CN113153431A - Coal and rock dynamic disaster monitoring and early warning visualization system and method based on 5G communication - Google Patents
Coal and rock dynamic disaster monitoring and early warning visualization system and method based on 5G communication Download PDFInfo
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
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Abstract
The invention discloses a coal and rock dynamic disaster monitoring and early warning visualization system and method based on 5G communication, belonging to the field of coal and rock dynamic disaster monitoring and early warning, wherein the monitoring and early warning system comprises an underground multi-parameter monitoring module, a VR visualization monitoring system, a 5G multi-network fusion system, a multi-source information online early warning system and a remote online monitoring platform; the monitoring and early warning method comprises the following processes: transmitting the parameter information such as sound-light-electricity-gas-displacement and the like collected by the multi-parameter monitoring module to a 5G multi-network fusion system for processing, converting the parameter information into a 5G signal, transmitting the signal into a multi-source information online early warning system, displaying underground monitoring parameters in real time through a connected remote online monitoring platform, analyzing and processing the multi-parameter signal, and performing early warning of different levels. The invention can realize the double effects of parameter alarm and visual alarm for the underground coal and rock dynamic disaster, can monitor and early warn the coal and rock dynamic disaster danger and the occurrence area in time and space, and accurately position the occurrence range and the danger degree of the danger area.
Description
Technical Field
The invention belongs to the field of coal and rock dynamic disaster monitoring and early warning, and particularly relates to a coal and rock dynamic disaster monitoring and early warning visualization system and method based on 5G communication.
Background
China is one of the most serious countries of the world with coal rock dynamic disasters, and huge losses and casualties are brought to the safe production of coal mines in China. The coal-rock dynamic disasters mainly comprise rock burst, coal and gas outburst, roof accidents and coal-rock and gas composite dynamic disasters, and have the characteristics of sudden, sharp and violent property and the like, the damage degree is high, the influence range is wide, other major accidents are easily induced, and the coal-rock dynamic disasters seriously destroy mining spaces such as roadways and the like and damage ventilation systems which ensure safety. The disaster process is accompanied with the gas emission abnormity of the mine, and the serious gas explosion accident is often induced, so that the group death and group damage are caused. With the increase of the mining depth and the mining intensity of coal resources in China, the number of mines with dynamic disasters such as rock burst, coal and gas outburst and the like is rapidly increased, and the accident frequency and intensity are also obviously increased. Researches show that important reasons for slow control progress of coal mine dynamic disasters are lack of effective monitoring and early warning theories and instruments, lack of reliable monitoring bases and lack of continuous attack and customs of multidisciplinary combination. Although a great deal of research and experiments are carried out by a plurality of scientific research institutions and scientific research personnel at home and abroad in recent years to obtain a plurality of scientific research achievements, the requirements of effective prediction and early warning are far from being met.
Research shows that the coal and rock dynamic disaster monitoring and early warning method in China at the present stage mainly comprises the following steps: (1) the method utilizes one energy radiation in the coal rock rheological-sudden change damage process to realize early warning of the dynamic disaster, realizes non-contact, directional and real-time monitoring and early warning by the electromagnetic radiation monitoring equipment, realizes real-time monitoring of the whole process and the whole space of the coal rock dynamic disaster, obviously improves the monitoring information quantity and the accuracy rate, and is very simple and convenient to operate. (2) The acoustic emission monitoring and early warning method is a method which utilizes the deformation of the coal rock mass under the load effect and releases the energy in the coal rock mass in the form of stress waves to generate acoustic emission signals so as to carry out early warning, and the acoustic emission monitoring technology is widely applied to coal mine production in China, obtains great results and can successfully apply the acoustic emission technical theory to analyze the dynamic disasters of the coal rock of the mine; the method can successfully monitor the area where the power disaster occurs, and adopts protective measures, thereby promoting the safe production of mines in China. However, the acoustic emission technology has its own disadvantages and has certain limitations, and its development is a long process. (3) The microseism monitoring technology is used as a monitoring means converted from the geodetic earthquake industry, has the function of dynamically monitoring the damage position and degree of a rock mass in real time, and is more and more widely applied to the field of mine dynamic disaster monitoring and early warning in recent years. The principle of the microseismic monitoring technology is passive monitoring, the device is installed in an underground roadway space in advance, and the device has no influence on production in the operation process. However, the technology has certain limitations on mines with complex environments and high arrangement difficulty, and further research is needed for the wide application of the technology.
