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CN114858641A - Method and system for detecting material composition in a silo - Google Patents

Method and system for detecting material composition in a silo Download PDF

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CN114858641A
CN114858641A CN202210477682.XA CN202210477682A CN114858641A CN 114858641 A CN114858641 A CN 114858641A CN 202210477682 A CN202210477682 A CN 202210477682A CN 114858641 A CN114858641 A CN 114858641A
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silo
time
feeding
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刘阳
邱立运
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Mcc Changtian Changsha Intelligent Technology Co ltd
Zhongye Changtian International Engineering Co Ltd
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Zhongye Changtian International Engineering Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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Abstract

本发明公开了一种料仓物料成分的检测方法及系统，通过按照预设的频率或者实时获取K个料仓进行入料输送的入料皮带秤处的成分测量仪侦测到的当前时刻t时的入仓物料的成分含量集，创新的料仓虚拟分层的方法，根据预设的时间间隔构建料仓虚拟分层，并根据公式

Figure DDA0003621847180000011
计算第k个所述料仓的所述料仓虚拟分层Nx的第s种成分的含量
Figure DDA0003621847180000012
然后根据入料时间与出料时间的对应关系，获得当前出料的成分数据实现了实时掌握料仓成分，能够依据工艺生产的需求将料仓精细化分层，由此可达到控制出料物料性质的目的，并为下一步混匀步骤提供数据支持；且仅在进料皮带处使用一个成分检测仪和皮带秤。

Figure 202210477682

The invention discloses a method and a system for detecting the composition of silo materials. The current time t detected by a composition measuring instrument at a feeding belt scale for feeding and conveying K silos according to a preset frequency or in real time is obtained. The composition content set of the materials entering the warehouse at the same time, the innovative method of virtual stratification of the silo, constructs the virtual stratification of the silo according to the preset time interval, and according to the formula

Figure DDA0003621847180000011
Calculate the content of the sth component of the virtual layer Nx of the silo of the kth silo
Figure DDA0003621847180000012
Then, according to the corresponding relationship between the feeding time and the discharging time, the composition data of the current discharging material is obtained to realize the real-time grasp of the composition of the silo, and the silos can be refined and layered according to the needs of the process production, so as to achieve the control of the discharged materials. properties and provide data support for the next mixing step; and only use a composition detector and belt scale at the feed belt.

Figure 202210477682

Description

一种料仓物料成分的检测方法及系统Method and system for detecting material composition in a silo

技术领域technical field

本发明涉及智能控制技术领域，尤其涉及一种料仓物料成分的检测方法及 系统。The invention relates to the technical field of intelligent control, and in particular, to a method and system for detecting material components in a silo.

背景技术Background technique

在冶炼领域，各种矿物的混合比例、含水量、烧结过程中燃料及灰石配比 等，对最终产品的影响程度都非常高，通常需要对原料的成分比例进行严格控 制。In the field of smelting, the mixing ratio of various minerals, water content, fuel and limestone ratio in the sintering process, etc., have a very high degree of influence on the final product, and usually it is necessary to strictly control the composition ratio of raw materials.

目前都只是简单的使用最新的成分检测值进行配料计算，由于原料仓具有 一定的仓储能力，正在使用的原料批次成分未必就对应最新的成分检测值。因 此，当上述情况发生时，造成实际原料成分和配料计算使用成分出现偏差，进 而直接影响实际的原料配比。配料计算的方法基本相同，但是在如何精确定位 混匀矿仓中存储的混匀矿因为批次差异和含水量差异导致的最终成分波动的问 题一直是难以解决的问题。At present, all the ingredients are simply calculated using the latest component detection values. Since the raw material warehouse has a certain storage capacity, the ingredients of the batches of raw materials being used may not correspond to the latest component detection values. Therefore, when the above situation occurs, the actual raw material composition and the ingredients used in the calculation of the ingredients are deviated, which in turn directly affects the actual raw material ratio. The method of batching calculation is basically the same, but how to accurately locate the final composition of the mixed ore stored in the mixing silo due to batch differences and water content differences has always been a difficult problem to solve.

目前一般是在料仓的出料口采用人工方式取样、化验原料成分，每班取样 一到两次，再用于配料配比计算，该方法只能用于原料较稳定的情况；另一种 方法是在配料后的混合机出口大皮带上设置在线成分分析仪综合检测原料，但 此时只能用于分析原料成分尤其是碱度等指标是否符合配料的要求，无法判断 哪一个料仓原料成分波动需要调整，从而难以实现反馈控制。At present, the raw materials are generally sampled and tested manually at the discharge port of the silo. The samples are taken once or twice per shift, and then used for the calculation of the proportion of ingredients. This method can only be used when the raw materials are relatively stable; another The method is to set an online composition analyzer on the large belt at the outlet of the mixer after batching to comprehensively detect the raw materials, but at this time, it can only be used to analyze whether the raw material composition, especially the alkalinity and other indicators meet the requirements of the batching, and it is impossible to judge which silo raw material is used. Compositional fluctuations require adjustment, making feedback control difficult.

发明内容SUMMARY OF THE INVENTION

针对上述技术问题，本发明的主要目的在于提供一种料仓仓位的控制方法、 系统及计算机可读存储介质，以解决上述技术问题。In view of the above-mentioned technical problems, the main purpose of the present invention is to provide a method, system and computer-readable storage medium for controlling the position of a silo, so as to solve the above-mentioned technical problems.

为实现上述目的，本发明提供了一种料仓仓位的控制方法，包括步骤：In order to achieve the above purpose, the present invention provides a method for controlling a silo position, comprising the steps of:

S1，按照预设的频率或者实时获取K个料仓进行入料输送的入料皮带秤处 的成分测量仪侦测到的当前时刻t时的入仓物料的成分含量集αk(t)，以获得入 仓成分队列；其中，k为所述料仓的编号k∈[1,K]，每个所述入仓物料的成分含 量集αk(t)包括S种不同成分的含量

Figure BDA0003621847160000021
s∈[1,S]；S1, according to the preset frequency or real-time acquisition of the composition measuring instrument at the feeding belt scale for feeding and conveying the K silos, the composition content set α k (t) of the incoming material at the current time t detected, In order to obtain the silo component queue; wherein, k is the number of the silo k∈[1,K], and the component content set α k (t) of each of the siloed materials includes the content of S different components
Figure BDA0003621847160000021
s∈[1,S];

S2，根据预设的时间间隔构建料仓虚拟分层，将所述料仓内的堆积物料分 为n个料仓虚拟分层Nx，x∈[1,n]，并根据公式

Figure BDA0003621847160000022
计算第k 个所述料仓的所述料仓虚拟分层Nx的第s种成分的含量
Figure BDA0003621847160000023
所述t1与t2之 间的时间差为所述预设的时间间隔；S2, build a virtual silo layer according to a preset time interval, divide the accumulated materials in the silo into n virtual silo layers N x , x∈[1,n], and according to the formula
Figure BDA0003621847160000022
Calculate the content of the s-th component of the virtual layer N x of the silo of the k-th silo
Figure BDA0003621847160000023
The time difference between the t 1 and t 2 is the preset time interval;

S3，根据入料时间与出料时间的对应关系，获取当前出料的物料与所述料 仓虚拟分层Nx的时间关系，从而获得当前出料的成分数据。S3, according to the corresponding relationship between the feeding time and the discharging time, obtain the time relationship between the material currently discharged and the virtual layer Nx of the silo, so as to obtain the component data of the current discharging.

进一步地，还包括步骤：Further, it also includes the steps:

S12，按照预设的频率或者实时获取K个料仓进行入料输送的入料皮带秤 侦测到的当前时刻t时的入仓物料量wk(t)；S12, according to a preset frequency or real-time acquisition of the incoming material amount w k (t) at the current time t detected by the feeding belt scale for feeding and conveying the K silos;

S22，根据公式

Figure BDA0003621847160000024
计算第k个所述料仓的所述料仓虚拟 分层Nx的物料量W(Nx)。S22, according to the formula
Figure BDA0003621847160000024
Calculate the material amount W(N x ) of the virtual layer N x of the silo of the k-th silo.

进一步地，N个所述料仓在同一时刻只有一个所述料仓入料，第k个所述 料仓的入仓物料的成分含量集记录为Sk(t)αk(t)，Sk(t)＝为0表示在当前时刻t第 k个料仓入料状态关闭，Sk(t)为1时表示当前时刻第k个料仓入料状态开启。Further, only one of the N described silos is fed at the same time, and the component content set of the incoming material of the kth described silo is recorded as S k (t)α k (t), S When k (t)=0, it means that the feeding state of the kth silo at the current time t is closed, and when Sk (t) is 1, it means that the feeding state of the kth silo at the current time is open.

进一步地，根据所述入料皮带秤测量得到的离散数据，根据公式

Figure BDA0003621847160000025
计算第k个所述料仓的所述料仓虚拟分层Nx的第s 种成分的含量
Figure BDA0003621847160000026
含量
Figure BDA0003621847160000027
Further, according to the discrete data measured by the feeding belt scale, according to the formula
Figure BDA0003621847160000025
Calculate the content of the sth component of the virtual layer Nx of the silo of the kth silo
Figure BDA0003621847160000026
content
Figure BDA0003621847160000027

进一步地，根据公式

Figure BDA0003621847160000031
计算第k个所述料仓的所述料仓 虚拟分层Nx的物料量W(Nx)。Further, according to the formula
Figure BDA0003621847160000031
Calculate the material amount W(N x ) of the virtual layer N x of the silo of the k-th silo.

进一步地，所述S中不同成分包括水、以及有效物料组份。Further, the different components in the S include water and effective material components.

进一步地，所述预设的时间间隔不小于所述采样周期f。Further, the preset time interval is not less than the sampling period f.

进一步地，所述料仓混料时具有M个混匀矿仓，第k个混匀矿仓的有效下 料时间为tk1到tk2，则该矿仓一共下料了

Figure BDA0003621847160000032
层混匀矿第k个料仓tq1到tq2内 的下料质量为：Further, when the silo mixes materials, there are M mixed ore bins, and the effective unloading time of the k-th mixed ore silo is t k1 to t k2 , then the ore silo has a total of unloaded materials.
Figure BDA0003621847160000032
The quality of the unloading material in the kth silo t q1 to t q2 of the layer-mixed ore is:

Figure BDA0003621847160000033
Figure BDA0003621847160000033

第k个料仓tk1到tk2内的下料中成分的含量为：The content of the ingredients in the blanking material in the kth silo t k1 to t k2 is:

Figure BDA0003621847160000034
Figure BDA0003621847160000034

该批混匀矿在强混环节的总质量为：The total mass of this batch of mixed ore in the intensive mixing process is:

Figure BDA0003621847160000035
其中，j为混匀矿仓的编号，
Figure BDA0003621847160000035
Among them, j is the number of the mixing bin,

该批混匀矿中物质s的含量为：The content of substance s in this batch of mixed ore is:

Figure BDA0003621847160000036
Figure BDA0003621847160000036

其中，W′为强混环节添加的其他物质的质量。Among them, W' is the mass of other substances added in the strong mixing step.

本发明还提供一种料仓物料成分的检测系统，包括按照预设的频率或者实 时获取N个料仓的当前时刻t时的入料瞬时物料量wk(t)的入料皮带秤、按照预 设的频率或者实时获取K个料仓进行入料输送的入料皮带秤处的当前时刻t时 的入仓物料的成分含量集αk(t)成分测量仪、存储器、处理器、存储在所述存储 器中并可在所述处理器上运行的计算机程序，其特征在于，所述处理器执行所 述计算机程序时实现如上任一项所述的料仓物料成分的检测方法的步骤。The present invention also provides a detection system for material composition of silos, including a feeding belt scale that obtains the instantaneous material quantity w k (t) of feeding at the current time t of N silos according to a preset frequency or in real time, The preset frequency or real-time acquisition of the composition content set α k (t) of the incoming material at the current time t at the feeding belt scale for feeding and conveying the K silos The computer program in the memory that can be run on the processor is characterized in that, when the processor executes the computer program, the steps of the method for detecting material components in a silo as described in any one of the above are implemented.

本发明中的料仓仓位的控制方法及系统，通过S1，按照预设的频率或者实 时获取K个料仓进行入料输送的入料皮带秤处的成分测量仪侦测到的当前时刻 t时的入仓物料的成分含量集αk(t)，以获得入仓成分队列；其中，k为所述料仓 的编号k∈[1,K]，每个所述入仓物料的成分含量集αk(t)包括S中不同成分的含 量

Figure BDA0003621847160000041
s∈[1,S]；S2，根据预设的时间间隔构建料仓虚拟分层，将所述料仓内 的堆积物料分为n个料仓虚拟分层Nx，x∈[1,n]，并根据公式
Figure BDA0003621847160000042
计算第k个所述料仓的所述料仓虚拟分层Nx的第s种成分的含量
Figure BDA0003621847160000043
所述t1与t2之间的时间差为所述预设的时间间隔；S3，根据 入料时间与出料时间的对应关系，获取当前出料的物料与所述料仓虚拟分层Nx 的时间关系，从而获得当前出料的成分数据。通过创新的料仓虚拟分层的方法， 实现了实时掌握料仓成分，能够依据工艺生产的需求将料仓精细化分层，由此 可达到控制出料物料性质的目的，并为下一步混匀步骤提供数据支持；且仅在 进料皮带处使用一个成分检测仪和皮带秤。In the method and system for controlling the silo positions of the present invention, through S1, according to the preset frequency or real-time acquisition of the current time t detected by the composition measuring instrument at the feeding belt scale for feeding and conveying the K silos The component content set α k (t) of the siloed materials to obtain the warehousing component queue; where k is the number of the silo k∈[1,K], and the component content set of each siloed material α k (t) includes the content of different components in S
Figure BDA0003621847160000041
s∈[1,S]; S2, according to the preset time interval, construct a virtual layer of the silo, and divide the accumulated materials in the silo into n virtual layers of silo N x , x∈[1,n ], and according to the formula
Figure BDA0003621847160000042
Calculate the content of the sth component of the virtual layer Nx of the silo of the kth silo
Figure BDA0003621847160000043
The time difference between the t1 and t2 is the preset time interval; S3, according to the corresponding relationship between the feeding time and the discharging time, obtain the difference between the material currently discharged and the virtual layer Nx of the silo. Time relationship, so as to obtain the composition data of the current output. Through the innovative silo virtual stratification method, the real-time control of the silo composition is realized, and the silo can be refined and stratified according to the needs of the process production, so as to achieve the purpose of controlling the properties of the discharged materials, and provide the basis for the next mixing process. Uniform steps provide data support; and use only one composition detector and belt scale at the infeed belt.

附图说明Description of drawings

为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施 例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述 中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付 出创造性劳动的前提下，还可以根据这些附图示出的结构获得其他的附图。In order to illustrate the embodiments of the present invention or the technical solutions in the prior art more clearly, the following briefly introduces the accompanying drawings that are used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to the structures shown in these drawings without creative efforts.

图1为本发明一个实施例中的料仓仓位控制系统的示意图；1 is a schematic diagram of a silo position control system in an embodiment of the present invention;

图2为本发明一个实施例中的料仓仓位控制方法的流程图；FIG. 2 is a flowchart of a method for controlling a silo position in an embodiment of the present invention;

图3为本发明一个实施例中的料仓的物料量队列示意图；3 is a schematic diagram of a material quantity queue of a silo in an embodiment of the present invention;

图4为本发明一个实施例中的料仓虚拟分层示意图。FIG. 4 is a schematic diagram of virtual layering of silos in an embodiment of the present invention.

具体实施方式Detailed ways

下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清 楚、完整地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部 的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳 动前提下所获得的所有其他实施例，都属于本发明保护的范围。The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

下面首先结合相关附图来举例介绍下本申请实施例的方案会应用到的料仓 仓位系统。First, the silo storage system to which the solutions of the embodiments of the present application will be applied will be described by way of example in conjunction with the relevant drawings.

如图1所示，为本发明一个实施例中料仓仓位控制方法的料仓仓位控制系 统，其中1为成分分析仪，2为入料皮带，3为入料皮带秤，4为卸料装置，5 为出料皮带，6为出料皮带秤。实际生产过程中，卸料小车可以沿着滑轨左右 移动至需要加料的料仓位置，卸料小车两端都可以下料，但同一时间只能对一 个料仓下料。As shown in Figure 1, it is a silo position control system of a silo position control method in an embodiment of the present invention, wherein 1 is a component analyzer, 2 is a feeding belt, 3 is a feeding belt scale, and 4 is a discharge device , 5 is the discharge belt, 6 is the discharge belt scale. In the actual production process, the unloading trolley can move left and right along the slide rail to the position of the silo that needs to be fed. Both ends of the unloading trolley can unload material, but only one silo can be unloaded at the same time.

图1的具体实例中一共示出的例子为8个料仓，物料经入料皮带2送入时， 入料皮带秤3会记录物料的瞬时料量。卸料装置4根据入料模式不同可以是犁 式卸料斗或卸料小车，决定物料进入哪个料仓1中，同一时刻只有一个料仓1 入料。当某个料仓1需要出料时，物料由料仓1下料到出料皮带秤6，出料皮 带秤6会记录该料仓的瞬时出料量。A total of 8 silos are shown in the specific example of FIG. 1 . When the material is fed through the feeding belt 2 , the feeding belt scale 3 will record the instantaneous amount of the material. The unloading device 4 can be a plough-type unloading hopper or a unloading trolley according to different feeding modes, which determines which silo 1 the material enters, and only one silo 1 is fed at the same time. When a certain silo 1 needs to be discharged, the material is unloaded from the silo 1 to the discharge belt scale 6, and the discharge belt scale 6 will record the instantaneous discharge amount of the silo.

如图2所示，本发明的第一实施例中提供的料仓物料成分的检测方法，包 括步骤：As shown in Figure 2, the detection method of the silo material composition provided in the first embodiment of the present invention comprises the steps:

S1，按照预设的频率或者实时获取K个料仓进行入料输送的入料皮带秤处 的成分测量仪侦测到的当前时刻t时的入仓物料的成分含量集αk(t)，以获得入 仓成分队列；其中，k为所述料仓的编号k∈[1,K]，每个所述入仓物料的成分含 量集αk(t)包括S种不同成分的含量

Figure BDA0003621847160000051
s∈[1,S]。S1, according to the preset frequency or real-time acquisition of the composition measuring instrument at the feeding belt scale for feeding and conveying the K silos, the composition content set α k (t) of the incoming material at the current time t detected, In order to obtain the silo component queue; wherein, k is the number of the silo k∈[1,K], and the component content set α k (t) of each of the siloed materials includes the content of S different components
Figure BDA0003621847160000051
s∈[1,S].

例如，在钢铁冶炼行业，成分含量集αk(t)可以包括

Figure BDA0003621847160000061
For example, in the steel smelting industry, the component content set α k (t) may include
Figure BDA0003621847160000061

，分别表示全铁成分含量、水分率、二氧化硅含量、氧化钙含量、氧化镁含量、 三氧化二铝含量、硫的含量。具体来说，成分含量集αk(t)中的成分组成可以根 据现场工艺需求自行决定。, respectively represent the total iron content, moisture content, silica content, calcium oxide content, magnesium oxide content, aluminum trioxide content, and sulfur content. Specifically, the component composition in the component content set α k (t) can be determined by itself according to the on-site process requirements.

S2，根据预设的时间间隔构建料仓虚拟分层，将所述料仓内的堆积物料分 为n个料仓虚拟分层Nx，x∈[1,n]，并根据公式

Figure BDA0003621847160000062
计算第k 个所述料仓的所述料仓虚拟分层Nx的第s种成分的含量
Figure BDA0003621847160000063
所述t1与t2之 间的时间差为所述预设的时间间隔。S2, build a virtual silo layer according to a preset time interval, divide the accumulated materials in the silo into n virtual silo layers N x , x∈[1,n], and according to the formula
Figure BDA0003621847160000062
Calculate the content of the s-th component of the virtual layer N x of the silo of the k-th silo
Figure BDA0003621847160000063
The time difference between t 1 and t 2 is the preset time interval.

S3，根据入料时间与出料时间的对应关系，获取当前出料的物料与所述料 仓虚拟分层Nx的时间关系，从而获得当前出料的成分数据。S3, according to the corresponding relationship between the feeding time and the discharging time, obtain the time relationship between the material currently discharged and the virtual layer Nx of the silo, so as to obtain the component data of the current discharging.

具体的，请一并结合图3和图4，在时间轴上节点t1和t2内设置时间窗，时 间窗大小由实际生产需求决定，其最小值不小于成分分析仪的采样周期。时间 窗在入仓料量队列上首尾相接的沿时间轴滑动，所取的一段时间t1到t2内的入仓 料量的累计值和入仓物料主要成分向量的均值作为一个分块Nx，由此可构成料 仓虚拟分层Nx，其中料仓每个虚拟分层Nx在时间上对应时间窗所获取的入仓 物料数据，并且满足FIFO先进先出原则。对于每个料仓，只考虑其有效时间 内的入料情况，数据队列则是有效时间内的入料队列依据时间顺序串接而成。Specifically, please refer to Figure 3 and Figure 4 together to set a time window within nodes t 1 and t 2 on the time axis. The size of the time window is determined by the actual production demand, and its minimum value is not less than the sampling period of the component analyzer. The time window slides along the time axis end-to-end on the warehousing quantity queue, and the accumulated value of the warehousing quantity and the mean value of the main component vector of the warehousing material within a period of time t 1 to t 2 are taken as a block N x , which can constitute a virtual silo N x , wherein each virtual silo N x corresponds to the incoming material data obtained by the time window in time, and satisfies the FIFO first-in-first-out principle. For each silo, only the feeding situation within its valid time is considered, and the data queue is formed by concatenating the feeding queues within the valid time in chronological order.

因此，进一步地，每个虚拟分层Nx的物料量表示为在t1和t2时间内，第k 个料仓入料量，即，

Figure BDA0003621847160000064
Therefore, further, the material quantity of each virtual layer Nx is expressed as the feeding quantity of the kth silo in the time t1 and t2 , that is,
Figure BDA0003621847160000064

具体来说，测量每个虚拟分层Nx的所述物料量的步骤包括：Specifically, the step of measuring the material amount of each virtual layer Nx includes:

S12，按照预设的频率或者实时获取K个料仓进行入料输送的入料皮带秤 侦测到的当前时刻t时的入仓物料量wk(t)；S12, according to a preset frequency or real-time acquisition of the incoming material amount w k (t) at the current time t detected by the feeding belt scale for feeding and conveying the K silos;

S22，根据公式

Figure BDA0003621847160000071
计算第k 个所述料仓的所述料仓虚拟分层Nx的物料量W(Nx)。S22, according to the formula
Figure BDA0003621847160000071
Calculate the material quantity W(N x ) of the virtual layer N x of the silo of the k-th silo.

可以理解的是，N个所述料仓在同一时刻只有一个所述料仓入料，第k个 所述料仓的入仓物料的成分含量集记录为Sk(t)αk(t)，Sk(t)＝为0表示在当前时刻 t第k个料仓入料状态关闭，Sk(t)为1时表示当前时刻第k个料仓入料状态开启。 可以理解的是，由于同一时刻只有一个料仓入料，依据卸料装置4的操作时间、 入料皮带秤3会记录物料的瞬时料量的时间，以及物料从入料皮带秤3运动到 对应料仓的时间，可以计算出每个时刻t的入料瞬时物料量。另外，需要说明 的是当前料仓在入料时，其他料仓的入料瞬时物料量为0。It can be understood that only one of the N silos is fed at the same time, and the component content set of the incoming material of the kth silo is recorded as S k (t)α k (t) , Sk (t)=0 means that the feeding state of the kth silo at the current time t is closed, and when Sk (t) is 1, it means that the feeding state of the kth silo at the current time is open. It can be understood that since there is only one silo feeding material at the same time, according to the operation time of the unloading device 4, the time when the feeding belt scale 3 records the instantaneous amount of the material, and the movement of the material from the feeding belt scale 3 to the corresponding The time of the silo can be calculated to calculate the instantaneous amount of material fed at each time t. In addition, it should be noted that when the current silo is feeding, the instantaneous material amount of other silo feeding is 0.

其中，入料皮带秤所得数据为离散数据时，在实际应用中需要采用密集采 样的方式来代替积分过程，第k个料仓入料量积分可以转换为密集采样求和。 此时节点t1和t2应为有效下料时间(即Sk(t)为1时的时间)，且应对每个料仓构 建一个独立的物料质量队列，每个料仓的一段有效下料时间即产生一段物料质 量队列，最终每个料仓的队列应该是该料仓各有效下料时间物料质量队列片段 依据时间顺序串联。f1为所述入料皮带秤的采样频率。Among them, when the data obtained by the feeding belt scale is discrete data, in practical applications, it is necessary to use dense sampling to replace the integration process. At this time, the nodes t 1 and t 2 should be the effective unloading time (that is, the time when S k (t) is 1), and an independent material quality queue should be constructed for each silo. The material quality queue is generated by the material time, and finally the queue of each silo should be the material quality queue segments of the effective unloading time of the silo, which are connected in series according to the time sequence. f 1 is the sampling frequency of the feeding belt scale.

其中，第k个所述料仓的所述料仓虚拟分层Nx的第s种成分的含量

Figure BDA0003621847160000072
Wherein, the content of the sth component of the virtual layer Nx of the silo of the kth silo
Figure BDA0003621847160000072

具体来说，根据所述入料皮带秤测量得到的离散数据，f1为所述入料皮带 秤的采样频率，在时间轴上节点t1和t2内设置的时间窗内，成分检测仪所得数据 为离散数据，此时t1和t2应为有效下料时间(即Sk(t)为1时的时间)，且应对每 个料仓构建一个独立的物料质量队列，每个料仓的一段有效下料时间即产生一 段物料质量队列，最终每个料仓的队列应该是该料仓各有效下料时间物料质量 队列片段依据时间顺序串联。Specifically, according to the discrete data measured by the feeding belt scale, f 1 is the sampling frequency of the feeding belt scale, and within the time window set in the nodes t 1 and t 2 on the time axis, the composition detector The obtained data is discrete data. At this time, t 1 and t 2 should be the effective unloading time (that is, the time when Sk (t) is 1), and an independent material quality queue should be constructed for each silo. A period of effective unloading time of the silo will generate a period of material quality queue, and finally the queue of each silo should be the material quality queue segments of each effective unloading time of the silo connected in series according to the time sequence.

进一步地，所述S中不同成分包括水、以及有效物料组份。Further, the different components in the S include water and effective material components.

进一步地，所述预设的时间间隔不小于所述采样周期f。Further, the preset time interval is not less than the sampling period f.

优选的，在以一具体的实施方式中，为了使得混匀矿在后续强混环节中能 调整主要物质比例，需要知道从混匀矿仓中出来的矿的主要成分比例，每一批 混匀矿出仓可能涉及多个矿仓同时进入强混，设该批混合料一共用到了M个混 匀矿仓，设第q个混匀矿仓的有效下料时间为tq1到tq2，则该矿仓一共下料了

Figure BDA0003621847160000081
层混匀矿，t1和t2为该矿仓入料时每一层的有效时间，结合公式：Preferably, in a specific embodiment, in order to adjust the proportion of the main material of the mixed ore in the subsequent intensive mixing process, it is necessary to know the proportion of the main components of the ore from the mixed ore bin. The ore discharge bin may involve multiple ore bins entering intensive mixing at the same time. Suppose that the batch of mixed materials is shared by M mixing ore bins, and the effective unloading time of the qth mixing ore bin is t q1 to t q2 , then The mine has been unloaded in total
Figure BDA0003621847160000081
Layer mixed ore, t 1 and t 2 are the effective time of each layer when the ore bin is fed, combined with the formula:

Figure BDA0003621847160000082
Figure BDA0003621847160000082

Figure BDA0003621847160000083
Figure BDA0003621847160000083

则第k个料仓tq1到tq2内的下料质量为：Then the blanking quality of the kth silo t q1 to t q2 is:

Figure BDA0003621847160000084
Figure BDA0003621847160000084

第k个料仓tk1到tk2内的下料中成分s的含量为：The content of component s in the blanking material in the kth silo t k1 to t k2 is:

Figure BDA0003621847160000085
Figure BDA0003621847160000085

综合考虑该批物料用到的M个混匀矿仓，则该批混匀矿在强混环节的总质 量为：Considering the M mixing bins used for this batch of materials, the total mass of this batch of mixed ore in the intensive mixing process is:

Figure BDA0003621847160000091
其中，j为混匀矿藏的编号，
Figure BDA0003621847160000091
Among them, j is the serial number of the mixed mineral deposit,

该批混匀矿中物质s的含量为：The content of substance s in this batch of mixed ore is:

Figure BDA0003621847160000092
Figure BDA0003621847160000092

其中，W′为强混环节添加的其他物质的质量。Among them, W' is the mass of other substances added in the strong mixing step.

此时可以实时掌握从混匀矿仓中出料进入强混环节的每一批混匀矿的质量 及主要成分含量。At this time, the quality and main component content of each batch of mixed ore discharged from the mixing silo into the intensive mixing link can be grasped in real time.

本申请通过创新的料仓虚拟分层的方法，实现了实时掌握料仓成分，能够 依据工艺生产的需求将料仓精细化分层，由此可达到控制出料物料性质的目的， 并为下一步混匀步骤提供数据支持；且仅在进料皮带处使用一个成分检测仪和 皮带秤。The present application realizes the real-time grasp of the composition of the silo through the innovative method of virtual stratification of the silo, and can finely stratify the silo according to the requirements of the process production, so as to achieve the purpose of controlling the properties of the discharged materials, and for the following purposes: A single mixing step provides data support; and only one ingredient detector and belt scale are used at the infeed belt.

本发明还提供一种料仓物料成分的检测系统，包括按照预设的频率或者实 时获取N个料仓的当前时刻t时的入料瞬时物料量wk(t)的入料皮带秤、按照预 设的频率或者实时获取K个料仓进行入料输送的入料皮带秤处的当前时刻t时 的入仓物料的成分含量集αk(t)成分测量仪、存储器、处理器、存储在所述存储 器中并可在所述处理器上运行的计算机程序，其特征在于，所述处理器执行所 述计算机程序时实现如上任一项所述的料仓物料成分的检测方法的步骤。The present invention also provides a detection system for material composition of silos, including a feeding belt scale that obtains the instantaneous material quantity w k (t) of feeding at the current time t of N silos according to a preset frequency or in real time, The preset frequency or real-time acquisition of the composition content set α k (t) of the incoming material at the current time t at the feeding belt scale for feeding and conveying the K silos The computer program in the memory that can be run on the processor is characterized in that, when the processor executes the computer program, the steps of the method for detecting material components in a silo as described in any one of the above are implemented.

以上仅为本发明的优选实施例，并非因此限制本发明的专利范围，凡是利 用本发明说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运 用在其他相关的技术领域，均同理包括在本发明的专利保护范围内。The above are only preferred embodiments of the present invention, and are not intended to limit the scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the description and drawings of the present invention, or directly or indirectly applied in other related technical fields , are similarly included in the scope of patent protection of the present invention.

Claims (9)

1.一种料仓物料成分的检测方法，包括步骤：1. A detection method for material composition of a silo, comprising the steps: S1，按照预设的频率或者实时获取K个料仓进行入料输送的入料皮带秤处的成分测量仪侦测到的当前时刻t时的入仓物料的成分含量集αk(t)，以获得入仓成分队列；其中，k为所述料仓的编号k∈[1,K]，每个所述入仓物料的成分含量集αk(t)包括S种不同成分的含量
Figure FDA0003621847150000011
S1, according to the preset frequency or real-time acquisition of the composition measuring instrument at the feeding belt scale for feeding and conveying the K silos, the composition content set α k (t) of the incoming material at the current time t detected, In order to obtain the silo component queue; wherein, k is the number of the silo k∈[1,K], and the component content set α k (t) of each of the siloed materials includes the content of S different components
Figure FDA0003621847150000011
 S2，根据预设的时间间隔构建料仓虚拟分层，将所述料仓内的堆积物料分为n个料仓虚拟分层Nx，x∈[1,n]，并根据公式
Figure FDA0003621847150000012
计算第k个所述料仓的所述料仓虚拟分层Nx的第s种成分的含量
Figure FDA0003621847150000013
所述t1与t2之间的时间差为所述预设的时间间隔；S2, build a virtual silo layer according to a preset time interval, divide the accumulated materials in the silo into n virtual silo layers N x , x∈[1,n], and according to the formula
Figure FDA0003621847150000012
Calculate the content of the sth component of the virtual layer Nx of the silo of the kth silo
Figure FDA0003621847150000013
The time difference between the t 1 and t 2 is the preset time interval; S3，根据入料时间与出料时间的对应关系，获取当前出料的物料与所述料仓虚拟分层Nx的时间关系，从而获得当前出料的成分数据。S3, according to the corresponding relationship between the feeding time and the discharging time, obtain the time relationship between the material currently discharged and the virtual layer Nx of the silo, so as to obtain the component data of the current discharging. 2.根据权利要求1所述的料仓物料成分的检测方法，其特征在于，还包括步骤：2. the detection method of silo material composition according to claim 1, is characterized in that, also comprises the step: S12，按照预设的频率或者实时获取K个料仓进行入料输送的入料皮带秤侦测到的当前时刻t时的入仓物料量wk(t)；S12, according to a preset frequency or real-time acquisition of the incoming material amount w k (t) at the current time t detected by the feeding belt scale for feeding and conveying the K silos; S22，根据公式
Figure FDA0003621847150000014
计算第k个所述料仓的所述料仓虚拟分层Nx的物料量W(Nx)。S22, according to the formula
Figure FDA0003621847150000014
Calculate the material amount W(N x ) of the virtual layer N x of the silo of the k-th silo. 3.根据权利要求1或2所述的料仓物料成分的检测方法，其特征在于，N个所述料仓在同一时刻只有一个所述料仓入料，第k个所述料仓的入仓物料的成分含量集记录为Sk(t)αk(t)，Sk(t)＝为0表示在当前时刻t第k个料仓入料状态关闭，Sk(t)为1时表示当前时刻第k个料仓入料状态开启。3. The method for detecting material composition of a silo according to claim 1 or 2, wherein the N described silos have only one described silo to feed at the same time, and the k-th described silo is fed. The component content set of the silo material is recorded as S k (t)α k (t), S k (t)=0 means that the feeding state of the k-th silo at the current time t is closed, and when S k (t) is 1 Indicates that the feeding state of the kth silo at the current moment is open. 4.根据权利要求2所述料仓物料成分的检测方法，其特征在于，根据所述入料皮带秤测量得到的离散数据，根据公式
Figure FDA0003621847150000021
计算第k个所述料仓的所述料仓虚拟分层Nx的第s种成分的含量
Figure FDA0003621847150000022
含量
Figure FDA0003621847150000023
4. The method for detecting material composition of a silo according to claim 2, characterized in that, according to the discrete data measured by the feeding belt scale, according to the formula
Figure FDA0003621847150000021
Calculate the content of the sth component of the virtual layer Nx of the silo of the kth silo
Figure FDA0003621847150000022
content
Figure FDA0003621847150000023
 5.根据权利要求2所述料仓物料成分的检测方法，其特征在于，根据公式
Figure FDA0003621847150000024
计算第k个所述料仓的所述料仓虚拟分层Nx的物料量W(Nx)。5. the detection method of silo material composition according to claim 2, is characterized in that, according to formula
Figure FDA0003621847150000024
Calculate the material amount W(N x ) of the virtual layer N x of the silo of the k-th silo. 6.根据权利要求1或2所述的料仓物料成分的检测方法，其特征在于，所述S中不同成分包括水、以及有效物料组份。6. The method for detecting material components in a silo according to claim 1 or 2, wherein the different components in the S include water and effective material components. 7.根据权利要求3或4所述的料仓物料成分的检测方法，其特征在于，所述预设的时间间隔不小于所述采样周期f。7. The method for detecting material components in a silo according to claim 3 or 4, wherein the preset time interval is not less than the sampling period f. 8.根据权利要求4所述的料仓物料成分的检测方法，其特征在于，所述料仓混料时具有M个混匀矿仓，第k个混匀矿仓的有效下料时间为tk1到tk2，则该矿仓一共下料了
Figure FDA0003621847150000025
层混匀矿第k个料仓tq1到tq2内的下料质量为：8. the detection method of silo material composition according to claim 4, is characterized in that, when described silo mixes material, has M mixing ore bins, and the effective unloading time of kth mixing ore silo is t k1 to t k2 , then the silo has been unloaded in total
Figure FDA0003621847150000025
The quality of the unloading material in the kth silo t q1 to t q2 of the layer-mixed ore is:
Figure FDA0003621847150000026
其中，f1为所述入料皮带秤的采样频率
Figure FDA0003621847150000026
Wherein, f 1 is the sampling frequency of the feeding belt scale 第k个料仓tk1到tk2内的下料中成分的含量为：The content of the ingredients in the blanking material in the kth silo t k1 to t k2 is:
Figure FDA0003621847150000027
Figure FDA0003621847150000027
 该批混匀矿在强混环节的总质量为：The total mass of this batch of mixed ore in the intensive mixing process is:
Figure FDA0003621847150000031
其中，j为混匀矿仓的编号，
Figure FDA0003621847150000031
Among them, j is the number of the mixing bin, 该批混匀矿中物质s的含量为：The content of substance s in this batch of mixed ore is:
Figure FDA0003621847150000032
Figure FDA0003621847150000032
 其中，W′为强混环节添加的其他物质的质量。Among them, W' is the mass of other substances added in the strong mixing step. 9.一种料仓物料成分的检测系统，其特征在于，包括按照预设的频率或者实时获取N个料仓的当前时刻t时的入料瞬时物料量wk(t)的入料皮带秤、按照预设的频率或者实时获取K个料仓进行入料输送的入料皮带秤处的当前时刻t时的入仓物料的成分含量集ωk(t)成分测量仪、存储器、处理器、存储在所述存储器中并可在所述处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现如权利要求1至8任一项所述的料仓物料成分的检测方法的步骤。9. A detection system for material composition of a silo, characterized in that it comprises a feeding belt scale that obtains the instantaneous material quantity w k (t) of feeding at the current moment t of N silos according to a preset frequency or in real time. , According to the preset frequency or real-time acquisition of K silos for feeding and conveying, the composition content set of the incoming material at the current time t at the feeding belt scale for feeding and conveying ω k (t) composition measuring instrument, memory, processor, A computer program stored in the memory and executable on the processor, characterized in that the processor implements the silo material composition according to any one of claims 1 to 8 when the processor executes the computer program steps of the detection method.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101915789A (en) * 2010-08-19 2010-12-15 河南工业大学 An electromagnetic wave detection method of moisture content in grain piles
CN102109369A (en) * 2009-12-29 2011-06-29 中冶长天国际工程有限责任公司 Method and device for detecting material stock of sintering proportioning bin
CA2971339A1 (en) * 2016-06-20 2017-12-20 Solaris Oilfield Site Services Operating Llc A delivery, storage and blending system for multi-component granular compositions
CN108490024A (en) * 2018-03-28 2018-09-04 大连理工大学 A method of the heterogeneous content of limited thickness material is measured based on fictitious heat source principle
WO2020258752A1 (en) * 2019-06-28 2020-12-30 三一汽车制造有限公司 Moisture content detection system for material, moisture content detection method for material, and mixing station

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102109369A (en) * 2009-12-29 2011-06-29 中冶长天国际工程有限责任公司 Method and device for detecting material stock of sintering proportioning bin
CN101915789A (en) * 2010-08-19 2010-12-15 河南工业大学 An electromagnetic wave detection method of moisture content in grain piles
CA2971339A1 (en) * 2016-06-20 2017-12-20 Solaris Oilfield Site Services Operating Llc A delivery, storage and blending system for multi-component granular compositions
CN108490024A (en) * 2018-03-28 2018-09-04 大连理工大学 A method of the heterogeneous content of limited thickness material is measured based on fictitious heat source principle
WO2020258752A1 (en) * 2019-06-28 2020-12-30 三一汽车制造有限公司 Moisture content detection system for material, moisture content detection method for material, and mixing station

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
刘明: "循环流化床锅炉运行特性分析", 科技情报开发与经济, vol. 13, no. 02, 31 December 2003 (2003-12-31), pages 129 - 130 *
李宗平 等: "混合料槽中混合料密度的软测量技术", 烧结球团, vol. 34, no. 04, 31 August 2009 (2009-08-31), pages 12 - 16 *

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