CN115321298A - Device and method for detecting overload and retention of mining cages - Google Patents

Abstract

The invention discloses a mine cage overload and retention detection device and method, which are applied to the field of control systems for auxiliary shaft hoists in coal mines. The hoist control system communicates with the light curtain access control through the network connection; the camera detection module is connected with the alarm module through RS485; the camera detection module is connected with the hoist control system through the wireless module; the power supply module is respectively connected with the camera detection module and the wireless module. The invention realizes real-time detection of hidden safety hazards and accident states in the cage, timely detection and automatic prompting, and linkage with the hoist to perform rapid response actions, thereby avoiding the expansion of accidents, improving the supervision level of coal mines, and realizing safe and efficient production. Goals are important.

Description

A kind of mining cage overload retention detection device and method

technical field

The invention relates to the field of control systems for hoists in auxiliary shaft shafts in coal mines, in particular to a device and method for detecting overload and retention of mine cages.

Background technique

The coal mine auxiliary shaft is responsible for the lifting of coal mine personnel and materials. It is one of the important links in coal mine production. The safety and production efficiency of the upper and lower wellheads are important factors affecting coal mine production. In recent years, in order to improve the safety, reliability and automation level of the auxiliary shaft operating system in coal mines, R&D personnel have continuously improved the operating system. At present, the domestic coal mine auxiliary shaft hoist control system has basically realized centralized automatic control, which has greatly improved the traditional on-site start-up and operation methods, improved working conditions, reduced the labor intensity of workers, and reduced the occurrence of accidents. However, there are still problems such as imperfect system functions, inconvenient data uploading, and uneven automation of each subsystem, especially for intelligent detection in the cage and unexpected accidents, which cannot be detected and responded quickly, leading to the expansion of accidents .

For this reason, how to provide a mining cage overload detention detection device that can detect potential safety hazards and accident states in the cage in real time, detect them in time and automatically prompt them, and link the hoist to perform rapid response actions, thereby avoiding the expansion of accidents And method is the problem that those skilled in the art need to solve urgently.

Contents of the invention

In view of this, the present invention proposes a mine cage overload retention detection device and method. The present invention can monitor the preset violations in real time, and send the detected preset violations to the alarm module to perform corresponding violation alarms and corresponding voice prompts to play an effective deterrent role; at the same time, photos of violations and violations The alarm signal record is uploaded to the hoist control system, and the hoist control system detects in real time the received photos of violations and the preset dangerous behaviors in the violation alarm signal, and controls the hoist to stop running and enter the protection state until it returns to normal.

In order to achieve the above object, the present invention adopts the following technical solutions:

A mining cage overload detection device includes: a camera detection module, an alarm module, a wireless module, a power supply module, light curtain access control, and a hoist control system.

The hoist control system communicates with the light curtain access control through a network connection for the statistics of personnel entering and exiting the tank.

The camera detection module is connected to the alarm module through RS485, and is used to send the preset violations detected in real time to the alarm module for corresponding violation alarms.

The camera detection module is connected with the elevator control system through the wireless module, and is used to upload the violation photos and violation alarm signal records to the elevator control system, and the elevator control system detects the preset danger in the violation photos and violation alarm signals in real time Behavior.

The power supply module is respectively connected with the camera detection module and the wireless module, and is 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 the built-in core processing module of the AI camera is embedded with a neural network detection model for preset violations.

Optionally, the alarm module is an audible and visual alarm.

Optionally, the power supply module is a flameproof UPS power box.

Optionally, the wireless modules are used in pairs and configured as a bridge mode.

The present invention also provides a method applied to the above-mentioned mine cage overload retention detection device, including:

Step (1): The elevator control system obtains the data collected by the light curtain access control in real time, and obtains the number of people entering and leaving the tank. When the number of people in the tank exceeds the preset threshold, the light curtain access control is turned off.

Step (2): The AI camera detects preset violations in real time and sends them to the sound and light alarm for corresponding violation alarms, and uploads photos of violations and violation alarm signal records to the hoist control system.

Step (3): The control system of the hoist detects in real time the preset dangerous behavior in the photo of the violation and the alarm signal of the violation, and controls the hoist to stop running until it returns to normal.

Optionally, the AI camera detects preset violations in real time through a neural network detection model of preset violations.

It can be seen from the above technical solutions that, compared with the prior art, the present invention provides a mining cage overload detection device and system. The AI camera is used to collect the images inside the cage in real time, and the preset violation behaviors are detected through the neural network detection model embedded in the core processing module of the AI camera, including: whether the number of personnel is overloaded, and whether the personnel posture is judged whether they have fallen , whether the retention time is overdue, whether there are handles or materials protruding out of the tank (outside the safety zone), whether to wear safety helmets and tooling as required for real-time monitoring, and send the detected preset violations to the alarm module for execution Violation alarms, corresponding voice prompts, play an effective deterrent role; at the same time, upload the violation photos and violation alarm signal records to the hoist control system, and the hoist control system detects the presets in the violation photos and violation alarm signals in real time Dangerous behaviors include: judging whether the person falls down, whether there are handles or materials sticking out of the tank (outside the safety zone), etc., control the hoist to stop running and enter the protection state until it returns to normal. The invention realizes real-time detection of potential safety hazards and accident states in the cage, timely discovery and automatic prompting, and linkage with the hoist for quick response actions, thereby avoiding the expansion of accidents, improving the supervision level of coal mines, and realizing safe and efficient production Goals matter.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only It is an embodiment of the present invention, and those skilled in the art can also obtain other drawings according to the provided drawings without creative work.

