CN111396131A - Device for tracking and early warning composite coal and rock dynamic disasters of mine in real time - Google Patents
Device for tracking and early warning composite coal and rock dynamic disasters of mine in real time Download PDFInfo
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Abstract
The invention discloses a device for tracking and early warning mine composite coal rock dynamic disasters in real time, which comprises a microseismic signal acquisition unit, a gas parameter acquisition unit, a data analysis and reasoning module, a voice player, a control module, a data system and a unit for displaying an original data analysis result, wherein the microseismic signal acquisition unit is connected with the data system through a cable signal, the gas parameter acquisition unit is connected with the data system through a cable signal, the data system is connected with the data analysis and reasoning module through a cable signal, the data analysis and reasoning module is connected with the voice player, the control module, the unit for displaying the original data analysis result and the original data analysis result uploading unit through a cable signal, and the data system is connected with the original data analysis result uploading unit through a cable signal. The equipment is suitable for all coal mines with coal and gas outburst and rock burst risks, in particular to outburst mines with rock burst risks and mines with large mining depths and strong mine pressure display.
Description
Technical Field
The invention relates to the technical field of monitoring devices, in particular to a device for tracking and early warning a mine composite coal and rock dynamic disaster in real time.
Background
Coal and gas outburst is a very complicated gas dynamic phenomenon under a coal mine, and is one of the most serious natural disasters under a well. The accepted prominent mechanisms are believed to be: "coal and gas outburst is the result of the comprehensive effect of the ground stress, the gas and the physical and mechanical properties of the coal"; according to the view, domestic treatment of coal and gas outburst is mainly put on treatment of gas factors, research, development and application of various gas extraction technologies are carried out, and the 'double six' index of the industry is provided to prevent treatment of coal and gas outburst, namely pre-extraction of coal bed gas, and as long as the coal bed gas pressure is less than 0.6 MPa and the coal bed gas content is less than 6m3/t, outburst danger is considered to be eliminated; the regional gas pre-pumping measures really reduce the outburst risk of the coal seam, so that the outburst accident rate is reduced. However, in recent years, in the major domestic mining areas with outburst risks, on the premise that regional drainage measures are in place and the indexes of 'double six' are achieved, coal seams judged to have no outburst risks after prediction still have many coal and gas outburst accidents, and some outburst coal seams have the characteristics of remarkable rock burst:
the characteristics and prevention and control of coal and gas outburst accidents are summarized, and the current outburst accidents have the following characteristics:
1) the outburst gas quantity of a plurality of accidents is smaller, and the average gas quantity per ton of coal is only 20m more than 3/t;
1) the application of regional pre-pumping measures reduces the gas content of the mined coal seam in a large area;
2) the current outburst prediction index can only well reflect the outburst gas factor, and a detection means and a prediction index which can well reflect the ground stress factor are lacked;
3) the effect of the ground stress factor in the existing outstanding accident is relatively large; the reasons for the early warning are more and more transferred to old mining areas for deep mining, the scientific research investment on ground stress outburst prevention early warning measures is insufficient, and no mature detection means is used for monitoring, tracking and early warning the change of the ground stress.
The method has the advantages that the deep mining condition of old mines is common, and many mines have not only outburst disasters, but also rock burst disasters; for outburst mines, the prevention and control of outburst and rock burst combined coal and rock dynamic disasters in deep mining is a problem to be solved urgently. The same problems are faced in the national deep mining, such as mining areas in Huainan and Huaibei, mining areas in Shandong and mining areas in Shanxi.
Therefore, the research and development of equipment capable of tracking and early warning the mine outburst and rock burst composite coal and rock dynamic disasters in real time becomes an urgent task for preventing and controlling the outburst accidents of impact type coal and gas during deep mining.