In the existing coal and rock dynamic disaster monitoring and early warning technology, the monitoring and early warning system and method have high cost and certain limitations, cannot realize rapid and efficient signal transmission, and have severe use environment and certain danger; and because the arrangement of the sensors is easily influenced by the special environment of the mine, and the detection area and the position are easily limited by time and space, the difficulty of detecting the coal rock dynamic disasters of the underground working face and the tunneling face is higher, and no effective solution is provided for the problems.
Disclosure of Invention
In order to solve the problems, the invention provides a coal rock dynamic disaster monitoring and early warning visualization system and method based on 5G communication, which integrates detection, alarm and VR visualization, and has the advantages of high detection efficiency, simplicity, rapidness, accuracy and easiness in arrangement.
The technical scheme of the invention is as follows:
a coal and rock dynamic disaster monitoring and early warning visualization system and method based on 5G communication comprises an underground multi-parameter monitoring module, a VR visualization monitoring system, a 5G multi-network fusion system, a multi-source information online early warning system and a remote online monitoring platform, wherein all the systems and the platforms are connected through a 5G private network;
the VR visual monitoring system comprises a 5G special video probe and a visual monitoring platform;
the underground multi-parameter monitoring module comprises various sensors, and the various sensors are connected with the 5G special video probe through a wired transmission cable; the 5G special video probe and various sensors are accessed into the 5G multi-network fusion system together; the multi-source information online early warning system is connected with the remote online monitoring platform.
Preferably, the downhole multi-parameter monitoring module comprises a gas sensor, an infrared temperature sensor, an acoustic sensor, an optical sensor, a potential sensor and a displacement sensor.
Preferably, the 5G multi-network convergence system comprises a 5G system substation, a 5G ring network switch and a 5G private transmission network; the 5G system substation is internally provided with a 5G base station and is connected with various sensors through wired transmission cables.
Preferably, the multi-source information online early warning system comprises an online monitoring service system and an online alarm system.
Preferably, the remote online monitoring platform comprises a fixed host monitoring platform and a mobile phone monitoring platform, and both are internally provided with a visual monitoring platform.
A coal and rock dynamic disaster monitoring and early warning visualization method based on 5G communication adopts the coal and rock dynamic disaster monitoring and early warning visualization system, and based on a 5G transmission private network and VR visualization, the coal and rock dynamic disaster monitoring and early warning method integrates detection, alarm and VR visualization; the method comprises the following specific steps:
s1, arranging various sensors and 5G special video probes on a working face and a tunneling face of a mine;
S2.5G, collecting the collected sensor information and VR visual information by the substation of the system and sending the collected sensor information and VR visual information to the 5G ring network switch;
S3.5G the ring network switch converts various signals into 5G signals, and transmits the signals to the multi-source information online early warning system on the ground through a 5G transmission private network;
s4, analyzing and processing various signals by the multi-source information online early warning system, and giving an alarm when monitoring data is abnormal;
and S5, transmitting the alarm signal to a remote online monitoring platform, wherein green monitoring data and the monitoring platform are changed into red when alarming is carried out, and the VR visual monitoring platform displays the disaster occurrence process and position to operators in a video mode.
Preferably, in step S4, the alarm types are six, namely, first-level disaster alarm, second-level disaster alarm, third-level disaster alarm, fourth-level disaster alarm, fifth-level disaster alarm and sixth-level disaster alarm; when only one monitoring data is abnormal, the monitoring data is a first-level disaster and is alarmed corresponding to the first-level disaster; and when more than two monitoring data are abnormal, corresponding to the second-level to sixth-level disasters with different grades respectively, and correspondingly performing second-level to sixth-level disaster alarm.
Preferably, the disaster judgment of more than two levels relates to cross analysis of multiple information, in particular to an online monitoring service system built in a ground multisource information online early warning system, various parameter signals from the underground are compared and analyzed, the grade number of the disaster is judged according to the type of abnormal conditions of the parameters, the position where abnormal alarm occurs is accurately positioned, and alarm of different grades is realized according to different disaster grades.
