阅读说明：本技术 基于双目视觉的输送带撕裂预防检测装置 (Conveyer belt tears prevention detection device based on binocular vision ) 是由 李亚宁 李科 贾孝平 唐建军 刘晋斌 刘鸿利 于 2019-11-25 设计创作，主要内容包括：本发明是基于双目视觉的输送带撕裂预防检测装置,属于输送带撕裂预防检测技术领域。解决的技术问题为：提供一种能够预防输送带撕裂的检测装置。包括：双目视觉相机、视觉自除尘装置、处理计算机、通过性检测装置、双目识别算法；所述双目视觉相机、视觉自除尘装置安装于输送带转载点、机头等易发生纵撕现象的位置；所述双目识别算法完成对安装位置输送带是否有物料卡滞现象的自动判断；所述声光报警器对外实现报警,所述通过性检测装置对判断结果进行自动确认,完成对输送带可能出现的撕裂现象进行准确判断。(The invention discloses a binocular vision-based conveyor belt tearing prevention and detection device, and belongs to the technical field of conveyor belt tearing prevention and detection. The technical problem to be solved is as follows: provided is a detection device capable of preventing a conveyor belt from being torn. The method comprises the following steps: the system comprises a binocular vision camera, a vision self-dedusting device, a processing computer, a trafficability detecting device and a binocular recognition algorithm; the binocular vision camera and the vision self-dedusting device are arranged at positions where longitudinal tearing is easy to occur, such as a transfer point of a conveying belt, a machine head and the like; the binocular recognition algorithm is used for automatically judging whether the material jamming phenomenon exists on the conveyer belt at the mounting position; the audible and visual alarm gives an alarm to the outside, and the passing detection device automatically confirms the judgment result to accurately judge the tearing phenomenon possibly occurring on the conveying belt.)

1. Prevention detection device is torn to conveyer belt based on binocular vision includes: the system comprises a binocular vision camera (1), a vision self-dedusting device (2), a processing computer (3), a trafficability detection device (4), a binocular recognition algorithm (5) and an audible and visual alarm (6); binocular vision camera (1) is installed and is being followed dust collector (2) inside at the vision, trafficability characteristic detection device (4) and vision are followed dust collector (2) and are in the belt reprint point, the position of the phenomenon is torn from easily taking place to indulge such as aircraft nose installs, binocular recognition algorithm (5) carry out real-time analysis to the point cloud data of gathering, audible-visual annunciator (6) and computer link realize external warning, trafficability characteristic detection device (4) are accomplished and are confirmed when having the warning, it is detained to have the foreign matter to discern at binocular recognition algorithm (5), and pass through trafficability characteristic detection device (4) verify the back and externally output warning or shut down signal, ensure the accurate judgement to the tear condition.

2. The binocular vision based conveyor belt tearing prevention detection apparatus as recited in claim 1, wherein: a binocular vision camera (1) is adopted to collect three-dimensional point cloud data of positions, such as transfer points of a conveying belt, a machine head and the like, which are easy to tear longitudinally in real time.

3. The binocular vision based conveyor belt tearing prevention detection apparatus as recited in claim 1, wherein: the binocular recognition algorithm (5) realizes automatic analysis and judgment of the three-dimensional point cloud data.

4. The binocular vision based conveyor belt tearing prevention detection apparatus as recited in claim 1, wherein: the passing detection device (4) realizes effective verification of a detection result and ensures the accuracy of judgment.

5. Its characterized in that of prevention detection device is torn to conveyer belt based on binocular vision: the acquisition, analysis and judgment of the three-dimensional point cloud data are realized.

6. Its characterized in that of prevention detection device is torn to conveyer belt based on binocular vision: the passing detection device is combined with the three-dimensional data judgment, so that the detection accuracy is improved.

7. Its characterized in that of prevention detection device is torn to conveyer belt based on binocular vision: by adopting the binocular camera, the space separation of the unloading of the transfer point and the clamping stagnation object is effectively distinguished.

Technical Field

The invention discloses a binocular vision-based conveyor belt tearing prevention and detection device, and belongs to the technical field of conveyor belt tearing prevention and detection.

Background

At present, a conveying belt mainly undertakes a raw coal conveying task in a coal mine, equipment such as a coal mining machine, a scraper conveyor and a crusher damage parts in the whole conveying link, large-scale gangue and the like in the raw coal mining process possibly enter a conveying system along with raw coal, and further equipment along the line or the conveying belt is possibly damaged, so that normal production is influenced.

The most easily caused accident of foreign matters in the conveying materials of the conveying belt in the whole conveying link is tearing of the conveying belt. The detection of indulging at present tears basically is based on the detection after tearing the conveyer belt, nevertheless can't realize preventing before tearing the conveyer belt, and the development probably causes tearing object to detect the discernment in advance in transporting the material to the conveyer belt, can effectually avoid tearing emergence, realizes the prevention in advance of the accident of tearing to the conveyer belt.

Adopt binocular vision imaging technique, easily take place to indulge the position of tearing the phenomenon at conveyer belt reprint point, aircraft nose etc. and carry out real-time detection, whether there is the material jamming to distinguish the conveyer belt detection position in the image of shooting, realize when large-scale waste rock or ironware are detained at a fixed position, realize the autoalarm function, adopt passing through nature verifying attachment to confirm whether jamming simultaneously, reach the effect that accurate prevention in advance torn the emergence.

