JPH06194307A - Quality monitoring method for raw material ore - Google Patents

Abstract

PURPOSE:To allow quick monitoring of quality through a simple facility by imaging the outer view of raw material ore with an imaging means, detecting the image electrically and subjecting the electric image to image processing, and estimating the quality of the raw material ore through operation. CONSTITUTION:Outer view of a raw material ore is imaged by three primary color lenses in a video camera 2 installed above a belt conveyor 1 and delivered, in the form of electric signals, to a central processing unit 3. An image memory section in the unit 3 converts the three primary color signals into a multi-level signal corresponding to the luminance thereof, subject the multi-level signals to image processing for allowing quantitative extraction of feature amount such as the shape and the size of the raw material ore, the color and the volume of powdery material, etc.; and then stores them. An operating section in the unit 3 compares the chemical component values and physical characteristic values, e.g. contents of specified chemical components and water, with past data basing on the quantitatively extracted feature amounts thus estimating the quality which is delivered, in the form of electric signal, to a monitoring section 6. This method allows constant monitoring of quality.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a raw material ore quality monitoring method in a cement manufacturing process or the like. The raw ore raw material ore is imaged with a video camera, and the image is processed to extract characteristic values to obtain the raw material ore. The present invention relates to a method for estimating and calculating the chemical component value or physical property value of and monitoring the quality of raw ore.

[0002]

2. Description of the Related Art Conventionally, in the cement manufacturing industry, there is a raw material blending step as a pre-step of a firing step for producing a cement clinker (calculated lump) of a desired quality, in which a raw material has a predetermined chemical component value. As described above, and pulverized so as to be easily fired to produce a powdered raw material.

At this time, the chemical component value of the compounding raw material or the powder compounding raw material is obtained by analysis by a dry or wet analysis method (fluorescent X-ray analysis method), and based on this analysis value, the compounding ratio of the material is again determined. It was changed and the blending operation was performed so that the target chemical composition value was obtained.

The water content, which is a physical property value of the powdered raw material, is measured by a non-contact moisture meter or a heating measurement method, and the fineness is measured by an analyzer, and the operating conditions of the crusher and the classifier are based on the measured values. By changing the value, the crushing / classifying operation was performed so that the desired physical property value was obtained.

[0005]

As described above, the raw materials used in the mixing process of cement raw materials are mainly natural minerals, and the quality of the raw materials varies widely. Since it fluctuates, the quality of the raw material is analyzed quickly and accurately, the target chemical component value or the physical property value of the powder raw material is calculated based on the analysis information, and the operating conditions of the crusher and classifier are based on it. It is necessary to change the setting.

However, in the analysis method of the state of the art, it is necessary to adjust the sample for the analysis, and it takes a lot of time for the analysis. Therefore, it takes a long time to change the setting of the operating condition based on the analysis value. There were problems such as delays. ・ Continuous analysis and monitoring of rough stones with existing technology analyzers made equipment large and complicated.

The present invention provides a method for monitoring the quality of a raw material ore, which solves the above problems and makes it possible to produce a powdered raw material of stable quality in the blending process.

[0008]

The constitution of the present invention is as follows. (A) Binarization by detecting the appearance state of the raw ore as a monochrome image with a video camera and utilizing the brightness difference of the target raw ore and other ores and powders from the external image of the raw ore Then, the target raw material ore in the image is extracted.

As another method for extracting the raw material ore, the raw material ore is detected as a color image, and the color corresponding to the target raw material ore is extracted from the difference between the color of the target raw material ore and the color of other ores and powdery substances. As a result, the target raw material ore can be extracted.

(B) Then, the extracted image is image-calculated to extract the characteristic amounts such as the area, volume, circularity, and color of the raw ore in the image.

(C) The quality of the raw material ore is monitored by comparing and evaluating the characteristic amount and past quality information to perform a quality estimation calculation. As another method of quality estimation, it is possible to estimate the quality by digitizing the color of the image detected as a color image using the Lab color system and examining the distribution thereof.

[0012]

Since the present invention is constructed as described above,
The appearance state of the raw ore is captured with a video camera every moment, and the brightness of each pixel of the obtained image is processed according to a predetermined gradation to quickly estimate and output the chemical component value or physical property value. To monitor the quality of the raw ore.

Each raw ore is characterized by its shape, size, and color. For example, in limestone, the color is white in the dry state and mixed with other powdery substances in the state containing water such as rain. Becomes a brownish color. In terms of shape, limestone is more rounded and more round than other ores such as Fornfels. Even with these few features,
According to the method using images, it is possible to extract a specific raw material ore.

