CN109778942B - A centering control system and method for an electric shovel in an open-pit mine - Google Patents
A centering control system and method for an electric shovel in an open-pit mine Download PDFInfo
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Abstract
Description
技术领域technical field
本发明属于露天矿开采技术领域,特别是涉及一种露天矿电铲对中控制系统及方法。The invention belongs to the technical field of open-pit mining, and in particular relates to a centering control system and method of an electric shovel in an open-pit mine.
背景技术Background technique
对于采用单斗-卡车工艺的大型露天矿山,电铲是主要生产设备,电铲效率的高低,不但影响采装成本,同时也会影响穿爆、运输和排土环节的生产成本。而影响电铲效率的因素众多,且部分因素与因素之间也存在相互影响,主要的影响因素包括车铲匹配、装车方式、工作面参数、管理系统等。For large-scale open-pit mines using the single-bucket-truck process, the electric shovel is the main production equipment. The efficiency of the electric shovel not only affects the cost of mining and installation, but also affects the production cost of blasting, transportation and soil discharge. There are many factors that affect the efficiency of electric shovels, and some factors also interact with each other. The main influencing factors include the matching of shovels, loading methods, working surface parameters, and management systems.
电铲装载一斗的循环时间包括挖掘时间、重载回转时间、卸载时间和空载回转时间。实践表明,不论采用何种装车和卡车入换方式,卸载时间占电铲装载总时间比重都非常大,有时甚至需要2-3次卡车入换。The cycle time of an electric shovel loading a bucket includes digging time, heavy-load turning time, unloading time and no-load turning time. Practice has shown that no matter what loading and truck replacement methods are used, the unloading time accounts for a very large proportion of the total loading time of the electric shovel, and sometimes even 2-3 truck replacements are required.
目前,一些露天矿山正在尝试采用全新技术来实现卡车定位,这些新技术包括基于光电传感器或光反射原理进行卡车定位、采用GPS技术进行卡车定位、激光扫描测距技术卡车定位等。At present, some open-pit mines are trying to use new technologies to realize truck positioning. These new technologies include truck positioning based on photoelectric sensors or light reflection principles, using GPS technology for truck positioning, and laser scanning ranging technology for truck positioning.
但是,采用上述几种新技术进行卡车定位,始终无法有效解决准确定位、卡车偏移等问题,也就无法真正指导电铲吊具进行快速准确的操作。However, the above-mentioned several new technologies for truck positioning cannot effectively solve the problems of accurate positioning and truck offset, and cannot really guide the electric shovel spreader to perform fast and accurate operations.
发明内容Contents of the invention
针对现有技术存在的问题,本发明提供一种露天矿电铲对中控制系统及方法,能够有效解决准确定位、卡车偏移等问题,能够指导电铲吊具进行快速准确的操作,最大限度的发挥挖掘机与卡车的使用效率,减少非生产停留时间,对提高经济效益有着重要的意义。Aiming at the problems existing in the prior art, the present invention provides an electric shovel centering control system and method for open-pit mines, which can effectively solve problems such as accurate positioning and truck offset, and can guide the electric shovel spreader to perform fast and accurate operations, maximizing Maximizing the use efficiency of excavators and trucks and reducing non-production dwell time are of great significance to improving economic benefits.
