Intelligent lighting control method based on signal induction

Abstract

The invention relates to the technical field of lighting control systems, in particular to an intelligent lighting control method based on signal induction, which comprises the following steps: independently controlling emergency lighting lamps in a recovery area and recording the emergency lighting lamps as independent lamps, and adopting wireless communication between the independent lamps, determining a dangerous point location in the stoping area based on the abnormal working state and the abnormal communication state of the independent lamp, and after the dangerous point location is determined, marking the corresponding stoping area as a target area, and marking other stoping areas as non-target areas; when the independent lamp belongs to the target area, marking the independent lamp with the operator nearby as a target lamp, screening out a preferred route, and constructing an independent lamp lightening set based on the preferred route, the independent lamp lightening set comprising the target lamp and a plurality of independent lamps around the target lamp; and controlling the independent lamps in the independent lamp lightening set to be lightened, and adjusting the guide direction and the signal light color based on the optimal route.

Description

Technical Field

[0001] The present invention relates to the technical field of lighting control systems, and in particular to an intelligent lighting control method based on signal induction. Background Art

[0002] Underground emergency lighting fixtures are lighting equipment designed specifically for underground working environments such as mines. They are mainly used to provide lighting for workers when the normal lighting system fails (such as when the normal lighting system fails due to dangerous situations such as roof collapse and gas explosion) and to guide escaping personnel to escape along a fixed route through light, ensuring that personnel can be evacuated safely.

[0003] Emergency lighting fixtures in the existing technology usually point in a fixed escape direction. However, when a gas explosion or roof collapse occurs in a mine tunnel, the fixed escape route is usually blocked. At this time, continuing to guide the escapees along the fixed route may pose a threat to the lives and health of the escapees. There is an urgent need for a lighting control method that can flexibly plan safe escape routes and provide light guidance. Summary of the Invention

[0004] In response to the above-mentioned shortcomings of the existing technology, the present invention provides an intelligent lighting control method based on signal induction, which can effectively solve the problem that the emergency lighting control method in the existing technology is difficult to flexibly plan safe escape routes and provide lighting guidance.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0006] The present invention provides a smart lighting control method based on signal induction, which comprises at least the following steps:

[0007] Step 1: Construct a 3D route map inside the mine and divide the line segments in the 3D route map into multiple regional sections;

[0008] Step 2: An escape trunk line is preset, and the connection node between the mining area and the escape trunk line is recorded as the escape node. Multiple analysis points are set in the mining area, and multiple escape nodes with a distance less than a preset threshold are screened for each analysis point and recorded as the first target node;

[0009] Step 3: Independently control the emergency lighting fixtures in the mining area and record them as independent fixtures. Wireless communication is used between independent fixtures. Dangerous points are determined in the mining area based on abnormal working and communication status of the independent fixtures.

[0010] Step 4: After the dangerous point is determined, the corresponding mining area is recorded as the target area, and the other mining areas are recorded as non-target areas;

[0011] When an independent lamp belongs to the target area, the independent lamp with a worker nearby is recorded as the target lamp. Based on the passage routes between the target lamp and the corresponding multiple first target nodes, the preferred route is screened. If there is no preferred route among the passage routes, the shortest route to the nearest chamber is selected as the preferred route.

[0012] Based on the preferred route, an independent lamp lighting set is constructed. The independent lamp lighting set includes the target lamp and multiple independent lamps around it. The independent lamps in the independent lamp lighting set are controlled to light up, and the guidance direction and signal light color are adjusted based on the preferred route.

[0013] Furthermore, the regional road segment division process is as follows:

[0014] The line segments in the three-dimensional roadmap are recorded as channel segments;

[0015] Mark multiple equally spaced measurement points on the channel segment and obtain the net width, net height, slope, and ground flatness of the passage corresponding to each measurement point on the channel segment. The ground flatness is calculated based on the depth of road depressions, height of ridges, average height of gravel accumulation, and collapsed area.

[0016] The measurement points are divided into multiple regional road segment sets. Each regional road segment set corresponds to a regional road segment. The division requirements include:

[0017] The measurement points in the regional road segment set are continuous;

[0018] There are preset clear width change thresholds, clear height change thresholds, slope change thresholds and ground flatness change thresholds. The clear width range, clear height range, slope range and ground flatness range corresponding to all measurement points in each regional road section set are less than the corresponding clear width change thresholds, clear height change thresholds, slope change thresholds and ground flatness change thresholds.