The invention has the following beneficial technical effects:
a coal rock dynamic disaster monitoring and early warning visualization system and method based on 5G communication monitors and early warns dangerousness and range of a coal mine working face and a tunneling face in time and space; the VR visual monitoring system covers all-around monitoring points of each sensor under the coal mine, can realize positioning and video monitoring on the area where the dynamic disaster occurs, and displays the process of the dynamic disaster occurring and developing; the non-contact continuous detection of coal and rock dynamic disaster areas such as a driving face, a working face and the like can be carried out; the system is low in cost, easy to arrange and monitor, and greatly saves the cost and budget of dynamic disaster monitoring and early warning of the mine on the driving face and the working face of the coal-rock moving mine; the system is simple to operate, is not limited by narrow underground space and special underground environment, and has no influence on production in the detection process; the system can synchronously process and analyze various monitoring parameters and dynamic change trends thereof in the detection process, analyze and judge the coal and rock dynamic disaster danger of a potential danger area in real time, and quickly and accurately realize the detection and early warning of mine fire danger; the system can realize dynamic real-time monitoring by checking index parameter change trend graphs of various sensors for monitoring in real time on a remote online monitoring platform; the system and the method have the advantages that the efficient, rapid and convenient detection and early warning are realized, and huge social benefits and economic benefits are certainly brought to mines.
Drawings
FIG. 1 is a block diagram of a coal rock dynamic disaster monitoring and early warning visualization system based on 5G communication;
FIG. 2 is a schematic structural diagram of a coal petrography dynamic disaster monitoring and early warning visualization system based on 5G communication;
FIG. 3 is an enlarged schematic view of various sensor system arrangements of the coal face of FIG. 2;
FIG. 4 is an enlarged schematic view of the arrangement of various sensor systems of the heading face of FIG. 2;
FIG. 5 is a process block diagram of a coal-rock dynamic disaster monitoring and early warning visualization method based on 5G communication;
wherein, the 1-5G system is a substation; 2-a gas sensor; 3-an infrared temperature sensor; 4-a potentiometric sensor; 5-a light sensor; 6-acoustic sensors; 7-a displacement sensor; the 8-5G special video probe; 9-wired transmission cable.
Detailed Description
The invention is described in further detail below with reference to the following figures and detailed description:
example 1
As shown in fig. 1 and 2, the coal and rock dynamic disaster monitoring and early warning visualization system based on 5G communication comprises an underground multi-parameter monitoring module, a VR visualization monitoring system, a 5G multi-network fusion system, a multi-source information online early warning system and a remote online monitoring platform.
The underground multi-parameter monitoring module comprises various sensors such as a gas sensor, an infrared temperature sensor, an acoustic sensor, an optical sensor, a potential sensor and a displacement sensor. Various sensors are respectively arranged on an underground tunneling surface and a working surface, the various sensors are connected by using a wired transmission cable, VR 5G special video probes are arranged around the sensors, the number and the density of the sensors and the 5G special video probes are determined according to respective monitoring range and precision, and 5G system substations which are responsible for receiving and transmitting parameter information captured by the sensors and the monitoring probes are arranged around the wired transmission cable.
The 5G multi-network fusion system comprises a 5G system substation, a 5G ring network switch and a 5G private transmission network, wherein a 5G base station is arranged in the 5G system substation. The 5G system substation receives data from the sensor and the 5G special video probe and transmits the data to the 5G ring network switch, the 5G ring network switch is arranged at the starting end of a detection roadway, the 5G system substation is connected by using a wired transmission cable, the 5G ring network switch converts parameter signals into 5G signals, the 5G transmission private network is used for transmitting the signals to the ground multi-source information online early warning system, and in the 5G multi-network fusion system, the parameter signals acquired by the sensor and the video signals acquired by the 5G special video probe of the VR visual monitoring system are synchronously transmitted.
The VR visual monitoring system comprises a 5G special video probe and a visual monitoring platform. The VR visual monitoring system realizes the transmission of video monitoring signals transmitted by a 5G high-definition camera, a 5G terminal and a visual monitoring platform, and is finally fused with a multi-source information online early warning system to form a monitoring system for underground real-time dynamic and disaster sensing, so that the real-time state of an underground monitoring area can be live broadcast online, the underground disaster occurrence and development process can be live broadcast online and restored online, and an operator can obtain various underground monitoring data and video data in real time through the visual monitoring platform and the multi-parameter monitoring platform.
