Mine safety production monitoring and early warning method and system

Abstract

The invention provides a mine safety production monitoring and early warning method and system, and the method comprises the steps: obtaining a channel map of a mine, building a map model, and deploying a sensor assembly to a working condition node of the mine; mapping the position of the sensor assembly into a sensing point on a map model and establishing a radiation area, establishing a dangerous case database and presetting an environment threshold value by the server, setting a dangerous level according to the deviation degree of the environment threshold value and forming a sequence chain, dividing a plurality of functional areas and performing data association with the dangerous case database; the sensor assembly collects environment data of the working condition node in real time under the strategy A and uploads the environment data to the server, and the environment data is compared with an environment threshold value; when the environment data exceed the environment threshold value, the deviation degree and the danger level of the environment data and the environment threshold value are calculated; and calling a dangerous case database to carry out marking and early warning on a functional area associated with the current danger level, and expecting that the worker misses a remedy opportunity when the accident is still at a low risk when the equipment gives an alarm when the abnormity occurs.

Description

Technical Field

[0001] The present invention relates to mine safety warning, and specifically to a method and system for monitoring and warning of mine safety production. Background Art

[0002] In the current field of mine safety monitoring, traditional safety warning systems often rely on manual inspections and simple sensor alarms. Traditional manual inspections rely on the experience and observation ability of staff. However, in the vast and complex mine environment, the coverage and frequency of manual inspections are limited. The working areas of mines are often vast and diverse. Especially in deep wells, underground mining areas, and dangerous operation areas, it is easy for staff to overlook some subtle but potentially very important safety hazards during inspections, such as the most common gas leaks. Often, only when an accident occurs or is about to occur and there are precursors can a response be made. Moreover, the timeliness of manual inspections is poor, and many problems can only be solved afterwards, resulting in the long-term accumulation of environmental hazards. Especially during the mine production process, the number of staff is usually limited, and it is impossible to conduct full-time and all-round inspections and monitoring, thus increasing the safety risks.

[0003] Currently, in order to improve the effectiveness of mine safety monitoring, sensors are installed in multiple areas of the mine to only monitor specific environmental data in real time, such as temperature, humidity, gas concentration, etc. However, they can often only provide simple alarm signals and lack the ability of trend prediction and risk assessment. The current systems cannot dynamically adjust and give warnings according to the changes in real-time environmental data. As a result, when an anomaly occurs, staff are often at a loss, and some workers even directly evacuate, missing the opportunity to remedy the situation when the accident is still at a low risk.

[0004] Considering that a large number of sensors have been deployed in mines currently, on the basis of not changing the existing sensor warnings, how to dynamically adjust the warning strategy according to real-time environmental data to improve the monitoring and warning effect. Inside the mine shaft, environmental factors such as temperature, humidity, and harmful gas concentration are constantly changing. By capturing the changes in real time and making corresponding warning adjustments, it is necessary to invest in developing a more effective monitoring and warning mechanism for mine safety production to improve the mine safety management level and reduce the risk of safety accidents. Summary of the Invention

[0005] The purpose of the present invention is to provide a method and system for monitoring and warning of mine safety production, aiming to improve the problem that the existing mine safety system cannot give dynamic warnings at a lower cost, and when an anomaly occurs, the equipment alarm causes workers to miss the opportunity to remedy the situation when the accident is still at a low risk. To solve the above technical problems, the present invention adopts the following technical solutions: In a first aspect, a mine safety production monitoring and early warning method includes the following steps: obtaining a passage map of the mine and establishing a map model, and deploying a sensor component to a working condition node of the mine; mapping the position of the sensor component onto the map model as a sensing point; establishing a radiation area of the sensing point on the map model.

[0006] The server establishes a danger situation database and presets an environmental threshold for each sensor component; uses the sensing point in the danger situation database as an identity identifier, matches an environmental threshold for each identity identifier, and sets N danger levels according to the deviation degree of the environmental threshold and forms an ordered chain; where N≥3 and N is an integer.