Disclosure of Invention
In order to solve the technical problems, the invention provides the following technical scheme:
the invention discloses a device for tracking and early warning mine composite coal and rock dynamic disasters in real time, which comprises a microseismic signal acquisition unit, a gas parameter acquisition unit, a data analysis and reasoning module, a voice player, a control module, a data system, a unit for displaying an original data analysis result and an original data analysis result uploading unit, the microseismic signal acquisition unit is connected with the data system through a cable signal, the gas parameter acquisition unit is connected with the data system through a cable signal, the data system is connected with the data analysis and reasoning module through a cable signal, the data analysis and reasoning module is connected with the voice player, the control module, the unit for displaying the analysis result of the original data and the uploading unit of the analysis result of the original data through a cable signal, the data system is connected with the original data analysis result uploading unit through a cable signal, and the original data analysis result uploading unit is connected with the ground central station through a signal.
As a preferable technical scheme of the invention, the microseismic signal acquisition unit is internally provided with a microseismic sensor.
As a preferred technical scheme of the invention, the gas parameter collector is internally provided with a gas and wind speed sensor.
As a preferred technical scheme of the invention, the control module sends an instruction by the power-off control module, and the power supply of the electric equipment in the monitoring area is cut off by the power-off instrument for control.
As a preferred technical solution of the present invention, the raw data analysis result uploading unit transmits the raw data analysis result to the ground central station in any one of the following two ways:
a. the data are transmitted to a server of the mine ground central station through a metal cable and a looped network optical fiber;
b. and transmitting the real-time data to a remote expert analysis center server of the ground central station through an intenet network.
1) Microseismic signal acquisition unit: the method mainly collects effective microseismic signals, filters mechanical noise signals, counts microseismic signal parameters of each analysis time interval, and has the following composition and functions:
a low-pass filter: the microseismic sensor current pulse signal is converted into a voltage signal, only the signal with the frequency lower than 300hz passes through, and the signal with the frequency higher than 300hz is filtered.
Signal arrival time collector: once the microseismic signal is detected, the arrival time of the signal is immediately collected by a clock in an interruption mode, and the time precision reaches to millisecond; and simultaneously, starting the high-speed data acquisition device by interrupt software.
A high-speed data acquisition unit: collecting analog signals at the rate of 100MHZ per second with the highest priority, and converting the analog signals into digital signals; and determining the maximum amplitude Ai of each pulse signal through comparison, and judging the duration Ti of each microseismic signal.
A waveform comparator: and comparing the acquired digital waveform with the characteristics of the mechanical noise signal, and filtering the mechanical noise signal when judging whether the signal is a mechanical noise interference signal (the amplitude of each pulse signal of the mechanical noise signal is basically the same, and the period of the signal is a fixed value).
The event number counter counts every minute, every hour, every operation class (the on-off time of every operation class is issued by a ground central station), every day, the number of small events Ai (a small-energy microseismic signal released when the coal rock is damaged, and a microseismic signal may comprise a plurality of pulse signals, and the term in the field refers the microseismic signal to be a primary event from the beginning to the end), and the number of large events L i (a microseismic signal released when the coal rock is structurally damaged under the action of stress, and the criterion is determined by a mechanical damage test in a laboratory).
And the energy statistics device is used for counting small event energy and large event energy per day, and E is ∑ Hi2+ Hi2, wherein the small event energy and the large event energy are counted every minute, every hour, every work shift (the on-off time of each work shift is issued by the ground central station).
Micro seismic source positioning calculator: more than 4 micro-seismic sensors are simultaneously installed on the working surface, and the plane coordinates of the seismic source can be determined by acquiring the arrival time difference of seismic source waves to the 4 sensors and adopting a normalized square matrix positioning method (X, Y).
And counting the number of the sensors receiving the same microseismic signal, and calculating the identical rate η of the received signal, namely N/N, the total number of the microseismic sensors arranged on the working surface, and N, the number of the received microseismic signals.
2) A gas parameter collector: calling a gas and wind speed sensor in an RS485 mode, acquiring the monitored gas and wind speed data at the speed of 1hz per second, and calculating the average gas concentration Ci and the accumulated gas emission Qi in minutes/hour/class/day by inputting the section area of a roadway of an installation site. When a microseismic signal is detected and the gas concentration is suddenly increased, counting of the blasting gas emission quantity can be started for a driving working face; and evaluating the gas characteristics of the coal seam of the working face by counting the gas emission amount within 30 minutes during blasting each time.