[0019] Furthermore, the ground flatness calculation process is as follows:

[0020] A random evaluation area is defined within the area corresponding to the measurement point. The evaluation area is a preset area shape. The maximum road depression depth, maximum road bulge height, average gravel accumulation height, and collapsed area ratio in the evaluation area are measured and normalized, and recorded as the maximum road depression depth. Maximum bulge height Substitute the average height of gravel accumulation H1 and the proportion of collapsed area S1 into the formula Calculation is performed to obtain the ground flatness MPI, where λ1, λ2, and λ3 are all preset weight coefficients.

[0021] Furthermore, the first target node acquisition process is as follows:

[0022] A distance threshold is preset. The shortest route between the analysis point and each escape node is obtained and the route distance is calculated and recorded as the direct distance. There is a direct distance between the analysis point and each escape node. Multiple escape nodes with a direct distance less than the distance threshold are screened out and recorded as the first target nodes. The first target nodes are composed of the first target set.

[0023] Furthermore, the process of determining the dangerous points is as follows:

[0024] Mark all the installation points corresponding to the independent lamps in the mining area and record them as independent points;

[0025] Mark the independent points with abnormal working status as hollow dots, and mark the independent points with normal working status as solid dots. Draw connecting lines between any two adjacent dots. When two adjacent independent lamps communicate normally, the connecting line is a solid line. When two adjacent independent lamps cannot communicate, the connecting line is a dotted line.

[0026] The hollow circles in the mining area and the points corresponding to the end points of the dotted line segment are recorded as dangerous points.

[0027] Furthermore, the working status determination process is as follows:

[0028] Obtain a line graph of the acceleration change over time of an independent lamp. Preset the observation duration. Construct an observation interval with the current time as the right endpoint and the observation duration as the interval length. Obtain the portion of the acceleration change line within the observation interval as the first observation line. Calculate the area of the closed figure between the first observation line and the time axis to obtain the total acceleration change value.

[0029] Obtain a line graph of the air pressure change over time around the independent lamp, obtain the portion of the air pressure change line within the observation interval as a second observation line, and calculate the area of the closed figure enclosed by the second observation line and the time axis to obtain the total value of the air pressure change;

[0030] Obtain the gas concentration value and air suspended particulate matter index around the independent lamp, perform normalization processing, and then sum them to obtain the air anomaly value;

[0031] The total value of acceleration change, the total value of air pressure change and the air abnormality value are multiplied by the corresponding preset coefficients and summed to obtain the abnormality judgment value. When the abnormality judgment value is greater than the preset abnormality judgment threshold, the corresponding independent lamp working state is judged to be abnormal.

[0032] Furthermore, when an independent lamp belongs to a non-target area, the independent lamp control process is as follows:

[0033] The controlled independent lamp is recorded as the controlled lamp, the nearest analysis point of the controlled lamp is recorded as the nearest analysis point, the first target set A corresponding to the nearest analysis point is obtained, and the shortest path length between the nearest analysis point and each first target node in the first target set A is recorded as line n , where n is the serial number corresponding to the first target node;

[0034] Extract the shortest route length line n The minimum value in Will The corresponding shortest route is recorded as the quick evacuation route, the guiding direction of the control lamp is adjusted to point to the direction of the quick evacuation route, and the light color of the control lamp is adjusted to green.

[0035] Furthermore, the process of constructing an independent lighting set is as follows:

[0036] Get the evacuation direction corresponding to the preferred route, and record the independent lamps on the preferred route as light f , f is the serial number of the independent lamp, light1 represents the target lamp, and the independent lamp lighting set [light1,…,light 1+g ], g represents the number of independent lamps that are lit, and the calculation formula is in:

[0037] g′ is a preset constant value;

[0038] PM 10 is the PM10 index near the target lamp;

[0039] Δd is the installation interval of independent lamps;

[0040] Indicates not less than The smallest integer.

[0041] Furthermore, the process of determining the preferred route among the available routes is as follows:

[0042] S0: Get the nearest analysis point of the target lamp as the target analysis point, get the first target set B corresponding to the target analysis point, and set each first target node in the first target set B as Y n , get the target analysis point and any first target node Y n The multiple routes between n,m , where m is the serial number of the route

[0043] S1: When the route line′ n,m When passing through a dangerous point, the route will be eliminated;

[0044] S2: Calculate the travel time of each route, and remove the route if the travel time is less than or equal to the effective working time of the compressed oxygen self-rescuer;

[0045] S3: Obtain the route with the shortest travel time and record it as the preferred route.

