CN110097737B - Real-time visualization early warning method and system for underground engineering structure risk - Google Patents

Real-time visualization early warning method and system for underground engineering structure risk Download PDF

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Publication number
CN110097737B
CN110097737B CN201910490207.4A CN201910490207A CN110097737B CN 110097737 B CN110097737 B CN 110097737B CN 201910490207 A CN201910490207 A CN 201910490207A CN 110097737 B CN110097737 B CN 110097737B
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fulcrum
wireless
wireless sensing
alarm
visual
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CN110097737A (en
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孙继通
黄骁琰
聂新虎
吴俨
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Wuxi Wisen Innovation Technology Co ltd
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Wuxi Wisen Innovation Technology Co ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/0202Child monitoring systems using a transmitter-receiver system carried by the parent and the child
    • G08B21/0225Monitoring making use of different thresholds, e.g. for different alarm levels
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/0202Child monitoring systems using a transmitter-receiver system carried by the parent and the child
    • G08B21/0233System arrangements with pre-alarms, e.g. when a first distance is exceeded
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/0202Child monitoring systems using a transmitter-receiver system carried by the parent and the child
    • G08B21/0277Communication between units on a local network, e.g. Bluetooth, piconet, zigbee, Wireless Personal Area Networks [WPAN]
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B7/00Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
    • G08B7/06Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04JMULTIPLEX COMMUNICATION
    • H04J3/00Time-division multiplex systems
    • H04J3/02Details
    • H04J3/06Synchronising arrangements
    • H04J3/0635Clock or time synchronisation in a network
    • H04J3/0638Clock or time synchronisation among nodes; Internode synchronisation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/38Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W56/00Synchronisation arrangements
    • H04W56/001Synchronization between nodes

Abstract

The invention provides a real-time visual early warning method for underground engineering structure risks, which can really realize real-time warning and ensure the personal safety of personnel on a construction site to the greatest extent. Meanwhile, the invention also discloses an early warning system for realizing the visual early warning method. Which comprises the following steps: s1, setting a wireless sensing fulcrum at an accident frequent place in the engineering field; s2, the wireless sensing branch point sends the physical parameter data to a remote command center; s3, pairing a wireless visual fulcrum for each wireless sensing fulcrum, and monitoring physical parameter data sent by the wireless sensing fulcrums through the wireless visual fulcrums; s4, comparing the physical parameter data with a pre-stored alarm threshold value in a wireless visual fulcrum, and carrying out on-site visual alarm through an LED alarm lamp and a buzzer when the physical parameter data is in an alarm range; and otherwise, continuously monitoring physical parameter data which is acquired by the paired wireless sensing fulcrums and is sent out through the wireless sensing network.

Description

Real-time visualization early warning method and system for underground engineering structure risk
Technical Field
The invention relates to the technical field of monitoring systems, in particular to a real-time visual early warning method and a real-time visual early warning system for underground engineering structure risks.
Background
In civil engineering construction, for example, in the process of underground engineering construction such as tunnels, great attention is paid to safety monitoring and disaster early warning work of engineering. The early warning objects comprise not only technicians in site construction, but also the site personnel need to deal with dangers as early as possible and timely; the system also comprises a remote control management center, and the staff needs to know the situation of the scene at the first time, so that the managers can make a decision on safety management and control quickly, and the staff in the accident scene can be ensured to evacuate quickly and accurately and control the situation of the accident scene.
As shown in fig. 1, the prior patent: a monitoring and early warning system is disclosed in an automatic monitoring and early warning system (application number 201220465804.5) of industrial and civil infrastructure and an underground railway tunnel, information of an engineering field is collected through a wireless sensing fulcrum, the information is transmitted back to a remote control platform through a wireless sensing network and the Internet, and after data processing is carried out in the remote control platform, warning is carried out in a voice mode and a buzzer mode based on a remote early warning module; the function of a real-time automatic alarm system is realized. However, in the existing early warning system, information data acquired through the wireless sensing fulcrum needs to be transmitted back to the remote control platform, then the data is processed and judged through the remote control platform, and then an alarm signal is sent back to the site, a certain processing time is needed in the middle, and once any problem occurs in the internet or the wireless sensing network, alarm delay can be caused, and even personal safety of site workers is threatened.
