Coal mine safety risk analysis and assessment methods, equipment and media

Abstract

The present invention relates to the field of coal mine safety risk analysis, and in particular to a method, device, and medium for coal mine safety risk analysis and assessment. The method comprises: obtaining a first risk source corresponding to a first historical safety risk information in a historical safety risk information database; determining the dangerous situation state at the time of risk occurrence and the state after the dangerous situation is eliminated based on the risk recording time corresponding to the first risk source; determining a data update method based on a data collection method corresponding to the dangerous situation state; using the data update method to determine the real-time state and historical state of the first risk source, wherein the historical state is generated based on the data update method and the generated event is later than the time point when the dangerous situation is eliminated; and determining whether the current safety risk level of the risk source has deteriorated based on the real-time state and historical state of the first risk source. This solves the problem of identifying hidden dangers in mines and recurring safety risks.

Description

Technical Field

[0001] The present invention relates to the field of coal mine safety risk analysis, and in particular to a coal mine safety risk analysis and judgment method, equipment and medium. Background Art

[0002] The coal mining industry is a high-risk industry. According to incomplete statistics from relevant departments, a large proportion of coal mine safety accidents are caused by historical safety hazards and recurring safety risks in the same area.

[0003] In the existing technology, the investigation of mine safety hazards often stays on surface issues such as equipment aging, supporting structures, mine car routes and mine dust, and pays less attention to the correlation between various problems, resulting in incomplete hazard investigation and the recurrence of safety risks in the areas that have been investigated. Summary of the Invention

[0004] To address the issues of mine hidden danger detection and recurrence of safety risks, at least one aspect and advantage of the present invention will be partially described in the following description, or may be obvious from the description, or may be obtained by practicing the subject matter of the present disclosure.

[0005] According to a first aspect of the present invention, a method for analyzing and assessing coal mine safety risks comprises:

[0006] Obtaining a first risk source corresponding to first historical safety risk information in a historical safety risk information database, and determining a dangerous situation state at the time of risk occurrence and a dangerous situation state after the risk is eliminated based on the risk recording time corresponding to the first risk source;

[0007] Determine the data update method based on the data collection method corresponding to the dangerous situation;

[0008] Determine the real-time status and historical status of the first risk source using a data update method, wherein the historical status is generated based on the data update method and the generated event is later than the time point when the risk is eliminated, and the historical status is obtained based on sampling of historical data of the first risk source, and the sampling window is determined based on the distribution information of the recurrence of the safety risk;

[0009] It is determined whether a current security risk level of the risk source has deteriorated based on the real-time state and the historical state of the first risk source.

[0010] According to one embodiment of the present invention, the historical security risk information database is constructed as follows:

[0011] Conduct risk factor analysis on penalty cases and build historical safety risk information;

[0012] The associations and risk categories of risk factors formed during the evolution of penalty cases are marked to determine the level, risk source, hazard status, hazard elimination status, and data source used to judge safety risks of historical safety risk information. Hotspots are marked corresponding to the hazard status and the status after hazard elimination. The hotspot markings are used to indicate risk rectification results or safety risks.

[0013] Verify the data sources used to determine security risks;

[0014] Include historical security risk information in the database.

[0015] According to one embodiment of the present invention, the data updating method is determined as follows:

[0016] Determine the type of the data source and the spatial location of the risk source based on the data source used to determine the security risk corresponding to the first historical security risk information;

[0017] Determine, based on the spatial location of the first risk source and the type of data source, an IoT device disposed in the lane where the risk source is located, and the output of the IoT device satisfies the configuration of the data source used for determining the safety risk;

[0018] Determine how data is updated based on IoT devices.

[0019] According to one embodiment of the present invention, recurring security risk information associated with historical security risk information is determined based on an association relationship among risk factors.

[0020] According to one embodiment of the present invention, the process of determining the retransmission of security risk information includes:

[0021] Determining, based on the association relationship between the risk factors corresponding to the first historical security risk information, a second risk category associated with the risk category to which the first historical security risk belongs;

[0022] The historical safety risk information whose risk occurrence time is obtained after the risk of the first historical safety risk information is eliminated and whose risk category includes the second risk category is obtained as the recurring safety risk information.