[0046] Furthermore, the route line′ n,m The calculation process of the travel time is as follows:

[0047] will be located on the pass route line′ n,m The regional road sections on the q , q is the route line′ n,m The serial number of the upper regional section;

[0048] Get regional road segment L q The slope is recorded as PD, and the slope influence value β is set PD , when the regional road section is downhill relative to the forward direction, let the slope influence value be β PD =k1*PD, when the regional road section is uphill relative to the forward direction, let the slope impact value be β PD =k2*PD, where k1 and k2 are preset constant coefficients, and k2>k1;

[0049] The number of dangerous points is recorded as the scale assessment value Z, and the regional road section L is obtained. q The path distance between the nearest dangerous point is recorded as ΔD, and the dangerous situation impact value β is set D , obtain the return air direction in the target area, when the area section L q When located on the upwind side of the dangerous point, the danger impact value When the area section L q When located on the leeward side of the dangerous point, the danger impact value Where ΔT is the time difference between the dangerous point determination time and the current time, e is a natural constant, k3 and k4 are both preset constant coefficients, and k4>k3;

[0050] Get the ground flatness in the target area, combine the slope impact value and the hazard impact value, and multiply them by the corresponding weight coefficient to get the regional road section L. q The corresponding traffic impact coefficient α q ;

[0051] Get the road section L of each area q Corresponding road section length Substitute into the formula Calculate and get the route line′ n,m The corresponding travel time T all , where v is the preset walking speed.

[0052] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0053] 1. The present invention can not only perform zoning control on the emergency lighting fixtures in the mine, thereby realizing on-demand lighting and on-demand adjustment, but also independently control the emergency lighting fixtures in the mining area where dangerous situations occur. During the control process, it can analyze the preferred evacuation route of personnel in real time, and adjust the guiding direction and signal light color of the emergency lighting fixtures according to the preferred route, thereby providing more flexible and safe guidance for personnel evacuation when dangerous situations occur. Compared with the emergency lighting fixtures with fixed guiding directions in the prior art, it is more suitable for emergency lighting scenarios in mines.

[0054] 2. The present invention divides the escape route into multiple sections based on different road conditions, which can calculate the travel time in a more detailed manner. On this basis, the travel impact coefficient is independently calculated for each section. The travel impact coefficient of each section depends on the road conditions, the impact of dangerous situations and the slope within the section. The travel time calculated in combination with the section length corresponding to each section is more in line with the actual time required for people to pass through the route, so as to facilitate the assessment of the feasibility and priority of the route, and help to determine a more reasonable escape route. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort.

[0056] Figure 1 A diagram showing the steps of the method of the present invention. DETAILED DESCRIPTION

[0057] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0058] The present invention will be further described below with reference to the embodiments.

[0059] See Figure 1 , a smart lighting control method based on signal induction, comprising at least the following steps:

[0060] Step 1: Construct a 3D roadmap based on the internal mining engineering plan of the mine. Divide the line segments in the 3D roadmap into multiple regional sections based on the clear width, clear height, slope, and ground flatness of the roadway, where:

[0061] Constructing a three-dimensional rectangular coordinate system, and drawing a three-dimensional route map in the three-dimensional rectangular coordinate system based on the plan view of the mining engineering inside the mine. The three-dimensional route map includes multiple line segments representing the passageways inside the mine, which are recorded as channel segments, and multiple squares representing the safety chambers inside the mine, which are recorded as chamber squares. The multiple channel segments and chamber squares are connected to form a three-dimensional route map to represent the internal building construction map of the mine;

[0062] The 3D route map allows users to visually see the distribution of safety chambers within the mine and the connections between various passages, which helps plan escape and rescue routes.

[0063] The channel segment is divided into multiple regional sections based on the road conditions corresponding to the channel segment. Each section corresponds to a road condition. The corresponding traffic coefficient within the range of each channel segment is calculated as follows:

[0064] Mark multiple equally spaced measurement points on the channel segment and obtain the net width, net height, slope, and ground flatness of the passage corresponding to each measurement point on the channel segment. The net width, net height, and slope are directly collected, and the ground flatness is calculated based on the depth of road depressions, height of ridges, average height of gravel accumulation, and collapsed area. Divide each measurement point on the channel segment into multiple regional road segment sets;

[0065] Each regional road segment set contains multiple consecutive measurement points (there are no other measurement points between two adjacent measurement points), and preset clear width change thresholds, clear height change thresholds, slope change thresholds, and ground flatness change thresholds. If the clear width range, clear height range, slope range, and ground flatness range corresponding to all measurement points in each regional road segment set are less than the corresponding clear width change thresholds, clear height change thresholds, slope change thresholds, and ground flatness change thresholds, it means that the road surface condition changes corresponding to each measurement point in the same regional road segment set are within a certain range. The partial channel line segments corresponding to the same regional road segment set are recorded as one regional road segment.