[0007] Divide the radiation area into several functional areas, and perform data association between the functional areas and the N danger levels of the danger situation database; the server configures Policy A, and the above-mentioned sensor components collect environmental data of the working condition node in real time under Policy A and upload it to the server, and the server compares the environmental data with the environmental threshold; if the environmental data is less than or equal to the environmental threshold, it means normal; when the environmental data exceeds the environmental threshold, it is regarded as an environmental abnormal event; calculate the deviation degree between the environmental data and the environmental threshold, and determine the current danger level; the server calls the danger situation database to significantly mark and give an early warning to the functional area associated with the current danger level.

[0008] In a technical solution of the present invention, when establishing the radiation area of the sensing point on the map model, obtain the transmission power of the sensor component and the environmental noise spectral density, and obtain the effective monitoring radius through the transmission attenuation formula; the server calls historical data and uses the Gaussian diffusion model to delimit the diffusion area of the gas, and when the gas concentration in the diffusion area is determined as the safety threshold, obtain the safety boundary of the diffusion area, and map the safety boundary onto the map model to obtain the radiation area.

[0009] In a further technical solution of the present invention, when calculating the effective monitoring radius of the sensor component, the following transmission attenuation formula is adopted: ; where R is the monitoring radius of the sensor component, Pt is the transmission power of the sensor component, d is the distance from the sensor component to the monitored target, and L is the path loss factor.

[0010] In a further technical solution of the present invention, the server calls historical data and uses the Gaussian diffusion model to delimit the diffusion area of the gas by using the following formula: ; where is the gas concentration at the coordinate position, is the release rate of the polluted gas during the predicted accident, V is the environmental wind speed during the predicted accident, and are the diffusion parameters of the polluted gas in the horizontal and vertical directions respectively, y is the horizontal distance of the sensing point, and z is the vertical height from the ground; It is the attenuation law of gas concentration.

[0011] In a technical solution of the present invention, when the above server forms an ordered chain of N danger levels, it sets the number N of adjacent danger levels and defines the deviation degree of the lowest danger level; calculates the deviation degree of the next danger level based on the deviation degree of the lowest danger level; wherein, the formula for calculating the deviation degree between two adjacent danger levels is: ; in the formula, is the deviation degree of the Nth danger level, is the deviation degree of the (N - 1)th danger level, is the danger gain coefficient, is the change range of environmental parameters; wherein, the functional area corresponding to the Nth danger level covers the functional area corresponding to the (N - 1)th danger level. By applying multiple danger levels to the same functional area, it is convenient to dynamically adjust the associated danger levels according to the actual deviation degree of environmental data when necessary.

[0012] In a technical solution of the present invention, when the above server significantly marks and gives an early warning to the functional area associated with the current danger level, the server establishes an evacuation route on the map model, and the above evacuation route does not overlap with the significantly marked functional area.

[0013] In a technical solution of the present invention, when the above server significantly marks the functional area, it determines whether there is a difference between the current danger level and the maximum danger level; when there is a difference, the server highlights the functional area of the next danger level and determines whether the evacuation route overlaps with the highlighted functional area. If the evacuation route overlaps with the highlighted functional area, the evacuation route is re - planned.

[0014] In a technical solution of the present invention, when the server re - plans the evacuation route, it obtains a safe area from the map model and calls the shortest path algorithm to plan a path from the safe area. The above - planned path is sent by the server to the mobile devices of the staff in a broadcast form.