[0023] According to one embodiment of the present invention, the data updating method is determined as follows:

[0024] Determine the type of data source based on the type of historical security risk information;

[0025] Determine the lane where the risk source is located based on the risk source corresponding to the historical safety risk information;

[0026] An IoT device is selected based on the output results of the IoT device in the lane where the risk source is located, and the output of the IoT device covers the risk source;

[0027] Determine how data is updated based on IoT devices.

[0028] According to one embodiment of the present invention, the sampling window is determined as follows:

[0029] Obtain the risk category to which the historical safety risk information belongs, and determine the first time interval based on the average frequency of safety risk occurrence after the dangerous situation under the risk category is eliminated;

[0030] Obtain the risk source corresponding to the historical safety risk information, and determine the second time interval based on the time when the safety risk first occurs at the risk source after the dangerous situation is eliminated;

[0031] The smaller value of the first time interval and the second time interval is taken as the sampling window.

[0032] According to an embodiment of the present invention, when calculating the second time interval, the risk level of the security risk that occurs for the first time is not higher than the risk level of the first historical security risk information.

[0033] According to a second aspect of the present invention, an electronic device includes a processor and a memory; the memory is used to store a program; the processor executes the program to implement the coal mine safety risk analysis and assessment method described in the first aspect.

[0034] According to a third aspect of the present invention, a computer-readable storage medium stores a program, and the program is executed by a processor to implement the coal mine safety risk analysis and assessment method described in the first aspect.

[0035] The beneficial effects of the present invention are as follows: through the above-mentioned coal mine safety risk analysis and judgment method, a more comprehensive investigation or a more refined approach can be selected according to the specific situation. Based on the analysis of various risk factors and the correlation between risk factors, the safety risk hazards of the mine can be effectively investigated and the probability of recurrence of safety risks can be determined, thereby reducing the occurrence of safety accidents and the probability of recurrence of safety risks. The safety of workers is protected and the economic losses and harm caused by accidents are avoided. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A flow chart showing the coal mine safety risk analysis and assessment method. DETAILED DESCRIPTION

[0037] The present disclosure will now be discussed with reference to several exemplary embodiments. It should be understood that these embodiments are discussed only to enable those skilled in the art to better understand and implement the present disclosure, rather than to imply any limitation on the scope of the present disclosure.

[0038] As used herein, the term "including" and its variations are to be interpreted as open-ended terms meaning "including, but not limited to." The term "based on" is to be interpreted as "based, at least in part, on." The terms "one embodiment" and "an embodiment" are to be interpreted as "at least one embodiment." The term "another embodiment" is to be interpreted as "at least one other embodiment." Terms such as "upper," "lower," "left," "right," "front," "back," "top," "bottom," "inner," "outer," "vertical," "horizontal," "transverse," and "longitudinal" indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings. These terms are primarily intended to better describe the present application and its embodiments and are not intended to limit the devices, elements, or components indicated to having a specific orientation, or to being constructed and operated in a specific orientation. Furthermore, some of the above terms may be used to indicate other meanings besides orientation or positional relationships. For example, the term "on" may, in certain circumstances, be used to indicate a dependency or connection relationship. Those skilled in the art will understand the specific meanings of these terms in this application based on the specific circumstances. Furthermore, the terms "installed," "disposed," "provided with," "connected," and "connected" are to be interpreted broadly. For example, it can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection or an electrical connection; it can be a direct connection, an indirect connection through an intermediate medium, or an internal connection between two devices, elements, or components. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to the specific circumstances. In addition, the terms "first", "second", etc. are mainly used to distinguish different devices, elements, or components (the specific types and structures may be the same or different), and are not used to indicate or imply the relative importance or quantity of the indicated devices, elements, or components. Unless otherwise specified, "plurality" means two or more.

[0039] According to one embodiment of the present invention, a method for analyzing and assessing coal mine safety risks includes the following steps:

[0040] Obtaining a first risk source corresponding to first historical safety risk information in a historical safety risk information database, and determining a dangerous situation state at the time of risk occurrence and a dangerous situation state after the risk is eliminated based on the risk recording time corresponding to the first risk source;

[0041] Determine the data update method based on the data collection method corresponding to the dangerous situation;

[0042] Determine the real-time status and historical status of the first risk source using a data update method, wherein the historical status is generated based on the data update method and the generated event is later than the time point when the risk is eliminated, and the historical status is obtained based on sampling of historical data of the first risk source, and the sampling window is determined based on the distribution information of the recurrence of the safety risk;

[0043] It is determined whether a current security risk level of the risk source has deteriorated based on the real-time state and the historical state of the first risk source.