[0066] The process of obtaining ground flatness is as follows:

[0067] A random evaluation area is defined within the area corresponding to the measurement point. The evaluation area is a preset area shape (a square with a side length of 1 in a specific embodiment). The maximum road depression depth, maximum road protrusion height, average gravel accumulation height, and collapsed area ratio within the evaluation area are measured and normalized, and recorded as the maximum road depression depth. Maximum bulge height Substitute the average height of gravel accumulation H1 and the proportion of collapsed area S1 into the formula Calculation is performed to obtain the ground flatness MPI, where λ1, λ2, and λ3 are all preset weight coefficients.

[0068] It should be noted that the net width, net height and slope of the channel are measured using a multi-function total station, the maximum depth of the depression and the maximum height of the protrusion are measured by measuring the longitudinal section extreme difference with a laser rangefinder, the average height of the gravel accumulation is measured by multi-point random sampling, and the proportion of the collapsed area is obtained by three-dimensional laser scanning or geological radar imaging analysis. The above measurement methods and measuring instruments are all existing technologies and will not be elaborated here.

[0069] Step 2: Divide the 3D roadmap into development area, preparation area, and mining area, which correspond to the development roadway, preparation roadway, and mining roadway in the mine production system respectively. Mark the development area and preparation area as the main road area. The emergency lighting fixtures in the main road area are powered by a centralized battery and centrally controlled by the emergency lighting control system. Mark the preset escape trunk line in the main road area, and record the connection node between the mining area and the escape trunk line as the escape node (escaping from the coal mining face requires entering the escape trunk line through any escape node);

[0070] It should be noted that the escape trunk refers to the primary escape route established during the initial planning of the mine's production system. Escape from any location on the coal face requires traversing this trunk, typically from downhill transport to the main track tunnel to the main shaft / auxiliary shaft to the surface. Generally, escapees must use this route to reach the surface. If an accident occurs within the mine and the escape trunk is clear, evacuees can follow this pre-set escape trunk. If the escape trunk is blocked, evacuees must seek shelter in the nearest safe chamber. Zoned control allows for on-demand lighting and dimming.

[0071] Multiple analysis points are evenly set on the channel line segment within the mining area, and analysis is performed based on the route between each analysis point and the escape node, where:

[0072] A distance threshold is preset, and the shortest route between the analysis point and each escape node is obtained and the route distance is calculated and recorded as the direct distance. There is a direct distance between the analysis point and each escape node. Multiple escape nodes with a direct distance less than the distance threshold are screened out and recorded as the first target nodes. The first target nodes are formed into the first target set;

[0073] It should be noted that the distance threshold is equal to the effective working time of the compressed oxygen self-rescuer multiplied by the average human walking speed. The multiple first target nodes are obtained by screening the direct distance through the distance threshold, thereby preliminarily screening out the escape nodes that can be reached from the analysis point (when the compressed oxygen self-rescuer is available).

[0074] Step 3: Emergency lighting fixtures in the mining area are powered by their own batteries and independently controlled. Emergency lighting fixtures in the mining area are referred to as independent fixtures. In other words, each independent fixture is controlled by an independent control system. Independent fixtures include LED lights (for lighting), red, green, and yellow signal lights (for warnings), and multi-directional arrow guide lights (for guidance).

[0075] It should be noted that the red light signal can be used as a danger signal for the area or channel, or as a no-entry signal. When danger occurs, it reminds workers not to move in this direction. The green light signal can be used as a safety signal for the area or channel, or as a safe direction guidance signal. Workers use the signal to guide the direction and quickly enter the safe area. The yellow light signal can be used as a danger signal for the area or channel. When danger occurs, it reminds workers to quickly leave the area.

[0076] Wireless communication technology (such as ZigBee technology) is used to communicate data between adjacent independent lamps and between independent lamps and the underground monitoring system. Independent lamps are installed in sequence along the passageways in the mining area. The distance between adjacent independent lamps is less than or equal to the preset installation interval threshold:

[0077] Furthermore, the independent lamps are uniformly recorded as P i , mark all independent lamps P in the mining area i The corresponding installation point is recorded as an independent point, i is the serial number of the independent lamp, i = 1, 2, ..., j, j is the total number of independent lamps, and the normal working status of the independent lamp is determined by data transmission between adjacent independent lamps, where:

[0078] Preset state test sequence {a i}, the independent lamp assigns the status test sequence based on the current working status. The assignment process is as follows:

[0079] When independent lamps P i When the working state is normal, the state test sequence {a i a in} i Assigned value is 1, otherwise, when the independent lamp P i When the working state is abnormal, the state test sequence {a i a in} i Assign a value of 0;

[0080] Based on the state test sequence, the independent points corresponding to the assigned value of 0 are marked as hollow dots, and the independent points corresponding to the assigned value of 1 are marked as solid dots. A connecting line segment is drawn between any two adjacent dots. When two adjacent independent lamps communicate normally, the connecting line segment uses a solid line. When two adjacent independent lamps cannot communicate, the connecting line segment uses a dotted line.

