A task management system and method for underground emergency rescue

Abstract

The present invention relates to the technical field of rescue management, and discloses a task management system and method for underground emergency rescue, including an underground monitoring unit, a data acquisition unit, a communication unit, a central processing unit, and an information display unit; the present invention can determine the safe rescue time according to underground environmental parameters and personnel position information, provide a clear target for the rescue operation, and can also analyze the dispatch value of rescue personnel for reasonable allocation, analyze the underground environmental parameters with multiple attributes and consider time changes, and preset weight coefficients to determine the degree of urgency, so as to make the rescue more accurate; the central processing unit scientifically analyzes data, and the information display unit intuitively presents information, providing a basis for the rescue plan, reasonably allocating rescue resources, comprehensively considering the indicators of rescue personnel, avoiding waste and excessive use, giving priority to emergency tasks, ensuring rescue safety, real-time monitoring of the underground environment to provide early warning, and reasonably allocating tasks to avoid excessive fatigue and high risks of personnel.

Description

Technical Field

[0001] The present invention relates to the technical field of rescue management, and in particular to a task management system and method for underground emergency rescue. Background Art

[0002] With the continuous development of underground operations such as mining, underground safety issues have become a focus of attention. In the complex underground operating environment, due to the complexity of geological conditions and the diversity of dangerous factors, once an accident occurs, such as landslides, water seepage, gas explosions, etc., it will pose a serious threat to the lives and safety of underground personnel. Therefore, timely and effective emergency rescue is crucial.

[0003] However, current underground emergency rescue is facing many severe challenges. On the one hand, underground environmental parameters are complex and changeable. Temperature, humidity, gas concentration and other attribute parameters are constantly changing, which directly affects the survival of underground personnel and also brings huge challenges to determining a reasonable rescue time. Traditional rescue relies on experience judgment and lacks scientific basis. It is difficult to accurately assess the safety status of each location, which may lead to inaccurate rescue time and affect the rescue effect. On the other hand, there is a lack of reasonable management methods for the dispatch of rescue personnel. Different rescuers have different work experience, physical conditions and current rescue tasks. However, there is currently a lack of scientific methods to evaluate their capabilities and reasonably allocate rescue tasks, which can easily lead to unreasonable allocation of rescue resources, failure to give full play to the capabilities of rescuers, and reduced rescue efficiency.

[0004] In summary, the current underground emergency rescue urgently needs an underground emergency rescue task management system and method that can scientifically analyze the underground environment, accurately assess the safe rescue time, and reasonably allocate rescue personnel. Summary of the invention

[0005] The purpose of the present invention is to provide a task management system and method for underground emergency rescue, which solves the technical problems raised in the background technology.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A task management system for underground emergency rescue, comprising:

[0008] The underground monitoring unit is used to collect the personnel location information and underground environmental parameters of various attributes, and then transmit the collected data to the central processing unit through the communication unit;

[0009] The central processing unit is used to analyze and process the received underground environmental parameters and personnel position information, and obtain the safe rescue time corresponding to the position coordinates of each worker, and then transmit the obtained results to the information display unit;

[0010] The information display unit is used to display the location coordinates and safe rescue time corresponding to each worker to the relevant rescue team.

[0011] As a further solution of the present invention: underground environmental parameters of various attributes are obtained through parameter values ​​of the underground monitoring unit including but not limited to gas concentration sensors, oxygen content sensors, temperature sensors, and humidity sensors, and personnel location information is obtained through a personnel positioning sensor included in the underground monitoring unit.

[0012] As a further solution of the present invention: the analysis and processing method of the central processing unit is as follows:

[0013] Step 1.1, extract the position coordinates of each worker from the personnel position information, and then select the underground environmental parameters obtained by various sensors set at the corresponding positions in the mine according to the position coordinates of the workers;

[0014] Step 1.2, extracting downhole environmental parameters corresponding to multiple attributes of the current time node and n previous time nodes from downhole environmental parameters;

[0015] The downhole environmental parameters of various attributes at each time node are defined as variables X i ;

[0016] Where i=1, 2, ..., n, n+1, X n+1 Indicates the underground environment parameters of the corresponding attributes at the current time node, X n Indicates the downhole environmental parameters of the corresponding attributes at a previous time node adjacent to the current time node, and the time intervals of each adjacent time node are the same;

[0017] Step 1.3, through , calculate the feature average vector Y;

[0018] In the formula, t refers to the time interval between adjacent time nodes, and the characteristic average vector refers to the change rate of each attribute in the downhole environmental parameters at multiple time nodes;

[0019] Step 1.4, through , calculate the characteristic current vector Y0; the characteristic current vector refers to the change rate of each attribute in the downhole environmental parameters at the current time node;

[0020] Step 1.5, through , calculate the characteristic analysis vector YC;