Disclosure of Invention
In order to solve the technical problem that alarm is not timely once a public communication network fails in the prior art, the invention provides a real-time visual early warning method for the risk of an underground engineering structure, which can really realize real-time alarm and ensure the personal safety of personnel on a construction site to the greatest extent. Meanwhile, the invention also discloses an early warning system for realizing the visual early warning method.
The technical scheme of the invention is as follows: a real-time visualization early warning method for underground engineering structure risks comprises the following steps:
s1: arranging a wireless sensing fulcrum at an accident frequent place in an engineering field;
s2: the wireless sensing fulcrum gathers physical parameter data to an intelligent gateway through a wireless sensing network, and the intelligent gateway sends the data to the remote command center;
it is characterized by also comprising the following steps:
s3: matching a wireless visual fulcrum for each wireless sensing fulcrum, and monitoring the physical parameter data sent by the wireless sensing fulcrums in a time synchronization mode through the wireless visual fulcrums;
s4: in the wireless visual fulcrum, the physical parameter data is compared with an alarm threshold value pre-stored in the wireless visual fulcrum, and when the physical parameter data is in an alarm range, on-site visual alarm is performed through an LED alarm lamp and a buzzer;
and otherwise, continuously monitoring the physical parameter data which is acquired by the paired wireless sensing fulcrums and sent out through the wireless sensing network.
It is further characterized in that:
the remote control system is characterized by also comprising a camera shooting fulcrum arranged on the engineering site, wherein the camera shooting area of the camera shooting fulcrum arranged on the engineering site covers the appointed wireless sensing fulcrum, and the camera shooting fulcrum periodically transmits image data of the engineering site to the remote command center according to a preset shooting period;
in step S2, the wireless sensor support gathers the physical parameter data to an intelligent gateway through a wireless sensor network, and then the intelligent gateway sends the data to the remote command center, and then the alarm threshold corresponding to the wireless sensor support is also pre-stored in a control platform of the remote command center, and after receiving the physical parameter data, the alarm threshold is also compared with the corresponding alarm threshold;
when the physical parameter data is in an alarm range, realizing corresponding remote alarm in the remote control center;
otherwise, continuously monitoring the physical parameter data transmitted by the wireless sensing fulcrum;
when the remote alarm is realized in the remote command center, the remote command center simultaneously adjusts the shooting period of the camera supporting point installed on the engineering site to acquire the real-time image information of the site; meanwhile, the remote command center compares all the levels of remote alarm, takes the alarm of the highest level, sends a corresponding alarm lamp instruction to the alarm lamp in the camera supporting point, and carries out on-site alarm on the engineering site through the alarm lamp;
in step 3, the method for time synchronization between the wireless sensing fulcrum and the wireless visualization fulcrum is as follows: the wireless visual fulcrum monitors the communication data of the wireless sensing fulcrum and the intelligent gateway matched with the wireless visual fulcrum, and meanwhile, the acquisition cycle information of the current fulcrum is obtained, so that the next data return time of the wireless sensing fulcrum is reversely deduced;
in the data sent by the wireless sensing fulcrum, besides the monitored physical parameter data of the sensor, the data also includes absolute time point information t1 for sending the data and an absolute time point t2 for sending the monitored data next time; then the wireless visual fulcrum matched with the wireless visual fulcrum reversely deduces the relative time interval t3 of the next monitoring under the self-owned clock after monitoring the communication data sent by the wireless sensing fulcrum, and the reverse deduction formula is as follows:
t3 = (t2-t1) - (A0 + A1)
in the formula:
a0 is a wireless flight time constant of the communication data sent from the wireless sensing fulcrum to the wireless visualization fulcrum under the wireless sensing network for receiving the information;
a1 is a time constant required for information processing and analysis of the control unit of the wireless visual fulcrum after the wireless visual fulcrum receives the communication data sent by the wireless sensing fulcrum;
in step S4, when the LED warning light gives an alarm visually on site, the LED warning light with different colors is set to prompt different alarm states, which includes:
red: a hazard alarm state; blue color: a danger early warning state; green: a normal state;
in step S4, the blinking frequency of the LED warning light is set according to the difference of the warning content:
the frequency of the danger alarm state > the frequency of the danger early warning state > the frequency of the normal state;
the early warning system for realizing the underground engineering structure risk visualization early warning method comprises the following steps: the wireless sensing fulcrum, wireless sensing fulcrum passes through wireless sensor network and connects intelligent gateway, intelligent gateway passes through the long-range command center of public network connection, its characterized in that: the wireless visual support comprises a microprocessor, a memory, an LED warning lamp and a buzzer; the wireless visual supporting point and the wireless sensing supporting point which are installed on an engineering site are arranged in a matching mode, and the wireless visual supporting point directly monitors physical parameter data collected by the wireless sensing supporting point which is matched with the wireless visual supporting point through the wireless sensing network.
