A mine disaster relief communication system and use method

Abstract

The present invention relates to the field of disaster relief communication, and specifically discloses a mine disaster relief communication system and a use method. The mine disaster relief communication system comprises a communication terminal module, a communication base station module, a signal transmission module, a signal processing module, a communication path optimization module, a terminal positioning module, and a power management module. In the mine disaster relief communication system proposed by the present invention, communication terminals communicate with each other through micro emergency communication base stations installed in the mining area, a noise elimination algorithm is proposed to eliminate noise of signals of the communication terminals, and the optimal communication path selection between the communication terminals and the communication base stations in an emergency state is performed through the path optimization of network communication.

Description

Technical Field

[0001] The present invention relates to the field of disaster relief communications, and in particular to a mine disaster relief communication system and a use method thereof. Background Art

[0002] With the rapid development of science and technology and the continuous progress of human society, mining, as one of the important foundations supporting industrial development, plays a vital role in the history of human social development. However, although the development of mining has brought huge economic benefits and social wealth to mankind, it is also accompanied by many safety hazards and challenges. In the process of mine production, accidents occur frequently due to the particularity of the mine environment. Once an accident occurs, it often causes communication interruption, difficulty in rescue and other problems, which seriously threatens the life and property safety of miners.

[0003] With the continuous acceleration of industrialization and the continuous improvement of technology, the scale and depth of mines are also expanding, and the environmental conditions inside mines are becoming more and more complex and harsh. Traditional mine communication equipment often cannot meet the needs of internal mine communication. For example, wired communication is easily damaged and wireless signal coverage is insufficient, which has become an important factor restricting mine communication. Traditional wired communication equipment is not ideal for use inside mines due to its complex line layout and susceptibility to damage. Although wireless communication equipment solves the wiring problem of wired communication, it is still unsatisfactory in signal stability and coverage due to the environmental conditions inside the mine.

[0004] In addition, traditional mine communication equipment also has many shortcomings when responding to emergencies. Once a mine accident, such as collapse or fire, occurs, miners are often isolated from the outside world and cannot contact the outside world in time. Rescuers also have difficulty in knowing the specific circumstances of the accident, which causes the rescue operation to be delayed and untimely, thereby increasing the difficulty and risk of rescue and causing more serious losses caused by the accident.

[0005] With the continuous improvement of society's requirements for mine safety and the continuous innovation of technology, the mine communication field urgently needs a communication system that can stably and reliably transmit information in a complex environment to improve the safety and communication efficiency of personnel inside the mine, strengthen the rescue capabilities in the event of a mine accident, and reduce the losses caused by a mine accident. Therefore, it is imperative to develop a disaster relief communication system suitable for the mine environment. This is not only a guarantee for the safety of miners' lives, but also a promotion of mine safety production. It is an inevitable trend and important guarantee for the development of the mining industry. Summary of the invention

[0006] The purpose of the present invention is to provide a mine disaster relief communication system and a method of use, aiming to solve the problems mentioned in the above background. The present invention combines advanced communication technology and the special requirements of the mine environment to propose a communication system solution suitable for mine rescue, aiming to solve many difficult problems in mine communication, improve mine rescue efficiency, ensure the life safety and property safety of miners, and promote mining safety production to a higher level.

[0007] In order to achieve the above-mentioned purpose, the present invention proposes a mine disaster relief communication system, including a communication terminal module, a communication base station module, a signal transmission module, a signal processing module, a communication path optimization module, a terminal positioning module, and a power management module; the communication terminal module provides a communication channel between personnel inside the mine and external personnel by being equipped with a communication terminal; the communication base station module realizes the signal connection between communication terminals by installing a micro emergency communication base station and a gateway; in the signal transmission module, the communication terminal signal is limited to unidirectional transmission; the signal processing module attenuates and eliminates the noise signal by proposing a noise elimination algorithm; the communication path optimization module optimizes the network communication path by constructing a communication node planning model; in the terminal positioning module, the communication terminal sends specific location information to provide personnel positioning; in the power management module, a power management method is proposed to manage the battery life of the communication terminal.

[0008] Furthermore, the communication terminal module is equipped with a communication terminal including a sound signal collecting part and a sound signal playing part, the communication terminal is divided into a central terminal and a user terminal, the sound signal collecting part and the sound signal playing part are connected by a metal wire, and the communication terminal is powered by a battery.