3) A data analysis inference device module is a patent number Z L200910254614.1 named as a system and a method for predicting the outburst risk of mine coal and gas in real time, which particularly describes a method for automatically establishing and checking an outburst risk criterion index and a critical value through an artificial intelligence technology, carries out statistics, analysis and comparison on parameters according to a certain time interval, judges whether a working surface is in a normal area, a threat area or a danger area currently through analyzing whether the parameters are abnormal or have substantial quality change (exceeding the danger criterion), and successfully verifies in practice.
For the early warning of the composite coal and rock dynamic disasters of the mine, the most difficult is how to accurately judge and timely identify the five possible coal and rock dynamic disasters; these five dynamic disasters are not the result of a single parameter, and field studies show that: it is a result of the combined action of a number of factors. Such as: in a composite coal rock dynamic disaster, coal and gas outburst is a complex dynamic phenomenon, and a relatively unified view is that: the outburst is the result of the comprehensive action of gas, ground stress and coal quality; the comprehensive effect is a very fuzzy view, which shows that there is a relationship between the three factors, but the relationship is difficult to describe by a given formula or function, which is the ambiguity of the comprehensive effect of the factors.
For example, the change of the Qi gas emission quantity is related to three factors of gas, ground stress and coal bed occurrence conditions, and the change of Qi may be the result of the change of the coal bed gas content; the permeability of the coal seam may be changed due to the action of the ground stress, and the thickness, the geological structure and the occurrence conditions of the coal seam may be changed; it may also be the result of 2 or three of these factors acting together; for the situation, the comprehensive index of the composite coal rock dynamic disaster can be obtained by a fuzzy comprehensive evaluation method. Through research, the five composite coal and rock dynamic disasters have the characteristics that the states and precursor information before and during the occurrence are different, the displayed characteristics of gas concentration and microseismic signals are different, and the characteristics provide a basis for identifying and comprehensively analyzing the composite coal and rock dynamic disasters.
In the composite coal rock dynamic disaster risk analysis, 6 analysis variables are adopted:
(1) gas emission quantity Qi in ith time interval
(2) Gas concentration Ci in ith time interval
(3) Blasting gas emission V30i in ith time interval
(4) Number of small events Ai in ith time interval
(5) Large number of events L i in ith time interval
(6) Energy Ei in ith time interval
The fuzzy vectors for these 6 analysis parameters are as follows:
A＝{Qi、Ci、V30i，Ai、Li、Ei}…………………………………………………(2)
the comprehensive criterion index A is a membership function of the 6 variables, and a fuzzy relation matrix of the 6 parameters is as follows:
in the formula: the result of the action of two factors, such as Qiai, is the relationship between the action of the gas emission and the total number of small events.
The fuzzy criterion indexes of the composite coal rock dynamic disaster are as follows:
the above equation can be solved in two ways:
(1) the main factors are prominent:
Bj＝max{min(QiQi,QiCi),…,min(QiLi,QiEi)}……………………(5)
(2) weighted average type
Bj＝QiQi+QiCi+QiV30i+QiAi+QiLi+QiEi……………………………(6)
The fuzzy comprehensive criterion analysis method is suitable for computer simulation operation, adopts an artificial intelligence technology, obtains fuzzy corresponding relation between factors under a specific environment through feedback comparison and gradual refinement of an actual result and a forecast result, and establishes a composite coal and rock dynamic disaster comprehensive judgment mathematical model suitable for actual conditions of an installation mine.
Aiming at the characteristic that the composite coal and rock dynamic disaster takes ground stress and gas as main energy, the device takes the number of small events Ai, the number of large events L i, the energy Ei and the concordance rate η of microseismic signals, and the gas emission quantity Qi and the gas concentration of a working face as analysis parameters, and deduces the danger, the possible accident type and the scale of the composite coal and rock dynamic disaster which can happen by analyzing the dynamic changes of the ground stress, the gas concentration and the gas emission quantity on the same time and space, wherein the concordance rate η is calculated according to the following formula:
n-number of Sensors to receive microseismic signals
N-total number of microseismic sensors
η -reflecting the intensity of the microseisms received and the ranges involved
5) A control module: and sending an instruction by the power-off control module according to the analysis result of the data analyzer and the requirement of 'anti-outburst and thin rule' of the industry, and cutting off the power supply of the electric equipment in the monitoring area by the power-off instrument for control.