It is further characterized in that:
the system also comprises a camera shooting fulcrum, wherein the camera shooting fulcrum arranged on an engineering site comprises a camera and is connected with the remote command center through a public network;
the camera shooting supporting point further comprises a warning lamp, and the warning lamp is used for carrying out state control through the remote command center.
According to the real-time visual early warning method and system for the underground engineering structure risk, a wireless visual fulcrum is rapidly configured with a single wireless sensing fulcrum in a wireless mode, the wireless visual fulcrum directly monitors physical parameter data acquired by the wireless sensing fulcrum matched with the wireless visual fulcrum, the physical parameter data is compared with an alarm threshold stored by the wireless visual fulcrum, and an LED warning lamp and a buzzer give an alarm on site according to a comparison result; the process does not need the participation of a gateway and a server, so as long as the acquisition point acquires the physical parameter data and sends the physical parameter data through the wireless sensor network, the physical parameter data and the pre-stored alarm threshold value can be compared in the wireless visual fulcrum, and once the physical parameter data is in the alarm range, the wireless visual fulcrum can correspondingly alarm through sound and light and is irrelevant to the local public network signal; by the technical scheme, real-time alarm can be really realized on the engineering site, and the life safety of operators on the construction site is ensured to the greatest extent. Meanwhile, after the remote control center acquires the alarm information, the real-time situation of the site is acquired through the picture shot by the camera shooting fulcrum, the response measures can be rapidly made, the warning lamp in the camera shooting fulcrum is synchronously sent out through the public network, the field operation personnel are warned through the warning lamp in the camera shooting fulcrum, and the safety probability of the field personnel is further improved. According to the technical scheme, visual alarm is carried out on field operators on site in an engineering site through two ways of a wireless visual fulcrum and a camera fulcrum, the alarm can be guaranteed to be sent to the field operators through two ways of a wireless sensing network and a public network, and personal safety of the operators on the construction site is guaranteed to the greatest extent.
Drawings
Fig. 1 is a schematic data flow diagram of the warning system according to the present invention.
Detailed Description
As shown in fig. 1, the early warning system for realizing the underground engineering structure risk visualization early warning method comprises a wireless sensing fulcrum 1, wherein the wireless sensing fulcrum 1 is connected with an intelligent gateway 3 through a wireless sensing network, the intelligent gateway 3 is connected with a remote command center through a public network, 4 the early warning system further comprises a wireless visualization fulcrum 2, the wireless visualization fulcrum 2 comprises a microprocessor, a memory, an LED warning lamp and a buzzer, and the wireless visualization fulcrum 2 is rapidly configured with a single wireless sensing fulcrum 1 in a wireless manner; the wireless visual supporting point 2 installed on an engineering site is matched with the wireless sensing supporting point 1, and the wireless visual supporting point 2 directly monitors physical parameter data collected by the wireless sensing supporting point 1 matched with the wireless visual supporting point through a wireless sensing network. A camera supporting point 5 is also installed on the engineering site, the camera supporting point 5 comprises a camera and is connected with the remote command center 4 through a public network; the camera shooting pivot 5 also comprises a warning lamp which is used for carrying out state control through the remote command center 4; the coverage range of the camera fulcrum 5 covers one or more wireless sensing fulcrums 1 according to the specific conditions of the project site, so that all the wireless sensing fulcrums 1 can send site pictures back to the remote command center 4 through the camera fulcrum 5, and the remote command center 4 can further confirm the current condition of the site where any one wireless sensing fulcrum 1 is located under the condition that the network is smooth.
