Mine fire evacuation planning system based on artificial intelligence

Abstract

The invention provides a mine fire evacuation planning system based on artificial intelligence, and the system comprises an underground roadway model module, a ventilation module, a fire detection module, a harmful gas detection module, a personnel distribution detection module, an intelligent evacuation planning module, and an exit moving line module. The ventilation module is used for controlling roadway node air, the harmful gas detection module and the fire detection module are used for detecting fire behavior, the personnel distribution detection module is used for confirming personnel distribution conditions, and the fire detection module and the hazard peculiar detection module are used for monitoring fire sources and development trends in real time. The intelligent evacuation planning module plans an evacuation route according to the fire type, and the exit moving line module obtains the escape moving line of each node position in the mine based on the evacuation planning result. The fire hazard is divided into three conditions, the evacuation route is limited and the shortest evacuation route is planned according to different fire hazard type characteristics, the accuracy is higher, the resource occupancy rate is low, and the reliability is higher.

Description

Technical Field

[0001] The present invention relates to the field of information and communication technology specifically suitable for administrative, commercial, financial, management or supervisory purposes, and in particular to a mine fire evacuation planning system based on artificial intelligence. Background Art

[0002] During the mining process, mines are inevitably threatened by various disasters, among which fire is one of the major disasters faced by mines. Due to the intricate and narrow space of mine tunnels, when a fire occurs in a mine, the high-temperature smoke is difficult to discharge and will spread rapidly. The high temperature and toxic components of the smoke seriously affect the personal safety of mine workers and even cause significant loss of life and property. After a fire occurs, emergency evacuation is required as soon as possible. If decision makers and miners are not aware of the spread of fire smoke, casualties are likely to occur during the evacuation process. It can be seen that how to find the best evacuation route in the shortest time to help the victims in the mine escape quickly is an important issue that needs to be solved in emergency evacuation of mine fires.

[0003] Existing technologies often use simulation methods to fit smoke. Due to the amount of data required for simulation, huge computing power is required to complete evacuation planning after a certain period of time when the mine tunnel is complicated. Since evacuation is an emergency response behavior, especially when a return air fire occurs, the evacuation time is very urgent. The use of existing technologies often delays precious survival time. At the same time, the data results based on simulation may ignore some influencing factors, resulting in certain misjudgments.

[0004] Therefore, it is necessary to provide an artificial intelligence-based mine fire evacuation planning system to solve the above technical problems. Summary of the invention

[0005] The present invention aims to solve the problem in the prior art that there is a technology that performs smoke fitting based on simulation means. Due to the amount of data required for the simulation, in the case of complex mine tunnels, huge computing power is needed to complete the evacuation planning after a certain period of time. A mine fire evacuation planning system based on artificial intelligence is provided, which distinguishes fire types through images and location information, arranges evacuation according to the characteristics of the fire type, and solves the above problem.

[0006] The present invention provides a mine fire evacuation planning system based on artificial intelligence, including an underground tunnel model module, a ventilation module, a fire detection module, a hazardous gas detection module, a personnel distribution detection module, an intelligent evacuation planning module and an exit movement line module; The underground tunnel model module is used to establish and update the tunnel model of the current underground part in real time based on the excavation progress; The ventilation module is used to introduce air into each node in the mine tunnel to guide the development of the fire; The acquisition ends of the harmful gas detection module and the fire detection module are set at each node position in the underground roadway. The harmful gas detection module is used to detect the data collected by the gas detection sensor, and the fire detection module is used to detect the video stream collected by the video sensor; The personnel distribution detection module is used to confirm the personnel distribution between each node in the mine; The fire detection module and the harmful gas detection module 4 are used to monitor the fire source and its development trend in real time; The intelligent evacuation planning module extracts the fire image features from the video stream information in the fire detection module to determine whether a fire is occurring at present. When the intelligent evacuation planning module determines that a fire has occurred, it determines the type of the current fire source according to the model structure of the underground roadway model module and the location where the fire is detected by the detection module. The intelligent evacuation planning module controls the air supply speed of the ventilation module to the underground roadway according to the type of the fire source, and synchronously collects the personnel flow conditions at each position in the underground roadway during the time period from the current time node to the first threshold before the current time node, and conducts evacuation planning for the personnel in each roadway; The exit movement line module obtains the escape movement lines of each node position in the mine based on the above evacuation planning results.

[0007] In a preferred embodiment of the mine fire evacuation planning system based on artificial intelligence according to the present invention, the exit movement line module activates the evacuation indicator lights in the corresponding evacuation directions in the corresponding roadways based on the evacuation planning results of the intelligent evacuation planning module. The minimum unit of the control unit of the evacuation indicator lights controlled by the exit movement line module is one roadway.