[0015] In a second aspect, the present invention provides an early warning system, which includes a sensor component, an alarm device, a local machine and a server. The above server is used to execute the aforementioned mine safety production monitoring and early warning method; wherein, the local machine exchanges signals with the server. The local machine stores the channel map of the mine and receives the map model sent by the server. When the local machine receives the map model, it maps the position of the sensor component to a sensing point on the map model and feeds it back to the server; wherein, the local machine is signal - connected to the sensor component, and the local machine obtains the environmental data collected in real - time by the sensor component deployed at the mine working condition nodes and sends it to the server; wherein, the alarm device is signal - connected to the local machine. When the server gives an early warning, it sends a linkage signal to the local machine, and the local machine starts the alarm device according to the linkage signal.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention establishes a map model through a server. The map model corresponds to environmental data through sensing points. By setting multiple danger levels and dynamically adjusting the associated danger levels, hierarchical early warning for different danger levels is achieved, improving the pertinence and effectiveness of early warning. By dynamically monitoring the environmental data of mine working condition nodes, real-time monitoring and early warning of mine safety production are realized, effectively improving the efficiency and accuracy of mine safety management. In case of abnormality, the server can make a judgment according to the danger level to issue an early warning, avoiding workers missing the opportunity to remedy when the accident is still at a low risk, thus reducing the probability and loss of accidents. At the same time, this method can also match the existing mine escape system. Through the planning and replanning functions of evacuation channels, it can provide a safe evacuation path for staff in case of emergency, further ensuring the safety of personnel's lives.

[0017] The present invention also divides the radiation area into several functional areas, associates the functional areas through a danger situation database, and sets the safety boundaries of the functional areas through a Gaussian diffusion model, so as to predict the diffusion of polluted gas in the mine environment, providing important data support for safety production. Through this model, the gas concentration at different positions can be calculated, helping managers timely understand potential danger areas and take corresponding early warning and emergency measures. Objectively, it improves the monitoring efficiency of mine safety production and reduces the possibility of accidents caused by the difficulty in determining the risk level due to gas leakage. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic flow chart of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. All directional indications (such as up, down, left, right, front, back...) in the embodiments of the present invention are only used to explain the relative position relationship and movement situation in a specific working state. If the specific posture changes, the directional indication will also change accordingly.

[0020] In the present invention, unless otherwise clearly specified and defined, terms such as "connection" shall be understood in a broad sense. For example, "connection" can be an electrical signal connection or a signal connection; it can also be the internal communication of two components or the interaction relationship between two components, unless otherwise clearly defined. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. The following embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware, or any other arbitrary combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are generated in whole or in part. In the present invention, "at least one" means one or more, and "a plurality" means two or more. "At least one of the following" or its similar expressions refer to any combination of these items, including any combination of single items or plural items.

[0021] Reference Figure 1 As shown, an embodiment of the present invention is a method for monitoring and warning of mine safety production, including the following steps: S100, obtaining the channel map of the mine and establishing a map model, deploying a sensor component to the working condition nodes of the mine; mapping the position of the sensor component on the map model as a sensing point; establishing a radiation area of the sensing point on the map model.

[0022] Among them, on the premise of carrying out safety production in existing mines, it is necessary to clarify each working area in the mine, including the situation of key equipment areas, personnel passage areas, and dangerous areas. Therefore, the server can definitely establish a unique identifier for each working area of the mine on the map model, and when the server issues a warning, it is necessary to map the relevant identifiers on the map model of the mine.

[0023] Among them, the method of establishing the map model can use existing devices such as laser scanners or ground-penetrating radars to scan the terrain and landforms of the mine, convert the obtained various mine terrain data into a digital map model, and integrate information such as various facilities, channels, and dangerous areas inside the mine in the map model.

[0024] Among them, the sensor component is installed on the working condition nodes delimited in the map model. When deploying the sensor component, the effective coverage range of the sensor component needs to be considered so that the sensor component can cover the monitoring area required for mine safety production. Its sensing point is usually the coordinate mapping of the actual installation position of the sensor component on the mine on the map model. Among them, if the map model is three-dimensional, the sensing point is represented by X, Y, and Z coordinates.