The multi-source information online early warning system comprises an online monitoring service system and an online warning system. The on-line monitoring service system can classify, screen and process monitoring signals transmitted by a 5G transmission private network, a parameter calibration program is arranged in the on-line monitoring service system, after the whole coal and rock dynamic disaster monitoring and early warning system is started, normal reference values or ranges of monitoring indexes of various sensors are firstly input, the various sensors transmit real-time monitoring data to the on-line monitoring service system, the data which accord with the normal reference ranges are stored and fed back to a remote on-line monitoring platform, a dynamic curve graph is automatically generated, the monitoring data which do not accord with the normal reference ranges can be continuously transmitted to the on-line early warning system, the on-line early warning system selectively alarms according to the types of disasters, the alarm signals are transmitted to the remote on-line monitoring platform, the alarm signals are displayed, and the alarm is completed.
The remote online monitoring platform comprises a fixed host monitoring platform and a mobile phone monitoring platform, wherein VR visual monitoring platforms are arranged in the fixed host monitoring platform and the mobile phone monitoring platform. The fixed host monitoring platform is arranged in a mine monitoring dispatching room on the ground, and the mobile phone monitoring platform can be used for an operator to check underground parameters and VR video information at any time and any place; the built-in visual monitoring platform carries out matching processing on alarm signals of the multi-source information online early warning system, accurately finds out the position and the disaster type of the disaster, and restores the occurrence and development process of the disaster in a VR visual video mode.
The subsystems are connected through a 5G private transmission network. Various sensors and 5G special video probes are arranged on an underground coal face and a tunneling head, and a 5G ring network switch is connected, the 5G ring network switch is connected with an underground multi-source information online early warning system through a 5G transmission special network, the multi-source information online early warning system is connected with a remote online monitoring platform, an alarm signal gives an alarm at the remote online monitoring platform, a final monitoring early warning result is displayed for an operator, the operator can position a disaster occurrence area through a VR visual monitoring platform, and the whole coal rock dynamic disaster monitoring early warning system is controlled through the remote online monitoring platform.
FIGS. 3 and 4 show the specific arrangement of various sensors on the coal face and the heading face, wherein the various sensors are arranged on the two sides of the working face and in the equipment gap of the heading face; the coal rock dynamic disasters such as gas outburst, rock burst and roof accidents of the underground working face and the tunneling face are mainly monitored. The arrangement range and the density of various sensors depend on the monitoring range and the monitoring precision of the sensors. Various sensors are connected through a wired transmission cable 9, a 5G system substation 1 and a 5G special video probe 8 are connected on the wired transmission cable 9 in series, and the 5G ring network switch is arranged at one end of the wired transmission cable 9 or the initial end of a roadway. The 5G system substation 1 and various sensors are arranged on a wired transmission cable 9 of a working face and a tunneling face in series, and are responsible for receiving parameter signals sent by the sensors and sending the parameter signals to a 5G ring network switch; the 5G ring network switch is arranged at the beginning end of each tunneling roadway and is responsible for receiving and converting the 5G signals into 5G signals; the 5G transmission private network is a private network for transmitting 5G signals, and fast and efficient signal transmission is achieved underground.
Example 2
The method of the coal and rock dynamic disaster monitoring and early warning visualization system based on 5G communication is a monitoring and early warning method integrating detection, alarm and VR visualization, a detection device and a VR monitoring probe are arranged in a downhole part, an alarm system and a monitoring platform are arranged in an uphole part, different systems and platforms are connected by a 5G special network, VR visualization is used for realizing restoration and process monitoring of dynamic disasters, and double monitoring of parameters and videos is realized.
The monitoring and early warning method comprises the steps of carrying out data acquisition and video monitoring in real time through various sensors arranged on a mine working face and a tunneling face and a 5G special video probe, collecting and sending acquired sensor information and VR visual information to a 5G ring network switch through a 5G system substation, converting various signals into 5G signals through the 5G ring network switch, transmitting the 5G signals to a multi-source information online early warning system on the ground through a 5G transmission private network, analyzing and processing various signals by the multi-source information online early warning system, and alarming corresponding to a first-level disaster if only one item of monitored data is abnormal; if more than two types of monitoring data are abnormal, the monitoring data respectively correspond to second-level to sixth-level disasters with different levels, corresponding level disasters are alarmed, alarm signals are transmitted to a remote online monitoring platform, green monitoring data and the monitoring platform are changed into red in the multi-level alarming process, and a VR visual monitoring platform displays the disaster occurrence process and position to operators and shift leaders in a video mode.
Fig. 5 is a process block diagram of a coal-rock dynamic disaster monitoring and early warning visualization method based on 5G communication, and the monitoring and early warning process is specifically divided into the following six steps.
