CN215158134U - AI colliery sticky tape transportation intelligence control system - Google Patents
AI colliery sticky tape transportation intelligence control system Download PDFInfo
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- CN215158134U CN215158134U CN202120577149.1U CN202120577149U CN215158134U CN 215158134 U CN215158134 U CN 215158134U CN 202120577149 U CN202120577149 U CN 202120577149U CN 215158134 U CN215158134 U CN 215158134U
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Abstract
The AI coal mine belt transportation intelligent control system can be applied to an intelligent working face, realizes the identification of the coal output and the foreign matters of the working face, and realizes the speed regulation and the identification protection of the crossheading belt. The system can timely detect and identify large coal, anchor rods, water coal and the like through a video identification technology and video identification, timely remind operators of a fully mechanized caving face monitoring center through a video alarm and linkage device, can control and protect parking, prevent accidents such as blocking and the like, effectively shorten the response time of emergency events and improve the accuracy of an alarm system.
Description
Technical Field
The utility model relates to a colliery tape transport intelligent control technical field specifically is AI colliery tape transport intelligent control system.
Background
The belt conveyor system of the coal mine plays an important role in ensuring normal production of the mine, and the underground coal transportation of large and medium-sized coal mines mostly adopts a belt conveyor conveying mode; the existing coal mine rubber belt conveying system cannot automatically adjust the rubber belt speed according to the coal quantity, and cannot save energy and improve the rubber belt use efficiency.
SUMMERY OF THE UTILITY MODEL
The utility model mainly aims to provide an AI coal mine belt transportation intelligent control system to overcome the defects in the prior art;
in order to solve the technical problem, the utility model provides a following technical scheme:
AI colliery sticky tape transportation intelligence control system, its characterized in that: the system comprises a main control computer, a GPU server, a switch, an NVR (network video recorder), a mining intrinsic safety type AI camera, a linear laser calibration light source, a matched power supply and light source, a linkage control gateway and an optical cable, wherein the mining intrinsic safety type AI camera is connected to the linkage control gateway through the optical cable; when the mining intrinsic safety type AI camera is used for calculating the coal quantity, the mining intrinsic safety type AI camera is arranged 20 meters behind the reversed loader and used for detecting the coal flow and providing a basis for intelligent speed regulation of a crossheading belt. The main principle of metering is as follows: the intelligent camera uses a linear laser to calibrate a light source, identifies and processes images through a plurality of algorithms such as an image edge detection method, a threshold segmentation method and the like, combines the width of a belt, calculates the cross-sectional area of coal on the belt, calculates the coal amount on the belt through an integral algorithm according to the running speed, the running time and the density of the belt, and can accurately identify and calculate the coal amount on the belt by using a mining intrinsic safety type AI camera matched with a special linear laser to calibrate the light source mode, and counts the transportation amount of the belt A bridge-shaped bracket of the reversed loader; when the mining intrinsic safety type AI camera realizes foreign matter identification, the edge of a belt, coal and gangue is extracted by utilizing an image semantic segmentation technology, and the areas of various objects are found out. Even under different working scenes, low image contrast and complex objects, the intrinsic safety type AI camera for mining of the object area can still be well found by the algorithm, the intrinsic safety type AI camera has an alarm switching value output interface, is provided with an RS-485 and an Ethernet communication interface, sends a signal to a linkage control gateway or a belt control host according to a set rule, can realize automatic shutdown protection and achieve the purposes of reducing equipment abrasion and energy consumption, the AI coal mine key post potential safety hazard image intelligent identification and analysis system is realized by utilizing the original high-definition camera of a mine and adding a GPU server and video image intelligent identification software, the system adopts an advanced digital video technology, an AI image intelligent identification technology and a fuzzy control technology, and utilizes video monitoring images of the coal mine underground camera to monitor and identify the running conditions of personnel, equipment and the like, the method comprises the steps of identifying monitoring images of key underground posts or personnel operation violation images, capturing photos, automatically recording videos, alarming by flicking a screen, and outputting alarm signals. According to the urgent application of the prior principle, intelligent detection is preferentially realized on the hidden dangers with frequent events and serious consequences, and the types and the identification rates of hidden danger identification can be gradually increased by collecting and sorting various hidden danger samples; the AI intelligent recognition platform is trained based on a picture deep learning technology, so that intelligent recognition of various violations and hidden dangers common to coal mines can be realized, popup alarm, photo snapshot, video recording, log recording can be performed after recognition, a linkage control command is sent out, and on-site broadcast voice alarm reminding, equipment parking and the like are realized; the system is combined with the coal mine safety production service, an AI intelligent identification control platform is utilized to realize the intelligent analysis and alarm of hidden dangers such as unsafe behaviors of underground people, unsafe states of objects, unsafe factors of the environment and the like, and the hidden danger alarm processing and analysis are realized according to the set hidden danger processing rules to form a service closed loop, assist the supervision personnel, improve the supervision efficiency and reduce the occurrence of underground accidents of the coal mine;
optionally, the linkage control gateway is a KJJ113 linkage control gateway;
optionally, the intrinsically safe AI camera is provided with an RS-485 and an ethernet communication interface;
has the advantages that: the utility model discloses AI colliery sticky tape transportation intelligence control system passes through the video identification technique, through video identification, to the timely detection discernment of ability such as bold coal, stock, water coal, through video alarm and aggregate unit, in time reminds to combine to put the working face monitoring center operating personnel to can control the protection parking, prevent the emergence of accidents such as heap stifled, effectually shorten emergency response time, improve alarm system's accuracy, the utility model provides an use image analysis technique, analysis coal volume size to according to the big or small change sticky tape transportation speed of coal volume, improve the availability factor of sticky tape and energy saving.