[0008] In a preferred embodiment of the mine fire evacuation planning system based on artificial intelligence according to the present invention, the specific method for the intelligent evacuation planning module to plan the evacuation route according to the model structure of the underground roadway model module is as follows: The fire detection module transmits the position signal of the detected fire source to the intelligent evacuation planning module. The intelligent evacuation planning module collects the results of the harmful gas detection module. The intelligent evacuation planning module separately sends escape instructions to each roadway unit between the roadway nodes. The intelligent evacuation planning module excludes all roadway units with harmful gas exceeding the threshold and the roadway units that are unidirectionally connected to them as escape routes, and according to the relationship law between time and the growth of harmful gases, obtains the time for each roadway unit to reach this roadway based on the minimum speed of personnel movement. After this time, the current roadway unit and the roadway units that are unidirectionally connected to it are excluded as escape routes.

[0009] In a preferred embodiment of the mine fire evacuation planning system based on artificial intelligence according to the present invention, the specific method for the intelligent evacuation planning module to control the air supply speed of the ventilation module to the underground roadway and conduct evacuation planning for the personnel in each roadway according to the type of the fire source is as follows: When the fire source is located in the return airway, the fire source is determined as a return airway fire source. The ventilation module adjusts the wind speed on the downwind side of the return airway to 1.5 m / s to 2 m / s, and instructs the personnel in each roadway unit to evacuate in the direction of the fresh air flow according to the number of people into the nearest or the second nearest inclined roadway. When the evacuated roadway unit is an upwind road section, the route where the main airway is located is selected as the evacuation route to the greatest extent. When the evacuated roadway unit is a downwind road section, the route where the side branch is located is selected as the evacuation route to the greatest extent; When the fire source is located in the intake airway, the fire source is determined as an intake airway fire source. The ventilation module adjusts the wind speed to 1.5 m / s and instructs the personnel in each roadway unit to take shelter in the nearest refuge chamber. When the fire source is located in the middle section of the inclined roadway, the fire source is determined as a middle section fire source, and the ventilation condition is determined. If it is 1 m / s, the staff in the intake airway roadway unit is instructed to evacuate in the intake direction, and the personnel in the remaining roadway units take shelter in the nearest refuge chamber. If it is 1.5 m / s to 2 m / s, the personnel in each roadway unit are instructed to avoid the inclined roadway in the middle section of the fire source to the connection position between the return airway and the return airway itself, and evacuate through the inclined roadway to the intake airway.

[0010] The beneficial effects of the present invention are as follows: This technical solution classifies the fire into three physical situations: return fire, intake fire, and the middle section of the inclined roadway, and further differentiates them through video recognition to ensure the accuracy of judgment. Considering the four dimensions of smoke, temperature, CO concentration, and visibility of different fire types, a preliminary route limit for the evacuation method is carried out. On this basis, the evacuation route is obtained through the shortest path planning, which is more accurate, has a lower resource occupancy rate, and higher reliability compared with the existing means. Description of the Drawings

[0011] Figure 1 It is a schematic diagram of a mine fire evacuation planning system based on artificial intelligence.

[0012] Reference Signs: 1. Underground roadway model module; 2. Ventilation module; 3. Fire detection module; 4. Hazardous gas detection module; 5. Personnel distribution detection module; 6. Intelligent evacuation planning module. Detailed Embodiments

[0013] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Embodiment 1

[0014] As Figure 1As shown in the figure, an artificial intelligence-based mine fire evacuation planning system includes an underground roadway model module 1, a ventilation module 2, a fire detection module 3, a harmful gas detection module 4, a personnel distribution detection module 5, an intelligent evacuation planning module 6, and an exit movement line module 7; The underground roadway model module 1 is used to establish and update the roadway model of the current underground part in real time based on the excavation progress; The ventilation module 2 is used to introduce air into each node in the mine roadway and guide the development of the fire; The collection ends of the harmful gas detection module 4 and the fire detection module 3 are set at each node position in the underground roadway. The harmful gas detection module 4 is used to detect the data collected by the gas detection sensor, and the fire detection module 3 is used to detect the video stream collected by the video sensor; The personnel distribution detection module 5 is used to confirm the personnel distribution between each node in the mine; The fire detection module 3 and the harmful gas detection module are used to monitor the fire source and development trend in real time; The intelligent evacuation planning module 6 extracts the fire image features from the video stream information in the fire detection module 3 to judge whether a fire occurs currently. When the intelligent evacuation planning module 6 judges that a fire occurs, according to the model structure of the underground roadway model module 1 and the position where the fire is detected by the detection module, it judges the current fire source type. The intelligent evacuation planning module 6 controls the air supply speed of the ventilation module 2 to the underground roadway according to the fire source type, and synchronously collects the personnel flow conditions at each position in the underground roadway during the time period from the current time node to the first threshold before the current time node, and conducts evacuation planning for the personnel in each roadway; The exit movement line module 7 obtains the escape movement line of each node position in the mine based on the above evacuation planning results.