The invention discloses a real-time visualization early warning method for underground engineering structure risks, which comprises the following steps:
s1: arranging a wireless sensing fulcrum 1 at an accident frequent place in an engineering field;
s2: the wireless sensing supporting point 1 converges physical parameter data to the intelligent gateway 3 through a wireless sensing network, and then the intelligent gateway 3 sends the data to the remote command center 4;
s3: each wireless sensing fulcrum 1 is matched with one wireless visual fulcrum 2, and physical parameter data sent by the wireless sensing fulcrums 1 are monitored in a time synchronization mode through the wireless visual fulcrums 2; the time synchronization of the wireless sensing fulcrum 1 and the wireless visual fulcrum 2 is realized; the wireless visual fulcrum 2 monitors the communication data of the wireless sensing fulcrum 1 and the intelligent gateway 3 matched with the wireless visual fulcrum, and meanwhile, the acquisition cycle information of the current fulcrum is obtained, so that the next data return time of the wireless sensing fulcrum is reversely deduced;
in the data sent by the wireless sensing fulcrum, besides the monitored physical parameter data of the sensor, the data also includes absolute time point information t1 for sending the data and an absolute time point t2 for sending the monitored data next time; after monitoring the communication data sent by the wireless sensing fulcrum, the matched wireless visual fulcrum reversely deduces the relative time interval t3 monitored next time under the self-owned clock, and the reverse deduction formula is as follows:
t3 = (t2-t1) - (A0 + A1)
in the formula:
a0 is a wireless flight time constant of communication data sent from a wireless sensing fulcrum to a wireless visual fulcrum under a wireless sensing network to receive the information;
a1 is a time constant required by the self control unit for information processing and analysis after the wireless visual fulcrum receives communication data sent by the wireless sensing fulcrum;
by the time synchronization method, the wireless visual fulcrum 2 can detect physical parameter data sent by the wireless sensing fulcrum 1 in real time, the wireless visual fulcrum 2 can detect an alarm event in real time, and therefore on-site operators can obtain alarm information in real time;
s4: in the wireless visual fulcrum 2, physical parameter data and an alarm threshold value pre-stored in the wireless visual fulcrum 2 are compared, detection values of different parameters such as humidity, temperature, vibration, inclination angle and the like have different alarm threshold values and different alarm ranges, and when the physical parameter data are in the alarm ranges, on-site visual alarm is carried out through an LED alarm lamp and a buzzer; otherwise, continuously monitoring physical parameter data acquired by the paired wireless sensing supporting points 1; meanwhile, the alarm information is provided in two forms of sound, LED and the like, so that the on-site operators can receive the alarm information;
different alarm state of LED warning light suggestion through different colours includes:
red: a hazard alarm state; blue color: a danger early warning state; green: a normal state;
the flicker frequency of the LED warning lamp is set according to different warning contents:
the frequency of the danger alarm state > the frequency of the danger early warning state > the frequency of the normal state;
the reason why the LED warning lamps with different colors are set to different frequencies is as follows:
1) the warning lamp in the normal state is the warning lamp with the longest flashing time, so that the flashing frequency is set to be the lowest, and the power consumption of the equipment can be reduced to the lowest in the long-time use process;
2) the warning lamps in abnormal states, namely the warning lamps in a danger alarm state and a danger early warning state, are high in frequency setting, so that operators can observe the state change of the warning lamps more quickly when flashing, and the warning effect is improved;
in the specific implementation, the following frequencies are set:
frequency of red LED warning light: bright for 100ms and dark for 1900ms
The frequency of the blue LED warning lamp is on for 100ms and off for 2900ms
The frequency of the green LED warning lamp is on for 100ms, and off for 3900 ms.