Drawings
FIG. 1 is a schematic diagram of the system structure of the present invention;
FIG. 2 is a schematic structural view of an installation diagram of the apparatus of the present invention;
FIG. 3 is a schematic structural view of an installation mode of the AI camera (coal amount);
fig. 4 is a schematic diagram of the connection of the AI camera (coal volume);
fig. 5 is a schematic structural view of an installation mode of the AI camera (foreign matter) of the present invention;
fig. 6 is a schematic view of the AI camera (foreign object) connection of the present invention;
fig. 7 is a schematic diagram of a system communication structure of the present invention;
Detailed Description
The technical solution of the present invention will be described clearly and completely with reference to the accompanying drawings, and obviously, the described embodiments are some, but not all embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
As shown in fig. 1-7, the AI coal mine belt transportation intelligent control system of the device is characterized in that: the system comprises a main control computer, a GPU server, a switch, an NVR (network video recorder), a mining intrinsic safety type AI camera, a linear laser calibration light source, a matched power supply and light source, a linkage control gateway and an optical cable, wherein the mining intrinsic safety type AI camera is connected to the linkage control gateway through the optical cable; when the mining intrinsic safety type AI camera is used for calculating the coal quantity, the mining intrinsic safety type AI camera is arranged 20 meters behind the reversed loader and used for detecting the coal flow and providing a basis for intelligent speed regulation of a crossheading belt. The main principle of metering is as follows: the intelligent camera uses a linear laser to calibrate a light source, identifies and processes images through a plurality of algorithms such as an image edge detection method, a threshold segmentation method and the like, combines the width of a belt, calculates the cross-sectional area of coal on the belt, calculates the coal amount on the belt through an integral algorithm according to the running speed, the running time and the density of the belt, and can accurately identify and calculate the coal amount on the belt by using a mining intrinsic safety type AI camera matched with a special linear laser to calibrate the light source mode, and counts the transportation amount of the belt A bridge-shaped bracket of the reversed loader; when the mining intrinsic safety type AI camera realizes foreign matter identification, the edge of a belt, coal and gangue is extracted by utilizing an image semantic segmentation technology, and the areas of various objects are found out. Even under different working scenes, low image contrast and complex objects, the intrinsic safety type AI camera for mining of the object area can still be well found by the algorithm, the intrinsic safety type AI camera has an alarm switching value output interface, is provided with an RS-485 and an Ethernet communication interface, sends a signal to a linkage control gateway or a belt control host according to a set rule, can realize automatic shutdown protection and achieve the purposes of reducing equipment abrasion and energy consumption, the AI coal mine key post potential safety hazard image intelligent identification and analysis system is realized by utilizing the original high-definition camera of a mine and adding a GPU server and video image intelligent identification software, the system adopts an advanced digital video technology, an AI image intelligent identification technology and a fuzzy control technology, and utilizes video monitoring images of the coal mine underground camera to monitor and identify the running conditions of personnel, equipment and the like, the method comprises the steps of identifying monitoring images of key underground posts or personnel operation violation images, capturing photos, automatically recording videos, alarming by flicking a screen, and outputting alarm signals. According to the urgent application of the prior principle, intelligent detection is preferentially realized on the hidden dangers with frequent events and serious consequences, and the types and the identification rates of hidden danger identification can be gradually increased by collecting and sorting various hidden danger samples; the AI intelligent recognition platform is trained based on a picture deep learning technology, so that intelligent recognition of various violations and hidden dangers common to coal mines can be realized, popup alarm, photo snapshot, video recording, log recording can be performed after recognition, a linkage control command is sent out, and on-site broadcast voice alarm reminding, equipment parking and the like are realized; the system is combined with the coal mine safety production service, an AI intelligent identification control platform is utilized to realize the intelligent analysis and alarm of hidden dangers such as unsafe behaviors of underground people, unsafe states of objects, unsafe factors of the environment and the like, and the hidden danger alarm processing and analysis are realized according to the set hidden danger processing rules to form a service closed loop, assist the supervision personnel, improve the supervision efficiency and reduce the occurrence of underground accidents of the coal mine; the linkage control gateway is a KJJ113 linkage control gateway; the intrinsic safety type AI camera is provided with an RS-485 and Ethernet communication interface.