[0081] The working status determination process is as follows:

[0082] Obtain a line graph of the acceleration of the independent lamp (measured by a three-axis acceleration sensor installed inside the independent lamp) over time. An observation duration is preset. An observation interval is constructed with the current time as the right endpoint and the observation duration as the interval length. The portion of the acceleration change line within the observation interval is recorded as the first observation line. The area of the closed figure enclosed by the first observation line and the time axis is calculated to obtain the total acceleration change value.

[0083] Obtain a line graph of the air pressure around the independent lamp (measured by an air pressure monitoring instrument set near the independent lamp) over time, obtain the portion of the air pressure change line within the observation interval as the second observation line, and calculate the area of the closed figure enclosed by the second observation line and the time axis to obtain the total value of the air pressure change;

[0084] Obtain the gas concentration value and air suspended particulate matter index around the independent lamp, perform normalization processing, and then sum them to obtain the air anomaly value;

[0085] The total value of acceleration change, the total value of air pressure change and the air abnormality value are multiplied by the corresponding preset coefficients and summed to obtain the abnormality judgment value. When the abnormality judgment value is greater than the preset abnormality judgment threshold, the corresponding independent lamp working state is judged to be abnormal.

[0086] It should be noted that the determination of abnormal working status depends on the degree to which the independent lamp is affected by the outside world within a certain time range, rather than the circuit operation status of the independent lamp itself. In other words, the abnormal working status referred to here is different from the abnormal working status in the prior art.

[0087] The hollow circles in the mining area and the points corresponding to the end points of the dotted line segment are recorded as dangerous points.

[0088] It should be noted that when the working state of an independent lamp is abnormal or the communication with the adjacent independent lamps is abnormal, it usually means that a gas explosion or roof collapse accident occurs around the independent lamp, which means that there is a dangerous situation around the independent lamp, and the corresponding point is marked as a dangerous point. Compared with the existing technology, it can make full use of the characteristics of a large number of independent lamps distributed in the mine, combined with the abnormal data of the independent lamps, to determine the location of the dangerous situation. When it is combined with the underground monitoring and surveillance system in the existing technology, they can corroborate each other and improve the accuracy of reporting the location of the dangerous situation.

[0089] Step 4: After the dangerous point is determined, the corresponding mining area is recorded as the target area, and the other mining areas are recorded as non-target areas. Each independent lamp in the non-target area is independently regulated. The regulation process is as follows:

[0090] The controlled independent lamp is recorded as the controlled lamp, the nearest analysis point of the controlled lamp is recorded as the nearest analysis point, the first target set A corresponding to the nearest analysis point is obtained, and the shortest path length between the nearest analysis point and each first target node in the first target set A is recorded as line n , where n is the number of the first target node, extract the shortest path length line n The minimum value in Will The corresponding shortest route is recorded as the best (evacuation) route, the guiding direction of the control lamp is adjusted to point to the direction of the quick evacuation route, and the light color of the control lamp is adjusted to green.

[0091] The non-target area usually corresponds to other parallel mining tunnels, that is, mining tunnels where no dangerous situations have occurred. The personnel in this area should evacuate as soon as possible along the nearest and shortest evacuation route. By controlling the guidance direction and light color signals of the lamps in the non-target area, the workers in the non-target area can evacuate safely and quickly along the evacuation route.

[0092] The process of controlling independent lamps in the target area is as follows:

[0093] The initial lighting duration is preset. When the dangerous point is determined, all independent lamps in the target area are controlled to light up and remain lit within the initial lighting duration. When the initial lighting duration is exceeded, the independent lamps are extinguished, so that the independent lamps can automatically turn off after a certain period of time, reducing the power loss of the independent lamps;

[0094] Workers are equipped with safety helmets or work clothes with RFID tags. RFID readers are installed inside independent lamps, which can identify nearby workers. When an independent lamp identifies an evacuee, it generates a regional control signal to control the lighting of the independent lamp and independent lamps within a certain range. This makes the independent lamps within a certain range on the evacuee's evacuation route light up, while other independent lamps are extinguished. This further reduces the power loss of the independent lamps while ensuring visibility for the evacuee.