Installing a camera fulcrum 5 on an engineering site, covering a designated wireless sensing fulcrum 1 in a camera area of the camera fulcrum 5 on the engineering site, and periodically transmitting image data of the engineering site to a remote command center 4 by the camera fulcrum 5 according to a preset shooting period;
in the step S2, after the wireless sensing fulcrum 1 transmits the physical parameter data to the remote command center 4, an alarm threshold corresponding to the wireless sensing fulcrum 1 is also pre-stored in the control platform of the remote command center 4, and after receiving the physical parameter data, the alarm threshold is also compared with the corresponding alarm threshold; when the physical parameter data is in the alarm range, corresponding remote alarm is realized in the remote control center, an instruction is sent to the camera fulcrum to increase the shooting frequency, and meanwhile, the lamp light and sound equipment carried by the camera fulcrum are used for carrying out local alarm; otherwise, continuously monitoring the affiliated physical parameter data transmitted from the wireless sensing fulcrum 1;
when remote alarm occurs in the remote command center 4, adjusting the shooting period of a camera supporting point 5 installed on an engineering site to obtain real-time image information of the site; by confirming the real-time image information of the site, the remote control center 4 can fully master the condition of the engineering site and give a more practical corresponding strategy; meanwhile, the remote command center 4 compares all the remote alarm levels, takes the alarm of the highest level, sends a corresponding alarm lamp instruction to the alarm lamp in the camera supporting point 5, and carries out on-site alarm in the engineering field;
the alarm through the warning lamp in the camera supporting point 5 is realized through a public network, and according to the specific structure of an engineering site, 1 or more wireless sensing supporting points 1 covered by each camera supporting point 5 can give an alarm through the camera supporting point 5 even if the alarm of the local wireless visual supporting point 2 is wrong, so that all alarm information can be further sent to the site.

Claims (4)

1. A real-time visualization early warning method for underground engineering structure risks comprises the following steps:
s1: arranging a wireless sensing fulcrum at an accident frequent place in an engineering field;
s2: the wireless sensing fulcrum gathers physical parameter data in an intelligent gateway through a wireless sensing network, and the intelligent gateway sends the data to a remote command center;
it is characterized by also comprising the following steps:
s3: matching a wireless visual fulcrum for each wireless sensing fulcrum, and monitoring the physical parameter data sent by the wireless sensing fulcrums in a time synchronization mode through the wireless visual fulcrums;
s4: in the wireless visual fulcrum, the physical parameter data is compared with an alarm threshold value pre-stored in the wireless visual fulcrum, and when the physical parameter data is in an alarm range, on-site visual alarm is performed through an LED alarm lamp and a buzzer;
otherwise, continuously monitoring the physical parameter data which is acquired by the paired wireless sensing fulcrums and sent out through a wireless sensing network;
in step S2, the wireless sensor support gathers the physical parameter data to an intelligent gateway through a wireless sensor network, and then the intelligent gateway sends the data to the remote command center, and the alarm threshold corresponding to the wireless sensor support is also pre-stored in a control platform of the remote command center, and after receiving the physical parameter data, the alarm threshold is also compared with the corresponding alarm threshold;
when the physical parameter data is in an alarm range, realizing corresponding remote alarm in the remote control center;
otherwise, continuously monitoring the physical parameter data transmitted by the wireless sensing fulcrum;
when the remote alarm is realized in the remote command center, the remote command center simultaneously adjusts the shooting period of a camera supporting point arranged on an engineering site to acquire the real-time image information of the site; meanwhile, the remote command center compares all the levels of remote alarm, takes the alarm of the highest level, sends a corresponding alarm lamp instruction to the alarm lamp in the camera supporting point, and carries out on-site alarm on the engineering site through the alarm lamp;
in step 3, the method for time synchronization between the wireless sensing fulcrum and the wireless visualization fulcrum is as follows: the wireless visual fulcrum monitors the communication data of the wireless sensing fulcrum and the intelligent gateway matched with the wireless visual fulcrum, and meanwhile, the acquisition cycle information of the current fulcrum is obtained, so that the next data return time of the wireless sensing fulcrum is reversely deduced;
in the data sent by the wireless sensing fulcrum, besides the monitored physical parameter data of the sensor, the data also includes absolute time point information t1 for sending the data and an absolute time point t2 for sending the monitored data next time; then the wireless visual fulcrum matched with the wireless visual fulcrum reversely deduces the relative time interval t3 of the next monitoring under the self-owned clock after monitoring the communication data sent by the wireless sensing fulcrum, and the reverse deduction formula is as follows:
t3 = (t2-t1) - (A0 + A1)
in the formula:
a0 is a wireless flight time constant of the communication data sent from the wireless sensing fulcrum to the wireless visualization fulcrum under the wireless sensing network for receiving the information;
a1 is a time constant required for information processing and analysis of the control unit of the wireless visual fulcrum after the wireless visual fulcrum receives the communication data sent by the wireless sensing fulcrum;
the remote control system is characterized in that a camera shooting fulcrum is installed on the engineering site, a camera shooting area of the camera shooting fulcrum installed on the engineering site covers the appointed wireless sensing fulcrum, and the camera shooting fulcrum periodically transmits image data of the engineering site to the remote command center according to a preset shooting period.