[0044] The coal mine safety risk analysis and assessment method of the present invention includes several modules. In order to better understand the coal mine safety risk analysis and assessment method of the present invention, a brief introduction to the platform system is given in advance.

[0045] Basic information module: responsible for collecting mine-related information and storing the data in the mine information database through the data interface. Information collection includes: collecting mine dynamic information from the mine report information system through the mine-side safety risk analysis and judgment system management tool or mobile terminal, and collecting basic fixed information from the single-line electronic ledger system. Relevant data is collected from the comprehensive display module, risk classification module, hidden danger investigation and control module, auxiliary statistical analysis module, and auxiliary query function module, including: data uploaded by underground Internet of Things devices and data collected by manual reporting;

[0046] Data storage module: responsible for collecting data uploaded by the basic information module and other modules, and storing the collected data in the mine information database after structuring and sorting, and classifying and summarizing the relevant data entered and collected; the mine information database includes: mine structure information database, mine basic information database, mine Internet of Things equipment information database, mine organization information database, mine professional work information database, underground Internet of Things equipment upload database, and manually reported data information database;

[0047] Comprehensive display module: including large-screen display function, displaying contents including: mine basic information, mine personnel information, mine risk situation, mine hidden danger information, mine monitoring data, underground tunnel ventilation oxygen content, underground gas concentration, and comprehensive alarm data;

[0048] Risk classification module: Classifies mine risks and implements mine risk early warning; classifies and displays risks through the comprehensive display module and mine report information system, adopts three-level risk analysis and control for risk classification; realizes the linkage early warning of multiple hazard sources for high-risk areas, hidden dangers and accidents;

[0049] Hidden danger investigation and control module: includes hidden danger closed-loop management, realizing hidden danger analysis, hidden danger risk control, hidden danger investigation, reporting, processing, rectification, and archiving management; realizing the collection, classification, statistics, control, monitoring, and query of hidden dangers;

[0050] Auxiliary statistical function module: Based on the data from the risk classification module and hidden danger investigation and control module, it conducts statistical analysis on various risks, hidden dangers, personnel locations, entry time, number of entries, underground vehicles, and facilities in the mine, and displays information and data in real time;

[0051] Auxiliary query function module: realizes the query of mine report information, mine hidden danger investigation and treatment information, fully mechanized mining, excavation and excavation replacement plan information of heading working face, underground vehicle information, underground tunnel information, underground equipment location information, surface organization information, and underground professional workers;

[0052] Data association module: Through data analysis, the mine business system is combined with the coal mine safety risk analysis and judgment system, and the safety risk analysis and judgment system is associated with the data to achieve risk early warning control, closed-loop management of hidden dangers, and real-time information analysis and display;

[0053] Permission management module: manage all functions in the coal mine safety risk analysis and assessment system through login and log functions; functional permissions are allocated to mine and department levels, including: viewing, reporting, analysis, query, etc.; personal permissions are set to teams and individuals, including viewing, analysis, and query; when allocating personal permissions, permissions are bound to mine and department-level users, and permissions for teams and below are dynamically generated; personal permissions include: viewing, analysis, and query.

[0054] In this embodiment, the coal mine safety risk analysis and assessment method is applied in multiple modules and includes the following steps: First, a first historical safety risk source is obtained from the safety risk information database, and the dangerous state at the time of risk occurrence and the dangerous state after the risk is eliminated are divided according to the time corresponding to the first risk source; second, the update method of the information data in the safety risk information database is determined according to the data collection method corresponding to the dangerous state; third, the real-time status and historical status of the first risk source are determined according to the data update method; finally, based on the real-time status and historical status of the first risk source, whether the current safety level has deteriorated, that is, whether the risk source has a higher risk, is determined.

[0055] Specifically, the coal mine safety risk analysis and assessment method of the present invention can effectively identify the current status of risk sources that have already caused safety risk events, determine the current safety level of the risk sources, and predict the probability of safety risk events occurring again at the current risk sources through the collection and organization of mine hidden danger investigation and control information, which serves as the information basis for the formulation of prevention strategies.