[0025] S200, the server establishes a dangerous situation database and presets the environmental threshold of each sensor component; the sensing point in the dangerous situation database is used as an identity, and the environmental threshold is matched for each identity, and N danger levels are set according to the degree of deviation of the environmental threshold and form a sequence chain; wherein N ≥ 3, and N is an integer. The degree of deviation is usually the difference between the monitoring data collected by the sensor component and the environmental threshold. Since the environmental threshold has an upper limit and a lower limit, the degree of difference is usually the absolute value of the difference between the median of the monitoring data and the environmental threshold when it is determined that the monitoring data is outside the environmental threshold, and the absolute value of the difference represents the degree of deviation.

[0026] For reference, N danger levels are defined, and each level is determined according to the degree of deviation of environmental data. Among them, the first danger level represents that the environmental data deviation is small, which is low risk; the Nth danger level represents that the deviation is large, which is high risk. Generally speaking, the danger level determined by the same sensor component must meet the nesting conditions, that is, the high danger level should contain the risks of the low danger level, so as to ensure the rationality of the subsequent warning response.

[0027] For reference, each sensing point has a unique location and is equipped with a unique identity, which can be a device code or a coordinate serial number; the identity ensures that the monitoring data of each sensor can be accurately recorded. Among them, the environmental threshold is mainly for the threshold set for each sensor component. Each sensor component has an independent environmental threshold, which is used to compare with the real-time monitoring data to obtain the degree of deviation of the environmental threshold. It should be noted that the setting of environmental thresholds is usually based on mine safety production standards and historical data. In principle, the environmental threshold is mainly set according to the specific type of sensor component, such as temperature, humidity, and gas concentration.

[0028] For reference, the environmental threshold is usually a range value and evaluates whether the monitoring data collected by the sensor component is within the normal range. When the monitoring data exceeds the safe range, it is considered to be dangerous; when the monitoring data is within the environmental threshold, it means that the environment is normal and the early warning system does not need to intervene.

[0029] Among them, N is a natural number. Generally, the smaller the value of N, the lower the risk level tends to be. In the case of a low risk level, the deviation between the environmental data and the environmental threshold is small. Usually, the mine environment is in a low-risk state, and appropriate intervention by the early warning system is sufficient. When the value of N is larger, the deviation between the environmental data and the environmental threshold also increases, indicating that the degree of environmental danger is rising and immediate intervention is required. The sensor component can collect environmental data and compare the real-time collected environmental data with the environmental threshold to determine the current environmental state of the mine. Since the risk levels are set in an ordered chain, the high-risk level includes the risks of the low-risk level. Conversely, the main reason for adopting this risk framework is that environmental problems at the low-risk level may cause environmental problems at the medium-risk level, further leading to risks at the high-risk level.

[0030] S300 divides the radiation area into several functional areas and associates the functional areas with the N risk levels in the danger situation database; among them, each functional area will establish a data association with the risk levels in the danger situation database. When a certain sensor component detects an environmental data deviation, it can directly lock the corresponding functional area through the danger situation database and obtain relevant information to better determine the risk level of the functional area and the warning response accidents or risks associated with the risk level.

[0031] Among them, each level in the ordered chain should have a clear deviation range. By associating the functional areas with the N risk levels in the danger situation database and delimiting the mutual interference and influence of different working areas in the mine by dividing the radiation area, the divided functional areas will be associated with the risk levels in the danger situation database so that corresponding response measures can be taken according to the different importance of the functional areas when environmental anomalies occur.

[0032] The server configures Strategy A. The above-mentioned sensor component collects the environmental data of the working condition nodes in real time under Strategy A and uploads it to the server. The server compares the environmental data with the environmental threshold; if the environmental data is less than or equal to the environmental threshold, it indicates normal; when the environmental data exceeds the environmental threshold, it is regarded as an environmental anomaly event; calculate the deviation degree between the environmental data and the environmental threshold to determine the current risk level; the server calls the danger situation database to significantly mark and give an early warning to the functional area associated with the current risk level.