[0095] The process of adjusting individual lamps based on regional control signals is as follows:

[0096] The independent lamp that generates the regional control signal is recorded as the target lamp, the nearest analysis point of the target lamp is obtained and recorded as the target analysis point, the first target set B corresponding to the target analysis point is obtained, and each first target node in the first target set B is set as Y n , get the target analysis point and any first target node Y n The multiple routes between n,m , where m is the serial number of the passable route, and the preferred route among the passable routes is screened out. When there is no preferred route among the passable routes, a guide chamber signal is generated, and the closest chamber is obtained as the target chamber, and the shortest route to the target chamber is taken as the preferred route;

[0097] It should be noted that the safety chambers in the mine are distributed relatively evenly. When the suitable escape route for the escapees is blocked by the dangerous situation and other escape routes take too long, retreating to the safety chamber is the ideal choice for the escapees to ensure their life, health and safety.

[0098] Get the evacuation direction corresponding to the preferred route, and record the independent lamps on the preferred route as light f , f is the serial number of the independent lamp, light1 represents the target lamp, and the independent lamp lighting set [light1,…,light 1+g ], g represents the number of independent lamps that are lit, and the calculation formula is Light up the multiple independent lamps corresponding to the independent lamp lighting set, and turn off the independent lamps in the non-independent lamp lighting set (in specific implementation, the target lamp changes with the position of the escaping person. When the escaping person passes by the target lamp, that is, when the next target lamp is determined, the previous target lamp will be excluded from the independent lamp lighting set and will be turned off). Adjust the guiding direction of the independent lamps in the independent lamp lighting set to point in the evacuation direction and adjust the light color to green. Adjust the light color of the independent lamps in the direction opposite to the evacuation direction to red, where:

[0099] g′ is a preset constant value (in a specific embodiment, the value is 0.8*10^6);

[0100] PM 10 The PM10 (particulate matter with a diameter less than or equal to 10 microns in the air) index near the target lamp;

[0101] Δd is the installation interval of independent lamps;

[0102] Indicates not less than The smallest integer.

[0103] The number of independent lamps that are lit is set based on the spatial visibility near the target lamp, so that it can be flexibly adjusted according to changes in air visibility. While ensuring that the escapees can see the environment in the tunnel, the number of lit lamps can be minimized, and the number of emergency lighting lamps that are lit outside the visual range of the escapees can be reduced, thereby reducing the ineffective working time of the emergency lighting lamps and improving the power utilization efficiency of the emergency lighting lamps.

[0104] Specifically, the process of determining the preferred route among the available routes is as follows:

[0105] S1: When the route line′ n,m When passing through a dangerous point, the route will be eliminated;

[0106] S2: Calculate the travel time of each route, and remove the route if the travel time is less than or equal to the effective working time of the compressed oxygen self-rescuer;

[0107] S3: Obtain the route with the shortest travel time and record it as the preferred route.

[0108] route line′ n,m The calculation process of the travel time is as follows:

[0109] Draw the route line′ in the 3D road map n,m And mark the direction of advance, and place it on the route line′ n,m The regional road sections on the q , q is the route line′ n,m The serial number of the upper regional section;

[0110] Get regional road segment L q The slope is recorded as PD, and the slope influence value β is set PD , when the regional road section is downhill relative to the forward direction, let the slope influence value be β PD =k1*PD, when the regional road section is uphill relative to the forward direction, let the slope impact value be β PD=k2*PD, where k1 and k2 are preset constant coefficients, and k2>k1;

[0111] The number of dangerous points is recorded as the scale assessment value Z, and the regional road section L is obtained. q The path distance between the nearest dangerous point is recorded as ΔD, and the dangerous situation impact value β is set D , obtain the return air direction in the target area, when the area section L q When located on the upwind side of the dangerous point, the danger impact value When the area section L q When located on the leeward side of the dangerous point, the danger impact value Where ΔT is the time difference between the dangerous point determination time and the current time, e is a natural constant, k3 and k4 are both preset constant coefficients, and k4>k3;

[0112] It should be noted that when a dangerous situation occurs, it will affect the passage of tunnels in the surrounding area (such as dust caused by roof collapse, gas diffusion caused by gas leakage, and heat waves and shock waves caused by gas explosions), thereby slowing down the speed of escapees through the affected area. This impact from the dangerous situation itself is related to the wind direction, scale of the dangerous situation and distance from the dangerous situation. The degree of this impact can be quantified through the dangerous situation impact value, which helps to more accurately predict the passage time of escapees.

[0113] Obtain the ground flatness in the target area and record it as the road condition impact value β MPI , substitute into the formula α q =μ1*β PD +μ2*β D +μ3*β MPI Calculate in and get the regional road section L q The corresponding traffic impact coefficient α q , where μ1, μ2, and μ3 are all preset weight coefficients;

[0114] It should be noted that the traffic impact coefficient is used to reflect the difficulty of passing through the regional road section. When the traffic impact coefficient is larger, it means that people will need to spend more time to pass through the regional road section because the regional road section has one or more of the following influences: poor road conditions, excessive impact of dangerous situations, or large slope impact. By calculating the traffic impact coefficient, the system can help predict the time it takes for escaping people to pass through the section based on actual conditions, thereby making more correct route planning and choices.