[0009] Furthermore, the communication base station module is achieved by installing micro communication base stations at key locations in the mining area, including the mining construction area, the mining office, the mining center, and the mining edge. The area where the micro communication base station is installed is installed with a gateway. The micro communication base station and the gateway are combined to form a signal communication channel.

[0010] Furthermore, in the signal transmission module, the one-way transmission of communication terminal signals is limited to allowing signal transmission only between the user terminal and the central terminal, and not allowing signal transmission between user terminals.

[0011] Furthermore, the noise elimination algorithm constructs a noise elimination model, and proposes an optimization control matrix for the sound signal passing through the terminal signal filter through iterative calculation, thereby optimizing the weight parameters of the terminal signal filter.

[0012] Furthermore, the noise cancellation model, for the set of sound signals emitted by the user, is defined as , is a time series signal, expressed as:

[0013] ,

[0014] in, The sound signal vector at the first moment, the sound signal vector at the second moment, and the sound signal vector at the The sound signal vector at time The sound signal vector at the moment, the sound signal emitted by the user in the space, after multiple path reflections, generates a sound echo signal, which interferes with the sound signal. The noise signal generated in the mining area affects the user's sound signal. Based on the echo signal interference and the influence of the noise signal, the sound signal is passed through the terminal signal filter to obtain the sound signal input by the terminal as follows:

[0015] ,

[0016] in, It represents the terminal signal filter at the kth iteration. weight parameters, Represents the sound signal vector The echo path function, Represents the noise signal vector, and then updates the terminal signal filter weight parameters through iterative calculation. In the iterative calculation, the compensation function is defined , the formula is as follows:

[0017] ,

[0018] in, express Order difference, based on the compensation function, optimizes and updates the weight parameters in the iterative process of the terminal filter. In the process of optimizing and updating the weight parameters, the optimization control matrix is ​​defined , which is expressed as follows:

[0019] ,

[0020] in, Represent the optimized control matrix The value of the first row and first column of the optimization control matrix The value of the 1st row and the nth column, the optimization control matrix The value of the nth row and the first column, the optimization control matrix No. Line Column values, optimization control matrix No. Line The value of the column, for the value in the optimization control matrix, has the following calculation formula:

[0021] ,

[0022] in, represents the order of the terminal signal filter at k iterations, They represent the first weight parameter of the terminal signal filter at the kth iteration, the first weight parameter of the terminal signal filter at the kth iteration, weight parameter, the terminal signal filter at the kth iteration weight parameters, based on the optimization control matrix , update the weight parameters of the terminal signal filter in the following way:

[0023] ,

[0024] in, They represent the weight vector composed of the weight parameters of the terminal signal filter at the kth iteration and the weight vector composed of the weight parameters of the terminal signal filter at the k+1th iteration, respectively. represents the optimal control matrix of the terminal signal filter at k iterations, represents the terminal signal filter weight parameter update control coefficient, Represents transposition, and based on the optimized weight parameters, the terminal signal filter is gradually optimized. The noise elimination algorithm proposed in the present invention constructs a noise elimination model, collects terminal input signals, proposes a compensation function, performs iterative calculations, and uses an optimized control matrix to update the weight parameters of the terminal signal filter. The noise elimination algorithm proposed in the present invention can reduce the impact of the working environment of the mining area on the propagation of sound signals and improve the quality of sound signal transmission.

[0025] Furthermore, the communication node planning model constructs a communication node network, proposes an objective function, and performs network communication path planning.

[0026] Furthermore, the communication node network is constructed. For all the micro emergency communication base stations installed in the mining area, a communication node network is formed according to their relative positions, and the corresponding gateway relay nodes are matched. In the process of network communication path planning, simulated network nodes and back-end simulated nodes are defined. In the process of network communication path planning, simulated network nodes move paths in the communication node network. The network communication path planning has a communication step calculation formula as follows:

[0027] ,

[0028] in, represents the communication step length, Indicates the channel status. Indicates the distance between the simulated network node and the subsequent simulated node. Represents the mobile variable. During the network communication path planning process, the simulated network node defines the simulated network node beacon. The nodes in the communication node network matching the simulated network node are passed the beacon. The beacon iteration method is as follows:

[0029] ,

[0030] in, They represent the beacon degree of the i-th simulated network node after k-th path movement and the beacon degree of the i-th simulated network node after k-1-th path movement, respectively. represents the transfer coefficient of the signal level of the ith simulated network node, It represents the unit distance of the kth path movement of the ith simulated network node through the jth communication node of the communication node network, Represents the dispersion of the path movement of the ith simulated network node. Based on the beacon degree of the simulated network node, the network communication path planning objective function is constructed. , the function formula is as follows:

[0031] ,

[0032] in, represents the beacon degree of the ith simulated network node, represents the beacon degree of the tth node in the communication node network, It means that after n path moves, based on the objective function, the communication path planning rules are defined to carry out network communication path planning. The communication path planning rules are as follows:

[0033] ,

[0034] in, Represents learning parameters, which are adjusted and set according to the actual needs of path planning. The communication node planning model proposed in the present invention constructs a communication node network, defines simulated network nodes, performs network communication path planning, analyzes the path movement of simulated network nodes, calculates the communication step length, defines the simulated network node signal level, and iterates the simulated network node signal level based on the communication step length. Then, a network communication path planning objective function is proposed to optimize the communication path. The communication node planning model proposed in the present invention can find the optimal communication path in an emergency situation in a mining area and ensure the stability of communication between terminals.

[0035] Furthermore, in the terminal positioning module, the communication terminal sends specific location information to the central terminal, including horizontal location information and vertical location information.

[0036] Furthermore, the power management method controls the user terminal signal transmission mode to be intermittent transmission, and the intermittent transmission is to open the signal transmission channel at intervals of a period of time. When the signal transmission channel is closed, the user terminal does not collect sound signals.

[0037] Furthermore, a method for using a mine disaster relief communication system includes: first, users in the mine and users outside are equipped with communication terminals at the same time to provide a way of communicating with each other, and then micro emergency communication base stations and gateways are installed inside and outside the mine area to realize the connection of communication signals between the communication terminals; the communication terminals here are limited to only allow signal transmission between external users and internal users; in the process of communication between terminals, a noise elimination algorithm is used to reduce and eliminate noise; the communication path between the terminals uses a communication node planning model to plan the communication path and enhance the signal of the communication terminal; the communication terminal has a built-in positioning module to intermittently send location information to the outside and intermittently open the signal transmission channel.

[0038] The beneficial effects of the present invention are as follows:

[0039] 1. The noise elimination algorithm proposed in the present invention can reduce the influence of the working environment of the mining area on the propagation of sound signals and improve the quality of sound signal transmission by constructing a noise elimination model, collecting terminal input signals, proposing a compensation function, performing iterative calculations, and using an optimized control matrix to update the weight parameters of the terminal signal filter.

[0040] 2. The communication node planning model proposed in the present invention constructs a communication node network, defines simulated network nodes, and performs network communication path planning. By analyzing the path movement of the simulated network nodes, the communication step length is calculated, and the simulated network node signal level is defined. Based on the communication step length, the simulated network node signal level is iterated, and then the network communication path planning objective function is proposed to optimize the communication path. The communication node planning model proposed in the present invention can find the optimal communication path in the event of an emergency in the mining area and ensure the stability of communication between terminals;

[0041] 3. The mine disaster relief communication system and use method proposed by the present invention can quickly and accurately obtain accident information when a mine accident occurs by optimizing the communication path and improving the communication quality, provide accurate rescue guidance for rescue personnel, improve the efficiency and success rate of rescue operations, shorten the rescue response time, and minimize the losses caused by accidents. By limiting the one-way transmission of communication terminal signals and proposing a noise elimination algorithm, the noise interference and signal loss problems in the communication process are solved, the stability and reliability of communication are improved, and the smooth communication within the mine is guaranteed. By constructing a communication node planning model and optimizing the communication path, the communication path can be reasonably planned according to the specific conditions and communication requirements of the mine, the layout of communication nodes can be optimized, and the communication efficiency can be improved, providing a more scientific and effective solution for the internal communication of the mine. The mine disaster relief communication system and the use method of the present invention have many beneficial effects, which not only improve the safety level of miners, optimize the internal communication environment of the mine, but also improve the efficiency and success rate of mine accident rescue, provide strong support for mining safety production, and have important social and economic value. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings in the following description are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0043] Figure 1 It is a system diagram of the mine disaster relief communication system of the present invention;

[0044] Figure 2 It is a schematic diagram of sound signal propagation of the present invention. DETAILED DESCRIPTION

[0045] 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 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.