In the quality estimation time, from a simple estimation method that simply captures the ratio of a specific gemstone from those transported from a raw material mine to a precise estimation method that distinguishes the quality in several stages from the color difference in the specific gemstone, Although the estimated time is different, the shortest time is less than 10 seconds. On the other hand, in the conventional quality analysis using a fluorescent X-ray analyzer or the like, for example, in order to carry out a chemical analysis for 1 hour of raw material, it takes an average of 1 hour or more from sampling to outputting an analysis result. As described above, according to the present invention, the time required for estimating the quality can be greatly shortened, and even when the operating condition is changed based on the analysis result, it is possible to promptly respond.

[0015]

Embodiments of the present invention will now be illustratively described in detail with reference to the drawings. FIG. 1 is a diagram showing an embodiment of the present invention and shows a block diagram of a quality monitoring apparatus for a raw ore including an example of a method for imaging the raw ore. In the figure, the raw material ore is sent to the mixing process by a belt conveyor.

In the monitoring device, the appearance state of the raw material ore is imaged by a single video camera provided on the upper part of the belt conveyor before mixing by the RGB three-primary-color lenses, and is processed as an electric signal in the image processing memory unit and calculation. Sent to the central processing unit. For each primary color image, in the image memory unit in the central processing unit, each of the three primary color signals is converted into a multi-valued signal corresponding to its luminance, for example, digitized into 256 gradations between dark and light. At the same time, as the feature amount extraction image, image processing is performed so that the feature amount such as the shape, size, color, and amount of the raw material ore or the color and amount of the powdery substance can be quantitatively extracted, and the processed image is processed. It is stored in the memory unit.

On the other hand, based on the quantitatively extracted characteristic quantities such as the shape, size, color and quantity of the raw material ore, or the color and quantity of the powdery ore, a specific chemical is provided in the central processing unit. Chemical content values such as ingredient content rate, water content rate, and hardness, and physical property values are compared and evaluated with past data to perform quality estimation calculation, and this is output as an electrical signal. The calculated and output electric signal is sent to the monitoring unit and can be constantly monitored. In addition, if these are incorporated into a control system, it becomes a system with good controllability as a raw material blending system. In addition,
Is a monitor and is an analog display.

Next, this monitoring method is applied to CaO in the limestone raw material.
The case of application to quantity estimation will be described. Since limestone has a difference in brightness from other powders and clay, a boundary (threshold value) of brightness in the image is found, and a limestone block is extracted by extracting one having a brightness value above the threshold value (for example, 150). did. Video camera (TK-1070 Victor, RG
Of RGB (Red, Green, Blue) 3 images captured in B output), one image is used as a monochrome image, and an extraction example is shown in FIG.
Shown in.

FIG. 3 shows an example in which the limestone area in the image is calculated by integrating the number of pixels of the limestone lump portion calculated above.

FIG. 4 shows the relationship between the area ratio of the limestone portion obtained by image processing and the amount of CaO in the limestone raw material obtained by a sampler and a fluorescent X-ray analyzer (not shown) on the belt conveyor. It can be seen from FIG. 4 that the area ratio by image processing has a high correlation with CaO% in the limestone raw material.

[0021]

As is apparent from the above description, according to the raw material ore quality monitoring method of the present invention, the appearance state of the raw ore is electrically detected as an image by the image pickup means and converted into a digital signal. In addition to image processing, the quality of the raw ore is estimated and calculated, and the result can be monitored by the monitoring unit, so the equipment is simpler than the existing technology and sample adjustment for analysis is not required, and before the mixing process Since the quality of the raw ore can be monitored, it is possible to respond to rapid and large fluctuations in the quality of the raw ore without time delay. Therefore, it is possible to manufacture the powder blending raw material with stable quality in the blending step.

[Brief description of drawings]

FIG. 1 is a diagram illustrating an embodiment of the present invention, and is a block diagram of a raw material ore quality monitoring device including an example of a raw material ore imaging method.

FIG. 2 is a diagram showing an example of limestone extraction in an example of this specification.

FIG. 3 is a diagram showing how to determine a limestone area ratio in the example of this specification.

FIG. 4 is the area ratio and CaO in the examples of this specification.
It is a figure which shows the comparison of%.

[Explanation of code] ・ ・ ・ ・ Belt conveyor ・ ・ ・ ・ Video camera ・ ・ ・ ・ Central processing unit ・ ・ ・ ・ Monitor ・ ・ ・ ・ Analog display ・ ・ ・ ・ Monitoring unit

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) List of inventors Seiji 1-12-32 Nishihonmachi, Ube City, Yamaguchi Prefecture Ube Head Office Ube Head Office

Claims (1)

[Claims] 1. A method for monitoring the quality of a raw ore, wherein the appearance state of the raw ore is imaged by an imaging means,
A quality monitoring method for a raw ore, characterized by performing image processing based on the image to estimate and calculate a chemical component value or a physical characteristic value of the raw ore.