The first step is as follows: the system is arranged and operated, various sensors are fixed on two sides of a working face and a tunneling face, the sensors are connected by a wired transmission cable, 5G system substations are arranged among the sensors in an inserting mode, 5G special video probes are arranged around the sensors, and a 5G ring network switch is arranged at the beginning end of a roadway. And starting a monitoring system, initializing built-in software, and starting a program to run. During operation, the system prompts operation steps, and the remote online monitoring platform displays an operation process and monitoring and controlling indexes. When the device is started, the VR visual monitoring system starts whole-course monitoring, and a monitoring result is displayed on the platform.
The second step is that: and inputting parameters, namely inputting critical gas, temperature, sound, light, electricity and displacement parameters and ranges through an input keyboard, and taking the parameters as reference standards for monitoring and monitoring in the time period.
The third step: data acquisition and detection are carried out, sensors of monitoring points of key monitoring areas in the underground coal mine work simultaneously, and monitoring data are transmitted to a ground multi-source information online early warning system through a 5G multi-network fusion system.
The fourth step: and judging the disaster type, comparing various signals with an input reference standard by an online monitoring service system in the multi-source information online early warning system, and judging whether the disaster type is a single disaster type or a complex disaster type by the online early warning system according to the type of the abnormity of the parameter signals.
The fifth step: and VR display, namely, according to the disaster type and the disaster occurrence position judged by the multi-source information online early warning system, the visual monitoring platform is automatically switched to a disaster occurrence area, and the disaster occurrence development process is inverted in real time.
And a sixth step: alarming, wherein according to the predicted disaster type, if the disaster type is a single disaster type, the single disaster alarms; and if the disaster is the complex disaster type, alarming the complex disaster type.
The multi-source information online early warning system is a core early warning system of the invention, the early warning method comprises the types of primary disaster warning, secondary disaster warning, tertiary disaster warning, fourth-stage disaster warning, fifth-stage disaster warning, sixth-stage disaster warning and the like, the abnormal type of monitoring data of six underground sensors corresponds to the disaster warning stage number, and the judgment of the disasters of more than two stages relates to the cross analysis of multi-information. Specifically, the on-line monitoring service system built in the ground multi-source information on-line early warning system contrasts and analyzes various parameter signals from the underground, judges the stage number of a disaster according to the type of the parameter abnormal condition, accurately positions the position of abnormal alarm, realizes alarm at different levels according to different disaster grades, transmits different alarm signals to a remote on-line monitoring platform, the remote on-line monitoring platform utilizes a built-in VR visual monitoring platform to lock the position of the disaster and display the process of the disaster generation and development to an operator in a video mode, green data of the alarm signals is changed into red data when the monitoring platform alarms, and the alarm signals frequently flash to give out harsh alarm sound. In addition, the mobile phone monitoring platform and the fixed host monitoring platform realize synchronous alarm, and the mobile phone monitoring platform can be used for checking monitoring data and live-action data by operators and leaders on duty at any time and any place.
The sensors of the underground multi-parameter monitoring module are connected through a wired transmission cable, parameter information such as sound-light-electricity-gas-displacement and the like collected by the underground multi-parameter monitoring module is transmitted to a 5G system substation, the 5G system substation emits parameter signals, the parameter signals are transmitted to a 5G ring network switch through a 5G transmission private network, the 5G ring network switch analyzes and processes the 5G signals and converts the 5G signals into 5G signals, the 5G signals are transmitted to a multi-source information online early warning system, the multi-source information online early warning system is connected with a remote online monitoring platform, the remote online monitoring platform displays underground monitoring parameters in real time, analyzes and processes the multi-parameter signals, and early warnings of different levels are performed according to processing results. VR visual monitoring system and many parameter monitoring module in the pit are parallelly connected to turn into 5G signal transmission to multisource information on-line early warning system through 5G many networks integration system with monitoring data, finally show the outdoor scene information and the integration of calamity information at visual monitoring platform, visual monitoring platform sets up inside long-range on-line monitoring platform, realize that VR visual monitoring goes on with sensor monitoring in step, and realize that unusual regional corresponds the effect, realize sensor monitoring and visual monitoring are reported to the police in step. The system and the method can realize double effects of parameter alarm and visual alarm on the underground coal and rock dynamic disaster, monitor and pre-alarm coal and rock dynamic disaster danger and an occurrence area in time and space, and accurately position the occurrence range and the danger degree of the danger area; the method has the advantages of high efficiency, accuracy, convenience, low cost and easy arrangement.