[0046] See also Figure 1In order to achieve the above-mentioned purpose, the present invention proposes a mine disaster relief communication system and a method of use, including a communication terminal module, a communication base station module, a signal transmission module, a signal processing module, a communication path optimization module, a terminal positioning module, and a power management module; the communication terminal module provides a communication channel between personnel inside the mine and external personnel by equipping a communication terminal; the communication base station module realizes the signal connection between communication terminals by installing a micro emergency communication base station and a gateway; in the signal transmission module, the communication terminal signal is limited to unidirectional transmission; the signal processing module attenuates and eliminates the noise signal by proposing a noise elimination algorithm; the communication path optimization module optimizes the network communication path by constructing a communication node planning model; in the terminal positioning module, the communication terminal sends specific location information to provide personnel positioning; in the power management module, a power management method is proposed to manage the battery life of the communication terminal.

[0047] The communication terminal module is equipped with a communication terminal including a sound signal collecting part and a sound signal playing part. The communication terminal is divided into a central terminal and a user terminal. The sound signal collecting part and the sound signal playing part are connected by a metal wire, and the communication terminal is powered by a battery.

[0048] The communication base station module is achieved by installing micro communication base stations at key locations in the mining area, including the mining construction area, mining office, mining center, and mining edge. Gateways are installed in the areas where micro communication base stations are installed. The micro communication base station and gateway are combined to form a signal communication channel.

[0049] The signal transmission module limits the one-way transmission of communication terminal signals to only allow signal transmission between the user terminal and the central terminal, and does not allow signal transmission between user terminals.

[0050] See also Figure 1 , Figure 2 , noise elimination algorithm, builds a noise elimination model, and proposes an optimization control matrix for the sound signal after the terminal signal filter through iterative calculation, and optimizes the weight parameters of the terminal signal filter. For the sound signal set emitted by the user, it is defined as , is a time series signal, expressed as:

[0051] ,

[0052] in, The sound signal vector at the first moment, the sound signal vector at the second moment, and the sound signal vector at the The sound signal vector at time The sound signal vector at the moment, the sound signal emitted by the user in the space, after multiple path reflections, generates a sound echo signal, which interferes with the sound signal. The noise signal generated in the mining area affects the user's sound signal. Based on the echo signal interference and the influence of the noise signal, the sound signal is passed through the terminal signal filter to obtain the sound signal input by the terminal as follows:

[0053] ,

[0054] in, It represents the terminal signal filter at the kth iteration. weight parameters, Represents the sound signal vector The echo path function, Represents the noise signal vector, and then updates the terminal signal filter weight parameters through iterative calculation. In the iterative calculation, the compensation function is defined , the formula is as follows:

[0055] ,

[0056] in, express Order difference, based on the compensation function, optimizes and updates the weight parameters in the iterative process of the terminal filter. In the process of optimizing and updating the weight parameters, the optimization control matrix is ​​defined , which is expressed as follows:

[0057] ,

[0058] in, Represent the optimized control matrix The value of the first row and first column of the optimization control matrix The value of the 1st row and the nth column, the optimization control matrix The value of the nth row and the first column, the optimization control matrix No. Line Column values, optimization control matrix No. Line The value of the column, for the value in the optimization control matrix, has the following calculation formula:

[0059] ,

[0060] in, represents the order of the terminal signal filter at k iterations, They represent the first weight parameter of the terminal signal filter at the kth iteration, the first weight parameter of the terminal signal filter at the kth iteration, weight parameter, the terminal signal filter at the kth iteration weight parameters, based on the optimization control matrix , update the weight parameters of the terminal signal filter in the following way:

[0061] ,

[0062] in, They represent the weight vector composed of the weight parameters of the terminal signal filter at the kth iteration and the weight vector composed of the weight parameters of the terminal signal filter at the k+1th iteration, respectively. represents the optimal control matrix of the terminal signal filter at k iterations, represents the terminal signal filter weight parameter update control coefficient, Represents transposition, and based on the optimized weight parameters, the terminal signal filter is gradually optimized.