[0056] Specifically, the safety risk information database is stored in the data storage module. The database collects data information of mines that have had safety risks in the past, including at least the mine location coordinate information, the time when the safety risk occurred, the safety risk level, the mine's Internet of Things device information, etc. The first risk source is obtained according to demand. The first risk source is the source of the risk corresponding to the first historical safety risk information. First, based on the corresponding records of the first risk source, such as the time when the risk occurred, the risk category, the state of the hazard when the risk occurred, and the state after the hazard was eliminated. For example: when the hazard is a fire, the relevant risk source records should at least include the time of occurrence, the location of occurrence, the fire level, the scope of the fire, the dust concentration in the tunnel, the cable condition (ageing degree), the combustible material condition, the fire extinguishing equipment condition, the electrical equipment condition and other fire-related factors, and use these factors as various parameters of the hazard state when the risk occurs.

[0057] Specifically, data update methods refer to different risk sources located in different laneways, and the IoT devices used to collect safety risk-related data will also vary. Consequently, different information transmission methods and data update methods will exist. Furthermore, hardware device updates can also cause interface changes, which in turn can lead to changes in input sources. Therefore, determining the data update method sometimes requires manual intervention and screening, resulting in different methods for determining data updates.

[0058] Specifically, the real-time and historical status of the first risk source are determined based on the data update method. The historical status is obtained by sampling the historical data of the first risk source based on the data update method. The occurrence time of the historical event is later than the time when the risk is eliminated, and the sampling window is determined based on the distribution information of the recurrence of security risks. With a clearer historical status of the first risk source, the historical status of the subject, the occurrence time, and the data sampling time are clearly clarified.

[0059] Specifically, the branch comparison between the real-time status and the historical status is determined according to the system's preset method, and then combined with the historical trend to determine whether the risk source has deteriorated, that is, to determine whether the risk source has improved after the post-incident governance, and whether the probability of risk recurrence has decreased.

[0060] According to one embodiment of the present invention, the historical security risk information database is constructed as follows:

[0061] Conduct risk factor analysis on penalty cases and build historical safety risk information;

[0062] The associations and risk categories of risk factors formed during the evolution of penalty cases are marked to determine the level, risk source, hazard status, hazard elimination status, and data source used to judge safety risks of historical safety risk information. Hotspots are marked corresponding to the hazard status and the status after hazard elimination. The hotspot markings are used to indicate risk rectification results or safety risks.

[0063] Verify the data sources used to determine security risks;

[0064] Include historical security risk information in the database.

[0065] In this embodiment, the construction method of the security risk information database is introduced. First, the risk factor analysis of the penalty case is carried out to form historical security risk information. Secondly, the risk factor correlation relationship and risk category formed in the evolution of the penalty case are expressed, and the level of historical security risk information, risk source, hazard status, hazard elimination status and data source used to judge security risks are determined through the correlation between different risk factors and the category to which the risk factors belong; and hot zone marking is performed according to the status of the same area when the hazard occurs and the status after the hazard is eliminated. Finally, the data source used to judge security risks is verified. If the data source meets the system requirements, the historical security risk information is placed in the database.

[0066] Specifically, the correlation of risk factors refers to the correlation between different risk factors. For example, a fire may be caused by an inadequate inspection of a fire extinguisher during a vehicle inspection; a mechanical equipment failure may cause a blockage in the bio-pond's exhaust pipe, leading to a sudden increase in the level of combustible gas in the area; forgetting to wear a safety helmet may lead to falling debris and head injuries. When determining the level of safety risk information, risk sources, and dangerous situation status, the correlation of risk factors needs to be considered. For example, if a risk factor is associated with many other risk factors, its risk level should be increased accordingly. For another example, if a risk factor is associated with another risk factor with a very high risk level, its risk level should also be increased accordingly. Furthermore, the correlation of risk factors will directly affect the dangerous situation at the time of the occurrence of the dangerous situation.

[0067] Specifically, penalty cases refer to existing safety incidents, ranging from minor ones such as injuries caused by failure to wear a hard hat, failure to take appropriate protective measures when entering a hazardous area, and failure to conduct appropriate inspections before work. They also include major ones such as fires, gas explosions, and equipment operation problems that resulted in serious injuries.

[0068] Specifically, hotspot markings are used to highlight risk remediation results or safety risks. This means comparing the status of an area where a dangerous situation occurred with the status of the same area after the situation has been resolved. This allows us to focus on areas where dangerous situations may recur, also known as hotspots, and indicate that these areas present certain safety risks and require safety rectification.

