CN112343657B - Method for identifying mine underground air door and monitoring abnormal state of mine underground air door - Google Patents
Method for identifying mine underground air door and monitoring abnormal state of mine underground air door Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 39
- 230000002159 abnormal effect Effects 0.000 title claims abstract description 18
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 46
- 238000001514 detection method Methods 0.000 claims description 8
- 238000002372 labelling Methods 0.000 claims description 8
- 238000007635 classification algorithm Methods 0.000 claims description 6
- 230000000007 visual effect Effects 0.000 claims description 6
- 238000013145 classification model Methods 0.000 claims description 3
- 238000013527 convolutional neural network Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 abstract description 3
- 238000004364 calculation method Methods 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000009423 ventilation Methods 0.000 description 3
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 239000001301 oxygen Substances 0.000 description 2
- 229910052760 oxygen Inorganic materials 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 231100000614 poison Toxicity 0.000 description 1
- 230000007096 poisonous effect Effects 0.000 description 1
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK 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
- E21F17/18—Special adaptations of signalling or alarm devices
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F1/00—Ventilation of mines or tunnels; Distribution of ventilating currents
- E21F1/10—Air doors
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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Abstract
The invention discloses a method for identifying and monitoring abnormal states of an underground mine air door, which comprises the following steps: configuring an algorithm model for a camera in a system; the system automatically sends the camera information to an algorithm service; the algorithm service carries out calculation analysis on the real-time monitoring video of the camera; after the air door is found to be damaged, sending air door damage information; the invention has the following beneficial effects: the system has obvious and strong alarm prompt, so that the manager cannot omit each alarm message, and each alarm message can be ensured to be concerned by the manager, thereby avoiding the occurrence of accidents.
Description
Technical Field
The invention relates to the technical field of monitoring methods, in particular to a method for identifying and monitoring abnormal states of an underground mine air door.
Background
The underground mine air door has the following functions:
1. and enough fresh air is supplied to the underground to meet the requirement of personnel on oxygen.
2. Dilute the poisonous and harmful gas and dust in the well and ensure the safe production.
3. The underground climate is adjusted, and a good working environment is created.
4. And controlling the air flow. The mine ventilation system consists of two parts, namely a ventilator and a ventilation network. After entering a mine from an air inlet wellhead, the air flow passes through various underground air fields and then enters an air return shaft, and is discharged out of the mine from the air return shaft, and the whole route through which the air flow passes is called a mine ventilation system.
If the air door is not closed for a long time, the air flow can not operate according to the design scheme of the mine, the conditions of insufficient air pressure and no air exist in other places, and underground workers can not obtain enough oxygen to cause accidents such as anoxic shock and death.
At present, an underground air door uses a sensor to monitor the on-off state, so that the on-off signal of the air door can be obtained, but the sensor can only transmit the on-off signal and can not obtain a picture, so that the situation of misinformation can exist, if the air door is closed, but the data obtained by the sensor is still in an open state, the alarm can not be realized, video data can not be provided for a manager, after the on-off signal sent by the sensor is seen, the manager needs to call video monitoring or go into the well to check, and troubles are brought to the manager.
No other project has proposed a solution to this.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method for identifying an underground mine air door and monitoring an abnormal state of the underground mine air door.
In order to solve the technical problems, the invention provides the following technical scheme:
the invention preferably comprises the following steps:
(1) The underground air door damage monitoring method comprises the following steps:
s11, configuring an algorithm model for the camera in the system;
s12, the system automatically issues the camera information to an algorithm service;
s13, calculating and analyzing the real-time monitoring video of the camera by the algorithm service;
s14, after the camera finds that the air door is damaged, sending air door damage information;
s15, recording videos of 15 seconds after the air door is damaged recently in the normal time, and combining the videos into alarm information;
s16, continuously sending alarm information until the air door is repaired;
(2) The monitoring of the overlong opening time of the underground air door comprises the following steps:
s21, configuring an algorithm model and an allowable starting duration for the camera in the system;
s22, the system automatically issues the camera information to an algorithm service;
s23, performing calculation analysis on the real-time monitoring video of the camera by using algorithm service;
s24, after the camera finds that the air door is opened, timing the opening state of the air door;
s25, if the air door is closed, stopping timing and returning to the previous step;
s26, if the opening time of the air door exceeds the allowable duration, sending alarm information, and firstly sending the alarm information that the air door without the video is damaged for the timeliness of the alarm information;
s27, recording the real-time state video of the air door, and combining the video into alarm information;
s28, the alarm information can be continuously sent until the air door is closed;
s29, a user can combine alarm information with the same type at the same position in a period of time by using system configuration, so that visual interference to the user is reduced;
s210, if the system has false alarm, the system automatically records the event record into a false alarm database.