[0033] Among them, Strategy A is used to monitor the environmental data of each working condition node in real time and upload it to the server. After receiving the environmental data, the server will compare the environmental data collected by the sensor with the environmental threshold corresponding to the sensor. If the environmental data is less than or equal to the environmental threshold, it means that the current environment is normal and the system does not need to intervene.

[0034] When the environmental data exceeds the environmental threshold, it indicates that the environment has become abnormal. At this time, the server determines the current danger level. Based on the danger level, the server retrieves the information of the functional area associated with this danger level from the danger situation database and significantly marks this functional area. The significant marking can be directly reflected on the map model, or it can be sent to each terminal of the mine through the GIS system first, and visual prompts such as colors and icons are given on the system interface when necessary, so that the staff can understand the abnormal areas in the mine in the first time.

[0035] Based on the foregoing embodiments, another embodiment of the present invention is that when establishing the radiation area of the sensing point on the map model, the transmission power of the sensor component and the environmental noise spectral density are obtained, and the effective monitoring radius is obtained through the transmission attenuation formula; the server calls historical data and uses the Gaussian diffusion model to delimit the diffusion area of the gas. When the gas concentration in the diffusion area is determined to be the safety threshold, the safety boundary of the diffusion area is obtained, and the safety boundary is mapped on the map model to obtain the radiation area.

[0036] Using the transmission power of the sensor and the environmental noise spectral density to optimize the monitoring range can ensure the effective monitoring ability of the sensor in the complex environment of the mine. Usually, a safety threshold needs to be set for its sensor component. The safety threshold means that when a gas leakage event occurs, it will not cause harm to the mine workers and equipment at a certain gas concentration. Usually, the safety threshold is comprehensively determined according to the safety standards or regulations of the mine.

[0037] Secondly, for gas leakage events, it is also necessary to predict the scale and the corresponding safety boundary. By using a relatively safe experimental gas to simulate the scene during leakage, when it is predicted by the Gaussian diffusion model that the gas concentration reaches the safety threshold, the safety boundary of the gas diffusion area can be obtained.

[0038] Further, to calculate the effective monitoring radius of the sensor component, the following transmission attenuation formula is adopted: ; In the formula, R is the monitoring radius of the sensor component, Pt is the transmission power of the sensor component, d is the distance from the sensor component to the monitored target, and L is the path loss factor.

[0039] Further, when the server calls historical data and uses the Gaussian diffusion model to delimit the diffusion area of the gas, the following formula is adopted: ; In the formula, is the gas concentration at the coordinate position; is the release rate of the polluted gas during the predicted accident; V is the environmental wind speed during the predicted accident; among them, and are the diffusion parameters of the polluted gas in the horizontal and vertical directions, respectively, where y is the horizontal distance of the sensing point and z is the vertical height from the ground.

[0040] Among them, is the attenuation law of the gas concentration.

[0041] This method is mainly used to determine the safety threshold of the gas and draw the safety boundary, providing accurate monitoring data and decision-making basis for the safe production of the mine.

[0042] Based on the foregoing embodiments, another embodiment of the present invention is that when the server forms an order chain of N danger levels, the number N of adjacent danger levels is set, and the deviation degree of the lowest danger level is defined; the deviation degree of the next danger level is deduced through the deviation degree of the lowest danger level; among them, the formula for calculating the deviation degree of two adjacent danger levels is: ; In the formula, is the deviation degree of the Nth danger level, is the deviation degree of the (N - 1)th danger level, is the danger gain coefficient, is the change range of the environmental parameters; among them, the functional area corresponding to the Nth danger level covers the functional area corresponding to the (N - 1)th danger level. By applying multiple danger levels to the same functional area, if necessary, it is convenient to dynamically adjust the associated danger levels according to the actual deviation degree of the environmental data.