The working principle is as follows: when the mining intrinsic safety type AI camera is used for calculating the coal quantity, the mining intrinsic safety type AI camera is arranged 20 meters behind the reversed loader and used for detecting the coal flow and providing a basis for intelligent speed regulation of a crossheading belt. The main principle of metering is as follows: the intelligent camera uses a linear laser to calibrate a light source, identifies and processes images through a plurality of algorithms such as an image edge detection method, a threshold segmentation method and the like, combines the width of a belt, calculates the cross-sectional area of coal on the belt, calculates the coal amount on the belt through an integral algorithm according to the running speed, the running time and the density of the belt, and can accurately identify and calculate the coal amount on the belt by using a mining intrinsic safety type AI camera matched with a special linear laser to calibrate the light source mode, and counts the transportation amount of the belt A bridge-shaped bracket of the reversed loader; when the mining intrinsic safety type AI camera realizes foreign matter identification, the edge of a belt, coal and gangue is extracted by utilizing an image semantic segmentation technology, and the areas of various objects are found out. Even under different working scenes, low image contrast and complex objects, the intrinsic safety type AI camera for mining of the object area can still be well found by the algorithm, the intrinsic safety type AI camera has an alarm switching value output interface, is provided with an RS-485 and an Ethernet communication interface, sends a signal to a linkage control gateway or a belt control host according to a set rule, can realize automatic shutdown protection and achieve the purposes of reducing equipment abrasion and energy consumption, the AI coal mine key post potential safety hazard image intelligent identification and analysis system is realized by utilizing the original high-definition camera of a mine and adding a GPU server and video image intelligent identification software, the system adopts an advanced digital video technology, an AI image intelligent identification technology and a fuzzy control technology, and utilizes video monitoring images of the coal mine underground camera to monitor and identify the running conditions of personnel, equipment and the like, the method comprises the steps of identifying monitoring images of key underground posts or personnel operation violation images, snapshotting photos, automatically recording videos, alarming by popping a screen, outputting alarm signals and avoiding the hidden danger of common safety production accidents of coal mines.
Claims (5)
- AI colliery tape transportation intelligence control system, its characterized in that: the mining intrinsic safety type AI camera shooting instrument is connected to the linkage control gateway through the optical cable, the coal quantity and the foreign matter data of the mining intrinsic safety type AI camera shooting instrument received by the KJJ113 gateway need to be transmitted to a working face control system, and the belt frequency conversion speed regulation and the identification protection control are realized.
- 2. The AI coal mine belt conveyor intelligent control system of claim 1, wherein: the linkage control gateway is a KJJ113 linkage control gateway.
- 3. The AI coal mine belt conveyor intelligent control system of claim 1, wherein: the intrinsic safety type AI camera is provided with an RS-485 and Ethernet communication interface.
- 4. The AI coal mine belt conveyor intelligent control system of claim 1, wherein: the safety AI camera is arranged on a belt to be detected and a bridge-shaped support of the reversed loader.
- 5. The AI coal mine belt conveyor intelligent control system of claim 1, wherein: the linear laser calibration light source is connected with the mining intrinsic safety type AI camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202120577149.1U CN215158134U (en) | 2021-03-22 | 2021-03-22 | AI colliery sticky tape transportation intelligence control system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202120577149.1U CN215158134U (en) | 2021-03-22 | 2021-03-22 | AI colliery sticky tape transportation intelligence control system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114394394A (en) * | 2022-02-25 | 2022-04-26 | 国能神东煤炭集团有限责任公司 | Control system and control method for adhesive tape machine |
| CN115504187A (en) * | 2022-09-22 | 2022-12-23 | 中信重工开诚智能装备有限公司 | Intelligent speed regulation and protection system for mining belt and control method |
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2021
- 2021-03-22 CN CN202120577149.1U patent/CN215158134U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114394394A (en) * | 2022-02-25 | 2022-04-26 | 国能神东煤炭集团有限责任公司 | Control system and control method for adhesive tape machine |
| CN115504187A (en) * | 2022-09-22 | 2022-12-23 | 中信重工开诚智能装备有限公司 | Intelligent speed regulation and protection system for mining belt and control method |
| CN115504187B (en) * | 2022-09-22 | 2023-06-13 | 中信重工开诚智能装备有限公司 | Intelligent speed regulation and protection system and control method for mining belt |
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