[0015] The exit movement line module activates the evacuation indicator lights in the corresponding evacuation directions in the corresponding roadways based on the evacuation planning results of the intelligent evacuation planning module 6. The control unit of the evacuation indicator lights controlled by the exit movement line module has a minimum unit of one roadway.

[0016] The specific method for the intelligent evacuation planning module 6 to plan the evacuation route according to the model structure of the underground roadway model module 1 is as follows: The fire detection module 3 transmits the position signal of the detected fire source to the intelligent evacuation planning module 6. The intelligent evacuation planning module 6 collects the results of the harmful gas detection module 4. The intelligent evacuation planning module 6 separately sends escape instructions to the roadway units between each roadway node. The intelligent evacuation planning module 6 excludes all roadway units with harmful gas exceeding the threshold and the roadway units that are unidirectionally connected to them as escape routes, and according to the relationship law between time and the growth of harmful gases, obtains the time for each roadway unit to reach this roadway based on the minimum speed of personnel movement. After this time, it excludes the current roadway unit and the roadway units that are unidirectionally connected to it as escape routes.

[0017] The specific method of the intelligent evacuation planning module 6 controlling the ventilation module 2 to supply air to the underground tunnels and to plan the evacuation of personnel in each tunnel according to the type of fire source is as follows: When the fire source is located in the return air lane, the fire source is determined to be a return air fire source, and the ventilation module 2 adjusts the wind speed on the downwind side of the return air lane to 1.5m / s~2m / s, instructing the personnel in each lane unit to evacuate to the nearest or second nearest inclined lane facing the fresh air flow according to the number of people. When the evacuated lane unit is an upward wind path, the route where the main wind path is located is selected as the evacuation route to the maximum extent; when the evacuated lane unit is a downward wind path, the route where the side branch road is located is selected as the evacuation route to the maximum extent. When the fire source is the return air fire source, the smoke will flow backwards. The greater the wind speed, the less obvious the backward flow phenomenon is. The temperature on the upwind side will drop and the visibility will increase, but it will also increase the fire propagation speed, temperature increase and visibility decrease on the downwind side. Therefore, when a fire occurs, the wind speed can be selected to be 1.5m / s or 2m / s according to the specific conditions on the downwind side of the return air lane; the workers on the working face can evacuate from the nearest inclined lane facing the fresh air flow.

[0018] When the fire source is located in the air intake lane, the fire source is determined to be an air intake fire source, and the ventilation module 2 adjusts the wind speed to 1.5m / s, instructing the personnel in each lane unit to evacuate to the nearest refuge chamber; When the fire source is the air-intake fire source, the greater the wind speed, the more obvious the throttling effect, and the air volume in the downwind side of the air-intake lane decreases. The wind pressure of the fire will cause the wind flow in the inclined lane to reverse, and the reduction of the wind volume in the downwind side of the air-intake lane will cause the wind flow direction to change with the wind flow direction of the inclined lane, which is easy to cause circulating wind to cause smoke accumulation, increase the temperature and CO concentration, reduce visibility, and increase the degree of fire hazard. Therefore, the wind speed cannot be too high after the fire occurs in the air-intake fire source. Excessive wind speed will form circulating wind and cause smoke accumulation; because when the wind speed is 1.5m / s, the staff can maximize the escape time, so this wind speed condition is most suitable for escaping from the fire of the air-intake fire source; but because the fire hazard range of the air-intake fire source is the largest, once a fire occurs, the smoke will fill the entire working face, and it is difficult for the staff to evacuate from the working face, so the staff should go to the nearest refuge chamber as soon as possible for refuge.

[0019] When the fire source is located in the middle section of the inclined tunnel, the fire source is determined to be a middle section fire source, and the ventilation conditions are determined. If it is 1m / s, the staff in the air intake tunnel unit are instructed to evacuate in the air intake direction, and the staff in the other tunnel units take refuge in the nearest refuge chamber. If it is 1.5m / s~2m / s, the staff in each tunnel unit are instructed to avoid the middle section fire source inclined tunnel to the return air tunnel connection position and the return air tunnel itself, and evacuate to the air intake tunnel through the inclined tunnel.

[0020] When the fire source is a middle-section fire source, the smaller the wind speed, the less affected the side inclined roadway is by the mechanical wind pressure, and the more likely it is to be affected by the fire wind pressure and cause air flow reversal. When the air volume remains unchanged, the greater the wind speed, the greater the mechanical wind pressure. Therefore, when the wind speed is 2 m / s, the air flow reversal affected by the mechanical wind pressure on the fire wind pressure is significantly controlled. And when the wind speed condition reaches 2 m / s, the range of smoke spread is the smallest, the temperature can be reduced to a certain extent, and the visibility can be increased to a certain extent. Therefore, a wind speed of 2 m / s is more appropriate during the simulation of a middle-section fire source fire, and the staff can evacuate against the fresh air flow from the nearby inclined roadway.