Preferably, the algorithm in step (2) is embedded into a front-end camera to monitor the opening and closing state of the damper.
Preferably, S14 in step (1) sends alarm information that the damper without video is damaged, so as to ensure timeliness of the alarm information.
Preferably, in step s14, after detecting that the air door is opened, the algorithm service starts to time the opening state of the air door, and when the time duration exceeds the allowable opening time duration of the air door, it is determined that the air door is opened abnormally for too long, and at this time, an abnormal alarm message is sent.
Preferably, in step S14, after detecting that the damper is opened, the algorithm service starts to time the opening state of the damper, and if the time length does not exceed the opening time length of the damper, it is determined that the damper is normally opened, and no abnormal alarm information is sent.
Preferably, the alarm message in step S27 continues until the damper is closed, and the user can combine the same type of alarm messages at the same position for a period of time using the system configuration, so as to reduce the visual interference to the user, and if a system false alarm occurs, the system automatically records the event record into a false alarm database.
Preferably, the steps of the downhole damper and damper status identification algorithm are as follows:
s31, establishing corresponding algorithm models including a target detection model of the air door and a classification model of the air door according to normal scenes and abnormal scenes in the air door monitoring video;
s32, preparing a data set corresponding to an algorithm according to the content of the monitoring video; the specific position information of the air door in the image is marked by an air door detection algorithm, and the air door classification algorithm captures the image of the air door and marks whether the current state of the air door is open or closed;
s33, acquiring an anchor point of the air door in the image through the labeling condition in the data set, wherein the anchor point comprises position coordinates of the air door in the image as label information, extracting air door characteristic information of different scales from the input image through a plurality of multilayer convolutional neural networks, combining to obtain overall characteristics, and outputting the position coordinates and the probability value of the air door through a full connection layer; when the probability value is greater than 0.5, keeping the current prediction;
s34, judging whether the prediction effect is good or not according to the IoU ratio of the sitting prediction frame to the marking data frame;
s35, classifying the detected air doors by using a classification algorithm, dividing the states of the air doors into a closing state and an opening state for data labeling, extracting characteristic output 0 or 1 through a residual error network, respectively representing the closing state and the opening state, comparing the characteristic output with the labeling state, and comparing with a cross entropy loss function for comparison.
The invention has the following beneficial effects:
1. the underground air door state can be monitored in real time, the longest opening time of the air door can be set according to actual needs, once the opening time of the air door exceeds a set value, alarm information is sent out immediately, information such as the position of the air door, the state of the air door and videos in the alarm information can be avoided, managers can check the videos directly to carry out manual judgment after the alarm information is obtained, and whether the alarm information is real effective information is judged. The manpower for checking the monitoring picture is saved, and meanwhile, the monitoring picture can be checked without going into the well, so that the safety of managers is improved. Meanwhile, damage monitoring of the air door can be achieved, for example, the air door is knocked away by a rubber-tyred vehicle, the process and the result of knocking of the air door can be recorded, and when the safety is improved, responsibility pursuit can also be achieved.
2. The system has obvious and strong alarm prompt, so that the manager can not omit each alarm message, and each alarm message can be ensured to be concerned by the manager, thereby avoiding the occurrence of accidents.
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 schematic flow chart of the downhole damper damage monitoring steps of the present invention;
FIG. 2 is a schematic flow chart of the downhole damper open time overlength monitoring process of the present invention.
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.