[0115] Get the road section L of each area q Corresponding road section length Substitute into the formula Calculate and get the route line′ n,m The corresponding travel time Tall , where v is the preset walking speed.

[0116] Dividing the route into multiple sections (i.e., regional sections) based on different road conditions can enable more detailed calculation of travel time. On this basis, the travel impact coefficient is independently calculated for each section. The travel impact coefficient of each section depends on the road conditions, the impact of dangerous situations, and the slope within the section. The travel time calculated based on the section length corresponding to each section is more in line with the actual time required for people to pass through the route, so as to facilitate the assessment of the feasibility and priority of the route, which helps to plan the escape route more reasonably.

[0117] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A smart lighting control method based on signal induction, characterized in that: The following steps are involved: Step 1: Construct a 3D route map inside the mine and divide the line segments in the 3D route map into multiple regional sections; Step 2: An escape trunk line is preset, and the connection node between the mining area and the escape trunk line is recorded as the escape node. Multiple analysis points are set in the mining area, and multiple escape nodes with a distance less than a preset threshold are screened for each analysis point and recorded as the first target node; Step 3: Independently control the emergency lighting fixtures in the mining area and record them as independent fixtures. Wireless communication is used between independent fixtures. Dangerous points are determined in the mining area based on abnormal working and communication status of the independent fixtures. Step 4: After the dangerous point is determined, the corresponding mining area is recorded as the target area, and the other mining areas are recorded as non-target areas; When an independent lamp belongs to the target area, the independent lamp with a worker nearby is recorded as the target lamp. Based on the passage routes between the target lamp and the corresponding multiple first target nodes, the preferred route is screened. If there is no preferred route among the passage routes, the shortest route to the nearest chamber is selected as the preferred route. Based on the preferred route, an independent lamp lighting set is constructed. The independent lamp lighting set includes the target lamp and multiple independent lamps around it. The independent lamps in the independent lamp lighting set are controlled to light up, and the guidance direction and signal light color are adjusted based on the preferred route.

2. The intelligent lighting control method based on signal induction according to claim 1 is characterized in that: The process of dividing regional road segments is as follows: The line segments in the three-dimensional roadmap are recorded as channel segments; Mark multiple equally spaced measurement points on the channel segment and obtain the net width, net height, slope, and ground flatness of the passage corresponding to each measurement point on the channel segment. The ground flatness is calculated based on the depth of road depressions, height of ridges, average height of gravel accumulation, and collapsed area. The measurement points are divided into multiple regional road segment sets. Each regional road segment set corresponds to a regional road segment. The division requirements include: The measurement points in the regional road segment set are continuous; There are preset clear width change thresholds, clear height change thresholds, slope change thresholds and ground flatness change thresholds. The clear width range, clear height range, slope range and ground flatness range corresponding to all measurement points in each regional road section set are less than the corresponding clear width change thresholds, clear height change thresholds, slope change thresholds and ground flatness change thresholds.

3. The intelligent lighting control method based on signal induction according to claim 2 is characterized in that: The ground flatness calculation process is as follows: A random evaluation area is defined within the area corresponding to the measurement point. The evaluation area is a preset area shape. The maximum road depression depth, maximum road bulge height, average gravel accumulation height, and collapsed area ratio in the evaluation area are measured and normalized, and recorded as the maximum road depression depth. Maximum bulge height Substitute the average height of gravel accumulation H1 and the proportion of collapsed area S1 into the formula Calculation is performed to obtain the ground flatness MPI, where λ1, λ2, and λ3 are all preset weight coefficients.

4. The intelligent lighting control method based on signal induction according to claim 1, characterized in that: The process of obtaining the first target node is as follows: A distance threshold is preset. The shortest route between the analysis point and each escape node is obtained and the route distance is calculated and recorded as the direct distance. There is a direct distance between the analysis point and each escape node. Multiple escape nodes with a direct distance less than the distance threshold are screened out and recorded as the first target nodes. The first target nodes are composed of the first target set.

5. The intelligent lighting control method based on signal induction according to claim 1 is characterized in that: The process of determining dangerous points is as follows: Mark all the installation points corresponding to the independent lamps in the mining area and record them as independent points; Independent points with abnormal working status are marked as hollow dots, and independent points with normal working status are marked as solid dots. Connecting line segments are drawn between any two adjacent dots. When two adjacent independent lamps communicate normally, the connecting line segments are solid lines. When two adjacent independent lamps cannot communicate, the connecting line segments are dotted lines. The hollow dots in the mining area and the points corresponding to the end points of the dotted line segments are marked as dangerous points.