[0069] According to one embodiment of the present invention, the data updating method is determined as follows:

[0070] Determine the type of the data source and the spatial location of the risk source based on the data source used to determine the security risk corresponding to the first historical security risk information;

[0071] Determine, based on the spatial location of the first risk source and the type of data source, an IoT device disposed in the lane where the risk source is located, and the output of the IoT device satisfies the configuration of the data source used for determining the safety risk;

[0072] Determine how data is updated based on IoT devices.

[0073] This embodiment introduces a method for determining a data update method. First, based on the data source used to determine security risks, the data source type and spatial location of the risk source are determined. Second, based on the spatial location and data source type of the first risk source, the IoT device within the lane where the first risk source is located is determined. Finally, the data update method is determined based on the IoT device.

[0074] Specifically, many types of IoT devices are used for mine safety risk investigations, including roadway inspection robots, substation inspection robots, inspection drones, high-definition cameras, dust concentration sensors, gas detection equipment, and fluorescent markers. Data transmission and update methods vary depending on the IoT device. Some devices transmit data via wired cables, including cables and fiber optics, others transmit data periodically via wireless communication, and others collect data regularly via drone inspections. Therefore, the type and spatial location of the data source can be used to identify the IoT devices within the roadway.

[0075] Specifically, the output of the IoT device meets the configuration of the data source used to determine security risks. The IoT devices in the lane are not unique, and some IoT devices whose output does not meet the conditions need to be excluded.

[0076] Specifically, the key to determining the data update method through this method is to identify the IoT device. By judging the data source used for security risks, the type of data source and the spatial location of the risk source are determined for matching with the IoT device, which can more accurately locate the IoT device corresponding to the risk source.

[0077] According to one embodiment of the present invention, the recurring security risk information associated with the historical security risk information is determined based on the association relationship of the risk factors. According to one embodiment of the present invention, the process of determining the recurring security risk information includes:

[0078] Determining, based on the association relationship between the risk factors corresponding to the first historical security risk information, a second risk category associated with the risk category to which the first historical security risk belongs;

[0079] The historical safety risk information whose risk occurrence time is obtained after the risk of the first historical safety risk information is eliminated and whose risk category includes the second risk category is obtained as the recurring safety risk information.

[0080] This embodiment describes the process for determining recurring security risk information. Based on the correlation between risk factors corresponding to the first historical security risk information, a second risk category associated with the risk category to which the risk event belongs is determined. Then, risk events that occurred after the risk event and whose risk category includes the second risk category are considered recurring security risk information.

[0081] Specifically, recurring safety risk information is associated with historical safety risk information and is confirmed based on the correlation between risk factors. Recurring safety risk information must meet two conditions: first, it must occur after the historical safety risk information has resolved, and second, its risk category must include the second risk category.

[0082] Specifically, the second risk category is determined based on the risk category of the first historical security risk information and the association relationship between the risk factors corresponding to the first historical security risk information.

[0083] Specifically, by identifying recurring security risk information through the above method, targeted preventative measures can be developed based on the identified recurring security risk information, thereby reducing the likelihood and severity of the risk. Recurring security risk information can also be continuously monitored to promptly identify new risk factors or changes in risk categories, and this data can be incorporated into a historical database to enrich the types of security risk information in the database.

[0084] According to one embodiment of the present invention, the data updating method is determined as follows:

[0085] Determine the type of data source based on the type of historical security risk information;

[0086] Determine the lane where the risk source is located based on the risk source corresponding to the historical safety risk information;

[0087] An IoT device is selected based on the output results of the IoT device in the lane where the risk source is located, and the output of the IoT device covers the risk source;

[0088] Determine how data is updated based on IoT devices.

[0089] This embodiment introduces another method for determining data update methods. First, the data source type is determined based on the type of historical security information. Second, the lane where the risk source is located is determined based on the risk source corresponding to the historical security information. Finally, an IoT device is selected based on the output of the IoT device in the lane where the risk source is located, and the data update method is determined based on the IoT device.

[0090] Specifically, in the method for determining the data update method of this embodiment, the lane where the data source is located is determined through historical security risk information, and then the output results of the Internet of Things device in the lane are matched with the type of data source to determine the Internet of Things device corresponding to the historical security risk information. The data update method can be determined based on the Internet of Things device.