[0063] See also Figure 1 Specifically, the communication node planning model constructs a communication node network, proposes an objective function, and performs network communication path planning. For all the micro emergency communication base stations installed in the mining area, a communication node network is formed according to their relative positions, and the corresponding gateway relay nodes are matched. In the process of network communication path planning, simulated network nodes and back-end simulation nodes are defined. In the process of network communication path planning, the simulated network nodes move in the communication node network. The network communication path planning has a communication step calculation formula as follows:

[0064] ,

[0065] in, represents the communication step length, Indicates the channel status. Indicates the distance between the simulated network node and the subsequent simulated node. Represents the mobile variable. During the network communication path planning process, the simulated network node defines the simulated network node beacon. The communication node in the communication node network matching the simulated network node is passed the beacon. The beacon iteration method is as follows:

[0066] ,

[0067] in, They represent the beacon degree of the i-th simulated network node after k-th path movement and the beacon degree of the i-th simulated network node after k-1-th path movement, respectively. represents the transfer coefficient of the signal level of the ith simulated network node, It represents the unit distance of the kth path movement of the ith simulated network node through the jth communication node of the communication node network, Represents the dispersion of the path movement of the ith simulated network node. Based on the beacon degree of the simulated network node, the network communication path planning objective function is constructed. , the function formula is as follows:

[0068] ,

[0069] in, represents the beacon degree of the ith simulated network node, represents the beacon degree of the tth communication node in the communication node network, It means that after n path moves, based on the objective function, the communication path planning rules are defined to carry out network communication path planning. The communication path planning rules are as follows:

[0070] ,

[0071] in, Represents learning parameters, which are adjusted and set according to the actual needs of path planning.

[0072] The terminal positioning module enables the communication terminal to send specific location information to the central terminal, including horizontal location information and vertical location information.

[0073] The power management method controls the user terminal signal transmission mode to be intermittent transmission. Intermittent transmission is to open the signal transmission channel at intervals of a period of time. When the signal transmission channel is closed, the user terminal does not collect sound signals.

[0074] In a specific embodiment, first, users in the mine and users outside are equipped with communication terminals at the same time to provide a way to communicate with each other, and then micro emergency communication base stations and gateways are installed inside and outside the mine area to realize the connection of communication signals between the communication terminals; the communication terminal here is limited to only allow signal transmission between external users and internal users; in the communication process between terminals, a noise elimination algorithm is used to reduce and eliminate noise; the communication path between the terminals uses a communication node planning model to plan the communication path and enhance the signal of the communication terminal; the communication terminal has a built-in positioning module to intermittently send location information to the outside and intermittently open the signal transmission channel.

[0075] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0076] Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0077] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.

Claims

1. A mine disaster relief communication system, characterized in that: It includes a communication terminal module, a communication base station module, a signal transmission module, a signal processing module, a communication path optimization module, a terminal positioning module and a power management module; the communication terminal module provides a communication channel between personnel in the mine and external personnel by equipping a communication terminal; the communication base station module realizes the signal connection between communication terminals by installing a micro emergency communication base station and a gateway; in the signal transmission module, the communication terminal signal is limited to one-way transmission; the signal processing module attenuates and eliminates the noise signal by proposing a noise elimination algorithm; the communication path optimization module optimizes the network communication path by constructing a communication node planning model; in the terminal positioning module, the communication terminal sends specific location information to provide personnel positioning; in the power management module, a power management method is proposed to manage the battery life of the communication terminal; The signal transmission module is limited to one-way transmission of communication terminal signals, which only allows signal transmission between the user terminal and the central terminal, and does not allow signal transmission between user terminals; The noise elimination algorithm constructs a noise elimination model, proposes an optimization control matrix through iterative calculation for the sound signal passing through the terminal signal filter, and optimizes the weight parameters of the terminal signal filter; The noise elimination model is a time series signal for the sound signal set emitted by the user. The sound signal emitted by the user in the space is reflected by multiple paths to generate a sound echo signal. A noise signal will be generated in the mining area. The echo signal and the noise signal will interfere with the sound signal together. Based on the interference of the echo signal and the influence of the noise signal, the sound signal is passed through the terminal signal filter to obtain the sound signal u(k) input by the terminal as follows: Among them, x l represents the sound signal vector at the lth moment, λ k,l represents the lth weight parameter of the terminal signal filter at the kth iteration, α l Represents the sound signal vector x l The echo path function, ε k Represents the noise signal vector, and then updates the terminal signal filter weight parameters through iterative calculation. In the iterative calculation, the compensation function S is defined, and the formula is as follows: S=Δ k+1 (u(k)), Among them, Δ k+1 (·) represents the k+1 order difference. Based on the compensation function, the weight parameters in the iterative process of the terminal filter are optimized and updated. In the process of optimizing and updating the weight parameters, the optimization control matrix D is defined. The values ​​in the optimization control matrix are calculated as follows: Among them, d i,j represents the value of the i-th row and j-th column of the optimization control matrix D, M k represents the order of the terminal signal filter at k iterations, λ k,1 , k,j , k,n They represent the first weight parameter of the terminal signal filter at the kth iteration, the jth weight parameter of the terminal signal filter at the kth iteration, and the nth weight parameter of the terminal signal filter at the kth iteration. Based on the optimization control matrix D, the weight parameters of the terminal signal filter are updated in the following way: Among them, λ k , k+1 They represent the weight vector composed of the weight parameters of the terminal signal filter at the kth iteration and the weight vector composed of the weight parameters of the terminal signal filter at the k+1th iteration, respectively. k represents the optimal control matrix of the terminal signal filter at k iterations, represents the terminal signal filter weight parameter update control coefficient, (·) T Represents transposition, and based on the optimized weight parameters, the terminal signal filter is gradually optimized.