为了实现上述目的,本发明采用如下技术方案:一种露天矿电铲对中控制系统,包括卡车车型识别单元、卡车停车位置投影标定单元、电铲铲斗空间定位单元及上位机;所述卡车车型识别单元包括车型识别相机,所述车型识别相机位于电铲铲斗上方,通过车型识别相机对卡车车斗的轮廓图像进行获取;在所述上位机内建立有卡车车型数据库,所述车型识别相机获取的卡车车斗轮廓图像用于与卡车车型数据库进行图像匹配,通过图像匹配过程得到卡车车斗的实际样式;所述卡车停车位置投影标定单元包括投影仪及投影仪位置调整架,所述投影仪位置调整架安装在电铲悬臂上,所述投影仪安装在投影仪位置调整架上,通过投影仪在地面上投射出卡车顶靠线和卡车后轮位置标定线,卡车司机以卡车顶靠线和卡车后轮位置标定线为依据对卡车位置进行调整;所述电铲铲斗空间定位单元包括三维成像双CCD相机,所述三维成像双CCD相机安装在电铲悬臂顶部的天轮下方,通过三维成像双CCD相机对电铲铲斗的空间位置进行实时定位;所述上位机内嵌装有深度学习程序,通过深度学习程序的训练过程对卡车车斗内的料堆轮廓线进行识别,利用当前的料堆轮廓线与卡车车斗的相对位置关系判断电铲铲斗的落料位置,电铲驾驶员根据判断结果控制电铲铲斗进行移动;在电铲驾驶室内设有显示屏,所述三维成像双CCD相机获取的图像实时传输至显示屏,通过显示屏实时显示电铲铲斗和卡车的实时位置。In order to achieve the above object, the present invention adopts the following technical solutions: a centering control system for electric shovels in open-pit mines, including a truck model identification unit, a truck parking position projection calibration unit, an electric shovel bucket spatial positioning unit, and a host computer; The vehicle type identification unit includes a vehicle type identification camera, the vehicle type identification camera is located above the electric shovel bucket, and the profile image of the truck body is acquired through the vehicle type identification camera; a truck type database is established in the host computer, and the vehicle type identification The truck body outline image acquired by the camera is used for image matching with the truck model database, and the actual style of the truck body is obtained through the image matching process; the truck parking position projection calibration unit includes a projector and a projector position adjustment frame, and the The position adjustment frame of the projector is installed on the cantilever of the electric shovel. The projector is installed on the position adjustment frame of the projector, and the truck top alignment line and the truck rear wheel position calibration line are projected on the ground through the projector. The position of the truck is adjusted based on the line and the position calibration line of the rear wheel of the truck; the space positioning unit of the electric shovel bucket includes a three-dimensional imaging dual CCD camera, and the three-dimensional imaging dual CCD camera is installed under the sky wheel on the top of the electric shovel cantilever , real-time positioning of the spatial position of the electric shovel bucket through three-dimensional imaging dual CCD cameras; the upper computer is embedded with a deep learning program, and recognizes the contour line of the stockpile in the truck bucket through the training process of the deep learning program , using the relative positional relationship between the current stockpile outline and the truck body to judge the blanking position of the electric shovel bucket, and the electric shovel driver controls the electric shovel bucket to move according to the judgment result; there is a display screen in the electric shovel cab , the images acquired by the three-dimensional imaging dual CCD cameras are transmitted to the display screen in real time, and the real-time positions of the electric shovel bucket and the truck are displayed in real time through the display screen.
一种露天矿电铲对中控制方法,采用了所述的露天矿电铲对中控制系统,包括如下步骤:A method for controlling the centering of an electric shovel in an open-pit mine, using the described centering control system for an electric shovel in an open-pit mine, comprising the following steps:
步骤一:控制电铲铲斗完成铲煤动作,再将完成铲煤动作的电铲铲斗移动到落料区;Step 1: Control the electric shovel bucket to complete the coal shoveling action, and then move the electric shovel bucket that has completed the coal shoveling action to the blanking area;
步骤二:将卡车驶入落料区,通过车型识别相机对卡车车斗的轮廓图像进行获取,再将获取的卡车车斗轮廓图像与卡车车型数据库进行图像匹配,直到获取卡车车斗的实际样式;Step 2: Drive the truck into the blanking area, acquire the outline image of the truck body through the model recognition camera, and then match the acquired outline image of the truck body with the truck model database until the actual style of the truck body is obtained ;
步骤三:自动调整投影仪与电铲铲斗的距离,再通过投影仪在地面上投射出卡车顶靠线和卡车后轮位置标定线,并引导卡车司机按线停靠卡车;Step 3: Automatically adjust the distance between the projector and the electric shovel bucket, and then project the truck top line and truck rear wheel position calibration line on the ground through the projector, and guide the truck driver to park the truck according to the line;
步骤四:在按线停靠卡车的过程中,卡车司机需要不断调整卡车位置,直到卡车的中心线与电铲铲斗的回转轴线保持对中;Step 4: During the process of parking the truck according to the line, the truck driver needs to constantly adjust the position of the truck until the center line of the truck is aligned with the rotation axis of the electric shovel bucket;
步骤五:通过三维成像双CCD相机对电铲铲斗的空间位置进行实时定位,以保证电铲铲斗内的煤料能够落到卡车的中心线上;Step 5: Real-time positioning of the spatial position of the electric shovel bucket through three-dimensional imaging dual CCD cameras to ensure that the coal in the electric shovel bucket can fall on the center line of the truck;
步骤六:通过深度学习程序的训练过程来识别卡车车斗内的料堆轮廓线,利用当前的料堆轮廓线与卡车车斗的相对位置关系判断电铲铲斗的落料位置,电铲驾驶员根据判断结果控制电铲铲斗进行移动,以保证装煤效率的最大化;Step 6: Through the training process of the deep learning program, identify the contour line of the stockpile in the truck body, and use the relative positional relationship between the current stockpile contour line and the truck body to determine the blanking position of the electric shovel bucket, and drive the electric shovel The operator controls the electric shovel bucket to move according to the judgment result to ensure the maximization of coal loading efficiency;
步骤七:当电铲铲斗完成卸料后,将卡车驶出落料区。Step 7: After the electric shovel bucket has finished unloading, drive the truck out of the unloading area.
本发明的有益效果:Beneficial effects of the present invention:
本发明的露天矿电铲对中控制系统及方法,能够有效解决准确定位、卡车偏移等问题,能够指导电铲吊具进行快速准确的操作,最大限度的发挥挖掘机与卡车的使用效率,减少非生产停留时间,对提高经济效益有着重要的意义。The electric shovel centering control system and method for open-pit mines of the present invention can effectively solve problems such as accurate positioning and truck offset, can guide the electric shovel spreader to perform fast and accurate operations, and maximize the use efficiency of excavators and trucks. Reducing non-production residence time is of great significance to improving economic efficiency.
附图说明Description of drawings
图1为本发明的一种露天矿电铲对中控制系统的结构示意图;Fig. 1 is the structure schematic diagram of a kind of surface mine electric shovel centering control system of the present invention;
图中,1—电铲铲斗,2—卡车车斗,3—投影仪,4—电铲悬臂,5—三维成像双CCD相机,6—天轮。In the figure, 1—electric shovel bucket, 2—truck body, 3—projector, 4—electric shovel cantilever, 5—three-dimensional imaging dual CCD camera, 6—sky wheel.
具体实施方式Detailed ways
下面结合附图和具体实施例对本发明做进一步的详细说明。The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
如图1所示,一种露天矿电铲对中控制系统,包括卡车车型识别单元、卡车停车位置投影标定单元、电铲铲斗空间定位单元及上位机;所述卡车车型识别单元包括车型识别相机,所述车型识别相机位于电铲铲斗1上方,通过车型识别相机对卡车车斗2的轮廓图像进行获取;在所述上位机内建立有卡车车型数据库,所述车型识别相机获取的卡车车斗2轮廓图像用于与卡车车型数据库进行图像匹配,通过图像匹配过程得到卡车车斗2的实际样式;所述卡车停车位置投影标定单元包括投影仪3及投影仪位置调整架,所述投影仪位置调整架安装在电铲悬臂4上,所述投影仪3安装在投影仪位置调整架上,通过投影仪3在地面上投射出卡车顶靠线和卡车后轮位置标定线,卡车司机以卡车顶靠线和卡车后轮位置标定线为依据对卡车位置进行调整;所述电铲铲斗空间定位单元包括三维成像双CCD相机5,所述三维成像双CCD相机5安装在电铲悬臂4顶部的天轮6下方,通过三维成像双CCD相机5对电铲铲斗1的空间位置进行实时定位;所述上位机内嵌装有深度学习程序,通过深度学习程序的训练过程对卡车车斗2内的料堆轮廓线进行识别,利用当前的料堆轮廓线与卡车车斗2的相对位置关系判断电铲铲斗1的落料位置,电铲驾驶员根据判断结果控制电铲铲斗1进行移动;在电铲驾驶室内设有显示屏,所述三维成像双CCD相机5获取的图像实时传输至显示屏,通过显示屏实时显示电铲铲斗1和卡车的实时位置。As shown in Figure 1, a centering control system for an electric shovel in an open-pit mine includes a truck model identification unit, a truck parking position projection calibration unit, an electric shovel bucket spatial positioning unit, and a host computer; the truck model identification unit includes a vehicle type identification unit camera, the vehicle type recognition camera is located above the electric shovel bucket 1, and the profile image of the
一种露天矿电铲对中控制方法,采用了所述的露天矿电铲对中控制系统,包括如下步骤:A method for controlling the centering of an electric shovel in an open-pit mine, using the described centering control system for an electric shovel in an open-pit mine, comprising the following steps:
步骤一:控制电铲铲斗1完成铲煤动作,再将完成铲煤动作的电铲铲斗1移动到落料区;Step 1: Control the electric shovel bucket 1 to complete the coal shoveling action, and then move the electric shovel bucket 1 that has completed the coal shoveling action to the blanking area;
步骤二:将卡车驶入落料区,通过车型识别相机对卡车车斗2的轮廓图像进行获取,再将获取的卡车车斗2轮廓图像与卡车车型数据库进行图像匹配,直到获取卡车车斗2的实际样式;Step 2: Drive the truck into the blanking area, acquire the outline image of the
步骤三:自动调整投影仪3与电铲铲斗1的距离,再通过投影仪3在地面上投射出卡车顶靠线和卡车后轮位置标定线,并引导卡车司机按线停靠卡车;Step 3: Automatically adjust the distance between the
步骤四:在按线停靠卡车的过程中,卡车司机需要不断调整卡车位置,直到卡车的中心线与电铲铲斗1的回转轴线保持对中;Step 4: During the process of parking the truck according to the line, the truck driver needs to constantly adjust the position of the truck until the center line of the truck is aligned with the rotation axis of the electric shovel bucket 1;
步骤五:通过三维成像双CCD相机5对电铲铲斗1的空间位置进行实时定位,以保证电铲铲斗1内的煤料能够落到卡车的中心线上;为了让煤料尽可能的落到卡车的中心线上,可以建立一个坐标系,通过建立的坐标系来判断卡车中心线的位置,因为在电铲铲斗1卸料过程中,电铲铲斗1的回转轴线与卡车的中心线对中状态是保持不变的,因此可以将电铲铲斗1的回转轴线作为基准并建立一个空间坐标系,从而便可以很容易的确定卡车车斗2中心线上在该空间坐标系中的所有点的位置;Step 5: Real-time positioning of the spatial position of the electric shovel bucket 1 through the three-dimensional imaging
步骤六:通过深度学习程序的训练过程来识别卡车车斗2内的料堆轮廓线,利用当前的料堆轮廓线与卡车车斗2的相对位置关系判断电铲铲斗1的落料位置,电铲驾驶员根据判断结果控制电铲铲斗1进行移动,以保证装煤效率的最大化;Step 6: Through the training process of the deep learning program, identify the contour line of the stockpile in the
步骤七:当电铲铲斗1完成卸料后,将卡车驶出落料区。Step 7: After the electric shovel bucket 1 finishes unloading, drive the truck out of the unloading area.
实施例中的方案并非用以限制本发明的专利保护范围,凡未脱离本发明所为的等效实施或变更,均包含于本案的专利范围中。The solutions in the embodiments are not intended to limit the scope of patent protection of the present invention, and all equivalent implementations or changes that do not deviate from the present invention are included in the patent scope of this case.
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Application publication date: 20190521 Assignee: Dongfang yuyang Information Technology (Beijing) Co.,Ltd. Assignor: LIAONING TECHNICAL University Contract record no.: X2024980007220 Denomination of invention: A center control system and method for open-pit mining electric shovel Granted publication date: 20230516 License type: Common License Record date: 20240617 |