The conveyer belt tears prevention detection device based on binocular vision can realize reliably analyzing, discerning and causing the torn phenomenon to the conveyer belt reprint point, aircraft nose etc. and easily take place to indulge the real-time detection of the position of tearing the phenomenon, gather in real time, the image data of storage, transmission scene, through the analysis to data, judge whether have the object that surpasss the restriction, reduce the conveyer belt and tear the risk, the problem that appears is in time discovered, avoid the accident to enlarge, unusual down time in the greatly reduced production process.

Disclosure of Invention

The invention overcomes the defects of the prior art, and solves the technical problems that: the system can detect and judge the possible tearing condition of the conveying belt on line.

In order to solve the technical problems, the technical scheme of the invention is as follows: prevention detection device is torn to conveyer belt based on binocular vision includes: the system comprises a binocular vision camera, a vision self-dedusting device, a processing computer, a trafficability detecting device, a binocular recognition algorithm and an audible and visual alarm;

the binocular vision cameras are respectively arranged in the vision self-dedusting device to ensure that the vision device can shoot clearly; the binocular vision camera finishes three-dimensional point cloud data acquisition of the installation position, and space position judgment is realized; the binocular recognition algorithm and the processing computer realize automatic analysis of the phenomenon which possibly causes tearing, the affiliated audible and visual alarm realizes audible and visual alarm, and the affiliated passing detection device completes verification on detection results to ensure detection accuracy.

The binocular vision camera realizes three-dimensional data acquisition of the installation position, and increases the information of the spatial position on the basis of plane characteristics.

The vision self-dedusting device automatically cleans the visual field range of the binocular vision camera, and ensures that the binocular vision camera can shoot clearly.

The processing computer completes the operation of the binocular vision algorithm and the output of alarm information, and ensures that the alarm is output when the tearing phenomenon occurs.

The passing detection device completes the confirmation of whether the installing position has the clamping stagnation object or not, and ensures the accuracy of external information.

The binocular recognition algorithm completes real-time analysis and judgment on the acquired three-dimensional data, and early warning is performed on the possible tearing phenomenon, so that tearing is prevented in advance.

The audible and visual alarm finishes the outward audible and visual alarm and prompts related personnel to process in time.

The system can finish the tearing prevention detection of the normally produced conveying belt.

Compared with the prior art, the invention has the following beneficial effects.

According to the invention, binocular vision is adopted to detect the position of the conveyor belt, which is easy to tear, so that three-dimensional judgment of plane characteristics and space coordinates is realized, and the influence of coal flow on judgment during normal coal breakage is avoided.

The trafficability characteristic detection device can complete the actual verification of the judgment result without the confirmation of personnel on site, thereby ensuring the accuracy of the result.

The invention completes the on-line detection of the conveyer belt, and can realize the tear prevention detection without stopping production.

The whole device in the invention has the advantages of simple structure, convenient field installation and adjustment, simple operation and high accuracy, and can greatly improve the operation safety of the conveying belt.

Detailed Description

Prevention detection device is torn to conveyer belt based on binocular vision: 1. the system comprises a binocular vision camera, a binocular vision camera 2, a vision self-dedusting device 3, a processing computer 4, a trafficability detection device 5, a binocular recognition algorithm 6 and an audible and visual alarm;

the binocular vision camera is arranged inside the vision self-dedusting device;

the binocular vision camera is connected with the computer and transmits the acquired three-dimensional data in real time;

the binocular recognition algorithm runs on a processing computer to realize real-time analysis and judgment of the acquired three-dimensional data;

the processing computer is connected with the audible and visual alarm, and controls the audible and visual alarm to carry out external audible and visual alarm according to the analysis and judgment results;

and the processing computer is connected with the passability detection device, and when a tearing phenomenon judgment result is obtained, the processing computer controls the passability detection device to confirm the accuracy.

And the processing computer outputs a control signal to the outside, and informs the computer to output the control signal to the outside when the passability detection device confirms that the tearing condition exists.

In the invention, the binocular vision-based conveyor belt tearing prevention detection device is used for operating as follows: the binocular vision camera 1 is arranged at a position where longitudinal tearing is easy to occur, such as a transfer point of a conveying belt, a machine head and the like, the binocular vision camera 1 is connected with the processing computer 3 through a transmission cable, the passability detection device 4 is connected with the processing computer 3 through a transmission cable, the audible and visual alarm 6 is connected with the processing computer 3 through a control cable, reliable connection among the binocular vision camera 1, the passability detection device 4, the audible and visual alarm 6 and the processing computer 3 is ensured, alarm information is sent to the processing computer 3 through the transmission cable for reliable communication, and the binocular recognition algorithm 5 is confirmed to be capable of stably operating in the processing computer 3; the sound-light alarm 6 can give an alarm normally and the trafficability characteristic detection device 4 can act normally by sending a test command through the processing computer 3, so that the tearing condition of the conveying belt is detected.

While the present invention has been described in detail with reference to the specific embodiments thereof, it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention.