CN115321298A - Mine cage overload retention detection device and method - Google Patents

Mine cage overload retention detection device and method Download PDF

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Publication number
CN115321298A
CN115321298A CN202211099602.8A CN202211099602A CN115321298A CN 115321298 A CN115321298 A CN 115321298A CN 202211099602 A CN202211099602 A CN 202211099602A CN 115321298 A CN115321298 A CN 115321298A
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China
Prior art keywords
module
control system
alarm
camera
violation
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Pending
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CN202211099602.8A
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Chinese (zh)
Inventor
陆文涛
郭永涛
谢海峰
李军伟
张旭华
刘建永
马永飞
寇丽梅
赵新宇
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CITIC HIC Kaicheng Intelligence Equipment Co Ltd
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CITIC HIC Kaicheng Intelligence Equipment Co Ltd
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Priority to CN202211099602.8A priority Critical patent/CN115321298A/en
Publication of CN115321298A publication Critical patent/CN115321298A/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/0006Monitoring devices or performance analysers
    • B66B5/0012Devices monitoring the users of the elevator system
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B19/00Mining-hoist operation
    • B66B19/06Applications of signalling devices
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/0006Monitoring devices or performance analysers
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/02Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions

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  • Cage And Drive Apparatuses For Elevators (AREA)

Abstract

The invention discloses a mine cage overload retention detection device and method, which are applied to the field of coal mine auxiliary vertical shaft elevator control systems and comprise the following steps: the system comprises a camera detection module, an alarm module, a wireless module, a power supply module, a light curtain access control system and a hoist control system; the elevator control system is communicated with the light curtain entrance guard through network connection; the camera detection module is connected with the alarm module through RS 485; the camera detection module is connected with the hoist control system through a wireless module; the power supply module is respectively connected with the camera shooting detection module and the wireless module. The invention can detect potential safety hazards and accident states in the cage in real time, discover and automatically prompt in time, and link the elevator to perform quick response action, thereby avoiding accident expansion, and having important significance for improving the supervision level of a coal mine and realizing safe and efficient production targets.

