A hydraulic support displacement detection device

Abstract

The utility model discloses a kind of hydraulic support displacement detection devices, including camera, identification element, wireless network base station, camera is located in the side of push jack and camera is fixedly connected in the lower surface of hydraulic support roof beam, the lens shooting direction of camera is downward and lens axis is perpendicular with the transport direction of scraper conveyor;The identification element is fixedly connected with roof beam fixed seat;The camera is wirelessly connected with wireless network base station and can transmit the image photographed to wireless network base station, and wireless network base station is connected with centralized control center network through downhole industrial ring network.The utility model realizes non-contact stable measurement operation, avoids the wear and tear and blockage problem after long-term use of contact type sensor, reduces measurement error;And it can realize the real-time monitoring of displacement amount, ensure that measurement data is continuous and reliable, effectively improve the accuracy and measurement efficiency of fully mechanized working face push stroke measurement.

Description

Technical Field

[0001] This utility model relates to the field of hydraulic supports, and in particular to a hydraulic support displacement detection device. Background Technology

[0002] The hydraulic support's pushing stroke (the distance advanced along the scraper conveyor direction) is a key parameter in fully mechanized mining faces, directly determining the cutting accuracy of the coal mining machine and the efficiency of the working face advancement. Inaccurate measurement can easily lead to over-cutting, under-cutting, and misalignment of the support. Traditionally, the pushing stroke measurement mainly relies on the displacement sensor of the pushing jack. For example, a jack displacement sensor disclosed in patent number ZL201821447266.0 integrates the displacement sensor between the jack cylinder and the piston rod, directly collecting the extension and retraction. However, during use, it was found that working face vibration can cause wear on the sensor rod and blockage of the signal interface by coal sludge, which can easily lead to cumulative errors and affect the accuracy of hydraulic support displacement detection. Therefore, it is necessary to improve this method. Summary of the Invention

[0003] The purpose of this invention is to address the above-mentioned problems by providing a hydraulic support displacement detection device with a simple structure and extended service life.

[0004] To achieve the above objectives, the technical solution of this utility model is as follows: A hydraulic support displacement detection device includes a camera, an identifier, and a wireless network base station. The camera is located on one side of the pushing jack and is fixedly connected to the lower surface of the hydraulic support top beam. The camera lens faces downwards and the lens axis is perpendicular to the transport direction of the scraper conveyor. The identifier is located below the camera and within the field of view of the camera lens. The identifier is fixedly connected to the top beam fixing seat. The camera is wirelessly connected to the wireless network base station and can transmit the captured images to the wireless network base station. The wireless network base station is connected to the central control center network through the underground industrial ring network.

[0005] Furthermore, several cameras and markers are provided, and these cameras and markers are correspondingly set and fixedly connected to several hydraulic supports in the coal mine; all cameras are wirelessly connected to a wireless network base station.

[0006] Furthermore, the hydraulic support displacement detection device also includes a support controller for controlling the working state of the hydraulic support. The support controller is connected to the camera and supplies it with power. The support controller is also connected to the central control center and transmits the status information of the hydraulic support to the central control center.

[0007] Furthermore, the hydraulic support displacement detection device also includes a video analysis server for processing and analyzing captured images. The wireless network base station is connected to the signal input terminal of the video analysis server through the industrial ring network and transmits the captured images from the camera to the video analysis server for analysis and processing. The signal output terminal of the video analysis server is connected to the central control center network through the industrial ring network and transmits the analyzed image data and displacement data to the central control center.

[0008] Furthermore, the sign is a rectangular plate with positioning holes at its corners, which are bolted to the top beam fixing seat. The outer surface of the sign is coated with sign paint.

[0009] Compared with the prior art, the advantages and positive effects of this utility model are: This invention uses a camera to capture images containing markers, then transmits them to a video analysis processor. The processor determines the distance between the marker and the camera based on the size ratio of the marker in the image, thereby determining the distance between the top beam and the top beam fixing seat in the hydraulic support, thus realizing the monitoring of the displacement of the hydraulic support. It achieves non-contact and stable measurement, avoiding the wear and clogging problems of contact sensors after long-term use, and reducing measurement errors. Furthermore, it can realize real-time monitoring of displacement, ensuring continuous and reliable measurement data, and effectively improving the accuracy and efficiency of measuring the advance stroke of the fully mechanized mining face. On the other hand, the components of this utility model are connected by wired or wireless means to form a complete measurement system, which is compatible with the installation environment of existing hydraulic supports and scraper conveyors in fully mechanized mining faces. It does not require major modifications to the original equipment structure. Furthermore, the entire measurement process does not require manual intervention or adjustment, reducing human error and further improving the reliability of the measurement data. Attached Figure Description

[0010] To more clearly illustrate the technical solutions in the embodiments of this utility model or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is an installation effect diagram of the present invention; Figure 2 This is the framework logic diagram of this utility model; Figure 3 This is a structural diagram of the identification component. Detailed Implementation

[0012] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, any modifications, equivalent substitutions, improvements, etc., made by those skilled in the art to all other embodiments obtained without creative effort should be included within the protection scope of the present utility model.

