Auxiliary decision-making system applied to mine fire prevention and extinguishing field

Abstract

The invention provides an auxiliary decision making system applied to the field of mine fire prevention and extinguishing, which comprises a data acquisition module, a risk assessment module and an emergency response module, and is characterized in that the data acquisition module is used for acquiring temperature, gas concentration, smoke concentration and humidity; the risk assessment module carries out fire risk assessment through a preset assessment rule according to the temperature, the gas concentration, the smoke concentration and the humidity in the mine, and the emergency response module automatically triggers corresponding emergency response measures according to an assessment result. According to the invention, the potential fire risk can be identified more accurately and quickly.

Description

Technical Field

[0001] The invention belongs to the technical field of mine safety prevention, and in particular relates to an auxiliary decision-making system applied to the field of mine fire prevention and extinguishing. Background Art

[0002] Mines are important energy production bases in modern society, especially the mining of mineral resources such as coal mines and metal mines, which are directly related to energy security and industrial production. However, the working environment of mines is complex and dangerous, especially the fire risk is prominent, which seriously threatens the safety of mines and the lives and property of miners. Fires in mines are often caused by various factors such as high temperature, flammable gas leakage, mechanical equipment failure, and mine gas explosion. Once a fire occurs, it is often difficult to be effectively controlled in a short period of time, resulting in the expansion of the accident, and even serious accidents such as mine collapse and personnel being trapped.

[0003] At present, mine fire prevention and control mainly rely on traditional manual inspections, regular inspections and emergency response measures. Although these measures can reduce the risk of fire to a certain extent, they still have certain limitations. First, the mine environment is complex, and manual inspections face great challenges. Some areas are difficult to reach in time, especially in deep mines and areas far away from the main passage. Secondly, traditional prevention and control methods rely too much on people's subjective judgment and lack scientific and real-time risk assessment, which makes it difficult to detect some potential fire hazards in advance. In addition, the relationship between changes in environmental factors in mines (such as temperature, humidity, gas concentration, etc.) and the occurrence of fire is relatively complex. Traditional detection methods are difficult to conduct comprehensive and real-time data collection and risk analysis, resulting in delayed response, inaccurate measures, and inability to effectively respond to sudden fire incidents.

[0004] With the advancement of science and technology, especially the development of sensor technology, Internet of Things technology, and data processing technology, intelligent mine fire prevention and extinguishing technology has developed rapidly. These technologies can monitor environmental changes in the mine in real time and warn of fire risks in a timely manner through data analysis. For example, temperature sensors can monitor temperature anomalies, gas concentration sensors can detect harmful gas leaks, and humidity sensors can identify changes in humidity in the mine. These sensors can transmit data to the monitoring platform in real time wirelessly, thereby providing accurate real-time data support for mine safety managers.

[0005] However, the existing mine fire prevention and extinguishing systems are mostly single monitoring modules or simple alarm devices, lacking the ability to conduct comprehensive analysis of multiple environmental data, and unable to effectively conduct quantitative assessments of fire risks, nor can they flexibly and automatically adjust emergency response measures based on the assessment results. Therefore, how to conduct an accurate assessment of fire risks through multi-parameter joint assessment, comprehensively consider various environmental factors in the mine, and automatically trigger emergency responses based on risk assessment results is an urgent problem to be solved in the current mine safety prevention and control technology. Summary of the invention

[0006] The purpose of the present invention is to provide an auxiliary decision-making system applied to the field of mine fire prevention and extinguishing, which can collect environmental data in the mine in real time, conduct fire risk assessment, and automatically trigger emergency response measures according to the assessment results to ensure the safety of the mine.

[0007] In order to solve the above technical problems, the technical solutions provided by the present invention are as follows:

[0008] An auxiliary decision-making system used in the field of mine fire prevention and extinguishing includes a data acquisition module, a risk assessment module and an emergency response module.

[0009] The data acquisition module is used to collect temperature, gas concentration, smoke concentration and humidity; the risk assessment module performs fire risk assessment based on the temperature, gas concentration, smoke concentration and humidity in the mine through preset assessment rules, and the emergency response module automatically triggers corresponding emergency response measures based on the assessment results.

[0010] Furthermore, the data acquisition module includes a temperature sensor, a gas concentration sensor, a smoke concentration sensor and a humidity sensor, which are used to collect various environmental data in the mine in real time.

[0011] Furthermore, the risk assessment module uses a weighted average method to calculate a comprehensive fire risk score based on the risk scores and weights of each monitoring parameter in the mine. The specific calculation formula is as follows:

[0012]

[0013] Among them, S temp , S gas , S smoke , S humidity Risk scores for temperature, gas concentration, smoke concentration, and humidity, W temp , W gas , W smoke , W humidity is the corresponding weight.

[0014] Furthermore, the risk assessment module is based on the comprehensive fire risk score s total Fire risk is divided into four levels:

[0015] Low risk: total ≤1.5;

[0016] Medium risk: 1.5 total ≤2.5;

[0017] High risk: 2.5 total ≤3.5;​​

[0018] Very high risk: total >3.5.