2. A mine disaster relief communication system according to claim 1, characterized in that: The communication terminal module is equipped with a communication terminal including a sound signal collecting part and a sound signal playing part. The communication terminal is divided into a central terminal and a user terminal. The sound signal collecting part and the sound signal playing part are connected by a metal wire, and the communication terminal is powered by a battery.

3. A mine disaster relief communication system according to claim 1, characterized in that: The communication base station module is achieved by installing micro communication base stations at key locations in the mining area, including the mining construction area, the mining office, the mining center, and the mining edge. Gateways are installed in the areas where the micro communication base stations are installed. The micro communication base stations and the gateways are combined to form a signal communication channel.

4. A mine disaster relief communication system according to claim 1, characterized in that: The communication node planning model constructs a communication node network, proposes an objective function, and performs network communication path planning.

5. A mine disaster relief communication system according to claim 4, characterized in that: The communication node network is constructed. For all the micro emergency communication base stations installed in the mining area, a communication node network is formed according to their relative positions, and the corresponding gateway relay nodes are matched. In the process of network communication path planning, simulated network nodes and back-end simulated nodes are defined. The simulated network nodes move paths in the communication node network. The network communication path planning has a communication step length calculation formula as follows: Among them, L i represents the communication step length, C represents the channel state, l i Indicates the interval between the simulated network node and the subsequent simulated node, g represents the mobile variable, and the simulated network node defines the simulated network node beacon during the network communication path planning process. The communication node in the communication node network matching the simulated network node is passed the beacon, and the beacon iteration method is as follows: Among them, f i,k 、f i,k-1 They represent the beacon degree of the i-th simulated network node after k-th path movement and the beacon degree of the i-th simulated network node after k-1-th path movement, respectively. i represents the transfer coefficient of the signal level of the ith simulated network node, ζ i,k,j represents the unit distance of the kth path movement of the ith simulated network node through the jth communication node of the communication node network, β i It represents the dispersion degree of the path movement of the i-th simulated network node. Based on the beacon degree of the simulated network node, the network communication path planning objective function Q is constructed. The function formula is as follows: Among them, f i represents the signal level of the ith simulated network node, y t represents the signal level of the tth node in the communication node network, [·] n It means that after n path moves, based on the objective function, the communication path planning rules are defined to carry out network communication path planning. The communication path planning rules are as follows: Among them, θ represents the learning parameter, which is adjusted and set according to the actual needs of path planning.

6. A mine disaster relief communication system according to claim 1, characterized in that: The terminal positioning module, the communication terminal sends specific location information to the central terminal, including horizontal location information and vertical location information. The power management method manages the battery life of the communication terminal by controlling the user terminal signal transmission mode to intermittent transmission. The intermittent transmission is to open the signal transmission channel at intervals of a period of time. When the signal transmission channel is closed, the user terminal does not collect sound signals.

7. The method for using the mine disaster relief communication system according to any one of claims 1 to 6, characterized in that: First, users inside the mine and users outside are equipped with communication terminals to provide a way for mutual communication. Then, micro emergency communication base stations and gateways are installed inside and outside the mine area to realize the connection of communication signals between communication terminals. The communication terminals here are limited to only allow signal transmission between external users and internal users. In the communication process between terminals, noise elimination algorithms are used to reduce and eliminate noise. The communication paths between terminals are planned using communication node planning models to enhance the signals of communication terminals. The communication terminal has a built-in positioning module, which intermittently sends location information to the outside and intermittently opens the signal transmission channel.

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