6) A data system: the device applies an artificial intelligence technology, has a self-learning function, and can automatically establish and check criterion indexes suitable for installing the mine early warning composite coal rock dynamic disaster; the following databases were built autonomously:
(1) installing a mine coal seam basic parameter database: the number of the coal seam, the thickness of the coal seam, the inclination angle of the coal seam and the lithology of the top floor are input into a ground central station, the periodic pressure step distance counted in the early stage of the mine, the thickness and the strength of a main bearing layer and the distance from the coal seam (the above are the most original data and only need to be input for 1 time) are sent to the equipment to be used as analysis basis.
(2) A primary database: performing statistical arrangement on the original data to establish a database, and using the database as a basis for cleaning and arranging the data, establishing criteria and performing data reasoning analysis;
(3) a criterion library: the initial criterion index of the minute/hour/shift/day data suitable for installing a mine and a monitored coal bed can be formed by counting, processing and cleaning the original data for the first time, wherein about 20 days are needed;
(4) an alarm library: when capturing precursor information of a mine composite dynamic disaster, carrying out statistical analysis on the precursor information and storing corresponding parameters, giving an alarm according to the degree of the danger, and simultaneously establishing an alarm library so as to be used as a basis for judging whether the forecast is accurate and starting to check a criterion index;
(5) an accident case library: once the occurrence of the dynamic phenomenon is detected, the whole process of the composite coal and rock dynamic disaster is tracked, each dynamic disaster is analyzed and processed, a characteristic value is searched, and an accident library is established, except that emergency alarm is given out;
(6) once the artificial intelligence learning module detects that the composite power disaster is ended, the artificial intelligence learning module starts a self-correcting function; looking up an alarm library, and correcting the criterion according to the early warning level sent out before the dynamic disaster and the type and the characteristic value of the actual dynamic disaster; if the forecast is accurate, the criterion is finely adjusted; if the forecast is not accurate, the current characteristic value is used for replacing the initial value; the method can lead the equipment criterion of the monitoring working face of the mine to gradually trend to a true value, and improve the accuracy of analysis and judgment.
7) A display raw data analysis result unit: a. displaying original data, namely original data such as small events, large events, energy and the like every minute/hour/work shift/day;
b. displaying the analysis result in real time, namely displaying the analysis result at intervals of minutes/hours/work shift/day;
8) a raw data analysis result uploading unit: the data transmission part is composed of the following components:
a. transmitting the data to a mine ground monitoring center server through a metal cable and a looped network optical fiber;
b. transmitting the real-time data to a remote expert analysis center server through an intenet network; the invention has the beneficial effects that:
one is as follows: the concept of tracking and early warning the mine outburst and rock burst composite coal and rock dynamic disasters is put forward for the first time, and corresponding equipment is developed; the on-site test is carried out in the outburst mine with the mining depth of over 1000m, and the effect is very satisfactory; the purpose of monitoring the danger of the mine which is not only in danger of outburst of coal and gas, but also in danger of rock burst and comprehensive early warning composite coal and rock dynamic disasters is achieved.
The second step is as follows: the device realizes data acquisition of the ground stress and the gas of the power source of the composite coal rock dynamic disaster; by analyzing the change relation of the ground stress and the gas, the expression forms and the combination sizes of the two parameters and the mutual existence or non-interactive relation in the same time and space, the identification and the differentiation of the type of the composite coal and rock dynamic disaster and the scale of possible disasters are possible.
And thirdly: the device applies an artificial intelligence technology, and solves the problems of logical judgment of composite coal and rock dynamic disasters, automatic searching and checking of criterion indexes; simple, intelligent and high in practicability.