[0019] Furthermore, the emergency response module automatically triggers corresponding emergency response measures according to the fire risk level, specifically including:

[0020] Low risk: Continue routine monitoring, no need to initiate emergency response;

[0021] Medium risk: Initiate local emergency response measures, including equipment inspection, ventilation adjustment, and gas concentration monitoring;

[0022] High risk: activate local fire extinguishing equipment, increase ventilation and gas exhaust;

[0023] Extremely high risk: Activate the entire mine fire extinguishing system, seal off high-risk areas and evacuate personnel.

[0024] Furthermore, the weights of the temperature, gas concentration, smoke concentration and humidity are dynamically adjusted based on historical mine fire data, mine type, and the degree and importance of the impact of monitoring parameters on fire risk.

[0025] Furthermore, the system also includes a user interface, which displays the fire risk assessment results in real time, including the current value of each monitoring parameter, risk score, risk level and corresponding emergency response status.

[0026] Furthermore, the emergency response module includes a manual intervention interface for manual adjustment when the emergency response is automatically triggered, and for adjusting emergency response measures for special situations or complex environments.

[0027] Compared with the prior art, the present invention has the following advantages:

[0028] The present invention uses a data acquisition module to monitor the environmental parameters inside the mine in real time, including temperature, gas concentration, smoke concentration and humidity, etc., and can comprehensively and timely grasp the environmental changes inside the mine. These data are processed by the risk assessment module and the fire risk is quantitatively assessed by the weighted average method. Compared with the traditional manual inspection and alarm system, it can identify potential fire risks more accurately and quickly.

[0029] The present invention adopts the weighted average method to jointly evaluate multiple environmental parameters such as temperature, gas concentration, smoke concentration and humidity, and can comprehensively consider the comprehensive impact of various environmental factors in the mine. At the same time, the weight value can be dynamically adjusted according to the historical fire data of the mine, the type of mine and the influence of each monitoring parameter on the fire risk, which makes the system more flexible and adaptable, and can make real-time adjustments according to the specific conditions and changes of the mine. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The accompanying drawings generally illustrate various embodiments by way of example and not limitation, and together with the description and claims, serve to illustrate the embodiments of the invention. Where appropriate, the same reference numerals are used throughout the drawings to refer to the same or similar parts. Such embodiments are illustrative and are not intended to be exhaustive or exclusive embodiments of the present apparatus or method.

[0031] Figure 1 A schematic diagram of the system framework of the present invention is shown. DETAILED DESCRIPTION

[0032] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0033] like Figure 1 As shown, the decision support system of the present invention includes the following modules:

[0034] Data acquisition module: used to collect monitoring data such as temperature, gas concentration, smoke concentration and humidity in the mine;

[0035] Risk assessment module: conducts joint analysis of processed monitoring data according to preset assessment rules to assess fire risks;

[0036] Emergency response module: Automatically trigger different emergency response measures based on risk assessment results to ensure timely response to fire risks;

[0037] User interface: The user interface displays the fire risk assessment results in real time, including the current value of each monitoring parameter, risk score, risk level and corresponding emergency response status.

[0038] Rules for joint assessment of mine fire risks

[0039] Evaluation parameters

[0040] Temperature: The temperature inside a mine is one of the key indicators of a fire. High temperatures may indicate overheating of equipment or the presence of a fire source.

[0041] Low risk: Temperature is within normal range (e.g. 30℃-50℃)

[0042] Medium risk: temperature slightly exceeds the standard (e.g. 50℃-60℃)

[0043] High risk: The temperature is seriously exceeded (e.g. 60℃-80℃)

[0044] Very high risk: temperature exceeding the limit (e.g. >80°C)

[0045] Gas concentration: The concentration of combustible gases (such as methane) in a mine has a significant impact on the fire risk. Excessive gas concentrations can cause explosions or fires.

[0046] Low risk: methane concentration < 1%

[0047] Medium risk: methane concentration 1%-2%

[0048] High risk: methane concentration 2%-4%

[0049] Very high risk: methane concentration > 4%

[0050] Smoke density: Smoke density is one of the direct manifestations of fire in mines. Increased smoke density often means the presence of a fire source.

[0051] Low risk: smoke concentration 0-5 units

[0052] Medium risk: smoke concentration 5-15 units

[0053] High risk: smoke concentration 15-30 units

[0054] Very high risk: smoke concentration > 30 units

[0055] Humidity: Low humidity can cause coal dust to accumulate, which can cause fires; high humidity can affect the mine's electrical equipment, increasing the risk of short circuits and fires.

[0056] Low risk: humidity between 40%-60%

[0057] Medium risk: humidity <40% or >80%

[0058] High risk: humidity <30% or >90%

[0059] Very high risk: Humidity is very low (<20%) or very high (>95%)

[0060] Risk level calculation

[0061] The assessment system scores the fire risk of the mine based on four monitoring parameters (temperature, gas concentration, smoke concentration, humidity). Each parameter is assigned a score (1-4 points, 1 for low risk and 4 for extremely high risk) within a specified range according to its actual value. Then, the comprehensive risk score is calculated using the weighted average method to determine the overall risk level of the fire.