Examples
As shown in fig. 1-2, the present invention provides, among other things, a method comprising the steps of:
(1) The underground air door damage monitoring method comprises the following steps:
s11, configuring an algorithm model for the camera in the system;
s12, the system automatically sends the camera information to an algorithm service;
s13, performing calculation analysis on the real-time monitoring video of the camera by using algorithm service;
s14, after the camera finds that the air door is damaged, sending air door damage information;
s15, recording videos of 15 seconds after the air door is damaged recently in the normal time, and combining the videos into alarm information;
s16, the alarm information can be continuously sent until the air door is repaired;
(2) The monitoring of the overlong opening time of the underground air door comprises the following steps:
s21, configuring an algorithm model and an allowable starting duration for the camera in the system;
s22, the system automatically issues the camera information to an algorithm service;
s23, calculating and analyzing the real-time monitoring video of the camera by the algorithm service;
s24, after the camera finds that the air door is opened, timing the opening state of the air door;
s25, if the air door is closed, stopping timing and returning to the previous step;
s26, if the opening time of the air door exceeds the allowable time length, sending alarm information, and firstly sending the alarm information that the air door without the video is damaged for the timeliness of the alarm information;
s27, recording the real-time state video of the air door, and combining the video into alarm information;
s28, the alarm information can be continuously carried out until the air door is closed;
s29, a user can combine alarm information with the same position and the same type in a period of time by using system configuration, so that visual interference to the user is reduced;
and S210, if the system has false alarm, the system automatically records the event record into a false alarm database.
And (3) embedding the algorithm in the step (2) into a front-end camera, and monitoring the opening and closing state of the air door.
And (2) sending alarm information that the air door without the video is damaged in S14 in the step (1) to ensure the timeliness of the alarm information.
In step s14, after detecting that the air door is opened, the algorithm service starts to time the opening state of the air door, and when the timed duration exceeds the allowable opening duration, the air door is determined to be abnormally opened for too long, and at this time, abnormality alarm information is sent.
In step S14, after detecting that the air door is opened, the algorithm service starts to time the opening state of the air door, and if the time length does not exceed the opening time length of the air door, it is determined that the air door is normally opened, and no abnormal alarm information is sent.
In step S16, the user may combine the alarm information in the same position and the same type within a period of time by using the system configuration, so as to reduce the visual interference to the user, and if a system false alarm occurs, the system automatically records the event in a false alarm database.
The steps of the downhole damper and damper state identification algorithm are as follows:
s31, establishing a corresponding algorithm model according to normal scenes and abnormal scenes in the air door monitoring video, wherein the algorithm model comprises a target detection model of the air door and a classification model of the air door;
s32, preparing a data set corresponding to an algorithm according to the content of the monitoring video; the air door detection algorithm marks specific position information of the air door in the image, and the air door classification algorithm captures an image of the air door and marks whether the current state of the air door is open or closed;
s33, acquiring an anchor point of the air door in the image through the labeling condition in the data set by using a detection algorithm of the air door, wherein the anchor point comprises position coordinates of the air door in the image as label information, extracting characteristic information of the air door with different scales from the input image through a plurality of multilayer convolutional neural networks, combining to obtain overall characteristics, and outputting the position coordinates and the probability value of the air door through a full connection layer; when the probability value is greater than 0.5, keeping the current prediction;
s34, judging whether the prediction effect is good or not according to the IoU ratio of the seat prediction frame to the label data frame;
s35, classifying the detected air doors by using a classification algorithm, dividing the states of the air doors into a closing state and an opening state for data labeling, extracting characteristic output 0 or 1 through a residual error network, respectively representing the closing state and the opening state, comparing the characteristic output with the labeling state, and comparing with a cross entropy loss function for comparison.