It is to be understood that the above description is not intended to limit the present invention, and the present invention is not limited to the above examples, and those skilled in the art may make modifications, alterations, additions or substitutions within the spirit and scope of the present invention.
Claims (8)
1. A coal rock dynamic disaster monitoring and early warning visualization system based on 5G communication is characterized by comprising an underground multi-parameter monitoring module, a VR visualization monitoring system, a 5G multi-network fusion system, a multi-source information online early warning system and a remote online monitoring platform, wherein all the systems and the platforms are connected through a 5G private network;
the VR visual monitoring system comprises a 5G special video probe and a visual monitoring platform;
the underground multi-parameter monitoring module comprises various sensors, and the various sensors are connected with the 5G special video probe through a wired transmission cable; the 5G special video probe and various sensors are accessed into the 5G multi-network fusion system together; the multi-source information online early warning system is connected with the remote online monitoring platform.
2. The coal and rock dynamic disaster monitoring and early warning visualization system based on 5G communication as claimed in claim 1, wherein the underground multi-parameter monitoring module comprises a gas sensor, an infrared temperature sensor, an acoustic sensor, an optical sensor, a potential sensor and a displacement sensor.
3. The coal and rock dynamic disaster monitoring and early warning visualization system based on 5G communication as claimed in claim 1, wherein the 5G multi-network fusion system comprises 5G system substations, a 5G ring network switch and a 5G private transmission network; the 5G system substation is internally provided with a 5G base station and is connected with various sensors through wired transmission cables.
4. The coal and rock dynamic disaster monitoring and early warning visualization system based on 5G communication as claimed in claim 1, wherein the multi-source information online early warning system comprises an online monitoring service system and an online alarm system.
5. The coal and rock dynamic disaster monitoring and early warning visualization system based on 5G communication as claimed in claim 1, wherein the remote online monitoring platform comprises a fixed host monitoring platform and a mobile phone monitoring platform, both of which are built-in with visualization monitoring platforms.
6. A coal rock dynamic disaster monitoring and early warning visualization method based on 5G communication is characterized in that the coal rock dynamic disaster monitoring and early warning visualization system is adopted, and based on a 5G transmission private network and VR visualization, the coal rock dynamic disaster monitoring and early warning is carried out by integrating detection, alarm and VR visualization; the method comprises the following specific steps:
s1, arranging various sensors and 5G special video probes on a working face and a tunneling face of a mine;
S2.5G, collecting the collected sensor information and VR visual information by the substation of the system and sending the collected sensor information and VR visual information to the 5G ring network switch;
S3.5G the ring network switch converts various signals into 5G signals, and transmits the signals to the multi-source information online early warning system on the ground through a 5G transmission private network;
s4, analyzing and processing various signals by the multi-source information online early warning system, and giving an alarm when monitoring data is abnormal;
and S5, transmitting the alarm signal to a remote online monitoring platform, wherein green monitoring data and the monitoring platform are changed into red when alarming is carried out, and the VR visual monitoring platform displays the disaster occurrence process and position to operators in a video mode.
7. The coal and rock dynamic disaster monitoring and early warning visualization method based on 5G communication as claimed in claim 6, wherein in the step S4, the alarm types are divided into six types, namely, first-level disaster alarm, second-level disaster alarm, third-level disaster alarm, fourth-level disaster alarm, fifth-level disaster alarm and sixth-level disaster alarm; when only one monitoring data is abnormal, the monitoring data is a first-level disaster and is alarmed corresponding to the first-level disaster; and when more than two monitoring data are abnormal, corresponding to the second-level to sixth-level disasters with different grades respectively, and correspondingly performing second-level to sixth-level disaster alarm.
8. The coal and rock dynamic disaster monitoring and early warning visualization method based on 5G communication as claimed in claim 7, wherein more than two-level disaster determination relates to cross analysis of multiple information, specifically to an online monitoring service system built in a ground multi-source information online early warning system, which performs comparative analysis on various parameter signals from underground, determines the number of disasters according to the types of abnormal parameter conditions, accurately positions the position where abnormal alarm occurs, and realizes alarm at different levels according to different disaster levels.
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| Publication number | Priority date | Publication date | Assignee | Title |
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