[0043] It should be noted that when the server forms an order chain of N danger levels, for the same sensor component, the data is usually collected at the same location, so the obtained environmental data is usually the relevant values of a specific location point. By gradually increasing the danger level through the deviation of the danger level for this relevant value, a demarcation of multiple continuously increasing critical thresholds can be formed; so that the recurrence relationship between danger levels can be defined by the above formula.

[0044] Based on the foregoing embodiments, another embodiment of the present invention is that when the server significantly marks and warns the functional area associated with the current danger level, the server establishes an evacuation passage in the map model, and the evacuation passage does not overlap with the significantly marked functional area. When the mine is designed and constructed, a certain passage is usually reserved for escape or refuge. In principle, this passage can be connected to the safe area or exit in the mine. When establishing the map model, it is marked with a specific color, so that the evacuation passage and other areas can be effectively distinguished.

[0045] When an abnormality occurs, obtain the evacuation path information on the channel, determine whether the path information overlaps with the significantly marked area, and determine the risk level of the overlapping area; and broadcast a prompt through the server. It should be noted that when the significantly marked area with a low risk level overlaps with the evacuation path, usually the staff makes a judgment on whether to still use the original evacuation path according to the situation. On the premise of retaining the original evacuation path, the server also needs to plan at least one evacuation route that does not overlap with the significantly marked area.

[0046] Based on the foregoing embodiments, another embodiment of the present invention is that, in order to better facilitate the staff to control during evacuation and there may be potential risks, when the server significantly marks the functional area, it determines whether there is a difference between the current risk level and the maximum risk level; when there is a difference, the server highlights the functional area of the next risk level, determines whether the evacuation passage overlaps with the highlighted functional area, and if the evacuation passage overlaps with the highlighted functional area, re-plan the evacuation passage.

[0047] Same as the foregoing embodiments, the staff can choose to still pass through the highlighted functional area (without risk for the time being) according to the original path, or judge whether there is a time difference risk that the highlighted functional area becomes a significantly marked area based on the current environment where the staff is located.

[0048] Further, when the server re-plans the evacuation passage, it obtains the safe area from the map model, calls the shortest path algorithm to plan the path from the safe area, and the above-mentioned planned path is sent by the server to the mobile devices of the staff in the form of broadcast.

[0049] The present invention also provides an embodiment, which is an early warning system. The system includes a sensor component, an alarm device, a local machine and a server. The above-mentioned server is used to execute the foregoing mine safety production monitoring and early warning method; wherein, the local machine interacts with the server in terms of signals. The local machine stores the channel map of the mine and receives the map model sent by the server. When the local machine receives the map model, it maps the position of the sensor component on the map model as a perception point and feeds it back to the server; wherein, the local machine is signal-connected to the sensor component, and the local machine obtains the environmental data collected in real time by the sensor component deployed at the mine working condition node and sends it to the server. Among them, the alarm device is signal-connected to the local machine. When the server gives an early warning, it sends a linkage signal to the local machine, and the local machine starts the alarm device according to the linkage signal.

[0050] Among them, the sensor component is responsible for collecting the environmental data of each working condition node in the mine. When the sensor detects that the environmental data exceeds the preset safety threshold and triggers an alarm, the alarm device will be triggered to emit sound, light signals or notify the mine workers in other ways. The alarm device can be existing equipment, and the working mode of the alarm device can be to remind the mine workers of the current environmental anomaly through alarms, flashing lights, etc. Since the alarm device is connected to the server, it can respond in a timely manner when a dangerous area occurs according to the instructions of the server, ensuring that the workers can know the danger and take actions immediately.

[0051] Furthermore, the above-mentioned sensor component at least includes a gas sensor and other sensors, and the other sensors include one or more of a temperature and humidity sensor, a pressure sensor, and a vibration sensor. The gas sensor is mainly because the airflow risk is the greatest in the mine environment, and the other sensors including the temperature and humidity sensor, the pressure sensor, and the vibration sensor are mainly used to obtain other risk factors. So that the server can perform anomaly identification based on historical data.