Description

Mine cage overload retention detection device and method
Technical Field
The invention relates to the field of coal mine auxiliary vertical shaft elevator control systems, in particular to a mine cage overload retention detection device and method.
Background
The auxiliary vertical shaft of the coal mine is used for lifting coal mine personnel and materials, is one of important links of coal mine production, and is an important factor influencing coal mine production by the safety of an upper shaft opening and a lower shaft opening and the production efficiency. In recent years, in order to improve the safety, reliability and automation level of a coal mine auxiliary vertical shaft car operating system, research and development personnel continuously improve the car operating system. At present, the domestic coal mine auxiliary vertical shaft elevator control system basically realizes centralized automatic control, greatly improves the traditional field starting and operating method, improves the working conditions, lightens the labor intensity of workers and reduces the occurrence of accidents. However, the problems of incomplete system function, inconvenient data uploading, uneven automation degree of each subsystem and the like still exist, and particularly, the accident expansion is caused because intelligent detection and sudden accidents in a cage cannot be found and responded quickly in time.
Therefore, how to provide a mining cage overload retention detection device and method which can detect potential safety hazards and accident states in a cage in real time, find the potential safety hazards and automatically prompt in time, and link a hoist to perform quick response action so as to avoid accident enlargement is a problem to be solved urgently by technical personnel in the field.
Disclosure of Invention
In view of the above, the invention provides a mine cage overload retention detection device and method. The invention can monitor the preset violation behaviors in real time, and send the detected preset violation behaviors to the alarm module to execute corresponding violation alarm, and perform corresponding voice prompt, thereby playing an effective deterrent role; meanwhile, the illegal action photo and the illegal alarm signal record are uploaded to a hoist control system, the hoist control system detects the preset dangerous action in the received illegal action photo and the illegal alarm signal in real time, and the hoist is controlled to stop running and enter a protection state until the hoist returns to normal.
In order to achieve the purpose, the invention adopts the following technical scheme:
a mining cage overload retention detection device comprises: the system comprises a camera shooting detection module, an alarm module, a wireless module, a power supply module, a light curtain access control system and a hoist control system.
The elevator control system is communicated with the light curtain entrance guard through network connection and used for statistics of tank inlet and outlet personnel.
The camera detection module is connected with the alarm module through RS485 and is used for sending the preset violation behaviors detected in real time to the alarm module to execute corresponding violation alarm.
The camera detection module is connected with the elevator control system through the wireless module and used for uploading the illegal action pictures and the illegal alarm signal records to the elevator control system, and the elevator control system detects preset dangerous actions in the illegal action pictures and the illegal alarm signals in real time.
The power supply module is respectively connected with the camera detection module and the wireless module and used for supplying power to the camera detection module, the wireless module and the alarm module.
Optionally, the camera detection module is an AI camera, and a neural network detection model for presetting violation behaviors is embedded in a core processing module built in the AI camera.
Optionally, the alarm module is an audible and visual alarm.
Optionally, the power supply module is an explosion-proof UPS power box.
Optionally, the wireless modules are used in pairs and configured in a bridge mode.
The invention also provides a method applied to the mining cage overload retention detection device, which comprises the following steps:
step (1): the elevator control system acquires the acquired data of the light curtain entrance guard in real time, obtains the number of people coming in and going out of the tank, and closes the light curtain entrance guard when the number of people in the tank exceeds a preset number threshold value.
Step (2): the AI camera detects preset violation behaviors in real time, sends the violation behaviors to the acousto-optic alarm to execute corresponding violation alarm, and uploads violation behavior pictures and violation alarm signal records to the control system of the elevator.
And (3): and the elevator control system detects preset dangerous behaviors in the illegal behavior photo and the illegal warning signal in real time and controls the elevator to stop running until the elevator returns to normal.
Optionally, the AI camera detects the preset violation in real time through a neural network detection model of the preset violation.
Through the technical scheme, compared with the prior art, the invention provides the device and the system for detecting the overload retention of the mine cage. The method comprises the following steps of acquiring images in a cage in real time through an AI camera, and embedding a preset violation neural network detection model through a core processing module arranged in the AI camera to detect the preset violation: the method comprises the steps that personnel number statistics is carried out to determine whether overload exists or not, personnel postures judge whether fall exists or not, whether the detention time is overtime or not, whether a handle or a material extends out of a tank (out of a safety zone) or not, whether a safety helmet is worn or a tool is worn according to regulations or not, and the like are monitored in real time, detected preset violation behaviors are sent to an alarm module to execute corresponding violation alarm, corresponding voice prompt is carried out, and an effective frightening effect is achieved; simultaneously, upload illegal action photo and illegal alarm signal record to hoist control system, hoist control system detects the dangerous behavior of predetermineeing in the illegal action photo and the illegal alarm signal in real time and includes: and (4) judging whether the person falls down or not, whether a handle or a material extends out of the tank (outside a safety zone) or not by the posture of the person, and controlling the elevator to stop running and enter a protection state until the person returns to a normal state. The invention can detect potential safety hazards and accident states in the cage in real time, discover and prompt automatically in time, and link the elevator to perform quick response action, thereby avoiding accident enlargement, and having important significance for improving the supervision level of a coal mine and realizing safe and efficient production targets.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic structural diagram of the apparatus of the present invention.
FIG. 2 is a schematic flow chart of the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
the embodiment 1 of the invention discloses a mine cage overload retention detection device, which comprises: the system comprises a camera shooting detection module, an alarm module, a wireless module, a power supply module, a light curtain access control system and a hoist control system.
Hoist control system passes through the internet access communication with the light curtain entrance guard for go out a jar personnel's statistics, hoist control system acquires light curtain entrance guard data collection according to current cage position (go up the well head or well head down), obtains the number of going out a jar in real time, when the number of people in jar surpassed preset number threshold value, closes the light curtain entrance guard.
The camera shooting detection module is an AI camera, and a neural network detection model for presetting illegal behaviors is embedded in a core processing module arranged in the AI camera; the alarm module is an audible and visual alarm; the AI camera is connected with audible-visual annunciator for with the predetermined violation of rules that detect in real time, include: whether the personnel count is overloaded, whether personnel posture is judged to fall down, whether detention time is overtime, whether a handle or a material extends out of the tank (outside a safety zone), whether a safety helmet is worn according to regulations, a tool is worn, and the like are sent to the alarm module to execute corresponding violation alarm, and personnel taking the tank are prompted.
The AI camera passes through wireless module and is connected with elevator control system for upload the illegal action photo and the alarm signal record of violation to elevator control system, by elevator control system real-time detection illegal action photo and the dangerous behavior of predetermineeing among the alarm signal include: and (4) judging whether the person falls down or not, whether a handle or a material extends out of the tank (outside a safety zone) or not by the posture of the person, and controlling the elevator to stop running until the person returns to normal.
Because no power supply exists in a common cage, the power supply module adopts an explosion-proof UPS power box, is respectively connected with the camera detection module and the wireless module and is used for supplying power for the camera detection module, the wireless module and the alarm module, and the battery is charged or replaced when the cage is overhauled.
The wireless modules are used in pairs and are configured in a bridge mode.
Example 2:
the embodiment 2 of the invention discloses a method applied to the mine cage overload retention detection device, which comprises the following steps:
step (1): the elevator control system acquires the acquired data of the light curtain entrance guard in real time according to the current cage position (upper wellhead or lower wellhead), obtains the number of the entering and exiting tanks, and closes the light curtain entrance guard when the number of people in the tanks exceeds a preset number threshold value, so that the one-level protection of overload detection is realized.
Step (2): the real-time detection of the preset violation by the neural network detection model of the AI camera passing through the preset violation comprises the following steps: the number of the personnel counts whether the personnel is overloaded or not, whether the personnel posture judges whether the personnel falls down or not, whether the detention time is overtime or not, whether a handle or a material extends out of the tank (outside a safety zone) or not, whether a safety helmet, a wearing tool and the like are worn according to regulations or not, and the like are sent to an audible and visual alarm to execute corresponding violation alarm, so that the personnel taking the tank are prompted, and violation behavior pictures and violation alarm signal records are uploaded to a control system of the elevator.
And (3): the elevator control system detects preset dangerous behaviors in the violation behavior photo and the violation alarm signal in real time, and the method comprises the following steps: and (4) judging whether the person falls down or not, whether a handle or a material extends out of the tank (out of a safety area) or not by the posture of the person, and controlling the elevator to stop running until the person returns to normal.
Further comprising: the secondary protection that whether AI camera detection personnel quantity statistics overloads for realizing overload detection, only the light curtain entrance guard jar interior number of people data and the AI camera that elevator control system received count not all to overload, the lifting machine could operate.
The embodiment of the invention discloses a mine cage overload retention detection device and system. The method comprises the following steps of acquiring images in a cage in real time through an AI camera, and embedding a preset violation neural network detection model through a core processing module arranged in the AI camera to detect the preset violation: the number of the personnel counts whether the personnel is overloaded or not, whether the personnel posture judges whether the personnel falls down or not, whether the detention time is overtime or not, whether a handle or a material extends out of the tank (outside a safety zone) or not, whether a safety helmet, a wearable tool and the like are worn according to regulations or not, real-time monitoring is carried out, the detected preset violation behaviors are sent to an alarm module to execute corresponding violation alarm, corresponding voice prompt is carried out, and an effective deterrent effect is achieved; simultaneously, upload illegal action photo and illegal alarm signal record to hoist control system, hoist control system detects the dangerous behavior of predetermineeing in the illegal action photo and the illegal alarm signal in real time and includes: and (4) judging whether the person falls down or not, whether a handle or a material extends out of the tank (outside a safety zone) or not by the posture of the person, and controlling the elevator to stop running and enter a protection state until the person returns to a normal state. The invention can detect potential safety hazards and accident states in the cage in real time, discover and prompt automatically in time, and link the elevator to perform quick response action, thereby avoiding accident enlargement, and having important significance for improving the supervision level of a coal mine and realizing safe and efficient production targets.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (7)