6. The intelligent lighting control method based on signal induction according to claim 5 is characterized in that: The working status determination process is as follows: Obtain a line graph of the acceleration change over time of an independent lamp. Preset the observation duration. Construct an observation interval with the current time as the right endpoint and the observation duration as the interval length. Obtain the portion of the acceleration change line within the observation interval as the first observation line. Calculate the area of the closed figure between the first observation line and the time axis to obtain the total acceleration change value. Obtain a line graph of the air pressure change over time around the independent lamp, obtain the portion of the air pressure change line within the observation interval as a second observation line, and calculate the area of the closed figure enclosed by the second observation line and the time axis to obtain the total value of the air pressure change; Obtain the gas concentration value and air suspended particulate matter index around the independent lamp, perform normalization processing, and then sum them to obtain the air anomaly value; The total value of acceleration change, the total value of air pressure change and the air abnormality value are multiplied by the corresponding preset coefficients and summed to obtain the abnormality judgment value. When the abnormality judgment value is greater than the preset abnormality judgment threshold, the corresponding independent lamp working state is judged to be abnormal.

7. The intelligent lighting control method based on signal induction according to claim 4 is characterized in that: When an independent luminaire belongs to a non-target area, the independent luminaire control process is as follows: The controlled independent lamp is recorded as the controlled lamp, the nearest analysis point of the controlled lamp is recorded as the nearest analysis point, the first target set A corresponding to the nearest analysis point is obtained, and the shortest path length between the nearest analysis point and each first target node in the first target set A is recorded as line n , where n is the serial number corresponding to the first target node; Extract the shortest route length line n The minimum value in Will The corresponding shortest route is recorded as the quick evacuation route, the guiding direction of the control lamp is adjusted to point to the direction of the quick evacuation route, and the light color of the control lamp is adjusted to green.

8. The intelligent lighting control method based on signal induction according to claim 1 is characterized in that: The process of building an independent lighting set is as follows: Get the evacuation direction corresponding to the preferred route, and record the independent lamps on the preferred route as light f , f is the serial number of the independent lamp, light1 represents the target lamp, and the independent lamp lighting set [light1,…,light 1+g ], g represents the number of independent lamps that are lit, and the calculation formula is in: g′ is a preset constant value; PM 10 is the PM10 index near the target lamp; Δd is the installation interval of independent lamps; Indicates not less than The smallest integer.

9. The intelligent lighting control method based on signal induction according to claim 1, characterized in that: The process of determining the preferred route among the available routes is as follows: S0: Get the nearest analysis point of the target lamp as the target analysis point, get the first target set B corresponding to the target analysis point, and set each first target node in the first target set B as Y n , get the target analysis point and any first target node Y n The multiple routes between n,m , where m is the serial number of the route S1: When the route line′ n,m When passing through a dangerous point, the route will be eliminated; S2: Calculate the travel time of each route, and remove the route if the travel time is less than or equal to the effective working time of the compressed oxygen self-rescuer; S3: Obtain the route with the shortest travel time and record it as the preferred route.

10. The intelligent lighting control method based on signal induction according to claim 9, characterized in that: route line′ n,m The calculation process of the travel time is as follows: will be located on the pass route line′ n,m The regional road sections on the q , q is the route line′ n,m The serial number of the upper regional section; Get regional road segment L q The slope is recorded as PD, and the slope influence value β is set PD , when the regional road section is downhill relative to the forward direction, let the slope influence value be β PD =k1*PD, when the regional road section is uphill relative to the forward direction, let the slope impact value be β PD =k2*PD, where k1 and k2 are preset constant coefficients, and k2>k1; The number of dangerous points is recorded as the scale assessment value Z, and the regional road section L is obtained. q The path distance between the nearest dangerous point is recorded as ΔD, and the dangerous situation impact value β is set D , obtain the return air direction in the target area, when the area section L q When located on the upwind side of the dangerous point, the danger impact value When the area section L q When located on the leeward side of the dangerous point, the danger impact value Where ΔT is the time difference between the dangerous point determination time and the current time, e is a natural constant, k3 and k4 are both preset constant coefficients, and k4>k3; Get the ground flatness in the target area, combine the slope impact value and the hazard impact value, and multiply them by the corresponding weight coefficient to get the regional road section L. q The corresponding traffic impact coefficient α q ; Get the road section L of each area q Corresponding road section length Substitute into the formula Calculate and get the route line′ n,m The corresponding travel time T all , where v is the preset walking speed.

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