[0021] The characteristic analysis vector YC refers to the increase ratio coefficient between the change rate of each attribute in the downhole environmental parameter at the current time node and the change rate of each attribute in the downhole environmental parameter at multiple time nodes;

[0022] Step 1.6, when the underground environmental parameters of various attributes are used as variables, the obtained feature average vector, feature current vector, and feature analysis vector are marked as Y j 、Y0 j , YC j , j = 1, 2, ..., m;

[0023] Among them, Y j 、Y0 j , YC j Refers to the characteristic average vector, characteristic current vector, and characteristic analysis vector corresponding to the attribute of the downhole environmental parameters;

[0024] At the same time, the variable corresponding to the attribute in the underground environmental parameters of the current time node is marked as X n+1，j ;

[0025] Step 1.7, extract the preset parameter thresholds corresponding to the underground environmental parameters based on various attributes and mark them as XY j ;

[0026] Step 1.8, through , calculate the safety assessment time E corresponding to various attributes in the underground environmental parameters j ;

[0027] Step 1.9, then from the safety assessment time E j Select the smallest safety time and record it as the safety rescue time for the worker's corresponding position coordinates;

[0028] Step 1.10: Calculate the safe rescue time for each worker's corresponding position coordinates according to the method from Step 1.2 to Step 1.9.

[0029] As a further solution of the present invention: the safe rescue time refers to the period of time during which the probability of survival of the underground victims after being rescued is relatively high.

[0030] As a further solution of the present invention: also include:

[0031] A data collection unit, used to collect rescuer information of the rescue team;

[0032] The central processing unit is also used to analyze the dispatch value of each rescuer based on the rescuer information;

[0033] The information display unit is also used to display the dispatch value of each rescuer to the management personnel of the relevant rescue team.

[0034] As a further solution of the present invention: the rescuer information includes the length of service of each rescuer, the total number of historical rescue tasks involved in underground rescue tasks, the current rescue volume, the duration of the task, and the duration of the task interval.

[0035] As a further solution of the present invention: wherein, the current rescue volume refers to the number of rescue tasks that have been performed by the rescuers;

[0036] Mission duration refers to the start and end time of a rescuer's participation in a single rescue mission;

[0037] The task interval duration refers to the interval time between each adjacent rescue task. The interval time is determined by counting the time from the end time of the previous rescue task to the start time of the next rescue task.

[0038] As a further solution of the present invention: the analysis method of the scheduling value is as follows:

[0039] SD1. Calculate the work experience index of each rescuer based on their length of service and the total number of rescue missions they have participated in underground rescue missions;

[0040] SD2, calculate the workload index of each rescuer through the current rescue volume, mission duration, mission interval, and physical condition index of each rescuer;

[0041] SD3. Calculate the dispatch value of each rescuer based on the workload index and work experience index;

[0042] Specifically: scheduling value = [1 / (workload index × ua)] + work experience index × ub;

[0043] Where ua and ub are the corresponding preset weight values.

[0044] As a further solution of the present invention: wherein, the larger the dispatch value is, the better the current rescue capability of the relevant rescue personnel is.

[0045] As a further embodiment of the present invention:

[0046] The work experience indicator is calculated as follows:

[0047] SD1.1. Obtain the length of service of each rescuer involved in the rescue mission, then calculate the sum of the length of service of all rescuers, and then calculate the proportion of the length of service of each rescuer in the sum of the length of service of all rescuers, and record it as the length of service coefficient;

[0048] SD1.2. Obtain the total number of rescue missions of each rescuer involved in the rescue mission, then calculate the sum of the total number of rescue missions of all rescuers, and then calculate the proportion of the total number of rescue missions of each rescuer in the sum of the total number of rescue missions of all rescuers, and record it as the rescue quantity coefficient;

[0049] SD1.3. Calculate the work experience index of each rescuer by: work experience index = length of service coefficient × u1 + rescue quantity coefficient × u2;

[0050] Wherein, u1 and u2 are the corresponding preset weight values.

[0051] As a further solution of the present invention: the workload index is calculated as follows:

[0052] SD2.1. Calculate the sum of the duration of all tasks of each rescuer and mark the result as the task execution duration of each rescuer;

[0053] At the same time, the sum of all task intervals is calculated, and the result is marked as the task execution rest time of each rescuer;

[0054] SD2.2, add the task execution time and the task execution rest time to obtain the total rescue time of each rescuer;

[0055] Then calculate the ratio of the rest time during task execution to the total rescue time, and record the result as the execution coefficient;

[0056] SD2.3. Calculate the sum of the current rescue efforts of all rescuers;

[0057] Then calculate the proportion of each rescuer's current rescue amount to the sum of all rescuers' current rescue amounts, and record it as each rescuer's current rescue coefficient;

[0058] SD2.4, calculate the workload index of each rescuer through: workload index = task execution time × execution coefficient × u3 + current rescue coefficient × u4;

[0059] Wherein, u3 and u4 are the corresponding preset weight values.

[0060] As a further solution of the present invention: the central processing unit is also used to analyze the urgency of the rescue task corresponding to the position coordinates of each worker according to Ej, and also to perform rescue allocation management in combination with the urgency of the rescue task and the dispatch value of the rescuer;

[0061] As a further solution of the present invention: the information display unit is also used to display the dispatch value of each rescuer and the allocation result of the rescue task to the management personnel.

[0062] As a further solution of the present invention: wherein the urgency is determined by The calculation shows that, where C represents the urgency of the rescue mission corresponding to the position coordinates of the corresponding worker, β j is the corresponding preset weight coefficient, where β j =[β1,β2,…,βm], and β j The preset weight values ​​are based on various attributes of the downhole environmental parameters;

[0063] As a further solution of the present invention: wherein, the smaller the urgency value is, the more urgent the rescue task corresponding to the position coordinates of the corresponding worker is;

[0064] As a further solution of the present invention: the rescue allocation management method of the central processing unit is: for rescue tasks with high urgency, rescue personnel with large scheduling values ​​are allocated first.

[0065] A task management method for underground emergency rescue, which is implemented by the task management system for underground emergency rescue, and comprises the following steps:

[0066] Step 1: Data Collection

[0067] Collect personnel location information and underground environment parameters of various attributes, and collect rescue personnel information of the rescue team;

[0068] Step 2: Calculation of safety rescue time

[0069] Analyze and process underground environmental parameters and personnel location information, and obtain the safe rescue time corresponding to the location coordinates of each worker;

[0070] Step 3: Scheduling value calculation

[0071] Firstly, the working experience index of each rescuer is calculated by the length of service of each rescuer and the total number of rescue missions in which they have participated in underground rescue missions;

[0072] Then, the workload index of each rescuer is calculated based on the current rescue volume, mission duration, mission interval, and physical condition index of each rescuer;

[0073] Finally, the dispatch value of each rescuer is calculated based on the workload index and work experience index.

[0074] Step 4: Calculate the degree of urgency

[0075] According to the safety assessment time corresponding to various attributes in the underground environmental parameters and the corresponding preset weight coefficients, the urgency of the rescue task for each worker's corresponding position coordinates is obtained.

[0076] Step 5: Rescue Allocation Management

[0077] The dispatch value of the rescue personnel is combined with the urgency of the rescue task to manage the rescue allocation. Specifically, for rescue tasks with high urgency, rescue personnel with large dispatch values ​​are given priority.

[0078] Step 6: Information display

[0079] The corresponding location coordinates of each worker and their safe rescue time, the dispatch value of each rescuer, and the rescue allocation management results are displayed to the relevant rescue teams.

[0080] Beneficial effects of the present invention:

[0081] Improve rescue efficiency: It can accurately analyze the safety assessment time corresponding to the position coordinates of each worker based on the underground environmental parameters and personnel location information, thereby determining the safe rescue time, providing a clear time target for the rescue operation, and helping the rescue team to reasonably arrange rescue resources and action steps to improve rescue efficiency; by analyzing the rescue personnel information, the dispatch value of each rescue personnel is obtained, and rescue allocation management is carried out in combination with the urgency of the rescue task, so that the most suitable rescue personnel can be assigned to the most urgent task, realizing the optimal allocation of resources and further improving the rescue efficiency.

[0082] Enhanced targeted rescue: The multi-attribute analysis of underground environmental parameters takes into account the changes at different time nodes, which can provide a more comprehensive understanding of the dynamic changes of the underground environment, provide a more accurate basis for determining the safe rescue time, and enhance the targeted rescue; the urgency of the rescue task is determined by pre-setting weight coefficients based on underground environmental parameters with different attributes, so that the rescue team can more accurately grasp the emergency situation at each location and give priority to the most urgent tasks.

[0083] Improve the scientific nature of rescue decisions: The central processing unit uses scientific calculation methods to analyze and process underground environmental parameters and rescue personnel information, providing reliable data support for rescue decisions and improving the scientific nature of rescue decisions; the information display unit displays the location coordinates of each worker, their safe rescue time, and the scheduling value of each rescuer to the relevant rescue team, so that the rescuers can intuitively understand the situation of the rescue mission and provide a basis for formulating rescue plans.

[0084] Reasonable allocation of rescue resources: Considering the rescuers' work experience index and workload index to calculate the dispatch value, it can comprehensively evaluate the rescuers' capabilities and status, reasonably allocate rescue resources, and avoid resource waste and overuse; for rescue tasks with high urgency, rescuers with large dispatch values ​​are given priority to ensure that the most urgent tasks receive the most powerful support, thereby improving the utilization efficiency of rescue resources.

[0085] Ensure rescue safety: Through real-time monitoring and analysis of underground environmental parameters, potential dangers can be discovered in time, providing safety warnings for rescuers to ensure their safety; reasonable allocation of rescue tasks and personnel can avoid rescuers from excessive fatigue and taking excessive risks, thereby improving the safety of rescue operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0086] The present invention will be further described below in conjunction with the accompanying drawings.

[0087] Figure 1 The present invention is a system block diagram of a task management system for underground emergency rescue.

[0088] Figure 2 It is a flow chart of a task management method for underground emergency rescue according to the present invention. DETAILED DESCRIPTION

[0089] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Embodiment 1:

[0090] See also Figure 1 As shown, the present invention is a task management system for underground emergency rescue, comprising:

[0091] Downhole monitoring unit, which contains various sensors, such as gas concentration sensor, oxygen content sensor, temperature sensor, humidity sensor and personnel positioning sensor, etc. These sensors collect downhole environmental parameters and personnel location information in real time;

[0092] The communication unit is used to transmit the data collected by the underground monitoring unit to the central processing unit. The communication unit adopts a wireless communication technology with strong anti-interference ability and stable signal to ensure smooth information between the underground and the ground. In this embodiment, the wireless signal transmission is performed using a specific frequency, and multiple relay nodes are set to enhance the signal coverage and stability.

[0093] The central processing unit is used to analyze and process the received underground environmental parameters and personnel location information, formulate reasonable emergency rescue tasks, and assign the tasks to the task execution units;

[0094] The analysis and processing methods are as follows:

[0095] Step 1.1, extract the position coordinates of each worker from the personnel position information, and then select the underground environmental parameters obtained by various sensors set at the corresponding positions in the mine according to the position coordinates of the workers;

[0096] Step 1.2, extract the gas concentration value, oxygen concentration value, temperature value, and humidity value corresponding to the current time node and the previous n time nodes from the underground environmental parameters;

[0097] Define the gas concentration, oxygen concentration, temperature, and humidity values ​​at each time point as variables X i ;

[0098] Where i=1, 2, ..., n, n+1, X n+1 Indicates the underground environment parameters of the corresponding attributes at the current time node, X n Indicates the underground environmental parameters of the corresponding attributes at a previous time node adjacent to the current time node, and the time intervals of each adjacent time node are the same;

[0099] Step 1.3, through , calculate the feature average vector Y;

[0100] In the formula, t refers to the time interval between adjacent time nodes;

[0101] Among them, the gas concentration value corresponds to the variable X i , the obtained characteristic average vector Y refers to the average gas concentration change rate;

[0102] Oxygen concentration value corresponding to variable X i , the obtained characteristic average vector Y refers to the average rate of change of oxygen concentration;

[0103] Temperature value corresponding to variable X i , the obtained characteristic average vector Y refers to the average temperature change rate;

[0104] Humidity value corresponds to variable X i , the obtained characteristic average vector Y refers to the average humidity change rate;

[0105] Step 1.4, through , calculate the feature current vector Y0;

[0106] Among them, the gas concentration value corresponds to the variable X i , the obtained characteristic current vector Y0 refers to the current gas concentration change rate;

[0107] Oxygen concentration value corresponding to variable X i , the obtained characteristic current vector Y0 refers to the current rate of change of oxygen concentration;

[0108] Temperature value corresponding to variable X i , the obtained characteristic current vector Y0 refers to the current temperature change rate;

[0109] Humidity value corresponds to variable X i , the obtained characteristic current vector Y0 refers to the current humidity change rate;

[0110] Step 1.5, calculate the characteristic analysis vector YC through YC = (Y0-Y) / Y;

[0111] Among them, the gas concentration value corresponds to the variable Xi, and the obtained characteristic analysis vector YC refers to the increase proportional coefficient of the current gas concentration change rate;

[0112] Oxygen concentration value corresponding to variable X i , the obtained characteristic analysis vector YC refers to the increase proportional coefficient of the current oxygen concentration change rate;

[0113] Temperature value corresponding to variable X i , the obtained characteristic analysis vector YC refers to the increase proportional coefficient of the current temperature change rate;

[0114] Humidity value corresponds to variable X i , the obtained characteristic analysis vector YC refers to the increase proportional coefficient of the current humidity change rate;

[0115] Step 1.6, when the gas concentration value, oxygen concentration value, temperature value, and humidity value are used as variables, the obtained feature average vector, feature current vector, and feature analysis vector are marked as Y j 、Y0 j , YC j , j = 1, 2, 3, 4;

[0116] Among them, Y1, Y01, and YC1 refer to the characteristic average vector, characteristic current vector, and characteristic analysis vector respectively obtained from the gas concentration value;

[0117] Y2, Y02, and YC2 refer to the characteristic average vector, characteristic current vector, and characteristic analysis vector respectively obtained for the oxygen concentration values;

[0118] Y3, Y03, and YC3 refer to the characteristic average vector, characteristic current vector, and characteristic analysis vector respectively obtained for the temperature values;

[0119] Y4, Y04, and YC4 refer to the characteristic average vector, characteristic current vector, and characteristic analysis vector obtained for the humidity values, respectively;

[0120] At the same time, the gas concentration value, oxygen concentration value, temperature value, and humidity value corresponding to the current time node are marked as Xn+1，j ;

[0121] Step 1.7. Extract the preset gas concentration threshold, oxygen concentration threshold, temperature threshold, and humidity threshold, and mark them as XY j ;

[0122] Step 1.8, through , calculate the safety assessment time E corresponding to the gas concentration, oxygen concentration, temperature and humidity respectively j ;

[0123] Step 1.9, then from the safety assessment time E j Select the smallest safety time and record it as the safety rescue time for the worker's corresponding position coordinates;

[0124] Step 1.10, calculate the safe rescue time of each worker's corresponding position coordinates according to the method from Step 1.2 to Step 1.9;

[0125] Safe rescue time refers to the period of time during which the chance of survival of the person in distress is relatively high after being rescued. Therefore, rescue time needs to be raced against time to avoid further deterioration of the living environment and endangerment of life.

[0126] The information display unit is used to display the location coordinates and safe rescue time corresponding to each worker to the relevant rescue team.

[0127] In this embodiment, various sensors of the underground monitoring unit collect underground environmental parameters and personnel location information in real time, providing accurate data basis for emergency rescue; the communication unit adopts wireless communication technology with strong anti-interference ability and stable signal, and sets multiple relay nodes to ensure smooth information between the underground and the ground, thereby improving the reliability of information transmission;

[0128] The central processing unit analyzes and processes the received information and can formulate reasonable emergency rescue tasks. Specifically, by calculating the feature average vector, feature current vector, feature analysis vector, and safety assessment time, it provides a scientific basis for rescue, making the rescue time more accurate and increasing the probability of survival of the people in distress underground after being rescued; the information display unit displays the corresponding position coordinates of each worker and the safe rescue time to the relevant rescue team, making it convenient for the rescue team to quickly locate the people in distress and reasonably arrange the rescue time, race against time for rescue, and avoid further deterioration of the living environment and endangering lives. Embodiment 2:

[0129] As the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of the present embodiment is different from that of the first embodiment only in that the present embodiment further includes:

[0130] A data collection unit is used to collect the rescuer information corresponding to the length of service of each rescuer in the rescue team, the total number of historical rescue tasks involved in underground rescue tasks, the current rescue volume, the duration of the task, and the duration of the task interval;

[0131] in,

[0132] The current rescue volume refers to the number of rescue missions that have been performed by rescuers;

[0133] Mission duration refers to the start and end time of a rescuer's participation in a single rescue mission;

[0134] The task interval duration refers to the interval time between each adjacent rescue task. The interval time is determined by counting the time from the end time of the previous rescue task to the start time of the next rescue task.

[0135] The central processing unit is also used to analyze the dispatch value of each rescuer based on the rescuer information;

[0136] SD1. Calculate the work experience index of each rescuer based on their length of service and the total number of rescue missions they have participated in underground rescue missions;

[0137] The work experience indicator is calculated as follows:

[0138] SD1.1. Obtain the length of service of each rescuer involved in the rescue mission, then calculate the sum of the length of service of all rescuers, and then calculate the proportion of the length of service of each rescuer in the sum of the length of service of all rescuers, and record it as the length of service coefficient;

[0139] SD1.2. Obtain the total number of rescue missions of each rescuer involved in the rescue mission, then calculate the sum of the total number of rescue missions of all rescuers, and then calculate the proportion of the total number of rescue missions of each rescuer in the sum of the total number of rescue missions of all rescuers, and record it as the rescue quantity coefficient;

[0140] SD1.3. Calculate the work experience index of each rescuer by: work experience index = length of service coefficient × u1 + rescue quantity coefficient × u2;

[0141] In the formula, u1 and u2 are the corresponding preset weight values;

[0142] SD2, calculate the workload index of each rescuer through the current rescue volume, mission duration, mission interval, and physical condition index of each rescuer;

[0143] The workload metric is calculated as follows:

[0144] SD2.1. Calculate the sum of the duration of all tasks of each rescuer and mark the result as the task execution duration of each rescuer;

[0145] At the same time, the sum of all task intervals is calculated, and the result is marked as the task execution rest time of each rescuer;

[0146] SD2.2, add the task execution time and the task execution rest time to obtain the total rescue time of each rescuer;

[0147] Then calculate the ratio of the rest time during task execution to the total rescue time, and record the result as the execution coefficient;

[0148] SD2.3. Calculate the sum of the current rescue efforts of all rescuers;

[0149] Then calculate the proportion of each rescuer's current rescue amount to the sum of all rescuers' current rescue amounts, and record it as each rescuer's current rescue coefficient;

[0150] SD2.4, calculate the workload index of each rescuer through: workload index = task execution time × execution coefficient × u3 + current rescue coefficient × u4;

[0151] Wherein, u3 and u4 are the corresponding preset weight values;

[0152] SD3. Calculate the dispatch value of each rescuer based on the workload index and work experience index;

[0153] Specifically: scheduling value = [1 / (workload index × ua)] + work experience index × ub;

[0154] In the formula, ua and ub are the corresponding preset weight values;

[0155] In this embodiment, the larger the dispatch value, the better the current rescue capability of the relevant rescuer.

[0156] The information display unit is also used to display the dispatch value of each rescuer to the management personnel of the relevant rescue team.

[0157] In this embodiment, the data collection unit collects various information of each rescuer in the rescue team, including length of service, total number of historical rescue tasks involved in underground rescue tasks, current rescue volume, task duration, and information of rescuers corresponding to task intervals, providing comprehensive data support for the reasonable dispatch of rescuers; the central processing unit analyzes the dispatch value of each rescuer based on the rescuer information, and can comprehensively consider the work experience and workload of the rescuer, making the dispatch more scientific and reasonable. The work experience index reflects the experience of the rescuer through the calculation of the length of service coefficient and the rescue quantity coefficient; the workload index reflects the work intensity of the rescuer through the calculation of the task execution time, execution coefficient, current rescue coefficient, etc.; the information display unit displays the dispatch value of each rescuer to the managers of the relevant rescue team, which is convenient for the managers to understand the status of the rescuers and make reasonable personnel arrangements and management. Embodiment three:

[0158] As the third embodiment of the present invention, when the present application is implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments, and the difference between the technical solution of this embodiment and the first and second embodiments is only in this embodiment;

[0159] The central processing unit is also used to analyze the urgency of the rescue mission corresponding to the position coordinates of each worker based on Ej;

[0160] Its The calculation results are: C represents the urgency of the rescue mission of the corresponding worker's corresponding position coordinates, β j is the corresponding preset weight coefficient. In this embodiment, β j =[β1,β2,β3,β4], where β1 is a preset weight value corresponding to gas concentration, β2 is a preset weight value corresponding to oxygen concentration, β3 is a preset weight value corresponding to temperature, and β4 is a preset weight value corresponding to humidity;

[0161] In this embodiment, the smaller the urgency value is, the more urgent the rescue mission corresponding to the position coordinates of the corresponding worker is;

[0162] The central processing unit is also used to manage rescue allocation based on the urgency of the rescue mission and the dispatch value of the rescuers. The specific methods are as follows:

[0163] For rescue missions with high urgency, rescuers with large dispatch values ​​are given priority, because large dispatch values ​​mean good rescue capabilities and can respond to emergencies more effectively.

[0164] In this embodiment, a pre-set urgency threshold is also extracted;

[0165] When the urgency of a rescue mission is less than the urgency threshold, the rescue mission is defined as a non-urgent mission;

[0166] When the urgency of a rescue mission is greater than or equal to the urgency threshold, the rescue mission is defined as an emergency mission;

[0167] Then, the rescuers are assigned to the emergency tasks in priority order from the largest to the smallest dispatch value;

[0168] In this embodiment, it is also taken into account that in actual situations there may be multiple rescue tasks being carried out simultaneously, and dynamic allocation can be performed based on the degree of urgency and scheduling value; for example, when a new emergency task emerges, the allocation of each rescuer can be re-evaluated, and rescuers who are performing non-emergency tasks can be adjusted to the emergency task.

[0169] The information display unit is also used to display the dispatch value of each rescuer and the allocation result of the rescue task to the management personnel so that the management personnel can supervise and adjust.

[0170] In this embodiment, the central processing unit analyzes the urgency of the rescue task of each worker's corresponding position coordinate based on Ej, and considers multiple factors such as gas concentration, oxygen concentration, temperature, humidity, etc. through preset weight coefficients, so that the assessment of the urgency is more accurate; rescue allocation management is performed in combination with the urgency of the rescue task and the dispatch value of the rescue personnel, and rescue personnel with a large dispatch value are given priority to rescue tasks with high urgency, which can more effectively respond to emergencies and improve rescue efficiency; considering that there may be multiple rescue tasks being carried out simultaneously in actual situations, dynamic allocation is performed, which improves the flexibility and adaptability of rescue allocation; the information display unit displays the dispatch value of each rescuer and the allocation results of the rescue task to the management personnel, which is convenient for the management personnel to supervise and adjust, and ensure the rationality and effectiveness of the rescue allocation. Embodiment 4:

[0171] As the fourth embodiment of the present invention, when the present application is specifically implemented, compared with the first, second and third embodiments, the technical solution of this embodiment is to combine and implement the solutions of the above-mentioned first, second and third embodiments.

[0172] This embodiment combines the advantages of Embodiment 1, Embodiment 2 and Embodiment 3 to achieve comprehensive, scientific and efficient management of underground emergency rescue. Through the collection of underground environmental parameters and personnel location information, analysis of rescue personnel information, and emergency assessment and reasonable allocation of rescue tasks, the success rate and efficiency of underground emergency rescue are improved, and the life safety of underground personnel is guaranteed to the greatest extent.

[0173] See also Figure 2As shown, the present invention also provides a task management method for underground emergency rescue, which is implemented by the task management system for underground emergency rescue, and the method includes the following steps:

[0174] Step 1: Data Collection

[0175] Collect personnel location information and underground environment parameters of various attributes, and collect rescue personnel information of the rescue team;

[0176] Step 2: Calculation of safety rescue time

[0177] Analyze and process underground environmental parameters and personnel location information, and obtain the safe rescue time corresponding to the location coordinates of each worker;

[0178] Step 3: Scheduling value calculation

[0179] Firstly, the working experience index of each rescuer is calculated by the length of service of each rescuer and the total number of rescue missions in which they have participated in underground rescue missions;

[0180] Then, the workload index of each rescuer is calculated based on the current rescue volume, mission duration, mission interval, and physical condition index of each rescuer;

[0181] Finally, the dispatch value of each rescuer is calculated based on the workload index and work experience index.

[0182] Step 4: Calculate the degree of urgency

[0183] According to the safety assessment time corresponding to various attributes in the underground environmental parameters and the corresponding preset weight coefficients, the urgency of the rescue task for each worker's corresponding position coordinates is obtained.

[0184] Step 5: Rescue Allocation Management

[0185] The dispatch value of the rescue personnel is combined with the urgency of the rescue task to manage the rescue allocation. Specifically, for rescue tasks with high urgency, rescue personnel with large dispatch values ​​are given priority.

[0186] Step 6: Information display

[0187] The corresponding location coordinates of each worker and their safe rescue time, the dispatch value of each rescuer, and the rescue allocation management results are displayed to the relevant rescue teams.

[0188] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0189] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A task management system for underground emergency rescue, characterized in that: include: The underground monitoring unit is used to collect the personnel location information and underground environmental parameters of various attributes, and then transmit the collected data to the central processing unit; A data collection unit, used to collect rescuer information of the rescue team; The central processing unit is used to analyze and process the collected underground environmental parameters and personnel position information, and obtain multiple safety assessment times corresponding to the position coordinates of each worker, and then determine the safety rescue time and the urgency of the rescue task corresponding to the position coordinates of each worker based on the safety assessment time. It is also used to analyze the dispatch value of each rescuer based on the collected rescuer information, and then perform rescue allocation management based on the dispatch value of the rescuer combined with the urgency of the rescue task, and then transmit the result to the information display unit; The analysis and processing method of the central processing unit is as follows: Step 1.1, extract the position coordinates of each worker from the personnel position information, and then select the underground environmental parameters obtained by various sensors set at the corresponding positions in the mine according to the position coordinates of the workers; Step 1.2, extracting downhole environmental parameters corresponding to multiple attributes of the current time node and n previous time nodes from downhole environmental parameters; The downhole environmental parameters of various attributes at each time node are defined as variables X i ; Where i=1, 2, ..., n, n+1, X n+1 Indicates the underground environment parameters of the corresponding attributes at the current time node, X n Indicates the downhole environmental parameters of the corresponding attributes at a previous time node adjacent to the current time node, and the time intervals of each adjacent time node are the same; Step 1.3, through , calculate the feature average vector Y; In the formula, t refers to the time interval between adjacent time nodes, and the characteristic average vector refers to the change rate of each attribute in the downhole environmental parameters at multiple time nodes; Step 1.4, through , calculate the characteristic current vector Y0; the characteristic current vector refers to the change rate of each attribute in the downhole environmental parameters at the current time node; Step 1.5, calculate the characteristic analysis vector YC through YC = (Y0-Y) / Y; The characteristic analysis vector YC refers to the increase ratio coefficient between the change rate of each attribute in the downhole environmental parameter at the current time node and the change rate of each attribute in the downhole environmental parameter at multiple time nodes; Step 1.6, when the underground environmental parameters of various attributes are used as variables, the obtained feature average vector, feature current vector, and feature analysis vector are marked as Y j 、Y0 j , YC j , j = 1, 2, ..., m; Among them, Y j 、Y0 j , YC j Refers to the characteristic average vector, characteristic current vector, and characteristic analysis vector corresponding to the attribute of the downhole environmental parameters; At the same time, the variable corresponding to the attribute in the underground environmental parameters of the current time node is marked as X n+1，j ; Step 1.7, extract the preset parameter thresholds corresponding to the downhole environmental parameters based on various attributes and mark them as XY j ; Step 1.8, pass , calculate the safety assessment time E corresponding to various attributes in the underground environmental parameters j ; Step 1.9, then from the safety assessment time E j Select the smallest safety time and record it as the safety rescue time for the worker's corresponding position coordinates; Step 1.10, calculate the safe rescue time of each worker's corresponding position coordinates according to the method from Step 1.2 to Step 1.9; The dispatch value is analyzed as follows: SD1. Calculate the work experience index of each rescuer based on their length of service and the total number of rescue missions they have participated in underground rescue missions; SD2, calculate the workload index of each rescuer through the current rescue volume, mission duration, mission interval, and physical condition index of each rescuer; SD3. Calculate the dispatch value of each rescuer based on the workload index and work experience index; Specifically: scheduling value = [1 / (workload index × ua)] + work experience index × ub; In the formula, ua and ub are the corresponding preset weight values; The information display unit is used to display the location coordinates corresponding to each worker and their safe rescue time, as well as the dispatch value of each rescuer to the relevant rescue team.

2. The task management system for underground emergency rescue according to claim 1, characterized in that: The work experience indicator is calculated as follows: SD1.

1. Obtain the length of service of each rescuer involved in the rescue mission, then calculate the sum of the length of service of all rescuers, and then calculate the proportion of the length of service of each rescuer in the sum of the length of service of all rescuers, and record it as the length of service coefficient; SD1.

2. Obtain the total number of rescue missions of each rescuer involved in the rescue mission, then calculate the sum of the total number of rescue missions of all rescuers, and then calculate the proportion of the total number of rescue missions of each rescuer in the sum of the total number of rescue missions of all rescuers, and record it as the rescue quantity coefficient; SD1.

3. Calculate the work experience index of each rescuer by: work experience index = length of service coefficient × u1 + rescue quantity coefficient × u2; Wherein, u1 and u2 are the corresponding preset weight values.

3. The task management system for underground emergency rescue according to claim 1, characterized in that: The workload metric is calculated as follows: SD2.

1. Calculate the sum of the duration of all tasks of each rescuer and mark the result as the task execution duration of each rescuer; At the same time, the sum of all task intervals is calculated, and the result is marked as the task execution rest time of each rescuer; SD2.2, add the mission execution time and the rest time during mission execution to obtain the total rescue time of each rescuer; Then calculate the ratio of the rest time during task execution to the total rescue time, and record the result as the execution coefficient; SD2.

3. Calculate the sum of the current rescue efforts of all rescuers; Then calculate the proportion of each rescuer's current rescue amount to the sum of all rescuers' current rescue amounts, and record it as each rescuer's current rescue coefficient; SD2.4, calculate the workload index of each rescuer through: workload index = task execution time × execution coefficient × u3 + current rescue coefficient × u4; Wherein, u3 and u4 are the corresponding preset weight values.

4. The task management system for underground emergency rescue according to claim 1, characterized in that: Rescue personnel information includes each rescue personnel's length of service, the total number of historical rescue missions they have participated in underground rescue missions, the current rescue volume, mission duration, and mission interval duration; Among them, the current rescue volume refers to the number of rescue tasks that rescuers have performed; Mission duration refers to the start and end time of a rescuer's participation in a single rescue mission; The task interval duration refers to the interval time between each adjacent rescue task. The interval time is determined by counting the time from the end time of the previous rescue task to the start time of the next rescue task.

5. The task management system for underground emergency rescue according to claim 1, characterized in that: in, Urgency level by The calculation shows that, where C represents the urgency of the rescue mission corresponding to the position coordinates of the corresponding worker, β j is the corresponding preset weight coefficient, where β j =[β1,β2,…,βm], and β j It is the preset weight value corresponding to various attributes in the underground environmental parameters.

6. The task management system for underground emergency rescue according to claim 1, characterized in that: in, The larger the dispatch value, the better the current rescue capability of the relevant rescuers; Among them, the smaller the urgency value, the more urgent the rescue mission corresponding to the position coordinates of the corresponding worker; The rescue allocation management mode of the central processing unit is: for rescue tasks with high urgency, rescue personnel with large scheduling values ​​are allocated first.

7. A task management method for underground emergency rescue, characterized in that: The method is implemented by a task management system for underground emergency rescue as described in any one of claims 1-6.

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