[0052] For reference, the temperature and humidity sensor can monitor the temperature and humidity changes in the mine. This is for preventing safety accidents caused by abnormal temperature and humidity. In principle, when the gas sensor detects an anomaly, the server needs to access the data of other sensors, determine the abnormal functional area through the danger situation database, and access the data of other sensors in the abnormal functional area. Then generate a trend chart according to the time sequence, identify the area with the most significant changes in the trend chart, and synchronize the relevant data to the workers or maintenance personnel, so as to better judge whether there are other danger situations in the abnormal functional area. Thus, comprehensively judge whether to carry out emergency repairs. Avoid misjudging the emergency repairs due to other reasons.

[0053] For example, deep in the mine, if the temperature and humidity sensor detects a sharp rise in temperature and an abnormal decrease in humidity, this may indicate the occurrence of a fire. At this time, the server will immediately access the data of the gas sensors in this area, such as oxygen concentration, carbon monoxide concentration, etc., and analyze whether there is a fire risk in combination with historical fire data. At the same time, the server will also generate a trend chart of these key parameters, paying special attention to the change trends of temperature, humidity, and harmful gas concentration. If the trend chart shows that these parameters have changed significantly in a short period of time, the system will automatically synchronize the relevant data to the workers and maintenance personnel, reminding them to take immediate countermeasures, such as starting the emergency evacuation procedure, starting the fire-fighting equipment, etc.

[0054] In this way, the mine safety production monitoring and early warning system can achieve comprehensive monitoring of the environmental data in the mine, timely detect and warn of potential safety risks. Staff can quickly make judgments and take actions based on the detailed data and analysis results provided by the system, thus effectively avoiding the occurrence of safety accidents and ensuring the life safety of mine workers and the smooth progress of mine production.

[0055] If there are descriptions involving "first", "second", etc. in the embodiments of the present invention, such descriptions of "first", "second", etc. are only for descriptive purposes and should not be construed as indicating or implying their relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first", "second" may explicitly or implicitly include at least one of such features. Additionally, the meaning of "and / or" appearing throughout the text includes three parallel scenarios. Taking "A and / or B" as an example, it includes Scenario A, or Scenario B, or the scenario where both A and B are satisfied simultaneously. Moreover, the technical solutions between various embodiments can be combined with each other, but it must be based on the ability of those of ordinary skill in the art to implement. When the combination of technical solutions results in contradictions or inability to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention. It should be understood that in various embodiments of the present invention, the magnitude of the sequence numbers of the above processes does not imply the order of execution, and the order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0056] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described systems, systems, and units can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0057] In several embodiments provided by the present invention, it should be understood that the disclosed systems, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the system or unit can be in electrical, mechanical, or other forms.

[0058] As described above, this is only a specific implementation manner 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 can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the above-mentioned claims.

Claims

1. A mine production safety monitoring and early warning method, characterized in that: The method comprises the following steps: Obtain the mine channel map and establish a map model, deploy sensor components to the mine working nodes; map the locations of sensor components as sensing points on the map model; and establish the radiation area of ​​the sensing points on the map model; The server establishes a danger database and presets the environmental threshold of each sensor component; uses the sensing point in the danger database as an identity, matches the environmental threshold for each identity, and sets N danger levels according to the degree of deviation of the environmental threshold to form a sequence chain; where N ≥ 3, and N is an integer; The radiation area is divided into several functional areas, and the functional areas are associated with N danger levels in the danger database; the server is configured with strategy A, and the sensor component collects environmental data of the working condition node in real time under strategy A and uploads it to the server, and the server compares the environmental data with the environmental threshold; If the environmental data is less than or equal to the environmental threshold, it is normal; when the environmental data exceeds the environmental threshold, it is regarded as an abnormal environmental event; the degree of deviation between the environmental data and the environmental threshold is calculated to determine the current danger level; the server calls the hazard database to prominently mark the functional areas associated with the current danger level and issue an alert.