Fourthly, the method comprises the following steps: the method for on-site installation and maintenance is very simple, the method is installed on a tunneling working face or a stope working face, the space and time of the working face are not occupied, and continuous and real-time early warning analysis can be realized;
the equipment is suitable for all coal mines with coal and gas outburst and rock burst risks, in particular to outburst mines with rock burst risks and mines with large mining depths and strong mine pressure display; the device takes microseismic signals released when the coal rock is damaged and the concentration and the emission quantity of gas in a roadway as analysis objects, solves the problem that the composite coal rock dynamic disaster cannot be monitored in real time, makes the real-time early warning of the danger of the composite coal rock dynamic disaster with the mine outburst and the rock burst possible, can improve the prediction accuracy of the composite coal rock dynamic disaster with the mine outburst and the rock burst to more than 90 percent, and reaches the world leading level.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a first structural diagram of a device for early warning of mine outburst and rock burst dynamic disasters according to the invention;
FIG. 2 is a schematic view of the ripping face sensor mounting arrangement of the present invention;
FIG. 3 is a schematic view of the installation of the microseismic sensor of the present invention;
FIG. 4 is a schematic view of a stope face sensor mounting arrangement of the present invention.
In the figure: the microseismic signal acquisition unit comprises a microseismic signal acquisition unit 1, a gas parameter acquisition unit 2, a data analysis reasoning module 3, a voice player 4, a control module 5, a data system 6, a raw data analysis result display unit 7 and a raw data analysis result uploading unit 8.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example (b): as shown in fig. 1, 2, 3 and 4, the device for tracking and early warning the composite coal and rock dynamic disaster of the mine in real time comprises a microseismic signal acquisition unit 1, a gas parameter acquisition unit 2, a data analysis and inference module 3, a voice player 4, a control module 5, a data system 6, a unit for displaying an original data analysis result 7 and an original data analysis result uploading unit 8, wherein the microseismic signal acquisition unit 1 is connected with the data system 6 through a cable signal, the gas parameter acquisition unit 2 is connected with the data system 6 through a cable signal, the data system 6 is connected with the data analysis and inference module 3 through a cable signal, the data analysis and inference module 3 is connected with the voice player 4, the control module 5, the unit for displaying an original data analysis result 7 and the original data analysis result uploading unit 8 through a cable signal, the data system 6 is connected with the original data analysis result uploading unit 8 through a cable signal, and the original data analysis result uploading unit 8 is in signal connection with the ground central station.
Further, the microseismic signal acquisition unit 1 is internally provided with a microseismic sensor.
Further, a gas and wind speed sensor is arranged in the gas parameter collector 2.
Furthermore, the control module 5 sends an instruction by the power-off control module, and cuts off the power supply of the electric equipment in the monitoring area through the power-off instrument for control.
Further, the raw data analysis result uploading unit 8 transmits the raw data analysis result to the ground central station in any one of the following two ways:
a. the data are transmitted to a server of the mine ground central station through a metal cable and a looped network optical fiber;
b. and transmitting the real-time data to a remote expert analysis center server of the ground central station through an intenet network.
The method is mainly used on the working faces of tunneling and stoping in coal mines, and the installation method on the two working faces comprises the following steps:
1) the heading face is installed as shown in figure 2:
a. drilling 2.5-3.5 m drill holes on two sides of a roadway 15m behind the tillite head of a tunneling working face, respectively, inserting iron rods (wave guide rods), tightly driving the iron rods into a coal bed, and mounting microseismic sensors on the iron rods at the orifices of the drill holes; the depth of the drill hole is determined according to the integrity degree of the roadway, the more the roadway is broken, the deeper the drill hole to be drilled is, and the purpose of the drill hole is to arrange a receiving point of the seismic signal outside a broken circle of the roadway. See schematic diagram 3 according to the installation situation of the microseismic sensor.
b. And (3) mounting a group of microseismic sensors 30 meters behind the first group of microseismic sensors (the mounting distance can be changed according to actual conditions) by the same method.
