold, and the adjustment time window is positively correlated with the first index difference value.

8. The alarm function mine-used intrinsically safe LED lighting lamp strip according to claim 7, characterized in that, The analysis decision mechanism is further configured to determine the initial sampling frequency based on a comparison result of the first index difference value and a corresponding preset concentration adjustment threshold, and the initial sampling frequency is positively correlated with the first index difference value.

9. The alarm function mine intrinsically safe LED lighting lamp strip of claim 1, characterized in that, The lighting mechanism further comprises a dust protection unit provided with a dust cover and a driving assembly; The dust protection unit is configured to drive the dust cover to open in response to the alarm demand.

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