2. The mine production safety monitoring and early warning method according to claim 1 is characterized by: When establishing the radiation area of ​​the sensing point on the map model, the transmission power and environmental noise spectral density of the sensor component are obtained, and the effective monitoring radius is obtained through the transmission attenuation formula; the server calls historical data and uses the Gaussian diffusion model to delineate the diffusion area of ​​the gas. When the gas concentration in the diffusion area is determined to be a safety threshold, the safety boundary of the diffusion area is obtained, and the safety boundary is mapped on the map model to obtain the radiation area.

3. The mine production safety monitoring and early warning method according to claim 2 is characterized in that: To calculate the effective monitoring radius of the sensor assembly, the following transmission attenuation formula is used: ； Where R is the monitoring radius of the sensor component, Pt is the transmission power of the sensor component, d is the distance from the sensor component to the monitored target, and L is the path loss factor.

4. The mine production safety monitoring and early warning method according to claim 2 is characterized in that: The server calls historical data and uses the Gaussian diffusion model to define the diffusion area of ​​the gas using the following formula: ； In the formula, is the gas concentration at the coordinate position, is to predict the release rate of polluted gas during an accident, V is the ambient wind speed during the accident, and are the diffusion parameters of polluted gas in the horizontal and vertical directions, y is the horizontal distance of the sensing point, and z is the vertical height from the ground; is the decay law of gas concentration.

5. The mine production safety monitoring and early warning method according to claim 1 is characterized by: When the server forms a sequence chain of N danger levels, the number N of adjacent danger levels is set, and the deviation degree of the minimum danger level is defined; the deviation degree of the next danger level is calculated by the deviation degree of the minimum danger level; wherein the formula for calculating the deviation degree of two adjacent danger levels is: ； In the formula, is the deviation degree of the Nth hazard level, is the deviation degree of the N-1th hazard level, is the risk gain coefficient, is the variation range of environmental parameters; Among them, the functional area corresponding to the Nth hazard level covers the functional area corresponding to the N-1Nth hazard level.

6. The mine production safety monitoring and early warning method according to claim 1 is characterized by: When the server prominently marks and issues an early warning for a functional area associated with the current danger level, the server establishes an evacuation channel in the map model, and the evacuation channel does not overlap with the prominently marked functional area.

7. The mine production safety monitoring and early warning method according to claim 6 is characterized by: When the server prominently marks the functional area, it determines whether there is a difference between the current danger level and the maximum danger level; when there is a difference, the server highlights the functional area of ​​the next danger level and determines whether the evacuation channel overlaps with the highlighted functional area. If the evacuation channel overlaps with the highlighted functional area, the evacuation channel is replanned.

8. The mine production safety monitoring and early warning method according to claim 7 is characterized by: When replanning the evacuation channel, the server obtains the safe area from the map model, calls the shortest path algorithm to plan the path from the safe area, and the planned path is broadcasted by the server to the mobile devices of the staff.

9. An early warning system, characterized in that: The system includes a sensor component, an alarm device, a local machine and a server, wherein the server is used to execute the mine safety production monitoring and early warning method described in any one of claims 1 to 8; wherein the local machine interacts with the server signal, the local machine stores the channel map of the mine and receives the map model issued by the server, and when the local machine receives the map model, the position of the sensor component is mapped as a perception point on the map model and fed back to the server; wherein the local machine is connected to the sensor component signal, the local machine obtains the real-time environmental data collected by the sensor component deployed at the mine working condition node and sends it to the server; wherein the alarm device is connected to the local machine signal, and the server sends a linkage signal to the local machine when issuing an alarm, and the local machine activates the alarm device according to the linkage signal.

10. The early warning system according to claim 9, characterized in that: The sensor assembly includes at least a gas sensor and other sensors, and the other sensors include one or more of a temperature and humidity sensor, a pressure sensor, and a vibration sensor.

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