Fig. 1 is a schematic diagram of the device structure of the present invention.

Fig. 2 is a schematic flow chart of the method of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Example 1:

Embodiment 1 of the present invention discloses a mining cage overload detection device, including: 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 and the light curtain access control are connected and communicated through the network for the statistics of the personnel entering and leaving the tank. The hoist control system obtains the data collected by the light curtain access control in real time according to the current position of the cage (upper wellhead or lower wellhead), and obtains the number of people entering and leaving the tank , when the number of people in the tank exceeds the preset number threshold, the light curtain access control will be turned off.

The camera detection module is an AI camera, and the built-in core processing module of the AI camera is embedded with a neural network detection model for preset violations; the alarm module is an audible and visual alarm; the AI camera is connected with the audible and visual alarm to Preset violations, including: whether the number of personnel is overloaded, whether the personnel posture is judged whether they fall, whether the retention time is overdue, whether there are handles or materials sticking out of the tank (outside the safety zone), whether wearing safety helmets and work clothes according to regulations, etc. Go to the alarm module to execute the corresponding violation alarm and remind the tankers.

The AI camera is connected with the hoist control system through a wireless module, and is used to upload the violation photos and violation alarm signal records to the hoist control system, and the hoist control system detects the preset dangerous behaviors in the violation photos and violation alarm signals in real time Including: judging whether the person falls down, whether there is a handle or the material sticks out of the tank (outside the safety zone), etc., and controls the hoist to stop until it returns to normal.

Since there is no power supply in the general cage, the power supply module adopts an explosion-proof UPS power box, which is connected to the camera detection module and the wireless module respectively, and is used to supply power for the camera detection module, wireless module and alarm module, and to charge or replace the battery when the cage is overhauled .

The wireless modules are used in pairs and configured in bridge mode.

Example 2:

Embodiment 2 of the present invention discloses a method applied to the above-mentioned mining cage overload retention detection device, including:

Step (1): According to the current position of the cage (upper wellhead or lower wellhead), the hoist control system obtains the data collected by the light curtain access control in real time, and obtains the number of people entering and leaving the tank. When the number of people in the tank exceeds the preset threshold, the light curtain is turned off Access control, realizing the first-level protection of overload detection.

Step (2): The AI camera detects preset violations in real time through the neural network detection model of preset violations, including: whether the number of personnel is overloaded, whether the personnel posture is judged whether they fall, whether the retention time is overdue, whether there are handles or materials sticking out of the tank Outside (outside the safety zone), whether to wear safety helmets and work clothes as required, etc., send to the sound and light alarm device to perform corresponding violation alarms, remind tankers, and upload photos of violations and violation alarm signal records to the hoist control system.

Step (3): The hoist control system detects in real time the photos of violations and the preset dangerous behaviors in the violation alarm signal, including: whether the person falls down, whether there is a handle or the material sticks out of the tank (outside the safety zone), etc., and controls the lifting The machine stops running until it returns to normal.

It also includes: whether the statistics of the number of people detected by the AI camera is overloaded is the secondary protection for overload detection. to run.

The embodiment of the invention discloses a mining cage overload retention detection device and system. The AI camera is used to collect the images inside the cage in real time, and the preset violation behaviors are detected through the neural network detection model embedded in the core processing module of the AI camera, including: whether the number of personnel is overloaded, and whether the personnel posture is judged whether they have fallen , whether the retention time is overdue, whether there are handles or materials protruding out of the tank (outside the safety zone), whether to wear safety helmets and tooling as required for real-time monitoring, and send the detected preset violations to the alarm module for execution Violation alarms, corresponding voice prompts, play an effective deterrent role; at the same time, upload the violation photos and violation alarm signal records to the hoist control system, and the hoist control system detects the presets in the violation photos and violation alarm signals in real time Dangerous behaviors include: judging whether the person falls down, whether there are handles or materials sticking out of the tank (outside the safety zone), etc., control the hoist to stop running and enter the protection state until it returns to normal. The invention realizes real-time detection of potential safety hazards and accident states in the cage, timely discovery and automatic prompting, and linkage with the hoist for quick response actions, thereby avoiding the expansion of accidents, improving the supervision level of coal mines, and realizing safe and efficient production Goals matter.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other. As for the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and for the related information, please refer to the description of the method part.

The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention will not 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.

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