CN111359898A - Online ore sorting equipment and sorting method - Google Patents
Online ore sorting equipment and sorting method Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
- B07C5/3422—Sorting according to other particular properties according to optical properties, e.g. colour using video scanning devices, e.g. TV-cameras
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/363—Sorting apparatus characterised by the means used for distribution by means of air
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Abstract
本发明公开了一种矿石在线分拣设备,包括机身机架,其上安装有下料溜槽、皮带式运输装置、射线源总成、射线探测器、气动式执行组件、接料仓以及控制装置,所述控制装置分别与皮带式运输装置、射线源总成、射线探测器和气动式执行组件电气连接;皮带式运输装置包括两个皮带轴、张紧设置在两个皮带轴之间的皮带和驱动一个皮带轴转动的电机,皮带穿过射线源总成和射线探测器之间;下料溜槽位于皮带一端的上方,气动式执行组件靠近设置在皮带另一端。还提供一种矿石在线分拣设备的分拣方法。本发明具有更高的分辨精度和射线利用率,物料识别能力强,能更好地替代人工作业,提高劳动生产效率,更好地完成矿石智能识别与拣选。
The invention discloses an ore on-line sorting equipment, comprising a fuselage frame, on which are installed an unloading chute, a belt-type transport device, a ray source assembly, a ray detector, a pneumatic executive component, a material receiving bin and a control The control device is electrically connected with the belt-type transport device, the ray source assembly, the ray detector and the pneumatic actuator assembly respectively; A belt and a motor that drives a belt shaft to rotate, the belt passes between the radiation source assembly and the radiation detector; the unloading chute is located above one end of the belt, and the pneumatic actuator is set close to the other end of the belt. Also provided is a sorting method for an ore online sorting device. The invention has higher resolution accuracy and ray utilization rate, strong material identification ability, can better replace manual operation, improve labor production efficiency, and better complete the intelligent identification and selection of ore.
Description
技术领域technical field
本发明涉及矿石机器视觉识别分析与拣选技术领域,特别涉及一种矿石在线分拣设备及分拣方法。The invention relates to the technical field of ore machine visual recognition analysis and sorting, in particular to an ore online sorting device and a sorting method.
背景技术Background technique
当前在矿石在线分拣领域,主要的检测技术有可见光检测、近红外线检测、激光检测、XRF(X射线荧光光谱分析)、XRT(X射线透射)。其中只有XRT可以检测到矿石的内部组成,其他的技术都只能检测到矿石的表面,所以XRT在识别的准确率方面有着得天独厚的优势,也因此成为当前的主流矿石分拣检测技术。而在XRT检测领域,自1953年Jacobson率先提出DEXRT(双能X射线透射)成像技术以来,DEXRT已广泛应用于医疗和工业CT、机场和客运站安全检查、无损检测等领域,近年在矿石在线分拣领域也逐渐成为了主流的检测技术。DEXRT采用两种不同闪烁体分别检测不同能量区间X射线能量强弱的方式来获得两个通道的信息,从而克服被测物的厚度对识别带来的影响。但是闪烁体本身的具有光电转化效率和灵敏度都较低,且易受散射影响的特点,使得图像的对比度和清晰度都受到很大的限制,而且不同闪烁体之间感光区域也有很大的重叠,使得两个通道的信息产生了较大的相互干扰,这些都是DEXRT技术在矿石在线分拣领域取得更优性能的瓶颈。Currently, in the field of ore online sorting, the main detection technologies include visible light detection, near infrared detection, laser detection, XRF (X-ray fluorescence spectroscopy), and XRT (X-ray transmission). Among them, only XRT can detect the internal composition of the ore, and other technologies can only detect the surface of the ore, so XRT has unique advantages in the accuracy of identification, and therefore has become the current mainstream ore sorting and detection technology. In the field of XRT detection, since Jacobson first proposed DEXRT (dual energy X-ray transmission) imaging technology in 1953, DEXRT has been widely used in medical and industrial CT, airport and passenger terminal security inspection, non-destructive testing and other fields. The sorting field has gradually become the mainstream detection technology. DEXRT uses two different scintillators to detect the intensity of X-ray energy in different energy intervals to obtain the information of the two channels, so as to overcome the influence of the thickness of the measured object on the identification. However, the scintillator itself has the characteristics of low photoelectric conversion efficiency and sensitivity, and is easily affected by scattering, which greatly limits the contrast and clarity of the image, and the photosensitive areas between different scintillators also have great overlap. , causing the information of the two channels to interfere greatly with each other, which are the bottlenecks for the DEXRT technology to achieve better performance in the field of ore online sorting.
TDI(Time Delay and Integration)时间延长积分成像技术,是一种扫描技术,是在桢传输设备与采集目标的运动对齐并同步的前提下,对同一采集目标进行多线多次曝光累加电荷产生响应度更高的图像信号。多次曝光本质上提升了扫描时的感光灵敏度,同时多级电荷累加也能有效解决扫描对于光响应不均匀性不敏感的问题。因此与传统的线扫描技术相比,TDI技术能在较低的光照水平下提供了更高的分辨精度、对比度与信噪比。TDI技术基本机制如图1所示意。TDI (Time Delay and Integration) time extension integral imaging technology is a scanning technology. Under the premise that the frame transmission equipment and the movement of the acquisition target are aligned and synchronized, the same acquisition target is subjected to multi-line multiple exposures and accumulated charges to generate response. higher image signal. Multiple exposures essentially improve the photosensitivity during scanning, and multi-level charge accumulation can also effectively solve the problem that scanning is insensitive to light response inhomogeneity. Therefore, compared with traditional line scan technology, TDI technology can provide higher resolution accuracy, contrast and signal-to-noise ratio at lower light levels. The basic mechanism of TDI technology is shown in Figure 1.
TDI技术最早用于可见光线扫描相机,用于解决相机在极高分辨率下,成像质量差的问题。它是解决闪烁体本身的光电转化效率和灵敏度较低问题的理想方案,也正逐渐应用到食品检测、医用CT和无损检测领域等。TDI technology was first used in visible ray scanning cameras to solve the problem of poor image quality of cameras at very high resolution. It is an ideal solution to solve the problem of low photoelectric conversion efficiency and sensitivity of scintillator itself, and it is gradually applied to the fields of food testing, medical CT and non-destructive testing.
多能谱探测器主要是指根据CdTe(碲化镉)和CZT(碲锌镉)这两种半导体探测材料制成的X射线探测器。其成像原理为依靠加在探测器两端的电压(偏压)将入射光子与探测材料直接相互作用产生的电子-空穴对进行收集而产生电离电流信号。X射线探测器的作用原理如图2所示。Multi-spectral detectors mainly refer to X-ray detectors made of two semiconductor detection materials, CdTe (cadmium telluride) and CZT (cadmium zinc telluride). The imaging principle is to collect electron-hole pairs generated by direct interaction between incident photons and detection materials by means of a voltage (bias) applied across the detector to generate ionized current signals. The working principle of the X-ray detector is shown in Figure 2.
闪烁体探测器与多能谱探测器对比:Comparison of scintillator detectors and multispectral detectors:
由上表比较可知:相较于闪烁体探测器而言,多能谱探测器不仅具有更高的射线灵敏度和更高的信噪比,同时能够无重叠地做更多能区的分辨,在物料的识别能力方面是质的飞跃。From the comparison of the above table, we can see that compared with the scintillator detector, the multi-energy spectrum detector not only has higher ray sensitivity and higher signal-to-noise ratio, but also can do more energy range resolution without overlapping. The ability to identify materials is a qualitative leap.
综上所述:DEXRT技术作为在矿石在线分拣领域的主流技术,在取得更优性能的存在重大的瓶颈,而TDI与多能谱X射线检测技术探测器的技术特点正好能够突破此瓶颈。To sum up: DEXRT technology, as the mainstream technology in the field of ore online sorting, has a major bottleneck in achieving better performance, and the technical characteristics of TDI and multi-energy spectrum X-ray detection technology detectors can just break through this bottleneck.
发明内容SUMMARY OF THE INVENTION
本发明的目的是提供一种矿石在线分拣设备,其至少解决了部分上述问题。The object of the present invention is to provide an on-line ore sorting device which solves at least part of the above-mentioned problems.
本发明的上述技术目的是通过以下技术方案得以实现的:The above-mentioned technical purpose of the present invention is achieved through the following technical solutions:
一种矿石在线分拣设备,包括机身机架,所述机身机架上安装有位于其右侧的下料溜槽、位于其底部的皮带式运输装置、位于其中间顶部的射线源总成、位于其中间且与所述射线源总成相对设置的射线探测器、位于其左侧顶部的气动式执行组件、位于其左侧底部的接料仓以及位于其左侧的控制装置,所述控制装置分别与所述皮带式运输装置、所述射线源总成、所述射线探测器和所述气动式执行组件电气连接;所述皮带式运输装置包括两个皮带轴、张紧设置在两个所述皮带轴之间的皮带和驱动一个所述皮带轴转动的电机,所述皮带穿过所述射线源总成和所述射线探测器之间;所述下料溜槽位于所述皮带一端的上方,所述气动式执行组件靠近设置在所述皮带另一端;所述接料仓包括第一料仓和第二料仓,所述第二料仓位于所述气动式执行组件的下方,所述第一料仓临近设置在所述第二料仓的左侧。An on-line sorting equipment for ore, comprising a fuselage frame, on which a discharge chute located on the right side, a belt-type transport device located at the bottom, and a ray source assembly located at the top of the middle are installed on the fuselage rack , a ray detector located in the middle and opposite to the ray source assembly, a pneumatic actuator located at the top of its left side, a material receiving bin located at the bottom of its left side, and a control device located on its left side, said The control device is respectively electrically connected with the belt-type conveying device, the ray source assembly, the ray detector and the pneumatic actuator assembly; the belt-type conveying device includes two belt shafts, which are tensioned on the two belts. A belt between the belt shafts and a motor that drives the belt shaft to rotate, the belt passes between the radiation source assembly and the radiation detector; the unloading chute is located at one end of the belt Above the pneumatic actuator, the pneumatic actuator is arranged close to the other end of the belt; the receiving bin includes a first bin and a second bin, and the second bin is located below the pneumatic actuator, The first silo is disposed adjacent to the left side of the second silo.
进一步优选为:所述射线源总成包括工业X射线源和位于所述工业X射线源下方的准直防护装置。Further preferably, the ray source assembly includes an industrial X-ray source and a collimation protection device located below the industrial X-ray source.
进一步优选为:所述机身机架上还设置有托板组件,所述托板组件设置在所述皮带下面。It is further preferred that: the fuselage frame is further provided with a pallet assembly, and the pallet assembly is arranged under the belt.
进一步优选为:所述托板组件包括多个托块和条孔,多个所述托块与所述皮带相抵,所述条孔的设置方向与所述皮带转动的方向相垂直,所述射线探测器位于所述条孔的下方。It is further preferred that: the support plate assembly includes a plurality of support blocks and strip holes, a plurality of the support blocks are in contact with the belt, the setting direction of the strip holes is perpendicular to the rotation direction of the belt, and the ray A detector is located below the strip hole.
进一步优选为:所述机身机架上还设有位于所述皮带的上方的封尘板,所述封尘板靠近所述下料溜槽,且所述封尘板上设置有集尘孔。It is further preferred that a dust-sealing plate located above the belt is further provided on the fuselage frame, the dust-sealing plate is close to the unloading chute, and a dust-collecting hole is arranged on the dust-sealing plate.
进一步优选为:所述机身机架上还设置有与所述控制装置电气连接的散热空调。It is further preferred that: the fuselage rack is further provided with a cooling air conditioner electrically connected to the control device.
进一步优选为:所述气动式执行组件为喷气气嘴。It is further preferred that the pneumatic actuating component is an air nozzle.
进一步优选为:所述工业X射线源的设备参数为最高电压为225KV,功率在4.5KW/h以下。It is further preferred that the equipment parameters of the industrial X-ray source are that the maximum voltage is 225KV and the power is below 4.5KW/h.
进一步优选为:所述控制装置为PC计算机或嵌入式控制计算器;所述射线探测器为X射线TDI探测器或多能谱探测器。Further preferably, the control device is a PC computer or an embedded control calculator; the ray detector is an X-ray TDI detector or a multi-energy spectrum detector.
本发明还提供一种矿石在线分拣设备的分拣方法,包括如下步骤The present invention also provides a sorting method for ore online sorting equipment, comprising the following steps
S1:根据待分拣矿石的化学成分组成以及物相分析,选择相应型号的射线探测器、工业X射线源及使用数量;S1: According to the chemical composition and phase analysis of the ore to be sorted, select the corresponding type of ray detector, industrial X-ray source and the number of use;
S2:对所述工业X射线源、准直防护装置与所述射线探测器进行光路调试对准;S2: Debug and align the optical path of the industrial X-ray source, the collimation protection device and the ray detector;
S3:根据所述待分拣矿石的成像质量,调节所述工业X射线源和所述射线探测器的设定参数;S3: Adjust the setting parameters of the industrial X-ray source and the ray detector according to the imaging quality of the ore to be sorted;
S4:所述射线探测器对所述待分拣矿石进行图像采集,并传输至控制装置;S4: the ray detector collects the image of the ore to be sorted, and transmits it to the control device;
S5:所述控制装置对所采集的矿石图像进行智能识别分析,并根据设定条件,对所述待分拣矿石的品位进行预估,判断所述待分拣矿石是否合格;S5: The control device performs intelligent identification and analysis on the collected ore images, and estimates the grade of the ore to be sorted according to the set conditions, and judges whether the ore to be sorted is qualified;
S6:若矿石不合格,则所述控制装置控制气动执行组件进行喷气,以将不合格的矿石进行拣选分离。S6: If the ore is unqualified, the control device controls the pneumatic actuator to jet air, so as to sort and separate the unqualified ore.
与现有技术相比,本发明的有益效果是:用于工业生产中的矿石智能识别与拣选,具有速度快、信息量大、准确率高、效率高的特点,与当前主流的DEXRT(Dual Energy X-RayTransmission)双能射线透射技术相比,不仅具有更高的分辨精度和射线利用率,同时在物料识别能力方面也有质的提升,能更好地替代人工作业,减少劳动强度,完成人类不能完成的工作,提高产品生产质量和劳动生产效率。本发明节能、环保,且对人体不会造成不可逆转的伤害;采用X射线穿透技术,能够检测到矿石内部的信息,在高速性、稳定性、可重复性、检测深度等方面的能力远远超过人类视觉系统;很大程度上解决了工业生产现场矿石特征分布奇异、基于矿石表面难以判别的非常规态势矿石的分选问题;用于工业生产矿石识别分析与拣选,矿石识别率≥90%,废石抛出率≥15%,产能≥60t/h;本发明中,涵盖所有XRT检测技术可分辨、识别、预选的具有成像效应的贵金属、有色金属、稀有金属、非金属等矿石;通过准直防护装置以及托盘组件的设置,能够确保矿石在皮带输送过程中,得到良好检测效果,为分选提供良好的前提。Compared with the prior art, the beneficial effects of the present invention are: the intelligent identification and sorting of ore used in industrial production has the characteristics of high speed, large amount of information, high accuracy and high efficiency, which is in line with the current mainstream DEXRT (Dual). Compared with Energy X-Ray Transmission) dual-energy ray transmission technology, it not only has higher resolution accuracy and ray utilization rate, but also has a qualitative improvement in material identification ability, which can better replace manual work, reduce labor intensity, and complete the The work that cannot be done by human beings can improve the quality of product production and the efficiency of labor production. The invention is energy-saving, environmentally friendly, and will not cause irreversible damage to the human body; using the X-ray penetration technology, the information inside the ore can be detected, and the ability in terms of high speed, stability, repeatability, detection depth and the like is far Far more than the human visual system; to a large extent, it has solved the problem of unconventional ore sorting in industrial production sites where the distribution of ore characteristics is singular and difficult to distinguish based on the ore surface; it is used for ore identification, analysis and sorting in industrial production, and the ore identification rate is ≥90 %, the waste rock throwing rate is ≥15%, and the production capacity is ≥60t/h; in the present invention, it covers all precious metals, non-ferrous metals, rare metals, non-metals and other ores with imaging effects that can be distinguished, identified, and preselected by XRT detection technology; Through the setting of the collimation protection device and the tray assembly, it can ensure that the ore can get a good detection effect during the belt conveying process, and provide a good premise for sorting.
附图说明Description of drawings
图1是本发明背景技术中的TDI技术基本机制图;Fig. 1 is the basic mechanism diagram of TDI technology in the background technology of the present invention;
图2是本发明背景技术中的X射线探测器的作用原理图;Fig. 2 is the function principle diagram of the X-ray detector in the background technology of the present invention;
图3是本发明一实施例中一种矿石在线分拣设备的立体结构示意图;FIG. 3 is a schematic three-dimensional structure diagram of an ore online sorting equipment in an embodiment of the present invention;
图4是本发明一实施例中一种矿石在线分拣设备的剖视图;4 is a cross-sectional view of an ore online sorting device in an embodiment of the present invention;
图5是本发明一实施例中一种矿石在线分拣设备的部分立体结构示意图;Fig. 5 is a partial three-dimensional schematic diagram of an ore online sorting equipment in an embodiment of the present invention;
图6是本发明一实施例中一种矿石在线分拣设备的部分立体结构示意图;6 is a partial three-dimensional schematic diagram of an ore online sorting equipment in an embodiment of the present invention;
图7是本发明一实施例中一种矿石在线分拣设备的分拣方法的步骤框图;7 is a block diagram of steps of a sorting method of an ore on-line sorting equipment in an embodiment of the present invention;
图中,1、机身机架;2、皮带式运输装置;3、射线源总成;4、下料溜槽;5、射线探测器;6、气动式执行组件;7、控制装置;8、散热空调;9、接料仓;11、托板组件;12、集尘孔;13、封尘板;21、皮带;22、皮带轴;23、电机;31、工业X射线源;32、准直防护装置;91、第一料仓;92、第二料仓;111、条孔;112、托块。In the figure, 1, the fuselage frame; 2, the belt transport device; 3, the ray source assembly; 4, the feeding chute; 5, the ray detector; 6, the pneumatic actuator; 7, the control device; 8, Cooling air conditioner; 9. Receiving bin; 11. Pallet assembly; 12. Dust collecting hole; 13. Dust sealing plate; 21. Belt; 22. Belt shaft; 23. Motor; 31. Industrial X-ray source; 32. Quasi Straight protective device; 91, first silo; 92, second silo; 111, strip hole; 112, support block.
具体实施方式Detailed ways
以下结合附图对本发明作进一步详细说明。The present invention will be further described in detail below with reference to the accompanying drawings.
在本发明的一个实施例中,参考图3至图6,提供了一种矿石在线分拣设备,包括机身机架1,机身机架1上安装有位于其右侧的下料溜槽4、位于其底部的皮带式运输装置2、位于其中间顶部的射线源总成3、位于其中间且与射线源总成3相对设置的射线探测器5、位于其左侧顶部的气动式执行组件6、位于其左侧底部的接料仓9以及位于其左侧的控制装置7,控制装置7分别与皮带式运输装置2、射线源总成3、射线探测器5和气动式执行组件6电气连接;In an embodiment of the present invention, referring to FIGS. 3 to 6 , an ore on-line sorting equipment is provided, including a fuselage frame 1 , and a
具体地,皮带式运输装置2包括两个皮带轴22、张紧设置在两个皮带轴22之间的皮带21和驱动一个皮带轴22转动的电机23,皮带21穿过射线源总成3和射线探测器5之间;下料溜槽4位于皮带21一端的上方,气动式执行组件6靠近设置在皮带21另一端;接料仓9包括第一料仓91和第二料仓92,第二料仓92位于气动式执行组件6的下方,第一料仓91临近设置在第二料仓92的左侧。射线源总成3包括工业X射线源31和位于工业X射线源31下方的准直防护装置32。准直防护装置32用于屏蔽掉工业X射线源31散射的射线,能够垂直向皮带21上射出。机身机架1上还设置有托板组件11,托板组件11设置在皮带21下面,使得皮带21的水平面保持与射线方向垂直。优选地:托板组件11包括多个托块112和条孔111,多个托块112与皮带21相抵,使得整个皮带21表面尽可能地保持在同一平面上,没有出现凹陷情况,条孔111的设置方向与皮带21转动的方向相垂直,这样工业X射线源31发出的射线穿过皮带从条孔111穿出,射线探测器5位于条孔111的下方,接收射线。矿石从下料溜槽4进入到皮带21,在电机23的带动下,皮带21将矿石从右向左输送,当矿石经过射线源总成3的下方时,工业X射线源31发射的射线经过准直防护装置32,射到皮带21上,再被射线探测器5检测到,而当遇到矿石时,就会在射线探测器5上留下盲点,根据盲点的情况进行分析,也就是矿石在射线探测器5上留下成像信息。具体地,由于皮带21需满足一定的工业生产速度需求,射线探测器5需满足:扫描频率≥2.5Hz,为更好的保留矿石的成像信息,根据矿石情况像素尺寸选择的范围在0.1-1.5mm之间;工业X射线源31需满足:最高电压为225KV,功率在4.5KW/h以下;控制装置7根据射线探测器5上的信息,进行处理后,判断出矿石是否符合要求,若符合要求,则控制气动执行组件6不工作,此时矿石在皮带21左边的出口处,惯性掉入到第一料仓91中;若不符合要求,则控制气动执行组件6进行喷气,使得矿石离开皮带21后受到来自其上方喷气的作用,则落入到第二料仓92中,这样就实现了矿石的分拣。Specifically, the belt conveyor 2 includes two
可选地:机身机架1上还设有位于皮带21的上方的封尘板13,封尘板13靠近下料溜槽4,且封尘板13上设置有集尘孔12。封尘板13能够有效将进入到皮带21上的矿石所带来的灰尘盖住在机身机架1内,同时通过风机从集尘孔12处带走灰尘,确保了良好的作业环境。Optionally: the fuselage frame 1 is further provided with a
可选地:机身机架1上还设置有与控制装置7电气连接的散热空调8,来对整个设备进行散热,确保设备的运行寿命以及工作安全。在本发明的一个实施例中,气动式执行组件6为喷气气嘴;控制装置7为PC计算机,当然也可以是嵌入式控制计算器;射线探测器5为X射线TDI探测器,当然也可以是多能谱探测器。Optionally: the fuselage rack 1 is further provided with a cooling air conditioner 8 electrically connected to the control device 7 to dissipate heat for the entire equipment and ensure the operating life and work safety of the equipment. In one embodiment of the present invention, the pneumatic actuator 6 is an air jet; the control device 7 is a PC computer, which can also be an embedded control calculator; the
本发明提供一种矿石在线分拣设备的分拣方法,包括如下步骤The present invention provides a sorting method for ore online sorting equipment, comprising the following steps
S1:根据待分拣矿石的化学成分组成以及物相分析,选择相应型号的射线探测器5、工业X射线31及使用数量;S1: According to the chemical composition and phase analysis of the ore to be sorted, select the corresponding type of
S2:对所述工业X射线源31、准直防护装置32与所述射线探测器5进行光路调试对准;S2: debug and align the optical path of the
S3:根据所述待分拣矿石的成像质量,调节所述工业X射线源31和所述射线探测器5的设定参数;S3: Adjust the setting parameters of the
S4:所述射线探测器5对所述待分拣矿石进行图像采集,并传输至控制装置7;S4: the
S5:所述控制装置7对所采集的矿石图像进行智能识别分析,并根据设定条件,对所述待分拣矿石的品位进行预估,判断所述待分拣矿石是否合格;S5: The control device 7 performs intelligent identification and analysis on the collected ore images, and estimates the grade of the ore to be sorted according to the set conditions, and judges whether the ore to be sorted is qualified;
S6:若矿石不合格,则所述控制装置7控制气动执行组件6进行喷气,以将不合格的矿石进行拣选分离。S6: If the ore is unqualified, the control device 7 controls the pneumatic actuator assembly 6 to spray air to sort and separate the unqualified ore.
在本发明的一个实施例中,选择一个工业X射线源31和一个X射线TDI探测器,射线从准直防护装置中下来,穿过皮带21被X射线TDI探测器探测器接收,遇到矿石时,由于矿石中存在金属成分,而不能穿过,X射线TDI探测器检测到盲点,成像,通过图像采集,传输给控制装置7,控制装置7对所采集的矿石图像进行智能识别分析,并根据设定条件,对待分拣矿石的品位进行预估,判断待分拣矿石是否合格;合格的与不合格的矿石分别进入到两个接料仓9,实现分离。具体地,控制装置7进行识别的过程为:针对矿废分明的易选矿石采用数学手段获取双能X射线分离曲线,进行分类识别;针对矿废不分明的难选矿石如细粒浸染型、裂隙填充细脉型等分离错误率较高,则采用深度学习CNN技术进行分类识别。In one embodiment of the present invention, an
针对难选矿石的双能X射线透射图像,利用深度学习技术主要分两个步骤。首先,将难选矿石的双能X射线透射图像进行分割与锐化;其次,人工将图像样本按照所需金属元素品位级分为矿石、废石两个样本集合,即人工贴标签;再次,利用PCA主成分分析,对矿、废两个数据样本集进行降维处理;最后,将降维处理后的矿、废样本集输入CNN卷积神经网络进行训练,即机器学习的过程;完成训练后,输出模型文件。此训练过程,即称作监督训练式模型。For the dual-energy X-ray transmission images of refractory ores, the use of deep learning technology is mainly divided into two steps. First, the dual-energy X-ray transmission images of the refractory ores are segmented and sharpened; secondly, the image samples are manually divided into two sample sets of ore and waste rock according to the required metal element grades, that is, manual labeling; thirdly, using PCA principal component analysis is used to reduce the dimension of the mine and waste data sample sets; finally, the mine and waste sample sets after dimension reduction are input into the CNN convolutional neural network for training, that is, the process of machine learning; after the training is completed , the output model file. This training process is called a supervised trained model.
使用模型进行预测应用时很简单,首先,对新采集的难选矿石双能X射线透射图像进行分割与锐化处理;其次将图像进行PCA降维处理;再次,将降维以后的数据输入已经训练好的CNN模型中;最后,CNN模型输出计算结果,计算结果为当前预测目标是矿石的概率。It is very simple to use the model for prediction application. First, segment and sharpen the newly collected dual-energy X-ray transmission images of refractory ores; secondly, perform PCA dimensionality reduction processing on the images; thirdly, input the data after dimensionality reduction has been In the trained CNN model; finally, the CNN model outputs the calculation result, and the calculation result is the probability that the current prediction target is ore.
矿废综合判别计算:双能X射线分离曲线得到是检测目标不同物质的比例,CNN模型输出的是检测目标为某一类矿石的概率;将比例P、概率F两个参数拟合得到一个统一的数学模型对应一个单独输出,即Z=aP+bF,a、b为拟合数学参数。对Z设定阈值,大于等于Z则判定为矿石,小于Z则判定为废石,工业生产可根据实际需要进行动态调节。Comprehensive discrimination calculation of mine waste: the dual-energy X-ray separation curve obtains the ratio of different substances in the detection target, and the output of the CNN model is the probability that the detection target is a certain type of ore; fitting the two parameters of ratio P and probability F to obtain a unified The mathematical model corresponding to a single output, namely Z=aP+bF, a and b are fitting mathematical parameters. A threshold is set for Z, if it is greater than or equal to Z, it is judged as ore, and if it is less than Z, it is judged as waste rock. Industrial production can be dynamically adjusted according to actual needs.
工业矿石识别分析与拣选生产,在矿石经破碎、振动筛粒度分级、水洗之后,各种不同粒度级别的原矿石进入皮带式运输装置2,工业X射线源31需安装在皮带21的上方,距离皮带21的高度300mm-1000m处,工业X射线源31的管头辐射区域中心面与皮带21平面垂直;射线探测器5需安装在皮带21中间,工业X射线源31的管头正下方,射线探测器5感光平面与皮带21平面平行。Industrial ore identification, analysis and sorting production. After the ore is crushed, vibrating screen particle size classification and washing, raw ores of various particle size levels enter the belt conveyor 2. The
由于皮带21需满足一定的工业生产速度需求,射线探测器5需满足:扫描频率≥2.5Hz,为更好的保留矿石的成像信息,根据矿石情况像素尺寸选择的范围在0.1-1.5mm之间;工业X射线源31需满足:最高电压为225KV,功率在4.5KW以下;选用喷气气嘴作为执行装置,则喷气次数的最高频率为1000Hz。Since the
本具体实施例仅仅是对本发明的解释,其并不是对本发明的限制,本领域技术人员在阅读完本说明书后可以根据需要对本实施例做出没有创造性贡献的修改,但只要在本发明的权利要求范围内都受到专利法的保护。This specific embodiment is only an explanation of the present invention, and it does not limit the present invention. Those skilled in the art can make modifications without creative contribution to the present embodiment as required after reading this specification, but as long as the rights of the present invention are used All claims are protected by patent law.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112149283A (en) * | 2020-08-28 | 2020-12-29 | 北京科技大学 | Method for evaluating batch sorting feasibility of ores |
| CN112547562A (en) * | 2020-12-14 | 2021-03-26 | 赣州有色冶金研究所 | Intelligent ore sorting machine |
| CN112756280A (en) * | 2020-12-31 | 2021-05-07 | 深圳市中瑞微视光电有限公司 | X-ray color sorter |
| CN113019955A (en) * | 2021-03-18 | 2021-06-25 | 合肥名德光电科技股份有限公司 | Intelligent ore sorting equipment and method based on dual-energy X-ray |
| CN113500014A (en) * | 2021-07-08 | 2021-10-15 | 湖州霍里思特智能科技有限公司 | Method and system for intelligently sorting based on dynamic adjustment of threshold |
| CN113522792A (en) * | 2021-07-14 | 2021-10-22 | 伯特利(山东)工业设备有限公司 | XTF detector |
| WO2022089493A1 (en) * | 2020-10-28 | 2022-05-05 | 水口山有色金属有限责任公司 | Pre-selection process for lead-zinc raw ore |
| WO2022117112A1 (en) * | 2020-12-04 | 2022-06-09 | 北京霍里思特科技有限公司 | Detecting mechanism, and ore sorting machine having same |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202642822U (en) * | 2012-05-29 | 2013-01-02 | 格兰达技术(深圳)有限公司 | Tray separating and inputting device |
| US20130079918A1 (en) * | 2011-09-01 | 2013-03-28 | Spectramet, Llc | Material sorting technology |
| CN104138854A (en) * | 2014-06-25 | 2014-11-12 | 山东大学 | Pseudo dual-energy ray imaging-based ore separation system and method |
| CN205361997U (en) * | 2015-12-08 | 2016-07-06 | 北矿机电科技有限责任公司 | Ore intelligence sorting facilities based on ray pierces through discernment |
| CN107323572A (en) * | 2017-06-28 | 2017-11-07 | 北京京东尚科信息技术有限公司 | Sorting type automatical pilot transportation vehicle |
| CN208818661U (en) * | 2018-07-06 | 2019-05-03 | 北矿机电科技有限责任公司 | Ore dual-energy x-ray transmits intelligent identifying system |
| CN110852395A (en) * | 2019-11-15 | 2020-02-28 | 鞍钢集团矿业有限公司 | An ore particle size detection method and system based on autonomous learning and deep learning |
| CN212525014U (en) * | 2020-04-27 | 2021-02-12 | 湖南军芃科技股份有限公司 | Improved ore sorting equipment based on TDI and multi-energy spectrum X-ray detection technology |
-
2020
- 2020-04-27 CN CN202010344486.6A patent/CN111359898A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130079918A1 (en) * | 2011-09-01 | 2013-03-28 | Spectramet, Llc | Material sorting technology |
| CN202642822U (en) * | 2012-05-29 | 2013-01-02 | 格兰达技术(深圳)有限公司 | Tray separating and inputting device |
| CN104138854A (en) * | 2014-06-25 | 2014-11-12 | 山东大学 | Pseudo dual-energy ray imaging-based ore separation system and method |
| CN205361997U (en) * | 2015-12-08 | 2016-07-06 | 北矿机电科技有限责任公司 | Ore intelligence sorting facilities based on ray pierces through discernment |
| CN107323572A (en) * | 2017-06-28 | 2017-11-07 | 北京京东尚科信息技术有限公司 | Sorting type automatical pilot transportation vehicle |
| CN208818661U (en) * | 2018-07-06 | 2019-05-03 | 北矿机电科技有限责任公司 | Ore dual-energy x-ray transmits intelligent identifying system |
| CN110852395A (en) * | 2019-11-15 | 2020-02-28 | 鞍钢集团矿业有限公司 | An ore particle size detection method and system based on autonomous learning and deep learning |
| CN212525014U (en) * | 2020-04-27 | 2021-02-12 | 湖南军芃科技股份有限公司 | Improved ore sorting equipment based on TDI and multi-energy spectrum X-ray detection technology |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112149283A (en) * | 2020-08-28 | 2020-12-29 | 北京科技大学 | Method for evaluating batch sorting feasibility of ores |
| WO2022089493A1 (en) * | 2020-10-28 | 2022-05-05 | 水口山有色金属有限责任公司 | Pre-selection process for lead-zinc raw ore |
| WO2022117112A1 (en) * | 2020-12-04 | 2022-06-09 | 北京霍里思特科技有限公司 | Detecting mechanism, and ore sorting machine having same |
| CN112547562A (en) * | 2020-12-14 | 2021-03-26 | 赣州有色冶金研究所 | Intelligent ore sorting machine |
| CN112756280A (en) * | 2020-12-31 | 2021-05-07 | 深圳市中瑞微视光电有限公司 | X-ray color sorter |
| CN113019955A (en) * | 2021-03-18 | 2021-06-25 | 合肥名德光电科技股份有限公司 | Intelligent ore sorting equipment and method based on dual-energy X-ray |
| CN113500014A (en) * | 2021-07-08 | 2021-10-15 | 湖州霍里思特智能科技有限公司 | Method and system for intelligently sorting based on dynamic adjustment of threshold |
| CN113522792A (en) * | 2021-07-14 | 2021-10-22 | 伯特利(山东)工业设备有限公司 | XTF detector |
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