So far, two groups of 4 microseismic sensors monitor the range of 150 meters in front of the working face, 200 meters behind the working face and 150 meters (at least) of each of the two sides of the roadway, and the movement of the ground stress of the working face in the area is monitored by the 4 microseismic sensors.
c. 1 group of gas and wind speed sensors are arranged at a position (T1) 15 m-20 m away from the heading working face, 1 group of gas and wind speed sensors are arranged at a distance of 20m behind the position T1, and 2 groups of gas and wind speed sensors complement each other to form a roadway gas concentration, ventilation state and gas emission amount monitoring unit.
d. 1 voice player is installed in a tillite member gathering area of a tunneling working face, and 1 voice player is installed in an air door in an accident manner; and broadcasting prompt information.
e. When the working face advances by 30m, i.e. the first group of sensors is 45m away from the tillite head, the microseismic sensor at the farthest position is removed, the microseismic sensor is reinstalled at the 15m position of the working face away from the tillite head, and other gas and wind speed sensors move forward.
2) The stope face installation method is shown in figure 4
a. Respectively installing 4 groups of micro-seismic sensors on an air inlet roadway and an air return roadway of a stope face, wherein the first group is 60 meters away from the working face, and the distance between the other sensors is 30 meters;
so far, two groups of 8 microseismic sensors monitor the range of at least 200 meters ahead of the working surface, and the activity of the ground stress of the working surface in the area is monitored by the 8 microseismic sensors;
b. 1 group of gas and wind speed sensors are arranged at the position of a return airway T1, 1 group of gas and wind speed sensors are arranged at the position of T2, and 2 groups of gas and wind speed sensors are mutually supplemented to form a monitoring unit for the gas concentration, the ventilation state and the gas emission quantity of the airway.
c. 1 voice player is installed in the air intake lane personnel gathering area, and 1 voice player is installed in the air door in an accident manner; and broadcasting prompt information.
d. When the working face is pushed to a position 20 meters away from the nearest microseismic sensor, the iron drill rod is pulled out, and the microseismic sensor at the farthest position in front of the working face is drilled again at a position 30 meters away from the microseismic sensor; the gas and wind speed sensors also move correspondingly.
In the description of the present invention, it should be noted that the terms "vertical", "upper", "lower", "horizontal", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. The device for tracking and early warning the mine composite coal and rock dynamic disasters in real time comprises a micro-seismic signal acquisition unit (1), a gas parameter acquisition unit (2), a data analysis and reasoning module (3), a voice player (4), a control module (5), a data system (6), a unit (7) for displaying an original data analysis result and an original data analysis result uploading unit (8), and is characterized in that the micro-seismic signal acquisition unit (1) is connected with the data system (6) through a cable signal, the gas parameter acquisition unit (2) is connected with the data system (6) through a cable signal, the data system (6) is connected with the data analysis and reasoning module (3) through a cable signal, and the data analysis and reasoning module (3) is connected with the voice player (4), the control module (5) through a cable signal, the unit (7) for displaying an original data analysis result, The data system (6) is connected with the original data analysis result uploading unit (8) through a cable signal, and the original data analysis result uploading unit (8) is connected with the ground central station through a signal.
2. The device for tracking and early warning the composite coal and rock dynamic disaster of the mine in real time according to claim 1, wherein a microseismic sensor is arranged in the microseismic signal acquisition unit (1).
3. The device for tracking and early warning the mine composite coal and rock dynamic disasters in real time according to claim 1, wherein a gas and wind speed sensor is arranged in the gas parameter collector (2).
4. The device for tracking and early warning the composite coal and rock dynamic disaster of the mine in real time as claimed in claim 1, wherein the control module (5) sends an instruction by a power-off control module, and the power supply of electric equipment in a monitored area is cut off by a power-off instrument for control.
5. The device for tracking and early warning the composite coal and rock dynamic disaster of the mine in real time as claimed in claim 1, wherein the original data analysis result uploading unit (8) is in transmission with the ground central station in any one of the following two ways:
a. the data are transmitted to a server of the mine ground central station through a metal cable and a looped network optical fiber;
b. and transmitting the real-time data to a remote expert analysis center server of the ground central station through an intenet network.
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