[0091] Specifically, when a hardware device is updated or replaced, it is impossible to determine the updated hardware device directly through the original data type and the location of the device. Therefore, manual screening must be performed first to obtain the data source type of the new hardware device and the information of the lane where it is located in order to determine the data update method.

[0092] Specifically, when selecting IoT devices, the output of the selected IoT devices should also cover the risk sources.

[0093] Specifically, the method for determining data update methods in this embodiment is more universal. Based on historical security risk information in the database, it is used to determine the type of data source and the location of the risk source. Based on the location, the corresponding IoT devices are screened. Then, the data source type is used for matching, which allows for a more comprehensive screening of IoT devices and avoids omissions.

[0094] According to one embodiment of the present invention, the sampling window is determined as follows:

[0095] Obtain the risk category to which the historical safety risk information belongs, and determine the first time interval based on the average frequency of safety risk occurrence after the dangerous situation under the risk category is eliminated;

[0096] Obtain the risk source corresponding to the historical safety risk information, and determine the second time interval based on the time when the safety risk first occurs at the risk source after the dangerous situation is eliminated;

[0097] The smaller value of the first time interval and the second time interval is taken as the sampling window.

[0098] According to an embodiment of the present invention, when calculating the second time interval, the risk level of the security risk that occurs for the first time is not higher than the risk level of the first historical security risk information.

[0099] This embodiment describes how to determine the sampling window. First, the category of historical security risk information is obtained. The first time interval is determined based on the average frequency of security risks after the risk of that category has been eliminated. Then, the risk source corresponding to the historical security risk information is obtained. The second time interval is determined based on the time when the first security risk of that risk source occurred after the risk has been eliminated. Finally, the first and second time intervals are compared, and the smaller value is used as the sampling window.

[0100] Specifically, the amount of data in mines is enormous, making screening difficult. Continuous screening consumes resources and is more prone to missed samples. Therefore, properly setting the sampling window is particularly important for cost control.

[0101] Specifically, in most cases, after a serious risk has been eliminated, the risk level of a recurring risk at the same location is lower. Considering only historical safety risk information at or above the first occurrence level may result in omissions. Therefore, a comparison should be made with the first interval determined by the average frequency of occurrence of that type of risk.

[0102] In addition, selecting the smaller value of the first time interval and the second time interval can also ensure the integrity of a sampling cycle to the greatest extent, avoiding interruptions by various other emergencies, thereby reducing the cost of sampling while ensuring the integrity of the data source. Specifically, the first time interval is determined by the average frequency of safety risks after the elimination of the risk of a type of risk source, and the second time interval is the interval between the first occurrence of a safety risk of the risk source after the elimination of the risk and the last occurrence. By taking the smaller value of the minimum frequency of the risk source of this type and the time interval between the risk source and the last occurrence of the risk, the effective time of the sampling window can be minimized, thereby ensuring as much as possible that no time point where a risk may occur is missed.

[0103] According to a second aspect of the present invention, an electronic device includes a processor and a memory; the memory is used to store a program; the processor executes the program to implement the coal mine safety risk analysis and assessment method described in the first aspect.

[0104] According to a third aspect of the present invention, a computer-readable storage medium stores a program, and the program is executed by a processor to implement the coal mine safety risk analysis and assessment method described in the first aspect.

[0105] The beneficial effects of the present invention are as follows: through the above-mentioned coal mine safety risk analysis and judgment method, a more comprehensive investigation or a more refined approach can be selected according to the specific situation. Based on the analysis of various risk factors and the correlation between risk factors, the safety risk hazards of the mine can be effectively investigated and the probability of recurrence of safety risks can be determined, thereby reducing the occurrence of safety accidents and the probability of recurrence of safety risks. The safety of workers is protected and the economic losses and harm caused by accidents are avoided.

[0106] The above description is merely a preferred embodiment of the present application and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of the invention herein is not limited to technical solutions formed by a specific combination of the aforementioned technical features, but also encompasses other technical solutions formed by any combination of the aforementioned technical features or their equivalents without departing from the inventive concept. For example, a technical solution formed by replacing the aforementioned features with (but not limited to) technical features with similar functions disclosed in this application.