1. The utility model provides a mining cage overload is detained detection device which characterized in that includes: the system comprises a camera detection module, an alarm module, a wireless module, a power supply module, a light curtain access control system and a hoist control system;
the elevator control system is in network connection communication with the light curtain access control and is used for real-time statistics of people entering and exiting the tank; the camera detection module is connected with the alarm module through RS485 and is used for sending the preset violation behaviors detected in real time to the alarm module to execute corresponding violation alarm;
the camera detection module is connected with the elevator control system through the wireless module and is used for uploading an illegal action photo and an illegal alarm signal record to the elevator control system, and the elevator control system detects a preset dangerous action in the illegal action photo and the illegal alarm signal in real time;
the power supply module is respectively connected with the camera detection module and the wireless module and used for supplying power to the camera detection module, the wireless module and the alarm module.
2. The mining cage overload retention detection device according to claim 1, wherein the camera detection module is an AI camera, and a core processing module built in the AI camera is embedded with the neural network detection model of the preset violation behavior.
3. The mining cage overload retention detection device of claim 1, wherein the alarm module is an audible and visual alarm.
4. The mining cage overload retention detection device according to claim 1, wherein the power supply module is an explosion-proof UPS power box.
5. The mining cage overload retention detection device of claim 1, wherein the wireless modules are used in pairs and configured in a bridge mode.
6. A method applied to the mining cage overload retention detection device of claims 1-5, and characterized by comprising the following steps:
step (1): the elevator control system acquires the acquired data of the light curtain access control in real time to obtain the number of people coming in and going out of the tank, and when the number of people in the tank exceeds a preset number threshold, the light curtain access control is closed;
step (2): the AI camera detects preset violation behaviors in real time, sends the violation behaviors to the acousto-optic alarm to execute corresponding violation alarm, and uploads violation behavior pictures and violation alarm signal records to the elevator control system;
and (3): and the elevator control system detects preset dangerous behaviors in the violation behavior photo and the violation warning signal in real time and controls the elevator to stop running until the elevator returns to normal.
7. The method applied to the mining cage overload retention detection device according to claims 1 to 5, wherein the AI camera detects the preset violation in real time through the neural network detection model of the preset violation.
CN202211099602.8A 2022-09-09 2022-09-09 Mine cage overload retention detection device and method Pending CN115321298A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117201567A (en) * 2023-11-06 2023-12-08 理工雷科智途(北京)科技有限公司 System and method for controlling cage entering and exiting through underground mining scene perception fusion technology
CN117284904A (en) * 2023-09-22 2023-12-26 西安利雅得电气股份有限公司 Mine hoist control method and control system