[0013] like Figure 1 , Figure 2 and Figure 3 As shown, this embodiment discloses a hydraulic support displacement detection device, including a camera 4, an identification component 5, a wireless network base station, a central control center, a support controller, and a video analysis server; The camera 4 is located on one side of the pushing jack 3 and is fixedly connected to the lower surface of the top beam 2 of the hydraulic support. The lens of the camera 4 faces downward and the lens axis is perpendicular to the transport direction of the scraper conveyor. The marker 5 is located below the camera 4 and within the lens range of the camera 4. The marker 5 has a positioning hole 501 at its corner and is bolted to the top beam fixing seat 1 through the positioning hole 501. The camera 4 is wirelessly connected to the wireless network base station and can transmit the captured images to the wireless network base station. The wireless network base station is connected to the central control center network through the underground industrial ring network.

[0014] Several cameras 4 and identification components 5 are provided, and several cameras 4 and identification components 5 are correspondingly set and fixedly connected to several hydraulic supports in the coal mine; several cameras 4 are wirelessly connected to wireless network base stations.

[0015] The support controller is connected to camera 4 and provides it with power. The support controller is also connected to the central control center and transmits the status information of the hydraulic support to the central control center.

[0016] The wireless network base station is connected to the signal input terminal of the video analysis server through the industrial ring network and transmits the captured images from the camera to the video analysis server for analysis and processing. The signal output terminal of the video analysis server is connected to the central control center network through the industrial ring network and transmits the analyzed image data and displacement data to the central control center.

[0017] The camera is a high-definition industrial miniature camera, TSAFE-CK698 (resolution 2560×1920, signal-to-noise ratio ≥48dB, shutter speed 1 / 100000s, signal standard PAL), supporting the IEEE802.11B wireless network protocol, and composed of anti-fog and dust-removing lenses. The camera has a built-in image enhancement chip, supporting clear imaging in low-light environments (minimum illumination ≤0.01 lux). The industrial camera is encapsulated in a stainless steel housing using potting compound.

[0018] The camera is fixed to the lower surface of the hydraulic support beam near the jack using a detachable bracket. The installation height is 3-6m above the upper surface of the hydraulic support base. The lens is positioned from the top beam of the support towards the support base to ensure that the marker is completely within the field of view and that the shooting axis is perpendicular to the transport direction of the scraper conveyor, thus avoiding measurement errors caused by viewing angle deviation.

[0019] The sign is a rectangular metal sign plate (420mm×100mm×6mm). The installation direction of the sign is consistent with the pushing direction of the scraper conveyor. Positioning holes are set at the four corners of the sign. It is fixedly connected to the support top beam fixing seat by bolts and anti-detachment clamps. The outer surface of the sign is coated with sign paint. Along the transport direction of the scraper conveyor, each hydraulic support is equipped with an identification piece. The installation position and height of all identification pieces on the same working surface should be kept as consistent as possible, and the surface of the identification plate should be parallel to the shooting axis of the miniature camera to ensure that the identification pieces in different positions present a uniform size ratio in the image.

[0020] The marker serves as a reference for multiple measurements, establishing a conversion relationship between image pixels and actual distance. Through extensive data comparison and calibration, it provides fundamental data for calculating the displacement distance.

[0021] The video analytics server receives and acquires real-time image data via wireless network base station signals; then it communicates with the hydraulic support control system or ground monitoring center through the industrial ring network to upload measurement results and equipment status information. The video analytics server has a built-in temperature compensation chip that automatically corrects the conversion factor between image pixels and actual distance based on the downhole ambient temperature (-20℃ to 60℃). Its operation is as follows: 1. Image preprocessing: The acquired images are subjected to distortion correction and normalization, and then the data is imported into the improved HigherHrNet model for inference calculation to obtain the coordinates of the key points of the push rod; 2. Displacement calculation: Select the coordinates of key points within the video area to determine their positional relationships, and quantitatively calculate the extension and retraction length of the push rod for key points that meet the positional relationship constraints based on the actual base length; 3. Data verification: Compare the calculation results of 5 consecutive frames of images. If the deviation exceeds ±0.5mm, re-identification is triggered to ensure data accuracy. At the same time, it is linked with the pressure sensor data of the hydraulic support pushing jack. When the pressure increases suddenly (determined to be that the support is in place), the current pushing stroke data is locked to avoid misjudgment.