[0107] It should be understood that the size of the sequence numbers of the steps in the content of the invention and the embodiments of the present invention does not absolutely mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention. For the purpose of example and description, the above description of the implementation of the present disclosure has been given. The above description is not exhaustive and is not intended to limit the present disclosure to the exact form disclosed. Various variations and modifications may exist based on the above teachings, or various variations and modifications may be obtained from the practice of the present disclosure. These embodiments are selected and described to illustrate the principles of the present disclosure and its practical application, so that those skilled in the art can utilize the present disclosure in various embodiments and various modifications suitable for the specific purpose conceived. Those of ordinary skill in the art will understand that the above-mentioned embodiments are specific cases for implementing the present disclosure, and in actual application, various changes can be made to them in form and detail without departing from the spirit and scope of the present disclosure.

Claims

1. A method for analyzing and assessing coal mine safety risks, characterized in that: The method includes: Obtaining a first risk source corresponding to first historical safety risk information in a historical safety risk information database, and determining a dangerous situation state at the time of risk occurrence and a dangerous situation state after the risk is eliminated based on the risk recording time corresponding to the first risk source; Determine the data update method based on the data collection method corresponding to the dangerous situation; Determine the real-time status and historical status of the first risk source using a data update method, wherein the historical status is generated based on the data update method and the generated event is later than the time point when the risk is eliminated, and the historical status is obtained based on sampling of historical data of the first risk source, and the sampling window is determined based on the distribution information of the recurrence of the safety risk; Determining whether a current security risk level of the risk source has deteriorated based on the real-time status and historical status of the first risk source; The historical security risk information database is constructed as follows; Conduct risk factor analysis on penalty cases and build historical safety risk information; The associations and risk categories of risk factors formed during the evolution of penalty cases are marked to determine the level, risk source, hazard status, hazard elimination status, and data source used to judge safety risks of historical safety risk information. Hotspots are marked corresponding to the hazard status and the status after hazard elimination. The hotspot markings are used to indicate risk rectification results or safety risks. Verify the data sources used to determine security risks; Include historical safety risk information in the database; The data updating method is determined as follows: Determine the type of the data source and the spatial location of the risk source based on the data source used to determine the security risk corresponding to the first historical security risk information; Determine, based on the spatial location of the first risk source and the type of data source, an IoT device disposed in the lane where the risk source is located, and the output of the IoT device satisfies the configuration of the data source used for determining the safety risk; Determine how data is updated based on IoT devices.

2. The coal mine safety risk analysis and judgment method according to claim 1, characterized in that: Recurring safety risk information associated with historical safety risk information is determined based on the correlation relationship between risk factors.

3. The coal mine safety risk analysis and judgment method according to claim 2, characterized in that: The process for determining recurring security risk information includes: Determining, based on the association relationship between the risk factors corresponding to the first historical security risk information, a second risk category associated with the risk category to which the first historical security risk belongs; The historical safety risk information whose risk occurrence time is obtained after the risk of the first historical safety risk information is eliminated and whose risk category includes the second risk category is obtained as the recurring safety risk information.

4. The method for analyzing and assessing coal mine safety risks according to claim 1, wherein: The data updating method is determined as follows: Determine the type of data source based on the type of historical security risk information; Determine the lane where the risk source is located based on the risk source corresponding to the historical safety risk information; An IoT device is selected based on the output results of the IoT device in the lane where the risk source is located, and the output of the IoT device covers the risk source; Determine how data is updated based on IoT devices.

5. The method for analyzing and assessing coal mine safety risks according to claim 1, wherein: The sampling window is determined as follows: Obtain the risk category to which the historical safety risk information belongs, and determine the first time interval based on the average frequency of safety risk occurrence after the dangerous situation under the risk category is eliminated; Obtain the risk source corresponding to the historical safety risk information, and determine the second time interval based on the time when the safety risk first occurs at the risk source after the dangerous situation is eliminated; The smaller value of the first time interval and the second time interval is taken as the sampling window.

6. The method for analyzing and assessing coal mine safety risks according to claim 5, wherein: When calculating the second time interval, the risk level of the security risk that occurs for the first time is not higher than the risk level of the first historical security risk information.

7. An electronic device, characterized in that: It includes a processor and a memory; the memory is used to store a program; the processor executes the program to implement the coal mine safety risk analysis and judgment method as described in any one of claims 1-6.

8. A computer-readable storage medium, characterized in that The storage medium stores a program, and the program is executed by a processor to implement the coal mine safety risk analysis and judgment method according to any one of claims 1 to 6.

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