2. The real-time visualization early warning method for the risk of the underground engineering structure according to claim 1, which is characterized in that: in step S4, when the LED warning light gives an alarm visually on site, the LED warning light with different colors is set to prompt different alarm states, which includes:
red: a hazard alarm state; blue color: a danger early warning state; green: and (4) a normal state.
3. The real-time visualization early warning method for the risk of the underground engineering structure according to claim 1, which is characterized in that: in step S4, the blinking frequency of the LED warning light is set according to the difference of the warning content:
frequency of danger alarm state > frequency of danger early warning state > frequency of normal state.
4. The system for realizing the underground engineering structure risk real-time visual early warning method according to claim 1 comprises a wireless sensing fulcrum, wherein the wireless sensing fulcrum is connected with an intelligent gateway through a wireless sensing network, the intelligent gateway is connected with a remote command center through a public network, and the system is characterized in that: the wireless visual support comprises a microprocessor, a memory, an LED warning lamp and a buzzer; the wireless visual fulcrum and the wireless sensing fulcrum which are installed on an engineering site are arranged in a matching mode, and the wireless visual fulcrum directly monitors physical parameter data acquired by the wireless sensing fulcrum matched with the wireless visual fulcrum through the wireless sensing network;
each wireless sensing fulcrum is paired with one wireless visual fulcrum; the wireless visual fulcrum monitors the physical parameter data sent by the wireless sensing fulcrum in a time synchronization mode;
the system also comprises a camera shooting fulcrum, wherein the camera shooting fulcrum arranged on an engineering site comprises a camera and is connected with the remote command center through a public network;
the camera shooting area of the camera shooting fulcrum arranged on the engineering site covers the appointed wireless sensing fulcrum, and the camera shooting fulcrum periodically transmits image data of the engineering site to the remote command center according to a preset shooting period;
the camera shooting supporting point further comprises a warning lamp, and the warning lamp is used for carrying out state control through the remote command center.
CN201910490207.4A 2019-06-06 2019-06-06 Real-time visualization early warning method and system for underground engineering structure risk Active CN110097737B (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014153656A1 (en) * 2013-03-29 2014-10-02 Symboticware Incorporated Method and apparatus for underground equipment monitoring
CN104167084A (en) * 2014-08-18 2014-11-26 同济大学 Engineering-risk wireless-sensing early-warning visualization system and method
CN105221139A (en) * 2015-10-29 2016-01-06 天津华宁电子有限公司 Downhole wireless power center (PC) system
CN106437855A (en) * 2016-11-01 2017-02-22 中国矿业大学 Remote monitoring system for temperature of coal mine goaf based on wireless transmission

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014153656A1 (en) * 2013-03-29 2014-10-02 Symboticware Incorporated Method and apparatus for underground equipment monitoring
CN104167084A (en) * 2014-08-18 2014-11-26 同济大学 Engineering-risk wireless-sensing early-warning visualization system and method
CN105221139A (en) * 2015-10-29 2016-01-06 天津华宁电子有限公司 Downhole wireless power center (PC) system
CN106437855A (en) * 2016-11-01 2017-02-22 中国矿业大学 Remote monitoring system for temperature of coal mine goaf based on wireless transmission

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