[0062] The specific calculation formula is as follows:

[0063]

[0064] Among them, S temp , S gas , S smoke, S humidity The risk scores for temperature, gas concentration, smoke concentration and humidity are 1-4 points. temp , W gas , W smoke , W humidity is the corresponding weight.

[0065] For the mine fire protection and extinguishing system, the weights are allocated according to the following standards (the weights can be adjusted according to the specific conditions of the mine):

[0066] Temperature (W temp ) Weight: 30%

[0067] Gas concentration (W gas ) Weight: 40%

[0068] Smoke density (W smoke ) Weight: 20%

[0069] Humidity (W humidity )Weight: 10%

[0070] Therefore, the weights are:

[0071] W temp =0.3

[0072] W gas =0.4

[0073] W smoke =0.2

[0074] W humidity =0.1

[0075] Comprehensive risk level

[0076] After calculating the comprehensive risk score, the levels are divided according to the score value:

[0077] Low risk: total ≤1.5:

[0078] Medium risk: 1.5 total ≤2.5;

[0079] High risk: 2.5 total ≤3.5;

[0080] Very high risk: total >3.5.

[0081] Emergency Response Measures

[0082] Based on the final risk level, the system will automatically trigger the corresponding emergency response measures:

[0083] ​​Low risk: Continuous monitoring and routine inspections are performed without the need to initiate an emergency response.

[0084] Medium risk: Initiate local emergency response: check mine equipment, control temperature, increase ventilation, etc.

[0085] High risk: Activate local fire extinguishing equipment, increase ventilation, activate gas exhaust system, locate fire source, and check equipment.

[0086] Extremely high risk: Activate the entire mine fire extinguishing system, block high-risk areas, evacuate personnel, and activate the mine emergency rescue system.

[0087] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An auxiliary decision-making system applied in the field of mine fire prevention and extinguishing, characterized in that: Including data collection module, risk assessment module and emergency response module, The data acquisition module is used to collect temperature, gas concentration, smoke concentration and humidity; the risk assessment module performs fire risk assessment based on the temperature, gas concentration, smoke concentration and humidity in the mine through preset assessment rules, and the emergency response module automatically triggers corresponding emergency response measures based on the assessment results.

2. The auxiliary decision-making system applied to the field of mine fire prevention and extinguishing according to claim 1 is characterized in that: The data acquisition module includes a temperature sensor, a gas concentration sensor, a smoke concentration sensor and a humidity sensor, which are used to collect various environmental data in the mine in real time.

3. The auxiliary decision-making system applied to the field of mine fire prevention and extinguishing according to claim 1 is characterized in that: The risk assessment module uses the weighted average method to calculate the comprehensive fire risk score based on the risk scores and weights of each monitoring parameter in the mine. The specific calculation formula is as follows: Among them, S temp , S gas , S smoke , S humidity Risk scores for temperature, gas concentration, smoke concentration, and humidity, W temp , W gas , W smoke , W humidity is the corresponding weight.

4. The auxiliary decision-making system applied to the field of mine fire prevention and extinguishing according to claim 1 is characterized in that: The risk assessment module is based on the comprehensive fire risk score s total Fire risk is divided into four levels: Low risk: total ≤1.5; Medium risk: 1.5 total ≤2.5;​ High risk: 2.5 total ≤3.5;​ Very high risk: total >3.

5.

5. The auxiliary decision-making system applied to the field of mine fire prevention and extinguishing according to claim 1 is characterized in that: The emergency response module automatically triggers corresponding emergency response measures according to the fire risk level, specifically including: Low risk: Continue routine monitoring, no need to initiate emergency response; Medium risk: Initiate local emergency response measures, including equipment inspection, ventilation adjustment, and gas concentration monitoring; High risk: activate local fire extinguishing equipment, increase ventilation and gas exhaust; Extremely high risk: Activate the entire mine fire extinguishing system, seal off high-risk areas and evacuate personnel.

6. The auxiliary decision-making system applied to the field of mine fire prevention and extinguishing according to claim 1 is characterized in that: The weights of the temperature, gas concentration, smoke concentration and humidity are dynamically adjusted based on the historical fire data of the mine, the type of mine, and the degree and importance of the impact of the monitoring parameters on the fire risk.

7. The auxiliary decision-making system applied to the field of mine fire prevention and extinguishing according to claim 1 is characterized in that: The system also includes a user interface, which displays the fire risk assessment results in real time, including the current value of each monitoring parameter, the risk score, the risk level and the corresponding emergency response status.

8. The auxiliary decision-making system applied to the field of mine fire prevention and extinguishing according to claim 1 is characterized in that: The emergency response module includes a manual intervention interface for performing manual adjustments when the emergency response is automatically triggered, and adjusting emergency response measures for special situations or complex environments.

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