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 modifications may be made to the embodiments described above, or equivalents may be substituted for elements thereof. 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 (7)
1. The method for identifying the underground mine air door and monitoring the abnormal state of the underground mine air door is characterized by comprising the following steps of:
(1) The underground air door damage monitoring method comprises the following steps:
s11, configuring an algorithm model for the camera in the system;
s12, the system automatically sends the camera information to an algorithm service;
s13, calculating and analyzing the real-time monitoring video of the camera by the algorithm service;
s14, sending air door damage information after the camera finds that the air door is damaged;
s15, recording videos of 15 seconds after the air door is damaged recently in the normal time, and combining the videos into alarm information;
s16, the alarm information can be continuously sent until the air door is repaired;
(2) The monitoring of the overlong opening time of the underground air door comprises the following steps:
s21, configuring an algorithm model and an allowable starting duration for the camera in the system;
s22, the system automatically issues the camera information to an algorithm service;
s23, calculating and analyzing the real-time monitoring video of the camera by the algorithm service;
s24, after the camera finds that the air door is opened, timing the opening state of the air door;
s25, if the air door is closed, stopping timing and returning to the previous step;
s26, if the opening time of the air door exceeds the allowable time length, sending alarm information, and firstly sending the alarm information that the air door without the video is damaged for the timeliness of the alarm information;
s27, recording the real-time state video of the air door, and combining the video into alarm information;
s28, the alarm information can be continuously carried out until the air door is closed;
s29, a user can combine alarm information with the same type at the same position in a period of time by using system configuration, so that visual interference to the user is reduced;
s210, if the system has false alarm, the system automatically records the event record into a false alarm database.
2. The mine down-hole damper identification and abnormal state monitoring method according to claim 1, characterized in that: and (3) embedding the algorithm in the step (2) into a front-end camera to monitor the opening and closing state of the air door.
3. The mine down-hole damper identification and abnormal state monitoring method according to claim 1, characterized in that: and (4) sending alarm information that the air door without the video is damaged in S14 in the step (1) to ensure the timeliness of the alarm information.
4. The method for identifying and monitoring the mine underground air door according to claim 1, characterized in that: in step s14, after detecting that the air door is opened, the algorithm service starts to time the opening state of the air door, and when the timed duration exceeds the allowable opening duration of the air door, it is determined that the air door is opened for too long, and at this time, an abnormal alarm message is sent.
5. The mine down-hole damper identification and abnormal state monitoring method according to claim 1, characterized in that: in step S14, after the algorithm service detects that the air door is opened, timing the opening state of the air door is started, and if the timing duration does not exceed the opening duration of the air door, it is determined that the air door is normally opened, and no abnormal alarm information is sent.
6. The method for identifying and monitoring the mine underground air door according to claim 1, characterized in that: in step S16, the user may use the system configuration to combine the same position and type of alarm information within a period of time, so as to reduce the visual interference to the user, and if a system false alarm occurs, the system automatically records the event in a false alarm database.
7. The mine down-hole damper identification and abnormal state monitoring method according to claim 1, characterized in that the steps of the down-hole damper and damper state identification algorithm are as follows:
s31, establishing a corresponding algorithm model according to normal scenes and abnormal scenes in the air door monitoring video, wherein the algorithm model comprises a target detection model of the air door and a classification model of the air door;
s32, preparing a data set corresponding to an algorithm according to the content of the monitoring video; the specific position information of the air door in the image is marked by an air door detection algorithm, and the air door classification algorithm captures the image of the air door and marks whether the current state of the air door is open or closed;
s33, acquiring an anchor point of the air door in the image through the labeling condition in the data set by using a detection algorithm of the air door, wherein the anchor point comprises position coordinates of the air door in the image as label information, extracting characteristic information of the air door with different scales from the input image through a plurality of multilayer convolutional neural networks, combining to obtain overall characteristics, and outputting the position coordinates and the probability value of the air door through a full connection layer; when the probability value is greater than 0.5, the current prediction is reserved;
s34, judging whether the prediction effect is good or not according to the IoU ratio of the sitting prediction frame to the marking data frame;
and S5, classifying the detected air door by using a classification algorithm, dividing the state of the air door into a closed state and an open state for data labeling, extracting characteristic output 0 or 1 through a residual error network, respectively representing the closed state and the open state, comparing the characteristic output with the labeled state, and comparing with a cross entropy loss function for comparison.
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| CN114036465B (en) * | 2021-11-26 | 2024-04-12 | 辽宁工程技术大学 | Wind door opening and closing disturbance identification method based on wind speed monitoring |
| CN117422991B (en) * | 2023-10-07 | 2024-06-04 | 中色地科蓝天矿产（北京）有限公司 | Intelligent mine detection system and method based on big data and readable storage medium |
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