[0021] The above are only the preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, making equivalent substitutions or changes should be covered within the protection scope of the present invention.

Claims

1. A mine fire evacuation planning system based on artificial intelligence, characterized by: It includes an underground tunnel model module (1), a ventilation module (2), a fire detection module (3), a hazardous gas detection module (4), a personnel distribution detection module (5), an intelligent evacuation planning module (6) and an exit movement line module (7); The underground tunnel model module (1) is used to establish and update the tunnel model of the current underground part in real time based on the excavation progress; The ventilation module (2) is used to introduce air into each node in the mine tunnel to guide the development of the fire; The acquisition ends of the hazardous gas detection module (4) and the fire detection module (3) are arranged at various node positions in the underground tunnel, the hazardous gas detection module (4) is used to detect data collected by the gas detection sensor, and the fire detection module (3) is used to detect the video stream collected by the video sensor; The personnel distribution detection module (5) is used to confirm the personnel distribution between nodes in each mine; The fire detection module (3) and the hazardous gas detection module (4) are used to monitor the fire source and development trend in real time; The intelligent evacuation planning module (6) extracts fire image features based on the video stream information in the fire detection module (3) to determine whether a fire is currently occurring. When the intelligent evacuation planning module (6) determines that a fire has occurred, the type of current fire source is determined based on the model structure of the underground tunnel model module (1) and the location where the fire is found by the detection module. The intelligent evacuation planning module (6) controls the air supply speed of the ventilation module (2) to the underground tunnel according to the type of fire source, and simultaneously collects the flow of people in the underground tunnel from the current time node to the first threshold before the current time node at each location, and performs evacuation planning for the people in each tunnel; The exit moving line module (7) obtains the escape moving line of each node position in the mine based on the above evacuation planning result.

2. The artificial intelligence-based mine fire evacuation planning system according to claim 1, characterized in that: The exit movement line module activates the evacuation indicator lights of the corresponding evacuation direction in the corresponding lane based on the evacuation planning result of the intelligent evacuation planning module (6), and the minimum unit of the control unit of the evacuation indicator lights controlled by the exit movement line module is a lane.

3. The artificial intelligence-based mine fire evacuation planning system according to claim 1, characterized in that: The specific method for the intelligent evacuation planning module (6) to plan an evacuation route according to the model structure of the underground tunnel model module (1) is: The fire detection module (3) transmits a location signal of the fire source to the intelligent evacuation planning module (6), the intelligent evacuation planning module (6) collects the results of the hazardous gas detection module (4), the intelligent evacuation planning module (6) sends escape instructions to the lane units between each lane node separately, the intelligent evacuation planning module (6) excludes all lane units with hazardous gases exceeding a threshold value and lane units connected to them in one direction as escape routes, and obtains the time for each lane unit to reach this lane based on the minimum speed of personnel movement according to the relationship between time and the growth of hazardous gases, and excludes the current lane unit and the lane units connected to it in one direction as escape routes after this time.

4. The artificial intelligence-based mine fire evacuation planning system according to claim 3, characterized in that: The specific method by which the intelligent evacuation planning module (6) controls the air supply speed of the ventilation module (2) to the underground tunnels and performs evacuation planning for personnel in each tunnel according to the type of fire source is: When the fire source is located in the return air lane, the fire source is determined to be a return air fire source, and the ventilation module (2) adjusts the wind speed on the downwind side of the return air lane to 1.5 m / s to 2 m / s, and instructs the personnel in each lane unit to evacuate to the nearest or next nearest inclined lane facing the fresh air flow according to the number of people. When the evacuated lane unit is an upward wind path, the route where the main wind path is located is selected as the evacuation route to the maximum extent; when the evacuated lane unit is a downward wind path, the route where the side branch road is located is selected as the evacuation route to the maximum extent; When the fire source is located in the air intake tunnel, the fire source is determined to be an air intake fire source, and the ventilation module (2) adjusts the wind speed to 1.5 m / s, instructing the personnel in each tunnel unit to take refuge in the nearest refuge chamber; When the fire source is located in the middle section of the inclined tunnel, the fire source is determined to be a middle section fire source, and the ventilation conditions are determined. If it is 1m / s, the staff in the air intake tunnel unit are instructed to evacuate in the air intake direction, and the staff in the other tunnel units take refuge in the nearest refuge chamber. If it is 1.5m / s~2m / s, the staff in each tunnel unit are instructed to avoid the middle section fire source inclined tunnel to the return air tunnel connection position and the return air tunnel itself, and evacuate to the air intake tunnel through the inclined tunnel.

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