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CN112623917A (en) * 2020-12-31 2021-04-09 徐州市工大三森科技有限公司 In-tank danger identification device and method
CN214175107U (en) * 2020-09-17 2021-09-10 华洋通信科技股份有限公司 AI intelligent video identification control system for coal mine
CN114314243A (en) * 2022-01-10 2022-04-12 徐工汉云技术股份有限公司 Elevator overload alarm system and method based on video identification technology

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CN202346529U (en) * 2011-10-14 2012-07-25 东营市宏安电梯有限责任公司 Secondary protection device for elevator overload
CN109052092A (en) * 2018-09-12 2018-12-21 南通星云智能科技有限公司 A kind of distribution elevator safety management system and management method
CN109052093A (en) * 2018-09-29 2018-12-21 浙江云安达物联信息技术有限公司 A kind of method and system of the improper boarding behaviorist risk of early warning
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117284904A (en) * 2023-09-22 2023-12-26 西安利雅得电气股份有限公司 Mine hoist control method and control system
CN117201567A (en) * 2023-11-06 2023-12-08 理工雷科智途(北京)科技有限公司 System and method for controlling cage entering and exiting through underground mining scene perception fusion technology
CN117201567B (en) * 2023-11-06 2024-02-13 理工雷科智途(北京)科技有限公司 System and method for controlling cage entering and exiting through underground mining scene perception fusion technology

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