[0022] The bracket controller, which uses a hydraulic support, supplies power to components such as cameras, with the power supply voltage remaining stable at around 5V. Both the miniature camera and the video analytics server are housed in 304 stainless steel, achieving an IP68 protection rating. This allows them to withstand underground coal dust, water mist, and minor impacts. Heat dissipation fins are incorporated into the casing to prevent heat buildup during prolonged operation from affecting performance. Internally, a sealing process is used to prevent moisture from causing short circuits and corrosion to the camera's circuit boards.

[0023] The working process of this utility model is as follows: 1. Initialization phase: After the device is powered on, the video analysis server automatically completes camera parameter calibration (focal length, exposure) and reference marker recognition, establishes an initial image coordinate system, and records the initial position pixel coordinates of the first reference marker as the starting point for displacement measurement; 2. Real-time measurement stage: When the hydraulic support pushes the jack, it drives the hydraulic support to move along the direction of the scraper conveyor. The miniature camera collects images of the marker in real time (one frame every 0.5 seconds) and transmits them to the video analysis server. 3. Data Calculation Stage: The video analysis server preprocesses each frame of the image, extracts the stripe feature points of the reference marker, compares the changes in the pixel coordinates of the feature points between the current frame and the initial frame (or the previous frame), and calculates the real-time pushing stroke of the hydraulic support by combining the preset pixel-distance conversion coefficient. 4. Data Output Stage: The calculated pushing stroke data is uploaded to the central control center in real time through the industrial ring network to form historical data records; at the same time, it is uploaded to the hydraulic support controller for adjusting the jack action parameters; if the measured data exceeds the normal range for 3 consecutive seconds (e.g., pushing speed > 0.5m / min), an audible and visual alarm is triggered to prompt the staff to check the equipment; This utility model has the following advantages: Non-contact measurement: By combining a miniature camera with a marker, direct contact between the traditional displacement sensor and the cylinder and piston rod is avoided, completely solving the problems of rod wear and coal slime clogging the interface in contact measurement, and extending the service life of the equipment to more than 3 years; Strong anti-interference capability: Adopting high-definition image acquisition and digital image processing technology, compared with laser displacement sensors, the influence of coal dust scattering is significantly reduced. In an environment with coal dust concentration ≤200mg / m³, the measurement data interruption rate is less than 0.1%, and the measurement accuracy can reach ±1mm. High adaptability: The device adopts a detachable installation structure, which does not require modification of existing hydraulic supports and scraper conveyors. It can be adapted to different models of hydraulic supports (such as ZY12000 and ZY8000 series). The installation and commissioning time is shortened to 0.5 hours / unit, which meets the needs of rapid deployment in underground coal mines. High degree of automation: Real-time measurement, data calculation and automatic uploading of the pushing stroke are achieved without manual intervention and adjustment, reducing human operation errors. At the same time, the reliability of measurement data is further improved through multi-frame data verification and pressure linkage verification.

Claims

1. A hydraulic support displacement detection device, characterized in that: The hydraulic support displacement detection device includes a camera, an identifier, and a wireless network base station. The camera is located on one side of the pushing jack and is fixedly connected to the lower surface of the hydraulic support top beam. The camera lens faces downwards and the lens axis is perpendicular to the transport direction of the scraper conveyor. The identifier is located below the camera and within the camera lens's field of view. The identifier is fixedly connected to the top beam fixing seat. The camera is wirelessly connected to the wireless network base station and can transmit the captured images to the wireless network base station. The wireless network base station is connected to the central control center network through the underground industrial ring network.

2. The hydraulic support displacement detection device as described in claim 1, characterized in that: Several cameras and markers are provided, and each camera and marker is correspondingly installed and fixedly connected to a corresponding hydraulic support in the coal mine; all cameras are wirelessly connected to a wireless network base station.

3. The hydraulic support displacement detection device as described in claim 2, characterized in that: The hydraulic support displacement detection device also includes a support controller for controlling the working status of the hydraulic support. The support controller is connected to the camera and provides power to it. The support controller is also connected to the central control center and transmits the status information of the hydraulic support to the central control center.

4. The hydraulic support displacement detection device as described in claim 3, characterized in that: The hydraulic support displacement detection device also includes a video analysis server for processing and analyzing captured images. The wireless network base station is connected to the signal input terminal of the video analysis server through the industrial ring network and transmits the captured images from the camera to the video analysis server for analysis and processing. The signal output terminal of the video analysis server is connected to the central control center network through the industrial ring network and transmits the analyzed image data and displacement data to the central control center.

5. The hydraulic support displacement detection device as described in claim 4, characterized in that: The sign is a rectangular plate with positioning holes at its corners, which are bolted to the top beam fixing seat. The outer surface of the sign is coated with sign paint.

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